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<code>prepdat</code>- An <code>R</code> Package for Preparing Experimental Data for Statistical Analysis
Author(s) -
Ayala S. Allon,
Roy Luria
Publication year - 2016
Publication title -
journal of open research software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 6
ISSN - 2049-9647
DOI - 10.5334/jors.134
Subject(s) - computer science , merge (version control) , trimming , speedup , code (set theory) , table (database) , parallel computing , programming language , operating system , arithmetic , database , mathematics , set (abstract data type)
In many research fields the outcome of running an experiment is a raw data file for each subject, containing a table in which each row describes one trial conducted during the experiment. The next step is to merge all files into one big table, and then aggregate it into one finalized table in which each row corresponds (usually) to the averaged performance of each subject. prepdat- An R package- enables to easily perform these steps, including several possibilities for dependent measures and trimming procedures. prepdat helps researchers to optimize and speedup their analysis, and to better understand the results

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