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Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R
Resource Information
The work ** Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R** represents a distinct intellectual or artistic creation found in **University of Missouri Libraries**. This resource is a combination of several types including: Work, Language Material, Books.

The Resource
Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R
Resource Information

The work

**Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R**represents a distinct intellectual or artistic creation found in**University of Missouri Libraries**. This resource is a combination of several types including: Work, Language Material, Books.- Label
- Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R

- Title remainder
- beginner's guide : take control of your data and produce superior statistical analyses with R

- Statement of responsibility
- John M. Quick

- Title variation
- Take control of your data and produce superior statistical analyses with R

- Language
- eng

- Summary
- Annotation

- Cataloging source
- N$T

- Dewey number
- 519.50285/5133

- Illustrations
- illustrations

- Index
- index present

- LC call number
- QA276.45.R3

- LC item number
- Q535 2010eb

- Literary form
- non fiction

- Nature of contents
- dictionaries

- Summary expansion
- This is a practical, step by step guide that will help you to quickly become proficient in the data analysis using R. The book is packed with clear examples, screenshots, and code to carry on your data analysis without any hurdle. If you are a data analyst, business or information technology professional, student, educator, researcher, or anyone else who wants to learn to analyze the data effectively then this book is for you. No prior experience with R is necessary. Knowledge of other programming languages, software packages, or statistics may be helpful, but is not required

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