Help for package packageRank

Type:

Package

Title:

Computation and Visualization of Package Download Counts and Percentile Ranks

Version:

0.9.6

Date:

2025-05-01

Maintainer:

Peter Li <lindbrook@gmail.com>

Description:

Compute and visualize package download counts and percentile ranks from Posit/RStudio's CRAN mirror.

URL:

https://github.com/lindbrook/packageRank

BugReports:

https://github.com/lindbrook/packageRank/issues

Depends:

R (≥ 3.5)

License:

GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

Encoding:

UTF-8

Language:

en-US

LazyData:

true

RoxygenNote:

7.3.2

Imports:

cranlogs, curl, data.table (≥ 1.12.2), fasttime, ggplot2, ISOcodes, memoise, pkgsearch, R.utils, RCurl, rlang, rversions, sugrrants

Suggests:

knitr, rmarkdown

NeedsCompilation:

Packaged:

2025-04-30 23:54:39 UTC; peter

Author:

Peter Li [aut, cre]

Repository:

CRAN

Date/Publication:

2025-05-01 04:20:02 UTC

packageRank

Description

Compute and Visualize Package Download Counts and Percentile Ranks.

Details

Download counts via cranDownloads().
Percentile ranks of download counts via packageRank() and packageLog().
Download count inflation filters.
Availability of results via logInfo().
Reverse lookup of counts, ranks and percentile ranks.
Data fixes for logs and 'cranlogs' R package.
Note Sunday and Wednesday spikes in Windows R Application Nov 2022 - Mar 2023.
Discuss country code top-level domains, memoization and internet connection timeout problem.

Author(s)

Maintainer: Peter Li lindbrook@gmail.com

Annual/monthly package downloads from Bioconductor.

Description

Annual/monthly package downloads from Bioconductor.

Usage

bioconductorDownloads(packages = NULL, from = NULL, to = NULL,
  when = NULL, unit.observation = "month")

Arguments

packages

Character. Vector of package names.

from

Start date as yyyy-mm or yyyy.

to

End date as yyyy-mm or yyyy.

when

"last-year", or "year-to-date" or "ytd".

unit.observation

"year" or "month".

Examples

## Not run: 
# all packages
bioconductorDownloads()

# entire history
bioconductorDownloads(packages = "clusterProfiler")

# year-to-date
bioconductorDownloads(packages = "clusterProfiler", when = "ytd")
bioconductorDownloads(packages = "clusterProfiler", when = "year-to-date")

# last 12 months
bioconductorDownloads(packages = "clusterProfiler", when = "last-year")

# from 2015 to current year
bioconductorDownloads(packages = "clusterProfiler", from = 2015)

# 2010 through 2015 (yearly)
bioconductorDownloads(packages = "clusterProfiler", from = 2010, to = 2015,
  unit.observation = "year")

# selected year (yearly)
bioconductorDownloads(packages = "clusterProfiler", from = 2015, to = 2015)

# selected year (monthly)
bioconductorDownloads(packages = "clusterProfiler", from = "2015-01", to = "2015-12")

# June 2014 through March 2015
bioconductorDownloads(packages = "clusterProfiler", from = "2014-06", to = "2015-03")

## End(Not run)

Package download counts and rank percentiles.

Description

From bioconductor

Usage

bioconductorRank(packages = "monocle", date = "2019-01",
  count = "download")

Arguments

packages

Character. Vector of package name(s).

date

Character. Date. yyyy-mm

count

Character. "ip" or "download".

Value

An R data frame.

Examples

## Not run: 
bioconductorRank(packages = "cicero", date = "2019-09")

## End(Not run)

Blog post data.

Description

archive.pkg_ver
archive.pkg_ver.filtered
cran.pkg_ver
cran.pkg_ver.filtered
dl.ct
dl.ct2
pkg.ct
pkg.ct2
oct.data
cholera.data
ggplot2.data
VR.data
smpl
smpl.histories
smpl.archive
smpl.archive.histories
ccode.ct
crosstab_2019_10_01
percentiles
top.n.oct2019
top.n.jul2020
download.country
october.downloads
july.downloads
cran.pkgs.oct
arch.pkgs.oct
cran.pkgs.jul
arch.pkgs.jul
pkg.history

Usage

blog.data

Format

A list with 29 elements.

