The **futurize** package allows you to easily turn sequential code into parallel code by piping the sequential code to the `futurize()` function. Easy! # TL;DR ```r library(futurize) plan(multisession) library(ez) data(ANT) rt <- ezBoot( data = ANT, dv = rt, wid = subnum, within = .(cue, flank), between = group, iterations = 1e3 ) |> futurize() ``` # Introduction This vignette demonstrates how to use this approach to parallelize **[ez]** functions such as `ezBoot()`, `ezPerm()`, and `ezPlot2()`. The functions `ezBoot()`, `ezPerm()`, and `ezPlot2()` support parallel evaluation via the `parallel` argument. By piping to `futurize()`, you can leverage any future-based parallel backend for these computations. ## Example: Bootstrap resampling The `ezBoot()` function computes bootstrap resampled predictions for each cell in an experimental design. We can parallelize this as: ```r library(futurize) plan(multisession) library(ez) data(ANT) rt <- ezBoot( data = ANT, dv = rt, wid = subnum, within = .(cue, flank), between = group, iterations = 1e3 ) |> futurize() ``` This will distribute the bootstrap iterations across the available parallel workers. ## Example: Permutation testing The `ezPerm()` function performs a non-parametric factorial permutation test, and can be parallelized as: ```r library(futurize) plan(multisession) library(ez) library(plyr) data(ANT) cell_stats <- ddply( .data = ANT, .variables = .(subnum, group, cue, flank), .fun = function(x) { data.frame(mrt = mean(x$rt[x$error == 0])) } ) gmrt <- ddply( .data = cell_stats, .variables = .(subnum, group), .fun = function(x) { data.frame(mrt = mean(x$mrt)) } ) mean_rt_perm <- ezPerm( data = gmrt, dv = mrt, wid = subnum, between = group, perms = 1e3 ) |> futurize() ``` # Supported Functions The following **ez** functions are supported by `futurize()`: * `ezBoot()` with `seed = TRUE` as the default * `ezPerm()` with `seed = TRUE` as the default * `ezPlot2()` [ez]: https://cran.r-project.org/package=ez [other parallel backends]: https://www.futureverse.org/backends.html