Comments (2)
Hi,
For a data set that size I'd recommend running fastbaps. The "baps" prior in 'fastbaps
tends to give similar results to hierBAPS.
In your case it might be currently in one of the single threaded stages of the algorithm as it can run for quite a long time on large datasets.
from rhierbaps.
Yes, the job ended up taking about 12h, which I don't think would have been possible on a single core - so it must have ran in parallel eventually. (Sorry, I have no idea how to properly check if it ran on multiple cores in R/Rscript).
Thank you for your help & suggestions!
from rhierbaps.
Related Issues (20)
- hierBAPS Error in names HOT 3
- memory allocation problem HOT 1
- Error getting assignment probabilities HOT 1
- patch work HOT 2
- All levels and all partition in one group HOT 2
- Error in load alignment file. HOT 3
- Error in load alignment file
- Big fasta input can't be done. HOT 3
- Big data loading. HOT 1
- RAM and time to run on the included test data HOT 2
- Error when trying to plot the results HOT 6
- Random introduction of "-" HOT 4
- Devtools installation fail. WITH SOLUTION. HOT 1
- Issue installing/compiling RcppParallel dependency with clang HOT 1
- Problem read my multifasta HOT 3
- plot_sub_cluster font size HOT 2
- admixture plot HOT 2
- Admixture assignments HOT 1
- Speed-up r-hierbaps analysis HOT 2
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from rhierbaps.