Learn R Programming

SASmixed (version 0.1-7)

Weights: Data from a weight-lifting program

Description

The Weights data frame has 399 rows and 5 columns.

Arguments

source

Littel, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger, R. D. (1996), SAS System for Mixed Models, SAS Institute (Data Set 3.2(a)).

Examples

Run this code
options(
  contrasts = c(unordered = "contr.SAS", ordered = "contr.poly"))
data(Weights)
fm1Weight <- lme( strength ~ Program * Time,
                  data = Weights, random = ~ 1 | Subj)
summary( fm1Weight )               # compare with output 3.1, p. 91
VarCorr( fm1Weight )
anova( fm1Weight )
fm2Weight <- update( fm1Weight, random = ~ Time | Subj )
anova( fm1Weight, fm2Weight )
summary( fm2Weight )
VarCorr( fm2Weight )
intervals( fm2Weight )
fm3Weight <- update( fm2Weight, correlation = corAR1())
anova( fm2Weight, fm3Weight )
fm4Weight <- update( fm3Weight, strength ~ Program * (Time + I(Time^2)),
                    random = ~Time|Subj)
summary( fm4Weight )
VarCorr( fm4Weight )
anova( fm4Weight )
intervals( fm4Weight )

Run the code above in your browser using DataLab