Timeline for Visualize effects of a regression with categorical explanatory variables (3 levels) in R?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Jun 26, 2014 at 14:54 | answer | added | Aurelie | timeline score: 0 | |
| Jun 26, 2014 at 12:45 | answer | added | Aurelie | timeline score: 1 | |
| Jun 25, 2014 at 6:37 | comment | added | cptn | @ gung: yes RET is the abnormal return of the company on the event day and is continuous. | |
| Jun 24, 2014 at 21:53 | comment | added | gung - Reinstate Monica |
What is RET? Is it a continuous variable?
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| Jun 24, 2014 at 21:46 | answer | added | Penguin_Knight | timeline score: 3 | |
| Jun 24, 2014 at 19:44 | comment | added | cptn | @ Aurelie: Yes it's just an example data.frame. My original data consists of ~30'000 rows of very similar structure. Couldn't figure out how to get rid of the NA values. Do the NA's cause problems when plotting? | |
| Jun 24, 2014 at 17:08 | comment | added | Aurelie | Yet, you do not have enought variability in the Ligitation and Layoff variables to estimate their effects. Unless you provided only a subset of your data? | |
| Jun 24, 2014 at 16:40 | history | asked | cptn | CC BY-SA 3.0 |