Create a table showing the mean of an Outcome variable, by two other variables, where one is shown in the Rows and the other in the Columns. Each row shows a separate one-way analysis of variance, with the variance parameter assumed constant across all of the rows (unless using robust standard errors). If the Outcome is not numeric and if the Rows and Columns are not categorical, they are coerced to such types.
Technical details
The Output
Inputs
Outcome The variable to be predicted.
Rows A variable containing 2 or more groups. If not categorical, it is converted into categories in the analysis.
Columns A variable containing 2 or more groups. If not categorical, it is converted into categories in the analysis.
Correction The multiple comparisons correction applied when computing the p-values of the post-hoc comparisons.
Robust standard errors Computes standard errors that are robust to violations of the assumption of constant variance. See Robust Standard Errors.
Variable names Displays Variable Names in the output.
Filter The data is automatically filtered using any filters prior to estimating the model.
Weight Where a weight has been set for the R Output, the calibrated weight is used. See Weights in R.
Acknowledgements
The linear model is fitted using the lm and manova functions in R. See Analysis of Variance - ANOVA for acknowledgements relating to the ANOVAs in the outputs.