Package: mrap 1.0.1

Markus Stocker
mrap: Machine-Readable Data Analysis Results with Function Wrappers
You can use the set of wrappers for analytical schemata to reduce the effort in writing machine-readable data. The set of all-in-one wrappers will cover widely used functions from data analysis packages.
Authors:
mrap_1.0.1.tar.gz
mrap_1.0.1.tar.gz(r-4.7-any)mrap_1.0.1.tar.gz(r-4.6-any)
mrap_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mrap/json (API)
| # Install 'mrap' in R: |
| install.packages('mrap', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/tibhannover/lki
Last updated from:4a0ed4796c. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 128 | ||
| source / vignettes | OK | 157 | ||
| linux-release-x86_64 | OK | 138 | ||
| wasm-release | OK | 145 |
Exports:algorithm_evaluationclass_discoveryclass_predictioncorrelation_analysisdata_analysisdescriptive_statisticsfactor_analysisgroup_comparisonmultilevel_analysisregression_analysisstats_aovto_jsonld
Dependencies:askpassclicurldtreggluehttr2jsonlitelifecyclemagrittropensslR6rappdirsrlangstringistringrsysvctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create an algorithm_evaluation instance | algorithm_evaluation |
| Create a class_discovery instance | class_discovery |
| Create a class_prediction instance | class_prediction |
| Create a correlation_analysis instance | correlation_analysis |
| Create a data_analysis instance | data_analysis |
| Create a descriptive_statistics instance | descriptive_statistics |
| Create a factor_analysis instance | factor_analysis |
| Create a group_comparison instance | group_comparison |
| Create a multilevel_analysis instance | multilevel_analysis |
| Create a regression_analysis instance | regression_analysis |
| Wrap stats::aov function | stats_aov |
| Write an instance in JSON-LD format | to_jsonld |