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In the updated ashr I guess the function was renamed to comp_postprob, but it also takes in a different number of parameters such that when I tried the above after changing line 129 in vash.R with the updated function name and rebuilding I got the following error:
Since comp_postprob takes in 2 variables, comp_postprob(m (mixture distriubtion with k components), data) I tried changing line 129 of vash.R to:
postpi.se[completeobs,] = t(comp_postprob(mix.fit$g, sehat[completeobs]))
and got the error
Error in data$x : $ operator is invalid for atomic vectors .
Could you trouble-shoot this code for the updated ashr version?
The text was updated successfully, but these errors were encountered:
@mengyin@stephens999 Great! Thanks. I'll check it out. I am trying to use the adaptive shinkage for RNA-Seq data without normalizing for library size since I am putting the data into a model that accounts for library size but not gene dispersion. Is there a function in the vashr or ashr package that allows me retrieve the adjusted count data?
Hi there,
There seems to be a versioning issue with ashr_2.1-25 for the function comppostprob. I was running the RNA-Seq part of your vignette and when I ran:
I got the error:
In the updated ashr I guess the function was renamed to comp_postprob, but it also takes in a different number of parameters such that when I tried the above after changing line 129 in vash.R with the updated function name and rebuilding I got the following error:
Since comp_postprob takes in 2 variables, comp_postprob(m (mixture distriubtion with k components), data) I tried changing line 129 of vash.R to:
postpi.se[completeobs,] = t(comp_postprob(mix.fit$g, sehat[completeobs]))
and got the error
Could you trouble-shoot this code for the updated ashr version?
The text was updated successfully, but these errors were encountered: