speedR: An R Package for Interactive Data Import, Filtering and Ready-to-Use Code Generation

Ilhami Visne, Ahmet Yildiz, Ekran Dilaveroglu, Klemens Vierlinger, Christa Nöhammer, Friedrich Leisch and Albert Kriegner

Journal of Statistical Software, 2012, vol. 051, issue i02

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.

Date: 2012-10-22
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v051i02/v51i02.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... speedR_1.1-38.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... dRlibs_1.1-35.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... RlibTF_0.3-35.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v051i02/v51i02.R
https://www.jstatsoft.org/index.php/jss/article/do ... /v051i02/targets.txt
https://www.jstatsoft.org/index.php/jss/article/do ... 1i02/speedR-java.zip

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:051:i02

DOI: 10.18637/jss.v051.i02

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().