Tabulate package downloads by country.

Description

From RStudio's CRAN Mirror http://cran-logs.rstudio.com/

Usage

countryDistribution(date = NULL, all.filters = FALSE, ip.filter = FALSE,
  small.filter = FALSE, sequence.filter = FALSE, size.filter = FALSE,
  memoization = TRUE, multi.core = FALSE)

Arguments

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

sequence.filter

Logical.

size.filter

Logical.

memoization

Logical. Use memoization when downloading logs.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Value

An R data frame.

Tabulate a country's package downloads.

Description

From RStudio's CRAN Mirror http://cran-logs.rstudio.com/

Usage

countryPackage(country = "HK", date = NULL, all.filters = FALSE,
  ip.filter = FALSE, small.filter = FALSE, sequence.filter = FALSE,
  size.filter = FALSE, sort.count = TRUE, memoization = TRUE)

Arguments

country

Character. country abbreviation.

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

sequence.filter

Logical. Set to FALSE.

size.filter

Logical. Set to FALSE.

sort.count

Logical. Sort by download count.

memoization

Logical. Use memoization when downloading logs.

Note

"US" outlier 10 min with all filters!

Counts v. Rank Percentiles for 'cholera' for First Week of March 2020.

Description

Document code for blog graph.

Usage

countsRanks(package = "cholera", size.filter = FALSE)

Arguments

package

Character.

size.filter

Logical.

CRAN distribution (prototype).

Description

From Posit's CRAN Mirror http://cran-logs.rstudio.com/

Usage

cranDistribution(date = NULL, all.filters = FALSE, ip.filter = FALSE,
  small.filter = FALSE, memoization = TRUE, multi.core = FALSE)

Arguments

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

memoization

Logical. Use memoization when downloading logs.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Value

An R data frame.

Daily package downloads from the RStudio CRAN mirror.

Description

Enhanced implementation of cranlogs::cran_downloads().

Usage

cranDownloads(packages = NULL, when = NULL, from = NULL, to = NULL,
  check.package = TRUE, dev.mode = FALSE, fix.cranlogs = TRUE,
  pro.mode = FALSE)

Arguments

packages

A character vector, the packages to query, or NULL for a sum of downloads for all packages. Alternatively, it can also be "R", to query downloads of R itself. "R" cannot be mixed with packages.

when

last-day, last-week or last-month. If this is given, then from and to are ignored.

from

Start date as yyyy-mm-dd, yyyy-mm or yyyy.

to

End date as yyyy-mm-dd, yyyy-mm or yyyy.

check.package

Logical. Validate and "spell check" package.

dev.mode

Logical. Use validatePackage0() to scrape CRAN.

fix.cranlogs

Logical. Use RStudio logs to fix 8 dates with duplicated data in 'cranlogs' results.

pro.mode

Logical. Faster but fewer checks/features. Closer to cranlogs::cran_downloads() but with cranDownloads()'s plot method.

Examples

## Not run: 
cranDownloads(packages = "HistData")
cranDownloads(packages = "HistData", when = "last-week")
cranDownloads(packages = "HistData", when = "last-month")

# January 7 - 31, 2019
cranDownloads(packages = "HistData", from = "2019-01-07", to = "2019-01-31")

# February through March 2019
cranDownloads(packages = "HistData", from = "2019-02", to = "2019-03")

# 2024 year-to-date
cranDownloads(packages = "HistData", from = 2024)

## End(Not run)

CRAN inflation plot.

Description

Document code.

Usage

cranInflationPlot(dataset = "october")

Arguments

dataset

Character. "october" or "july" for October 2019 or July 2020.

Scrape CRAN Mirrors data.

Description

https://cran.r-project.org/mirrors.html

Usage

cranMirrors(description = FALSE)

Arguments

description

Logical. Mirror details.

Compute Current Time in Selected Time Zone.

Description

Compute Current Time in Selected Time Zone.

Usage

currentTime(tz = "Australia/Sydney")

Arguments

tz

Character. Local time zone. See OlsonNames() or use Sys.timezone().

