[R] Function to assign quantiles?
Marc Schwartz
marc_schwartz at comcast.net
Fri Feb 16 00:15:07 CET 2007
On Thu, 2007-02-15 at 17:50 -0500, Talbot Katz wrote:
> Hi.
>
> If I call the quantiles function as follows:
>
> qvec = quantiles(dvals,probs=seq(0,1,0.1))
>
> the results will return a vector something like the following example:
>
> 0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
> 100%
> 56.0 137.3 238.4 317.9 495.8 568.5 807.4 1207.7 1713.0
> 2951.1 8703.0
>
> Now I want to assign the deciles, 1 - 10, to each observation, so, in the
> above example, if dvals[322] = 256, I want to assign qvals[322] = 3, and if
> dvals[7216] = 1083, I want qvals[7216] = 7, etc. I would think there would
> be a function, or some very quick code to do that, but I couldn't find it.
>
> Here's what I have now. It works, but I figure there must be a better way:
>
> asdc <- function(q){max(1,which(qvec<q))}
> qvals = apply(matrix(dvals,nrow=1),2,asdc)
>
>
> Any suggestions? Thanks!
Take a look at ?cut and use the output of quantile() to define the
'breaks' argument:
x <- rnorm(100)
> cut(x, breaks = quantile(x, probs = seq(0, 1, 0.1)),
include.lowest = TRUE, labels = 1:10)
[1] 2 1 9 10 9 3 1 7 5 2 4 1 10 8 4 10 9 9 5 3 5 8
[23] 6 9 7 1 10 1 10 9 3 3 9 3 5 5 6 4 8 10 6 2 2 8
[45] 6 3 6 9 1 4 7 10 8 7 5 3 1 10 2 1 7 8 8 2 8 8
[67] 3 10 4 6 5 1 4 6 4 4 5 9 9 7 2 8 2 5 1 3 7 6
[89] 4 6 4 6 2 7 2 10 7 3 5 7
Levels: 1 2 3 4 5 6 7 8 9 10
HTH,
Marc Schwartz
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