I was using the stat_to_pvalue and DCMS functions of MINOTAUR and an error came up that hadn’t existed previously when I ran the program back in august. If I try to use a dataframe with more than one column I get this error repeatedly:
dfp_left<-stat_to_pvalue(dfv, column.nums = 1:ncol(dfv), subset = 1:nrow(dfv),
two.tailed = rep(FALSE, length(column.nums)), right.tailed = rep(FALSE,
length(column.nums)))
Error in if (class(try(df.vars[subset, ], silent = TRUE)) == "try-error") stop("subset must contain valid indexes for choosing rows in dfv") :
the condition has length > 1
it works fine when I run only one column but I need to use multiple columns in DCMS, appreciate the help.
I was using the stat_to_pvalue and DCMS functions of MINOTAUR and an error came up that hadn’t existed previously when I ran the program back in august. If I try to use a dataframe with more than one column I get this error repeatedly:
dfp_left<-stat_to_pvalue(dfv, column.nums = 1:ncol(dfv), subset = 1:nrow(dfv),
two.tailed = rep(FALSE, length(column.nums)), right.tailed = rep(FALSE,
length(column.nums)))
Error in if (class(try(df.vars[subset, ], silent = TRUE)) == "try-error") stop("subset must contain valid indexes for choosing rows in dfv") :
the condition has length > 1
it works fine when I run only one column but I need to use multiple columns in DCMS, appreciate the help.