Turns out the method I originally suggested is unnecessarily cumbersome.
A more elegant method is described below.
On Sat, 29 Sep 2001, Donald Burrill wrote in part:
> COPY c1-c35 to c41-c75; # Always retain the original data
> OMIT c1 = '*';
> OMIT c2 = '*';
> . . .
I second Dennis' question. While indeed "MINITAB recognizes the missing
values", what it does with them depends on the procedure being used:
e.g., for CORRelation it uses all cases for which each pair of variables
is complete ("pairwise deletion of missing data"), and therefore, for a
data set l
unless you have a million rows ... seems like using the data window and
just sliding over each row and highlight and delete ... would be easy
by the way, why do you want to get rid of entire rows just because
(perhaps) one value is missing? are you not wasting alot of useful data?
At 06:16 PM
I have a dataset which has about 35 column. Many of the cells have missing
values. Since MINITAB recognizes the missing values, I can perform the
statistical work I need to do and don't need to worry about the missing
values. However, I would like to be able to obtain the subset of
observations
I have a dataset which has about 35 column. Many of the cells have
missing values. Since MINITAB recognizes the missing values, I can
perform the statistical work I need to do and don't need to worry about
the missing values. However, I would like to be able to obtain the
subset of observations
