A Primer in Biological Data Analysis and
β Gregg Hartvigsen
π Library
π
2021
π Columbia University Press
π English
β¦ LIBER β¦
π
A Primer in Biological Data Analysis and Visualization Using R
β Scribed by Gregg Hartvigsen
- Publisher
- Columbia University Press
- Year
- 2021
- Tongue
- English
- Leaves
- 216
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
This text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. This second edition has been revised to be current with the versions of R software released since the bookβs original publication. It features updated terminology, sources, and examples throughout.
π SIMILAR VOLUMES
A Primer in Biological Data Analysis and
β Gregg Hartvigsen
π Library
π
2021
π Columbia University Press
π English
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsenβs extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introd
A Primer in Biological Data Analysis and
β Gregg Hartvigsen
π Library
π
2021
π Columbia University Press
π English
<p>This text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. This second edition has been revised to be current with the versions of R software released since the bookβs original publication. It features updated terminology, sources, and examples thro
A Primer in Biological Data Analysis and
β Gregg Hartvigsen
π Library
π
2014
π Columbia University Press
π English
<p>Drawing on Gregg Hartvigsenβs 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.</p>
A Primer in Biological Data Analysis and
β Gregg Hartvigsen
π Library
π
2014
π Columbia University Press
π English
<P>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 int
Biological Data Analysis Using R
β Dyer R.J.
π Library
π English
225 pages<br/>This manuscript has been partitioned into four separate sections. The first section introduces R as a language and a tool and covers some basic topics that are required to get one going. The next section contains eleven chapters that target some particular aspect of biological inquiry