Compute Downloads by Country Code.

Description

Compute Downloads by Country Code.

Usage

downloadsCountry(month_cran_log, multi.core = FALSE)

Arguments

month_cran_log

Object.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores to use. Note that due to performance considerations, the number of cores defaults to one on Windows.

Filtered package downloads from the RStudio CRAN mirror (prototype).

Description

ip, small, sequence and size filters.

Usage

filteredDownloads(packages = "HistData", date = NULL, all.filters = TRUE,
  ip.filter = FALSE, small.filter = FALSE, sequence.filter = FALSE,
  size.filter = FALSE, check.package = TRUE, memoization = TRUE,
  multi.core = FALSE)

Arguments

packages

Character. Vector of package name(s).

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

sequence.filter

Logical.

size.filter

Logical.

check.package

Logical. Validate and "spell check" package.

memoization

Logical. Use memoization when downloading logs.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Inflation plots of effects of "small" downloads and prior versions for October 2019: 'cholera', 'ggplot2', and 'VR'.

Description

Document code for blog graph.

Usage

inflationPlot(package = "cholera", filter = "size",
  legend.loc = "topleft")

Arguments

package

Character.

filter

Character. Size, version, or size and version

legend.loc

Character. Location of legend.

Inflation plots of effects of "small" downloads on aggregate CRAN downloads for October 2019 and July 2020.

Description

Document code.

Usage

inflationPlot2(dataset = "october", filter = "small", wed = FALSE,
  subtitle = TRUE, legend.loc = "topleft")

Arguments

dataset

Character. "october" or "july" for October 2019 or July 2020.

filter

Character. "small", "ip", or "ip.small".

wed

Logical.

subtitle

Logical.

legend.loc

Character. Location of legend.

Count number of IP addresses.

Description

From RStudio's CRAN Mirror http://cran-logs.rstudio.com/

Usage

ipCount(date = NULL, memoization = TRUE, sort.count = TRUE)

Arguments

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

memoization

Logical. Use memoization when downloading logs.

sort.count

Logical. Sort by download count.

Unique package download counts by IP address.

Description

From RStudio's CRAN Mirror http://cran-logs.rstudio.com/

Usage

ipDownloads(date = NULL, memoization = TRUE)

Arguments

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

memoization

Logical. Use memoization when downloading logs.

Tabulate an IP's package downloads.

Description

From RStudio's CRAN Mirror http://cran-logs.rstudio.com/

Usage

ipPackage(ip = 10, date = NULL, all.filters = FALSE, ip.filter = FALSE,
  small.filter = FALSE, sequence.filter = FALSE, size.filter = FALSE,
  sort.count = TRUE, memoization = TRUE, multi.core = FALSE)

Arguments

ip

Numeric. ip_id. Positive integer.

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

sequence.filter

Logical.

size.filter

Logical.

sort.count

Logical. Sort by download count.

memoization

Logical. Use memoization when downloading logs.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Note

ip = 10 is a tw top-level domain on 2020-07-09.

Compute Local Time from Coordinated Universal Time (UTC/GMT).

Description

Compute Local Time from Coordinated Universal Time (UTC/GMT).

Usage

localTime(date = "2021-1-1", time = "12:00", tz = Sys.timezone())

Arguments

date

Character. Date "yyyy-mm-dd".

time

Character. Local time "hh:mm" or "hh:mm:ss".

tz

Character. Local time zone. See OlsonNames() or use Sys.timezone().

Compute Effective CRAN Log Date Based on Local and UTC Time (prototype).

Description

RStudio CRAN Mirror Logs for previous day are posted at 17:00:00 UTC.

Usage

logDate(date = NULL, check.url = TRUE, tz = Sys.timezone(),
  upload.time = "17:00", warning.msg = TRUE, fix.date = TRUE)

Arguments

date

Character. Date of desired log "yyyy-mm-dd". NULL returns date of latest available log.

check.url

Logical.

tz

Character. Time zone. See OlsonNames().

upload.time

Character. UTC upload time for logs "hh:mm" or "hh:mm:ss".

warning.msg

Logical. TRUE uses warning() if the function returns the date of the previous available log.

fix.date

Logical. Fix date when directly accessing RStudio logs.

