Proc UNIVARIATE

This is one of the best procedures for descriptive statistics in SAS. This procedure provides descriptive statistics, histograms that optionally can be fitted with probability density curves, cumulative distribution function plots, quantile-quantile plots (Q-Q plots), probability plots, and probability-probability plots (P-P plots), goodness-of-fit tests for a variety of distributions including the normal.

This procedure is a powerful procedure that has the ability to inset summary statistics on plots, analyze data sets with a frequency variable, and create output data sets containing summary statistics, histogram intervals, and parameters of fitted curves

proc sort data=dataname1; by var2; 

proc univariate data=dataname1 

                noprint 

                nextrobs=10 

                freq 

                plot; 

var var10 var4; 

histogram / vscale= var10 

            vaxis=0 to 6000 by 500 

            vminor=100 

            midpoints= 0 to 15 by 1 

            normal 

            weibull 

            lognormal 

            gamma;

inset   n 

        min 

        max 

        sum 

        mean(5.3) 

        std='Std Dev'(5.3) 

        skewness(5.3) 

        / pos = ne 

          header = 'Summary Statistics'; 

by var2; 

id var10 var6 var4; 

where var3 > 100; 

output out=Meansdata mean=nMean aadtMean; 

output out=nStats mean=nMean std=nSD min=nMin max=nMax;

run;