1. Learn
    2. /
  2. Courses
    3. /
  3. Parallel Programming in R

Exercise

Chunking the bootstrap

You are investigating how universities collaborate with each other for research and development. You have a list of a 100 data frames, ls_edu, in your workspace. Each data frame contains collaboration scores for universities in a given country.

You have also have the function, rating_quants() that calculates quantiles for the collaboration score for one data frame.

You have five cores available to do this calculation. You tried to apply rating_quants() to ls_edu using future_map_dfr(), but the computer ran out of RAM and your R session crashed. You have decided to use a chunk size of 35 so that no more than three bootstraps are run at a time. The furrr package is loaded for you.

Instructions

100 XP
  • Plan a multisession of five workers.
  • Make a configuration for future_map_dfr() functions and specify a chunk size of 35.
  • Supply this configuration to the correct argument of future_map_dfr().
  • Revert to a sequential plan.