Two Way Anova Assumptions In R. Your dependent variable here weight should be continuous that is measured on a scale which can be subdivided using increments ie. ANOVA in R can be done in several ways of which two are presented below.
Outliers were assessed by box plot method normality was assessed using Shapiro-Wilks normality test and homogeneity of variances was assessed by. We can check this assumption in R using two approaches. ANOVA in R can be done in several ways of which two are presented below.
ANOVA assumes that the variances of the populations that the samples come from are equal.
A two-way ANOVA was conducted to examine the effects of gender and education level on job satisfaction score. Your dependent variable here weight should be continuous that is measured on a scale which can be subdivided using increments ie. Homoscedasticity The variation around the mean for each group being compared should be similar among all groups. To fit the two-way ANOVA model we use this code.
