How to remove bad data (outliers) from a plot?

12 次查看（过去 30 天）
asskicker
asskicker 2014-11-18
回答： Steven Lord 2018-6-15
I plot my data and a line of best fit together. I realized there are a few obvious bad data (outliers) in my plot and I need to remove them.
How do I do that?
Thanks!
  1 个评论
STEPHEN ROSS
STEPHEN ROSS 2018-6-15
For small data sets less than 60, use Peirce's Criterion for an excellent statistical method: "https://www.researchgate.net/publication/267241891_Peirce%27s_criterion_for_the_elimination_of_suspect_experimental_data"

请先登录，再进行评论。

请先登录，再回答此问题。

回答（3 个）

Image Analyst
Image Analyst 2014-11-18
See Brett's File Exchange submission: http://www.mathworks.com/matlabcentral/fileexchange/3961
Star Strider
Star Strider 2014-11-18
The most acceptable way is to set confidence limits based on a particular probability and eliminate those data that are outside them. (If you have a large data set, you would expect some valid data to be outside the expected confidence limits.) Various Statistics Toolbox functions such as regress for linear regression and nlpredci for nonlinear regression can calculate these confidence limits for you.
Steven Lord
Steven Lord 2018-6-15
If you're using release R2017a or later, use the isoutlier and/or filloutliers functions in the "Missing Data and Outliers" section on this documentation page.

类别

在 Help Center 和 File Exchange 中查找有关 Linear and Nonlinear Regression 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by