plotStability: Plot stability

In MUVR2: Multivariate Methods with Unbiased Variable Selection

Plot stability

Description

Plot stability of selected variables and prediction fitness as a function of number of repetitions.

Usage

plotStability(MUVRrdCVclassObject, model = "min", VAll, nVarLim, missLim)

Arguments

MUVRrdCVclassObject	MUVR class object or rdCV object
model	'min' (default), 'mid' or 'max'
VAll	Option of specifying which variables (i.e. names) to consider as reference set. Defaults to variables selected from the 'model' of the 'MUVRrdCVclassObject'
nVarLim	Option of specifying upper limit for number of variables
missLim	Option of specifying upper limit for number of misclassifications

Value

Plot of number of variables, proportion of variables overlapping with reference and prediction accuracy (Q2 for regression; MISS otherwise) as a function of number of repetitions.

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)
plotStability(regrModel, model = "min")

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