slope_table = function(x, multcomp="slope", ...){
dotargs <- list(...)
ct <- lapply(1:length(x), function(j){
effect <- x[[j]]
info <- effect$uncorrected$test_info
unique_cluster <- unique(effect[[multcomp]]$main[,3])
unique_cluster <- unique_cluster[unique_cluster!=0]
if(length(unique_cluster)==0){
tab = data.frame()
attr(tab,"nocluster") = T
}else{
tab <- t(sapply(unique_cluster,function(i){
cl_select <- effect[[multcomp]]$main[,3] == i
timepoint <- c(1:length(cl_select))[cl_select]
c(timepoint[1],timepoint[length(timepoint)],
effect[[multcomp]]$main[timepoint[1],1],
effect[[multcomp]]$main[timepoint[1],2])
}))
tab <- data.frame(tab)
colnames(tab) <- c("start","end", "cluster mass", "P(>mass)")
rownames(tab) <- unique_cluster
attr(tab,"nocluster") <- F
}
attr(tab,"threshold") <- effect[[multcomp]]$threshold
attr(tab,"fun_name") <- info$fun_name
attr(tab,"effect_name") <- names(x)[j]
attr(tab,"multcomp") <- paste0(multcomp,", slope_FUN = ", info$slope_FUN_name, ", param = ", info$slope_FUN_par)
attr(tab,"nDV") <- info$nDV
attr(tab,"method") <- info$method
attr(tab,"test") <- info$test
attr(tab,"alternative") <- info$alternative
attr(tab,"type") = info$type
attr(tab,"df") <- info$df
attr(tab,"np") <- info$np
##
attr(tab,"slope_FUN_name") <- info$slope_FUN_name
attr(tab,"slope_FUN_par") <- info$slope_FUN_par
##
attr(tab,"table_type") <- "cluster"
class(tab) <- append("multcomp_table", class(tab))
tab
})
class(ct) <- append("listof_multcomp_table", class(ct))
names(ct) <- names(x)
ct
}
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