SAS/STAT Software

ANOVA Procedure

The ANOVA procedure performs analysis of variance for balanced data from a wide variety of experimental designs. Use PROC ANOVA for the analysis of balanced data only, with the following exceptions: one-way analysis of variance, Latin squares designs, certain partially balanced incomplete block designs, completely nested (hierarchical) designs, designs with cell frequencies that are proportional to each other and are also proportional to the background population. These exceptions have designs in which the factors are all orthogonal to each other. The procedure enables you to do the following:

  • absorb classification effects in a model
  • perform multivariate analysis of variance (MANOVA)
  • compute and compare means
  • perform multiple comparison tests
  • perform multivariate and univariate repeated measurements analysis of variance
  • specify variables to define subgroups for the analysis
  • construct tests that use the sum of squares for effects and the error term you specify
  • create a data set that contains sums of squares, degrees of freedom, F statistics, and probability levels for each effect in the model
  • create a data set that corresponds to any output table
  • automatically produce graphs by using ODS Graphics

For further details see the ANOVA Procedure