PlotStepwise: Plotting function for stepwise results
In ArdernHB/KnnDist: Kernal Nearest Neighbour classification with distance inputs

Description Usage Arguments Value Author(s)

This function plots the results of a stepwise analyses with resampling to equal sample size. The function will plot the line connecting the means of each stepwise increment increase of K and will also plot the range around the mean. The default upper and lower limit is set to the 5th and 95th percentiles.

PlotStepwise(
  StepwiseResultsMat,
  Percentiles = c(0.05, 0.95),
  PlotCol = "darkblue",
  Add = FALSE,
  Xlabel = "K"
)

`StepwiseResultsMat`	a matrix where the rows are the cross-validation percentage result for each iteration of resampling to equal sample size and the columns are the stepwise increase in k.
`Percentiles`	a vector of two values denoting the upper and lower limit of the resampling to be plotted. Values must be between 0 and 1. Default is .05 and .95.
`PlotCol`	is the colour of the line and the polygon representing the range of cross-validation percentage at the user defined percentiles.
`Add`	is a logical value to determine if the the plot should be added to a previous plot. For example if the `StepwiseResultsMat` is the weighted result and if the user would like to plot the results of an unweighted analysis on the same plot for comparison.
`Xlabel`	is the label to be used on the x axis. Default is 'K'; however, this function can be used for stepwise analysis of PCA and so the user may wish to change the x label.