Timeline for Finding GLMMs that fit my count data for multiple datasets
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
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| Apr 8, 2019 at 7:23 | answer | added | Dimitris Rizopoulos | timeline score: 1 | |
| Apr 8, 2019 at 7:18 | history | edited | Dimitris Rizopoulos | CC BY-SA 4.0 |
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| Apr 6, 2019 at 3:01 | history | tweeted | twitter.com/StackStats/status/1114362545043902466 | ||
| Apr 5, 2019 at 20:02 | history | edited | Niall Millar | CC BY-SA 4.0 |
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| Apr 5, 2019 at 18:34 | history | edited | Niall Millar | CC BY-SA 4.0 |
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| Apr 5, 2019 at 17:43 | comment | added | kjetil b halvorsen♦ | There are a lot of posts here about count-data, so search this site! Specifically see. And, please add the new information in comments as an edit to the original Q, that way more eople will see it. Can you also include a (link to) the data? | |
| Apr 5, 2019 at 17:37 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
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| Apr 5, 2019 at 16:32 | comment | added | Björn | Firstly, you may consider (1|Block) + (1|Plant), where plant is a factor with 24*15 =360 levels to capture whether data are overdispersed vs. the Poisson distribution, Secondly, a spline could be done e.g. using + bs(nitrogen,knots = c(1,5,10)) (no idea whether 1, 5 and 10 are sensible spots for knots). Also, you need a lot of levels of a continuous variable for a generic spline to make sense. I guess 24 combinations means something like 12 values vs 2 species? If so, great. If not, with e.g. 3 values vs. 8 species, a spline may not work and you may be better of treating N.level as a factor. | |
| Apr 5, 2019 at 15:45 | comment | added | Niall Millar | Each plant was in its own pot, and received one of six N levels. Block is just randomly assigned position in the greenhouse. Each block contained one rep of every treatment combination (24 plants per block, 15 blocks). We do expect there to be an initial increase in number of nodules with nodules, but a decrease at the higher levels. This is the case for 4 of my 5 datasets, there's an increase in nodules across the first two N levels, then nodules decrease. How would I go about applying a spline, then? Thanks! | |
| Apr 5, 2019 at 5:09 | comment | added | Björn | What is block and how was the data generated? Is block a block/patch of soil with multiple plants that you randomly assigned to receiving the sane nitrogen level (then you may need Moore variation between individual plants)? Are there since theories how the relationship with nitrogen could look like- e.g. could it be non monotonic increase up to a point, then decrease again (then spline could be an idea)? | |
| Apr 4, 2019 at 23:00 | review | First posts | |||
| Apr 5, 2019 at 6:48 | |||||
| Apr 4, 2019 at 22:59 | history | asked | Niall Millar | CC BY-SA 4.0 |