# ResamplePlot: A function to plot the results of resampling methods In OasisR: Outright Tool for the Analysis of Spatial Inequalities and Segregation

## 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

 ```1 2``` ```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 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

`ResampleTest`
 ```1 2 3 4 5 6``` ```x <- segdata@data[ ,1:2] xtest <- ResampleTest (x, fun ='ISMorrill', simtype = 'MonteCarlo', sampleunit = 'unit', spatobj = segdata) ResamplePlot(xtest, var = 1) ```