Hi,

I have been running successfully Westfall procedures to adjust p-values in multiple comparisons.
However, the last model I tried consumes too much memory (>40 Gb).
Is there a way to reduce memory requirements? Or a workaround to run multiple comparison tests with Westfall procedures?

Mind that I don't fully understand what's going on on the Westfall procedure implemented. So sorry in advance if this is a stupid question. Here is the script I am running:

require("nlme")
require("multcomp")

dt_wide <- data.frame(
    Subj=1:44,
    Status=factor(rep(c("D","S","B","D","S","B"), c(7,7,6,8,8,8))),
    Treatment=factor(rep(c("St","Un"), c(20,24))),
    day1=rnorm(44,4,0.5),
    day2=rnorm(44,4,0.5),
    day3=rnorm(44,4,0.5))
dt_wide[,4:6] <- apply(dt_wide[,4:6], 2, function(x) {x[sample(1:44, sample(0:3))] <- NA;x}) dt_long <- reshape(dt_wide, idvar="Subj", times=names(dt_wide)[4:6], timevar="Time",
    varying=list(names(dt_wide)[4:6]), v.names="Values", direction="long")
dt_long$Int <- with(dt_long, interaction(Status, Time, Treatment))
fm <- lme(Values ~ Int, data=dt_long, random= ~1 |Subj, na.action="na.omit")
K<-rbind("1; St: D-S "=c(0,-1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "1; St: B-D "=c(0,-1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "1; St: B-S "=c(0, 0,-1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "1; Un: S-D "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 1, 0, 0, 0, 0, 0, 0), "1; Un: B-D "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 0, 1, 0, 0, 0, 0, 0), "1; Un: B-S "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 1, 0, 0, 0, 0, 0), "2; St: S-D "=c(0, 0, 0, 0,-1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "2; St: B-D "=c(0, 0, 0, 0,-1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "2; St: B-S "=c(0, 0, 0, 0, 0,-1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "2; Un: S-D "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 1, 0, 0, 0), "2; Un: B-D "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 0, 1, 0, 0), "2; Un: B-S "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 1, 0, 0), "3; St: S-D "=c(0, 0, 0, 0, 0, 0, 0,-1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0), "3; St: B-D "=c(0, 0, 0, 0, 0, 0, 0,-1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0), "3; St: B-S "=c(0, 0, 0, 0, 0, 0, 0, 0,-1, 1, 0, 0, 0, 0, 0, 0, 0, 0), "3; Un: S-D "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 1), "3; Un: B-D "=c(0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-2,-1), "3; Un: B-S "=c(0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-2), "D; 1: Un-St"=c(0,-1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0), "S; 1: Un-St"=c(0, 0,-1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0), "B; 1: Un-St"=c(0, 0, 0,-1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0), "D; 2: Un-St"=c(0, 0, 0, 0,-1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0), "S; 2: Un-St"=c(0, 0, 0, 0, 0,-1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0), "B; 2: Un-St"=c(0, 0, 0, 0, 0, 0,-1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0), "D; 3: Un-St"=c(0, 0, 0, 0, 0, 0, 0,-1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0), "S; 3: Un-St"=c(0, 0, 0, 0, 0, 0, 0, 0,-1, 0, 0, 0, 0, 0, 0, 0, 0, 1), "B; 3: Un-St"=c(0,-1,-1,-1,-1,-1,-1,-1,-1,-2,-1,-1,-1,-1,-1,-1,-1,-1), "D; St: 2-1 "=c(0,-1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "D; Un: 2-1 "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 0, 0, 1, 0, 0, 0, 0), "S; St: 2-1 "=c(0, 0,-1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "S; Un: 2-1 "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 0, 0, 1, 0, 0, 0), "B; St: 2-1 "=c(0, 0, 0,-1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "B; Un: 2-1 "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 0, 0, 1, 0, 0), "D; St: 3-2 "=c(0, 0, 0, 0,-1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), "D; Un: 3-2 "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 0, 0, 1, 0), "S; St: 3-2 "=c(0, 0, 0, 0, 0,-1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0), "S; Un: 3-2 "=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,-1, 0, 0, 1), "B; St: 3-2 "=c(0, 0, 0, 0, 0, 0,-1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0), "B; Un: 3-2 "=c(0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-2,-1,-1))
colnames(K) <- names(fixef(fm))
mc <- glht(fm, linfct=K)
summary(mc,test=adjusted(type="Westfall"))

Thanks,
Joao

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