Timeline for How to transform my sparse count data into normal distribution?
Current License: CC BY-SA 4.0
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| Mar 2 at 20:38 | answer | added | kjetil b halvorsen♦ | timeline score: 1 | |
| Mar 2 at 20:37 | history | edited | kjetil b halvorsen♦ |
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| May 30, 2018 at 6:16 | comment | added | Noelline Tsafack | thanks for your answers. I log-transformed to normalize my response variable and diagnosed the model by checking for residuals normality... what is wrong. I will do a simple one glm(Y~X, family=poisson) and check for the goodness-of-fit the model. | |
| May 29, 2018 at 19:01 | history | edited | Nick Cox | CC BY-SA 4.0 |
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| May 29, 2018 at 12:11 | comment | added | Glen_b | Or negative binomial regression, etc... | |
| May 29, 2018 at 10:56 | comment | added | mdewey | If your outcome is a count is there any reason why you are avoiding Poisson regression? | |
| May 29, 2018 at 7:15 | history | edited | Ferdi | CC BY-SA 4.0 |
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| May 29, 2018 at 6:42 | review | First posts | |||
| May 29, 2018 at 7:37 | |||||
| May 29, 2018 at 6:39 | history | asked | Noelline Tsafack | CC BY-SA 4.0 |