Please use this identifier to cite or link to this item:
http://ir.inflibnet.ac.in/handle/1944/2133
Title: | R: An Open Source Software Environment for Statistical Analysis |
Authors: | Patel, Yatrik Vaghela, Divyakant Solanki, Hitesh Vaidya, Mitisha |
Keywords: | Open Source Statistical Package R Language Statistical Analysis SPSS Data Mining Data Visualization |
Issue Date: | 1-Apr-2017 |
Publisher: | INFLIBNET Centre, Gandhinagar |
Series/Report no.: | 24;1 |
Abstract: | The research data and its efficient analysis play a vital role in successful research as well as in drawing meaningful inferences. Students, scholars, research institutes, Government and non-Government organizations around the World depend heavily on statistical and data analysis to carry out their research as well for taking decisions based on statistical analysis of data. Statistics plays a vital role in almost all domains of knowledge. This article provides an overview of various comprehensive, proprietary and non-proprietary statistical packages that are available in the market place for carrying out statistical analyses on data such as SPSS, Stata, Minitab, SAS, etc. The article especially focuses on non-proprietary and open source statistical package called R, which is widely used in all research domains for statistical analysis, data mining and data visualization across the world. |
URI: | http://hdl.handle.net/1944/2133 |
ISSN: | 0971-9849 |
Appears in Collections: | INFLIBNET Newsletter's Articles |
Files in This Item:
File | Description | Size | Format | |
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INFLIBNET NEWSLETTER Vol.24 No. 1 (January-March 2017).pdf | 734.01 kB | Adobe PDF | View/Open |
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