What code would I use to find errors associated with a plot of data in Matlab? 5
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Question
What code would I use to find errors associated with a plot of data in Matlab?
5) Fit the impedance with the linear, quadratic and cubic model. Show your results for the three models in a single figure with three subplots. For all three subplots, represent the experimental values (from the table) with circles, and your models with lines with different colours. Finally find errors associated with each model and use them to estimate which of the three models gives the best fit to the experimental data.Explanation / Answer
Ans:
Automatically Check Code in the Editor — Code Analyzer:
You can view warning and error messages about your code, and modify your file based on the messages. The messages update automatically and continuously so you can see if your changes addressed the issues noted in the messages. Some messages offer additional information, automatic code correction, or both.
Enable Continuous Code Checking
To enable continuous code checking in a MATLAB code file in the Editor:
On the Home tab, in the Environment section, click Preferences.
Select MATLAB > Code Analyzer, and then select the Enable integrated warning and error messages check box.
Set the Underlining option to Underline warnings and errors, and then click OK.
Use Continuous Code Checking
You can use continuous code checking in MATLAB code files in the Editor:
Open a MATLAB code file in the Editor. This example uses the sample file lengthofline.m that ships with the MATLAB software:
Open the example file:
Save the example file to a folder to which you have write access. For the example, lengthofline.m is saved to C:my_MATLAB_files.
Examine the message indicator at the top of the message bar to see the Code Analyzer messages reported for the file:
Red indicates that syntax errors were detected. Another way to detect some of these errors is using syntax highlighting to identify unterminated character vectors, and delimiter matching to identify unmatched keywords, parentheses, braces, and brackets.
Orange indicates warnings or opportunities for improvement, but no errors, were detected.
Green indicates no errors, warnings, or opportunities for improvement were detected.
3)Click the message indicator to go to the next code fragment containing a message. The next code fragment is relative to the current cursor position, viewable in the status bar.
The code fragment for which there is a message is underlined in either red for errors or orange for warnings and improvement opportunities.
4)View the message by moving the mouse pointer within the underlined code fragment.
The message opens in a tooltip and contains a Details button that provides access to additional information by extending the message. Not all messages have additional information.
5)Click the Details button.
The window expands to display an explanation and user action.
6)Modify your code, if needed.
The message indicator and underlining automatically update to reflect changes you make, even if you do not save the file.
7) The code is underlined because there is a warning message, and it is highlighted because an automatic fix is available. When you view the message, it provides a button to apply the automatic fix.
8)Fix the problem by doing one of the following:
If you know what the fix is (from previous experience), click Fix.
If you are unfamiliar with the fix, view, and then apply it as follows:
Right-click the highlighted code (for a single-button mouse, press Ctrl+ click), and then view the first item in the context menu.
Click the fix.
MATLAB automatically corrects the code.
In this example, MATLAB replaces prod(size(hline)) with numel(hline).
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