indVotes: Individual Error of the outer cross-validations

In MCRestimate: Misclassification error estimation with cross-validation

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:[e-mail]

See Also

MCRestimate

Examples

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)

MCRestimate documentation built on Oct. 31, 2019, 10:29 a.m.