Calculating group means
Hi,
You could either try:
#dat1 ##dataset
aggregate(latency~.,data=dat1,mean)
#or
?library(data.table)
?dt1 <- data.table(dat1,key=c('subject','conditionNo','state'))
?dt1[,mean(latency),by=c('subject','conditionNo','state')]
A.K.
On Monday, December 23, 2013 2:20 PM, Laura Bethan Thomas [lbt1] <lbt1 at aber.ac.uk> wrote:
Hi All,
Sorry for what I imagine is quite a basic question. I have been trying to do is create latency averages for each state (1-8) for each participant (n=13) in each condition (1-10). I'm not sure what function I would need, or what the most efficient ay of calculating this would be. If you have any help with that I would be very grateful.
structure(list(subject = c(1L, 1L, 1L, 1L, 1L, 1L), conditionNo = c(1L,
1L, 1L, 1L, 1L, 1L), state = c(5L, 8L, 7L, 8L, 1L, 7L), latency = c(869L,
864L, 1004L, 801L, 611L, 679L)), .Names = c("subject", "conditionNo",
"state", "latency"), row.names = 3:8, class = "data.frame")
Thanks again,
Laura
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.