Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics Pdf is now available to download for free, this book is written by Eric Goh Ming Hui. Profit the R programming language principles for doing the employed statistics useful for data mining and analysis from data science and information exploration. This publication covers subjects which range from R syntax principles, descriptive data, and information visualizations into inferential statistics and regressions. After studying R’s syntax, you may work through information visualizations including histograms and boxplot charting, descriptive statistics, and inferential data like t-test, chi-square test, ANOVA, non-parametric evaluation, and linear regressions.
Learn R Applied Statistics is a timely skills-migration publication that provides you with all the R programming principles and introduces one to applied data for information explorations. What You’ll Learn Discover R, data, information engineering, information mining, and large data Master the Essentials of R programming, such as variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Function with descriptive data Produce data visualizations, such as bar graphs, line graphs, scatter plots, boxplots, histograms, and scatterplots Usage inferential statistics such as t-tests, chi-square tests, ANOVA, non-parametric evaluations, linear regressions, and multiple linear regressions
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