plotMV: Plot predictions

In MUVR2: Multivariate Methods with Unbiased Variable Selection

Plot predictions

Description

Plot predicted and actual target variables, with different plots depending on modelling approach.

Usage

plotMV(MUVRclassObject, model = "min", factCols, sampLabels, ylim = NULL)

Arguments

MUVRclassObject	An MUVR class object
model	What type of model to plot ('min', 'mid' or 'max'). Defaults to 'mid'.
factCols	An optional vector with colors for the factor levels (in the same order as the levels)
sampLabels	Sample labels (optional; implemented for classification)
ylim	Optional for imposing y-limits for regression and classification analysis

Value

A plot of results from multivariate predictions

Examples

data("freelive2")
nRep <- 2
nOuter <- 4
varRatio <-0.6
regrModel <- MUVR2(X = XRVIP2,
                   Y = YR2,
                   nRep = nRep,
                  nOuter = nOuter,
                   varRatio = varRatio,
                   method = "PLS",
                   modReturn = TRUE)
plotMV(regrModel, model="min")

MUVR2 documentation built on Sept. 16, 2024, 9:06 a.m.