reorderTerms {ERSA} | R Documentation |
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)
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 |
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
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))
[Package ERSA version 0.1.4 Index]