lm.beta (version 1.5-1)

summary.lm.beta: Summarize lm.beta-object

Description

S3-method summary for object lm.beta.

Usage

# S3 method for lm.beta
summary(object, standardized = TRUE, ...)

Arguments

object

object of class lm.beta

standardized

logical. Should the standardized values be integrated?

…

additional arguments to pass to summary.lm

Value

Adapted summary.lm-object, in case of standardized=TRUE with additional class summary.lm.beta.

Details

If standardized=FALSE, the standard summary.lm-method is called, else (the standard value) the standardized regression coefficients are added into the coefficient table.

The additional arguments are passed to summary.lm.

See Also

lm for creating the lm-object, summary.lm for basic summary-function, lm.beta for creating the demanded object and print.lm.beta, coef.lm.beta for other overwritten S3-methods.

Examples

# NOT RUN {
## Taken from lm help
##
## Annette Dobson (1990) "An Introduction to Generalized Linear Models".
## Page 9: Plant Weight Data.
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)
lm.D9 <- lm(weight ~ group)

# standardize
lm.D9.beta <- lm.beta(lm.D9)
summary(lm.D9.beta)
summary(lm.D9.beta,standardized=FALSE)
# }