Hello,
Sorry, that should be 0.80, not 0.70.
qq <- quantile(x, probs = c(0, 0.50, 0.80, 0.95, 1))
Rui Barradas
Em 31-07-2013 12:22, Rui Barradas escreveu:
Hello,
Combine quantile() with findInterval(). Something like the following.
# sample data
x <- rnorm(100)
val <- c("Bottom 50", "20 to 50", "5 to 20", "Top 5%")
qq <- quantile(x, probs = c(0, 0.50, 0.70, 0.95, 1))
idx <- findInterval(x, qq)
val[idx]
Hope this helps,
Rui Barradas
Em 31-07-2013 10:37, Dark escreveu:
Hi all,
I think this should be an easy question for the guru's out here.
I have this large data frame (2.500.000 rows, 15 columns) and I want
to add
a column named "SEGMENT" to it.
The first 5% rows (first 125.000 rows) should have the value "Top 5%"
in the
SEGMENT column
Then the rows from 5% to 20% should have the value "5 to 20"
Then 20-50% should have the value "20 to 50"
And the last 50% of the rows should have the value "Bottom 50"
What is the easiest way of doing this? I was thinking of using
quantile but
then I should have some rownumber column.
Regards Derk
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