Value

An R date object.

Compute Availability, Date, Time of "Today's" Log.

Description

Also checks availability of Posit/RStudio logs and 'cranlogs' data.

Usage

logInfo(details = FALSE, tz = Sys.timezone(), upload.time = "17:00")

Arguments

details

Logical. Check available logs and results.

tz

Character. Local time zone. See OlsonNames() or use Sys.timezone().

upload.time

Character. UTC upload time for logs "hh:mm" or "hh:mm:ss".

Get CRAN logs for selected month.

Description

Compute list of log files, 'lst', for packageVersionPercent().

Usage

monthlyLog(yr.mo = "2020-07")

Arguments

yr.mo

Character. "yyyy-mm".

Note

This is computationally intensive; you're downloading 30 odd files that are each around 50 MB in size (and creating a ~1.5 GB file)! Parallelization not practical; multiple attempts to connect to website causes problems. Truncates in-progress/future dates to yesterday's date. Automatically takes care of leap days (e.g., monthlyLog("2020-02").

Package download counts by country.

Description

From RStudio's CRAN Mirror http://cran-logs.rstudio.com/

Usage

packageCountry(packages = "cholera", date = NULL, all.filters = FALSE,
  ip.filter = FALSE, small.filter = FALSE, sequence.filter = FALSE,
  size.filter = FALSE, sort = TRUE, na.rm = FALSE, memoization = TRUE,
  check.package = TRUE, multi.core = FALSE)

Arguments

packages

Character. Vector of package name(s).

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

sequence.filter

Logical.

size.filter

Logical.

sort

Logical. Sort by download count.

na.rm

Logical. Remove NAs.

memoization

Logical. Use memoization when downloading logs.

check.package

Logical. Validate and "spell check" package.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Package Download Distribution.

Description

Package Download Distribution.

Usage

packageDistribution(package = "HistData", date = NULL,
  all.filters = FALSE, ip.filter = FALSE, small.filter = FALSE,
  memoization = TRUE, check.package = TRUE, multi.core = FALSE)

Arguments

package

Character. Vector of package name(s).

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

memoization

Logical. Use memoization when downloading logs.

check.package

Logical. Validate and "spell check" package.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Extract package or R version history.

Description

Date and version of all publications.

Usage

packageHistory(package = "cholera", check.package = TRUE)

Arguments

package

Character. Vector of package names (including "R").

check.package

Logical. Validate and "spell check" package.

Get Package Download Logs.

Description

From RStudio's CRAN Mirror http://cran-logs.rstudio.com/

Usage

packageLog(packages = "cholera", date = NULL, all.filters = FALSE,
  ip.filter = FALSE, sequence.filter = FALSE, size.filter = FALSE,
  small.filter = FALSE, memoization = TRUE, check.package = TRUE,
  multi.core = FALSE)

Arguments

packages

Character. Vector of package name(s).

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

sequence.filter

Logical.

size.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

memoization

Logical. Use memoization when downloading logs.

check.package

Logical. Validate and "spell check" package.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores.

Value

An R data frame.

Package download counts and rank percentiles.

Description

From Posit/RStudio's CRAN Mirror (CDN) http://cran-logs.rstudio.com/

Usage

packageRank(packages = "packageRank", date = NULL, all.filters = FALSE,
  ip.filter = FALSE, small.filter = FALSE, memoization = TRUE,
  check.package = TRUE, rank.ties = TRUE, multi.core = FALSE)

Arguments

packages

Character. Vector of package name(s).

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

memoization

Logical. Use memoization when downloading logs.

check.package

Logical. Validate and "spell check" package.

rank.ties

Logical. TRUE uses competition ranking ("1224") for ties. FALSE uses nominal rank (no ties).

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Value

An R data frame.

Examples

## Not run: 
packageRank(packages = "cholera", date = "2020-01-01")
packageRank(packages = c("h2o", "Rcpp", "rstan"), date = "2020-01-01")

## End(Not run)

Compute data for versionPlot().

