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Hello
I am interested in adapting the syntax file oms_bootstrapping.sps provided in the SPSS tutorials folder (at least for SPSS 14.0) in order to ensure that I have a datafile containing each of the assumed 100 bootstrap samples generated for the two independent variables. For convenience, I provide the original code below. Could someone kindly assist by editing this code to ensure that I obtain the samples I require. Thank you very much Margaret ============================================================ ***oms_bootstrapping.sps***. PRESERVE. SET TVARS NAMES. ***first OMS command just suppresses Viewer output***. OMS /DESTINATION VIEWER=NO /TAG='suppressall'. DATASET DECLARE bootstrap_example. ***select regression coefficients tables and write to data file***. ***Note that DIMNAMES values vary based on output language***. ***/COLUMNS SEQUENCE=[R2 C1] will achieve the same result in all languages***. OMS /SELECT TABLES /IF COMMANDS=['Regression'] SUBTYPES=['Coefficients'] /DESTINATION FORMAT=SAV OUTFILE='bootstrap_example' /COLUMNS DIMNAMES=['Variables' 'Statistics'] /TAG='reg_coeff'. ***define a macro to draw samples with replacement and run Regression commands***. DEFINE regression_bootstrap (samples=!TOKENS(1) /depvar=!TOKENS(1) /indvars=!CMDEND) COMPUTE dummyvar=1. AGGREGATE /OUTFILE = * MODE = ADDVARIABLES /BREAK=dummyvar /filesize=N. !DO !other=1 !TO !samples SET SEED RANDOM. WEIGHT OFF. FILTER OFF. DO IF $casenum=1. - COMPUTE #samplesize=filesize. - COMPUTE #filesize=filesize. - COMPUTE newsample=salbegin. END IF. DO IF (#samplesize>0 and #filesize>0). - COMPUTE sampleWeight=rv.binom(#samplesize, 1/#filesize). - COMPUTE #samplesize=#samplesize-sampleWeight. - COMPUTE #filesize=#filesize-1. ELSE. - COMPUTE sampleWeight=0. END IF. WEIGHT BY sampleWeight. FILTER BY sampleWeight. REGRESSION /STATISTICS COEFF /DEPENDENT !depvar /METHOD=ENTER !indvars. !DOEND !ENDDEFINE. ***insert any valid path\data file name***. GET FILE='c:\Program Files\SPSS\Employee data.sav'. ***Call the macro, and specify number of samples, dependent variable, and independent variables***. regression_bootstrap samples=100 depvar=salary indvars=salbegin jobtime . OMSEND. DATASET ACTIVATE bootstrap_example. ***Variable names here indvar variable names with***. *** "_B" and "_Beta" appended to end of variable names***. FREQUENCIES VARIABLES=salbegin_B salbegin_Beta jobtime_B jobtime_Beta /FORMAT NOTABLE /PERCENTILES= 2.5 97.5 /HISTOGRAM NORMAL. RESTORE. ======================================================== --------------------------------- Now you can scan emails quickly with a reading pane. Get the new Yahoo! Mail. |
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