ERSA (version 0.1.3)

reorderTerms: Re-order model terms

Description

Re-order model terms

Usage

pvalOrder(m, d = NULL, refit = TRUE)
bselOrder(m, d = NULL, refit = TRUE, maxNPred = NULL)
fselOrder(m, d = NULL, refit = TRUE, maxNPred = NULL)
revPredOrder(m, d = NULL, refit = TRUE)
randomPredOrder(m, d = NULL, refit = TRUE)
regsubsetsOrder(m, d = NULL, refit = TRUE, collapse = TRUE)

Value

a vector of terms in order last to first, or an lm if refit=TRUE. regsubsetsOrder returns a list of predictor vectors, or a list of fits

Arguments

m

an lm objecct

d

the data frame. If NULL, attempts to extract from m.

refit

TRUE or FALSE

maxNPred

maximum number of predictors to use, defaults to all.

collapse

TRUE or FALSE

Functions

• pvalOrder: Arranges model terms in order of increasing p-value

• bselOrder: Arranges model terms using backwards selection

• fselOrder: Forwards selection

• revPredOrder: Reverses order of terms in a fit

• randomPredOrder: Reorders terms in a fit randomly

• regsubsetsOrder: Best subsets regression.

Examples

bselOrder(lm(mpg~wt+hp+disp, data=mtcars))
fselOrder(lm(mpg~wt+hp+disp, data=mtcars))
revPredOrder(lm(mpg~wt+hp+disp, data=mtcars))
randomPredOrder(lm(mpg~wt+hp+disp, data=mtcars))
regsubsetsOrder(lm(mpg~wt+hp+disp, data=mtcars))