Hi,
Thanks for the wonderful package. I have single cell data on two groups (control and treatment) across 3 timepoints (T0, T1, T2) and I'm interested in seeing if there are proportional differences between the two groups across time ? I've been looking at your vignette with the PBMC data which looks into the effect of age and sex and I was thinking if the following design would be the appropriate way to do it
alltp= readRDS("alltp_integrated.RDS")
meta= alltp@meta.data %>% select(orig.ident,celltypes,Group,Timepoint)
prop_list <- getTransformedProps(
clusters = alltp$celltypes,
sample = alltp$orig.ident
)
sample_info <- meta %>%distinct(orig.ident, Group, Timepoint)
design_matrix <- model.matrix(~ 0+Group*Timepoint,data=sample_info)
res=propeller.anova(prop.list = prop_list,design = design_matrix,coef = 1:2)
I keep getting this error
Error in eBayes(fit[, coef[-1]], robust = robust, trend = trend) :
promise already under evaluation: recursive default argument reference or earlier problems?
Any idea on how to fix this issue or if there is a better way to do this ?
Thanks so much
Hi,
Thanks for the wonderful package. I have single cell data on two groups (control and treatment) across 3 timepoints (T0, T1, T2) and I'm interested in seeing if there are proportional differences between the two groups across time ? I've been looking at your vignette with the PBMC data which looks into the effect of age and sex and I was thinking if the following design would be the appropriate way to do it
I keep getting this error
Any idea on how to fix this issue or if there is a better way to do this ?
Thanks so much