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Data Science Wolfram Language

Use a Dataset as a hypothetical test?

Tsai Ming-Chou

Tsai Ming-Chou, National Defense Medical Center

Posted 5 years ago

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?

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?

POSTED BY: Tsai Ming-Chou

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Tsai Ming-Chou

Tsai Ming-Chou, National Defense Medical Center

Posted 5 years ago

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 !

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 !

POSTED BY: Tsai Ming-Chou

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