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comparison partialR_square.xml @ 1:2e7bc1bb2dbe draft default tip

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author iuc
date Fri, 09 Jan 2015 12:56:07 -0500
parents ffcdde989859
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0:ffcdde989859 1:2e7bc1bb2dbe
3 <expand macro="requirements" /> 3 <expand macro="requirements" />
4 <macros> 4 <macros>
5 <import>statistic_tools_macros.xml</import> 5 <import>statistic_tools_macros.xml</import>
6 </macros> 6 </macros>
7 <command interpreter="python"> 7 <command interpreter="python">
8 partialR_square.py 8 <![CDATA[
9 partialR_square.py
9 $input1 10 $input1
10 $response_col 11 $response_col
11 $predictor_cols 12 $predictor_cols
12 $out_file1 13 $out_file1
13 1>/dev/null 14 1>/dev/null
15 ]]>
14 </command> 16 </command>
15 <inputs> 17 <inputs>
16 <param format="tabular" name="input1" type="data" label="Select data" help="Dataset missing? See TIP below."/> 18 <param format="tabular" name="input1" type="data" label="Select data" help="Dataset missing? See TIP below."/>
17 <param name="response_col" label="Response column (Y)" type="data_column" data_ref="input1" /> 19 <param name="response_col" label="Response column (Y)" type="data_column" data_ref="input1" />
18 <param name="predictor_cols" label="Predictor columns (X)" type="data_column" data_ref="input1" multiple="true"> 20 <param name="predictor_cols" label="Predictor columns (X)" type="data_column" data_ref="input1" multiple="true">
28 <param name="input1" value="regr_inp.tabular"/> 30 <param name="input1" value="regr_inp.tabular"/>
29 <param name="response_col" value="3"/> 31 <param name="response_col" value="3"/>
30 <param name="predictor_cols" value="1,2"/> 32 <param name="predictor_cols" value="1,2"/>
31 <output name="out_file1" file="partialR_result.tabular"/> 33 <output name="out_file1" file="partialR_result.tabular"/>
32 </test> 34 </test>
33 35
34 </tests> 36 </tests>
35 <help> 37 <help>
38 <![CDATA[
36 39
37 .. class:: infomark 40 .. class:: infomark
38 41
39 **TIP:** If your data is not TAB delimited, use *Edit Datasets-&gt;Convert characters* 42 **TIP:** If your data is not TAB delimited, use *Edit Datasets->Convert characters*
40 43
41 ----- 44 -----
42 45
43 .. class:: infomark 46 .. class:: infomark
44 47
45 **What it does** 48 **What it does**
46 49
47 This tool computes the Partial R squared for all possible variable subsets using the following formula: 50 This tool computes the Partial R squared for all possible variable subsets using the following formula:
48 51
49 **Partial R squared = [SSE(without i: 1,2,...,p-1) - SSE (full: 1,2,..,i..,p-1) / SSE(without i: 1,2,...,p-1)]**, which denotes the case where the 'i'th predictor is dropped. 52 **Partial R squared = [SSE(without i: 1,2,...,p-1) - SSE (full: 1,2,..,i..,p-1) / SSE(without i: 1,2,...,p-1)]**, which denotes the case where the 'i'th predictor is dropped.
50 53
51 54
52 55
53 In general, **Partial R squared = [SSE(without i: 1,2,...,p-1) - SSE (full: 1,2,..,i..,p-1) / SSE(without i: 1,2,...,p-1)]**, where, 56 In general, **Partial R squared = [SSE(without i: 1,2,...,p-1) - SSE (full: 1,2,..,i..,p-1) / SSE(without i: 1,2,...,p-1)]**, where,
54 57
61 - Column 1 (Model): denotes the variables present in the model 64 - Column 1 (Model): denotes the variables present in the model
62 - Column 2 (R-sq): denotes the R-squared value corresponding to the model in Column 1 65 - Column 2 (R-sq): denotes the R-squared value corresponding to the model in Column 1
63 - Column 3 (Partial R squared_Terms): denotes the variable/s for which Partial R squared is computed. These are the variables that are absent in the reduced model in Column 1. A '-' in this column indicates that the model in Column 1 is the Full model. 66 - Column 3 (Partial R squared_Terms): denotes the variable/s for which Partial R squared is computed. These are the variables that are absent in the reduced model in Column 1. A '-' in this column indicates that the model in Column 1 is the Full model.
64 - Column 4 (Partial R squared): denotes the Partial R squared value corresponding to the variable/s in Column 3. A '-' in this column indicates that the model in Column 1 is the Full model. 67 - Column 4 (Partial R squared): denotes the Partial R squared value corresponding to the variable/s in Column 3. A '-' in this column indicates that the model in Column 1 is the Full model.
65 68
66 *R Development Core Team (2010). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.* 69 *R Development Core Team (2010). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.*
67 70
71 ]]>
68 </help> 72 </help>
69 </tool> 73 </tool>