Row and column matrices in multiple correspondence analysis with ordered categorical and dichotomous variables
In multiple correspondence analysis, whenever the number of variables exceeds the number of observations, row matrix should be used, but if the number of variables is less than the number of observations column matrix is the suitable procedure to follow. One of the following matrices (rows, columns)...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/73885/1/RobiahAdnan2016_RowAndColumnMatricesInMultiple.pdf http://eprints.utm.my/id/eprint/73885/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957878975&doi=10.11113%2fjt.v78.4077&partnerID=40&md5=641b024c1e2f20a966b48e81475fc967 |
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