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Graphics objects:
The objects involve graphics primitives like lines and text, and also the axes used to orient the objects. These objects are organized hierarchically, and there are properties related with each object. This is the base of object-oriented programming: objects are organized hierarchically (example, a parent comes before its children in the hierarchy) and this hierarchy has ramifications in terms of the properties; usually children inherit properties from the parents. The hierarchy in a MATLAB can be shown in Help of, "Organization of Graphics Objects." In this situation, it can be revealed that the organization involves.
In another word, the Figure Window involves Axes that are used to orient Core objects (primitives like rectangle, line, text) and Plot objects (that are used to produce area plots, bar charts, etc.).
We know that once an object handle has been stored in a variable, the function get can be used to find its properties, and set can be used to alter them.
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];
Median The median is defined only for a data set which has been sorted first, that means that the values are in order. The median of a sorted set of data values (n) is defined
Properties of the text box - graphics objects: By using get will show properties of the text box, the illustration is as shown below: >> get(thand) BackgroundColor
Program of Persistent variables: The program below elaborates this. The script calls a function func1 that initializes a variable count to 0, then increment it, and print the
Example of Functions which return values: Calling this function prints the circumference, since there is no way to store the value, hence, it can be used in following computat
Example of sorting strings: To sort a cell array of strings, also the sort function is used. The illustration is as follows, >> engcellnames = {'Chemical','Mechanical',.
Determine sequence weights for the sequences ACTA, ACTT, CGTT, and AGAT in problem 1 by using Thompson, Higgins, and Gibson method a) compute pairwise distances between sequences
Introduction and Purpose In the lectures and tutorials you have been introduced to a number of probability distributions. You have also learned that modelling any system (such
Nested Functions: We have seen that the loops can be nested, that means that one inside of the other, functions can be nested. The terminology for nested functions is that an
Debugging Techniques: Any error in the computer program is called a bug. This word is thought to date back to the 1940s, whenever a problem with an early computer was found to
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