misclass {simex}R Documentation

Generates misclassified data

Description

Takes a data.frame and produces misclassified data. Probabilities for the missclassification are given in the mc.matrix.

Usage

misclass(data.org, mc.matrix, k)

Arguments

data.org data.frame containing the factor variables. Must be factors
mc.matrix a list of matrices giving the probabilities for the misclassification. Names of the list must correspond to the variable names in data.org. The colnames must be named according to the factor levels
k the exponent for the misclassification matrix

Value

A data.frame containing the misclassified variables

Author(s)

Wolfgang Lederer, wolfgang.lederer@googlemail.com

See Also

mcsimex, build.mc.matrix, diag.block

Examples

x1 <- factor(rbinom(100, 1, 0.5))
x2 <- factor(rbinom(100, 2, 0.5))

p1 <- matrix(c(1, 0, 0, 1), nrow = 2)
p2 <- matrix(c(0.8, 0.1, 0.1, 0.1, 0.8, 0.1, 0.1, 0.1, 0.8), nrow = 3)

colnames(p1) <- levels(x1)
colnames(p2) <- levels(x2)

x <- data.frame(x1 = x1, x2 = x2)
mc.matrix <- list(x1 = p1, x2 = p2)

x.mc <- misclass(data.org = x, mc.matrix = mc.matrix, k = 1)

identical(x[, 1], x.mc[, 1]) # TRUE
identical(x[, 2], x.mc[, 2]) # FALSE

[Package simex version 1.4 Index]