Mercurial > repos > devteam > t_test_two_samples
comparison t_test_two_samples.xml @ 0:e6a85a9297b3 draft
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| author | devteam |
|---|---|
| date | Wed, 25 Sep 2013 11:31:42 -0400 |
| parents | |
| children | c2ffc9885b5a |
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| -1:000000000000 | 0:e6a85a9297b3 |
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| 1 <tool id="t_test_two_samples" name="T Test for Two Samples" version="1.0.0"> | |
| 2 <description></description> | |
| 3 <requirements> | |
| 4 <requirement type="package" version="2.11.0">R</requirement> | |
| 5 </requirements> | |
| 6 | |
| 7 <command interpreter="perl"> | |
| 8 t_test_two_samples.pl $inputFile1 $inputFile2 $inputTestSidedness3 $inputStandardDeviationEquality4 $outputFile1 | |
| 9 </command> | |
| 10 | |
| 11 <inputs> | |
| 12 <param format="tabular" name="inputFile1" type="data" label="Select the first sample tabular file"/> | |
| 13 <param format="tabular" name="inputFile2" type="data" label="Select the second sample tabular file"/> | |
| 14 | |
| 15 <param name="inputTestSidedness3" type="select" label="Choose the test sidedness:"> | |
| 16 <option value="two-sided">Two-sided</option> | |
| 17 <option value="one-sided:_m1_less_than_m2">One-sided: m1 less than m2</option> | |
| 18 <option value="one-sided:_m1_greater_than_m2">One-sided: m1 greater than m2</option> | |
| 19 </param> | |
| 20 | |
| 21 <param name="inputStandardDeviationEquality4" type="select" label="Choose the standard deviation equality status of the two populations:"> | |
| 22 <option value="equal">Equal</option> | |
| 23 <option value="unequal">Unequal</option> | |
| 24 </param> | |
| 25 </inputs> | |
| 26 | |
| 27 <outputs> | |
| 28 <data format="text" name="outputFile1"/> | |
| 29 </outputs> | |
| 30 | |
| 31 <tests> | |
| 32 <test> | |
| 33 <param name="inputFile1" value="sample1.tabular" ftype="tabular" /> | |
| 34 <param name="inputFile2" value="sample2.tabular" ftype="tabular" /> | |
| 35 <param name="inputTestSidedness3" value="Two-sided" /> | |
| 36 <param name="inputStandardDeviationEquality4" value="Equal" /> | |
| 37 <output name="outputFile1" file="t_test_result1.text" /> | |
| 38 </test> | |
| 39 | |
| 40 <test> | |
| 41 <param name="inputFile1" value="sample1.tabular" ftype="tabular" /> | |
| 42 <param name="inputFile2" value="sample2.tabular" ftype="tabular" /> | |
| 43 <param name="inputTestSidedness3" value="Two-sided" /> | |
| 44 <param name="inputStandardDeviationEquality4" value="Unequal" /> | |
| 45 <output name="outputFile1" file="t_test_result2.text" /> | |
| 46 </test> | |
| 47 | |
| 48 <test> | |
| 49 <param name="inputFile1" value="sample1.tabular" ftype="tabular" /> | |
| 50 <param name="inputFile2" value="sample2.tabular" ftype="tabular" /> | |
| 51 <param name="inputTestSidedness3" value="One-sided: m1 less than m2" /> | |
| 52 <param name="inputStandardDeviationEquality4" value="Equal" /> | |
| 53 <output name="outputFile1" file="t_test_result3.text" /> | |
| 54 </test> | |
| 55 | |
| 56 <test> | |
| 57 <param name="inputFile1" value="sample1.tabular" ftype="tabular" /> | |
| 58 <param name="inputFile2" value="sample2.tabular" ftype="tabular" /> | |