Description

packageRank::blog.data or recompute random sample of packages.

Usage

packageVersionPercent(lst, yr.mo = "2020-07", multi.core = FALSE)

Arguments

lst

Object. List of CRAN download logs data frames. Use monthlyLog().

yr.mo

Character. "yyyy-mo". packageVersionsPercent(NULL, yr.mo)

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Examples

## Not run: 
# To resample and recompute, set lst to NULL, specify a yr.mo:
packageVersionPercent(NULL, yr.mo = "2020-07")

Otherwise, you must provide a pre-computed lst of logs.

## End(Not run)

Plot method for bioconductorDownloads().

Description

Plot method for bioconductorDownloads().

Usage

## S3 method for class 'bioconductorDownloads'
plot(x, graphics = NULL,
  count = "download", cumulative = FALSE, points = "auto",
  smooth = FALSE, f = 2/3, span = 3/4, se = FALSE, log.y = FALSE,
  r.version = FALSE, same.xy = TRUE, multi.plot = FALSE,
  legend.loc = "topleft", ...)

Arguments

x

object.

graphics

Character. NULL, "base" or "ggplot2".

count

Character. "download" or "ip".

cumulative

Logical. Use cumulative counts.

points

Character of Logical. Plot points. "auto", TRUE, FALSE. "auto" for bioconductorDownloads(unit.observation = "month") with 24 or fewer months, points are plotted.

smooth

Logical. Add stats::lowess smoother.

f

Numeric. smoother window for stats::lowess(). For graphics = "base" only; c.f. stats::lowess(f)

span

Numeric. Smoothing parameter for geom_smooth(); c.f. stats::loess(span).

se

Logical. Works only with graphics = "ggplot2".

log.y

Logical. Logarithm of package downloads.

r.version

Logical. Add R release dates.

same.xy

Logical. Use same scale for multiple packages when graphics = "base".

multi.plot

Logical. Plot all data in a single window frame.

legend.loc

Character.

...

Additional plotting parameters.

Examples

## Not run: 
plot(bioconductorDownloads())
plot(bioconductorDownloads(packages = "graph"))
plot(bioconductorDownloads(packages = "graph", from = 2010, to = 2015))
plot(bioconductorDownloads(packages = "graph", from = "2014-06", to = "2015-03"))
plot(bioconductorDownloads(packages = c("graph", "IRanges", "S4Vectors"), from = 2018))

## End(Not run)

Plot method for bioconductorRank().

Description

Plot method for bioconductorRank().

Usage

## S3 method for class 'bioconductorRank'
plot(x, graphics = NULL, log.y = TRUE, ...)

Arguments

x

An object of class "bioconductor_rank" created by bioconductorRank().

graphics

Character. "base" or "ggplot2".

log.y

Logical. Logarithm of package downloads.

...

Additional plotting parameters.

Value

A base R or ggplot2 plot.

Plot top 10 package downloads by country domain.

Description

Plot method for countryDistribution().

Usage

## S3 method for class 'countryDistribution'
plot(x, N = 10, ...)

Arguments

x

An object of class "countryDistribution" created by countryDistribution().

N

Integer. Top N countries.

...

Additional plotting parameters.

Plot method for countsRanks().

Description

Plot method for countsRanks().

Usage

## S3 method for class 'countsRanks'
plot(x, ...)

Arguments

x

object.

...

Additional plotting parameters.

Plot method for cranDistribution().

Description

Plot method for cranDistribution().

Usage

## S3 method for class 'cranDistribution'
plot(x, type = "count", ...)

Arguments

x

An object of class "cranDistribution" created by cranDistribution().

type

Character. "histogram" or "count".

...

Additional plotting parameters.

Value

A base R plot.

Plot method for cranDownloads().

Description

Plot method for cranDownloads().

Usage

## S3 method for class 'cranDownloads'
plot(x, statistic = "count", graphics = "auto",
  points = "auto", log.y = FALSE, smooth = FALSE, se = FALSE,
  f = 1/3, span = 3/4, package.version = FALSE, r.version = FALSE,
  population.plot = FALSE, population.seed = as.numeric(Sys.Date()),
  multi.plot = FALSE, same.xy = TRUE, legend.location = "topleft",
  ip.legend.location = "topright", r.total = FALSE, dev.mode = FALSE,
  unit.observation = "day", chatgpt = FALSE, weekend = FALSE,
  multi.core = FALSE, ...)

