simex (version 1.8)

misclass: Generates misclassified data

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

See Also

mcsimex, mc.matrix, diag.block

Examples

# NOT RUN {
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


# }