pcc: Returns probabilities of correct classification for both...

In multid: Multivariate Difference Between Two Groups

Returns probabilities of correct classification for both groups in independent data partition.

Description

Returns probabilities of correct classification for both groups in independent data partition.

Usage

pcc(data, pred.var, group.var, group.values)

Arguments

data	Data frame including predicted values (e.g., pred.dat from D_regularized_out).
pred.var	Character string. Variable name for predicted values.
group.var	The name of the group variable.
group.values	Vector of length 2, group values (e.g. c("male", "female) or c(0,1)).

Value

Vector of length 2. Probabilities of correct classification.

Examples

D_out <- D_regularized(
  data = iris[iris$Species == "versicolor" | iris$Species == "virginica", ],
  mv.vars = c("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width"),
  group.var = "Species", group.values = c("versicolor", "virginica"),
  out = TRUE,
  size = 15
)

pcc(
  data = D_out$pred.dat,
  pred.var = "pred",
  group.var = "group",
  group.values = c("versicolor", "virginica")
)

multid documentation built on June 22, 2024, 11:33 a.m.