Test Performance Checking

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Last updated: 2022-01-19

Checks: 6 1

Knit directory: cogstruct/analysis/

This reproducible R Markdown analysis was created with workflowr (version 1.7.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

---

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• pairwise-CRTPro
• test-retest-CRTPro

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File	Version	Author	Date	Message
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html	9690cf9	Liang Zhang	2022-01-19	Build site.
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html	22b9029	Liang Zhang	2022-01-19	Build site.
Rmd	02fac49	Liang Zhang	2022-01-19	wflow_publish("analysis/test_checking.Rmd")

---

tests_keyboard <- read_lines(here::here("config/require_keybord.txt"))
validation <- tar_read(device_info) |> 
  mutate(valid_device = !(game_name %in% tests_keyboard & used_mouse)) |> 
  inner_join(tar_read(data_validation)) |> 
  filter(valid_device & valid_version) |> 
  group_by(user_id, game_name) |> 
  filter(
    if_else(
      str_detect(game_name_abbr, "[A|B]$"), 
      row_number(desc(game_time)) == 1,
      row_number(desc(game_time)) <= 2
    )
  ) |> 
  ungroup()
indices <- tar_read(indices) |> 
  semi_join(validation) |> 
  mutate(across(starts_with("game_name"), ~ str_remove(.x, "[A|B]$"))) |> 
  group_by(user_id, game_name_abbr, game_name, index_name) |> 
  mutate(occasion = recode(row_number(game_time), `1` = "test", `2` = "retest")) |> 
  ungroup() |> 
  pivot_wider(
    id_cols = c(user_id, game_name, game_name_abbr, index_name), 
    names_from = occasion,
    values_from = score
  )
tests_included <- deframe(distinct(indices, game_name_abbr, game_name))

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

render_content <- function(file, ...) {
  knitr::knit(
    text = knitr::knit_expand(file, ...),
    quiet = TRUE
  )
}
purrr::imap_chr(
  tests_included,
  ~ render_content(
    file = here::here("archetypes/child_check_index.Rmd"),
    game_name_abbr = .x,
    game_name = .y
  )
) |> 
  str_c(collapse = "\n\n") |> 
  cat()

快速归类PRO

data <- indices |> 
  filter(
    game_name_abbr == "CRTPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: CRTPro
• Sample Size: 88
• Index Names:
  • nc
  • mrt
  • rtsd

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

捉虫高级简版

data <- indices |> 
  filter(
    game_name_abbr == "TOVAS",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: TOVAS
• Sample Size: 89
• Index Names:
  • nc
  • mrt
  • rtsd
  • dprime
  • c
  • commissions
  • omissions

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

塔罗牌

data <- indices |> 
  filter(
    game_name_abbr == "WxPred",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: WxPred
• Sample Size: 89
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

数感

data <- indices |> 
  filter(
    game_name_abbr == "NsymNCmp",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: NsymNCmp
• Sample Size: 90
• Index Names:
  • pc
  • mrt
  • w

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

数字卡片

data <- indices |> 
  filter(
    game_name_abbr == "Digit3back",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: Digit3back
• Sample Size: 83
• Index Names:
  • pc
  • mrt
  • dprime
  • c

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

格子卡片

data <- indices |> 
  filter(
    game_name_abbr == "Grid2back",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: Grid2back
• Sample Size: 83
• Index Names:
  • pc
  • mrt
  • dprime
  • c

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

美术卡片

data <- indices |> 
  filter(
    game_name_abbr == "Paint2back",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: Paint2back
• Sample Size: 85
• Index Names:
  • pc
  • mrt
  • dprime
  • c

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

文字卡片

data <- indices |> 
  filter(
    game_name_abbr == "Verbal3back",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: Verbal3back
• Sample Size: 84
• Index Names:
  • pc
  • mrt
  • dprime
  • c

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

魔术师高级

data <- indices |> 
  filter(
    game_name_abbr == "Nback3",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: Nback3
• Sample Size: 89
• Index Names:
  • pc
  • mrt
  • dprime
  • c

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

变色魔块PRO

data <- indices |> 
  filter(
    game_name_abbr == "StopSigPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: StopSigPro
• Sample Size: 88
• Index Names:
  • rt_nth
  • ssrt
  • pc_all
  • pc_go
  • pc_stop

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

多彩文字PRO

data <- indices |> 
  filter(
    game_name_abbr == "ColStrpPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: ColStrpPro
• Sample Size: 90
• Index Names:
  • mrt_inc
  • mrt_con
  • pc_inc
  • pc_con
  • cong_eff_rt
  • cong_eff_pc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

卡片分类PRO

data <- indices |> 
  filter(
    game_name_abbr == "CardSortPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: CardSortPro
• Sample Size: 86
• Index Names:
  • mrt_repeat
  • mrt_switch
  • pc_repeat
  • pc_switch
  • switch_cost_rt_spe
  • switch_cost_pc_spe

