R and MATLAB
- London CRC Press 2015
- xix, 210 p. 25 cm ; Hard
- The R Series .
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
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.
9781466568389
Multivariate analysis--Data processing R (Computer program language) R Computer programing language MATLAB