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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 4.4.1.
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")
$name == "kmeans" & rcheology$Rversion %in% c("1.0.1", "1.9.0", "2.1.0", "3.0.2", "3.2.0", "4.0.2"), ]
rcheology[rcheology#> 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))
<- sort(package_version(unique(rcheology::rcheology$Rversion)),
r_penultimate decreasing = TRUE)
<- r_penultimate[2]
r_penultimate
<- rcheology %>% dplyr::filter(Rversion == r_latest)
r_latest_obj <- rcheology %>% dplyr::filter(Rversion == r_penultimate)
r_penult_obj
<- anti_join(r_latest_obj, r_penult_obj, by = c("package", "name"))
r_introduced
r_introduced#> # A tibble: 0 × 10
#> # ℹ 10 variables: package <chr>, name <chr>, Rversion <chr>, priority <chr>,
#> # type <chr>, exported <lgl>, hidden <lgl>, class <chr>, S4generic <lgl>,
#> # args <chr>
Base functions over time:
library(ggplot2)
<- rcheology$Rversion %>%
rvs unique() %>%
as.package_version() %>%
sort() %>%
as.character()
<- grep(".0$", rvs, value = TRUE)
major_rvs <- gsub("0.50", "0.50-a1", major_rvs)
major_rvs <- gsub("0.60", "0.60.0", major_rvs)
major_rvs <- Rversions$date[Rversions$Rversion %in% major_rvs]
major_rv_dates
major_rv_dates#> [1] "1997-07-22" "1997-12-04" "1997-12-22" "1998-11-14" "1999-04-08"
#> [6] "1999-08-28" "1999-11-22" "2000-02-07" "2000-02-29" "2000-06-15"
#> [11] "2000-12-15" "2001-06-22" "2001-12-19" "2002-04-29" "2002-10-01"
#> [16] "2003-04-16" "2003-10-08" "2004-04-12" "2004-10-04" "2005-04-19"
#> [21] "2005-10-06" "2006-04-24" "2006-10-03" "2007-04-24" "2007-10-03"
#> [26] "2008-04-22" "2008-10-20" "2009-04-17" "2009-10-26" "2010-04-22"
#> [31] "2010-10-15" "2011-04-13" "2011-10-31" "2012-03-30" "2013-04-03"
#> [36] "2014-04-10" "2015-04-16" "2016-05-03" "2017-04-21" "2018-04-23"
#> [41] "2019-04-26" "2020-04-24" "2021-05-18" "2022-04-22" "2023-04-21"
#> [46] "2024-04-24"
<- gsub("\\.0$", "", major_rvs)
major_rvs
<- rcheology %>% left_join(Rversions, by = "Rversion")
rch_dates 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.