book

R and MATLAB

by David E. Hiebeler

September 2018

Beginner to intermediate

233 pages

6h 3m

English

Chapman and Hall/CRC

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1.1 Obtaining and installing1.2 Commands for getting help1.3 Demos1.4 Quitting1.5 Additional resources
2.1 Variable names2.2 Assignment statements2.3 Basic computations2.4 Formatting of output2.5 Other computations2.6 Complex numbers2.7 Strange variable names in R2.8 Data types2.8.1 R2.8.2 MATLAB
3.1 Overview3.2 Creating vectors3.3 Working with vectors3.4 Creating matrices3.5 Working with matrices3.6 Reshaping matrices, and higher-dimensional arrays3.7 Sparse matrices3.8 Names with vectors and matrices/arrays3.8.1 R: names for vector/matrix elements and matrix rows/columns3.8.2 R data frames3.8.3 MATLAB structs3.9 Miscellaneous
4.1 Applying a function to rows or columns of a matrix4.2 Applying a function to all elements of a matrix4.3 Linear algebra calculations with vectors and matrices4.4 Statistical calculations4.5 Vectorized logical tests4.6 Other calculations
5.1 Creating lists and cell arrays5.2 Using lists and cell arrays5.3 Applying functions to all elements of lists and cell arrays5.4 Converting other data types to lists and cell arrays5.4.1 All values in a numeric vector or matrix5.4.2 Matrix, by columns or rows5.5 Converting lists and cell arrays to other data types5.5.1 Set of vectors to a single vector5.5.2 Set of vectors to matrix5.5.3 Set of sets to matrix5.5.4 Set of strings to a set of numeric vectors
6.1 Conditional (“if”) statements6.2 “If/else” statements6.3 “for” loops6.4 “while” loops6.5 Breaking out of loops6.6 “switch” statements6.7 “ifelse” statements in R
7.1 Current working directory7.2 The MATLAB search path7.3 Executing code from a file7.4 Creating a new script document in the editor7.5 Comments in script files7.6 Executing code from the editor window7.7 Summary of differences
8.1 R8.1.1 Writing functions8.1.2 Calling functions8.1.3 Environments and variable scope8.1.4 Static variables8.1.5 Variable arguments8.2 MATLAB8.2.1 Inline and anonymous functions8.2.2 Writing functions8.2.3 Calling functions8.2.4 Environments and variable scope8.2.5 Static variables8.2.6 Variable arguments8.2.7 Function handles8.3 Summary of main differences
9.1 Basic random values, permutations, and samples9.2 Random number seed9.3 Random variates from probability distributions9.4 PDFs, CDFs, and inverse CDFs
10.1 Creating, selecting, and closing figure windows10.1.1 Creating windows10.1.2 Listing and selecting windows10.1.3 Closing windows10.2 Basic 2-D scatterplots10.3 Adding additional plots to a figure10.4 Axis ranges10.5 Logarithmic axis scales10.6 Background grid10.7 Plotting multiple data sets simultaneously10.8 Axis labels and figure titles10.9 Adding text to figures10.10 Greek letters and mathematical symbols10.11 Arrows10.12 Figure legends10.13 Size and font adjustments10.14 Two y axes10.15 Plotting functions10.16 Image plots and contours10.17 Colormaps10.18 3-D plotting10.19 Multiple subplots in one figure10.20 Saving figures10.21 Other types of plots10.22 Final notes about graphics
11.1 Root-finding11.1.1 Something to watch out for11.2 Univariate optimization11.3 Multivariate optimization11.4 Numerical integration11.5 Curve fitting11.5.1 Piecewise linear interpolation11.5.2 Polynomial fitting11.5.3 Splines11.6 Differential equations
12.1 Opening files12.2 Reading a table of numbers12.2.1 Subsets of a data file12.3 Reading numeric data with a different comment character12.4 Reading numbers from a file where different lines have varying numbers of values12.5 Reading numbers and strings12.6 Reading the raw character data in, a line at a time12.7 Writing a table of numbers12.8 Writing a set of strings12.9 Saving and loading variables in binary format12.10 Images R12.11 URLs12.12 Excel files
13.1 Working with variables13.2 Character strings13.3 Reading user input13.4 Recording a copy of commands and output13.5 Date calculations13.6 Miscellaneous13.7 Debugging13.8 Startup and shutdown sequences13.9 Add-ons: packages and toolboxes13.10 Object-oriented programming13.11 Other interfaces13.12 Efficiency/performance
14.1 R14.1.1 Example and overview14.1.2 Printing, warnings, and errors14.1.3 Random numbers14.1.4 More advanced features14.2 MATLAB14.2.1 Example and overview14.2.2 Printing, warnings, and errors14.2.3 Random numbers

Content preview from R and MATLAB

Both R and MATLAB include facilities for producing a wide variety of high-quality graphics. Both platforms have fairly straightforward and similar ways of producing simple scatterplots of 2-D data, with a large set of additional routines to modify those plots or produce other types of graphical output.

R has two fundamentally different ways of producing graphics (what are called graphics systems): the traditional graphics system and the grid graphics system. The two systems do not interact very well, so it is best to try and work with just one system at a time. The grid graphics system is in some ways more powerful and convenient than the traditional graphics system, depending on what you are doing. Some things, such as figure ...