Dennis & Hadley,
This does exactly what I need — thank you so much!
Regards,
Tom
On 10/4/11 5:34 PM, Dennis Murphy wrote:
Hi Hadley:
When I tried your function on the example data, I got the following:
dd<- data.frame(year = rep(2000:2008, each = 500), y = rnorm(4500))
g<- function(df, qs = c(.05, .25, .50, .75, .95)) {
data.frame(q = qs, quantile(d$y, qs))
}
ddply(dd, .(year), g)
ddply(dd, .(year), g)
year q quantile.d.y..qs.
1 2000 0.05 NA
2 2000 0.25 NA
3 2000 0.50 NA
...
43 2008 0.50 NA
44 2008 0.75 NA
45 2008 0.95 NA
Warning messages:
1: In is.na(x) : is.na() applied to non-(list or vector) of type 'NULL'
2: In is.na(x) : is.na() applied to non-(list or vector) of type 'NULL'
<repeated once per year>
This, however, does work (with a likely fix to the variable name afterwards):
g<- function(df, qs = c(.05, .25, .50, .75, .95)) {
data.frame(q = qs, quantile(d[, 2], qs))
}
ddply(dd, .(year), g)
year q quantile.d...2...qs.
1 2000 0.05 -1.36670724
2 2000 0.25 -0.97786897
3 2000 0.50 -0.05982217
4 2000 0.75 0.33576399
5 2000 0.95 1.30389105
...
Dennis
On Tue, Oct 4, 2011 at 12:10 PM, Hadley Wickham<had...@rice.edu> wrote:
# Function to compute quantiles and return a data frame
g<- function(d) {
qq<- as.data.frame(as.list(quantile(d$y, c(.05, .25, .50, .75, .95))))
names(qq)<- paste('Q', c(5, 25, 50, 75, 95), sep = '')
qq }
You could cut out the melt step by making this return a data frame:
g<- function(df, qs = c(.05, .25, .50, .75, .95)) {
data.frame(q = qs, quantile(d$y, qs))
}
Hadley
--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
--
Thomas E Adams
National Weather Service
Ohio River Forecast Center
1901 South State Route 134
Wilmington, OH 45177
EMAIL: thomas.ad...@noaa.gov
VOICE: 937-383-0528
FAX: 937-383-0033
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