R and MATLAB

This book is designed for users who already know R or MATLAB® and now need to learn the other platform. 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.

Autorentext

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.

Klappentext

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.

Inhalt

**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