Difference between revisions of "SOCR EduMaterials AnalysesCommandLineTwoIndependentWilcoxon"

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(New page: == Introduction == In addition to the graphical user interfaces, via a web-browser, all [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] allow command-line shell execution on ...)
 
 
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This page includes the information on how to access the [http://socr.ucla.edu/htmls/SOCR_Analyses.html Two Independent Sample Wilcoxon Rank Sum Test SOCR Analyses] library via shell-based command-line interface on local machines. More information about [[SOCR_EduMaterials_AnalysesCommandLine | other SOCR Analyses command-line interfaces is available here]].
 +
 
== Introduction ==
 
== Introduction ==
 
In addition to the graphical user interfaces, via a web-browser, all [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] allow command-line shell execution on local systems.
 
In addition to the graphical user interfaces, via a web-browser, all [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] allow command-line shell execution on local systems.
 +
 +
==General Usage==
 +
* Get the latest SOCR JAR files from the SOCR page (http://socr.ucla.edu/htmls/jars/).
 +
* The command-line interface to SOCR Analyses generally uses '''EXAMPLE 1''' from the list of example data files for the corresponding analysis.
 +
* All Input files are ASCII (see examples within each of the specific analyses).
 +
* a '''-h''' flag at the end of the command-line indicates that the first row in all ASCII input data files is a '''HEADER''' row (so it's not interpreted as data)
 +
 +
==Two Independent Sample Wilcoxon Rank Sum Test Usage==
 +
* Generic Setting:
 +
<code>
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java -cp [SOCRjar_location]/SOCR_core.jar:[SOCRjar_location]/SOCR_plugin.jar edu.ucla.stat.SOCR.analyses.command.TwoIndependentWilcoxonCSV [data_location]/t1.txt [data_location]/t2.txt -h
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</code>
 +
 +
* Example: Edit a new file (TwoIndependentWilcoxonCSV.csh) using any editor and paste this inside (make sure the file has executable permissions). Some operating systems/platforms may require variants of this (C-shell) script.
 +
<code>#!/bin/csh</code>
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 +
<code>date</code>
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 +
<code>java -cp /ifs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/bin/SOCR_core.jar:/
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ifs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/bin/SOCR_plugin.jar edu.ucla.stat.SOCR.analyses.command.TwoIndependentWilcoxonCSV /ifs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/SOCR_CSV_test_Scripts_Data/t1.txt /ifs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/SOCR_CSV_test_Scripts_Data/t2.txt -h</code>
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 +
<code>date</code>
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<code>exit</code>
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==Example Input data files==
 +
Two test datafiles are included with the SOCR analyses command-line distribution ('''t1.txt''' and '''t2.txt'''). The ASCII content of each of these is included below. Note that the first lines in these files are column headers. This requires the "-h" flag at the end of the command line execution so that these first lines are interpreted as column headers. If you do not include the "-h" flag, the program assumes there are '''no headers''' in the files and the datasets will be automatically labeled "variable 1" and "variable 2".
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 +
<center>
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{| class="wikitable" style="text-align:center" border="1" cellpadding="2"
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|-
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! t1.txt
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! t2.txt
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|-
 +
| Y1
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| Y2
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|-
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| 57.0
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| 68.0
 +
|-
 +
| 63.0
 +
| 71.0
 +
|-
 +
| 66.0
 +
| 67.0
 +
|-
 +
| 60.0
 +
| 72.0
 +
|-
 +
| 58.0
 +
| 64.0
 +
|-
 +
| 64.0
 +
| 69.0
 +
|-
 +
| 62.0
 +
| 70.0
 +
|-
 +
| 65.0
 +
| 75.0
 +
|-
 +
|
 +
| 65.0
 +
|-
 +
|
 +
| 73.0
 +
|}
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</center>
 +
 +
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_AnalysesCommandLineTwoIndependentWilcoxon}}

Latest revision as of 19:54, 2 December 2008

This page includes the information on how to access the Two Independent Sample Wilcoxon Rank Sum Test SOCR Analyses library via shell-based command-line interface on local machines. More information about other SOCR Analyses command-line interfaces is available here.

Introduction

In addition to the graphical user interfaces, via a web-browser, all SOCR Analyses allow command-line shell execution on local systems.

General Usage

  • Get the latest SOCR JAR files from the SOCR page (http://socr.ucla.edu/htmls/jars/).
  • The command-line interface to SOCR Analyses generally uses EXAMPLE 1 from the list of example data files for the corresponding analysis.
  • All Input files are ASCII (see examples within each of the specific analyses).
  • a -h flag at the end of the command-line indicates that the first row in all ASCII input data files is a HEADER row (so it's not interpreted as data)

Two Independent Sample Wilcoxon Rank Sum Test Usage

  • Generic Setting:

java -cp [SOCRjar_location]/SOCR_core.jar:[SOCRjar_location]/SOCR_plugin.jar edu.ucla.stat.SOCR.analyses.command.TwoIndependentWilcoxonCSV [data_location]/t1.txt [data_location]/t2.txt -h

  • Example: Edit a new file (TwoIndependentWilcoxonCSV.csh) using any editor and paste this inside (make sure the file has executable permissions). Some operating systems/platforms may require variants of this (C-shell) script.

#!/bin/csh

date

java -cp /ifs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/bin/SOCR_core.jar:/ ifs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/bin/SOCR_plugin.jar edu.ucla.stat.SOCR.analyses.command.TwoIndependentWilcoxonCSV /ifs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/SOCR_CSV_test_Scripts_Data/t1.txt /ifs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/SOCR_CSV_test_Scripts_Data/t2.txt -h

date

exit

Example Input data files

Two test datafiles are included with the SOCR analyses command-line distribution (t1.txt and t2.txt). The ASCII content of each of these is included below. Note that the first lines in these files are column headers. This requires the "-h" flag at the end of the command line execution so that these first lines are interpreted as column headers. If you do not include the "-h" flag, the program assumes there are no headers in the files and the datasets will be automatically labeled "variable 1" and "variable 2".

t1.txt t2.txt
Y1 Y2
57.0 68.0
63.0 71.0
66.0 67.0
60.0 72.0
58.0 64.0
64.0 69.0
62.0 70.0
65.0 75.0
65.0
73.0

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