R: Fast, Reliable and Elegant Reproducible Research

# Fast, Reliable and Elegant Reproducible Research

## Documentation for package ‘exreport’ version 0.4.1

- DESCRIPTION file
- Package README

## Help Pages

expCombine | Combine two experiments with different outputs
expConcat | Concatenate rows of matching experiments
expCreate | Load data and create an exreport experiment
expCreateFromTable | Create an exreport experiment from a tabular representation
expExtend | Extend an experiment by adding new parameters
expExtract | Extract statistically equivalent methods from a multiple comparison test
expGetDuplicated | Create a new experiment with only the duplicated rows
expInstantiate | Instatiate the methods in the experiment for each one of the different parameter configurations.
expReduce | Reduce a parameter by a function for each method, problem and remaining parameter configuration interaction
expRemoveDuplicated | Remove duplicated rows from an experiment
expRename | Change the name of elements that an experiment contains
expReorder | Change the order of elements that an experiment contains
expSubset | Obtains a subset of an experiment matching the given conditions
exreport | Create a new exreport document
exreportAdd | Add elements to an existing exreport document
exreportRender | Render an exreport document
plotCumulativeRank | Area plot for the rank distribution from a multiple test
plotExpSummary | Barplot for summarizing an experiment output variable
plotRankDistribution | Boxplot for the ranks distribution and control hypotheses from multiple test
tabularExpSummary | Summarize the experiment with a table for given outputs
tabularTestPairwise | Display pairwise information about a multiple test between the methods
tabularTestSummary | Summarize the result of a multiple comparison statistical test in a table
testMultipleControl | Multiple Comparison Statistical Test (Friedman + Control Holm PostHoc)
testMultiplePairwise | Multiple Comparison Statistical Test (Friedman + Pairwise Shaffer PostHoc)
testPaired | Paired Wilcoxon statistical test
wekaExperiment | Problem: Comparison between several Machine Learning algorithms from the Weka library