Arguments

x

object.

statistic

Character. "count" or "cumulative".

graphics

Character. "auto", "base" or "ggplot2".

points

Character of Logical. Plot points. "auto", TRUE, FALSE.

log.y

Logical. Logarithm of package downloads.

smooth

Logical. Add smoother.

se

Logical. Works only with graphics = "ggplot2".

f

Numeric. smoother window for stats::lowess(). For graphics = "base" only; c.f. stats::lowess(f)

span

Numeric. Smoothing parameter for geom_smooth(); c.f. stats::loess(span).

package.version

Logical or "line". Add package release dates and vertical lines.

r.version

Logical or "line". Add R release dates and vertical lines.

population.plot

Logical. Plot population plot.

population.seed

Numeric. Seed for sample in population plot.

multi.plot

Logical.

same.xy

Logical. Use same scale for multiple packages when graphics = "base".

legend.location

Character.

ip.legend.location

Character. Location of in-progress legend.

r.total

Logical.

dev.mode

Logical. Use packageHistory0() to scrape CRAN.

unit.observation

Character. "year", "month", "week", or "day".

chatgpt

Logical or "line". Add intitial availability date and vertical line for ChatGPT.

weekend

Logical. Highlight weekends (pch = 1) when unit.observation = "day".

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

...

Additional plotting parameters.

Value

A base R or ggplot2 plot.

Examples

## Not run: 
plot(cranDownloads(packages = c("Rcpp", "rlang", "data.table")))
plot(cranDownloads(packages = c("Rcpp", "rlang", "data.table"), when = "last-month"))
plot(cranDownloads(packages = "R", from = "2020-01-01", to = "2020-01-01"))
plot(cranDownloads(packages = "R", from = 2020))

## End(Not run)

Plot method for packageDistribution().

Description

Plot method for packageDistribution().

Usage

## S3 method for class 'packageDistribution'
plot(x, ...)

Arguments

x

An object of class "packageDistribution" created by packageDistribution().

...

Additional plotting parameters.

Plot method for packageRank() and packageRank0().

Description

Plot method for packageRank() and packageRank0().

Usage

## S3 method for class 'packageRank'
plot(x, graphics = NULL, log.y = TRUE, ...)

Arguments

x

An object of class "packageRank" created by packageRank().

graphics

Character. "base" or "ggplot2".

log.y

Logical. Logarithm of package downloads.

...

Additional plotting parameters.

Value

A base R or ggplot2 plot.

Examples

## Not run: 
plot(packageRank(packages = "HistData", date = "2020-01-01"))
plot(packageRank(packages = c("h2o", "Rcpp", "rstan"), date = "2020-01-01"))

## End(Not run)

Plot method for packageVersionPercent().

Description

Plot method for packageVersionPercent().

Usage

## S3 method for class 'packageVersionPercent'
plot(x, ...)

Arguments

x

An object of class "packageVersionPercent".

...

Additional plotting parameters.

Plot method for weeklyDownloads().

Description

Plot method for weeklyDownloads().

Usage

## S3 method for class 'weeklyDownloads'
plot(x, statistic = "percent",
  aggregation = "day", typical.value = "mean", nrow = 3L, ...)

Arguments

x

object.

statistic

Character. "count" or "percent".

aggregation

Character. "week" or "day".

typical.value

Character. "mean" or "median".

nrow

Numeric. Number of rows for ggplot2 facets.

...

Additional plotting parameters.

Examples

## Not run: 
plot(weeklyDownloads())
plot(weeklyDownloads(n = 9), aggregation = "week")

## End(Not run)

Plot Compute Downloads by Country Code.

Description

Plot Compute Downloads by Country Code.

Usage

plotDownloadsCountry()

Plot Top N Downloads by Country Code.

Description

Plot Top N Downloads by Country Code.

