| nobs {stats} | R Documentation |
Extract the number of ‘observations’ from a model fit. This is
principally intended to be used in computing BIC (see AIC).
nobs(object, ...) ## Default S3 method: nobs(object, use.fallback = FALSE, ...)
object |
A fitted model object. |
use.fallback |
logical: should fallback methods be used to try to guess the value? |
... |
Further arguments to be passed to methods. |
This is a generic function, with an S4 generic in package stats4.
There are methods in this package for objects of classes
"lm", "glm", "nls" and
"logLik", as well as a default method (which throws an
error, unless use.fallback = TRUE when it looks for
weights and residuals components – use with care!).
The main usage is in determining the appropriate penalty for BIC, but
nobs is also used by the stepwise fitting methods
step, add1 and drop1 as a
quick check that different fits have been fitted to the same set of
data (and not, say, that further rows have been dropped because of NAs
in the new predictors).
For lm, glm and nls fits, observations with zero
weight are not included.
A single number, normally an integer. Could be NA.
AIC.