df.resid {pda} | R Documentation |
residual degrees of freedom
Description
Usage
df.resid(object, ...)
## Default S3 method:
df.resid(object, ...)
## S3 method for class 'lm':
df.resid(object, resid=residuals(object), ...)
## S3 method for class 'lme':
df.resid(object, resid = residuals( object ), factors, ...)
## S3 method for class 'lmer':
df.resid(object, ...)
Arguments
object |
vector, list of vectors, or object from linear model
fit |
resid |
Residuals of object |
factors |
Character string of factors for object |
... |
more vectors |
Value
If a single vector is given, return its degrees of freedom
corrected for the mean, length(object)-1. If a list of vectors is
given (explicitly or implicitly), sum up df for each. If object is a
linear model fit, extract its df.resid
element or make
appropriate guess based on model degrees of freedom if df.resid
is missing. The lmer
method attempts to find total random
effects degrees of freedom.
Examples
## Not run:
df.resid(x)df.resid(lm(y~a+b,data))
## End(Not run)
[Package
pda version 1.2-7
Index]