Timeline for linear model without intercept : wrong r-square value? [duplicate]
Current License: CC BY-SA 4.0
10 events
when toggle format | what | by | license | comment | |
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Feb 11, 2020 at 10:20 | history | duplicates list edited | Scortchi♦ | duplicates list edited from Why I am getting different $R^2$ from R LM and manual calculation? to Removal of statistically significant intercept term increases $R^2$ in linear model, Why I am getting different $R^2$ from R LM and manual calculation? | |
Feb 11, 2020 at 10:20 | history | closed | Scortchi♦ | Duplicate of Why I am getting different $R^2$ from R LM and manual calculation? | |
Feb 11, 2020 at 8:27 | vote | accept | Curycu | ||
Feb 11, 2020 at 8:17 | answer | added | Haitao Du | timeline score: 2 | |
Feb 11, 2020 at 8:13 | history | migrated | from stackoverflow.com (revisions) | ||
Feb 11, 2020 at 8:09 | comment | added | zx8754 | If the data is small and efficiency is not a concern, then yeah go with multiple mutate calls. | |
Feb 11, 2020 at 7:59 | comment | added | Curycu | @zx8754 I use R-studio IDE shortcut command + option + down.arrow :D then easier to modify code with multiple mutate line then one | |
Feb 11, 2020 at 7:55 | comment | added | zx8754 | Side note, you can keep all "mutations" inside one mutate(). | |
Feb 11, 2020 at 7:44 | comment | added | Stéphane Laurent | This is not wrong. Some call it the "R0 squared". Make a research on Cross Validated. | |
Feb 11, 2020 at 7:35 | history | asked | Curycu | CC BY-SA 4.0 |