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Reading from Files:
There are many lower level functions which read from files. The function fscanf reads the formatted data into a matrix, by using conversion formats like %s for strings, %d for integers, and %f for floats. The function textscan reads text data from a file and stores it in the cell array. The fgetl and fgets functions both read the strings from a file one line at a time; the dissimilarity is that the fgets holds the newline character when there is one at the end of the line, while the fgetl function gets rid of it. All these functions at first need opening the file, and then closing it when terminated.
As the fgetl and fgets functions read one line at a time, such functions are usually in some form of a loop. The fscanf and textscan functions can read the whole data file into one data structure. In terms of the level, these two functions are somewhat in between the load function & the lower level functions like fgetl. The file should be opened by using fopen first, and must be closed by using fclose afterward the data has been read. Though, no loop is needed; they will read in the whole file automatically but into the data structure.
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];
Example of Functions which complete a task: For illustration, the function below just prints the number arguments passed to it in a sentence format: As this function i
Functions which complete a task without returning Values: Most of the functions do not compute values, but instead of accomplish a task like printing formatted output. As thes
Tracing: Sometimes, when a program has loops and/or selection statements and is not running properly, it is helpful in the debugging process to know exactly which statements h
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
Illustrations of Sequential search: The two illustrations of calling such function is as shown below: >> values = [85 70 100 95 80 91]; >> key = 95; >> seqsearch
Nested for Loops: The action of a loop can be any of the valid statement(s). Whenever the action of a loop is the other loop, this is known as nested loop. As an illustrati
Illustration of Input in a for loop: In this illustration, the loop variable iv iterates through the values 1 through 3, therefore the action is repeated three times. The acti
Example of Function stubs: The three functions have not so far been written, though, therefore the function stubs are put in place so that the script can be executed and teste
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
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