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Level III

## supress outliers

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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Level VI

## Re: supress outliers

Still yet another technique from the JMP analysis platform report itself is to invoke a Local Data Filter. The nice aspect of this option is you can make real time changes right within the report itself to examine visually the effects of outlier manipulation.

7 REPLIES 7
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Level VIII

## 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;
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
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Level III

## Re: supress outliers

Thanks, this looks pretty straight forward.  The tutorial book shows examples of hide and select using the interface but I could not get it to go.  The lasso tools looked fun but I couldn't get it to work.  I think the bottom line here might be that I simply have to learn JMP scripting language.

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Super User

## 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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Level III

## 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

Highlighted
Level VI

## Re: supress outliers

Still yet another technique from the JMP analysis platform report itself is to invoke a Local Data Filter. The nice aspect of this option is you can make real time changes right within the report itself to examine visually the effects of outlier manipulation.

Highlighted
Level III

## Re: supress outliers

I am not quite there yet but I am aware of this journal function.  Thanks for the tip, this sounds like a really powerful tool.

Highlighted
Level VI

## Re: supress outliers

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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