Sigh. Don't do this. Setup your data frame with all the data you want to plot 
and give it to one geom. Use group columns such as factors (e.g. color, size, 
linetype, etc) to distinguish them.

Using multiple geoms with different mappings is usually a recipe for 
disappointment. It also fails to create legible legends.

On April 24, 2021 2:21:01 PM PDT, "Martin Møller Skarbiniks Pedersen" 
<traxpla...@gmail.com> wrote:
>On Fri, 23 Apr 2021 at 20:51, Chris Evans <chrish...@psyctc.org> wrote:
>>
>> I may be quite wrong but isn't the for loop in the second example
>simply
>overwriting/replacing the first p2 with the second whereas the p1
>version
>is adding the paths to p1.
>>
>> (If you see what I mean, I don't think I have expressed that very
>well.)
>>
>> Very best (all),
>>
>> Chris
>
>
>Hi Chris,
>  Thanks for your email. However I don't think that is the problem.
>  Same problem here:
>
>library(ggplot2)
>
>df <- data.frame(x = c(0,25,0,-25,0), y = c(25,0,-25,0,25))
>p1 <- ggplot()
>p1 <- p1 + geom_path(data = df,aes(x = x/1, y = y/1))
>p1 <- p1 + geom_path(data = df,aes(x = x/2, y = y/2))
>p1 <- p1 + xlim(-30,30)
>p1 <- p1 + ylim(-30,30)
>p1
>
>df <- data.frame(x = c(0,25,0,-25,0), y = c(25,0,-25,0,25))
>p3 <- ggplot()
>idx <- 1
>p3 <- p3 + geom_path(data = df,aes(x = x/idx, y = y/idx))
>idx <- 2
>p3 <- p3 + geom_path(data = df,aes(x = x/idx, y = y/idx))
>p3 <- p3 + xlim(-30,30)
>p3 <- p3 + ylim(-30,30)
>p3
>
>       [[alternative HTML version deleted]]
>
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-- 
Sent from my phone. Please excuse my brevity.

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