pse (version 0.3.4)

plotecdf: Uncertainty and sensitivity plots

Description

Plots the empirical cumulative density function or the partial rank correlation coefficient from an LHS object.

Usage

plotecdf(LHS, stack = FALSE, index.res, col, xlab = NULL, ...)
plotprcc(LHS, index.res, col, ylab = NULL, ...)

Arguments

LHS

The LHS object containing the simulation results to be plotted.

stack

If the results is a data.frame with several variables, stack=FALSE generates a series of plots, and stack=TRUE generates a single plot with the ECDF from all variables identified by different colors.

index.res

An optional vector indicating which columns from the results are to be plotted.

col

An optional vector indicating the colors to be used.

xlab, ylab

Label for the x axis (ecdf) or y axis(prcc). Uses the name provided in the res.names argument from the LHS function if left blank.

...

Additional parameters to be passed to the lower level plotting function.

Examples

myLHS <- LHS(model=function(x) x[,1]+x[,2]*x[,3], factors=3, N=20, res.names="My Output")
plotecdf(myLHS, main="ECDF plot")
plotprcc(myLHS, main="PRCC plot")