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Asked: 2026-06-15T09:00:17+00:00

I’ve looked around a fair bit but I am stumped on this one. I

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I’ve looked around a fair bit but I am stumped on this one. I cannot find a way to plot a line that is unassociated with a scatterplot. Here is some of my data and code to clarify the problem. I have data of the following form

> head(allData)
  AnnounceDate MarketProbability DealStatus binary BrierScore
1   2000-04-10         0.3333333   Complete      1  0.2340565
2   2000-06-14         0.2142857   Complete      1  0.3618200
3   2000-06-26         0.6846154   Complete      1  0.3690167
4   2000-06-16         0.1875000   Complete      1  0.4364041
5   2000-10-05         0.9555556   Complete      1  0.3078432
6   2000-10-19         0.8500000   Complete      1  0.2670799

I would like to create a scatter plot of the MarketProbabilities vs. the AnnounceDate, and identify whether a DealStatus is Completed or Terminated using colour.

(ggplot(data=allData, aes(x=AnnounceDate, y=MarketProbability, colour=DealStatus))
 + geom_point() + scale_colour_hue(h = c(180,0)))

enter image description here

I would also like to overlay a rolling Brier score, I have tried

(ggplot(data=allData, aes(x=AnnounceDate, y=MarketProbability, colour=DealStatus))
 + geom_point() + scale_colour_hue(h=c(180,0))
 + geom_line(aes(x=AnnounceDate, y=BrierScore)))

enter image description here

I am confused why two coloured lines are plotted? How do I dissociate the line with the previous plotted data?

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1 Answer

  1. Editorial Team

    As @MattBagg has pointed out, this issue is fixed by moving the aes() for colour out of the main ggplot() call and into the geom_point() call.

    library(ggplot2)

allData = read.table(header=TRUE,
colClasses=c("Date", "numeric", "character", "numeric", "numeric"),
text="AnnounceDate MarketProbability DealStatus binary BrierScore
2000-04-10         0.3333333   Complete      1  0.2340565
2000-06-14         0.2142857   Complete      1  0.3618200
2000-06-26         0.6846154   Complete      1  0.3690167
2000-06-16         0.1875000   Complete      1  0.4364041
2000-10-05         0.9555556   Complete      1  0.3078432
2000-10-19         0.8500000   Complete      1  0.2670799")

p1 = ggplot(data=allData, aes(x=AnnounceDate)) +
     geom_point(aes(y=MarketProbability, colour=DealStatus)) + 
     scale_colour_hue(h = c(180,0)) + 
     geom_line(aes(y=BrierScore))

ggsave(filename="plot_1.png", plot=p1, height=2.5, width=5)

    enter image description here

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