PlotPLS.Imp: Plot PLS important features

Description Usage Arguments See Also

Description

There are two importance measures in PLS-DA : one is variable importance in projection (VIP) and the other is weighted sum of absolute regression coefficients (coef.). The colored boxes on the right indicate the relative concentrations of the corresponding metabolite in each group under study.

Usage

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PlotPLS.Imp(dataSet, analSet, imgName = "pls_imp_", format = "png",
  dpi = 72, width = NA, type = "vip", feat.nm = 1, feat.num = 15,
  color.BW = FALSE)

Arguments

dataSet

List, data set object generated by MS_to_MA function.

analSet

List, containing the results of statistical analysis (can be just an empty list).

imgName

Image file name prefix.

format

Image format, one of: "png", "tiff", "pdf", "ps", "svg"

dpi

Image resolution.

width

Image width.

type

Importance measure. "vip" - for variable importance in projection (VIP); "coef" - for weighted sum of absolute regression coefficients.

feat.nm

The number of component used for VIP calculation.

feat.num

The number of top features to plot.

color.BW

If TRUE, gray scale is used.

See Also

PLS.Anal, PLS.Loadings, PLSDA.CV, PLSDA.Permut, PlotPLS


flajole/MApckg documentation built on May 16, 2019, 1:16 p.m.