Learn R Programming

DAMisc (version 1.3)

cat2Table: Fitted Values and CIs for 2-Categorical Interactions

Description

This function makes a table of fitted values and confidence intervals for all of the combinations of two categorical variables in an interaction.

Usage

cat2Table(eff.obj, digits, rownames=NULL, colnames=NULL)

Arguments

eff.obj
An object generated by effect from the effects package where the effect is calculated for two factors involved in an interaction.
digits
Number of digits of the fitted values and confidence intervals to print.
rownames
An optional vector of row names for the table, if NULL, the levels of the factor will be used
colnames
An optional vector of column names for the table, if NULL, the levels of the factor will be used

Value

  • A matrix of fitted values and confidence intervals

Examples

Run this code
library(car)
data(Duncan)
Duncan$inc.cat <- cut(Duncan$income, 3)
mod <- lm(prestige ~ inc.cat*type + income, data=Duncan)
e1 <- effect("inc.cat*type", mod)
cat2Table(e1)

Run the code above in your browser using DataLab