Creates a time series graph showing the distribution of documents by date

Creates a time series graph showing the distribution of documents by date.

ShowDistribution(dataset, specificWebsites = NULL, rollingAverage = 31,
  align = "center", customTitle = NULL, method = "numberOfArticles",
  export = FALSE, project = NULL, website = NULL)

Arguments

dataset	A dataset created with 'castarter'.
specificWebsites	Character vector indicating which websites (defined by relative website) have to be included in graph. If left to default, includes all websites present in the dataset.
rollingAverage	Integer, defaults to 31. Number of days used to calculate word frequency as shown in the time series. Time series shows word frequency for each date as an average of the N number of days (N=rollingAverage) following the correspondent date.
align	Defaults to "center", can be either "left", "right" or "center" and refers to the way the rolling average is calculated.
method	Accepted values: "numberOfArticles" (default, creates time series based on number of publications per day); "numberOfCharacters" (creates time series based on number of charachters per day, currently does not work in conjunction with specificWebsites option).
export	Logical, defaults to FALSE. If TRUE, saves the graph in both png and pdf format. If project and website are provided, in saves the timeseries in the correspondent "Outputs" subfolder.
project	Name of 'castarter' project. Must correspond to the name of a folder in the current working directory.
website	Name of a website included in a 'castarter' project. Must correspond to the name of a sub-folder of the project folder.
startDate,	endDate Character vector with date in the format year-month-date, e.g. "2015-07-14".

Value

A ggplot2 time series showing number of articles published each day.

Examples

# NOT RUN {
ShowDistribution(dataset)
# }