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rcheology

AppVeyor build status runiverse-package badge CRAN status CRAN downloads

A data package which lists every command in base R packages since R version 0.50.

The latest R version covered is 4.5.2.

You can view the data online in a Shiny app.

Installing

From r-universe:

install.packages('rcheology', repos = c('https://hughjonesd.r-universe.dev', 
                    'https://cloud.r-project.org'))

From CRAN:

install.packages('rcheology')

Where the data comes from

R versions are built using the evercran project.

Results are found from running ls(all.names = TRUE) on all installed packages. For more details, see guest-list-objects.R.

The Rversions data frame lists versions of R and release dates.

Do it yourself

The data

library(rcheology)
data("rcheology")

rcheology[rcheology$name == "kmeans" & rcheology$Rversion %in% c("1.0.1", "1.9.0", "2.1.0", "3.0.2", "3.2.0", "4.0.2"), ]
#>        package   name Rversion priority    type exported hidden    class
#> 358887     mva kmeans    1.0.1     <NA> closure     TRUE  FALSE     <NA>
#> 411736   stats kmeans    1.9.0     base closure     TRUE  FALSE function
#> 411740   stats kmeans    2.1.0     base closure     TRUE  FALSE function
#> 411780   stats kmeans    3.0.2     base closure     TRUE  FALSE function
#> 411786   stats kmeans    3.2.0     base closure     TRUE  FALSE function
#> 411811   stats kmeans    4.0.2     base closure     TRUE  FALSE function
#>        S4generic
#> 358887     FALSE
#> 411736     FALSE
#> 411740     FALSE
#> 411780     FALSE
#> 411786     FALSE
#> 411811     FALSE
#>                                                                                                                              args
#> 358887                                                                                                (x, centers, iter.max = 10)
#> 411736                                                                                                (x, centers, iter.max = 10)
#> 411740                  (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"))
#> 411780   (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 411786 (x, centers, iter.max = 10L, nstart = 1L, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 411811 (x, centers, iter.max = 10L, nstart = 1L, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"), trace = FALSE)

Latest changes:


suppressPackageStartupMessages(library(dplyr))

r_penultimate <- sort(package_version(unique(rcheology::rcheology$Rversion)), 
      decreasing = TRUE)
r_penultimate <- r_penultimate[2]

r_latest_obj <- rcheology %>% dplyr::filter(Rversion == r_latest)
r_penult_obj <- rcheology %>% dplyr::filter(Rversion == r_penultimate)

r_introduced <- anti_join(r_latest_obj, r_penult_obj, by = c("package", "name"))

r_introduced
#> # A tibble: 0 × 10
#> # ℹ 10 variables: package <chr>, name <chr>, Rversion <chr>, priority <chr>,
#> #   type <chr>, exported <lgl>, hidden <lgl>, class <chr>, S4generic <lgl>,
#> #   args <chr>

Base functions over time:

library(ggplot2)

rvs <- rcheology$Rversion     %>% 
      unique()                %>% 
      as.package_version()    %>% 
      sort() %>% 
      as.character()

major_rvs <- grep(".0$", rvs, value = TRUE)
major_rvs <- gsub("0.50", "0.50-a1", major_rvs)
major_rvs <- gsub("0.60", "0.60.0", major_rvs)
major_rv_dates <- Rversions$date[Rversions$Rversion %in% major_rvs]
major_rv_dates
#>  [1] "1997-07-22" "1997-12-04" "1997-12-22" "1998-11-14" "1999-04-08"
#>  [6] "1999-08-28" "1999-11-22" "2000-02-07" "2000-02-29" "2000-06-15"
#> [11] "2000-12-15" "2001-06-22" "2001-12-19" "2002-04-29" "2002-10-01"
#> [16] "2003-04-16" "2003-10-08" "2004-04-12" "2004-10-04" "2005-04-19"
#> [21] "2005-10-06" "2006-04-24" "2006-10-03" "2007-04-24" "2007-10-03"
#> [26] "2008-04-22" "2008-10-20" "2009-04-17" "2009-10-26" "2010-04-22"
#> [31] "2010-10-15" "2011-04-13" "2011-10-31" "2012-03-30" "2013-04-03"
#> [36] "2014-04-10" "2015-04-16" "2016-05-03" "2017-04-21" "2018-04-23"
#> [41] "2019-04-26" "2020-04-24" "2021-05-18" "2022-04-22" "2023-04-21"
#> [46] "2024-04-24" "2025-04-11"
major_rvs <- gsub("\\.0$", "", major_rvs)

rch_dates <- rcheology %>% left_join(Rversions, by = "Rversion")
ggplot(rch_dates, aes(date, group = package, fill = package), colour = NA) + 
      stat_count(geom = "area") + 
      theme(axis.text.x = element_text(angle = 45, hjust = 1, size = 8)) + 
      # ggthemes::scale_fill_gdocs() +
      scale_x_date(breaks  = major_rv_dates, labels = major_rvs) + 
      xlab("Version") + ylab("Function count") + 
      theme(legend.position = "top")
#> Warning in fortify(data, ...): Arguments in `...` must be used.
#> ✖ Problematic argument:
#> • colour = NA
#> ℹ Did you misspell an argument name?
#> Warning: Removed 1615 rows containing non-finite outside the scale range
#> (`stat_count()`).

An alternative view:



ggplot(rch_dates, aes(date, fill = "orange")) + 
      stat_count(geom = "area") + 
      scale_x_date(breaks  = major_rv_dates, labels = major_rvs) + 
      theme(axis.text.x = element_text(angle = 45, hjust = 1, size = 8)) + 
      xlab("Version") + ylab("Function count") + 
      facet_wrap(~package, scales = "free_y", ncol = 2) +
      theme(legend.position = "none") 
#> Warning: Removed 1615 rows containing non-finite outside the scale range
#> (`stat_count()`).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.