http://spssx-discussion.165.s1.nabble.com/Discriminant-function-analysis-tp4315226p4328963.html
> I've done a discriminant function analysis in SPSS intended to classify 3
> types of case using 30 variables. The discriminant function coefficients and
> structure matrix are below. It is clear that the two functions do different
> things with these data. I have the following questions:
> 1. How do I identify what each function is doing when cases are classified?
> 2. I want to calculate on a case by case basis the scores for truncated
> forms of each discriminant function (f1 S1DUR - S3PIRANG and f2 S3INRANG
> -RPVIS1). I assume I generate a linear equation using these coefficients to
> weight each variable. Is that right?
> 3. Alternatively, is there a simple way of obtaining the scores from each
> case for each discriminant function by procedures in SPSS? On reflection,
> this might be the preferred option, but I will stand to be advised.
>
> any other advice, observations would be gratefully received.
> Many thanks
> PH
>
>
> Standardized Canonical Discriminant Function Coefficients
> Function
> 1 2
> S1DUR .106 -.090
> S1PIRANG -.041 .074
> S1INRENG .087 .009
> S2DUR -.048 -.276
> S2PIRANG .198 -.284
> S2INRANG .211 -.113
> S3DUR -1.906 .829
> S3PIRANG .034 .016
> S3INRANG .273 .437
> S4DUR 1.546 -.843
> S4PIRANG .123 .118
> S4INRANG -.326 -.145
> NPVIS1 -.246 -.002
> NPVIS2 -.165 .343
> NPVIS3 .096 -.201
> RPVIS4 .253 .362
> NPVIS4 .373 -.099
> RPVIS1PI -.250 .234
> RPVIS2PI .256 .345
> RPVIS3PI .067 .107
> RPVIS4PI .081 -.113
> RPVIS1IN .061 .316
> RPVIS2IN -.689 -.097
> RPVIS3IN .640 -.269
> RPVIS4IN .229 .239
> RPVI1TO4 -.200 1.226
> NPVI1TO4 .082 -1.588
>
>
> Structure Matrix
> Function
> 1 2
> NPVIS4 .324 -.053
> S4INRANG -.255 -.014
> S2INRANG .245 .076
> RPVIS3IN .230 -.029
> S3DUR -.227 -.065
> RPVIS3 -.227 -.065
> NPVIS1 -.222 .047
> S4DUR -.155 -.079
> RPVIS2IN -.119 .068
> S2DUR -.117 .012
> RPVIS2 -.117 .012
> RPVIS4PI .106 .053
> RPVIS4 .103 .047
> S1INRENG -.100 -.034
> S3PIRANG .088 -.038
> RPVI1TO4 -.077 .057
> S4PIRANG .072 .049
> S3INRANG .141 .354
> RPVIS3PI .040 .318
> RPVIS2PI .175 .313
> NPVIS2 -.210 .306
> RPVIS1PI -.124 .225
> S2PIRANG .078 -.207
> RPVIS4IN .119 .181
> NPVI1TO4 -.064 -.168
> NPVIS3 .111 -.167
> RPVIS1IN .144 .158
> S1PIRANG .069 -.082
> S1DUR .033 -.062
> RPVIS1 .033 -.062
> Pooled within-groups correlations between discriminating variables and
> standardized canonical discriminant functions
> Variables ordered by absolute size of correlation within function.
> * Largest absolute correlation between each variable and any discriminant
> function
> a This variable not used in the analysis.
>
>
>
> --
> View this message in context:
http://spssx-discussion.1045642.n5.nabble.com/Discriminant-function-analysis-tp4315226p4315226.html> Sent from the SPSSX Discussion mailing list archive at Nabble.com.
>
> =====================
> To manage your subscription to SPSSX-L, send a message to
>
[hidden email] (not to SPSSX-L), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSX-L
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD
>
command. To leave the list, send the command