233 Pages 10 B/W Illustrations
    by Chapman & Hall

    233 Pages 10 B/W Illustrations
    by Chapman & Hall

    The First Book to Explain How a User of R or MATLAB Can Benefit from the Other

    In today’s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to learn the other platform. The book makes the transition from one platform to the other as quick and painless as possible.

    Enables R and MATLAB Users to Easily Collaborate and Share Code

    The author covers essential tasks, such as working with matrices and vectors, writing functions and other programming concepts, graphics, numerical computing, and file input/output. He highlights important differences between the two platforms and explores common mistakes that are easy to make when transitioning from one platform to the other.

    Installing 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

    Biography

    David 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.

    "… there is more to the book than simply a guide for translating from one computing environment to the other. The author also provides many useful suggestions for effective use of both R and MATLAB. Furthermore, in many places, the author explains what each environment is actually doing when a command or routine is called. This is useful because it can serve as an indicator as to whether R or MATLAB is the more appropriate choice for a given computing task. … a highly valuable resource for anyone currently using or intending to use either. … I personally welcome the existence of this book and am very grateful to the author for putting in the work to write it. R and MATLAB is well written and should be accessible to students and researchers alike."
    MAA Reviews, December 2015

    "I find this text to be an important reference for many researchers (especially those in highly collaborative environments) that only know one of these two languages. In this situation, I believe this text to be an essential reference as it will make working with your collaborators more efficient. Even if you are well versed in both of these languages, I think this text can help you save time converting between the two. " (The American Statistician)