I'm trying to figure out how to modify a scatter-plot that contains two groups of data along a continuum separated by a large gap. The graph needs a break on the x-axis as well as on the regression line.
This R code using the ggplot2 library accurately presents the data, but is unsightly due to the vast amount of empty space on the graph. Pearson's correlation is -0.1380438.
library(ggplot2)
p <- ggplot(, aes(x = dis, y = result[, 1])) + geom_point(shape = 1) +
xlab("X-axis") +
ylab("Y-axis") + geom_smooth(color = "red", method = "lm", se = F) + theme_classic()
p + theme(plot.title = element_text(hjust = 0.5, size = 14))
This R code uses gap.plot to produce the breaks needed, but the regression line doesn't contain a break and doesn't reflect the slope properly. As you can see, the slope of the regression line isn't as sharp as the graph above and there needs to be a visible distinction in the slope of the line between those disparate groups.
library(plotrix)
gap.plot(
x = dis,
y = result[, 1],
gap = c(700, 4700),
gap.axis = "x",
xlab = "X-Axis",
ylab = "Y-Axis",
xtics = seq(0, 5575, by = 200)
)
abline(v = seq(700, 733) , col = "white")
abline(lm(result[, 1] ~ dis), col = "red", lwd = 2)
axis.break(1, 716, style = "slash")
Using MS Paint, I created an approximation of what the graph should look like. Notice the break marks on the top as well as the discontinuity between on the regression line between the two groups.