Hello, and thanks for your answer,
I have melted the data already and can reshape it with cast alright, but I
still can find no way to provide a list of aggregate functions per column,
nor multiple aggregate functions for some of them (i.e. mean AND stdev)
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I have a data frame and I would like to reshape it to wide format while at
the same time applying different aggregate functions to each column AND at
times multiple aggregate functions:
test1 = data.frame(
id = c(rep('101',8),rep('102',8)),
phase = rep(c('D','D','L','L'),4),
http://r.789695.n4.nabble.com/file/n3063697/sample.xlsx sample.xlsx
So, here are some sample data.
1st column is a label for "12 hour long" days
2nd one a time stamp
The rest are the actual measured values for 4 different groups.
What would be the best model for such periodic data?
Thanks,
An
Hi all,
A beginner's question: I have to analyse univariate, strongly periodic data
collected every hour for a period of 1 week and I need to compare 5
different groups for significant differences between them.
Is there a better way to do this in R, other than pairwise t-tests of
summary statist
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