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Labels and Prompts:
The script loads all the numbers from file into a row vector. It then splits the vector; it stores the initial element that is the experiment number in a variable exper_no, rest of the vector in a variable data (the rest being from the next element to the end). It then plots the data, by using sprintf to generate the title which includes the experiment number as shown in the figure.
The other way of completing this (in script or function) would be as shown:
fprintf('%s, Enter your id #: ',username);
id_no = input('');
Note that the calls to the sprintf and fprintf functions are similar except that the fprintf prints (therefore there is no requirement for a prompt in the input function) while the sprintf generates a string which can then be exhibited by the input function. In this situation by using sprintf it seems clearer than using the fprintf and then having an empty string for the prompt in input.
Animation: In this part we will observe a couple of ways to animate a plot. These are visuals, therefore the outcomes can't really be shown here; it is essential to type these
Three-Dimensional Plots: The MATLAB has many functions which will display three-dimensional plots. Most of these functions have similar name as corresponding two-dimensional p
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
Applications of Customized Strings: Labels, Prompts, Arguments to Functions: The one of very useful application of this is to involve numbers in strings that are used to plot
Plot types: Besides plot and bar, there are another plot types like stem plots, histograms, stem plots, area plots and pie charts, and also other functions which customize the
Illustration of logical built-in functions: The function find returns the indices of a vector which meet certain criteria. For illustration, to find all the elements in a vect
Histogram: The histogram is a particular type of bar chart which shows the frequency of occurrence of the values within a vector. The Histograms use what are known as bins to
Differentiation: The derivative of a function y = f(x) can be written as follows or f '(x) and is defined as the rate of change of the dependent variable y with respe
Standard Deviation The standard deviation is the square root of variance: The built-in function in a MATLAB for the standard deviation is known as std; the standard dev
Function xlsread - file function: The function xlsread will read from the spreadsheet file. For illustration, to read from file just generated: >> ssnums = xlsread('ranexc
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