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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 4.5.1.
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
#> 355416 mva kmeans 1.0.1 <NA> closure TRUE FALSE <NA>
#> 407806 stats kmeans 1.9.0 base closure TRUE FALSE function
#> 407810 stats kmeans 2.1.0 base closure TRUE FALSE function
#> 407850 stats kmeans 3.0.2 base closure TRUE FALSE function
#> 407856 stats kmeans 3.2.0 base closure TRUE FALSE function
#> 407881 stats kmeans 4.0.2 base closure TRUE FALSE function
#> S4generic
#> 355416 FALSE
#> 407806 FALSE
#> 407810 FALSE
#> 407850 FALSE
#> 407856 FALSE
#> 407881 FALSE
#> args
#> 355416 (x, centers, iter.max = 10)
#> 407806 (x, centers, iter.max = 10)
#> 407810 (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"))
#> 407850 (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 407856 (x, centers, iter.max = 10L, nstart = 1L, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 407881 (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$Rversion)),
decreasing = TRUE)
r_penultimate <- r_penultimate[2]
r_latest_obj <- rcheology %>% dplyr::filter(Rversion == r_latest)
r_penult_obj <- rcheology %>% dplyr::filter(Rversion == r_penultimate)
r_introduced <- anti_join(r_latest_obj, r_penult_obj, by = c("package", "name"))
r_introduced
#> # A tibble: 6 × 10
#> package name Rversion priority type exported hidden class S4generic args
#> <chr> <chr> <chr> <chr> <chr> <lgl> <lgl> <chr> <lgl> <chr>
#> 1 mgcv clog 4.5.1 recomme… clos… TRUE FALSE func… FALSE "(th…
#> 2 mgcv cpois 4.5.1 recomme… clos… TRUE FALSE func… FALSE "(li…
#> 3 mgcv feasible 4.5.1 recomme… clos… TRUE FALSE func… FALSE "(A,…
#> 4 mgcv ijXVXd 4.5.1 recomme… clos… TRUE FALSE func… FALSE "(i,…
#> 5 mgcv lp 4.5.1 recomme… clos… TRUE FALSE func… FALSE "(c,…
#> 6 mgcv mchol 4.5.1 recomme… clos… TRUE FALSE func… FALSE "(A)"Base functions over time:
library(ggplot2)
rvs <- rcheology$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: 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.