Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysis during the last decade has been the growth of open source software. The open source statistics and
Getting started with R: an introduction for biologists
โ Scribed by Beckerman, Andrew P.;Childs, Dylan Z.;Petchey, Owen L
- Publisher
- Oxford University Press.
- Year
- 2017
- Tongue
- English
- Leaves
- 124
- Edition
- Second edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also adding guidance on the use of more complex statistical analyses and tools.
โฆ Table of Contents
Preface1: Getting and getting acquainted with R2: Getting your data into R3: Data management, manipulation, and exploration with dplyr4: Visualising your data5: Introducing statistics in R6: Advancing your statistics in R7: Getting started with generalised linear models8: Pimping your plots: scales and themes in ggplot29: Closing remarksAppendices
โฆ Subjects
Langages de programmation;Mathematical statistics--Data processing;R (Computer program language);R (logiciel);Statistique--Logiciels;Mathematical statistics -- Data processing;Statistique -- Logiciels
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