Error in using rmoutliers()

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BN
BN on 1 Apr 2020
Answered: Steven Lord on 1 Apr 2020
Dear All,
I was read rmoutliers documentation carefully and want to use it in order to remove outliers' values in a matrix (namely FORCHECK). Actually I choose rmoutliers because rmoutliers detect outliers in each column or variable of A separately and removes the entire row.
Here is my code:
FFF = rmoutliers(FORCHECK,'percentiles',[0 90]);
I wanted to define outlier points as the point that is above the 90th percentile. But I got this error:
Error using matlab.internal.math.rmMissingOutliersVarargin>issueError
(line 137)
Dimension must be 1 or 2.
Error in matlab.internal.math.rmMissingOutliersVarargin>getDim (line
129)
issueError(funName,'DimensionInvalid');
Error in matlab.internal.math.rmMissingOutliersVarargin (line 47)
[opts,startNV] =
getDim(funName,opts,startNV,dimIn,numargs,doOutliers);
Error in matlab.internal.math.rmMissingOutliers>parseInputs (line 100)
opts =
matlab.internal.math.rmMissingOutliersVarargin(funName,A,opts,...
Error in matlab.internal.math.rmMissingOutliers (line 13)
opts = parseInputs(funName,A,varargin{:});
Error in rmoutliers (line 58)
[B,I] =
matlab.internal.math.rmMissingOutliers('rmoutliers',A,varargin{:});
How can I do?

Accepted Answer

Steven Lord
Steven Lord on 1 Apr 2020
The 'percentiles' option for rmoutliers, isoutlier, and filloutliers was introduced in release R2019a. You indicated you're using release R2018b, one release before that.

More Answers (1)

the cyclist
the cyclist on 1 Apr 2020
Running this
load FORCHECK.mat
FFF = rmoutliers(FORCHECK,'percentiles',[0 90]);
worked just fine for me.
Maybe just restart MATLAB, in case you somehow have some other FORCHECK defined in your workspace?
  1 Comment
BN
BN on 1 Apr 2020
Dear the cyclist,
As you said I restarted Matlab and even use clear all, but still I get this error:
I don't know what to do !

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