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Illustration of Variance
For illustration, for the vector [4, 6, 1, 5], there are n = 4 values therefore n - 1 is 3. The mean of this data set is also 4. The variance will be
The built-in function to compute the variance is known as var:
>> shortx = [4 6 1 5];
>> myvar = var(shortx)
myvar =
4.6667
Functions to create special matrices: The MATLAB also has various functions which create special matrices. For illustration, the zeros function generates a matrix of all zeros
Illustration of Spreadsheet Files: This reads the numbers in a double vector variable nums and the text in a cell array txt (the xlsread function forever returns the numbers f
5 p2+8p+15, 3 p2-3p-18, 12 p2-p-30
Indexed empty matrix: The Individual elements cannot be eliminated from matrices, as matrices always have the similar number of elements in every row. >> mat = [7 9 8; 4 6
Strings as matrix: The matrix can be generated, that consists of strings in each row. Therefore, essentially it is created as a column vector of strings, but the final result
Empty Vectors: An empty vector or in another words, a vector which stores no values, can be generated using the empty square brackets: >> evec = [] evec = [] >> lengt
Illustration of Advanced file input and output: For illustration, to refer to the third number in the first element of the cell array: >> subjdata{1}(3) ans =
Labels and Prompts: The script loads all the numbers from file into a row vector. It then splits the vector; it stores the initial element that is the experiment number in a v
Function xlsread - file function: The function xlsread will read from the spreadsheet file. For illustration, to read from file just generated: >> ssnums = xlsread('ranexc
Illustration of Labels and prompts: The program below prompts the user for endpoints (x1, y1) and (x2, y2) of a line segment, and computes the midpoint of the line segment, th
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