𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Statistical Analysis with R: Take control of your data and produce superior statistical analysis with R

✍ Scribed by John M. Quick


Publisher
Packt Publishing
Year
2010
Tongue
English
Leaves
450
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


R is a data analysis tool, graphical environment, and programming language. Without any prior experience in programming or statistical software, this book will help you quickly become a knowledgeable user of R. Now is the time to take control of your data and start producing superior statistical analysis with R. This book will take you on a journey as the strategist for an ancient Chinese kingdom. Along the way, you will learn how to use R to arrive at practical solutions and how to effectively communicate your results. Ultimately, the fate of the kingdom depends on your ability to make informed, data-driven decisions with R.


πŸ“œ SIMILAR VOLUMES


Statistical Analysis of Microbiome Data
✍ Yinglin Xia, Jun Sun, Ding-Geng Chen πŸ“‚ Library πŸ“… 2018 πŸ› Springer 🌐 English

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer program

Statistical Analysis Of Network Data Wit
✍ Eric D. Kolaczyk, GΓ‘bor CsΓ‘rdi πŸ“‚ Library πŸ“… 2020 πŸ› Springer 🌐 English

The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from b

Statistical Analysis of Network Data wit
✍ Eric D. Kolaczyk, GΓ‘bor CsΓ‘rdi (auth.) πŸ“‚ Library πŸ“… 2014 πŸ› Springer-Verlag New York 🌐 English

<p><p>Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going bac

Statistical Data Analysis Explained: App
✍ Clemens Reimann, Peter Filzmoser, Robert Garrett, Rudolf Dutter πŸ“‚ Library πŸ“… 2008 πŸ› Wiley 🌐 English

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics i