input <- list(
"tar_length" = 28,
"tar_alignment" = 16,
"knn_n" = 3,
"ind_pick1" = 1
)
rv <- list(
"mm_dataset" = mm_data,
"assign_id" = "ID",
"assign_x" = "CYCLEDAY",
"assign_y" = "E1G",
"assign_aln" = "MIDPOINT"
)
aln_11 <- mm_ArrayData(IDs = rv$mm_dataset %>%
pull(!!sym(eval(rv$assign_id))),
DAYS = rv$mm_dataset %>%
pull(!!sym(eval(rv$assign_x))),
VALUE = rv$mm_dataset %>%
pull(!!sym(eval(rv$assign_y))),
MID = rv$mm_dataset %>%
pull(!!sym(eval(rv$assign_aln))),
targetLENGTH = input$tar_length,
targetMID = input$tar_alignment,
transformation = "minmax",
impute_missing = input$knn_n
)
rv_diagnostics <- mm_Diagnostics(aln_11$Shape_data)
new_groups <- dendextend::cutree(rv_diagnostics$TREE, k = 3)
brush_ind <- list(
"grps" = new_groups
)
debugonce(print_summary)
test <- print_summary(aln_11, grps = brush_ind$grps)
lapply(test, function(x){
if(!is.null(x)){
cat(x)
}
})
test[[1]]
names(test) <- c("a", "b", "c")
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