calculating quintile values of numeric data?
Also quantile() and cut(). The only tricky part is making sure the minimum and maximum values are included.
set.seed(42) x <- rnorm(100, 25, 3) bks <- quantile(x, prob=c(0, .2, .4, .6, .8, 1)) y <- cut(x, breaks=bks, labels=1:5, include.lowest=TRUE) table(y)
y 1 2 3 4 5 20 20 20 20 20
z <- findInterval(x, bks, all.inside=TRUE) table(z)
z 1 2 3 4 5 20 20 20 20 20 ---------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77843-4352 -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of Jeff Newmiller Sent: Wednesday, January 23, 2019 1:00 AM To: r-help at r-project.org; Kelly Thompson <kt1572757 at gmail.com> Subject: Re: [R] calculating quintile values of numeric data? ?range ?findInterval
On January 22, 2019 6:54:14 PM PST, Kelly Thompson <kt1572757 at gmail.com> wrote:
I?d like to take numeric data, and calculate numeric ?quintiles? with integer values in from 1 ? 5 , with values in the lowest 20% of values having a value of 1, the >20 - <= 40% of values having a value of 2, the >40% - <=60% of values having a value of 3, etc. How can I use quantcut, or another function, to do this? Thanks! Ex. x <- c(1:10) I want: myquintilefunction (x, q=5, na.rm=T) to return a vector with values: 1,1,2,2,3,3,4,4,5,5 Thanks!
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Sent from my phone. Please excuse my brevity. ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.