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Example of Core objects:
The one core graphics object is a line that is also what the plot function produces. Here is an illustration of generating a line object, altering some properties, and saving the handle in a variable hl:
>> x = -2*pi: 1/5 : 2*pi;
>> y = sin(x);
>> hl = line(x,y,'LineWidth', 3, 'Color', [0.5 0.5 0.5])
hl =
159.0405
As shown in figure below, this draws a reasonably thick grey line for the sin function. As the handle will be valid as long as the Figure Window is not closed. A few of the properties of this object are as shown below:
>> get(hl)
Color = [0.5 0.5 0.5]
EraseMode = normal
LineStyle = -
LineWidth = [3]
Marker = none
MarkerSize = [6]
t = auto
MarkerFaceColor = none
XData = [ (1 by 63) double array]
YData = [ (1 by 63) double array]
ZData = []
etc.
Illustration of Nested loops: Running the script shows the output: >> printstars ***** ***** ***** The variable rows identifies the number of rows to print, and
Illustration of reading from files: For illustration, suppose that there is a data file 'subjexp.dat' that has on each line a number followed by thecharacter code. The type fu
Use of function polyval: The better the curve fit, the more exact these interpolated and extrapolated values will be. By using the subplot function, we can loop to display the
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
Opening and Closing a File: The Files are opened with the fopen function. By the default, fopen function opens a file for reading. If the other mode is preferred, a permission
Example of customizing plots: As the other illustration of customizing plots, the pieces of a pie chart can be "exploded" from the rest. In this situation, the two vectors are
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
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
#qYou will need to examine two of the nine sections of data: one section of qualitative data (choose either Gender or Position) one section of quantitative data (choose either Intr
Example of Median For the vector [1 4 5 9 12 33], the median is the average of the 5 & 9 in the middle: >> median([1 4 5 9 12 33]) ans = 7
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