misclass: Generates misclassified data

In wolfganglederer/simex: SIMEX- And MCSIMEX-Algorithm for Measurement Error Models

Description

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

Usage

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

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, [e-mail]

See Also

mcsimex, 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

wolfganglederer/simex documentation built on July 31, 2019, 9:08 a.m.