packageRank: Package download counts and rank percentiles (prototype).

In lindbrook/packageRank: Computation and Visualization of Package Download Counts and Percentiles

Package download counts and rank percentiles (prototype).

Description

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

Usage

packageRank(packages = "HistData", date = NULL, all.filters = FALSE,
  ip.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.
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.

Examples

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

## End(Not run)

lindbrook/packageRank documentation built on April 25, 2024, 11:35 a.m.