R help - Dec 2011 - Formatting probability data to produce confusion matrix for binary data for logistric regression

Hello R folks,

I’m looking to produce a confusion matrix using the command: 
cmx(PData,threshold=0.49,na.rm=FALSE) for a logistic regression model (1 is
habitat, 0 is nonhabitat).

To compile my PData data file (csv file) (as in the example above), I’m using
the output of the predict(glm) function.  Is there a way to export the output of
the predict function (which formats itself as shown below)  so that I can export
it into Excel as two columns (i.e., sample ID and probability?).  At present,
when I try copy and paste, it ends up in one cell and is not easily manipulated.

R output format example:

                  1             2             3             4             5     
6             7             8             9            10            11         
12
        0.526278645   0.989458044   0.834739251  -1.207218093   0.957373344  
0.988643146  -0.356652329   0.889463121   0.858587923   0.270430050  
1.000781325   0.999526931
                 13            14            15            16            17     
18            19            20            21            22            23        
24
        0.991809010   0.751469061  -0.740746896   0.249451379   0.992102707  
0.528213419   0.336177573  -0.944476861   1.000292603   0.273345885  
0.994184267  -1.419114223



Or is there another function for entering probabilities into my data file to
calculate a confusion matrix?

Thank you,
Sally
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