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ANOVA (and R) - The ANOVA Controversy. ANOVA is a statistical process for analysing the amount of variance that is contributed to a sample by different ...

2011/3/2 -The anova and aov functions in R implement a sequential sum of squares (type I). As indicated above, for unbalanced data, this rarely tests a ...

If your data are unbalanced, you should conduct an ANOVA with Type II or Type III sums of squares. To do this, you can use the Anova() function in the car ...

2019/11/29 -The goal of a 2-way ANOVA is to split the total variation of a dependent variable (measured as Sums of Squares) into different sources of ...

2020/5/13 -The choice between Type II and Type III sums of squares in ANOVA and ANOVA-like models is a pretty obscure topic, but potentially important.

2023/12/1 -Type II looks at each main effect in the model, but unlike Type I, it does not depend on the order of terms. It's particularly useful for models ...

Type I (sequential) anova is given by the R command “anova(modl)”. It shows how the RSS decreases as each predictor is added to the model. It changes if you ...

2020/3/20 -A two-way ANOVA is used to estimate how the mean of a quantitative variable changes according to the levels of two categorical variables. Use a ...

2013/5/29 -Type II gets around the order issue in Type I and compares sensible models (unlike Type III). Main effects are tested with all other main ...

Type II sum of squares are similar to Type III, except that they preserve the principle of marginality. This means that main factors are tested in light of one ...