[R] paired t-test. Need to rearrange data?
Prof Brian Ripley
ripley at stats.ox.ac.uk
Sun Aug 6 17:24:52 CEST 2006
On Sun, 6 Aug 2006, Henrik Parn wrote:
> Dear all,
>
> I have received some data arranged like this:
>
> # original data
> id <- rep(letters[1:6], each=2)
> time <- as.factor(rep(1:2, 6))
> y <- as.vector(replicate(6, c(rnorm(n=1, mean=1), rnorm(n=1, mean=2))))
> test.data <- data.frame(id, time, y)
> test.data
>
> I would like to perform a paired t-test of the y-values at time=1
> against those at time=2, with samples paired by their id. Is it
> necessary to arrange the data in a format like this:
>
> # rearranged data
> id <- letters[1:6]
> y1 <- replicate(6, rnorm(n=1, mean=1)) # y-value at time = 1
Really, rnorm(6, 1) suffices here.
> y2 <- replicate(6, rnorm(n=1, mean=2)) # y-value at time = 2
> test.data2 <- data.frame(id, y1, y2)
> test.data2
>
> ...in order to perform a paired t-test?
> t.test(y1, y2, paired=T)
>
> If yes, which is the most convenient way to rearrange the data?
> Or is it possible to apply the paired t-test function to the original
> data set?
t.test(y ~ time, test.data, paired=TRUE)
> And a side question: In my examples, I suppose can I use set.seed to
> reproduce the 'rnorm-values' created in the 'original data' also in my
> the 'rearranged data'. Can someone give me a hint of how to apply the
> same 'seed' to all the rnorms?
Using the same seed will give identical values from rnorm, surely not what
you want. You need to generate the rnorms in the same order, that is all.
matrix(rnorm(12) + c(1,2), 6, 2, byrow=TRUE) will do the trick.
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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