How do I remove outliers in data so that vectors are of the same length for plotting?
6 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Vikash Pandey
el 12 de Jun. de 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 comentarios
Respuesta aceptada
Matt J
el 12 de Jun. de 2024
Perhaps something like this,
[Y,discard]=rmoutliers(Y);
X(discard)=[];
0 comentarios
Más respuestas (1)
Shivani
el 12 de Jun. de 2024
Editada: Shivani
el 12 de Jun. de 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 comentarios
Ver también
Categorías
Más información sobre Measurements and Feature Extraction en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!