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Appending variables to the Mat-File:
Appending to the file adds to what has been saved in a file, and is accomplished by using the -append option. For illustration, supposing that the variable mymat already has been stored in the file 'sess2.mat', this would append the variable x to the file:
>> save -append sess2 x
>> who -file sess2
Your variables are:
mymat x
Without identifying variable(s), just save -append would add all the variables from the Command Window to the file. Whenever this happens, when the variable is not in the file, it is appended. If there is a variable with similar name in the file, it is substituted by the present value from the Command Window.
Example Exit modular program: In the illustration below, the user Chose the Limit; - Whenever prompted for n, entered the two invalid values before finally ente
Finding a sting - function findstr: The function findstr receives two strings as input arguments. It finds all the occurrences of shorter string contained by the longer, and r
Indexing into Vectors of structures: Frequently, when the data structure is a vector of structures, it is essential to iterate through the vector in order by various fields. F
Splits a string : The strtok function splits a string into pieces; it can be called in many ways. The function receives one string as an input argument. It appears for the fir
Creating Cell arrays: There are many ways to create cell arrays. For illustration, we will create a cell array in which one element will store an integer, one element store ch
Print from the structure: To print from the structure, a disp function will show either the whole structure or a field. >> disp(package) item_no: 123 cost: 19.99
Data structures: The Data structures are variables which store more than one value. In order to made sense to store more than one value in a variable, the values must in some
Replacement : Replace a row by adding it to (or subtract from it) a multiple of the other row. For a given row ri, this is written as ri - srj → ri Note that when r
readlenwid function: function call: [length, width] = readlenwid; function header: function [l,w] = readlenwid In the function call, not any argument is passed; henc
How can I use the weighted moving average formula in matlab to smooth a column data of 404 values?
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