geom_ribbon cutting off weirdly when intercepting with x-axis

rajivkk1

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Jun 15, 2015, 6:40:23 AM6/15/15

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Hello! I just wanted to make a basic plot using geom_ribbon. Here's an example:

Firstly I get my dataset:

x_vec <- 1:100
y_vec <- seq(1,200,2)
data <- data.frame(x=x_vec,y=y_vec) #y=2x

This is essentially data of the form y=2x.

Then I plot it using geom_ribbon as such:

ggplot(data, aes(x=x,y=y)) + 
      geom_ribbon(aes(ymax=y+5,ymin=y-5), alpha=0.5) + #make a semi-transparent ribbon
      scale_y_continuous(limits=c(10,100),expand=c(0,0)) + #set the limits and remove and margins within the plot for y-axis  
      scale_x_continuous(expand=c(0,0)) #remove margins within plot for x-axis

And I obtain this:

As you can see, the ribbon does this ugly thing where it cuts of vertically instead of going all the way to the x-axis. I would like to get something like this (which I did quickly using paint just for demonstration):

Can anyone help me with that? Thank you :)

Richard Zijdeman

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Jun 15, 2015, 7:10:37 AM6/15/15

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Hi, thanks for you well setup question. Since you refer to the behaviour as ‘ugly’ I was wondering whether your point is just about aesthetics and if so, if you’re really ready to modify appropriate plotting behaviour. Ribbon adds colour directly above and below the plotted point, not to the side of a plotted point. What you’re asking for is different plotting behaviour at the extremes of your x-variable. Add ‘+ geom_point’ to your plot, and you’ll see that everywhere the grey ribbon is appropriately plotted.

Good luck,

Richard

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Brian

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Jun 15, 2015, 7:12:10 AM6/15/15

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Hash: SHA256

sometimes it's hard to know where to look.
- From ?stat_summary:
# Don't use ylim to zoom into a summary plot - this throws the
# data away
ergo:

ggplot(data, aes(x=x,y=y)) +
geom_ribbon(aes(ymax=y+5,ymin=y-5), alpha=0.5) +

coord_cartesian(ylim = c(0, 100))

will get you a little closer.
Best
Brian

On 06/15/2015 08:08 AM, rajivkk1 wrote:
> ggplot(data, aes(x=x,y=y)) + geom_ribbon(aes(ymax=y+5,ymin=y-5),
> alpha=0.5)

rajivkk1

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Jun 15, 2015, 5:34:03 PM6/15/15

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This worked perfectly! Thanks for taking the time to answer my question :)

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