Next: COMPUTE, Previous: AGGREGATE, Up: Data transformations [Contents][Index]
AUTORECODE VARIABLES=src_vars INTO dest_vars [ /DESCENDING ] [ /PRINT ] [ /GROUP ] [ /BLANK = {VALID, MISSING} ]
The AUTORECODE
procedure considers the n values that a variable
takes on and maps them onto values 1…n on a new numeric
variable.
Subcommand VARIABLES
is the only required subcommand and must come
first. Specify VARIABLES
, an equals sign (‘=’), a list of source
variables, INTO
, and a list of target variables. There must the same
number of source and target variables. The target variables must not
already exist.
AUTORECODE
ordinarily assigns each increasing non-missing value
of a source variable (for a string, this is based on character code
comparisons) to consecutive values of its target variable. For
example, the smallest non-missing value of the source variable is
recoded to value 1, the next smallest to 2, and so on. If the source
variable has user-missing values, they are recoded to
consecutive values just above the non-missing values. For example, if
a source variables has seven distinct non-missing values, then the
smallest missing value would be recoded to 8, the next smallest to 9,
and so on.
Use DESCENDING
to reverse the sort order for non-missing
values, so that the largest non-missing value is recoded to 1, the
second-largest to 2, and so on. Even with DESCENDING
,
user-missing values are still recoded in ascending order just above
the non-missing values.
The system-missing value is always recoded into the system-missing variable in target variables.
If a source value has a value label, then that value label is retained for the new value in the target variable. Otherwise, the source value itself becomes each new value’s label.
Variable labels are copied from the source to target variables.
PRINT
is currently ignored.
The GROUP
subcommand is relevant only if more than one variable is to be
recoded. It causes a single mapping between source and target values to
be used, instead of one map per variable. With GROUP
,
user-missing values are taken from the first source variable that has
any user-missing values.
If /BLANK=MISSING
is given, then string variables which contain only
whitespace are recoded as SYSMIS. If /BLANK=VALID
is specified then they
are allocated a value like any other. /BLANK
is not relevant
to numeric values. /BLANK=VALID
is the default.
AUTORECODE
is a procedure. It causes the data to be read.
In the file personnel.sav, the variable occupation is a string
variable. Except for data of a purely commentary nature, string variables
are generally a bad idea. One reason is that data entry errors are easily
overlooked. This has happened in personnel.sav; one entry which should
read “Scientist” has been mistyped as “Scrientist”. In Example 12.2
first, this error is corrected by the DO IF
clause,
3
then we use AUTORECODE
to
create a new numeric variable which takes recoded values of occupation.
Finally, we remove the old variable and rename the new variable to
the name of the old variable.
get file='personnel.sav'. * Correct a typing error in the original file. do if occupation = "Scrientist". compute occupation = "Scientist". end if. autorecode variables = occupation into occ /blank = missing. * Delete the old variable. delete variables occupation. * Rename the new variable to the old variable's name. rename variables (occ = occupation). * Inspect the new variable. display dictionary /variables=occupation. |
Notice in Result 12.1, how the new variable has been automatically allocated value labels which correspond to the strings of the old variable. This means that in future analyses the descriptive strings are reported instead of the numeric values.
|
One must use care when correcting such data input errors rather than msimply marking them as missing. For example, if an occupation has been entered “Barister”, did the person mean “Barrister” or did she mean “Barista”?
Next: COMPUTE, Previous: AGGREGATE, Up: Data transformations [Contents][Index]