Nothing
plotGR <- function(object,...){
#TODO: *Add CI around point estimates
# require(lattice) # MJM20141101: lattice is imported
itms <- object$itms
tps <- object$mpoints
pplgrps <- object$ngroups/itms
if(pplgrps<2) stop("There are no treatment effects in this analysis.")
#treatment effects for all treatment groups at tps>1
treat <- object$etapar[1:((pplgrps-1)*itms*(tps-1))]
time <- factor(rep(paste("t",2:tps,sep=""),each=itms*(pplgrps-1)))
item <- factor(rep(rep(paste("Item",1:itms),each=pplgrps-1),tps-1))
names1 <- unique(names(object$groupvec))[1:(length(unique(names(object$groupvec))))-1]
#labeling
group <- factor(rep(names1,itms*(tps-1)))
plotdats1 <- data.frame(treat,group,item,time)
#effects (i.e. zeros) for all treatment groups at tp=1
treat0 <- rep(0,itms*(pplgrps-1))
time0 <- factor(rep("t1",each=itms*(pplgrps-1)))
item0 <- factor(rep(paste("Item",1:itms),each=(pplgrps-1)))
#labeling
group0 <- factor(rep(names1,itms))
plotdats0 <- data.frame(treat0,group0,item0,time0)
names(plotdats0) <- c("treat","group","item","time")
#effects (i.e. zeros) for control or baseline group for all tps
treat00 <- rep(0,itms*tps)
time00 <- factor(rep(paste("t",1:tps,sep=""),each=itms))
item00 <- factor(rep(paste("Item",1:itms),tps))
group00 <- factor(rep(unique(names(object$groupvec))[length(unique(names(object$groupvec)))],itms*tps))
plotdats00 <- data.frame(treat00,group00,item00,time00)
names(plotdats00) <- c("treat","group","item","time")
#all together
plotdats <- rbind(plotdats00,plotdats0,plotdats1)
#plot
key.group <- list(space = "right", text = list(levels(plotdats$group)),
points = list(pch = 1:length(levels(plotdats$group)),
col = "black")
)
plotout <- xyplot(treat ~ time | item, plotdats,
aspect = "xy", type = "o",
groups = group, key = key.group,
lty = 1, pch = 1:length(levels(plotdats$group)),
col.line = "darkgrey", col.symbol = "black",
xlab = "Time",
ylab = "Effect",
main = "Treatment effect plot for LLRA"
)
print(plotout)
}
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