lattice histogram for multiple variables : adjusting x axis
I have a large data frame and I want to look at the distribution of
each variable very quickly by plotting an individual histogram for
each variable.
I'd like to do so using lattice.
Here is a small example using the iris data set:
histogram(as.formula(paste("~",paste(colnames(iris[,!sapply(iris,is.
factor)]),collapse="+"))),data=iris[,!sapply(iris,is.factor)])
However in this graphic, the x-axis and the breaks are the same for
all 4 variables. I would like them to be adjusted to the data in
each panel separately. I have tried using the scales argument to no
avail:
histogram( as.formula(paste("~",paste(colnames(iris[,!sapply(iris,
is.factor)]),collapse="+"))) ,data=iris[,!sapply(iris,is.factor)],
scales=list(x=list(relation="free")) )
How can I individualize the x-axis and breaks for each individual panel?
You're on the right track. If you don't specify a breaks argument, then
histogram calculates a common axis and breaks across all the panels.
Declaring breaks=NULL will force it to calculate them for each panel.
histogram(
as.formula(paste("~",paste(colnames(iris[,!sapply(iris,is.factor)]),collapse="+"))),
data=iris[,!sapply(iris,is.factor)],
scales=list(x=list(relation="free")),
breaks=NULL
)
You can also specify a hist-style method, e.g. breaks="Sturges" to get
what you want.
Regards,
Richie.
Mathematical Sciences Unit
HSL
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