Hi,
I have no issue to achieve the objective in JMP.
In JSL, I can do pieces, but want it not to specific cols tied to a data set.
Most immediate is that my list of selected cols isn't right to be evaluated as a list for the distribution platform and want to understand what to correct.
I've referenced this post. Script multiple columns grouped in distribution plot
dt = Open("$Sample_Data/Semiconductor Capability.jmp");
cnames = dt << get column names("Continuous", "string");
//Here I will just use 10
cnames = cnames[1::10];
dist = dt << Distribution(Columns(evalList(cnames)));
In my case:
- my variable isn't a list of column names, but selected cols? - This breaks the dist plot
- had the col grouping working, but broken here, just selecting the cols
also had a couple cases where the cols are selected, distribution platform brought up, but waiting for user to select cols.
dt = Current Data Table();
all_col_names = dt << get column names( string );
number_columns = N Cols( dt );
dt << Clear Column Selection;
//2. Containing Keyword Column Grouping
found_list = {};
keyword_group_list = {"ParamOne","ParamTwo"};
//3. Loop over columns keywords to group
For( i = 1, i <= N Items( keyword_group_list ), i++,
found_list = {};
For( k = 1, k <= N Items( col_names ), k++,
If( contains( col_names[k], keyword_group_list[i] )>0,
Insert Into( found_list, col_names[k] );
As Column( col_names[k] ) << Set Selected( 1 );
);
);
);
col_to_plot = dt << Get Selected Columns;
distParams = dt << Distribution(Columns(evalList(col_to_plot)));
distParams << arrange in rows(3);
report(distParams)[OutlineBox(2)] << Open all like this(1);
For writing spec limits to data table I've been using the Add in, but want to see how to integrate the call to this as part of overall script. Write Limits to a Data Table from a Limits Table
Then, I'll need suggestions how to include like below, but refer to a generic col[i]
I'm fine to experiment to extract the Cpk as a table from the report.
SendToReport(
Dispatch(
{"ParamOne_a"},
"1",
ScaleBox,
{Label Row( Show Major Labels( 0 ) )}
)
)