If possible, suspect data should be checked and re-measured.
However, this may not always be feasible, in which case the researcher may
decide to disregard these values.
PSPP has a feature whereby data can assume the special value ‘SYSMIS’, and
will be disregarded in future analysis. See Missing Observations.
You can set the two suspect values to the ‘SYSMIS’ value using the
PSPP> recode height (179 = SYSMIS). PSPP> recode weight (LOWEST THRU 0 = SYSMIS).
The first command says that for any observation which has a
height value of 179, that value should be changed to the SYSMIS
The second command says that any weight values of zero or less
should be changed to SYSMIS.
From now on, they will be ignored in analysis.
For detailed information about the
RECODE command see RECODE.
If you now re-run the
EXAMINE commands in
Example 5.2 and Example 5.3 you
will see a data summary with more plausible parameters.
You will also notice that the data summaries indicate the two missing values.