March 2015
Beginner to intermediate
313 pages
10h 6m
English
book
Using R and RStudio for Data Management, Statistical Analysis, and Graphics, 2nd Edition
by Nicholas J. Horton, Ken Kleinman
Content preview from Using R and RStudio for Data Management, Statistical Analysis, and Graphics, 2nd Edition
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“K23166” — 2015/1/28 — 9:35 — page 96 — #122
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96 CHAPTER 7. REGRESSION GENERALIZATIONS AND MODELING
7.4.1 Linear models with correlated outcomes
Example: 7.10.10
library(nlme)
glsres = gls(y ~ x1 + ... + xk,
correlation=corSymm(form = ~ ordervar | id),
weights=varIdent(form = ~1 | ordervar), ds)
Note: The gls() function supports estimation of generalized least squares regression models
with arbitrary specification of the variance covariance matrix. In addition to a formula
interface for the mean model, the analyst specifies a within-group correlation structure as
well as a description of the within-group heteroscedasticity structure (using the weights ...
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