press: Run setup code and benchmarks across a grid of parameters

View source: R/press.R

pressR Documentation

Run setup code and benchmarks across a grid of parameters


press() is used to run mark() across a grid of parameters and then press the results together.

The parameters you want to set are given as named arguments and a grid of all possible combinations is automatically created.

The code to setup and benchmark is given by one unnamed expression (often delimited by ⁠\{⁠).

If replicates are desired a dummy variable can be used, e.g. rep = 1:5 for replicates.


press(..., .grid = NULL)



If named, parameters to define, if unnamed the expression to run. Only one unnamed expression is permitted.


A pre-built grid of values to use, typically a data.frame or tibble. This is useful if you only want to benchmark a subset of all possible combinations.


# Helper function to create a simple data.frame of the specified dimensions
create_df <- function(rows, cols) {
    replicate(cols, runif(rows, 1, 1000), simplify = FALSE),
    rep_len(c("x", letters), cols)))

# Run 4 data sizes across 3 samples with 2 replicates (24 total benchmarks)
  rows = c(1000, 10000),
  cols = c(10, 100),
  rep = 1:2,
    dat <- create_df(rows, cols)
      min_time = .05,
      bracket = dat[dat$x > 500, ],
      which = dat[which(dat$x > 500), ],
      subset = subset(dat, x > 500)

bench documentation built on May 4, 2023, 5:13 p.m.