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＜p＞Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you???ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.＜/p＞ ＜p＞The second half of ＜em＞Learning R＜/em＞ shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you???ve learned, and concludes with exercises, most of which involve writing R code.＜/p＞ ＜ul＞ ＜li＞Write a simple R program, and discover what the language can do＜/li＞ ＜li＞Use data types such as vectors, arrays, lists, data frames, and strings＜/li＞ ＜li＞Execute code conditionally or repeatedly with branches and loops＜/li＞ ＜li＞Apply R add-on packages, and package your own work for others＜/li＞ ＜li＞Learn how to clean data you import from a variety of sources＜/li＞ ＜li＞Understand data through visualization and summary statistics＜/li＞ ＜li＞Use statistical models to pass quantitative judgments about data and make predictions＜/li＞ ＜li＞Learn what to do when things go wrong while writing data analysis code＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。
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