Titlebook: R Recipes; A Problem-Solution A Larry A. Pace Book 2014 Larry Pace 2014

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Larry A. Paceew measurement techniques and Electric Power Quality is intended for graduate, postgraduate and researchers as well as for professionals in the related fields. .At the end, a chapter has been added which deals 978-94-007-3569-9978-94-007-0635-4Series ISSN 1612-1287 Series E-ISSN 1860-4676

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cal analysis..Packed with hundreds of code and visual recipe.R Recipes .is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly lear

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Working with Tables, This chapter expands on this and covers how to work with tables. We will start with simple frequency tables in which we summarize the frequencies of observations in each level of a categorical variable. We will then consider two-dimensional tables and higher-order tables. You will learn how to crea

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Probability Distributions,istributions in an appendix, but R provides a family of functions for both discrete and continuous probability functions, making the use of tables unnecessary. You have already seen the . function used to produce random numbers that simulate a normal distribution with a certain mean and standard dev

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Hypothesis Tests for Means, Ranks, or Proportions,how to do hypothesis tests for one sample, for two samples, and for three or more samples. We will include both parametric tests and nonparametric tests, illustrating each with appropriate data. The statistics functions in base R are usually adequate, but it is often helpful to use additional packag

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Contemporary Statistical Methods,statistical methods developed over the past half century. You have learned by now that statistics is not a static field, but a growing, dynamic, and evolving one. With modern technology, statisticians are able to perform calculations and analyses not previously available. The notion of sampling from

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Writing Reusable Functions,d capabilities not provided by the functions in base R or in contributed packages. Users are advised, however, to check CRAN (the Comprehensive R Archive Network) before they write a function, as it is very likely that someone else has encountered the same problem previously, and has already written