barplot_package_users_per_day.Rd

% Generated by roxygen2 (4.0.0): do not edit by hand
\name{barplot_package_users_per_day}
\alias{barplot_package_users_per_day}
\title{barplot for the number of users installation of a package}
\usage{
barplot_package_users_per_day(pkg_name, dataset, remove_dups = TRUE, ...)
}
\arguments{
  \item{pkg_name}{a string of the package we are interested
  in checking.}

  \item{dataset}{a dataset output from running
  \link{read_RStudio_CRAN_data}.}

  \item{remove_dups}{default is TRUE. Should the duplicate
  user ids (based on their ips) be removed.  If TRUE, then
  the plot is the number of unique users who have
  downloaded our package everyday.}

  \item{...}{not in use.}
}
\value{
Returns the total number of downloads of the package for
that time period.
}
\description{
This function is a first template for creating a barplot of
the number of downloads a package had in a time period.
This function is based on some other functions, have a look
at the example for more details.
}
\details{
RStudio maintains its own CRAN mirror,
\url{http://cran.rstudio.com} and offers its log files.
}
\examples{
\dontrun{
# 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)
}
}
\seealso{
\link{download_RStudio_CRAN_data},
\link{read_RStudio_CRAN_data},\link{barplot_package_users_per_day}
}