1 / 23

StatLab Workshop: Intro to Matlab for Data Analysis and Statistical Modeling

StatLab Workshop: Intro to Matlab for Data Analysis and Statistical Modeling.

Télécharger la présentation

StatLab Workshop: Intro to Matlab for Data Analysis and Statistical Modeling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. StatLab Workshop:Intro to Matlab for Data Analysisand Statistical Modeling

  2. Useful links: http://statlab.stat.yale.edu/help/FAQ/matlab_FAQ.jsp The help links on this page include Mathworks’ Getting Started (the official online documentation of Matlab) Kermit Sigmon’s MATLAB Primer (a very good beginner manual); University of Utah’s MATLAB Tutorial and some others. MATLAB’s online help manual

  3. What is MATLAB? • MATLAB is a matrix-based tool for numerical computations. It’s very powerful and easy to use. • Both programming language and interactive environment • Very fast native functions; very slow when processing loops • Lots of available toolboxes

  4. Launching Matlab • Click “MATLAB 7” from the start menu • (on Unix systems: type “matlab” to enter interactive mode)

  5. The Interface • Main Window: Input/Output • Workspace: consists of the variables you create during a MATLAB session; • Command History: double click them to evaluate them; • Current Directory browser: shows you where you are. • Editor/Debugger: pops up when you create an M-file (click on “New” button to launch it.)

  6. Entering Matrices Matrices can be • Entered manuallyA = [1 2 3 ; 4 5 6 ; 7 8 9] • Generated by built-in functions • Loaded from a file

  7. Matrix operations: • + addition • - subtraction • * multiplication • ^ power • ‘ transpose • \ left division, / division x = A \ b is the solution of A * x = b x = b / A is the solution of x * A = b • To make ‘*’ , ‘^’, ‘\’ and ‘/’ apply element-by-element, we precede the operators by ‘.’

  8. Subscripts: • Subscripts: the element in row i and column j of A is denoted by A(i, j). • i,j can also be vectors of indices or logical arrays:A=4*[1 2 3 4 5 6 7 8 9]’b=A>18; c=(5 6 7 8 9)’ • A(b) gives same result as A(5;6;7;8;9)

  9. The Colon Operator ‘:’ The colon ‘:’ is one of MATLAB ’s most important operators. It has many formats: • [0:0.2:3] is a row vector containing integers from 0 to 3, in increments of 0.2 • Subscript expressions involving colons refer to portions of a matrix: A(1:3 , 2) is the first to the third elements of the second column of A.

  10. Working with Matrices: Four functions that generate basic matrices: • Zeros: all zeros. A = zeros(1,3) • Ones: all ones. A = ones(2,4) • Rand: elements are U[0,1] random variables A = rand(3,5) • Randn: elements are standard-normal random variables A = randn(2,5) • Be careful: Matlab always sets the same seed.Get ‘more random’ numbers by typing rand('state', sum(100*clock))

  11. A=eye(3) gives a 3-by-3 identity matrix • sparse(m,n): same as zeros(m,n), use if most elements are zeros. • Concatenation: join small (compatible) matrices to make bigger ones: B = [A A-2; A*2 A/4] • Deleting rows and columns: B(:,2) = [ ]

  12. Putting it together • Many operations can take Matrix inputs. Example:A = [1 2 3 ; 4 5 6 ; 7 8 9] B=A>5 • Use indices and element-by-element operations to avoid slow and unwieldy loops:beta=0.925;auxil=1:200;betavec(auxil)=beta.^auxil;betavec=betavec’

  13. Suppressing Output: If you simply type a statement and press Enter, MATLAB automatically displays the results on screen. If you end the line with a semicolon ‘;’, MATLAB performs the computation but does not display any result. • Example: C = randn(5,1) v.s. C = randn(5,1);

  14. Functions: • MATLAB provides a large number of standard elementary mathematical functions, including abs, sqrt, exp, sin. • For a list of the elementary mathematical functions, type: help elfun • For a list of more advanced mathematical and matrix functions, type help specfun help elmat • For a list of data analysis functions, type help datafun

  15. Flow Control: MATLAB has following flow controls: • If statement • For loops • While loops • Continue statement • Break statement

  16. if … elseif … else … end If A > B ‘greater’ elseif A < B ‘less’ elseif A = = B ‘equal’ else error(‘Unexpected situation’) end

  17. for … end for i = 1:m for j = 1:n H(i,j) = 1/(i+j) end end

  18. Graphics: plot x = [0 : .01 : 2*pi]; y = sin(x); plot(x,y) y2 = sin(x-.25) y3 = sin(x-.5) plot(x,y,x,y2,x,y3)

  19. Programming with MATLAB: • Files that contain code in the MATLAB language are called M-files. You can create M-files using the matlab editor, then use them as you would any other MATLAB functions or commands. There are two types of M-files: Scripts and Functions.

  20. Scripts • Scripts: a bunch of code grouped together; doesn’t accept argument or return output. • Example • open m-file editor • type disp(‘Hello World’) • save as test.m in c:\temp • add c:\temp to path (File/Set Path) • Execute by typing “test”

  21. Functions: • Functions are M-files that can accept input arguments and return output arguments. The name of the M-file and of the function should be the same. • For example, save this as area.m in c:temp:function ar = area(radius)ar=pi*radius^2;

  22. Function functions • Once you have defined a function, you can use functions that have functions as arguments – function functions! • E. g. search for minima, zero values. • Example: first we define the function x2-3:function x=example(input)x=input.^2-3; • Now, we can easily find minima and zeros:fminbnd(@example,-2,2), fzero(@example,2)

  23. Learn from others • There are lots of Matlab functions already out there: • Google them! • http://www.mathworks.com/matlabcentral/ • James LeSage’s econometrics toolbox:http://www.spatial-econometrics.com/ • Don’t forget to “set paths” so that Matlab can find your new .m-files.

More Related