A Primer in Biological Data Analysis and Visualization Using R / Gregg Hartvigsen.

Format:

Book

Author/Creator:

Hartvigsen, Gregg, author.

Language:

English

Subjects (All):

R (Computer program language).

Mathematical statistics--Data processing.

Mathematical statistics.

Physical Description:

1 online resource (404 p.)

Place of Publication:

New York, NY : Columbia University Press, [2014]

Language Note:

In English.

Summary:

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.

Contents:

Frontmatter

Contents

INTRODUCTION

CHAPTER 1. INTRODUCING OUR SOFTWARE TEAM

CHAPTER 2. GETTING DATA INTO R

CHAPTER 3. WORKING WITH YOUR DATA

CHAPTER 4. TELL ME ABOUT MY DATA

CHAPTER 5. VISUALIZING YOUR DATA

CHAPTER 6. THE INTERPRETATION OF HYPOTHESIS TESTS

CHAPTER 7. HYPOTHESIS TESTS: ONE- AND TWO-SAMPLE COMPARISONS

CHAPTER 8. TESTING DIFFERENCES AMONG MULTIPLE SAMPLES

CHAPTER 9. HYPOTHESIS TESTS: LINEAR RELATIONSHIPS

CHAPTER 10. HYPOTHESIS TESTS: OBSERVED AND EXPECTED VALUES

CHAPTER 11. A FEW MORE ADVANCED PROCEDURES

CHAPTER 12. AN INTRODUCTION TO COMPUTER PROGRAMMING

CHAPTER 13. FINAL THOUGHTS

ACKNOWLEDGMENTS

SOLUTIONS TO ODD-NUMBERED PROBLEMS

BIBLIOGRAPHY

INDEX

Notes:

Description based upon print version of record.

Pilot project,eBook available to selected US libraries only

Includes bibliographical references (pages [229]-230) and index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jul 2019)

ISBN:

9780231537049

0231537042

OCLC:

877868816