R Package Vignette Counts

workflowr

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Last updated: 2022-03-16

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Knit directory: myTidyTuesday/

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---

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Ignored files:
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    Ignored:    data/CommunityTreemap.jpeg
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    Ignored:    data/YammerDigitalDataScienceMembership.xlsx
    Ignored:    data/accountchurn.rds
    Ignored:    data/acs_poverty.rds
    Ignored:    data/advancedaccountchurn.rds
    Ignored:    data/airbnbcatboost.rds
    Ignored:    data/austinHomeValue.rds
    Ignored:    data/austinHomeValue2.rds
    Ignored:    data/australiaweather.rds
    Ignored:    data/baseballHRxgboost.rds
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    Ignored:    data/fmhpi.rds
    Ignored:    data/grainstocks.rds
    Ignored:    data/hike_data.rds
    Ignored:    data/nber_rs.rmd
    Ignored:    data/netflixTitles2.rds
    Ignored:    data/pets.rds
    Ignored:    data/pets2.rds
    Ignored:    data/spotifyxgboost.rds
    Ignored:    data/spotifyxgboostadvanced.rds
    Ignored:    data/us_states.rds
    Ignored:    data/us_states_hexgrid.geojson
    Ignored:    data/weatherstats_toronto_daily.csv

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    Untracked:  code/YammerReach.R
    Untracked:  code/googleCompute.R
    Untracked:  code/work list batch targets.R
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---

These are the previous versions of the repository in which changes were made to the R Markdown (analysis/2022_03_14.Rmd) and HTML (docs/2022_03_14.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File	Version	Author	Date	Message
Rmd	df80a1d	opus1993	2022-03-16	CRAN packages treemap with taller aspection ratio
html	102eb53	opus1993	2022-03-16	Build site.
Rmd	3ed6597	opus1993	2022-03-16	CRAN packages treemap filled by vignettes
Rmd	b8ca143	opus1993	2022-03-16	CRAN packages treemap

---

This week’s dataset comes from Dr. Robert Flight and covers the evolution of the built in R package help documentation, often called Vignettes.

suppressPackageStartupMessages({
library(tidyverse) # clean and transform rectangular data
library(grumanlib) # my plot theme
library(treemapify)
})

source(here::here("code","_common.R"),
       verbose = FALSE,
       local = knitr::knit_global())

theme_set(grumanlib::theme_jim())

Load up the data to have a look

cran <- tidytuesdayR::tt_load("2022-03-15")$cran %>%
  mutate(
    MajorVersion = as.integer(str_extract(version, "^[0-9]\\.")),
    VignetteCount = as.integer(rmd + rnw),
    date = lubridate::parse_date_time(date,
      orders = c("Ymd HMS", "a b d HMS Y")
    ),
    package = str_to_lower(package),
    ReleaseYear = lubridate::year((lubridate::floor_date(date, "year")))
  ) %>%
  group_by(package, MajorVersion) %>%
  mutate(ReleaseType = case_when(
    row_number(date) == 1L ~ "Major",
    TRUE ~ "Minor"
  )) %>%
  ungroup()

    Downloading file 1 of 2: `cran.csv`
    Downloading file 2 of 2: `bioc.csv`

downloads <- cranlogs::cran_top_downloads("last-month", count = 100) %>%
  mutate(package = str_to_lower(package))

cran %>%
  count(ReleaseYear, ReleaseType) %>%
  filter(ReleaseYear > 2003) %>%
  ggplot(aes(x = ReleaseYear, n, fill = ReleaseType)) +
  geom_col() +
  labs(
    caption = "2021 is a partial year, ending August 12th",
    y = "Count of Releases published on CRAN"
  )

cran %>%
  arrange(package, date) %>%
  filter(!is.na(date)) %>%
  inner_join(downloads, by = "package") %>%
  group_by(package) %>%
  summarise(
    vignettes = last(VignetteCount),
    born_on = lubridate::year(min(date)),
    age = round(
      lubridate::interval(min(date), Sys.Date()) / lubridate::years(1), 1
    ),
    downloads = sum(count),
    .groups = "drop"
  ) %>%
  mutate(package = glue::glue("{ package } \n { vignettes }")) %>%
  ggplot(aes(
    area = downloads,
    fill = vignettes,
    label = package,
    subgroup = cut_interval(born_on, n = 4)
  )) +
  geom_treemap(show.legend = FALSE) +
  geom_treemap_subgroup_border() +
  geom_treemap_text(aes(color = after_scale(map_chr(fill, best_contrast))),
    place = "top",
    reflow = TRUE
  ) +
  geom_treemap_subgroup_text(
    color = "white",
    alpha = 0.2,
    place = "bottomleft",
    fontface = "italic",
    min.size = 0
  ) +
  labs(
    fill = NULL, title = "Top Most Downloaded R Packages from CRAN",
    subtitle = "Package Name and Number of Vignettes labeled. Size corresponds to the Total Number of Downloads.",
    caption = "Data Source: Robert Flight and cranlogs"
  ) +
  theme(legend.position = "none")

