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NPAR1WAY Procedure


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 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 one-way classification based on the following scores of a response variable
    • Wilcoxon
    • median
    • Van der Waerden (normal)
    • Savage
    • Siegel-Tukey
    • Ansari-Bradley
    • 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 one-way ANOVA statistics when the data are classified into more than two samples
  • provides asymptotic, exact p-values, and exact mid-p-values for tests
  • provides Hodges-Lehmann estimate of location shift including exact confidence limits
  • provides tests based on Conover scores inclusing exact tests
  • provides stratified rank-based analysis of two-sample data
  • computes the following empirical distribution function (EDF) statistics:
    • Kolmogorov-Smirnov test
    • Cramer-von 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 SAS/STAT User's Guide: The NPAR1WAY Procedure
( PDF | HTML )

Examples