plotVIRank: Plot variable importance ranking

In MUVR2: Multivariate Methods with Unbiased Variable Selection

Plot variable importance ranking

Description

Plot variable importance ranking in MUVR object. Regardless of MV core method, variables are sorted by rank, where lower is better. 'plotVIRank' produces boxplots of variable rankings for all model repetitions.

Usage

plotVIRank(
  MUVRclassObject,
  n,
  model = "min",
  cut,
  maptype = c("heatmap", "dotplot"),
  add_blank = 4,
  cextext = 1
)

Arguments

MUVRclassObject	An MUVR class object only applied to PLS, RF not rdCVnet
n	Number of top ranking variables to plot (defaults to those selected by MUVR2)
model	Which model to choose ('min', 'mid' (default) or 'max')
cut	Optional value to cut length of variable names to 'cut' number of characters
maptype	for rdCvnet dot plot or heat map
add_blank	put more blank when the rownames is too long,
cextext	the cex of the text

Value

Barplot of variable rankings (lower is better)

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)
plotVIRank(regrModel, n=20)

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