[R] Two sample t.test, order of comparions
Douglas Bates
bates at stat.wisc.edu
Wed Apr 18 15:19:10 CEST 2007
On 4/18/07, Helmut Schütz <helmut.schuetz at bebac.at> wrote:
> Dear group members,
>
> I want to compare response variables ("logAUC") of two groups (treatment
> "Test", "Reference") of a subset ("period == 1") in dataframe "resp"
> (below):
>
> sequence subject period treatment AUC logAUC
> 1 RT 1 1 Reference 44.1 3.786460
> 2 RT 1 2 Test 39.1 3.666122
> 3 RT 2 1 Reference 33.6 3.514526
> 4 RT 2 2 Test 23.8 3.169686
> 5 RT 3 1 Reference 45.5 3.817712
> 6 RT 3 2 Test 40.8 3.708682
> 7 TR 4 1 Test 19.5 2.970414
> 8 TR 4 2 Reference 21.1 3.049273
> 9 TR 5 1 Test 67.2 4.207673
> 10 TR 5 2 Reference 51.5 3.941582
> 11 TR 6 1 Test 25.7 3.246491
> 12 TR 6 2 Reference 30.1 3.404525
> 13 RT 7 1 Reference 35.3 3.563883
> 14 RT 7 2 Test 26.7 3.284664
> 15 RT 8 1 Reference 26.0 3.258097
> 16 RT 8 2 Test 36.5 3.597312
> 17 RT 9 1 Reference 38.2 3.642836
> 18 RT 9 2 Test 57.8 4.056989
> 19 TR 10 1 Test 33.6 3.514526
> 20 TR 10 2 Reference 32.5 3.481240
> 21 TR 11 1 Test 25.1 3.222868
> 22 TR 11 2 Reference 36.8 3.605498
> 23 TR 12 1 Test 44.1 3.786460
> 24 TR 12 2 Reference 42.9 3.758872
> 25 RT 13 1 Reference 25.6 3.242592
> 26 RT 13 2 Test 20.1 3.000720
> 27 RT 14 1 Reference 58.0 4.060443
> 28 RT 14 2 Test 45.3 3.813307
> 29 RT 15 1 Reference 47.2 3.854394
> 30 RT 15 2 Test 51.8 3.947390
> 31 TR 16 1 Test 16.5 2.803360
> 32 TR 16 2 Reference 21.4 3.063391
> 33 TR 17 1 Test 47.3 3.856510
> 34 TR 17 2 Reference 39.4 3.673766
> 35 TR 18 1 Test 22.6 3.117950
> 36 TR 18 2 Reference 17.3 2.850707
> 37 RT 19 1 Reference 17.5 2.862201
> 38 RT 19 2 Test 30.1 3.404525
> 39 RT 20 1 Reference 51.7 3.945458
> 40 RT 20 2 Test 36.0 3.583519
> 41 RT 21 1 Reference 24.5 3.198673
> 42 RT 21 2 Test 18.2 2.901422
> 43 TR 22 1 Test 36.3 3.591818
> 44 TR 22 2 Reference 27.2 3.303217
> 45 TR 23 1 Test 29.4 3.380995
> 46 TR 23 2 Reference 39.6 3.678829
> 47 TR 24 1 Test 18.3 2.906901
> 48 TR 24 2 Reference 20.7 3.030134
>
> The formula method of t.test
>
> > result <- t.test(logAUC ~ treatment, data = resp, subset = (period ==
> 1), var.equal = FALSE, conf.level = 0.90)
> > result
>
> gives
>
> Welch Two Sample t-test
>
> data: logAUC by treatment
> t = 1.1123, df = 21.431, p-value = 0.2783
> alternative hypothesis: true difference in means is not equal to 0
> 90 percent confidence interval:
> -0.0973465 0.4542311
> sample estimates:
> mean in group Reference mean in group Test
> 3.562273 3.383831
>
> Now I'm interested rather in the confidence interval of "Test" -
> "Reference" rather than "Reference" - "Test" which is given by t.test
You could change the order of the levels of the treatment factor. See
?relevel
>
> Do you know a more elegant way than the clumsy one I have tried?
>
> > as.numeric(exp(result$estimate[2]-result$estimate[1]))
> > as.numeric(exp(-result$conf.int[2]))
> > as.numeric(exp(-result$conf.int[1]))
>
> Best regards,
> Helmut
>
> --
> Ing. Helmut Schütz
> BEBAC - Consultancy Services for
> Bioequivalence and Bioavailability Studies
> Neubaugasse 36/11
> 1070 Vienna, Austria
> tel/fax +43 1 2311746
> e-mail helmut.schuetz at bebac.at
> web http://bebac.at
> forum http://forum.bebac.at
>
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