SOCR EduMaterials AnalysesCommandLineChiSquareModelFit

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This page includes the information on how to access the Chi-Square Model-Fit SOCR Analyses library via shell-based command-line interface on local machines. More information about other SOCR Analyses command-line interfaces is available here.

Contents

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 -t 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 sharp/pound (#) symbol at the beginning of a line in the data files indicates a comment and this line is not interpreted as data.

Chi-Square Goodness of Fit Model Usage

  • Generic Setting:

java -cp [SOCRjar_location]/SOCR_core.jar:[SOCRjar_location]/SOCR_plugin.jar edu.ucla.stat.SOCR.analyses.command.ChiSquareModelFitCSV [data_location]/c1.txt [data_location]/c2.txt -t 1

  • Example: Edit a new file (ChiSquareModelFitCSV.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.ChiSquareModelFitCSV /cxfs/ccb/CCB_SW_Tools/others/Statist ics/SOCR_Statistics/SOCR_CSV_test_Scripts_Data/c1.txt /cxfs/ccb/CCB_SW_Tools/others/S tatistics/SOCR_Statistics/SOCR_CSV_test_Scripts_Data/c2.txt -t 1

date

exit

Example Input data files

c1.txt c2.txt
OBS EXP
18.0 12.2
28.0 27.0
56.0 56.5
105.0 94.9
126.0 132.7
146.0 159.1
164.0 166.9
161.0 155.6
123.0 130.6
101.0 99.7
74.0 69.7
53.0 45.0
23.0 27.0
15.0 15.1
9.0 7.9
5.0 7.9




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