Re: PSPP-BUG: Logistic Regression bugs

[John Darrington]

I did some further investigation and concluded that other software
does indeed ignore observations with missing values in the dependent
variable (despite what their documentation suggests).  This seems 
like a reasonable thing to do, so I have updated the logistic
regression command to do that.

Categorical variables should also work correctly and there is now
a classification table in the output.

J'

On Tue, Nov 13, 2012 at 01:08:19PM -0500, Renan Levine wrote:
     Dear PSPP users and programmers,
     
     Thank you for your hard work in developing new capabilities for
     PSPP. I'm using the most recent version of PSPP, psppire.exe
     0.7.9-gaef7f5
     
     I recently encountered some problems while running logistic regressions:
     
     1) There appears to be a bug in the logistic regression routine
     that causes it to recognize missing values in the dependent
     variable as a value category. So, even when a variable is coded
     0, 1 and [system] missing (common in public opinion data), PSPP
     gives an error message: "Dependent variable's values are not
     dichotomous."
     
     I've run logit analyses on three different .por and one .sav
     datasets, tried to see if user-missing is treated differently
     than system-missing, and if declaring missing values works any
     differently than a recode statement. The only way I manage to run
     a logistic regression is if I recode the dependent variable to be
     two integers with no missing values.
     
     2) Less critically, I'm not sure the syntax /CATEGORICAL=var is
     working correctly. When I include that line, letting the computer
     know that an independent variable is dichotomous, I get an error
     message: .3-13: error: Syntax error at 'categorical'. HOWEVER,
     just including the variable on the initial line with the other
     independent variables seems to work (I can't be certain because I
     did not cross-reference my results with another statistics
     program).
     
     Yours,
     Renan
     
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