R for Business Analytics

• Main Author: Ohri, A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Subjects: Statistics.; Mathematical statistics.; Economics > Statistics.; Statistics, general.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistics and Computing/Statistics Programs.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-4343-8

R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages.� With this information the reader can select the packages that can help process the analytical tasks with minimum effort an...

Table of Contents:

• Why R
• R Infrastructure
• R Interfaces
• Manipulating Data
• Exploring Data
• Building Regression Models
• Data Mining using R
• Clustering and Data Segmentation
• Forecasting and Time-Series Models
• Data Export and Output
• Optimizing your R Coding
• Additional Training Literature
• Appendix.