Timeline for Sparse matrix in R based on the data frame
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 25, 2018 at 19:43 | vote | accept | I.D.M | ||
| Dec 24, 2018 at 20:23 | history | edited | wacax | CC BY-SA 4.0 |
new improvement without bug
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| Dec 24, 2018 at 20:16 | comment | added | wacax | As suggested at the end: " If you don't want to use User_Id as indices you will have to create new indices and use those instead and have one User_Id correspond to a new index." that means User_Id 11 = New_Index = 1, User_Id 18 = New_Index = 2. Use New_Index instead of User_Id and you're done. If you want to add more information about your question then you should edit your question instead. Check the answer edit for more information. | |
| Dec 24, 2018 at 20:14 | history | edited | wacax | CC BY-SA 4.0 |
further explanation with code.
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| Dec 24, 2018 at 20:03 | history | edited | wacax | CC BY-SA 4.0 |
clarification requested by comment.
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| Dec 24, 2018 at 15:27 | comment | added | I.D.M | Thank you for your answer. I have one more problem. Unfortunately, the levels function probably does not really match my problem because it spreads User_Id between all numbers between 1 and 276726. But I do not have all of these values in the original User_Id for example 11, 18 etc. Or, do you think that I should only use a subset of rows from dgCMatrix to create a realRatingMatrix ? | |
| Dec 24, 2018 at 3:21 | history | answered | wacax | CC BY-SA 4.0 |