Session information

sessionInfo()

R version 4.1.2 (2021-11-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22000)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252 
[2] LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

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

other attached packages:
 [1] treemapify_2.5.5     grumanlib_0.1.0.9999 forcats_0.5.1       
 [4] stringr_1.4.0        dplyr_1.0.8          purrr_0.3.4         
 [7] readr_2.1.2          tidyr_1.2.0          tibble_3.1.6        
[10] ggplot2_3.3.5        tidyverse_1.3.1      workflowr_1.7.0     

loaded via a namespace (and not attached):
  [1] readxl_1.3.1       backports_1.4.1    systemfonts_1.0.4 
  [4] workflows_0.2.4    selectr_0.4-2      plyr_1.8.6        
  [7] tidytuesdayR_1.0.2 splines_4.1.2      listenv_0.8.0     
 [10] usethis_2.1.5      digest_0.6.29      foreach_1.5.2     
 [13] htmltools_0.5.2    yardstick_0.0.9    viridis_0.6.2     
 [16] parsnip_0.2.0      fansi_1.0.2        magrittr_2.0.2    
 [19] memoise_2.0.1      tune_0.1.6         tzdb_0.2.0        
 [22] recipes_0.2.0      globals_0.14.0     ggfittext_0.9.1   
 [25] modelr_0.1.8       gower_1.0.0        vroom_1.5.7       
 [28] R.utils_2.11.0     hardhat_0.2.0      rsample_0.1.1     
 [31] dials_0.1.0        colorspace_2.0-3   rvest_1.0.2       
 [34] textshaping_0.3.6  haven_2.4.3        xfun_0.29         
 [37] prismatic_1.1.0    callr_3.7.0        crayon_1.5.0      
 [40] jsonlite_1.8.0     survival_3.2-13    iterators_1.0.14  
 [43] glue_1.6.2         gtable_0.3.0       ipred_0.9-12      
 [46] R.cache_0.15.0     future.apply_1.8.1 scales_1.1.1      
 [49] infer_1.0.0        DBI_1.1.2          Rcpp_1.0.8.2      
 [52] viridisLite_0.4.0  bit_4.0.4          GPfit_1.0-8       
 [55] lava_1.6.10        prodlim_2019.11.13 httr_1.4.2        
 [58] ellipsis_0.3.2     farver_2.1.0       pkgconfig_2.0.3   
 [61] R.methodsS3_1.8.1  nnet_7.3-16        sass_0.4.0        
 [64] dbplyr_2.1.1       utf8_1.2.2         here_1.0.1        
 [67] labeling_0.4.2     tidyselect_1.1.2   rlang_1.0.1       
 [70] DiceDesign_1.9     later_1.3.0        munsell_0.5.0     
 [73] cellranger_1.1.0   tools_4.1.2        cachem_1.0.6      
 [76] cli_3.2.0          generics_0.1.2     broom_0.7.12      
 [79] evaluate_0.15      fastmap_1.1.0      yaml_2.3.4        
 [82] ragg_1.2.2         bit64_4.0.5        processx_3.5.2    
 [85] knitr_1.37         fs_1.5.2           workflowsets_0.1.0
 [88] future_1.24.0      whisker_0.4        R.oo_1.24.0       
 [91] xml2_1.3.3         compiler_4.1.2     rstudioapi_0.13   
 [94] curl_4.3.2         cranlogs_2.1.1     reprex_2.0.1      
 [97] lhs_1.1.4          bslib_0.3.1        stringi_1.7.6     
[100] highr_0.9          ps_1.6.0           lattice_0.20-45   
[103] Matrix_1.3-4       styler_1.7.0       conflicted_1.1.0  
[106] vctrs_0.3.8        tidymodels_0.1.4   pillar_1.7.0      
[109] lifecycle_1.0.1    furrr_0.2.3        jquerylib_0.1.4   
[112] httpuv_1.6.5       R6_2.5.1           promises_1.2.0.1  
[115] gridExtra_2.3      parallelly_1.30.0  codetools_0.2-18  
[118] MASS_7.3-54        assertthat_0.2.1   rprojroot_2.0.2   
[121] withr_2.5.0        parallel_4.1.2     hms_1.1.1         
[124] grid_4.1.2         rpart_4.1-15       timeDate_3043.102 
[127] class_7.3-19       rmarkdown_2.13     git2r_0.29.0      
[130] getPass_0.2-2      pROC_1.18.0        lubridate_1.8.0