Visualizing token distribution per person

plot_tokens(
  data,
  names = "all",
  starttime = "1960-01-01 00:00",
  endtime = "2200-01-01 00:00",
  plot = "bar",
  return_data = FALSE,
  exclude_sm = FALSE
)

Arguments

data: A 'WhatsApp' chatlog that was parsed with parse_chat.
names: A vector of author names that the plots will be restricted to.
starttime: Datetime that is used as the minimum boundary for exclusion. Is parsed with as.POSIXct. Standard format is "yyyy-mm-dd hh:mm". Is interpreted as UTC to be compatible with 'WhatsApp' timestamps.
endtime: Datetime that is used as the maximum boundary for exclusion. Is parsed with as.POSIXct. Standard format is "yyyy-mm-dd hh:mm". Is interpreted as UTC to be compatible with 'WhatsApp' timestamps.
plot: The type of plot to be used. Options include "bar","box","violin" and "cumsum". Default is "bar". NA values will be removed before plotting. For "violin", Senders with less than 2 messages are removed.
return_data: If TRUE, returns the subsetted data frame. Default is FALSE.
exclude_sm: If TRUE, excludes the 'WhatsApp' System Messages from the descriptive statistics. Default is FALSE.

Value

Plots showcasing the distribution of tokens per person

Examples

data <- readRDS(system.file("ParsedWhatsAppChat.rds", package = "WhatsR"))
plot_tokens(data)