Probably something like this:
> x <- as.data.frame(matrix(rnorm(27 * 5), 27, 5))
> sapply(x, quantile, seq(0, 1, .1))
V1 V2 V3 V4 V5
0% -3.18125816 -2.3857797 -1.0564583 -2.5085757 -2.142863890
10% -1.63832807 -1.3854193 -0.7863538 -2.0054480 -1.308758065
20% -0.55663305 -0.9820594 -0.5997770 -0.8506803 -0.855000253
30% -0.24216894 -0.6497351 -0.4301487 -0.5292818 -0.685654756
40% -0.18417030 -0.3367184 -0.3249491 -0.2804804 -0.552243583
50% -0.01245975 -0.1686330 -0.2490444 -0.1474143 -0.374655382
60% 0.10358080 0.1360502 0.1102148 0.2109845 -0.006060502
70% 0.52499224 0.3635301 0.3328593 0.4300751 0.186768725
80% 1.27043728 0.6718734 0.6026165 0.9356643 0.643105330
90% 1.77792321 1.3059572 0.8323459 1.3301074 1.398859959
100% 2.38227909 2.5356611 2.0936289 1.9094287 2.181349090
HTH,
Andy
From: Dan Chan>
> Hi,
>
> I have a dataframe(FireDanger) that contains weather data (T, RH, WS,
> etc) measured at 27 stations. I want to do a quantile summary
> for each variable at each station.
>
> quantile(FireDanger$RH, probs=seq(0,1,0.1), na.rm=T)
> summary(FireDanger) are close, but not quite.
>
> Is there a single command to get this done?
>
> Thank you.
>
> Daniel Chan
> Meteorologist
> Georgia Forestry Commission
> P O Box 819
> Macon, GA
> 31202
> Tel: 478-751-3508
> Fax: 478-751-3465
>
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