script for creating a table of p values

[#1]

I have a large table of 40 rows (4 groups of 10 samples) and 10000 columns of values—

1. Is there a way for me to quickly run t-tests/ANOVA comparing particular group against another group, for each of those columns and list the p-values in a table to quickly sort through to understand the ones that are significantly different? 

2. Also, is it possible to set the p-value is such test to correct for multiple correction?

Thanks

[#2 · Accepted solution]

Run the Response Screening Platform and it will do that for you

     Analyze==>Screening==>Response Screening

[#3]

Thanksf or the fast response - wouldn't have guessed this is what it would do.

Is there a way to trigger this from a script, selecting only particular rows for this analysis, based on data in couple other columns (ie. some way to subset/filter), without having to make that table first?

[#4]

You can use the ability to set the Row State for given rows to be Excluded from the subsequent analysis.

Is this what you are trying to do?

[#5]

Thanks, excluding all the rows I DON'T want does get me where I need to go.

[#6]

Is there a way to choose between parametric vs. non-parametric/rank test to be used in this? None of the options available in the dialog seem to apply. Thanks.

[#7]

Is there a way to force the system to used a paired test to generate the p-vals? Thanks.

[#8]

JMP 13 and JMP 14

     Analyze==>Specialized Modeling==>Matched Pairs

JMP 12 and earlier

     Analyze==>Matched Pairs

For future reference, this information can be found in the Statistics Index, searching on "paired"

     Help==>Statistics Index

[#9]

Thanks - but am not sure if this is the one I want. What I want is more like, what I get if I use:
Analyze==>Fit Y by X; and from red triangle pull down, use "Matching column"
This gives me the pre-vs-post paired comparison I am looking for, but would like to run this for the 20K columns as mentioned above.

[#10]

Here is a sample script that might be close to what you want.  I had to guess a bit at what matching you were going to do.  But, it creates a table of output for all 127 columns in the data table.

Names Default To Here( 1 );

// Create a data table somewhat similar to your description
dtorig = Open( "$SAMPLE_DATA\semiconductor capability.jmp" );

dt = dtorig << Subset( Sample Size( 10 ), Selected columns only( 0 ), Stratify( :SITE ) );

Close( dtorig, nosave );

// Get all of the tests
colNamesList = dt << get column names( continuous );

// In my example, I am using the first column as the matching column
// so remove it from the list
colNamesList = Remove( colNamesList, 1, 1 );

// Run the Fit Y by X(Oneway)
fg = Fit Group(
	Oneway(
		Y( Eval( colNamesList ) ),
		X( :SITE ),
		Matching Column( :NPN1 ),
		X Axis Proportional( 0 ),
		Matching Lines( 1 ),
		SendToReport(
			Dispatch( {}, "Oneway Plot", FrameBox, {Grid Line Order( 2 ), Reference Line Order( 3 )} ),
			Dispatch( {}, "Matching Fit", OutlineBox, {Close( 0 )} )
		)
	)
);

// Create the output table
Report( fg )[Table Box( 3 )] << make combined data table;

// Close the report output
Report( fg ) << close window;