Learn R for Applied Statistics: With Data Visualizations,Regressions,and Statistics
Authors: Eric Goh Ming Hui
ISBN-10: 1484241991
ISBN-13: 9781484241998
Edition 版本: 1st ed.
Released: 2018-12-01
Print Length 页数: 243 pages
Book Description
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics,descriptive statistics,and data visualizations to inferential statistics and regressions. After learning R’s syntax,you will work through data visualizations such as histograms and boxplot charting,descriptive statistics,and inferential statistics such as t-test,chi-square test,ANOVA,non-parametric test,and linear regressions.
Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations.
What You Will Learn
Discover R,statistics,data science,data mining,and big data
Master the fundamentals of R programming,including variables and arithmetic,vectors,lists,data frames,conditional statements,loops,and functions
Work with descriptive statistics
Create data visualizations,including bar charts,line charts,scatter plots,boxplots,histograms,and scatterplots
Use inferential statistics including t-tests,chi-square tests,ANOVA,non-parametric tests,linear regressions,and multiple linear regressions
Cover
1.Introduction
2.Getting Started
3.Basic Syntax
4.Descriptive Statistics
5.Data Visualizations
6.Inferential Statistics and Regressions[/erphpdown]
