I know this is two years later, but this is for all those who found this post with the same question.
Try the function "Get Selected Rows" in your script.
yourarray = dt << Get Selected Rows;
Now the array "yourarray" will contain a list of the row numbers that are selected.
To find the rows with the maximum value, try
// finds the maximum value in the columnt peakvalue = Col Max( :columname); // selects all rows with the maximum value. (dt is the name of the data table.) dt << Select Where( :columnname == peakvalue); // stores a list of the row numbers with the maximum value in this array yourarray = dt << Get Selected Rows;
Sorry, you´re right. I was too quick to answer. I will edit my erroneous post above
What I wanted to suggest is that you can try to combine Summary with Update (or Join, I am not sure Update is found in the JMP7 Tables Menu).
Here's a script example that should work but may be ineffective for very large data tables.
dt = Open( "$SAMPLE_DATA/Big Class.jmp" ); dt << clear select; Summarize( g = by( :sex ), m = Max( :age ) ); For( j = 1, j <= N Items( g ), j++, For Each Row( If( :sex == g[j] & :age == m[j], Row State() = Selected State( 1 ) ) ) );
For Each Row() can be inefficient for large tables.
Select Where() will probably be faster:
dt = Open( "$SAMPLE_DATA/Big Class.jmp" ); dt << clear select; Summarize( g = by( :age ), m = Max( :height ) ); dt<<Select Where(:height==m[loc(g,char(:age) )]);
I got JMP10 and revisited this problem. "Join" using column matching works well. I guess table "update" seems would be even more straightforward.