如何建立表的子集並從循環中附加數據你好，
我有一組數據（見附件）。我想檢查列上的每一行（根據特定條件），然後隔離不滿足該條件的行並將它們子集到新的資料表中。我希望能夠對多個列重複此操作（其中每個列都有自己的標準），並繼續添加到我最初建立的子集表中。我在這方面遇到了一些麻煩，希望有人能提供幫助。
這就是我正在做的：
path = "xxxxxxx/";
data_table = Open( path || "Sample Data.jmp" );
Sub_Table = New Table( "Rejected Parts Table", invisible );
New_table = data_table;
For( k = 1, k < N Col( New_table ), k++,
Print( k );
New_table << select where( Column( 1 + k )[] >= 0.2 | Column( 1 + k )[] <= 0.02 );
alp = New_table << Subset( Selected Rows, output table name( "subset" ) );
alp << Concatenate( Sub_Table, output table name( "Rejected Parts Table" ) ) <<
Save( path || "Rejected Parts.jmp" );
Close( alp );
New_table << delete rows();
);
回覆：如何建立表格的子集並從循環中追加數據對所有列使用相同標準的替代方法：
dt = Data Table( "Sample Data.jmp" );
r = Loc( V Sum( Transpose( !(0.02 < dt << get as matrix < 0.2) ) ) );
dt << Subset( rows( r ), output table name( "Rejected Parts Table" ) );
dt << delete rows( r );
當每列都有自己的標準時，情況會稍微複雜一些，例如：
dt = Data Table( "Sample Data.jmp" );
upper = [0.2 0.3 0.2 0.4 0.2];
lower = [0.02 0.03 0.02 0.04 0.02];
r = Loc( V Sum( Transpose( !(Repeat( lower, N Row( dt ) ) < dt << get as matrix < Repeat( upper, N Row( dt ) )) ) ) );
dt << Subset( rows( r ), output table name( "Rejected Parts Table" ) );
dt << delete rows( r );
回覆：如何建立表格的子集並從循環中追加數據這有點棘手。主要修復是在 select 語句中使用 AS COLUMN。我更改了邏輯以使用 get rows where 並建立要子集/刪除的行列表。get_unique_values 函數由本論壇提供！
get_unique_values = Function( {in_list},
{Default Local},
tmp = [=> 0];
Insert Into( tmp, in_list );
tmp << get keys;
);
path = "c:\temp\";
New_table = Open( path || "Sample Data.jmp" );
all_selected_rows = [];
For( k = 1, k < N Col( New_table ), k++,
Print( k );
selected_rows = new_table << get rows where( As Column( 1 + k ) >= .2 | As Column( 1 + k ) <= .02 );
// Append the rows we just found to the master list
If( N Rows( selected_rows ) > 0,
all_selected_rows = all_selected_rows |/ selected_rows
);
);
// Convert matrix to a list and get unique values
all_selected_list = get_unique_values( As List( all_selected_rows ) );
alp = New_table << Subset( rows( all_selected_list ), output table name( "Rejected Parts Table" ) );
alp << Save( path || "Rejected Parts.jmp" );
Close( alp );
New_table << delete rows( all_selected_list );
