Hello,
You should provide us with a data example, like the posting guide asks
you to.
Without one, you could adapt the following example to your case
# Make up some data
dat <- data.frame(X = rnorm(200), Y = rnorm(200))
# Divide into subsets of 60 rows each and compute the col means
grp <- rep(1:(1 + nrow(dat) / 60), each = 60)[seq_len(nrow(dat))]
do.call(rbind, lapply(split(dat, grp), colMeans))
Hope this helps,
Rui Barradas
Em 10-04-2013 18:46, Ye Lin escreveu:
Hey All,
I have a large dataset and I want to calculate the average of each column
then return a new dataset.
Here is my question: I dont know if there is a function that can allow me
to calculate the average every 60 records of data in the whole dataset, and
return a new data frame. Not sure if I have to divide the dataset first for
every 60, then do the mean or can i directly do that.
thanks for your help!
cici
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
