Using if else on a dataframe across multiple columns

Question

I have a large dataset of samples with descriptors of whether the sample is viable - it looks (kind of) like this, where \'desc\' is the description column and \'blank\' ind

Answer 1

Using your first initial approach with loops I figured out this:

    for(i in 1:nrow(dat)){
  if(dat[i, 1] =="blank"){
    dat[i, 2:4] <- NA
  } 
  else {
    dat[i,length(dat)] <- dat[i, length(dat)]
  }
}

I tested it with your data and worked. Hope this is useful for everyone dealing with loops in rows and columns with conditions.