compareGrowthCurves(group,y,levels=NULL,nsim=100,fun=meanT,times=NULL,verbose=TRUE,adjust="holm")
compareTwoGrowthCurves(group,y,nsim=100,fun=meanT)
plotGrowthCurves(group,y,levels=sort(unique(group)),times=NULL,col=NULL,...)
compareGrowthCurves
but not in compareTwoGrowthCurves
.group
. Missing values are allowed.p.adjust
.plot()
compareTwoGrowthCurves
returns a list with two components, stat
and p.value
, containing the observed statistics and the estimated p-value. compareGrowthCurves
returns a data frame with componentscompareTwoGrowthCurves
performs a permutation test of the difference between two groups of growth curves.
compareGrowthCurves
does all pairwise comparisons between two or more groups of growth curves.
Accurate p-values can be obtained by setting nsim
to some large value, nsim=10000
say.compareGrowthCurves
, compareTwoGrowthCurves
# A example with only one time
data(PlantGrowth)
compareGrowthCurves(PlantGrowth$group,as.matrix(PlantGrowth$weight))
# Can make p-values more accurate by nsim=10000
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