The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 4.6.1.

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
#> 369318     mva kmeans    1.0.1     <NA> closure     TRUE  FALSE     <NA>
#> 423546   stats kmeans    1.9.0     base closure     TRUE  FALSE function
#> 423550   stats kmeans    2.1.0     base closure     TRUE  FALSE function
#> 423590   stats kmeans    3.0.2     base closure     TRUE  FALSE function
#> 423596   stats kmeans    3.2.0     base closure     TRUE  FALSE function
#> 423621   stats kmeans    4.0.2     base closure     TRUE  FALSE function
#>        S4generic
#> 369318     FALSE
#> 423546     FALSE
#> 423550     FALSE
#> 423590     FALSE
#> 423596     FALSE
#> 423621     FALSE
#>                                                                                                                              args
#> 369318                                                                                                (x, centers, iter.max = 10)
#> 423546                                                                                                (x, centers, iter.max = 10)
#> 423550                  (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"))
#> 423590   (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 423596 (x, centers, iter.max = 10L, nstart = 1L, algorithm = c("Hartigan-Wong",     "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 423621 (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$Rversion %in% major_rvs]
major_rv_dates
#>  [1] "1997-07-22" "1997-12-04" "1997-12-22" "1998-11-14" "1999-04-08"
#>  [6] "1999-08-28" "1999-11-22" "2000-02-07" "2000-02-29" "2000-06-15"
#> [11] "2000-12-15" "2001-06-22" "2001-12-19" "2002-04-29" "2002-10-01"
#> [16] "2003-04-16" "2003-10-08" "2004-04-12" "2004-10-04" "2005-04-19"
#> [21] "2005-10-06" "2006-04-24" "2006-10-03" "2007-04-24" "2007-10-03"
#> [26] "2008-04-22" "2008-10-20" "2009-04-17" "2009-10-26" "2010-04-22"
#> [31] "2010-10-15" "2011-04-13" "2011-10-31" "2012-03-30" "2013-04-03"
#> [36] "2014-04-10" "2015-04-16" "2016-05-03" "2017-04-21" "2018-04-23"
#> [41] "2019-04-26" "2020-04-24" "2021-05-18" "2022-04-22" "2023-04-21"
#> [46] "2024-04-24" "2025-04-11" "2026-04-24"
major_rvs <- gsub("\\.0$", "", 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 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.