Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Ilhami Visne, Ahmet Yildiz, Ekran Dilaveroglu, Klemens Vierlinger, Christa Nöhammer, Friedrich Leisch, Albert Kriegner
Title: speedR: An R Package for Interactive Data Import, Filtering and Ready-to-Use Code Generation
Abstract: Emerging technologies in the experimental sciences have opened the way for large-scale experiments. Such experiments generate ever growing amounts of data from which researchers need to extract relevant pieces for subsequent analysis. R offers a great environment for statistical analysis. However, due to the diversity of possible data sources and formats, data preprocessing and import can be time consuming especially with data that require user interaction such as editing, filtering or formatting. Writing a code for these tasks can be time-consuming, error prone and rather complex. We present speedR, an R-package for interactive data import, filtering and code generation in order to address these needs. Using speedR, researchers can import new data, make basic corrections, examine current R session objects, open them in the speedR environment for filtering (subsetting), put the filtered data back into R, and even create new R functions with applied import and filtering constraints to speed up their productivity.

Page views:: 6004. Submitted: 2010-12-30. Published: 2012-10-22.
Paper: speedR: An R Package for Interactive Data Import, Filtering and Ready-to-Use Code Generation     Download PDF (Downloads: 7366)
speedR_1.1-38.tar.gz: R source package Download (Downloads: 499; 164KB)
speedRlibs_1.1-35.tar.gz: R source package (with Java libraries) Download (Downloads: 693; 17MB)
speedRlibTF_0.3-35.tar.gz: R source package (with table filter library) Download (Downloads: 507; 212KB)
v51i02.R: R example code from the paper Download (Downloads: 523; 630B)
targets.txt: Example data in ASCII format Download (Downloads: 733; 5KB) ZIP archive with Java source code Download (Downloads: 583; 18MB)

DOI: 10.18637/jss.v051.i02

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.