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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 used. If rather a third argument is passed, it is the width, for illustration, bar(x,y, width). The script below uses subplot to display variations on the width. A width of 0.6 answers in more space between the bars. A width of 1 makes the bars touching each other, and with a width bigger than 1.2, the bars really overlap. The results are as shown in figure.
Figure: Subplot demonstrates varying widths in a bar chart.
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.
Input in a While Loop: The script below repeats the procedure of prompting a user, the reading in a positive number, and echo-printing it, as long as the user properly enters
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
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
Lower Level File I/O Functions: Whenever reading from data file, as long as the data in the file is "regular" the load function works-in another words, the similar type of dat
Example of Functions which complete a task: For illustration, the function below just prints the number arguments passed to it in a sentence format: As this function i
Statistics There are numerous statistical analyses which can be executed on data sets. In MATLAB software, the statistical functions are in the data analysis help topic known a
Illustration of Nested loops: Running the script shows the output: >> printstars ***** ***** ***** The variable rows identifies the number of rows to print, and
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
Variable packages: Variable packages are now the vector of structures, hence each and every element in the vector is a structure. To show one element in the vector, an index i
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