Keywords: data
### ** Examples # on vectors x = c(4, 1, 4, NA, 1, NA, 4) # NAs are considered identical (unlike base R) # default is average frankv(x) # na.last=TRUE
[1] 4.0 1.5 4.0 6.5 1.5 6.5 4.0
frankv(x, na.last=FALSE)
[1] 6.0 3.5 6.0 1.5 3.5 1.5 6.0
# ties.method = min frankv(x, ties.method="min")
[1] 3 1 3 6 1 6 3
# ties.method = dense frankv(x, ties.method="dense")
[1] 2 1 2 3 1 3 2
# on data.table DT = data.table(x, y=c(1, 1, 1, 0, NA, 0, 2)) frankv(DT, cols="x") # same as frankv(x) from before
[1] 4.0 1.5 4.0 6.5 1.5 6.5 4.0
frankv(DT, cols="x", na.last="keep")
[1] 4.0 1.5 4.0 NA 1.5 NA 4.0
frankv(DT, cols="x", ties.method="dense", na.last=NA)
[1] 2 1 2 1 2
frank(DT, x, ties.method="dense", na.last=NA) # equivalent of above using frank
[1] 2 1 2 1 2
# on both columns frankv(DT, ties.method="first", na.last="keep")
[1] 2 1 3 NA NA NA 4
frank(DT, ties.method="first", na.last="keep") # equivalent of above using frank
[1] 2 1 3 NA NA NA 4
# order argument frank(DT, x, -y, ties.method="first")
[1] 4 1 5 6 2 7 3
# equivalent of above using frankv frankv(DT, order=c(1L, -1L), ties.method="first")
[1] 4 1 5 6 2 7 3