Learn R for Applied Statistics

With Data Visualizations, Regressions, and Statistics



Bookstore > Books > Learn R for Applied Statistics

Price$29.23 - $35.41
Rating
AuthorGoh Hui
PublisherApress
Published2019
Pages243
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101484241991
ISBN-139781484241998
EBook Hardcover Paperback

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.

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.





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