[R-meta] PET-PEESE Question
Tori Peña
Tor|@Pen@ @end|ng |rom @tonybrook@edu
Tue Dec 5 23:59:31 CET 2023
Hello,
Thank you again for all your guidance.
I have been trying to conduct PET-PEESE analyses on several rma.mv objects
by adding variance as a moderator. The following code works well:
#pet-peese test
m_1_pet <- rma.mv(yi = yi,
V = vi,
mods = ~ vi,
slab = STUDY.ID,
data = Relationship_TE_Occurrence,
random = ~ 1 | STUDY.ID/EFFECT_SIZE_ID,
test = "t",
method = "REML")
summary(m_1_pet, digits=3)
However, when I try to conduct the PEESE part I receive this error message:
"Model matrix not of full rank. Cannot fit model" for the following code:
Relationship$SE_Mod <- Relationship$vi^2
m_1_peese <- rma.mv(yi = yi,
V = vi,
mods = ~ SE_Mod,
slab = STUDY.ID,
data = Relationship_TE_Occurrence,
random = ~ 1 | STUDY.ID/EFFECT_SIZE_ID,
test = "t",
method = "REML")
summary(m_1_peese, digits=3)
Does anyone have any insight into why the model would fit for the PET part
but not the PEESE? I'm not sure how to fix this issue.
Thanks,
Tori
--
*Tori Peña, Ph.D. *(she/her/ella)
Cognitive Psychology
Dept. of Psychology
Stony Brook University
Stony Brook, NY 11790-2500
[image: Stony Brook University logo]
[[alternative HTML version deleted]]
More information about the R-sig-meta-analysis
mailing list