Geom_line() in ggplot2 is not working as expected for a simple dataset. What is going on?

I'm trying to create a simple line plot in ggplot2 with a dataframe, but the results aren't appearing as expected.

Here is the code to reproduce the data:

tograph<-data.frame(PANEL=13:22,total=c(10,20,30,40,50,60,70,80,90,100))

And when I graph the results in ggplot2, it just creates a straight vertical line at PANEL=1 (SO won't let me post images at this time)

ggplot(data=tograph,aes(x=PANEL,y=total))+geom_line()

As a sanity check, I ran some example data I found on a different post to make sure it wasn't something unique to my installation of R and it worked fine

xValue <- 1:10
yValue <- cumsum(rnorm(10))
data <- data.frame(xValue,yValue)

# Plot
ggplot(data, aes(x=xValue, y=yValue)) +
  geom_line()

Similarly, graphing my intended data in base R also works fine, but I'd prefer to set it up in ggplot2 for aesthetic reasons:

plot(tograph$PANEL,tograph$total,type="l")

Any help with fixing this is much appreciated.

Solution

It looks like PANEL is a protected data.frame variable name in ggplot2. Use a different variable name, like panel.

(I suspect it has something to do with how ggplot2 processes the incoming data to prepare to plot it. e.g. from here:

compute_layout: Based on layer data compute a mapping between #' panels, axes, and potentially other parameters such as faceting variable #' level etc. This method must return a data.frame containing at least the #' columns PANEL, SCALE_X, and SCALE_Y each containing #' integer keys mapping a PANEL to which axes it should use. In addition the #' data.frame can contain whatever other information is necessary to assign #' observations to the correct panel as well as determining the position of #' the panel.

ggplot(data.frame(PANEL=13:22,
                  total=c(10,20,30,40,50,60,70,80,90,100)),
       aes(PANEL,total)) + geom_point()

ggplot(data.frame(panel=13:22,
                  total=c(10,20,30,40,50,60,70,80,90,100)),
       aes(panel,total)) + geom_point()