If dtPinGroups is a list of variables I think Eval() is needed:
Eval(dtPinGroups[i]) << Distribution( Column(:Leakage_Data));
If you have a list of current table names (as strings) this should also work:
Data Table(dtPinGroupNames[i]) << Distribution( Column(:Leakage_Data));
To build commands as a string – like in PMroz' example – is great to have in your tool box, especially when more straightforward methods refuse to work. But I usually try a direct method first, simply because I find it easier to code (and to read). The former of the approaches above applied to PMroz' example would be:
dt1 = Open("$sample_data/Big Class.jmp");
dt2 = Open("$sample_data/Animals.jmp");
dt3 = Open("$sample_data/Analgesics.jmp");
dtpingroups = {dt1, dt2, dt3};
dtpingroupnames = {"Big Class", "Animals", "Analgesics"};
var_list = {:height, :miles, :pain};
wind = {};
For(i = 1, i <= N Items(dtpingroups), i++,
wind[i] = New Window("Leakage_" || dtpingroupnames[i] || "_Distribution",
Eval(dtpingroups[i]) << Distribution(Continuous Distribution(Column(var_list[i])))
)
);
Try an approach like this:
dt1 = open("$sample_data/Big Class.jmp");
dt2 = open("$sample_data/Animals.jmp");
dt3 = open("$sample_data/Analgesics.jmp");
for (i = 1, i <= nitems(dtpingroups), i++,
one_expr = evalinsert(
"\[ wind = new window("Leakage ^dtpingroupnames^_Distribution",
^dtpingroups^ << Distribution( Continuous Distribution( Column(^var_list^ ) ) )
);]\");
eval(parse(one_expr));
I had to build the commands dynamically as a string and then execute them with eval(parse()).
Thank you! That worked perfectly!
That also worked perfectly! (and it is much easier for me to understand what is going on!) Thank you!!
