Removing row with duplicated values in all columns of a data frame (R)

Question

With the following data frame:

d <- structure(list(n = c(2, 3, 5), s = c(2, 8, 3),t = c(2, 18, 30)), .Names = c(\"n\", \"s\",\"t\"), row.names = c(NA, -3L         


        

Answer 1

Here's one possible approach, which compares all columns to the first

d[rowSums(d == d[,1]) != ncol(d),]
#   n s  t
# 2 3 8 18
# 3 5 3 30