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UNIVERSITY OF AGRICULTURAL SCIENCES

Introductory R for beginners Baidya Nath Mandal

By: Mandal, Baidya NathMaterial type: TextTextLanguage: English Publisher: New Delhi : Brillion Publishing, 2017Description: xiii, 273 p. : 23 cmISBN: 9788193222676; 8193222679DDC classification: 620.0042
Contents:
Introduction -- Functions in R -- R packages -- Reading and writing data -- Data manipulation using R -- Descriptive statistics using R -- Graphs and plots in R -- Probability distributions in R -- Tests of hypothesis in R -- Regression analysis in R -- Analysis of designed experiments -- Multivariate analysis in R -- Creating an R package under windows.
Summary: This book is a complete beginner's guide to using and learning R. It covers topics on downloading and installing R, using R functions, creating R functions and using R packages. The book discusses how to read data into R and then how to use R for various data manipulation purposes. Computing descriptive statistics and statistical test of hypotheses are also discussed at length using R.Summary: Advanced statistical topics such as regression analysis, analysis of data from designed experiments and multivariate analysis techniques are also described. At the end there is a chapter on creating R package. All the chapters contain a number of R codes with examples for clear understanding.
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Introduction -- Functions in R -- R packages -- Reading and writing data -- Data manipulation using R -- Descriptive statistics using R -- Graphs and plots in R -- Probability distributions in R -- Tests of hypothesis in R -- Regression analysis in R -- Analysis of designed experiments -- Multivariate analysis in R -- Creating an R package under windows.

This book is a complete beginner's guide to using and learning R. It covers topics on downloading and installing R, using R functions, creating R functions and using R packages. The book discusses how to read data into R and then how to use R for various data manipulation purposes. Computing descriptive statistics and statistical test of hypotheses are also discussed at length using R.

Advanced statistical topics such as regression analysis, analysis of data from designed experiments and multivariate analysis techniques are also described. At the end there is a chapter on creating R package. All the chapters contain a number of R codes with examples for clear understanding.

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