add_preprocess {multitool} | R Documentation |
Add arbitrary preprocessing code to a multiverse analysis pipeline
Description
Add arbitrary preprocessing code to a multiverse analysis pipeline
Usage
add_preprocess(.df, process_name, code)
Arguments
.df |
The original |
process_name |
a character string. A descriptive name for what the preprocessing step accomplishes. |
code |
the literal code you would like to execute after data are
filtered. The code should be written to work with pipes (i.e., |
Value
a data.frame
with three columns: type, group, and code. Type
indicates the decision type, group is a decision, and the code is the
actual code that will be executed. If part of a pipe, the current set of
decisions will be appended as new rows.
Examples
library(tidyverse)
library(multitool)
the_data <-
data.frame(
id = 1:500,
iv1 = rnorm(500),
iv2 = rnorm(500),
iv3 = rnorm(500),
mod1 = rnorm(500),
mod2 = rnorm(500),
mod3 = rnorm(500),
cov1 = rnorm(500),
cov2 = rnorm(500),
dv1 = rnorm(500),
dv2 = rnorm(500),
include1 = rbinom(500, size = 1, prob = .1),
include2 = sample(1:3, size = 500, replace = TRUE),
include3 = rnorm(500)
)
the_data |>
add_filters(include1 == 0,include2 != 3,include2 != 2, include3 > -2.5) |>
add_variables("ivs", iv1, iv2, iv3) |>
add_variables("dvs", dv1, dv2) |>
add_variables("mods", starts_with("mod")) |>
add_preprocess("scale_iv", 'mutate({ivs} = scale({ivs}))')