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Creating Customized strings:
There are many built-in functions which create customized strings, including blanks, char, and sprintf.
We know that the char function can be used to convert from an ASCII code to character, as the illustration shows:
>> char(97)
ans =
a
A char function can also be used to generate a matrix of characters. Whenever using the char function to generate a matrix, it will automatically pad the strings within the rows with blanks as essential so that they are all of similar length, just like the strvcat.
>> clear greetmat
>> greetmat = char('Hello','Goodbye')
greetmat =
Hello
Goodbye
>> size(greetmat)
2 7
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
5 p2+8p+15, 3 p2-3p-18, 12 p2-p-30
how can reconstruct just part of an image using imreconstruct?
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
Pie chart - plot functions: The MATLAB also has a function pie which will generate a pie chart. Calling the function with the form pie (vec) draws a pie chart, by using the pe
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
Symbolic Expression The solve function solves an equation and returns the solution(s) as symbolic expressions. The answer can be converted to numbers by using any numeric funct
Illustration of Standard Deviation The less spread out the numbers are, therefore smaller the standard deviation will be, as it is a way of determining the spread of the data.
Illustration of nested function: The output arguments are distinct from variables. The scope of an output argument is merely the nested function; and it cannot be used in the
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
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