Timeline for How to write model with fixed factors nested in random one?
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| S Nov 24, 2019 at 10:09 | history | suggested | Steffen Moritz | CC BY-SA 4.0 |
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| Nov 24, 2019 at 0:26 | review | Suggested edits | |||
| S Nov 24, 2019 at 10:09 | |||||
| Jun 7, 2019 at 10:10 | comment | added | Roland | As far as I understand you don't have nested subjects. | |
| Jun 7, 2019 at 9:57 | history | edited | UlvHare | CC BY-SA 4.0 |
added 296 characters in body
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| Jun 7, 2019 at 9:48 | comment | added | UlvHare | @Roland, thank you! I think it's good idea to take into account the effect "concentration within sample". But how to specify other nestedness? | |
| Jun 7, 2019 at 7:15 | comment | added | Roland |
The "subjects" of the repeated measures are the sample IDs. These go on the RHS of |. What was measured for each subject was the concentration effect. That goes on the LHS. So I'd do M0 <- lmer(cbha2 ~ extragent * conc * loc_part + (conc | sample), data = concWork).
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| Jun 6, 2019 at 16:50 | review | Close votes | |||
| Jun 8, 2019 at 12:23 | |||||
| Jun 6, 2019 at 16:30 | review | First posts | |||
| Jun 6, 2019 at 16:46 | |||||
| Jun 6, 2019 at 16:28 | history | asked | UlvHare | CC BY-SA 4.0 |