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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 4.4.1.

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
#> 341560     mva kmeans    1.0.1     <NA> closure     TRUE  FALSE     <NA>
#> 392116   stats kmeans    1.9.0     base closure     TRUE  FALSE function
#> 392120   stats kmeans    2.1.0     base closure     TRUE  FALSE function
#> 392160   stats kmeans    3.0.2     base closure     TRUE  FALSE function
#> 392166   stats kmeans    3.2.0     base closure     TRUE  FALSE function
#> 392191   stats kmeans    4.0.2     base closure     TRUE  FALSE function
#>        S4generic
#> 341560     FALSE
#> 392116     FALSE
#> 392120     FALSE
#> 392160     FALSE
#> 392166     FALSE
#> 392191     FALSE
#>                                                                                                                              args
#> 341560                                                                                                (x, centers, iter.max = 10)
#> 392116                                                                                                (x, centers, iter.max = 10)
#> 392120                  (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"))
#> 392160   (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 392166 (x, centers, iter.max = 10L, nstart = 1L, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 392191 (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$Rversion %in% major_rvs]
major_rv_dates
#>  [1] "1997-07-22" "1997-12-04" "1997-12-22" "1998-11-14" "1999-04-08"
#>  [6] "1999-08-28" "1999-11-22" "2000-02-07" "2000-02-29" "2000-06-15"
#> [11] "2000-12-15" "2001-06-22" "2001-12-19" "2002-04-29" "2002-10-01"
#> [16] "2003-04-16" "2003-10-08" "2004-04-12" "2004-10-04" "2005-04-19"
#> [21] "2005-10-06" "2006-04-24" "2006-10-03" "2007-04-24" "2007-10-03"
#> [26] "2008-04-22" "2008-10-20" "2009-04-17" "2009-10-26" "2010-04-22"
#> [31] "2010-10-15" "2011-04-13" "2011-10-31" "2012-03-30" "2013-04-03"
#> [36] "2014-04-10" "2015-04-16" "2016-05-03" "2017-04-21" "2018-04-23"
#> [41] "2019-04-26" "2020-04-24" "2021-05-18" "2022-04-22" "2023-04-21"
#> [46] "2024-04-24"
major_rvs <- gsub("\\.0$", "", 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: 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.