def missingValues(self):
        """Get/Set MISSING VALUES.
        User missing values are values that will not be included in
        calculations by SPSS. For example, 'don't know' might be coded as a
        user missing value (a value of 999 is typically used, so when vairable
        'age' has values 5, 15, 999, the average age is 10). This is
        different from 'system missing values', which are blank/null values.
        Takes a dictionary of the following form:
          {'someNumvar1': {'values': [999, -1, -2]}, # discrete values
           'someNumvar2': {'lower': -9, 'upper':-1}, # range "-9 THRU -1"
           'someNumvar3': {'lower': -9, 'upper':-1, 'value': 999},
           'someStrvar1': {'values': ['foo', 'bar', 'baz']},
           'someStrvar2': {'values': 'bletch'}}      # shorthand """
        missingValues = {}
        for varName in self.varNames:
            missingValues[varName] = self._getMissingValue(varName)
        return missingValues
Get/Set MISSING VALUES.
        User missing values are values that will not be included in
        calculations by SPSS. For example, 'don't know' might be coded as a
        user missing value (a value of 999 is typically used, so when vairable
        'age' has values 5, 15, 999, the average age is 10). This is
        different from 'system missing values', which are blank/null values.
        Takes a dictionary of the following form:
          {'someNumvar1': {'values': [999, -1, -2]}, # discrete values
           'someNumvar2': {'lower': -9, 'upper':-1}, # range "-9 THRU -1"
           'someNumvar3': {'lower': -9, 'upper':-1, 'value': 999},
           'someStrvar1': {'values': ['foo', 'bar', 'baz']},
           'someStrvar2': {'values': 'bletch'}}      # shorthand 
recipes/Python/577811_Pythreader__writer_spss_sav_files_Linux_Mac_/recipe-577811.py