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mrap

100% AI-free: we did not use any AI technologies in developing this package.

The goal of mrap is to provide wrapper functions to reduce the user’s effort in writing machine-readable data with the dtreg package. Analytical wrappers facilitate writing the data with the schemata used by TIB Knowledge Loom. All-in-one wrappers (currently, mrap::stats_aov) will cover functions from stats and other well-known packages.

Installation

The easiest way is to install mrap from CRAN:

install.packages("mrap")

You can install the development version of mrap with:

# install.packages("devtools")
library(devtools)
devtools::install_gitlab("TIBHannover/lki/knowledge-loom/mrap-r", build_vignettes = TRUE)

Example

For instance, you conducted ANOVA on Iris data.

library(mrap)
attach(iris)
my_anova <- stats::aov(Petal.Length ~ Species, data = iris)
my_results <- summary(my_anova)[[1]]

On the help page, you see that the group_comparison schema should be used. Instead of writing the data manually with dtreg, use the group_comparison function from mrap. Arguments code_string, input_data, and test_results should be provided.

inst_gc <-
  mrap::group_comparison("stats::aov(Petal.Length ~ Species, data = iris)",
                         iris,
                         my_results)
my_json <- mrap::to_jsonld(inst_da)

Alternatively, you can use the all-in-one wrapper for stats::aov function. It returns the ANOVA results similar to the original function and a group_comparison instance:

aov <- mrap::stats_aov(Petal.Length ~ Species, data = iris)
results <- aov$anova
inst_gc <- aov$dtreg_object

The resulting group_comparison instance can be modified and included into the data_analysis instance. The final instance can be written as JSON-LD:

inst_gc$label <- "ANOVA for Iris petal length"
inst_da <- mrap::data_analysis(inst_gc)
my_json <- mrap::to_jsonld(inst_da)

For more information, please see the help page and the mrap vignette. To access the vignette, you can run:

vignette("mrap", package="mrap")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.