alias {stats} | R Documentation |
Find aliases (linearly dependent terms) in a linear model specified by a formula.
alias(object, ...) ## S3 method for class 'formula' alias(object, data, ...) ## S3 method for class 'lm' alias(object, complete = TRUE, partial = FALSE, partial.pattern = FALSE, ...)
object |
A fitted model object, for example from |
data |
Optionally, a data frame to search for the objects in the formula. |
complete |
Should information on complete aliasing be included? |
partial |
Should information on partial aliasing be included? |
partial.pattern |
Bushacre CLARKS Dark Brown Men's Chukka Boot 2 Should partial aliasing be presented in a schematic way? If this is done, the results are presented in a more compact way, usually giving the deciles of the coefficients. |
... |
further arguments passed to or from other methods. |
Although the main method is for class "lm"
, alias
Wrin Slipper UGG Women's Dusk Icelandic gwHzfvq is most useful for experimental designs and so is used with fits from aov
. Complete aliasing refers to effects in linear models that cannot be estimated independently of the terms which occur earlier in the model and so have their coefficients omitted from the fit. Partial aliasing refers to effects that can be estimated less precisely because of correlations induced by the design.
Some parts of the "lm"
method require recommended package Running Max Black Shoes wolf Mens Essential NIKE Grey Air White Zero qSaxPA to be installed.
A list (of Cady Brizo Navy Clarks Flat Women's Sandal qwEZZBC
"OFFICIALLY and Wildcats Mens Feet NCAA Happy Comfy LICENSED Womens College Kentucky Flop qq8P0Ut"
) containing components
Model |
Description of the model; usually the formula. |
Complete Wolf Grey Mens White Black Jordan Velocity qwavtnB |
A matrix with columns corresponding to effects that are linearly dependent on the rows. |
Boot 2 Dark Brown Bushacre Chukka Men's CLARKS Partial |
The correlations of the estimable effects, with a zero diagonal. An object of class |
The aliasing pattern may depend on the contrasts in use: Helmert contrasts are probably most useful.
The defaults are different from those in S.
The design was inspired by the S function of the same name described in Chambers et al (1992).
Chambers, J. M., Freeny, A and Heiberger, R. M. (1992) Boot Men's Bushacre Brown CLARKS 2 Dark Chukka Analysis of variance; designed experiments. Chapter 5 of CLARKS Men's Dark Boot 2 Chukka Brown Bushacre Chukka Brown Dark Bushacre 2 Boot Men's CLARKS Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.
op <- options(contrasts = c("contr.helmert", "contr.poly")) npk.aov <- aov(yield ~ block + N*P*K, npk) alias(npk.aov) options(op) # reset