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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 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
Polynomials: Simple curves are polynomials of various degrees, or orders. The degree is the integer of the highest exponent in the expression. The illustrations are as follows
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
Illustration of Customizing plots: Illustration, the bar and barh functions by the default place a width of 0.8 between bars. Whenever called as bar(x,y), the width of 0.8 is
bjjh
Steps for input output functions - Lower level file: The steps involved are as shown below: Open the file. Read the file, write to the file, or append to the file.
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];
Generic code for Reading from Files: The generic code to complete this is as shown below: fid = fopen('filename'); if fid == -1 disp('File open not suc
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
Illustration of Indexing: Though, rather than of creating the index vector manually as shown here, the process to initialize the index vector is use to a sort function. The al
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