[R] Lattice Histogram with Normal Curve - Y axis as percentages
peter dalgaard
pdalgd at gmail.com
Tue May 6 09:20:18 CEST 2014
This illustrates why you really do not want percents... (I never quite understand why people do want them - I can understand raw counts wheh used in teaching as a precursor to the concept of a density, but percentages is an odd in-between sort of thing.)
Anyways, the scaling factor is the bin width (you figure out whether to multiply or divide, I get it wrong every second time), possibly multiplied by 100%. A pragmatic way out would seem to be switch out dnorm with dnorm_scaled <- function(...) scale*dnorm(...) in the call to panel.mathdensity.
-Peter D
On 05 May 2014, at 22:23 , jimdare <james.dare at es.govt.nz> wrote:
> 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)), ...)
> })
>
>
>
> --
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> Sent from the R help mailing list archive at Nabble.com.
>
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--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com
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