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

候鸟迁徙PRO

data <- indices |> 
  filter(
    game_name_abbr == "BirdsPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: BirdsPro
• Sample Size: 90
• Index Names:
  • mrt_inc
  • mrt_con
  • pc_inc
  • pc_con
  • cong_eff_rt
  • cong_eff_pc
  • mrt_repeat
  • mrt_switch
  • pc_repeat
  • pc_switch
  • switch_cost_rt_spe
  • switch_cost_pc_spe

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

方向临摹

data <- indices |> 
  filter(
    game_name_abbr == "JLO",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: JLO
• Sample Size: 102
• Index Names:
  • nc
  • mean_ang_err
  • mean_log_err

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

按图索骥

data <- indices |> 
  filter(
    game_name_abbr == "HOP",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: HOP
• Sample Size: 102
• Index Names:
  • mean_dist_err_allo
  • mean_dist_err_both
  • mean_dist_err_ego
  • mean_log_err_allo
  • mean_log_err_both
  • mean_log_err_ego

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

萤火虫PRO

data <- indices |> 
  filter(
    game_name_abbr == "MOTPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: MOTPro
• Sample Size: 102
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

火眼金睛

data <- indices |> 
  filter(
    game_name_abbr == "AttSrc",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: AttSrc
• Sample Size: 102
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

位置记忆PRO

data <- indices |> 
  filter(
    game_name_abbr == "SSTMPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: SSTMPro
• Sample Size: 102
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

宇宙黑洞

data <- indices |> 
  filter(
    game_name_abbr == "LocMemStd",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: LocMemStd
• Sample Size: 102
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

过目不忘PRO

data <- indices |> 
  filter(
    game_name_abbr == "FWSPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: FWSPro
• Sample Size: 102
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

人工语言-中级

data <- indices |> 
  filter(
    game_name_abbr == "AscLanMd",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: AscLanMd
• Sample Size: 102
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

各得其所

data <- indices |> 
  filter(
    game_name_abbr == "LdnTwr",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: LdnTwr
• Sample Size: 98
• Index Names:
  • prop_perfect
  • mrt_init

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

连点成画PRO

data <- indices |> 
  filter(
    game_name_abbr == "FPTPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: FPTPro
• Sample Size: 102
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

蝴蝶照相机

data <- indices |> 
  filter(
    game_name_abbr == "SCSpan",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: SCSpan
• Sample Size: 102
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

密码箱

data <- indices |> 
  filter(
    game_name_abbr == "KeepTrack",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: KeepTrack
• Sample Size: 102
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

超级秒表PRO

data <- indices |> 
  filter(
    game_name_abbr == "SRTPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: SRTPro
• Sample Size: 99
• Index Names:
  • mrt
  • rtsd

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

一心二用PRO

data <- indices |> 
  filter(
    game_name_abbr == "DualTaskPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: DualTaskPro
• Sample Size: 99
• Index Names:
  • nc
  • mrt
  • rtsd
  • dprime
  • c
  • commissions
  • omissions

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

连续再认

data <- indices |> 
  filter(
    game_name_abbr == "ConRec",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: ConRec
• Sample Size: 99
• Index Names:
  • nc
  • mrt
  • rtsd
  • dprime
  • c
  • commissions
  • omissions

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

图片记忆

data <- indices |> 
  filter(
    game_name_abbr == "BPS",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: BPS
• Sample Size: 99
• Index Names:
  • pc
  • p_sim_foil
  • p_sim_lure
  • p_sim_target
  • bps_score

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

言语记忆

data <- indices |> 
  filter(
    game_name_abbr == "DRM",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: DRM
• Sample Size: 100
• Index Names:
  • tm_dprime
  • tm_bias
  • fm_dprime
  • fm_bias

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

强化学习

data <- indices |> 
  filter(
    game_name_abbr == "ProbRL",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: ProbRL
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

语义判断

data <- indices |> 
  filter(
    game_name_abbr == "Seman",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: Seman
• Sample Size: 99
• Index Names:
  • nc
  • mrt
  • rtsd
  • dprime
  • c
  • commissions
  • omissions

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

声调判断

data <- indices |> 
  filter(
    game_name_abbr == "Tone",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: Tone
• Sample Size: 98
• Index Names:
  • nc
  • mrt
  • rtsd
  • dprime
  • c
  • commissions
  • omissions

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

太空飞船PRO

data <- indices |> 
  filter(
    game_name_abbr == "FlkrPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: FlkrPro
• Sample Size: 99
• Index Names:
  • mrt_inc
  • mrt_con
  • pc_inc
  • pc_con
  • cong_eff_rt
  • cong_eff_pc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

