E-Books →Sarah Stowell Using R For Statistics Apress 2014
Published by: Emperor2011 on 11-05-2022, 05:54 | 
0
Sarah Stowell Using R For Statistics Apress 2014 | 6.98 MB
English | 232 Pages
Title: Using R for Statistics
Author: Sarah Baldock
Year: 2014
Description:
Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations.
You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their appearance, perform hypothesis tests such as the t-tests and analyses of variance, and build regression models. Examples are built around actual datasets to simulate real-world solutions, and programming basics are explained to assist those who do not have a development background.
After reading and using this guide, you'll be comfortable using and applying R to your specific statistical analyses or hypothesis tests. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics.
DOWNLOAD:
https://uploadgig.com/file/download/7a395d83Ddfb499d/Sarah_Stowell_Using_R_For_Statistics_Apress_2014.rar
Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations.
You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their appearance, perform hypothesis tests such as the t-tests and analyses of variance, and build regression models. Examples are built around actual datasets to simulate real-world solutions, and programming basics are explained to assist those who do not have a development background.
After reading and using this guide, you'll be comfortable using and applying R to your specific statistical analyses or hypothesis tests. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics.
DOWNLOAD:
https://uploadgig.com/file/download/7a395d83Ddfb499d/Sarah_Stowell_Using_R_For_Statistics_Apress_2014.rar
Related News
-
{related-news}