Titlebook: Beginning R; An Introduction to S Joshua F. Wiley,Larry A. Pace Book 2015Latest edition Larry Pace and Joshua Wiley 2015

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,Ma?nahmen: Validieren und Freigeben,Throughout the book we used quite a few graphs to help you visualize and understand data, but we never went through them systematically. In this . chapter, we will show you how to make a number of different kinds of common graphs in R (most of which you have not seen yet, though for completeness we duplicate one or two).

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Chapter 3: Input and Output,As a scripting language, R is perhaps not as flexible as Python or other languages, but as a statistical language, R provides all of the basic input and output capabilities that an average user is likely to need. In ., you will learn how to get data into R and how to get output from R in the form and format you desire.

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Chapter 7: Working with Tables,Tables are very useful for summarizing data. We can use tables for all kinds of data, ranging from nominal to ratio. In ., you will learn how to use tables to create frequency distributions and cross-tabulations as well as how to conduct chi-square tests to determine whether the frequencies are distributed according to some null hypothesis.

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Chapter 17: Data Visualization Cookbook,Throughout the book we used quite a few graphs to help you visualize and understand data, but we never went through them systematically. In this . chapter, we will show you how to make a number of different kinds of common graphs in R (most of which you have not seen yet, though for completeness we duplicate one or two).

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,Chapter 1: Getting Star?ted,erts maintains the language. R is accurate, produces excellent graphics, has a variety of built-in functions, and is both a functional language and an object-oriented one. There are (literally) thousands of contributed packages available to R users for specialized data analyses.

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