Hi, If you mean if the t.test is done as if the samples where paired, the answer is yes if you write argument paired = TRUE; and the pairs are done in order, that is 1º with 1º, 2º with 2º, etc.
As you wrote, (paired = FALSE) the t.test is unpaired, and the order of elements in the vectors are not taken into account. Regards Patricia > Date: Thu, 29 Jan 2009 13:59:41 +0000 > From: amitrh...@yahoo.co.uk > To: r-help@r-project.org > Subject: [R] t-test > > When doing the t-test in the below manner will r compare each element of the > array with the relevant one. I.e. if i was comparing x and y would (1 and 0) > and (1 and 9) be treated as separate variables. Or does it just assume one > variable. > > > # test data > > x <- c(1,1.1,1.15,1.2,1.21,1.23) > > y <- c(0.9,1,1.16,1.18,1.19,1.2) > > z <- c(1.4,1.42,1.43,1.44,1.45,1.46) > > > ###Â Student's t-test > > # for help in R type ?t.test() > > # defaults are: > # alternative = "two.sided" i.e. two-sided t-test > # var.equal = FALSE i.e. unequal variance > > # note: > # na.rm = TRUE removes missing values > # $p.value gives the p-value for the test > > t.test(x, y, na.rm=TRUE, paired=FALSE)$p.value > > # gives 0.5026467 > > t.test(x, z, na.rm=TRUE, paired=FALSE)$p.value > > # gives 0.0003166352 > > > > > [[alternative HTML version deleted]] > _________________________________________________________________ [[alternative HTML version deleted]]
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