Title

Introduction to the Popular Open Source Statistical Software (OSSS)

Authors

Zhijian Wu, New York UniversityFollow
Zichen Zhao, Yale University
Gao Niu, Bryant UniversityFollow

Document Type

Book Chapter

Comments

Is part of Open Source Software for Statistical Analysis of Big Data

Keywords

python; open source software (OSS); integrated development environment (IDE); JASP; Graphic User Interface; SOFA statistics; KNIME; PSPP (software); R (programming language); Scilab (software); Gretl; General Public License

Identifier Data

https://doi.org/10.4018/978-1-7998-2768-9

Publisher

IGI Global

Publication Source

Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities

Abstract

This chapter first introduces the two most popular Open Source Statistical Software (OSSS), R and Python, along with their Integrated Development Environment (IDE) and Graphical User Interface (GUI). Secondly, additional OSSS, such as JASP, PSPP, GRETL, SOFA Statistics, Octave, KNIME, and Scilab, will also be introduced in this chapter with function descriptions and modeling examples. The chapter intends to create a reference for readers to make proper selection of the Open Source Software when a statistical analysis task is in demand. The chapter describes software explicitly in words. In addition, working platform and selective numerical, descriptive, and analysis examples are provided for each software. Readers could have a direct and in-depth understanding of each software and its functional highlights.