I have a dataframe concerning manner of death from death certificates,
from 2005 to 2009 inclusive, with the following structure:
> str(MannerYoung.plot.data)
'data.frame': 245 obs. of 4 variables:
$ year : Factor w/ 5 levels "2005","2006",..: 1 2 3 4 5 1 2 3 4 5 ...
$ manner : Factor w/ 7 levels "Accident","Homicide",..: 1 1 1 1
1 2 2 2 2 2 ...
$ new.age.group: Factor w/ 7 levels "1 to 4","5 to 9",..: 1 1 1 1 1 1
1 1 1 1 ...
$ Freq : int [omitted from this post]...
>
new.age.group categorizes age of death in 5-year age bands.
The following makes a nice lattice scatterplot, with a panel for each
age-band, year on the horizontal axis,and frequency on the veritcal
axis.
xyplot(Freq~year | new.age.group, groups=manner,
data=MannerYoung.plot.data, type="l", auto.key =
list(text=levels(MannerYoung.plot.data$manner), lines=TRUE,
points=FALSE, space = "top"),
layout=c(length(levels(MannerYoung.plot.data$new.age.group)),1))
Except that the year tick labels overlap each other. I thought I would
try to label only every other tick, using scales(), like this:
xyplot(Freq~year | new.age.group, groups=manner,
data=MannerYoung.plot.data, type="l",
scales=list(x=list(at=c(2005,2007,2009),
labels=c("2005","2007","2009"))), auto.key =
list(text=levels(MannerYoung.plot.data$manner), lines=TRUE,
points=FALSE, space = "top"),
layout=c(length(levels(MannerYoung.plot.data$new.age.group)),1))
This draws the panels, vertical axis, horizontal axes, with the
odd-numbered years, everything as desired, except that there are no
lines in the panels--no actual content.
I suppose I could decrease the font size for the year labels, using
cex(), and that cured the overlap, but I wanted to understand
scales().
Where am I going wrong?
Thanks.
--Chris Ryan
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