G04 (anova) Chapter Introduction – a description of the Chapter and an overview of the algorithms available
| Routine Name |
Mark of Introduction |
Purpose |
| g04agf
Example Text Example Data |
8 | nagf_anova_hier2 Two-way analysis of variance, hierarchical classification, subgroups of unequal size |
| g04bbf
Example Text Example Data |
16 | nagf_anova_random Analysis of variance, randomized block or completely randomized design, treatment means and standard errors |
| g04bcf
Example Text Example Data |
17 | nagf_anova_rowcol Analysis of variance, general row and column design, treatment means and standard errors |
| g04caf
Example Text Example Data |
16 | nagf_anova_factorial Analysis of variance, complete factorial design, treatment means and standard errors |
| g04daf
Example Text Example Data |
17 | nagf_anova_contrasts Computes sum of squares for contrast between means |
| g04dbf
Example Text Example Data |
17 | nagf_anova_confidence Computes confidence intervals for differences between means computed by g04bbf or g04bcf |
| g04eaf
Example Text Example Data |
17 | nagf_anova_dummyvars Computes orthogonal polynomials or dummy variables for factor/classification variable |
| g04gaf
Example Text Example Data |
26.1 | nagf_anova_icc Intraclass correlation (ICC) for assessing rater reliability |