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- How can I automate random row selection?

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Jul 16, 2013 7:52 AM
(2711 views)

Hello All,

I'm pretty new to JMP and even newer to JSL. I'm trying to write a script that subsets a number of rows based on the following specifications: if the original table has 1-15 rows, then the subset of the original table is 2 rows, if the original has 16-25 then the subset of that table is 3 rows, if the orginal has 26-90 then the subset table is 5 rows, etc. Basically just a script to automate .

subset>random-sample size: [user inputs number] >ok based on a specified range of rows. So far I've tried the following:

New Script ("Random Row Check,

if (n row==1::15, current data table()<<subset(sample size(2))),

if (n row==16::25, current data table()<<subset(sample size(3))),

if (n row==26::90, current data table()<<subset(sample size(5))),

if (n row==91::150, current data table()<<subset(sample size(6))),

if (n row==151::280,current data table()<<subset(sample size(7))),

if (n row==281::500, current data table()<<subset(sample size(9))),

if (n row >=501, current data table()<<subset(sample size(15))),

)

This script returns an empty data table. I know this must be something simple, but I can't seem to the forest for the the trees. Thanks for any help!

1 ACCEPTED SOLUTION

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Jul 16, 2013 8:06 AM
(4642 views)

You're almost there. Try this:

n = nrows**(**current data table**())**;

if **(**n <= **15**, current data table**()** << subset**(**sample size**(****2))**,

n <= **25**, current data table**()** << subset**(**sample size**(****3))**,

n <= **90**, current data table**()** << subset**(**sample size**(****5))**,

n <= **150**, current data table**()** << subset**(**sample size**(****6))**,

n <= **280**, current data table**()** << subset**(**sample size**(****7))**,

n <= **500**, current data table**()** << subset**(**sample size**(****9))**,

n >= **501**, current data table**()** << subset**(**sample size**(****15))**,

**)**

2 REPLIES

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Jul 16, 2013 8:06 AM
(4643 views)

You're almost there. Try this:

n = nrows**(**current data table**())**;

if **(**n <= **15**, current data table**()** << subset**(**sample size**(****2))**,

n <= **25**, current data table**()** << subset**(**sample size**(****3))**,

n <= **90**, current data table**()** << subset**(**sample size**(****5))**,

n <= **150**, current data table**()** << subset**(**sample size**(****6))**,

n <= **280**, current data table**()** << subset**(**sample size**(****7))**,

n <= **500**, current data table**()** << subset**(**sample size**(****9))**,

n >= **501**, current data table**()** << subset**(**sample size**(****15))**,

**)**

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Jul 16, 2013 8:25 AM
(2563 views)

Thanks so much! This is exactly what I needed