An edition of A beginner's guide to data exploration and visualisation with R
(2015)
A beginner's guide to data exploration and visualisation with R
by Elena N. Ieno
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"This book uses ecological datasets to discuss data exploration with visualisation tools. The authors also explain how to visualise the results of statistical models, an important aspect for publishing scientific papers. The book includes the R code needed to construct, visualise, and explore the main features of the data step by step."
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A beginner's guide to data exploration and visualisation with R
2015, Highland Statistics Ltd.
in English
0957174179 9780957174177
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Book Details
Table of Contents
Intoduction
Outliers
Normality and homogeneity
Relationships
Collinearity and confounding
Case study: methane fluxes
Case study: oystercatcher shell length
Case study: Hawaiian bird time series.
Edition Notes
Includes data sets and R code (password protected).
"A Beginner's Guide to Data Exploration and Visualisation with R is the fourth book in Highland Statistics' Beginner's Guide to ... series" -- Back cover.
Includes bibliographical references (pages [155]-158) and index.
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| December 20, 2022 | Created by MARC Bot | import new book |