察颜观色PRO

data <- indices |> 
  filter(
    game_name_abbr == "FacesPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: FacesPro
• Sample Size: 99
• Index Names:
  • mrt_inc
  • mrt_con
  • pc_inc
  • pc_con
  • cong_eff_rt
  • cong_eff_pc
  • mrt_repeat
  • mrt_switch
  • pc_repeat
  • pc_switch
  • switch_cost_rt_spe
  • switch_cost_pc_spe

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

顺背数PRO

data <- indices |> 
  filter(
    game_name_abbr == "FDSPro",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: FDSPro
• Sample Size: 99
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

图形推理

data <- indices |> 
  filter(
    game_name_abbr == "NVR",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: NVR
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

数字推理

data <- indices |> 
  filter(
    game_name_abbr == "DR",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: DR
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

文字推理

data <- indices |> 
  filter(
    game_name_abbr == "VR",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: VR
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

三维心理旋转测试

data <- indices |> 
  filter(
    game_name_abbr == "MR3D",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: MR3D
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

时长分辨

data <- indices |> 
  filter(
    game_name_abbr == "DD",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: DD
• Sample Size: 99
• Index Names:
  • threshold

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

时间顺序判断

data <- indices |> 
  filter(
    game_name_abbr == "TOJ",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: TOJ
• Sample Size: 99
• Index Names:
  • threshold

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

节奏感知

data <- indices |> 
  filter(
    game_name_abbr == "RP",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: RP
• Sample Size: 99
• Index Names:
  • threshold

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

专注大师_中级

data <- indices |> 
  filter(
    game_name_abbr == "CalcSpdMed",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: CalcSpdMed
• Sample Size: 94
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

眼耳并用

data <- indices |> 
  filter(
    game_name_abbr == "Dual2back",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: Dual2back
• Sample Size: 99
• Index Names:
  • pc_aud
  • pc_both
  • pc_vis
  • mrt_aud
  • mrt_both
  • mrt_vis
  • dprime_aud
  • dprime_both
  • dprime_vis
  • c_aud
  • c_both
  • c_vis

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

变戏法

data <- indices |> 
  filter(
    game_name_abbr == "AntiSac",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: AntiSac
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

舒尔特方格（中级）

data <- indices |> 
  filter(
    game_name_abbr == "SchulteMed",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: SchulteMed
• Sample Size: 99
• Index Names:
  • nc_cor

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

欢乐餐厅

data <- indices |> 
  filter(
    game_name_abbr == "AscMem",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: AscMem
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

登陆月球（中级）

data <- indices |> 
  filter(
    game_name_abbr == "NLEMed",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: NLEMed
• Sample Size: 99
• Index Names:
  • mean_abs_err
  • mean_log_err

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

速算师（中级）

data <- indices |> 
  filter(
    game_name_abbr == "CalcMed",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: CalcMed
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

图形折叠

data <- indices |> 
  filter(
    game_name_abbr == "FR",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: FR
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

远距离联想

data <- indices |> 
  filter(
    game_name_abbr == "RAT",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: RAT
• Sample Size: 99
• Index Names:
  • nc

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

幸运小球

data <- indices |> 
  filter(
    game_name_abbr == "OCSpan",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: OCSpan
• Sample Size: 99
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

打靶场

data <- indices |> 
  filter(
    game_name_abbr == "RSpan",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: RSpan
• Sample Size: 99
• Index Names:
  • nc
  • max_span
  • mean_span_pcu
  • mean_span_anu

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

雪花收藏家

data <- indices |> 
  filter(
    game_name_abbr == "DirectSrc",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: DirectSrc
• Sample Size: 99
• Index Names:
  • nc_cor

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

我是大厨

data <- indices |> 
  filter(
    game_name_abbr == "MSynWin",
    across(contains("test"), ~ !is.infinite(.x)),
    !(is.na(test) & is.na(retest))
  )
n_indices <- n_distinct(data$index_name)

Basic Information

• Abbreviation: MSynWin
• Sample Size: 99
• Index Names:
  • score_total
  • score_aud
  • score_mem
  • score_vis

Pairwise Correlation of indices

data |> 
  pivot_wider(
    id_cols = user_id,
    names_from = index_name, 
    values_from = test
  ) |> 
  select(-user_id) |> 
  GGally::ggpairs()

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Test-Retest

data_test_retest <- drop_na(data)
reliability <- data_test_retest |> 
  group_by(index_name) |> 
  group_modify(
    ~ tibble(
      n = nrow(.x),
      icc = .x |> 
        select(contains("test")) |> 
        psych::ICC() |> 
        pluck("results", "ICC", 3),
      r = cor(.x$test, .x$retest)
    )
  ) |> 
  ungroup()
data_test_retest |> 
  ggpubr::ggscatter("test", "retest") +
  geom_text(
    data = reliability,
    aes(
      x = -Inf, y = Inf, 
      label = str_glue("N = {n}\nr = {round(r, 2)}\nicc = {round(icc, 2)}")
    ),
    hjust = -0.1, vjust = 1.1
  ) +
  facet_wrap(~ index_name, ncol = 1, scales = "free") +
  theme(aspect.ratio = 1)

