NPAR1WAY Procedure
The NPAR1WAY procedure performs nonparametric tests for location and scale differences across a oneway classification.
PROC NPAR1WAY also provides a standard analysis of variance on the raw data and tests based on the empirical distribution function.
The following are highlights of the NPAR1WAY procedure's features:
 performs nonparametric tests for location and scale differences across a oneway classification based on the following scores of a response variable
 Wilcoxon
 median
 Van der Waerden (normal)
 Savage
 SiegelTukey
 AnsariBradley
 Klotz
 Mood
 Conover
 raw data
 computes tests based on simple linear rank statistics when the data are classified into two samples
 computes tests based on oneway ANOVA statistics when the data are classified into more than two samples

 provides asymptotic, exact pvalues, and exact midpvalues for tests
 provides HodgesLehmann estimate of location shift including exact confidence limits
 provides tests based on Conover scores inclusing exact tests
 provides stratified rankbased analysis of twosample data
 computes the following empirical distribution function (EDF) statistics:
 KolmogorovSmirnov test
 Cramervon Mises test
 Kuiper test
 performs BY group processing, which enables you to obtain separate analyses on grouped observations
 creates a SAS data set that corresponds to any output table
 automatically creates graphs by using ODS Graphics

For further details see the NPAR1WAY Procedure
Examples