ResamplePlot: A function to plot the results of resampling methods

In OasisR: Outright Tool for the Analysis of Spatial Inequalities and Segregation

A function to plot the results of resampling methods

Description

Plot of Monte Carlo simulations results. The function can be used in two ways: buy providing a ResampleTest object, using ResampleTest or a simulated distribution vector, a value and a name of the index

Usage

ResamplePlot(ResampleTest, var = 1, coldist = 'red', colind = 'blue', 
legend = TRUE, legendpos = 'top', cex.legend = 1, bty = 'o')

Arguments

ResampleTest	- a ResampleTest object prodused with ResampleTest function
var	the number of the variable to be plot
coldist	color used to plot the simulated distribution
colind	color used to plot the index
legend	logical parameter, to control the legend's plots
legendpos	a character string giving the legend's position: 'bottomright', 'bottom', 'bottomleft', 'left', 'topleft', 'top', 'topright', 'right' and 'center'.
cex.legend	a numerical value giving the amount by which plotting text and symbols in legend should be magnified relative to the default.
bty	a character string which determines the type of box of the legend. If bty is one of 'o' (the default), 'l', '7', 'c', 'u', or ']' the resulting box resembles the corresponding upper case letter. A value of 'n' suppresses the box.

Value

A plot with resampling theoretical distribution

References

Tivadar M. (2019) OasisR: An R Package to Bring Some Order to the World of Segregation Measurement. Journal of Statistical Software, 89 (7), pp 1-39

See Also

ResampleTest

Examples

x <- segdata@data[ ,1:2]

xtest <- ResampleTest (x, fun ='ISMorrill', simtype = 'MonteCarlo', 
                       sampleunit = 'unit', spatobj = segdata)
                       
ResamplePlot(xtest, var = 1)

OasisR documentation built on April 3, 2025, 5:58 p.m.