One other way that is sometimes useful is to use the
tick.number argument as in:
xyplot(yield ~ nitro, data=Oats,
scales=list(x=list(tick.number=4)), subset=Variety=="Victory"
)
This is especially handy if you want to just tick/label
every other value.
-Peter Ehlers
Jacob Wegelin wrote:
When we call a lattice function such as xyplot, to what extent does
the "data" designation cause the function to look inside the "data"
for variables?
In the examples below, the "subset" argument understands that
"Variety" is a variable in the data.
But the "scales" argument does not understand that "nitro" is a
variable in the data.
What principle is at work?
library(MEMSS)
# The following works fine:
xyplot(
yield ~ nitro
, data=Oats
, scales=list(
x=list(
at=unique(Oats$nitro)
)
)
, subset=Variety=="Victory"
)
# But the following returns an error:
xyplot(
yield ~ nitro
, data=Oats
, scales=list(
x=list(
at=unique(nitro)
)
)
)
Thanks for any insight
Jacob A. Wegelin
Assistant Professor
Department of Biostatistics
Virginia Commonwealth University
730 East Broad Street Room 3006
P. O. Box 980032
Richmond VA 23298-0032
U.S.A.
E-mail: jwege...@vcu.edu
URL: http://www.people.vcu.edu/~jwegelin
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