Summary
Is there a way to add gridlines to interaction plots made with the stats package?
If gridlines are unfeasible, then adding y-axis point labels would also be helpful.
I'm also open to using a different package to create a similar plot.
Example:
#make this example reproducible
set.seed(10)
#create data frame
data <- data.frame(gender = rep(c("Male", "Female"), each = 30),
exercise = rep(c("None", "Light", "Intense"), each = 10, times = 2),
weight_loss = c(runif(10, -3, 3), runif(10, 0, 5), runif(10, 5, 9),
runif(10, -4, 2), runif(10, 0, 3), runif(10, 3, 8)))
#create interaction plot
interaction.plot(x.factor = data$exercise, #x-axis variable
main = paste("Interaction plot of weight loss and exercise intensity",
"This example is slightly modified from this source:",
"https://www.statology.org/interaction-plot-r/",
sep="\n"),
trace.factor = data$gender, #variable for lines
response = data$weight_loss, #y-axis variable
fun = median, #metric to plot
ylab = "Weight Loss",
xlab = "Exercise Intensity",
col = c("red", "blue"),
lty = 1, #line type
lwd = 2, #line width
trace.label = "Gender",
type = "b",
pch = c(19,17))