MCRindError {MCRestimate}R Documentation

Individual Error of the outer cross-validations

Description

MCRindError returns a vector with the individual number of incorrect classified samples for each cross-validation plotIndGroupVotes plots the individual group votes

Usage

MCRindError(MCRe,
                                                perGroup=FALSE)
                                                
plotIndGroupVotes(MCRest,
                                                                        PvD= 0.5,
                                                                        dotCol="red",
                                                                        errCol="black",
                                                                        xlab="",
                                                                        ylab="# misclassified samples (mean + SD)",
                                                                        ...)

Arguments

MCRe Object of S3 class MCRestimate
perGroup returns a vector with the individual number of incorrect classified samples for each group
MCRest Object of S3 class MCRestimate
PvD Offset of the text that belongs to a specific point in the plot
dotCol Color of the dots
errCol Line color between points
xlab Label of X-Axis
ylab Label of Y-Axis
... Advanced options to the plot command

Value

MCRindError returns a vector of individual errors.

Author(s)

Markus Ruschhaupt mailto:m.ruschhaupt@dkfz.de

See Also

MCRestimate

Examples

library(MCRestimate)
library(golubEsets)
data(Golub_Train)
exSet <- Golub_Train[1:500,]
result1 <-MCRestimate(exSet,"ALL.AML",classification.fun="RF.wrap",cross.outer=3,cross.repeat=3)
MCRindError(result1)
[Package MCRestimate version 2.2.0 Index]