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Use a Dataset as a hypothetical test?

Posted 1 month ago
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Consider the following code:

A0 = {23.6, 64, 17.3, 36.9, 68.8, 107.6, 55.4, 22.1, 65.1, 47.9, 79, 
38.9, 48.9, 52.6, 19.6, 43.7, 10.1, 24, 10.5, 26.8, 20, 70, 17.5, 
25.9, 14.8, 20.9, 40, 16.9, 44.5, 59, 49.2, 41, 74.7, 23.5};
B0 = {12.9, 58, 0.1, 7.2, 46.9, 66.7, 7.6, 23.7, 53.2, 36.6, 67.8, 
35.4, 41.4, 21, 2.4, 3.1, 4.4, 7, 8.4, 8.8, 15, 22.1, 23.5, 32, 
10.9, 11.7, 32.4, 14.1, 8.1, 71.5, 29.5, 13.4, 51.5, 17.7};
rawdata = 
Dataset@Table[
AssociationThread[{"Baseline", "Followup"} -> {A0[[i]], 
B0[[i]]}], {i, 1, 34}];
A = rawdata[All, "Baseline"];
B = rawdata[All, "Followup"];
TTest[{A, B}]

I get a message: TTest::rctndm1: The argument {Dataset [<<34>>],Dataset [<<34>>]} at position 1 should be a rectangular array of real numbers with length greater than the dimension of the array or two such arrays of equal dimensionality.

How should this problem be handled?

I was making a mistake and didn't convert the Dataset to Normal format.

A0 = {23.6, 64, 17.3, 36.9, 68.8, 107.6, 55.4, 22.1, 65.1, 47.9, 79, 
   38.9, 48.9, 52.6, 19.6, 43.7, 10.1, 24, 10.5, 26.8, 20, 70, 17.5, 
   25.9, 14.8, 20.9, 40, 16.9, 44.5, 59, 49.2, 41, 74.7, 23.5};
B0 = {12.9, 58, 0.1, 7.2, 46.9, 66.7, 7.6, 23.7, 53.2, 36.6, 67.8, 
   35.4, 41.4, 21, 2.4, 3.1, 4.4, 7, 8.4, 8.8, 15, 22.1, 23.5, 32, 
   10.9, 11.7, 32.4, 14.1, 8.1, 71.5, 29.5, 13.4, 51.5, 17.7};
rawdata = 
  Dataset@Table[
    AssociationThread[{"Baseline", "Followup"} -> {A0[[i]], 
       B0[[i]]}], {i, 1, 34}];
A = rawdata[All, "Baseline"] // Normal;
B = rawdata[All, "Followup"] // Normal;
TTest[{A, B}, 0, {"TestDataTable", "TestConclusion"}, 
 VerifyTestAssumptions -> "EqualVariance"]

it is great !

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