The New Column by Text Matching option enables you to use regular expressions (which identify patterns in text) to match text in a column and then create a new column from the matched text. This feature is an alternative to using the Text Explorer platform to write regular expressions and then save the results to a column.
The following example shows how to select cat, cats, dog, and dogs in a column and put the values in new columns.
dt = Open( "$SAMPLE_DATA/Pet Survey.jmp" );
dt << New Column by Text Matching(
Column( :Survey Response ),
Set Regex(
Custom(
Title( "Cat" ),
/* finds "cat", optionally followed by "s",
with either a space or period afterward. */
Regex( "(cat(?:s?))([\s\.])" ),
Result( "\[\1]\" ), // results in the value matched by (cat...)
),
),
Output Column Name( "Instances of Cats" )
);
dt << New Column by Text Matching(
Column( :Survey Response ),
Set Regex(
Custom(
Title( "Dog" ),
Regex( "(dog(?:s?))([\s\.])" ),
Result( "\[\1]\" ),
),
),
Output Column Name( "Instances of Dogs" )
);
For more information about using regular expressions in JSL, see Regular Expressions. To learn more about regular expressions, visit Regular-Expressions.info.