installr (version 0.17.8)

read_RStudio_CRAN_data: Reads RStudio CRAN mirror data files from a folder

Description

This function reads files downloaded from the downlaod page (http://cran-logs.rstudio.com/).

This function relies on data.table to run faster. WARNING: this function can be quite slow...

Usage

read_RStudio_CRAN_data(log_folder = tempdir(), use_data_table = TRUE, packages, ...)

Arguments

log_folder

the folder which contains the RStudio CRAN log files that were downloaded to. Default is the temporary folder picked by tempdir.

use_data_table

default is TRUE. A switch for wether or not to use the data.table package in order to merge the log files using rbindlist. This function is MUCH faster then the alternative.

packages

a character vector containing the names of packages for which information is extracted. If not specified, all packages are included, but this can cause out-of-memory problems if there are many log files.

...

not in use.

Value

Returns the combined data file.

Source

http://www.nicebread.de/finally-tracking-cran-packages-downloads/

Details

RStudio maintains its own CRAN mirror, https://cran.rstudio.com/ and offers its log files.

See Also

download_RStudio_CRAN_data, read_RStudio_CRAN_data,barplot_package_users_per_day

Examples

## Not run: 
# # The first two functions might take a good deal of time to run (depending on the date range)
# RStudio_CRAN_data_folder <- 
#       download_RStudio_CRAN_data(START = '2013-04-02',
#                                  END = '2013-04-05') 
#                                  # around the time R 3.0.0 was released
# my_RStudio_CRAN_data <- read_RStudio_CRAN_data(RStudio_CRAN_data_folder)
# 
# # barplots: (more functions can easily be added in the future)
# barplot_package_users_per_day("installr", my_RStudio_CRAN_data)
# barplot_package_users_per_day("plyr", my_RStudio_CRAN_data)
# ## End(Not run)