Timeline for How to summarise a dataframe retaining all the columns
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| May 5, 2023 at 8:04 | comment | added | jpm92 | Question has been updated. I have managed to accomplish what I was looking for with reframe() and across() but it's still not the best approach I think. Let me know if you can improve it and thanks a lot, really :) | |
| May 5, 2023 at 6:35 | comment | added | TarJae | Could you add an extended example? | |
| May 4, 2023 at 19:31 | comment | added | jpm92 | I know it is, but as I mentioned, I have 20 more columns apart from B that I need to retain that I didn't include in the reprex to simplify it, how could I retain all of them without having to manually specify them in the code? | |
| May 4, 2023 at 18:42 | comment | added | TarJae | I am sorry but my output is exact the same as your desired output? | |
| May 4, 2023 at 18:39 | comment | added | Azor Ahai -him- |
@jpm92 Just group_by(A, B) if B is always the same
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| May 4, 2023 at 18:37 | comment | added | jpm92 | Sorry, I mentioned it but maybe I wasn't clear. I need to retain every column in the original df, not only B. Is it still possible to accomplish this with this approach? (without having to write down manually 20 columns, of course :D) | |
| S May 4, 2023 at 18:24 | history | answered | TarJae | CC BY-SA 4.0 | |
| S May 4, 2023 at 18:24 | history | notice added | TarJae | Posted by Recognized Member/Admin in R Language |