multi_plot: An implementation of matplot with nice coloring and automatic...
In matthewjdenny/SpeedReader: High Performance Text Analysis

An implementation of matplot with nice coloring and automatic legend generation

multi_plot(data, plot_columns = NULL, legend_location = "bottomleft",
  xlabel = "", ylabel = "", category = "", output_pdf = FALSE,
  pdf_name = NULL, height = 5, width = 8, connect_with_lines = FALSE,
  order_by_col = NULL, normalize = FALSE)

`data`	A data.frame or matrix we wish to plot.
`plot_columns`	A numeric vector of column indexes we wish to plot. Defaults to NULL in which case all columns are plotted.
`legend_location`	Defaults to "bottomleft" but can be changed to any of "left", "topleft", "top", "topright", "right", "bottomright", "bottom".
`xlabel`	The label we wish to give the X axis. Defaults to no label.
`ylabel`	The label we wish to give the Y axis. Defaults to no label.
`category`	The label we wish to give to the legend box.
`output_pdf`	Defaults to FALSE. If TRUE, then the plot is output to a pdf with pdf_name to the current working directory.
`pdf_name`	The name we wish to give out pdf. No .pdf extension is required as it is automatically appended.
`height`	The height of the optional .pdf file generated by this function. Defaults to 5 (inches).
`width`	The width of the optional .pdf file generated by this function. Defaults to 8 (inches).
`connect_with_lines`	Logical indicating whether dots should be connected with a line, defaults to FALSE.
`order_by_col`	Defaults to NULL. If not NULL, then a column index (must be in plot_columns) may be specified. The values of this column are used to sort X values in decreasing order in the resulting plot.
`normalize`	Defaults to FALSE, if TRUE, then each column will be normalized by dividing it by its maximum absolute value.