Günter,
Use recode and beware of missings.
Alan provided the code that visual binning produces.
I use a more conservative recode:
if hight has missings declared as 9 and height varies between 140 and 200:
Freq height /* to get the minimum and the max.
recode height (140 thru 150=1) (151 thru 180=2) (181 thru
200=3)(else=-9) into height_group.
miss val height_group (-9).
Setting missing to -9 is an well-seasoned method to recognize means etc.
which took the missing as a valid value.
- ftr
On 13/12/2014 18:47, Alan Mead wrote:
Guenter,
I have never used visual binning, but I think you want to do something
like this:
* assume height is in cm.
recode height (lo thru 150=1) (151 thru 180=2) (181 thru hi=3) into
height_group.
execute.
-Alan
On 12/13/2014 10:52 AM, G�nter Nimmerfall wrote:
Hello, I'm really new in using PSPP and for that reason I want to
excuse myself if some of my questions seem to be stupid.
I want to show my students how they could collapse height-variables
into groups. I know how to do this in SPSS by using "Visual Binning"
in "Transformation" but I would like to show them to do most data
analysis in PSPP. Is there a tool in PSPP too?
Kind regards,
Guenter
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