R is the language of big data—a statistical programming language that helps describe, mine, and test relationships between large amounts of data. Author Barton Poulson shows how to use R to model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables. Challenge exercises with step-by-step solutions allow you to test your skills as you progress.
Topics include: Download http://rapidgator.net/file/bd7bb0cde459c63fa13f119ae797cb21/REssTRLD.rar.html http://ul.to/373jeymo
Installing R on your computer
Using the built-in datasets
Importing data
Creating bar and pie charts for categorical variables
Creating histograms and box plots for quantitative variables
Calculating frequencies and descriptives
Transforming variables
Coding missing data
Analyzing by subgroups
Creating charts for associations
Calculating correlations
Creating charts and statistics for three or more variables
Creating crosstabs for categorical variables
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