R for business analytics
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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science+Business Media New York
Abstract
Description
1.Why R; 2.R Infrastructure; 3.R Interfaces
; 4.Manipulating Data; 5.Exploring Data; 6.Building Regression Models; 7.Data Mining Using R; 8. Clustering and Data Segmentation; 9.Forecasting and Time Series Models; 10.Data Export and Output; 11.Optimizing R Code; 12.Additional Training Literature