Last data update: 2014.03.03

R: Extract Model Coefficients
coefR Documentation

Extract Model Coefficients

Description

coef is a generic function which extracts model coefficients from objects returned by modeling functions. coefficients is an alias for it.

Usage

coef(object, ...)
coefficients(object, ...)

Arguments

object

an object for which the extraction of model coefficients is meaningful.

...

other arguments.

Details

All object classes which are returned by model fitting functions should provide a coef method or use the default one. (Note that the method is for coef and not coefficients.)

Class "aov" has a coef method that does not report aliased coefficients (see alias).

Value

Coefficients extracted from the model object object.

For standard model fitting classes this will be a named numeric vector. For "maov" objects (produced by aov) it will be a matrix.

References

Chambers, J. M. and Hastie, T. J. (1992) Statistical Models in S. Wadsworth & Brooks/Cole.

See Also

fitted.values and residuals for related methods; glm, lm for model fitting.

Examples

x <- 1:5; coef(lm(c(1:3, 7, 6) ~ x))

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(stats)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/stats/coef.Rd_%03d_medium.png", width=480, height=480)
> ### Name: coef
> ### Title: Extract Model Coefficients
> ### Aliases: coef coefficients
> ### Keywords: regression models
> 
> ### ** Examples
> 
> x <- 1:5; coef(lm(c(1:3, 7, 6) ~ x))
(Intercept)           x 
       -0.7         1.5 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>