interact.part: Compute a chosen set of pairwise interactions between two...

In ePCR: Ensemble Penalized Cox Regression for Survival Prediction

Description

Similar to interact.all-function, but here user provides two sets of variables, and each pairwise combination between these two sets is multiplied. These pairwise interactions are then returned as a new data matrix, with a colon indicating which variables were multiplied.

Usage

interact.part(input, first, second)

Arguments

input	The input data matrix, of either class matrix or data.frame
first	The first set of columns to combine with each of the members of the second set, as either integers or column names
second	The second set of columns to combine with each of the members of the first set, as either integers or column names

Value

A data matrix with multiplied columns as indicated using the sets 'first' and 'second'

Examples

set.seed(1)
somedata <- data.frame(a = rnorm(10), b = rnorm(10), c = runif(10), d = runif(10))
somedata
someinteract <- interact.part(somedata, first = c("a", "b"), second = c("c", "d"))
someinteract

ePCR documentation built on Dec. 1, 2019, 1:21 a.m.