| 59 <param name="inputTestSidedness3" value="One-sided: m1 less than m2" /> | |
| 60 <param name="inputStandardDeviationEquality4" value="Unequal" /> | |
| 61 <output name="outputFile1" file="t_test_result4.text" /> | |
| 62 </test> | |
| 63 | |
| 64 <test> | |
| 65 <param name="inputFile1" value="sample1.tabular" ftype="tabular" /> | |
| 66 <param name="inputFile2" value="sample2.tabular" ftype="tabular"/> | |
| 67 <param name="inputTestSidedness3" value="One-sided: m1 greater than m2" /> | |
| 68 <param name="inputStandardDeviationEquality4" value="Equal" /> | |
| 69 <output name="outputFile1" file="t_test_result5.text" /> | |
| 70 </test> | |
| 71 | |
| 72 <test> | |
| 73 <param name="inputFile1" value="sample1.tabular" ftype="tabular" /> | |
| 74 <param name="inputFile2" value="sample2.tabular" ftype="tabular" /> | |
| 75 <param name="inputTestSidedness3" value="One-sided: m1 greater than m2" /> | |
| 76 <param name="inputStandardDeviationEquality4" value="Unequal" /> | |
| 77 <output name="outputFile1" file="t_test_result6.text" /> | |
| 78 </test> | |
| 79 </tests> | |
| 80 | |
| 81 | |
| 82 <help> | |
| 83 | |
| 84 .. class:: infomark | |
| 85 | |
| 86 **What it does** | |
| 87 | |
| 88 This program implements the non-pooled t-test for two samples where the alternative hypothesis is two-sided or one-sided. The program takes four inputs: | |
| 89 | |
| 90 - The first input file is a TABULAR format file representing the first sample and consisting of one column only. | |
| 91 - The second input file is a TABULAR format file representing the first sample and consisting of one column only. | |
| 92 - The third input is the sidedness of the t-test: either two-sided or, one-sided with m1 less than m2 or, one-sided with m1 greater than m2. | |
| 93 - The fourth input is the equality status of the standard deviations of both populations. | |
| 94 - The output file is a TXT file representing the result of the two-sample t-test. | |
| 95 | |
| 96 | |
| 97 **Example** | |
| 98 | |
| 99 Let us have the first input file representing the first sample as follows:: | |
| 100 | |
| 101 5 | |
| 102 4 | |
| 103 8 | |
| 104 6 | |
| 105 7 | |
| 106 2 | |
| 107 1 | |
| 108 1 | |
| 109 0 | |
| 110 6 | |
| 111 4 | |
| 112 5 | |
| 113 7 | |
| 114 5 | |
| 115 3 | |
| 116 2 | |
| 117 5 | |
| 118 8 | |
| 119 7 | |
| 120 6 | |
| 121 4 | |
| 122 | |
| 123 And the second input file representing the second sample as follows:: | |
| 124 | |
| 125 2 | |
| 126 3 | |
| 127 5 | |
| 128 1 | |
| 129 2 | |
| 130 7 | |
| 131 5 | |
| 132 4 | |
| 133 3 | |
| 134 2 | |
| 135 7 | |
| 136 6 | |
| 137 0 | |
| 138 8 | |
| 139 4 | |
| 140 6 | |
| 141 9 | |
| 142 2 | |
| 143 4 | |
| 144 5 | |
| 145 6 | |
| 146 | |
| 147 Runnig the program and choosing "Two-sided" and "Equal" as parameters will give the following output:: | |
| 148 | |
| 149 Two Sample t-test | |
| 150 | |
| 151 data: sample1 and sample2 | |
| 152 t = -0.3247, df = 40, p-value = 0.7471 | |
| 153 alternative hypothesis: true difference in means is not equal to 0 | |
| 154 95 percent confidence interval: | |
| 155 -1.720030 1.243839 | |
| 156 sample estimates: | |
| 157 mean of x mean of y | |
| 158 4.333333 4.571429 | |
| 159 | |
| 160 | |
| 161 </help> | |
| 162 | |
| 163 </tool> |
