Function reference • multiverse

Package overview

Overview of multiverse.

multiverse-package: 'Explorable Multiverse' Data Analysis and Reports in R

Defining and running a multiverse analysis

Creating and adding code to the multiverse object for concise multiverse analysis

multiverse() is_multiverse() is.multiverse(): Create a new multiverse object

branch: Define multiple analysis paths for a step in the multiverse

inside(): Pass code into the multiverse

%when%: Define constraints for combinations of analysis paths in the multiverse

Interacting with the multiverse

Interact and inspect the multiverse to get an overview of the different branches / analysis combinations defined

`$`(<multiverse>) `$<-`(<multiverse>) expand() size() code() parameters() conditions() extract_variable_from_universe(): Accessing contents of the multiverse object

print(<multiverse>): Accessing contents of the multiverse object

extract_variables(): Extract variables and objects from the multiverse

mulitiverse_code_block: Create custom code blocks for multiverse analysis

Executing the multiverse

Execute specific or the entire multiverse

execute_multiverse() execute_universe(): Execute parts of, or the entire multiverse

Multiverse internals

Internals functions for processing the multiverse

parse_multiverse(): Parse the multiverse syntax to identify branches

get_code(): Code corresponding to a single analysis

style_multiverse_code(): Stylises the code of multiverse for printing

Datasets

Datasets that have been used in previous and current examples of multiverse analysis

durante: Survey to study the effect of fertility on religiosity and political attitudes

userlogs: Userlogs

hurricane: Survey to study the effect of fertility on religiosity and political attitudes

vis_correlation: Participants responses in the study by Harrison et al., "Ranking Visualizations of correlation according to Weber's law"