[R] Discriminant Function Analysis
Senthil Nambi
senthil196 at gmail.com
Sat Nov 15 01:13:25 CET 2008
Hi,
I need to emulate the result I in SPSS for discriminant analysis.
Specifically, Canonical discriminant function coefficients and most
importantly classification results.
| -------- | ----- | ---------------------- |
-------------------------------------------------------- |
---------------------- |
| | | job | Predicted Group Membership | Total |
| | | | ---------------------- | -------------- | -------------- | ---------------------- |
| | | | 1.00 customer service | 2.00 mechanic | 3.00 dispatch | 1.00 customer service |
| -------- | ----- | ---------------------- | ---------------------- | -------------- | -------------- | ---------------------- |
| Original | Count | 1.00 customer service | 70 | 11 | 4 | 85 |
| | | ---------------------- | ---------------------- | -------------- | -------------- | ---------------------- |
| | | 2.00 mechanic | 16 | 62 | 15 | 93 |
| | | ---------------------- | ---------------------- | -------------- | -------------- | ---------------------- |
| | | 3.00 dispatch | 3 | 12 | 51 | 66 |
| | ----- | ---------------------- | ---------------------- | -------------- | -------------- | ---------------------- |
| | % | 1.00 customer service | 82.4 | 12.9 | 4.7 | 100.0 |
| | | ---------------------- | ---------------------- | -------------- | -------------- | ---------------------- |
| | | 2.00 mechanic | 17.2 | 66.7 | 16.1 | 100.0 |
| | | ---------------------- | ---------------------- | -------------- | -------------- | ---------------------- |
| | | 3.00 dispatch | 4.5 | 18.2 | 77.3 | 100.0 |
| -------- | ----- | ---------------------- | ---------------------- | -------------- | -------------- | ---------------------- |
a 75.0% of original grouped cases correctly classified.
Something like the table above.
I am not sure how the table will turn out. It basically has the original group and the predicted group and based on that, the % correctly classified group.
Thank you
More information about the R-help
mailing list