drake (version 6.2.1)

plan_analyses: Generate a workflow plan data frame to analyze multiple datasets using multiple methods of analysis.

Description

Uses wildcards to create a new workflow plan data frame from a template data frame.

Usage

plan_analyses(plan, datasets, sep = "_")

Arguments

plan

workflow plan data frame of analysis methods. The commands in the command column must have the dataset__ wildcard where the datasets go. For example, one command could be lm(dataset__). Then, the commands in the output will include lm(your_dataset_1), lm(your_dataset_2), etc.

datasets

workflow plan data frame with instructions to make the datasets.

sep

character scalar, delimiter for creating the names of new targets

Value

An evaluated workflow plan data frame of analysis targets.

See Also

drake_plan(), map_plan(), reduce_by(), gather_by(), reduce_plan(), gather_plan(), evaluate_plan(), expand_plan(), plan_summaries()

Examples

# NOT RUN {
# Create the piece of the workflow plan for the datasets.
datasets <- drake_plan(
  small = simulate(5),
  large = simulate(50))
# Create a template for the analysis methods.
methods <- drake_plan(
  regression1 = reg1(dataset__),
  regression2 = reg2(dataset__))
# Evaluate the wildcards to create the part of the workflow plan
# encoding the analyses of the datasets.
ans <- plan_analyses(methods, datasets = datasets)
ans
# For the final workflow plan, row bind the pieces together.
my_plan <- rbind(datasets, ans)
my_plan
# }