Select middle 90% range using quantiles

[#1]

I have a Numeric Continuous column labeled as Height with several hundred height values. I want to exclude outliers by just using the middle 90% range of data. I am trying to script it in JSL by selecting all rows below 5% quantile and above 95% quantile and then exclude them. But I am not able to make it work by using script below. I will appreciate any guidance.

RowsBelow5PCTL = dt << get rows where( :HEIGHT < Col Quantile( :HEIGHT, .05 ) );

RowsAbove95PCTL = dt << get rows where( :HEIGHT > Col Quantile( :HEIGHT, .95 ) );

[#2 · Accepted solution]

I believe this will give you what you want;

Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/big class.jmp" );

dt << select where(
	:HEIGHT < Col Quantile( :Height, .05 ) | 
	:HEIGHT > Col Quantile( :Height, .95 )
);
dt << exclude;

Or if you need to have your above and below row number matrices, then this will work

Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/big class.jmp" );

RowsBelow5PCTL = dt << get rows where( :HEIGHT < Col Quantile( :HEIGHT, .05 ) );

dt << select rows(RowsBelow5PCTL);

RowsAbove95PCTL = dt << get rows where( :HEIGHT > Col Quantile( :HEIGHT, .95 ) );
dt << select rows(RowsAbove95PCTL);

dt << exclude;

[#3]

Thank you very much.