Package index
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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
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multiverse()
is_multiverse()
is.multiverse()
- Create a new multiverse object
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branch
- Define multiple analysis paths for a step in the multiverse
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inside()
- Pass code into the multiverse
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%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
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`$`(<multiverse>)
`$<-`(<multiverse>)
expand()
size()
code()
parameters()
conditions()
extract_variable_from_universe()
- Accessing contents of the multiverse object
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print(<multiverse>)
- Accessing contents of the multiverse object
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extract_variables()
- Extract variables and objects from the multiverse
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mulitiverse_code_block
- Create custom code blocks for multiverse analysis
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execute_multiverse()
execute_universe()
- Execute parts of, or the entire multiverse
Exporting results
Export the results of the multiverse. Some of the functions are designed to export the code, dataset, and results in a JSON format which is compatible with Milliways, an interactive visualisation tool for multiverse analysis
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export_results_json()
export_results_dist_json()
export_code_json()
export_data_json()
- Exporting results from a multiverse analysis to JSON
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parse_multiverse()
- Parse the multiverse syntax to identify branches
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get_code()
- Code corresponding to a single analysis
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style_multiverse_code()
- Stylises the code of multiverse for printing
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durante
- Survey to study the effect of fertility on religiosity and political attitudes
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userlogs
- Userlogs
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hurricane
- Survey to study the effect of fertility on religiosity and political attitudes
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vis_correlation
- Participants responses in the study by Harrison et al., "Ranking Visualizations of correlation according to Weber's law"