TY - BOOK AU - Hiebeler, David E. TI - R and MATLAB T2 - The R Series SN - 9781466568389 U1 - 510.28553 HIE PY - 2015/// CY - London PB - CRC Press KW - Multivariate analysis--Data processing KW - R (Computer program language) KW - R Computer programing language KW - MATLAB N1 - 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 N2 - 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 ER -