How do I remove outliers in data so that vectors are of the same length for plotting?
10 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Vikash Pandey
am 12 Jun. 2024
Bearbeitet: Shivani
am 12 Jun. 2024
Please see the attached excel file.
X = First column data
Y = Second column data
I have to ensure that both the vectors are of the same length for plotting and curve-fitting purpose. How do I get rid of the outliers in the Y-values such that the corresponding X-values are also lost?
0 Kommentare
Akzeptierte Antwort
Matt J
am 12 Jun. 2024
Perhaps something like this,
[Y,discard]=rmoutliers(Y);
X(discard)=[];
0 Kommentare
Weitere Antworten (1)
Shivani
am 12 Jun. 2024
Bearbeitet: Shivani
am 12 Jun. 2024
Hello @Vikash Pandey
Based on my understanding, the 'rmoutlier' would be the correct function to obtain the results you are looking for. The documentation states that,
- If A is a matrix, then rmoutliers detects outliers in each column of A separately and removes the entire row.
You will need to replace column 'A' with 'y' in the above example. This will identify all outliers in column 'y' and remove the corresponding rows, ensuring that 'x' is also removed.
I am attaching MATLAB documentation links that provide further information on this below for your reference:
- https://www.mathworks.com/help/matlab/ref/rmoutliers.html
- https://www.mathworks.com/help/curvefit/removing-outliers.html
- https://www.mathworks.com/help/matlab/data_analysis/data-smoothing-and-outlier-detection.html
- https://www.mathworks.com/help/matlab/ref/cleanoutlierdata.html
- https://www.mathworks.com/help/thingspeak/remove-outliers-in-your-data.html
Additionally, you can also refer to the following MATLAB answer thread for more details:
0 Kommentare
Siehe auch
Kategorien
Mehr zu Measurements and Feature Extraction finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!