方差与协方差分析

函数

 `anova` Analysis of variance (ANOVA) results (自 R2022b 起)
 `boxchart` Box chart (box plot) for analysis of variance (ANOVA) (自 R2022b 起) `groupmeans` Mean response estimates for analysis of variance (ANOVA) (自 R2022b 起) `multcompare` Multiple comparison of means for analysis of variance (ANOVA) (自 R2022b 起) `plotComparisons` Interactive plot of multiple comparisons of means for analysis of variance (ANOVA) (自 R2022b 起) `stats` Analysis of variance (ANOVA) table (自 R2022b 起) `varianceComponent` Variance component estimates for analysis of variance (ANOVA) (自 R2022b 起)
 `anova1` One-way analysis of variance `anova2` Two-way analysis of variance `anovan` N-way analysis of variance `canoncorr` Canonical correlation `dummyvar` Create dummy variables `friedman` Friedman’s test `kruskalwallis` Kruskal-Wallis test `multcompare` Multiple comparison test
 `aoctool` Interactive analysis of covariance

主题

• One-Way ANOVA

Use one-way ANOVA to determine whether data from several groups (levels) of a single factor have a common mean.

• Two-Way ANOVA

In two-way ANOVA, the effects of two factors on a response variable are of interest.

• N-Way ANOVA

In N-way ANOVA, the effects of N factors on a response variable are of interest.

• ANOVA with Random Effects

ANOVA with random effects is used where a factor's levels represent a random selection from a larger (infinite) set of possible levels.

• Other ANOVA Models

N-way ANOVA can also be used when factors are nested, or when some factors are to be treated as continuous variables.

• Multiple Comparisons

Multiple comparison procedures can accurately determine the significance of differences between multiple group means.

• Analysis of Covariance

Analysis of covariance is a technique for analyzing grouped data having a response (y, the variable to be predicted) and a predictor (x, the variable used to do the prediction).

• Nonparametric Methods

Statistics and Machine Learning Toolbox functions include nonparametric versions of one-way and two-way analysis of variance.