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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);
Example of Vectorizing: Likewise, for an operation on a matrix, a nested loop would be needed; for illustration, supposing a matrix variable mat: [r c] = size(mat); for
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 Nested functions: For illustration, the function below computes and returns the volume of a cube. Three arguments are then passed to it, for the width and length of
Advanced File Input and output: Where 'format' involves the conversion characters much like those used in the fprintf function. For illustration, to read the file 'subjexp.dat
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];
Curve Fitting: The data is fundamentally either discrete or continuous. In most of the applications, data is sampled, for illustration, The temperature recorded every ho
Sorting Strings: For the matrix of strings, the sort function works exactly as formerly for numbers. For illustration, >> words = char('Hi', 'Hello', 'Howdy', 'Goodbye', '
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
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
Determine sequence weights for the sequences ACTA, ACTT, CGTT, and AGAT in problem 1 by using Thompson, Higgins, and Gibson method a) compute pairwise distances between sequences
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