factorDesign {selectiveInference} | R Documentation |
Expand a data frame with factors to form a design matrix with the full binary encoding of each factor.
Description
When using groupfs
with factor variables call this function first to create a design matrix.
Usage
factorDesign(df)
Arguments
df |
Data frame containing some columns which are |
Value
List containing
- x
Design matrix, the first columns contain any numeric variables from the original date frame.
- index
Group membership indicator for expanded matrix.
Examples
## Not run:
fd = factorDesign(warpbreaks)
y = rnorm(nrow(fd$x))
fit = groupfs(fd$x, y, fd$index, maxsteps=2, intercept=F)
pvals = groupfsInf(fit)
## End(Not run)
[Package selectiveInference version 1.2.5 Index]