EnvResamplePlot {SegEnvIneq}R Documentation

A function to test environmental inequality indices by resampling

Description

Plot of resampling simulations results.

Usage

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

Arguments

ResampleTest

a ResampleTest object produced 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: 'o' (by default), 'l', '7', 'c', 'u', or ']'

Value

A plot with resampling theoretical distribution corresponding upper case letter. A value of 'n' suppresses the box.

References

Schaeffer Y. and Tivadar M. (2019) Measuring Environmental Inequalities: Insights from the Residential Segregation Literature. Ecological Economics, 164, 106329

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

EDfunc, ECfunc, EnvResampleTest

Examples

data(segdata, package = "OasisR")
# segdata - theoretical distributions on a 10x10 grid map
# We consider A1 - population distribution and A2 - amenity distribution
testoutput <- EnvResampleTest (x = segdata@data$A1, a = segdata@data$A2, spatobj = segdata,
fun = "EDfunc", vers = "contig", queen = FALSE)
EnvResamplePlot(testoutput)

[Package SegEnvIneq version 1.2 Index]