Statistics and Data with R: An Applied Approach Through Examples
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Assuming no previous knowledge of statistics or R, the book includes: A comprehensive introduction to the R language. An integrated approach to importing and preparing data for analysis, exploring and analyzing the data, and presenting results.
Over examples, including detailed explanations of the R scripts used throughout. A parallel discussion of analyses with the normal density, proportions binomial , counts Poisson and bootstrap methods. Two extensive indexes that include references to every R function and its arguments and packages used in the book and to every introduced concept.
The website also features a solutions manual, providing answers to all of the exercises presented in the book. Students, researchers and practitioners will find this to be both a valuable learning resource in statistics and R and an excellent reference book.
Statistics And Data With R: An Applied Approach Through Examples
Statistics and Data with R : An applied approach through examples. N2 - R, an Open Source software, has become the de facto statistical computing environment. AB - R, an Open Source software, has become the de facto statistical computing environment. Statistics and Data with R An applied approach through examples.
Statistics and data with R
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