graph.pc: Principal Components graph for gsi objects

In multisensi: Multivariate Sensitivity Analysis

Description

A function that plots the Principal Components (PCs) and the sensitivity indices on each PC

Usage

graph.pc(x, nb.plot = 15, nb.comp = NULL, xmax = NULL,
         beside = TRUE, cor.plot=FALSE, xtick=TRUE, type="l", ...)

Arguments

x	gsi object.
nb.plot	number of input factors to be considered.
nb.comp	number of PCs.
xmax	a user-defined maximal x value (x≤q 1) in all the bar graphs that show sensitivity indices; or NULL if the user wants to keep default values.
beside	if TRUE, the main and total sensitivity indices are represented by two bars; if FALSE, they are represented by the same bar.
cor.plot	if TRUE a correlation graph is made to represent the PCs ; if FALSE (default) a functionnal boxplot of the PCs is plotted.
xtick	if TRUE, put column names of outputs (Y) as ticks for the x axis.
type	what type of plot should be drawn for correlation graph ("l" for lines).
...	graphical parameters.

multisensi documentation built on May 2, 2019, 2:14 p.m.