Audio Book Getting Started with R: An Introduction for Biologists with FREE EASY Reading Download Now!

 4,7

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Audio Book Getting Started with R: An Introduction for Biologists with FREE EASY Reading Download Now!

R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on their ultimate goals: clearly communicating their data in oralpresentations, posters, papers, and reports. It provides a consistent workflow for using R that is simple, efficient, reliable, and reproducible.This second edition has been updated and expanded while retaining the concise and engaging nature of its predecessor, offering an accessible and fun introduction to the packages dplyr and ggplot2 for data manipulation and graphing. It expands the set of basic statistics considered in the first edition to include new examples of a simple regression, a one-way and a two-way ANOVA. Finally, it introduces a new chapter on the generalised linear model.Getting Started with R is suitable for undergraduates, graduate students, professional researchers, and practitioners in the biological sciences.

At this time of writing, The Mobi Getting Started with R: An Introduction for Biologists has garnered 9 customer reviews with rating of 5 out of 5 stars. Not a bad score at all as if you round it off, it’s actually a perfect TEN already. From the looks of that rating, we can say the Mobi is Good TO READ!

Audio Book Getting Started with R: An Introduction for Biologists with FREE EASY Reading!

This is THE best book out there for biologists (and others who do data science, I'd think) who want to get up to speed in R. The book is very efficient, funny, smart, and yes, actually fun! I highly recommend using the 2017 2nd edition which is based on Harvey Wickham's packages including dplyr and ggplot2, which are more effective and easier to learn than base R, and are becoming the norm for R users. I both use R and teach it, and I've used many different books and online courses, but if you only have time for one source this should be it.

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