featureMatrix: featureMatrix

In penaltyLearning: Penalty Learning

featureMatrix

Description

Compute a feature matrix (segmentation problems x features).

Usage

featureMatrix(data.sequences, 
    problem.vars, data.var)

Arguments

data.sequences	data.frame of sorted sequences of data to segment.
problem.vars	character vector of columns of data.sequences to treat as segmentation problem IDs.
data.var	character vector of length 1 (column of data.sequences to treat as data to segment).

Value

Numeric feature matrix. Some entries may be missing or infinite; these columns should be removed before model training.

Author(s)

Toby Dylan Hocking

Examples

test.df <- data.frame(
  id=rep(1:2, each=10),
  x=rnorm(20))
penaltyLearning::featureMatrix(test.df, "id", "x")
if(requireNamespace("neuroblastoma")){
  data(neuroblastoma, package="neuroblastoma", envir=environment())
  one <- subset(neuroblastoma$profiles, profile.id %in% c(1,2))
  f.mat <- penaltyLearning::featureMatrix(
    one, c("profile.id", "chromosome"), "logratio")
}

penaltyLearning documentation built on Sept. 8, 2023, 5:47 p.m.