Warning: The above code chunk cached its results, but it won’t be re-run if previous chunks it depends on are updated. If you need to use caching, it is highly recommended to also set knitr::opts_chunk$set(autodep = TRUE) at the top of the file (in a chunk that is not cached). Alternatively, you can customize the option dependson for each individual chunk that is cached. Using either autodep or dependson will remove this warning. See the knitr cache options for more details.

Session information

sessionInfo()

R version 4.1.2 (2021-11-01)
Platform: i386-w64-mingw32/i386 (32-bit)
Running under: Windows 10 x64 (build 22000)

Matrix products: default

locale:
[1] LC_COLLATE=Chinese (Simplified)_China.936 
[2] LC_CTYPE=Chinese (Simplified)_China.936   
[3] LC_MONETARY=Chinese (Simplified)_China.936
[4] LC_NUMERIC=C                              
[5] LC_TIME=Chinese (Simplified)_China.936    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] targets_0.10.0   forcats_0.5.1    stringr_1.4.0    dplyr_1.0.7     
 [5] purrr_0.3.4      readr_2.1.1      tidyr_1.1.4.9000 tibble_3.1.6    
 [9] ggplot2_3.3.5    tidyverse_1.3.1  workflowr_1.7.0 

loaded via a namespace (and not attached):
  [1] minqa_1.2.4         colorspace_2.0-2    ggsignif_0.6.3     
  [4] ellipsis_0.3.2      rprojroot_2.0.2     fs_1.5.2           
  [7] rstudioapi_0.13     ggpubr_0.4.0        farver_2.1.0       
 [10] bit64_4.0.5         fansi_1.0.0         lubridate_1.8.0    
 [13] xml2_1.3.3          codetools_0.2-18    splines_4.1.2      
 [16] mnormt_2.0.2        knitr_1.37          jsonlite_1.7.2     
 [19] nloptr_1.2.2.3      broom_0.7.11        dbplyr_2.1.1       
 [22] compiler_4.1.2      httr_1.4.2          backports_1.4.1    
 [25] assertthat_0.2.1    Matrix_1.4-0        fastmap_1.1.0      
 [28] cli_3.1.0           later_1.3.0         htmltools_0.5.2    
 [31] tools_4.1.2         igraph_1.2.11       gtable_0.3.0       
 [34] glue_1.6.0          Rcpp_1.0.7          carData_3.0-5      
 [37] cellranger_1.1.0    jquerylib_0.1.4     vctrs_0.3.8        
 [40] nlme_3.1-153        psych_2.1.9         xfun_0.29          
 [43] ps_1.6.0            lme4_1.1-27.1       rvest_1.0.2        
 [46] lifecycle_1.0.1     rstatix_0.7.0       getPass_0.2-2      
 [49] MASS_7.3-54         scales_1.1.1        vroom_1.5.7        
 [52] hms_1.1.1           promises_1.2.0.1    parallel_4.1.2     
 [55] RColorBrewer_1.1-2  qs_0.25.2           yaml_2.2.1         
 [58] sass_0.4.0          reshape_0.8.8       stringi_1.7.6      
 [61] highr_0.9           boot_1.3-28         rlang_0.99.0.9001  
 [64] pkgconfig_2.0.3     evaluate_0.14       lattice_0.20-45    
 [67] labeling_0.4.2      bit_4.0.4           processx_3.5.2     
 [70] tidyselect_1.1.1    here_1.0.1          GGally_2.1.2       
 [73] plyr_1.8.6          magrittr_2.0.1      R6_2.5.1           
 [76] generics_0.1.1      base64url_1.4       DBI_1.1.2          
 [79] pillar_1.6.4        haven_2.4.3         whisker_0.4        
 [82] withr_2.4.3         abind_1.4-5         modelr_0.1.8       
 [85] crayon_1.4.2        car_3.0-12          utf8_1.2.2         
 [88] tmvnsim_1.0-2       RApiSerialize_0.1.0 tzdb_0.2.0         
 [91] rmarkdown_2.11      grid_4.1.2          readxl_1.3.1       
 [94] data.table_1.14.2   callr_3.7.0         git2r_0.29.0       
 [97] reprex_2.0.1        digest_0.6.29       httpuv_1.6.5       
[100] RcppParallel_5.1.5  munsell_0.5.0       stringfish_0.15.5  
[103] bslib_0.3.1