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# Geometric Mean and Harmonic Mean in SAS

Posted on 2007-04-11
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Last Modified: 2013-11-16
How does one compute Geometric Mean of a column in a SAS dataset? Also Harmonic mean?
It seems possible to compute GM of a row in SAS, but that would require using PROC TRANSPOSE. I couldn't find how to compute this directly for one or more columns. It seems  surprising that this fairly mundane descriptive statistic.

thanks in advance.

- stochastic
0
Question by:stochastic
• 2
4 Comments

LVL 2

Expert Comment

Stochastic,

You're right - proc means will not do this. Why not???
Anyway, I think will the following SAS code will.
Note - comment out all lines using PRODUCT if you have a lot of variables >1, otherwise the numbers get too big!

/* dataset to try code on */
data tst;
length VAR 8.;
do VAR=1 to 10;
output;
end;
run;

/* datastep to calculate all sorts of means */
data tst_m (keep=ARITHMETIC_MEAN GEOMETRIC_MEAN_A GEOMETRIC_MEAN_B HARMONIC_MEAN);
set tst end=EOF;
retain COUNT PRODUCT SUM SUM_LOGS SUM_INV;

length COUNT PRODUCT SUM SUM_LOGS SUM_INV ARITHMETIC_MEAN GEOMETRIC_MEAN_A GEOMETRIC_MEAN_B HARMONIC_MEAN 8.;

LOG_VAR = log(VAR);

/* initialise to 0 */
if _N_=1 then do;
COUNT= 0 ;
PRODUCT=1;
SUM_LOGS = 0;
SUM =0 ;
SUM_INV = 0;
end;

/* note - product gets too big in most cases, so sum logs instead */
COUNT=COUNT+1;
PRODUCT=PRODUCT*VAR;
SUM_LOGS=SUM_LOGS+LOG_VAR;
SUM=SUM+VAR;
SUM_INV=SUM_INV+1/VAR;

if EOF then do;
ARITHMETIC_MEAN = SUM/COUNT;
GEOMETRIC_MEAN_A = PRODUCT**(1/COUNT);
GEOMETRIC_MEAN_B = exp((1/COUNT)*SUM_LOGS);
HARMONIC_MEAN = 1/(SUM_INV/COUNT);
output;
end;
run;
0

LVL 2

Accepted Solution

andymcooper earned 500 total points
Stochastic,

Just thought that you may need to calculate means for each category in a dataset. The following code works like a proc means with a by statement. It works the same way as the previous code, but stores the results into temporary arrays as it goes along.

%let NCATS = 4;

data tst (keep=VAR CAT);
length VAR 8.;
do i=1 to 10;
CAT = 1;
VAR = i;
output;
end;
do CAT=2 to &NCATS;
do i=1 to 10;
VAR = ranuni(1);
output;
end;
end;
run;

/* calculate different sorts of means, and split the results by CAT */
/* note this only works if the categories are numeric variables */
/* if not, convert them to one using an informat */

proc sort data=tst; by CAT; run; quit;

data tst_m (keep=CAT ARITHMETIC_MEAN GEOMETRIC_MEAN_A GEOMETRIC_MEAN_B HARMONIC_MEAN);
set tst end=EOF;
by CAT;

/* setup arrays */
array COUNT{&NCATS} _temporary_;
array PRODUCT{&NCATS} _temporary_;
array SUMS{&NCATS} _temporary_;
array SUM_LOGS{&NCATS} _temporary_;
array SUM_INV{&NCATS} _temporary_;

length ARITHMETIC_MEAN GEOMETRIC_MEAN_A GEOMETRIC_MEAN_B HARMONIC_MEAN 8.;

LOG_VAR = log(VAR);

/* initialise to 0 */
if first.CAT then do;
COUNT{CAT}= 0 ;
PRODUCT{CAT}=1;
SUM_LOGS{CAT} = 0;
SUMS{CAT} =0 ;
SUM_INV{CAT} = 0;
end;

/* note - product gets too big in most cases, so sum logs instead */
/* store all sums and counts in temporary arrays, at the position for this category */
COUNT{CAT}=COUNT{CAT}+1;
PRODUCT{CAT}=PRODUCT{CAT}*VAR;
SUM_LOGS{CAT}=SUM_LOGS{CAT}+LOG_VAR;
SUMS{CAT}=SUMS{CAT}+VAR;
SUM_INV{CAT}=SUM_INV{CAT}+1/VAR;

if EOF then do;
/* output arrays into a long dataset */
do CAT=1 to &NCATS;
ARITHMETIC_MEAN = SUMS{CAT}/COUNT{CAT};
GEOMETRIC_MEAN_A = PRODUCT{CAT}**(1/COUNT{CAT});
GEOMETRIC_MEAN_B = exp((1/COUNT{CAT})*SUM_LOGS{CAT});
HARMONIC_MEAN = 1/(SUM_INV{CAT}/COUNT{CAT});
output;
end;
end;
run;

Andy
0

LVL 8

Author Comment

andymcooper,

I apologize for the delayed response. Thanks for your suggestions, I will try them out. Meanwhile
I'm accepting your comment as a solution. What remains is the curiosity about why this isn't a built-in feature.

- stochastic
0

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