I have a Data Frame that contains, between other things, the following
fields: userX, Time1, Time2, Time3. The number of observations is 2000.
I have a function that has as inputs userX, Time1, Time2, Time3 and return
a data frame with 1 observation and 19 variables.
I want to apply that
Hello,
Maybe you need apply, not lapply. It seems you want to apply() a
function to the first dimension of your data.frame, something like
apply(dat, 1, fun) #apply by rows
Hope this helps,
Rui Barradas
Em 01-09-2013 15:00, Ignacio Martinez escreveu:
I have a Data Frame that contains,
Rui et.al.:
But apply will not work if the data frame has columns of different
classes/types, as appears to be the case here. Viz, from ?apply:
If X is not an array but an object of a class with a non-null
dimhttp://127.0.0.1:12824/help/library/base/help/dim
value (such as a data frame),apply
Oh, another possibility is ?mapply, which I should have pointed out in my
previous reply. Sorry.
-- Bert
On Sun, Sep 1, 2013 at 8:30 AM, Bert Gunter bgun...@gene.com wrote:
Rui et.al.:
But apply will not work if the data frame has columns of different
classes/types, as appears to be the
I hope this reproduceble example helps understand what I'm trying to do.
This is the function:
# Make Data Frame for video actions between given times for user X
DataVideoActionT - function (userX, Time1, Time2, Time3){
#Get data for user X
videoActionsX-subset(videoLectureActions,
Hello,
Your example doesn't really run, but for what I've seen, if your second
data frame is named dat2, something along the lines of
n - nrow(dat2)
res - list(vector, n)
for(i in 1:n){
res[[i]] - with(dat2, DataVideoActionT(anon_ID[i], Time1[i], TimeM[i],
TimeL[i]))
}
do.call(rbind, res)
Thanks a lot Rui. Loops make sense to me. I made one modification to your
code. I have thousands of observation, so I would like to run it in
parallel. This is my reproducible example:
# Make Data Frame for video actions between given times for user X
DataVideoActionT - function (userX, Time1,
Hello,
I have no experience with packages foreach and doMC.
But I believe that paralel computing only pays if the datasets are
really large, due to the setup time. Maybe thousands of observations
is not that large.
Rui Barradas
Em 01-09-2013 22:21, Ignacio Martinez escreveu:
Thanks a lot
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