NDLI: SLinRA2S: actively supporting regression analysis with R

Content Provider	Springer Nature Link
Author	Wu, Chien Ho Li, Jung Bin Chang, Tsair Yuan
Copyright Year	2014
Abstract	There is no doubt that acquiring high quality information is crucial to achieving effective decision makings. In general the production of information for a particular decision scenario at hand involves a process of analyzing data collected from various sources, using some statistical methods. The proper application of the chosen statistical methods for analysis in turn relates, in a large portion, to the quality of the information computed for the decision scenario. To ensure a consistent and sound application of statistical methods for data analysis we followed the idea of active support and designed a tentative data analysis assistor, SLinRA2S, which can guide a data analyst through the process of applying simple linear regression analysis on data sets stored as external files or in databases. SLinRA2S is implemented in Java on an open platform and it invokes R for statistical functions. Outputs from SLinRA2S were verified against outputs from SPSS for correctness and validity. The assistor not only promises the relief of a data analyst from computation errands but also contributes to the correct application of statistical methods to a degree. In the end, the assistor could contribute to the production of high quality business analytics.
Starting Page	309
Ending Page	328
Page Count	20
File Format	PDF
ISSN	16179846
Journal	Information Systems and e-Business Management
Volume Number	13
Issue Number	2
e-ISSN	16179854
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-10-29
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Linear regression R Java Active support SPSS IT in Business Information Systems Applications (incl. Internet) Management/Business for Professionals
Content Type	Text
Resource Type	Article
Subject	Information Systems

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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