Learn R for applied statistics:
Hui, Eric Goh Ming
Learn R for applied statistics: with data visualizations, regressions, and statistics - 2nd - New York Apress 2020 - xv, 243 p.
About this book
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.
9781484246344
Machine learning
R (Computer program language)
Statistics
Data mining
Open source software
519.502855362 / HUI
Learn R for applied statistics: with data visualizations, regressions, and statistics - 2nd - New York Apress 2020 - xv, 243 p.
About this book
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.
9781484246344
Machine learning
R (Computer program language)
Statistics
Data mining
Open source software
519.502855362 / HUI