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Oct 10, 2014 8:07 AM
(1708 views)

Most JMP platforms have a "By" option which performs the analysis separately for each level of a variable. I am particularly interested in the Distribution and the Fit Model (GLM) platforms.

The Scripting Index (accessible through the help menu) gives this example:

Names Default To Here( 1 );

dt = Open( "$SAMPLE_DATA/Big Class.jmp" );

Distribution(

By( :Sex ),

SendToByGroup(

{:sex == "F"},

Continuous Distribution(

Column( :weight ),

Normal Quantile Plot( 1 )

)

),

SendToByGroup(

{:sex == "M"},

Continuous Distribution(

Column( :weight )

)

)

);

In the example above, and in the scripts I can generate through the Fit Model platform, the levels of the variable are specified explicitly.

Can a script automate the execution for whatever the levels are in the dataset? E.g. I'd like not to specify the levels manually, because I need to repeat the same analysis on different datasets, each of which has different levels. Think of an analysis by city, with one dataset having NY and LA, another having London and Paris, etc.

Thank you!

1 ACCEPTED SOLUTION

Accepted Solutions

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Oct 10, 2014 8:48 AM
(2946 views)

Solution

NamesDefaultToHere**(****1****)**;

// Make a table with a 'By' variable with a random number of levels (between 2 and 5)

nr = **100**;

nc = **3**;

dt = NewTable**(**"Some Data"**)**;

For**(**c=**1**, c<=nc, c++,

dt << **NewColumn****(**"Col "||Char**(**c**)**, Numeric, Continuous, Formula**(**RandomNormal**()))**;

**)**;

dt << **AddRows****(**nr**)**;

cols = dt << **GetColumnNames****(**"String"**)**;

dt << **NewColumn****(**"By", Numeric, Continuous, Formula**(**RandomInteger**(****1**, RandomInteger**(****2**,**5****))))**;

// Do distribution

dt << **Distribution****(**Columns**(**Eval**(**cols**))**, By**(** :By **))**;

2 REPLIES

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Oct 10, 2014 8:48 AM
(2947 views)

NamesDefaultToHere**(****1****)**;

// Make a table with a 'By' variable with a random number of levels (between 2 and 5)

nr = **100**;

nc = **3**;

dt = NewTable**(**"Some Data"**)**;

For**(**c=**1**, c<=nc, c++,

dt << **NewColumn****(**"Col "||Char**(**c**)**, Numeric, Continuous, Formula**(**RandomNormal**()))**;

**)**;

dt << **AddRows****(**nr**)**;

cols = dt << **GetColumnNames****(**"String"**)**;

dt << **NewColumn****(**"By", Numeric, Continuous, Formula**(**RandomInteger**(****1**, RandomInteger**(****2**,**5****))))**;

// Do distribution

dt << **Distribution****(**Columns**(**Eval**(**cols**))**, By**(** :By **))**;

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Oct 10, 2014 9:35 AM
(1473 views)