Comments (5)
Thanks, I also get that pbmclapply is slower. The difference changes depending on the settings (number of cores used). For anyone else that wants to reproduce, the following packages are used in the code:
library(ggplot2)
library(pbmcapply)
library(data.table)
library(zoo)
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Hi Chris and Scott,
Thanks for the feedback! I'll look into this when I get a chance (hopefully soon).
Happy holidays,
Kevin
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@chrit88 do you have code to reproduce the graph? I would like to try to reproduce.
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Hi Scott, see attached code.
Chris
pbmclapply.R.zip
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Hey, is there any update on this issue?
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Related Issues (20)
- mc.preschedule HOT 2
- progressBar() error after the 5/11/2018 update HOT 2
- Width calculation problems for short and long durations HOT 8
- Execution cannot be interrupted with Ctrl-C HOT 8
- provide a pbmcapply version of apply (not only mapply and lapply) HOT 3
- Object 'mcinteractive' not found HOT 9
- pbmclapply hangs if cores is undefined HOT 8
- Address "cannot wait for child %d as it does not exist" warning HOT 4
- not supported by MRO? HOT 1
- pbmcapply not showing in Rscript mode HOT 3
- Execution cannot be interrupted with Ctrl-C since ignore.interactive was added HOT 1
- reproducibility
- progressBar(max=0): throws error on 'missing value where TRUE/FALSE needed'
- Custom progress bar?
- If warning, return of pbmclapply has different return format if length of X is 1 HOT 1
- pbmclapply fails to return list where lapply, pbapply, and mclapply have no issue
- learning resources for possible contributor
- Issue with differing behaviour from mcapply
- WISH: Option for outputting progress bar to standard error (stderr)
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