Difference between revisions of "SOCR EduMaterials AnalysesCommandLineDichotomousProportion"
(New page: This page includes the information on how to access the [http://socr.ucla.edu/htmls/SOCR_Analyses.html Multiple Regression] library via shell-based command-line interface on local machines...) |
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− | This page includes the information on how to access the [http://socr.ucla.edu/htmls/SOCR_Analyses.html | + | This page includes the information on how to access the [http://socr.ucla.edu/htmls/SOCR_Analyses.html DichotomousProportion] 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 == | ||
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* Number of variables can be indicated at the end (after '''-h''' flag). If no number of variable is included, 3 is set defaulted. | * Number of variables can be indicated at the end (after '''-h''' flag). If no number of variable is included, 3 is set defaulted. | ||
− | == | + | == Dichotomous ProportionUsage== |
* Generic Setting: | * Generic Setting: | ||
<code> | <code> | ||
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− | {{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title= | + | {{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_AnalysesCommandLineDichotomousProportion}} |
Revision as of 16:27, 6 March 2008
This page includes the information on how to access the DichotomousProportion 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)
- Number of variables can be indicated at the end (after -h flag). If no number of variable is included, 3 is set defaulted.
Dichotomous ProportionUsage
- Generic Setting:
java -cp [SOCRjar_location]/SOCR_core.jar:[SOCRjar_location]/SOCR_plugin.jar edu.ucla.stat.SOCR.analyses.command.MultiRegressionCSV [data_location]/m.txt -h [number_of_variables] 3
- Example: Edit a new file (MultiRegressionCSV.csh) using any editor and paste this inside (make sure the file has executable permisions). Some operating systems/platforms may require variants of this (C-shell) script.
#!/bin/csh
date
java -cp /cxfs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/bin/SOCR_core.jar:/
cxfs/ccb/CCB_SW_Tools/others/Statistics/SOCR_Statistics/bin/SOCR_plugin.jar edu.ucla.
stat.SOCR.analyses.command.MultiRegressionCSV /cxfs/ccb/CCB_SW_Tools/others/Statist
ics/SOCR_Statistics/SOCR_CSV_test_Scripts_Data/m.txt -h 3
date
exit
Example Input data files
One test datafile is included with the SOCR analyses command-line distribution (m.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.
m.txt | ||
---|---|---|
x | y | z |
968.0 | 158.0 | 64.0 |
43.0 | 11.0 | 0.4 |
588.0 | 91.0 | 12.0 |
640.0 | 92.0 | 34.0 |
4743.0 | 952.0 | 100.0 |
566.0 | 109.0 | 17.0 |
325.0 | 167.0 | 518.0 |
118.0 | 30.0 | 226.0 |
115.0 | 35.0 | 12524.0 |
1545.0 | 298.0 | 91.0 |
1302.0 | 203.0 | 68.0 |
262.0 | 41.0 | 8.1 |
2207.0 | 544.0 | 180.0 |
1410.0 | 254.0 | 129.0 |
833.0 | 150.0 | 49.0 |
669.0 | 136.0 | 27.0 |
911.0 | 147.0 | 76.0 |
1037.0 | 146.0 | 72.0 |
1196.0 | 46.0 | 31.0 |
616.0 | 157.0 | 314.0 |
766.0 | 255.0 | 655.0 |
2120.0 | 403.0 | 137.0 |
841.0 | 189.0 | 43.0 |
648.0 | 85.0 | 46.0 |
1289.0 | 234.0 | 63.0 |
259.0 | 38.0 | 4.6 |
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