![]() ![]() ![]() To generate random integer numbers in a given range, you can use randi() function, You could test whether the generated random numbers are truly uniformly distributed or not by plotting their histogram, > histogram(RandomValues) – X = rand(n,m) returns an n-by-m matrix of random numbers.įor example, suppose you generated 10000 uniform random numbers, > RandomValues = rand(10000,1) – X = rand(n) returns an n-by-n matrix of random numbers. – X = rand returns a single uniformly distributed random number in the interval (0,1). For example, you can use rand() to create a random number in the interval (0,1), MATLAB has a long list of random number generators. All of these functions are collectively named the statistics and machine learning toolbox in MATLAB. MATLAB has a large set of built-in functions to handle such random number generation problems. In the simplest scenario for your research, you may need to generate a sequence of uniformly distributed random numbers in MATLAB. One of the most important topics in today’s science and computer simulation is random number generation and Monte Carlo simulation methods. To close all open figures, simply type close all. Here, gcf refers to the current active figure handle. Closing figures and plots in MATLABįor closing the current active figure in MATLAB, you could simply use close(gcf). Here on this page, you can find a long list of MATLAB plotting functions and types of plots that you can draw using MATLAB. We will learn how to use some of these functions in homework 5. MATLAB, as said above, has a tremendous set of plotting functions, which make it an ideally suited programming language for scientific research. Other more complex plotting functions in MATLAB To learn more about fantastic things you can do with MALTAB plotting functions, see this page. Which will produce and save the following plot, > saveas(gcf,'sinCosDecoratedScatter.png') > title('A simple plot of Sin(x) and Cos(X)', 'fontsize', 12) For example you could add a plot title as well as X-axis and Y-axis labels to your plots by, > title('A simple plot of Sin(x) and Cos(X)', 'fontsize', 12)Īlso we could add legends to the plot, explaining what each line represents, > legend(, 'fontsize', 13, 'location', 'southwest' ) Nevertheless, here are a few useful commands that help you decorate your plots. Things you can do with MATLAB plotting functions is virtually endless, and there is no way we could cover all of them here in this course. This will save the following figure for you, on your local device,Īnnotating and decorating your MATLAB plots If you wish to add new data to this plot, you could use hold on command, > hold on Here, gcf refers tothe current figure handle in MATLAB environment. You could also save this figure in almost any format you wish using save() function, > saveas(gcf,'sin.png') This will open the following MATLAB figure page for you in the MATLAB environment, ![]() All you need to have is a dataset consisting of X and Y vectors, > X = 0:0.1:10 With this function, plotting x-y data is as simple as it can be. One of the most widely used MATLAB plotting functions is plot(). Here in this lecture, we will only review some of the most important and most useful plotting capabilities in MATLAB. MATLAB is truly the unique best language for plotting data, and in my personal view, no other language comes even close to it (except perhaps, the R programming language which is specifically designed for data analysis and plotting). One of the most useful methods of outputting the results of your research and MATLAB projects is plotting. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |