exportFct_convertBoolean_1DTPP <- function(dat){
# Boolean columns: Convert TRUE/FALSE to "Yes"/"No" values
# to do: combine this function with 'exportFct_convertBoolean_2DTPP'
boolPrefix <- c("passed_filter",
"protein_identified_in",
"sufficient_data_for_fit",
"model_converged",
"min_pVals_less_0.1_and_max_pVals_less_0.2",
"meltP_diffs_have_same_sign",
"meltP_diffs_T_vs_V_greater_V1_vs_V2",
"minSlopes_less_than_0.06",
"fulfills_all_4_requirements",
"meets_FC_requirement",
"pEC50_outside_conc_range")
for (bp in boolPrefix){
boolCols <- grep(bp, colnames(dat), value = TRUE)
for (bc in boolCols){
x <- dat[,bc]
xNew <- rep(NA_character_, length(x))
xNew[which(x==TRUE)] <- "Yes"
xNew[which(x==FALSE)] <- "No"
xNew[which(is.na(x))] <- ""
dat[,bc] <- xNew
}
}
return(dat)
}
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