Timeline for Correspondence Analysis R
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 28, 2023 at 10:15 | history | edited | Jeremy Miles | CC BY-SA 4.0 |
edited body; edited title
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| Sep 28, 2023 at 9:43 | answer | added | J-J-J | timeline score: 2 | |
| Feb 16, 2022 at 15:12 | answer | added | kjetil b halvorsen♦ | timeline score: 2 | |
| Feb 16, 2022 at 15:11 | history | edited | kjetil b halvorsen♦ |
edited tags
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| S Feb 16, 2022 at 14:50 | history | suggested | Janosch | CC BY-SA 4.0 |
Fixed some issue for better readibility
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| Feb 16, 2022 at 14:49 | review | Suggested edits | |||
| S Feb 16, 2022 at 14:50 | |||||
| Feb 16, 2022 at 13:35 | comment | added | user2974951 | CA is similar to PCA, but used with categorical variables. Just like PCA, CA does not have independent and dependent variables, they are all treated as one. For PCA you could use PLS to condition the X's on the Y's. I do not know of such an alternative for CA. | |
| S Feb 16, 2022 at 13:07 | review | First questions | |||
| Feb 16, 2022 at 16:17 | |||||
| S Feb 16, 2022 at 13:07 | history | asked | IDK | CC BY-SA 4.0 |