Usage

plotTopCountryCodes(dataset = "october", second.place = FALSE)

Arguments

dataset

Character.

second.place

Logical. Annotate second place country.

Print method for bioconductorDownloads().

Description

Print method for bioconductorDownloads().

Usage

## S3 method for class 'bioconductorDownloads'
print(x, ...)

Arguments

x

object.

...

Additional parameters.

Print method for bioconductorRank().

Description

Print method for bioconductorRank().

Usage

## S3 method for class 'bioconductorRank'
print(x, ...)

Arguments

x

An object of class "bioconductor_rank" created by bioconductorRank()

...

Additional parameters.

Print method for countryDistribution().

Description

Print method for countryDistribution().

Usage

## S3 method for class 'countryDistribution'
print(x, N = 10, ...)

Arguments

x

object.

N

Integer. Top N countries.

...

Additional parameters.

Print method for cranDistribution().

Description

Print method for cranDistribution().

Usage

## S3 method for class 'cranDistribution'
print(x, top.n = 20, ...)

Arguments

x

object.

top.n

Numeric or Integer.

...

Additional parameters.

Print method for cranDownloads().

Description

Print method for cranDownloads().

Usage

## S3 method for class 'cranDownloads'
print(x, ...)

Arguments

x

object.

...

Additional parameters.

Print method for packageDistribution().

Description

Print method for packageDistribution().

Usage

## S3 method for class 'packageDistribution'
print(x, ...)

Arguments

x

An object of class "packageDistribution" created by packageDistribution()

...

Additional parameters.

Print method for packageRank().

Description

Print method for packageRank().

Usage

## S3 method for class 'packageRank'
print(x, ...)

Arguments

x

An object of class "packageRank" created by packageRank()

...

Additional parameters.

Query download count.

Description

Query download count.

Usage

queryCount(count = 1, date = NULL, all.filters = FALSE,
  ip.filter = FALSE, small.filter = FALSE, memoization = TRUE,
  multi.core = FALSE)

Arguments

count

Numeric or Integer. whole number.

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

memoization

Logical. Use memoization when downloading logs.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Value

An R data frame.

Query package name.

Description

Query package name.

Usage

queryPackage(packages = "packageRank", date = NULL, all.filters = FALSE,
  ip.filter = FALSE, small.filter = FALSE, memoization = TRUE,
  check.package = TRUE, multi.core = FALSE)

Arguments

packages

Character..

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

memoization

Logical. Use memoization when downloading logs.

check.package

Logical. Validate and "spell check" package.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Value

An R data frame.

Percentile-rank query.

Description

Percentile-rank query.

Usage

queryPercentile(percentile = 50, lo = NULL, hi = NULL, date = NULL,
  all.filters = FALSE, ip.filter = FALSE, small.filter = FALSE,
  memoization = TRUE, multi.core = FALSE)

Arguments

percentile

Numeric. 50 uses median().

lo

Integer.

hi

Integer

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

memoization

Logical. Use memoization when downloading logs.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Value

An R data frame.

Rank query.

Description

Rank query.

Usage

queryRank(num.rank = 1, rank.ties = FALSE, date = NULL,
  all.filters = FALSE, ip.filter = FALSE, small.filter = FALSE,
  memoization = TRUE, multi.core = FALSE)

Arguments

num.rank

Numeric or Integer.

rank.ties

Logical. TRUE uses ties. FALSE does not.

date

Character. Date. "yyyy-mm-dd". NULL uses latest available log.

all.filters

Logical. Master switch for filters.

ip.filter

Logical.

small.filter

Logical. TRUE filters out downloads less than 1000 bytes.

memoization

Logical. Use memoization when downloading logs.

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

Value

An R data frame.

Eight RStudio Download Logs to Fix Duplicate Logs Errors in 'cranlogs'.

Description

October 6-8, 2012; October 11, 2012; December 26-28; and January 1, 20113.

Usage

rstudio.logs

Format

date
time
size
r_version
r_arch
r_os
package
version
country
ip_id

Summary method for bioconductorDownloads().

Description

Summary method for bioconductorDownloads().

Usage

## S3 method for class 'bioconductorDownloads'
summary(object, ...)

Arguments

object

Object.

