filtering with multiple conditions on many columns using dplyr

Question

I\'ve searched on SO trying to find a solution to no avail. So here it is. I have a data frame with many columns, some of which are numerical and should be non-negative. I w

Answer 1

This will give you a vector of your rows that are less than 0:

desired_rows <- sapply(target_columns, function(x) which(df[,x]<0), simplify=TRUE)
desired_rows <- as.vector(unique(unlist(desired_rows)))

Then to get a df of your desired rows:

setdiff(df, df[desired_rows,])
  id  sth1 tg1_num sth2 tg2_num others
1  1  dave       2   ca      35    new
2  4 leroy       0   az      25    old
3  5 jerry       4   mi      55    old