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Mar 14, 2019 3:28 PM
(3011 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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##

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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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