R and MATLAB

Alpha Invoice.2231- 11th Feb 16 Rs.4,620.47/-

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

Features

Provides an introduction for those who are experienced with either R or MATLAB and now wish to learn the other software platform
Summarizes the differences between R and MATLAB
Explains how to put commands in a script and modify and debug the commands
Shows how to write a function, produce high-quality graphics, and perform standard numeric computations
Includes an R index and a MATLAB index that make it easy to look up a command known in one of the languages and understand how to do it in the other
Summary

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.