UNIVARIATE Procedure

The UNIVARIATE procedure now produces graphs that conform to ODS styles, so that creating consistent output is easier. Also, you now have two alternative methods for producing graphs. With traditional graphics you can control every detail of a graph through familiar procedure syntax and GOPTION and SYMBOL statements. With ODS Graphics you can obtain the highest quality output with minimal syntax and full compatibility with graphics produced by SAS/STAT and SAS/ETS procedures.

The new CDFPLOT statement plots the observed cumulative distribution function (cdf) of a variable and enables you to superimpose a fitted theoretical distribution on the graph. The new PPPLOT statement creates a probability-probability plot (also referred to as a P-P plot or percent plot), which compares the empirical cumulative distribution function (ecdf) of a variable with a specified theoretical cumulative distribution function. The beta, exponential, gamma, lognormal, normal, and Weibull distributions are available in both statements.