Assuming datums is a vector of the unique dates in Date... perhaps
datums <- sort(unique(dataset1$Date))
I usually set it up like this
for (i in 1:length(datums) ) {
crnt.date <- datums[i]
tmpdat <- subset(dataset1, Date==crnt.date)
cat(i, format(crnt.date), 'dim(tmpdat)',dim(tmpdat),'\n\n')
## use tmpdat for the multiple actions
}
The extra step of creating a subset helps one check that everything is
working as expected. It has no noticeable effect on performance with
datasets of the size I normally work with.
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 5/20/15, 3:03 AM, "Dieter Anseeuw" <dieter.anse...@inagro.be> wrote:
>Dear all,
>I would like to do multiple actions on a subset of my data. Therefore, I
>want to create a for loop on the variable "Date" (actually a double for
>loop on yet another variable, but let's omit that for a moment).
>I want to run down every level of "Date" and perform multiple actions on
>the data from a certain date. Here is my code:
>
>for (i in 1:length(datums)){
>meanweight<-mean(dataset1[dataset1$Date==datums[i],]$Weight)
>...
>
>However, this subsetting obviously doesn't work. How can I adjust my code
>so that R runs down all levels of Data in a for loop?
>(I need the for loop, not tapply(), sapply(), ...)
>
>Thanks in advance,
>Dieter Anseeuw
>
> [[alternative HTML version deleted]]
>
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and provide commented, minimal, self-contained, reproducible code.
