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Mar 14, 2019 3:28 PM
(3623 views)

I am trying to supress outliers in a continuous variable. In SPSS I used to just declaire a range and recode them as missing values. I know this should be obvious, but I need some help

thanks

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Re: supress outliers

@emeritus ,

You can use the hide and select approach. Here try this:

dt = Open( "$SAMPLE_DATA/Big Class.jmp" ); // Open a sample data table

// Defining the range which you feel are outliers
dt << Select Where (:height < 62);

// Hiding and Excluding them from your analysis (they will remain in the data table, but are not included in your

//analysis
dt << Hide and Exclude;

// Clear your selection
dt << Clear Select;

// Perform a simple bivariate analysis - notice that the values for height < 62 no longer show up in your plot
dt << Bivariate( Y( :weight ), X( :height ), Fit Line );

Best

Uday

Uday

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Re: supress outliers

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Re: supress outliers

I would use the Column Property, "Range Check". It allows you to remove outliers on a column by column basis.

Jim

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Re: supress outliers

I actually looked at that but got scared off because I did not totally understand it. I will give it a shot.

Thanks

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Re: supress outliers

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JMP Journaling doesn't really have any relationship to JMP local data filters. Journaling is a JMP specific capability for creating and sharing what I like to call a 'lab notebook' for you JMP related work. Journals can come in very handy for sharing your work, keeping a running record of your JMP discoveries and findings. Journals can contain all sorts of information, JMP data, other files, pictures, links to external locations like files and web sites, etc. Journals are very utilitarian in their own rite.

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Re: supress outliers