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# R and MATLAB by David E. Hiebeler (Hardback, 2015)

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## About this product

### Key Features

- Author(s)David E. Hiebeler
- PublisherTaylor & Francis Inc
- Date of Publication05/06/2015
- Language(s)English
- FormatHardback
- ISBN-101466568380
- ISBN-139781466568389
- GenreScience & Mathematics: Textbooks & Study Guides
- Series TitleChapman & Hall/CRC: The R Series

### Publication Data

- Place of PublicationBosa Roca
- Country of PublicationUnited States
- ImprintCRC Press Inc
- Content Note10 black & white illustrations, 13 black & white tables

### Dimensions

- Weight612 g
- Width178 mm
- Height254 mm
- Spine18 mm
- Pagination233

### Description

- Table Of ContentsInstalling and Running R and MATLAB Obtaining and installing Commands for getting help Demos Quitting Additional resources Getting Started: Variables and Basic Computations Variable names Assignment statements Basic computations Formatting of output Other computations Complex numbers Strange variable names in R Data types Matrices and Vectors Overview Creating vectors Working with vectors Creating matrices Working with matrices Reshaping matrices, and higher-dimensional arrays Sparse matrices Names with vectors and matrices/arrays Miscellaneous Matrix/Vector Calculations and Functions Applying a function to rows or columns of a matrix Applying a function to all elements of a matrix Linear algebra calculations with vectors and matrices Statistical calculations Vectorized logical tests Other calculations Lists and Cell Arrays Creating lists and cell arrays Using lists and cell arrays Applying functions to all elements of lists and cell arrays Converting other data types to lists and cell arrays Converting lists and cell arrays to other data types Flow Control Conditional ( if ) statements If/else statements for loops while loops Breaking out of loops switch statements ifelse statements in R Running Code from Files: Scripts Current working directory The MATLAB search path Executing code from a file Creating a new script document in the editor Comments in script files Executing code from the editor window Summary of differences Writing Your Own Functions R MATLAB Summary of main differences Probability and Random Numbers Basic random values, permutations, and samples Random number seed Random variates from probability distributions PDFs, CDFs, and inverse CDFs Graphics Creating, selecting, and closing figure windows Basic 2-D scatterplots Adding additional plots to a figure Axis ranges Logarithmic axis scales Background grid Plotting multiple data sets simultaneously Axis labels and figure titles Adding text to figures Greek letters and mathematical symbols Arrows Figure legends Size and font adjustments Two y axes Plotting functions Image plots and contours Colormaps 3-D plotting Multiple subplots in one figure Saving figures Other types of plots Final notes about graphics Numerical Computing Root-finding Univariate optimization Multivariate optimization Numerical integration Curve fitting Differential equations File Input and Output Opening files Reading a table of numbers Reading numeric data with a different comment character Reading numbers from a file where different lines have varying numbers of values Reading numbers and strings Reading the raw character data in, a line at a time Writing a table of numbers Writing a set of strings Saving and loading variables in binary format Images URLs Excel files Miscellaneous Working with variables Character strings Reading user input Recording a copy of commands and output Date calculations Miscellaneous Debugging Startup and shutdown sequences Add-ons: packages and toolboxes Object-oriented programming Other interfaces Efficiency/performance Calling C R MATLAB Bibliography Index of R commands, variables, and symbols Index of MATLAB commands, variables, and symbols
- Author BiographyDavid E. Hiebeler is an associate professor in the Department of Mathematics & Statistics at the University of Maine. He earned a PhD in applied mathematics from Cornell University. His research involves mathematical and computational stochastic spatial models in population ecology and epidemiology.

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