mauna mauna - 2 years ago 284
R Question

In R, what does the error "need at least one panel" mean and how to fix it?

The following code is from the book "R in Action", listing 16.1:


gear <- factor(gear, levels=c(3, 4, 5),
labels=c("3 gears", "4 gears", "5 gears"))
cyl <- factor(cyl, levels=c(4, 6, 8),
labels=c("4 cylinders", "6 cylinders", "8 cylinders"))

main="Density Plot",
xlab="Miles per Gallon")

densityplot(~mpg | cyl,
main="Density Plot by Number of Cylinders",
xlab="Miles per Gallon")

bwplot(cyl ~ mpg | gear,main="Box Plots by Cylinders and Gears",
xlab="Miles per Gallon", ylab="Cylinders")

xyplot(mpg ~ wt | cyl * gear,
main="Scatter Plots by Cylinders and Gears",
xlab="Car Weight", ylab="Miles per Gallon")

cloud(mpg ~ wt * qsec | cyl,
main="3D Scatter Plots by Cylinders")

dotplot(cyl ~ mpg | gear,
main="Dot Plots by Number of Gears and Cylinders",
xlab="Miles Per Gallon")

splom(mtcars[c(1, 3, 4, 5, 6)],
main="Scatter Plot Matrix for mtcars Data")


I am able to plot only the first density plot and the last plot, splom(...). The rest of the plots give me the following error:

Error in limits.and.aspect(default.prepanel, prepanel = prepanel, have.xlim = have.xlim, :
need at least one panel

What does this error mean and how do I fix it?

I have just started learning R and the version I am using is:

R version 3.1.0 (2014-04-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)

[1] LC_COLLATE=English_Malaysia.1252 LC_CTYPE=English_Malaysia.1252
[3] LC_MONETARY=English_Malaysia.1252 LC_NUMERIC=C
[5] LC_TIME=English_Malaysia.1252

attached base packages:
[1] stats graphics grDevices utils datasets methods base

other attached packages:
[1] lattice_0.20-29

loaded via a namespace (and not attached):
[1] grid_3.1.0


Output of search() is:

[1] ".GlobalEnv" "mtcars" "package:lattice"
[4] "package:stats" "package:graphics" "package:grDevices"
[7] "package:utils" "package:datasets" "package:methods"
[10] "Autoloads" "package:base"

Answer Source

I had the same problem when I copy the code from QuickR. I solved it by changing the levels of gear and cyl from int to string since the values in the dataset are all strings.

cyl.f <-factor(cyl,levels=c("4cyl","6cyl","8cyl"),
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