R and MATLAB: (Chapman & Hall/CRC The R Series)

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.

Table of Contents:
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

About the Author :
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.

Review :
"… 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)