Summarize lm.beta-object
S3-method summary for object lm.beta.
## S3 method for class 'lm.beta' summary(object, standardized = TRUE, ...)
object |
object of class |
standardized |
logical. Should the standardized values be integrated? |
... |
additional arguments to pass to |
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.
Adapted summary.lm-object, in case of standardized=TRUE with additional class summary.lm.beta.
Stefan Behrendt, r@behrendt-stefan.de
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.
## 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.