Including A Progress Bar In R

Kevin Feasel

2018-01-24

R

Peter Solymos has an update to his pbapply library:

The pbapply R package that adds progress bar to vectorized functions has been know to accumulate overhead when calling parallel::mclapply with forking (see this post for more background on the issue). Strangely enough, a GitHub issue held the key to the solution that I am going to outline below. Long story short: forking is no longer expensive with pbapply, and as it turns out, it never was.

H/T R-Bloggers

Related Posts

ElasticMapReduce And RStudio

Tanzir Musabbir demonstrates how to set up Amazon ElasticMapReduce to include an RStudio edge node: RStudio Server provides a browser-based interface for R and a popular tool among data scientists. Data scientist use Apache Spark cluster running on  Amazon EMR to perform distributed training. In a previous blog post, the author showed how you can install RStudio Server on Amazon […]

Read More

Mutating Data Frames Without dplyr

John Mount points out that there is a built-in function to mutate data frames in R: The notation we used above is the “explicit argument” variation we recommend for readability. What a lot of dplyr users do not seem to know is: base-R already has this functionality. The function is called transform(). To demonstrate this, let’s first detach dplyr to show that […]

Read More

Categories

January 2018
MTWTFSS
« Dec Feb »
1234567
891011121314
15161718192021
22232425262728
293031