installr (version 0.22.0)

lineplot_package_downloads: barplot for the number of users installation of a package

Description

This function gets a vector of package names, and returns a line plot of number of downloads for these packages per week.

Usage

lineplot_package_downloads(pkg_names, dataset, by_time = c("date",
  "week"), ...)

Arguments

pkg_names

a character vector of packages we are interested in checking.

dataset

a dataset output from running read_RStudio_CRAN_data, after going through format_RStudio_CRAN_data.

by_time

by what time frame should packages be plotted? defaults to "date", but can also be "week"

...

not in use.

Value

invisible aggregated data that was used for the plot

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)
my_RStudio_CRAN_data <- format_RStudio_CRAN_data(my_RStudio_CRAN_data)
head(my_RStudio_CRAN_data)
lineplot_package_downloads(pkg_names = c("ggplot2", "reshape", "plyr", "installr"),
                           dataset = my_RStudio_CRAN_data)

# older plots:
# 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)
# }