Essential R reference Mark Gardener
Material type:
- 9788126546015
- 23 005.133 G167E
Item type | Current library | Call number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|
Books | Library and Documentation Division | 005.133 G167E (Browse shelf(Opens below)) | Available | In-Process | 107638 |
Machine generated contents note: Theme 1 Data --
Data Types --
Types of Data --
Altering Data Types --
Testing Data Types --
Creating Data --
Creating Data from the Keyboard --
Creating Data from the Clipboard --
Adding to Existing Data --
Importing Data --
Importing Data from Text Files --
Importing Data from Data Files --
Saving Data --
Saving Data as a Text File to Disk --
Saving Data as a Data File to Disk --
Viewing Data --
Listing Data --
Data Object Properties --
Selecting and Sampling Data --
Sorting and Rearranging Data --
Summarizing Data --
Summary Statistics --
Summary Tables --
Distribution of Data --
Density Functions --
Probability Functions --
Quantile Functions --
Random Numbers --
Theme 2 Math and Statistics --
Mathematical Operations --
Math --
Logic --
Complex Numbers --
Trigonometry --
Hyperbolic Functions --
Matrix Math --
Summary Statistics --
Simple Summary Stats --
Tests of Distribution --
Differences Tests --
Parametric Tests --
Non-parametric --
Contents note continued: Correlations and Associations --
Correlation --
Association and Goodness of Fit --
Analysis of Variance and Linear Modeling --
ANOVA --
Linear Modeling --
Miscellaneous Methods --
Clustering --
Ordination --
Time Series --
Non-linear Modeling and Optimization --
Theme 3 Graphics --
Making Graphs --
Types of Graphs --
Saving Graphs --
Adding to Graphs --
Adding Data --
Adding Lines --
Adding Shapes --
Adding Text --
Adding Legends --
Graphical Parameters --
Using the par Command --
Altering Color --
Altering Axis Parameters --
Altering Text Parameters --
Altering Line (and Box) Parameters --
Altering Plot Margins --
Altering the Graph Window --
Theme 4 Utilities --
Install --
Installing R --
Installing Packages --
Using R --
Using the Program --
Additional Packages --
Programming --
Managing Functions --
Saving and Running Scripts --
Conditional Control --
Returning Results --
Error Trapping --
Constants.
The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and that's where this unique book comes in. A companion book to Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, this practical reference is a library of basic R commands that you can copy and paste into R to perform many types of statistical analyses.
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