The NPAR1WAY Procedure

Overview

The NPAR1WAY procedure performs nonparametric tests for location and scale differences across a one-way classification. PROC NPAR1WAY also provides a standard analysis of variance on the raw data and statistics based on the empirical distribution function.

PROC NPAR1WAY performs tests for location and scale differences based on the following scores of a response variable: Wilcoxon, median, Van der Waerden, Savage, Siegel-Tukey, Ansari-Bradley, Klotz, and Mood Scores. Additionally, PROC NPAR1WAY provides tests using the raw input data as scores. When the data are classified into two samples, tests are based on simple linear rank statistics. When the data are classified into more than two samples, tests are based on one-way ANOVA statistics. Both asymptotic and exact p-values are available for these tests.

PROC NPAR1WAY also calculates the following empirical distribution function (EDF) statistics: the Kolmogorov-Smirnov statistic, the Cramer-von Mises statistic, and, when the data are classified into only two samples, the Kuiper statistic. These statistics test whether the distribution of a variable is the same across different groups. Only asymptotic p-values are available for these tests.

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