per_sim: Work directly with simulation results with dplyr and tidyr

In statisfactions/simpr: Flexible 'Tidyverse'-Friendly Simulations

Work directly with simulation results with dplyr and tidyr

Description

Allows applying data transformations to every simulation result with syntax as if dealing with a single simulation result using dplyr and tidyr verbs

Usage

per_sim(obj)

Arguments

obj	A simpr_tibble or simpr_spec object.

Details

After producing simulation results (a simpr_tibble object), it is sometimes needed to do some data transformation to prepare for analysis. This can always be specified in specify through custom functions, but per_sim allows you to also easily specify this in your pipeline. After running per_sim, you can use the dplyr and tidyr verbs you would use on a single simulation result and it will be applied to all results.

If, after running per_sim, you wish to return to the default behavior to access simpr_tibble results as a tibble with a list_column for simulation results again, run whole_tibble.

Value

A simpr_sims object for use with dplyr and tidyr verbs.

Examples

## Often most convenient to specify simulations for 'wide' data
data_wide = specify(a = ~ runif(5, min = 0, max = 1),
                    b = ~ runif(5, min = 0, max = 2)) %>%
  generate(2)

data_wide

## Any dplyr or tidyr verbs can be applied after per_sim()
data_long = data_wide %>%
  per_sim() %>%
  pivot_longer(everything(), names_to = "name",
               values_to = "value")
data_long

## Now, ready for analysis
data_long %>%
  fit(lm = ~lm(value ~ name)) %>%
  tidy_fits

statisfactions/simpr documentation built on July 18, 2024, 6:44 a.m.