9781909832077-1909832073-An Introduction To Basic Statistics For Biologists Using R (Practical Statistics for Biologists Workbooks)

An Introduction To Basic Statistics For Biologists Using R (Practical Statistics for Biologists Workbooks)

ISBN-13: 9781909832077
ISBN-10: 1909832073
Edition: Annotated
Author: Colin D. MacLeod, Ross Macleod
Publication date: 2020
Publisher: Pictish Beast Publications
Format: Paperback 244 pages
FREE US shipping
Rent
35 days
from $22.46 USD
FREE shipping on RENTAL RETURNS
Buy

From $30.81

Rent

From $22.46

Book details

ISBN-13: 9781909832077
ISBN-10: 1909832073
Edition: Annotated
Author: Colin D. MacLeod, Ross Macleod
Publication date: 2020
Publisher: Pictish Beast Publications
Format: Paperback 244 pages

Summary

An Introduction To Basic Statistics For Biologists Using R (Practical Statistics for Biologists Workbooks) (ISBN-13: 9781909832077 and ISBN-10: 1909832073), written by authors Colin D. MacLeod, Ross Macleod, was published by Pictish Beast Publications in 2020. With an overall rating of 4.5 stars, it's a notable title among other Introductory & Beginning (Programming, Biology, Biological Sciences, Workbooks, Study Guides & Workbooks) books. You can easily purchase or rent An Introduction To Basic Statistics For Biologists Using R (Practical Statistics for Biologists Workbooks) (Paperback) from BooksRun, along with many other new and used Introductory & Beginning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.3.

Description

This is the first volume in the Practical Statistics for Biologists Workbooks series. It provides biologists with an easy-to-follow introduction to conducting statistical analysis in R. It does this through a series of practical exercises based on easy-to-follow flow diagrams that show biologists exactly how to do a variety of key tasks.

These include: 1. Importing data sets and preparing them for analysis; 2. Creating graphs from them; 3. Assessing and transforming their distributions; 4. Using statistics to compare data between groups; 5. Conducting correlations and regressions.

Together, these represent the key tasks biologists need to be able to carry out to start analysing their data using R. This means it provides the perfect practical introduction for any biologist interested in learning how to use R to do statistics.

This book is also well-suited to act as a course text for those who wish to teach introductory statistics courses using R to undergraduate, masters or postgraduate students in any biological field. This is because it not only provides a practical guide suitable for accompanying the teaching of statistical theory, it also provides off-the-shelf exercises, complete with suitable data sets, that can be used as the basis for practical classes.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book