Hello,
This may seem like a simple problem, but it's frustrating me immensely. I'm
trying to overlay a normal curve (dnorm) on top of a histogram using the
code below. This works find when the type = "density", but the person for
whom I'm making the plot wants the y axis in percent of total rather than
density. When I change type to "percent", I get the histogram scale I'm
after, but the dnorm plot is greatly reduced. How could I scale the density
plot to the percent of total axis. Alternatively, perhaps there is a way to
add density to a secondary y axis?
Thanks in advance for your help.
Jimdare
plot<-histogram(~rdf[,j]|Year,nint=20, data=rdf,main = i,strip =
my.strip,xlab = j,
type = "percent",layout=c(2,1),
panel=function(x, ...) {
panel.histogram(x, ...)
panel.mathdensity(dmath=dnorm, col="black",
# Add na.rm = TRUE to mean() and sd()
args=list(mean=mean(x, na.rm = TRUE),
sd=sd(x, na.rm = TRUE)), ...)
})
--
View this message in context:
http://r.789695.n4.nabble.com/Lattice-Histogram-with-Normal-Curve-Y-axis-as-percentages-tp4690000.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
