Timeline for PCA in R without deleting or imputing missing values
Current License: CC BY-SA 4.0
7 events
when toggle format | what | by | license | comment | |
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Jun 13, 2022 at 10:35 | answer | added | vak | timeline score: 0 | |
Oct 3, 2019 at 21:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
Jun 24, 2019 at 18:08 | comment | added | EdM | Are you simply trying to find principal components that capture the variability among the samples, or do you intend to use principal components as predictors for some type of regression or classification model? | |
Jun 21, 2019 at 16:26 | answer | added | Dave | timeline score: 1 | |
Jun 21, 2019 at 15:32 | history | migrated | from stackoverflow.com (revisions) | ||
Jun 19, 2019 at 15:15 | comment | added | ahmad | Possible duplicate of Omit NA and data imputation before doing PCA analysis using R | |
Jun 19, 2019 at 14:08 | history | asked | maia | CC BY-SA 4.0 |