...

Additional parameters.

Summary method for bioconductorRank().

Description

Summary method for bioconductorRank().

Usage

## S3 method for class 'bioconductorRank'
summary(object, ...)

Arguments

object

Object. An object of class "bioconductor_rank" created by bioconductorRank()

...

Additional parameters.

Note

This is useful for directly accessing the data frame.

Summary method for cranDistribution().

Description

Five number (+ mean) summary of download count distribution

Usage

## S3 method for class 'cranDistribution'
summary(object, ...)

Arguments

object

An object of class "cranDistribution" created by cranDistribution().

...

Additional plotting parameters.

Value

A base R vector

Summary method for cranDownloads().

Description

Summary method for cranDownloads().

Usage

## S3 method for class 'cranDownloads'
summary(object, ...)

Arguments

object

Object.

...

Additional parameters.

Note

This is useful for directly accessing the data frame.

Summary method for packageRank().

Description

Summary method for packageRank().

Usage

## S3 method for class 'packageRank'
summary(object, ...)

Arguments

object

Object. An object of class "packageRank" created by packageRank()

...

Additional parameters.

Note

This is useful for directly accessing the data frame.

Compute Top N Downloads by Country Code.

Description

Compute Top N Downloads by Country Code.

Usage

topCountryCodes(month_cran_log, top.n = 5L, multi.core = FALSE)

Arguments

month_cran_log

Object.

top.n

Integer.

multi.core

Compute Coordinated Universal Time (UTC/GMT) for Your Local Time.

Description

Compute Coordinated Universal Time (UTC/GMT) for Your Local Time.

Usage

utc()

Compute Coordinated Universal Time (UTC/GMT) for Specified Local Time.

Description

Compute Coordinated Universal Time (UTC/GMT) for Specified Local Time.

Usage

utc0(date = "2020-01-01", time = "12:00:00", tz = "Europe/Vienna")

Arguments

date

Character. Date "yyyy-mm-dd".

time

Character. Local time "hh:mm" or "hh:mm:ss".

tz

Character. Local time zone. See OlsonNames() or use Sys.timezone().

Version Plot.

Description

Document code for blog graph.

Usage

versionPlot()

Sample Weekly CRAN Downloads Data.

Description

From RStudio's CRAN Mirror http://cran-logs.rstudio.com/

Usage

weeklyDownloads(start.yr = 2013, n = 50, multi.core = FALSE)

Arguments

start.yr

Numeric or Integer.

n

Numeric or Integer. Number of weeks (samples).

multi.core

Logical or Numeric. TRUE uses parallel::detectCores(). FALSE uses one, single core. You can also specify the number logical cores. Mac and Unix only.

packageRank

Description

Details

Author(s)

See Also

Annual/monthly package downloads from Bioconductor.

Description

Usage

Arguments

Examples

Package download counts and rank percentiles.

Description

Usage

Arguments

Value

Examples

Blog post data.

Description

Usage

Format

Tabulate package downloads by country.

Description

Usage

Arguments

Value

Tabulate a country's package downloads.

Description

Usage

Arguments

Note

Counts v. Rank Percentiles for 'cholera' for First Week of March 2020.

Description

Usage

Arguments

CRAN distribution (prototype).

Description

Usage

Arguments

Value

Daily package downloads from the RStudio CRAN mirror.

Description

Usage

Arguments

Examples

CRAN inflation plot.

Description

Usage

Arguments

Scrape CRAN Mirrors data.

Description

Usage

Arguments

Compute Current Time in Selected Time Zone.

Description

Usage

Arguments

Compute Downloads by Country Code.

Description

Usage

Arguments

Filtered package downloads from the RStudio CRAN mirror (prototype).

Description

Usage

Arguments

Inflation plots of effects of "small" downloads and prior versions for October 2019: 'cholera', 'ggplot2', and 'VR'.

Description

Usage

Arguments

Inflation plots of effects of "small" downloads on aggregate CRAN downloads for October 2019 and July 2020.

Description

Usage

Arguments

Count number of IP addresses.

Description

Usage

Arguments

Unique package download counts by IP address.

Description

Usage

Arguments