Package for R

Exploratory tools for complex datasets with R

The package xplR contains diverse basic mathematical and graphical functions wrote to facilitate the exploration of complex datasets (multiple variables and factors as data obtained by e.g NGS and omics approaches). The aims of this package is to save time of R users giving us a global and quick overview of their dataset (means, standard deviations and errors tables; boxplot, barplot and/or lineplot figures of >=1 variables among >=1 factors).

xplR also provides functions that export table in .csv file and figures in .pdf file.

A specific function named xplr.report provide a complete html report of your dataset analysis.

Package will be quickly available on the R Cran. For now do not hesitate to ask us a beta Version of our package if you interest.

Authors

Cecile GRACIANNE

Kevin HIDALGO

Postdoctoral researcher at the French national research institute in agronomy (INRA). I study the ecophysiological mechanisms underpinning species survival under abiotic stress (temperature, salinity, pesticides). Because I was many times confronted to complexe datasets (>10 variables and factors) as obtained with “omic” tools (e.g. metabolomic, transcriptomic, genomic, proteomic…), I built the xplR package with Cécile Gracianne to facilitate R user’s life to explore their raw data. In my view, the aim of this package is to give easier ways to quickly overview result trends, indetify outliers and create first figures and tables.

Web site of K. Hidalgo: http://kevinhidalgo9.wixsite.com/research

Mail contact: kevin.hidalgo@gmx.com

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