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BetaPanda273
Level I

Help with default view summary statistics

Folks,
I use .jmp 14 for analysis. I am looking for a way to only permanently display only 4 statistics of use to me -Mean, Std.Dev, Mode and Observations. I manually uncheck it each time by clicking on summary. I have also checked under preferences in var chart and unchecked the other non relevant statistics apart from these 4 but it doesn't work. Is that a limitation with. Jmp 14? Any help would greatly be appreciated.
3 REPLIES 3
txnelson
Super User

Re: Help with default view summary statistics

I am not understanding what you are saying.  Are you attempting to display data in your data table, or is it from the results from the Distribution platform?  Providing an image of what you are referring to would be very helpful.  

Jim
BetaPanda273
Level I

Re: Help with default view summary statistics

Please see this example as you can see entire statistics is displayed by default. I want to only have mean, media, mode and observations displayed.

 

agraph.png

Victor_G
Super User

Re: Help with default view summary statistics

Hi @BetaPanda273,

 

Welcome in the Community !

 

If you right-click on the table of the Variability Summary report and choose "Columns", you can deselect default columns displayed :

Victor_G_0-1724999833792.png

In order to always have some columns hidden, you can maybe script the analysis to only make some columns appear. Example here :


Variability Chart(
	Y( :NPN1 ),
	Model( "Main Effect" ),
	X( :wafer, :SITE, :lot_id ),
	Variability Analysis(
		:NPN1,
		Variability Summary Report( 1 ),
		Std Dev Chart( 0 )
	),
	SendToReport(
		Dispatch(
			{"Variability Gauge Analysis for NPN1", "Variability Chart for NPN1",
			"Variability Summary for NPN1"}, "Std Dev", NumberColBox,
			{Visibility( "Collapse" )}
		),
		Dispatch(
			{"Variability Gauge Analysis for NPN1", "Variability Chart for NPN1",
			"Variability Summary for NPN1"}, "CV", NumberColBox,
			{Visibility( "Collapse" )}
		),
		Dispatch(
			{"Variability Gauge Analysis for NPN1", "Variability Chart for NPN1",
			"Variability Summary for NPN1"}, "Std Err Mean", NumberColBox,
			{Visibility( "Collapse" )}
		),
		Dispatch(
			{"Variability Gauge Analysis for NPN1", "Variability Chart for NPN1",
			"Variability Summary for NPN1"}, "Lower 95%", NumberColBox,
			{Visibility( "Collapse" )}
		),
		Dispatch(
			{"Variability Gauge Analysis for NPN1", "Variability Chart for NPN1",
			"Variability Summary for NPN1"}, "Upper 95%", NumberColBox,
			{Visibility( "Collapse" )}
		),
		Dispatch(
			{"Variability Gauge Analysis for NPN1", "Variability Chart for NPN1",
			"Variability Summary for NPN1"}, "Minimum", NumberColBox,
			{Visibility( "Collapse" )}
		),
		Dispatch(
			{"Variability Gauge Analysis for NPN1", "Variability Chart for NPN1",
			"Variability Summary for NPN1"}, "Maximum", NumberColBox,
			{Visibility( "Collapse" )}
		),
		Dispatch(
			{"Variability Gauge Analysis for NPN1", "Variability Chart for NPN1",
			"Variability Summary for NPN1"}, "Range", NumberColBox,
			{Visibility( "Collapse" )}
		)
	)
);

I hope this answer will help you,

Victor GUILLER
L'Oréal Data & Analytics

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)