Customize Oneway analysis

[#1]

Hi guys! 
I'm wondering if there is a way/script to move the minimum, median and maximum in to the Means and Std Deviations area.
Thank you ! 

dt = Open( "$SAMPLE_DATA\Big Class.jmp",invisible(1) );

ow= dt<<Oneway(
Y( :Eval(colListY<<GetItems) ),
X( :Eval(colListX<<GetItems) ),
All Graphs( 0 ),
Quantiles( 1 ),
Means and Std Dev( 1 ),
Plot Quantile by Actual( 1 ),
Line of Fit( 0 ),
Points( 0 ),
Box Plots( 1 ),
Mean Error Bars( 1 ),
Std Dev Lines( 1 ),
SendToReport(
Dispatch(
{"Quantiles"},
"",
TableBox,
{Set Shade Headings( 1 ), Set Shade Alternate Rows( 0 )}
),
Dispatch( {"Quantiles"}, "10%", NumberColBox, {Visibility( "Collapse" )} ),
Dispatch( {"Quantiles"}, "25%", NumberColBox, {Visibility( "Collapse" )} ),
Dispatch( {"Quantiles"}, "75%", NumberColBox, {Visibility( "Collapse" )} ),
Dispatch( {"Quantiles"}, "90%", NumberColBox, {Visibility( "Collapse" )} ),
Dispatch(
{"Normal Quantile Plot"},
"2",
ScaleBox,
{Format("Percent",9,2 )}
														
)
													
),

);

[#2 · Accepted solution]

Here is a pretty hard coded example of one way to do this:

dt = Open( "$SAMPLE_DATA\Big Class.jmp", invisible( 1 ) );
colListY="height";
colListX="sex";
ow = dt << Oneway(
	Y( :Eval( colListY  ) ),
	X( :Eval( colListX  ) ),
	All Graphs( 0 ),
	Quantiles( 1 ),
	Means and Std Dev( 1 ),
	Plot Quantile by Actual( 1 ),
	Line of Fit( 0 ),
	Points( 0 ),
	Box Plots( 1 ),
	Mean Error Bars( 1 ),
	Std Dev Lines( 1 ),
	SendToReport(
		Dispatch( {"Quantiles"}, "", TableBox, {Set Shade Headings( 1 ), Set Shade Alternate Rows( 0 )} ),
		Dispatch( {"Quantiles"}, "10%", NumberColBox, {Visibility( "Collapse" )} ),
		Dispatch( {"Quantiles"}, "25%", NumberColBox, {Visibility( "Collapse" )} ),
		Dispatch( {"Quantiles"}, "75%", NumberColBox, {Visibility( "Collapse" )} ),
		Dispatch( {"Quantiles"}, "90%", NumberColBox, {Visibility( "Collapse" )} ),
		Dispatch(
			{"Normal Quantile Plot"},
			"2",
			ScaleBox,
			{Format( "Percent", 9, 2 )}
														
		)
													
	), 

);

// calculate the required new statistics
summarize(byGroup=by(as column(colListX)),byMax=Max(as column(colListY)),
	byMin=Min(as column(colListY)),byMedian=Quantile(as column(colListY),.5)
);

// Access the report output
repOW = ow << report;

// Capture the names of the columns in the current table box output
namesList = repOW["Means and Std Deviations"][tablebox(1)] << get names;

// Get the values from the current columns in the table box
levels = repOW["Means and Std Deviations"][stringcolbox(1)]<<get;
numbers = repOW["Means and Std Deviations"][numbercolbox(1)]<<get;
means = repOW["Means and Std Deviations"][numbercolbox(2)]<<get;
stddevs = repOW["Means and Std Deviations"][numbercolbox(3)]<<get;
stderrs = repOW["Means and Std Deviations"][numbercolbox(4)]<<get;
lowers = repOW["Means and Std Deviations"][numbercolbox(5)]<<get;
uppers = repOW["Means and Std Deviations"][numbercolbox(6)]<<get;

// Build the new table box adding in the new statistics 
newTB = Table Box(
	string col box(namesList[1], levels),
	number col box(namesList[2], numbers),
	number col box(namesList[3], means),
	number col box(namesList[4], stddevs),
	number col box(namesList[5], stderrs),
	number col box(namesList[6], lowers),
	number col box(namesList[7], uppers),
	number col box("Minimum", byMin),
	number col box("Median", byMedian),
	number col box("Maximum", byMax)	
);

// Append the new table box into the Means and Std Devs outline box
repOW["Means and Std Deviations"] << append(newTB);

// Delete the original table box
repOW["Means and Std Deviations"][tablebox(1)]<<delete;

[#3]

Hi txnelson!
Thank you so much for helping once again.
Yes, this was what I was looking for, I'll learn through the code and understand it