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A data package which lists every command in base R packages since R version 0.50.
The latest R version covered is 4.5.0.
You can view the data online in a Shiny app.
From r-universe:
install.packages('rcheology', repos = c('https://hughjonesd.r-universe.dev',
'https://cloud.r-project.org'))From CRAN:
install.packages('rcheology')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.
host-run-on-evercran.sh.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
#> 351945 mva kmeans 1.0.1 <NA> closure TRUE FALSE <NA>
#> 403876 stats kmeans 1.9.0 base closure TRUE FALSE function
#> 403880 stats kmeans 2.1.0 base closure TRUE FALSE function
#> 403920 stats kmeans 3.0.2 base closure TRUE FALSE function
#> 403926 stats kmeans 3.2.0 base closure TRUE FALSE function
#> 403951 stats kmeans 4.0.2 base closure TRUE FALSE function
#> S4generic
#> 351945 FALSE
#> 403876 FALSE
#> 403880 FALSE
#> 403920 FALSE
#> 403926 FALSE
#> 403951 FALSE
#> args
#> 351945 (x, centers, iter.max = 10)
#> 403876 (x, centers, iter.max = 10)
#> 403880 (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"))
#> 403920 (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 403926 (x, centers, iter.max = 10L, nstart = 1L, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 403951 (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$Rversion)),
decreasing = TRUE)
r_penultimate <- r_penultimate[2]
r_latest_obj <- rcheology %>% dplyr::filter(Rversion == r_latest)
r_penult_obj <- rcheology %>% dplyr::filter(Rversion == r_penultimate)
r_introduced <- anti_join(r_latest_obj, r_penult_obj, by = c("package", "name"))
r_introduced
#> # A tibble: 26 × 10
#> package name Rversion priority type exported hidden class S4generic args
#> <chr> <chr> <chr> <chr> <chr> <lgl> <lgl> <chr> <lgl> <chr>
#> 1 base .set_… 4.5.0 base clos… TRUE TRUE func… FALSE "(x,…
#> 2 base grepv 4.5.0 base clos… TRUE FALSE func… FALSE "(pa…
#> 3 base summa… 4.5.0 base clos… TRUE FALSE func… FALSE "(ob…
#> 4 base zstdf… 4.5.0 base clos… TRUE FALSE func… FALSE "(de…
#> 5 datasets gait 4.5.0 base doub… FALSE FALSE array FALSE <NA>
#> 6 datasets pengu… 4.5.0 base list FALSE FALSE data… FALSE <NA>
#> 7 datasets pengu… 4.5.0 base list FALSE FALSE data… FALSE <NA>
#> 8 datasets sunsp… 4.5.0 base doub… FALSE FALSE ts FALSE <NA>
#> 9 methods .__T_… 4.5.0 base envi… TRUE TRUE envi… FALSE <NA>
#> 10 methods matri… 4.5.0 base clos… TRUE FALSE grou… TRUE "(x,…
#> # ℹ 16 more rowsBase functions over time:
library(ggplot2)
rvs <- rcheology$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: 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.