View source: R/describe-pipeline.R
detect_multiverse_n | R Documentation |
Detect total number of analysis pipelines
detect_multiverse_n(.pipeline, include_models = TRUE)
.pipeline |
a |
include_models |
Whether to count alternative models if you have more
than one |
a numeric, the total number of unique analysis pipelines
library(tidyverse)
library(multitool)
# create some data
the_data <-
data.frame(
id = 1:500,
iv1 = rnorm(500),
iv2 = rnorm(500),
iv3 = rnorm(500),
mod = 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)
)
# create a pipeline blueprint
full_pipeline <-
the_data |>
add_filters(include1 == 0, include2 != 3, include3 > -2.5) |>
add_variables(var_group = "ivs", iv1, iv2, iv3) |>
add_variables(var_group = "dvs", dv1, dv2) |>
add_model("linear model", lm({dvs} ~ {ivs} * mod))
detect_multiverse_n(full_pipeline)
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