| fitted.lme {nlme} | R Documentation |
The fitted values at level i are obtained by adding together the population fitted values (based only on the fixed effects estimates) and the estimated contributions of the random effects to the fitted values at grouping levels less or equal to i. The resulting values estimate the best linear unbiased predictions (BLUPs) at level i.
## S3 method for class 'lme' fitted(object, level, asList, ...)
object |
an object inheriting from class |
level |
an optional integer vector giving the level(s) of grouping
to be used in extracting the fitted values from |
asList |
an optional logical value. If |
... |
some methods for this generic require additional arguments. None are used in this method. |
If a single level of grouping is specified in level, the
returned value is either a list with the fitted values split by groups
(asList = TRUE) or a vector with the fitted values
(asList = FALSE); else, when multiple grouping levels are
specified in level, the returned object is a data frame with
columns given by the fitted values at different levels and the
grouping factors. For a vector or data frame result the
napredict method is applied.
José Pinheiro and Douglas Bates bates@stat.wisc.edu
Bates, D.M. and Pinheiro, J.C. (1998) "Computational methods for multilevel models" available in PostScript or PDF formats at http://nlme.stat.wisc.edu/pub/NLME/
Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S and S-PLUS", Springer, esp. pp. 235, 397.
fm1 <- lme(distance ~ age + Sex, data = Orthodont, random = ~ 1) fitted(fm1, level = 0:1)