mixOmics: image.tune.rcc – R documentation

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image.tune.rcc

Plot the cross-validation score.

Description

This function provide a image map (checkerboard plot) of the cross-validation score obtained by the tune.rcc function.

Usage

## S3 method for class 'tune.rcc'
image(x, col = heat.colors, ...)

## S3 method for class 'tune.rcc'
plot(x, col = heat.colors, ...)

Arguments

`x`	object returned by `tune.rcc`.
`col`	a character string specifying the colors function to use: `terrain.colors`, `topo.colors`, `rainbow` or similar functions. Defaults to `heat.colors`.
`...`	not used currently.

Details

plot.tune.rcc creates an image map of the matrix object$mat containing the cross-validation score obtained by the tune.rcc function. Also a color scales strip is plotted.

Value

none

Author(s)

Sébastien Déjean, Ignacio González, Kim-Anh Le Cao, Al J Abadi

Examples

data(nutrimouse)
X <- nutrimouse$lipid
Y <- nutrimouse$gene

## this can take some seconds
cv.score <- tune.rcc(X, Y, validation = "Mfold", plot = FALSE)
plot(cv.score)

# image(cv.score) # same result as plot()

mixOmics

Omics Data Integration Project

v6.14.1

GPL (>= 2)

Authors

Kim-Anh Le Cao [aut, cre], Florian Rohart [aut], Ignacio Gonzalez [aut], Sebastien Dejean [aut], Al Abadi [ctb], Benoit Gautier [ctb], Francois Bartolo [ctb], Pierre Monget [ctb], Jeff Coquery [ctb], FangZou Yao [ctb], Benoit Liquet [ctb]

Initial release

2021-04-11