statList: Calculate statistics for levels of factors

In heplots: Visualizing Hypothesis Tests in Multivariate Linear Models

Calculate statistics for levels of factors

Description

statList provides a general method for calculating univariate or multivariate statistics for a matrix or data.frame stratified by one or more factors.

Usage

statList(X, factors, FUN, drop = FALSE, ...)

Arguments

X	A matrix or data frame containing the variables to be summarized
factors	A vector, matrix or data frame containing the factors for which X is to be summarized. If factors is not specified, the result is calculated for all of the data in X.
FUN	A function to be applied to the pieces of X, as split by factors.
drop	Logical, indicating whether empty levels of factors are to be dropped from the result.
...	Other arguments, passed to FUN.

Details

statList is the general function. X is first split by factors, and FUN is applied to the result.

colMeansList and covList are just calls to statList with the appropriate FUN.

Value

Returns a list of items corresponding to the unique elements in factors, or the interaction of factors. Each item is the result of applying FUN to that collection of rows of X. The items are named according to the levels in factors.

Author(s)

Michael Friendly

See Also

colMeans, termMeans

Examples

# grand means
statList(iris[,1:4], FUN=colMeans)
# species means
statList(iris[,1:4], iris$Species, FUN=colMeans)
# same
colMeansList(iris[,1:4], iris$Species)

# var-cov matrices, by species
covList(iris[,1:4], iris$Species)

# multiple factors
iris$Dummy <- sample(c("Hi","Lo"),150, replace=TRUE)
colMeansList(iris[,1:4], iris[,5:6])

heplots documentation built on May 29, 2024, 9:24 a.m.