lm.beta (version 1.7-2)

summary.lm.beta: Summarize Standardized Linear-Model-Object

Description

S3-method summary for object lm.beta.

Usage

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

Value

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

Arguments

object

An R object of class lm.beta

standardized

Logical. Should the standardized values be integrated?

...

Additional arguments to pass to summary.lm

Author

Stefan Behrendt,

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.beta for creating the lm.beta-object.

Examples

## 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)