Difference between revisions of "SOCR EduMaterials AnalysesCommandLineMultiRegression"

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* All Input files are ASCII (see examples within each of the specific analyses).
 
* 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)
 
* 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 model parameter 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.
  
 
==Multiple Regression Usage==
 
==Multiple Regression Usage==
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!  
 
!  
 
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| D
 
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|-
 
|-
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| 5.0
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| 968.0
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| 4.0
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| 158.0
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| 7.0
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| 64.0
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| 10.0
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|-
 +
| 43.0
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|-
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| 12.0
 
| 12.0
 
|-
 
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|-
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|-
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| 669.0
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| 136.0
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| 27.0
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|-
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| 911.0
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| 147.0
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|-
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| 1037.0
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| 146.0
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| 72.0
 
|-
 
|-
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| 46.0
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|-
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|-
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| 766.0
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| 655.0
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|-
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| 2120.0
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| 403.0
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| 137.0
 
|-
 
|-
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| 5.0  
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| 841.0
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| 189.0
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| 43.0
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| 5.0
 
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| 4.0
 
 
|-
 
|-
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| 648.0
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| 46.0
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| 13.0
 
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|-
 
|-
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| 1289.0
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| 234.0
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| 63.0
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| 37.0
 
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| 58.0
 
 
|-
 
|-
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| 10.0  
+
| 259.0
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| 7.0
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| 38.0
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| 6.0
+
| 4.6
−
| 8.0
 
−
| 7.0
 
 
|}
 
|}
 
</center>
 
</center>
  
 
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_AnalysesCommandLineMultiRegression}}
 
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_AnalysesCommandLineMultiRegression}}

Revision as of 16:16, 6 March 2008

This page includes the information on how to access the Multiple Regression 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.

Multiple Regression Usage

  • 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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