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fscanf function - file function:
The fscanf reads matrix variable mat columnwise from the file specified by fid. The 'format' involves conversion characters much similar to those used in the fprintf function. The dimensions identify the preferred dimensions of mat; if the number of values in the file is not known, inf is used for the second dimension. For illustration, the below would read in the similar file identified earlier, that has on each line a number, then a space, then a character.
>> fid = fopen('subjexp.dat');
>> mat = fscanf(fid,'%f %c',[2 inf])
mat =
5.3000 2.2000 3.3000 4.4000 1.1000
97.0000 98.0000 97.0000 97.0000 98.0000
>> fclose(fid);
Mode The mode of a data set is the value which appears most often. The built-in function in a MATLAB for this is known as the mode. >> x = [9 10 10 9 8 7 3 10 9 8 5 10];
Location of a rectangle - graphics objects: The location of a rectangle is [x y w h], where x and y are the coordinates of the lower left point, here w is the width, and h is
Example of Functions which return values: Calling this function prints the circumference, since there is no way to store the value, hence, it can be used in following computat
Graphics objects: The objects involve graphics primitives like lines and text, and also the axes used to orient the objects. These objects are organized hierarchically, and the
Illustration of Binary search: An illustration to search for the key of 91 in the vector is as shown below: The table below shows what will happen in each iteration of
Logical Built-In Functions: There are built-in functions in the MATLAB which are useful in conjunction with vectors or matrices of all logical true or false values; two of the
Execution of persistent variables: The functions can also be called from the script or from the Command Window, as shown here. For illustration, the functions are called first
function sortrows - sorting strings: The function sortrows sorts each and every row as a block, or group, and it also will work on numbers. Here in this illustration the rows
Introduction and Purpose In the lectures and tutorials you have been introduced to a number of probability distributions. You have also learned that modelling any system (such
Advanced File Input and Output: In that section, we saw how to read the values entered by user using the input as well as the output functions disp and fprintf, that shows inf
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