Title Statements
- Full title :A primer in biological data analysis and visualization using R / Gregg Hartvigsen.
Edition Statements
- Publication Date:©2014
Publication Statements
- Publisher(s):Columbia University Press
- Place of Publication:New York
- Language:eng
- Publication Date:©2014
The Physical Object
- Description:ix, 234 pages : : illustrations ; : 26 cm
Edition Identifiers
- ISBN:9780231166980, 0231166982, 9780231166997, 0231166990
- oclc:ocn842878997
- LC Classification:QA276.45.R3
- Dewey Decimal:519.5
Table of Contents
Machine generated contents note: 1. Introducing Our Software Team -- 1.1. Solving Problems with Excel and R -- 1.2. Install R and Rstudio -- 1.3. Getting Help with R -- 1.4.R as a Graphing Calculator -- 1.5. Using Script Files -- 1.6. Extensibility -- 1.7. Problems -- 2. Getting Data into R -- 2.1. Using C() for Small Datasets -- 2.2. Reading Data from an Excel Spreadsheet -- 2.3. Reading Data from a Website -- 2.4. Problems -- 3. Working with Your Data -- 3.1. Accuracy and Precision of Our Data -- 3.2. Collecting Data into Dataframes -- 3.3. Stacking Data -- 3.4. Subsetting Data -- 3.5. Sampling Data -- 3.6. Sorting an Array of Data -- 3.7. Ordering Data -- 3.8. Sorting a Dataframe -- 3.9. Saving a Dataframe to a File -- 3.10. Problems -- 4. Tell Me about My Data -- 4.1. What are Data? -- 4.2. Where's the Middle? -- 4.3. Dispersion about the Middle -- 4.4. Testing for Normality -- 4.5. Outliers -- 4.6. Dealing with Non-Normal Data -- 4.7. Problems -- 5. Visualizing Your Data -- 5.1. Overview.
Contents note continued: 5.2. Histograms -- 5.3. Boxplots -- 5.4. Barplots -- 5.5. Scatterplots -- 5.6. Bump Charts (Before and After Line Plots) -- 5.7. Pie Charts -- 5.8. Multiple Graphs …
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