File	Version	Author	Date	Message
html	011d01c	Liang Zhang	2022-01-19	Build site.
Rmd	4e6f38d	Liang Zhang	2022-01-19	wflow_publish("analysis/*.Rmd")
html	9690cf9	Liang Zhang	2022-01-19	Build site.
Rmd	433c01b	Liang Zhang	2022-01-19	wflow_publish("analysis/*.Rmd")
html	655f04c	Liang Zhang	2022-01-19	Build site.
Rmd	5afb062	Liang Zhang	2022-01-19	wflow_publish("analysis/*.Rmd")
html	ddaae03	Liang Zhang	2022-01-19	Build site.
Rmd	ce3f503	Liang Zhang	2022-01-19	wflow_publish("analysis/test_checking.Rmd")
html	22b9029	Liang Zhang	2022-01-19	Build site.
Rmd	02fac49	Liang Zhang	2022-01-19	wflow_publish("analysis/test_checking.Rmd")

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.

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] Rcpp_1.0.7        here_1.0.1        lubridate_1.8.0   getPass_0.2-2    
 [5] ps_1.6.0          assertthat_0.2.1  rprojroot_2.0.2   digest_0.6.29    
 [9] utf8_1.2.2        R6_2.5.1          cellranger_1.1.0  backports_1.4.1  
[13] reprex_2.0.1      evaluate_0.14     httr_1.4.2        pillar_1.6.4     
[17] rlang_0.99.0.9001 readxl_1.3.1      data.table_1.14.2 rstudioapi_0.13  
[21] whisker_0.4       callr_3.7.0       jquerylib_0.1.4   rmarkdown_2.11   
[25] igraph_1.2.11     munsell_0.5.0     broom_0.7.11      compiler_4.1.2   
[29] httpuv_1.6.5      modelr_0.1.8      xfun_0.29         pkgconfig_2.0.3  
[33] htmltools_0.5.2   tidyselect_1.1.1  codetools_0.2-18  fansi_1.0.0      
[37] withr_2.4.3       crayon_1.4.2      tzdb_0.2.0        dbplyr_2.1.1     
[41] later_1.3.0       grid_4.1.2        jsonlite_1.7.2    gtable_0.3.0     
[45] lifecycle_1.0.1   DBI_1.1.2         git2r_0.29.0      magrittr_2.0.1   
[49] scales_1.1.1      cli_3.1.0         stringi_1.7.6     fs_1.5.2         
[53] promises_1.2.0.1  xml2_1.3.3        bslib_0.3.1       ellipsis_0.3.2   
[57] generics_0.1.1    vctrs_0.3.8       tools_4.1.2       glue_1.6.0       
[61] hms_1.1.1         processx_3.5.2    fastmap_1.1.0     yaml_2.2.1       
[65] colorspace_2.0-2  base64url_1.4     rvest_1.0.2       knitr_1.37       
[69] haven_2.4.3       sass_0.4.0

Test Performance Checking

Liang Zhang

2022-01-18

快速归类PRO

Basic Information

Pairwise Correlation of indices

Test-Retest

捉虫高级简版

Basic Information

Pairwise Correlation of indices

Test-Retest

塔罗牌

Basic Information

Pairwise Correlation of indices

Test-Retest

数感

Basic Information

Pairwise Correlation of indices

Test-Retest

数字卡片

Basic Information

Pairwise Correlation of indices

Test-Retest

格子卡片

Basic Information

Pairwise Correlation of indices

Test-Retest

美术卡片

Basic Information

Pairwise Correlation of indices

Test-Retest

文字卡片

Basic Information

Pairwise Correlation of indices

Test-Retest

魔术师高级

Basic Information

Pairwise Correlation of indices

Test-Retest

变色魔块PRO

Basic Information

Pairwise Correlation of indices

Test-Retest

多彩文字PRO

Basic Information

Pairwise Correlation of indices

Test-Retest

卡片分类PRO

Basic Information

Pairwise Correlation of indices

Test-Retest

候鸟迁徙PRO

Basic Information

Pairwise Correlation of indices

Test-Retest

方向临摹

Basic Information

Pairwise Correlation of indices

Test-Retest

按图索骥

Basic Information

Pairwise Correlation of indices

Test-Retest

萤火虫PRO

Basic Information

Pairwise Correlation of indices

Test-Retest

火眼金睛

Basic Information

Pairwise Correlation of indices

Test-Retest

位置记忆PRO

Basic Information

Pairwise Correlation of indices

Test-Retest

宇宙黑洞

Basic Information

Pairwise Correlation of indices

Test-Retest

过目不忘PRO