R: An Open Source Software Environment for Statistical Analysis

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dc.contributor.authorPatel, Yatrik
dc.contributor.authorVaghela, Divyakant
dc.contributor.authorSolanki, Hitesh
dc.contributor.authorVaidya, Mitishaen_US
dc.date.accessioned2018-01-04T11:46:18Z
dc.date.available2018-01-04T11:46:18Z
dc.date.issued2017-04-01
dc.description.abstractThe 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.en_US
dc.identifier.issn0971-9849
dc.identifier.urihttp://hdl.handle.net/1944/2133
dc.language.isoenen_US
dc.publisherINFLIBNET Centre, Gandhinagaren_US
dc.relation.ispartofseries24;1
dc.subjectOpen Source Statistical Packageen_US
dc.subjectR Languageen_US
dc.subjectStatistical Analysisen_US
dc.subjectSPSSen_US
dc.subjectData Miningen_US
dc.subjectData Visualizationen_US
dc.titleR: An Open Source Software Environment for Statistical Analysisen_US
dc.typeArticleen_US

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