plot_boxplots: Plot boxplots
In jaakkomadetoja/epgwr: Error Propagation in Geographically Weighted Regression

Description Usage Arguments Author(s) References See Also

View source: R/visualization.R

This function creates boxplots for single-value metrics resulting from error propagation in geographically weighted regression. It is useful for comparing the results of different simulations from the same GWR model, for example, using different errors.

1 2	plot_boxplots(data, names, range = 1.5, plot_original = TRUE, horizontal = FALSE, print_file = TRUE, margins = c(5, 4, 4, 2) + 0.1)

`data`	output from the function `epgwr_mc`; for multiple results, use list(data1, data2, data3...) where data1 etc. are the results from the function `epgwr_mc`
`names`	a vector of names for different simulations, for example names=c("large error", "small error", "spatial autocorrelation")
`range`	this determines how far the plot whiskers extend out from the box; ff range is positive, the whiskers extend to the most extreme data point which is no more than range times the interquartile range from the box; a value of zero causes the whiskers to extend to the data extremes
`plot_original`	TRUE (default) for plotting original value to the box plot as a red line; if using multiple simulation results, this will be taken from the first result, so make sure the original GWR cases are all the same
`horizontal`	logical indicating if the boxplots should be horizontal; default FALSE means vertical boxes
`print_file`	TRUE (default) for creating .png images and saving them to disk, FALSE for just showing boxplots in R plot device one at a time
`margins`	the parameter mar which is a numerical vector of the form c(bottom, left, top, right) which gives the number of lines of margin to be specified on the four sides of the plot; the default is c(5, 4, 4, 2) + 0.1.