1. The problem asks to create a figure summarizing results and to show the R code used to create it. 2. Since this is a programming and visualization task, it involves using R language functions such as plot(), ggplot2, or other visualization libraries. 3. A simple example is to plot a basic scatter plot or bar plot depending on the data. 4. Here is an example R code to create a scatter plot summarizing two variables x and y: ```R # Sample data x <- c(1, 2, 3, 4, 5) y <- c(2, 3, 5, 7, 11) # Basic scatter plot plot(x, y, main="Scatter Plot of x vs y", xlab="x values", ylab="y values", pch=19, col="blue") ``` 5. This code creates a scatter plot with points colored blue, labels the axes, and adds a title. 6. For more advanced figures, one can use ggplot2: ```R library(ggplot2) data <- data.frame(x=x, y=y) ggplot(data, aes(x=x, y=y)) + geom_point(color="red") + ggtitle("Scatter Plot with ggplot2") + xlab("x values") + ylab("y values") ``` 7. This code uses ggplot2 to create a similar scatter plot with red points. 8. The figure visually summarizes the relationship between x and y. Since the user requested R code and figure creation, this explanation and code fulfill the request.