重复测量和 MANOVA
方差分析、重复测量建模以及多响应数据的多重比较
Statistics and Machine Learning Toolbox™ 提供了各种函数,可用于单因素、双因素和 N 因素多元方差分析 (MANOVA);方差分析 (ANOVA);重复测量模型;以及协方差分析 (ANCOVA)。重复测量模型是一种回归模型,其中观测值具有多个响应变量。每次观测值的响应通常对应于多次的测量值。MANOVA 过程用于确定多个响应变量的变异是出现在总体组内还是出现在不同总体组之间。
函数
对象
主题
重复测量
- Model Specification for Repeated Measures Models
Learn how to specify a repeated measures model infitrm
. - Mauchly’s Test of Sphericity
Learn the test of sphericity used in repeated measures models. - Compound Symmetry Assumption and Epsilon Corrections
Learn the different epsilon corrections used in p-value calculations in the repeated measures ANOVA when the compound symmetry assumption fails. - Multivariate Analysis of Variance for Repeated Measures
Learn the four different methods used in multivariate analysis of variance for repeated measures models. - Wilkinson Notation
Wilkinson notation provides a way to describe regression and repeated measures models without specifying coefficient values.
MANOVA
- Perform Multivariate Analysis of Variance (MANOVA)
MANOVA is a form of ANOVA with multiple response variables. It determines whether the entire set of means is different from one group to the next.