MATLAB Statistical Functions
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!!!! Custom MATLAB Functions
User-defined MATLAB functions are custom routines that accept inputs, perform some type of specialized calculation, and return and output. This tutorial exercise demonstrates how to create a custom script file and use it to perform custom calculations.
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(:title MATLAB Statistical Functions:)
(:keywords big data, data analysis, Mathworks, MATLAB, statistics, average, min, max, stdev, university course:)
(:description Introduction to statistical functions in MATLAB, implemented to analyze a data set:)
The following tutorial is an introduction to MATLAB functions such as average, standard deviation, maximum, minimum, and conditional counting.
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!!!!MATLAB Source Code
% clear session and screen
clear all; clc
% create a new column vector with 10 elements
% with random numbers between 0 and 100
y = rand(10,1) * 100;
disp(y)
% basic statistics
mean(y)
max(y)
min(y)
std(y)
% define a new anonymous function
avg = @(x) sum(x)/length(x)
% check new function
disp('Average with avg function: ')
avg(y)
disp('Average with mean function: ')
mean(y)
% number of values below 50
% boolean vector of 0 or 1 values
disp(y<50)
% display result
disp('Number of values below 50: ')
z = y<50;
disp(sum(z))
!!!!Additional Tutorials
Data statistics can also be completed with a spreadsheet program like [[Main/ExcelFunctions|Microsoft Excel]] and [[Main/PythonFunctions|Python]] where the data sets are arrays or matrices instead of tables in a spreadsheet. Click on the appropriate link for additional information and source code.
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(:keywords big data, data analysis, Mathworks, MATLAB, statistics, average, min, max, stdev, university course:)
(:description Introduction to statistical functions in MATLAB, implemented to analyze a data set:)
The following tutorial is an introduction to MATLAB functions such as average, standard deviation, maximum, minimum, and conditional counting.
(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/gHWkS2CyScs" frameborder="0" allowfullscreen></iframe>
(:htmlend:)
!!!!MATLAB Source Code
% clear session and screen
clear all; clc
% create a new column vector with 10 elements
% with random numbers between 0 and 100
y = rand(10,1) * 100;
disp(y)
% basic statistics
mean(y)
max(y)
min(y)
std(y)
% define a new anonymous function
avg = @(x) sum(x)/length(x)
% check new function
disp('Average with avg function: ')
avg(y)
disp('Average with mean function: ')
mean(y)
% number of values below 50
% boolean vector of 0 or 1 values
disp(y<50)
% display result
disp('Number of values below 50: ')
z = y<50;
disp(sum(z))
!!!!Additional Tutorials
Data statistics can also be completed with a spreadsheet program like [[Main/ExcelFunctions|Microsoft Excel]] and [[Main/PythonFunctions|Python]] where the data sets are arrays or matrices instead of tables in a spreadsheet. Click on the appropriate link for additional information and source code.
----
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