| Description |
x, 113 pages : illustrations ; 25 cm |
| Series |
Oxford biology |
|
Oxford biology.
|
| Contents |
Machine generated contents note: ch. 1 Why R? -- ch. 2 Import, Explore, Graph I---Getting Started -- 2.1.Where to put your data -- 2.2.Make a folder for your instructions (code, script) -- 2.3.How to get your data into R and where it is stored in R's brain -- 2.4.Working with R---hints for a successful first (and more) interaction -- 2.5.Make your first script file -- 2.6.Starting to control R -- 2.7.Making R work for you---developing a workflow -- 2.8.And finally... -- ch. 3 Import, Explore, Graph II---Importing and Exploring -- 3.1.Getting your data into R -- 3.2.Checking that your data is your data -- 3.3.Summarizing your data---quick version -- 3.4.How to isolate, find, and grab parts of your data---I -- 3.5.How to isolate, find, and grab parts of your data---II -- 3.6.Aggregation and how to use a help file -- 3.7.What your first script might look like (what you should now know) -- ch. 4 Import, Explore, Graph III---Graphs -- |
|
Contents note continued: 4.1.The first step in data analysis---making a picture -- 4.2.Making a picture---bar graphs -- 4.2.1.Pimp my barplot -- 4.3.Making a picture---scatterplots -- 4.3.1.Pimp my scatterplot: axis labels -- 4.3.2.Pimp my scatterplot: points -- 4.3.3.Pimp my scatterplot: colours (and groups) -- 4.3.4.Pimp my scatterplot: legend -- 4.4.Plotting extras: pdfs, layout, and the lattice package -- ch. 5 Doing your Statistics in R---Getting Started -- 5.1.Chi-square -- 5.2.Two sample t-test -- 5.2.1.The first step: plot your data -- 5.2.2.The two sample t-test analysis -- 5.3.General linear models -- 5.3.1.Always start with a picture -- 5.3.2.Potential statistical and biological hypotheses---it's all about lines -- 5.3.3.Specifying the model -- 5.3.4.Plot, model, then assumptions -- 5.3.5.Interpretation -- 5.3.6.Treatment contrasts and coefficients -- 5.3.7.Interpretation -- 5.4.Making a publication quality figure -- 5.4.1.Coefficients, lines, and lines() -- |
|
Contents note continued: 5.4.2.Expanded grids, prediction, and a more generic model plotting method -- 5.4.3.The final picture -- 5.4.4.An analysis workflow -- ch. 6 Final Comments and Encouragement |
| Summary |
"This book provides a functional introduction for biologists new to R. While teaching how to import, explore, graph, and analyse data, it keeps readers focused on their ultimate goals - communicating their data in oral presentations, posters, papers, and reports. It also provides a consistent method (workflow) for using R that is simple, efficient, reliable, accurate, and reproducible. The material in the book reproduces the engaging and sometimes humorous nature of the three-day course on which it is based."--publisher website |
| Bibliography |
Includes bibliography (page [109]) and index |
| Subject |
R (Computer program language)
|
|
Biology -- Data processing.
|
| Author |
Petchey, Owen L.
|
| ISBN |
9780199601622 |
|
0199601623 |
|
9780199601615 |
|
0199601615 |
|
