Profiling in R and Julia

library('tidyverse')

Profiling in R

• Explained on Posit Website

For example

library('profvis')
# help(package = 'profvis')
profvis({
  data(diamonds, package = "ggplot2")

  plot(price ~ carat, data = diamonds)
  m <- lm(price ~ carat, data = diamonds)
  abline(m, col = "red")
})

Flame Graph

Data

Options ▾

(Sources not available)

Sample Interval: 10ms

380ms

☒ Split horizontally

☒ Hide internal function calls

☐ Hide lines of code with zero time

☐ Hide memory results

profvis({
  rnorm(1e5)
  rnorm(1e6)
  rnorm(1e7)
  rnorm(1e8)
})

Flame Graph

Data

Options ▾

(Sources not available)

Sample Interval: 10ms

2830ms

☒ Split horizontally

☒ Hide internal function calls

☐ Hide lines of code with zero time

☐ Hide memory results