Update and Re-fit a Model Call
Usage
update(object, ...)
update.default(object, formula, ..., evaluate = TRUE)
Arguments
object
|
An existing fit from a model function such as lm ,
glm and many others.
|
formula
|
Changes to the formula see update.formula for
details.
|
...
|
Additional arguments to the call, or arguments with
changed values. Use name=NULL to remove the argument name .
|
evaluate
|
If true evaluate the new call else return the call.
|
Description
update
will update and (by default) re-fit a model. It does this
by extracting the call stored in the object, updating the call and (by
default) evaluating that call. Sometimes it is useful to call
update
with only one argument, for example if the data frame has
been corrected.Value
If evaluate = TRUE
the fitted object, otherwise the updated call.Author(s)
B.D. RipleySee Also
update.formula
Examples
oldcon <- options(contrasts = c("contr.treatment", "contr.poly"))
## Annette Dobson (1990) "An Introduction to Statistical Modelling".
## 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)
lm.D9
summary(lm.D90 <- update(lm.D9, . ~ . - 1))
options(contrasts = c("contr.helmert", "contr.poly"))
update(lm.D9)
options(oldcon)