search for: fm1weight

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2002 Oct 09
3
proc mixed vs. lme
...me WI 6 0 . . . . program*time WI 7 0 . . . . #The R code: library(nlme) library(SASmixed) options( contrasts = c(unordered = "contr.SAS", ordered = contr.poly")) data(Weights) fm1Weight <- lme( strength ~ Program * Time, data = Weights, random = ~ 1 | Subj) summary( fm1Weight ) VarCorr( fm1Weight ) #The R results: > summary( fm1Weight ) Linear mixed-effects model fit by REML Data: Weights AIC BIC logLik 1455.363 1487.153 -719.6815 Ran...