prepdat- An R Package for Preparing Experimental Data for Statistical Analysis

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...

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Bibliographic Details
Published in:Journal of open research software Vol. 4; no. 1; pp. 43 - e43
Main Authors: Allon, Ayala S., Luria, Roy
Format: Journal Article
Language:English
Published: Ubiquity Press Ltd 25.11.2016
Ubiquity Press
Subjects:
Algorithms
Data aggregation
Data analysis
Data manipulation
Experimental designs
Information management
Statistical methods
Technology application
Trimming procedures
ISSN:2049-9647, 2049-9647
Online Access:Get full text
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Description
Summary: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. Keywords: R, Data manipulation, Data aggregation, Data analysis, Trimming procedures, Experimental designs
ISSN:2049-9647
2049-9647
DOI:10.5334/jors.134