Timeline for LMER random effects
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 21, 2021 at 18:28 | comment | added | Robert Long | Does this answer your question ? If so please consider marking it as the accepted answer. If not, please let us know why. Also, if you haven't already, please consider upvoting it | |
| Jul 23, 2021 at 21:58 | history | edited | Robert Long | CC BY-SA 4.0 |
typo
|
| Jul 23, 2021 at 9:06 | comment | added | Robert Long |
Ahh, OK that makes sense now - so yes I would agree that (1|Transect)+(1|PlotID: Transect) makes sense - the only possible difficulty is that you have only 5 transects that that's rather few for fitting random intercepts. You can still do it, but I would also fit a model with transect as a fixed effect instead, just to compare your inferences.
|
|
| Jul 23, 2021 at 8:47 | comment | added | Maria R | Hello Robert, Apologies, I did not make that very clear, the "plotID" is an identifier of each core (I just named it plot), consider it as "coreID". The Transects cut across the three Zones and within each Transect and Zone I took one core and halved it per sampling Season. | |
| Jul 22, 2021 at 15:42 | comment | added | Robert Long | No problem, you're welcome. Indeed, if plot is nested within transect, this would make sense, but what exactly is "plot" ? From the first paragraph, this is unclear. What is the relationship between plot, transect and zone ? | |
| Jul 22, 2021 at 14:42 | comment | added | Maria R | Hello Robert, thank you very much for your kind reply, this has helped me a lot to identify what is missing in my model. I am now considering using the function: (1|Transect)+(1|PlotID: Transect) | |
| Jul 22, 2021 at 14:02 | history | answered | Robert Long | CC BY-SA 4.0 |