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deleted_user
Not applicable
In proc mean or proc summary, statistics remove the observation to perform mean caculation if it is '.'

Is there any option in Proc Mean or Summary that can perform mean caculation which include observation with '.' as observation ?

I don't want to change '.' to 0 in data step.
2 REPLIES 2
Peter_C
Rhodochrosite | Level 12
if you want to treat missing as zero, you'll need to do that before the proc.
However, you can use a VIEW which means you have only one copy of your data. You can create either an SQL view or a Data Step view, like: [pre]data Mzero /view= mZero ;
set your.original_data ;
array nums _numeric_ ;
do over nums ;
nums = coalesce( nums, 0 );
end ;
run ;
proc means data= Mzero ;
run;[/pre]

good luck
PeterC
deleted_user
Not applicable
Thanks!

It just confirm that there is no option in Proc Mean or summary to caculate statistics to include '.' as a valid observation. I have to replce '.' as 0 in data step first.

JL

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