UQRUG 45
Questions: lmer model
2023-12-13: UQRUG 45
R Overview of the Month
This month at UQRUG, for the End of Year we will be having the Cool But Useless competition, where community members will share their creative code that shows off some fun things you can do with R.
Attendees
Add your name, where you’re from, and why you’re here:
| Name | Where are you from? | What brings you here? |
|---|---|---|
| Nicholas Wiggins | Library | Here to help! |
| Lauren Fuge | undergrad biomed & statistics! | here to beat cameron |
| Cameron West | Library / Physics | Here to win |
| Tamara | HDR STUDENT | QAAFI-CAS |
| David Miles | Library | Learning |
| Christina Maxwell | Psychology | Interested to learn |
| Anne-Claire Bouton | Econ/data science | To improve my R skills |
| Souhayel Hedfi | CHSR Herston - health econ. | To see the useless yet cool participations |
| Rio Button | School of the Environment | to learn / get a secound opinion/ watch |
Votes for Coolest and Most Useless RUG
| Nick | Cameron | Lauren | David |
|---|---|---|---|
| XIIxi## | iIXIIx | I |
Questions
Q1 - How to tell R in my model that I have repeated measurements: a bit of background
I have this model - my supervisor uses sas and and sas you can tell the model the experimental unit
summary(lmer(log_Grazing_Percentage ~ Period + Count_RSSI_GE_Minus50 + Period:Count_RSSI_GE_Minus50 + (1 + Count_RSSI_GE_Minus50 | Animal_id:Period), data = fp)) Fixed effects: Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.274369 0.057739 36.627445 22.071 <2e-16 ** Period -0.012289 0.035668 33.633624 -0.345 0.7326
Count_RSSI_GE_Minus50 0.006682 0.003264 473.393660 2.047 0.0412
Period:Count_RSSI_GE_Minus50 -0.003470 0.001700 459.550503 -2.041 0.0418 *
The problem I am having is that I want the df to be 26, not these others because they are all repeated measurements for the same 14 animals in 2 different periods. Is there a function that I can use so that R is a repeated measurement? Or say to R the Period and Animals they are the experimental unit?
Answers * Name: Answer