Petr Pikal schrieb:
>Hi
>
>answered hundered times.
>
>
>
>>Dear R people:
>>
>>I would like to superimpose a normal curve on a histogram.
>>
>>
>x<-rnorm(150)
>h<-hist(x,breaks=15)
>xhist<-c(min(h$breaks),h$breaks)
>yhist<-c(0,h$density,0)
>xfit<-seq(min(x),max(x),length=40)
>yfit<-dnorm(xfit,mean=mean(x),sd=sd(x))
>plot(xhist,yhist,type="s",ylim=c(0,max(yhist,yfit)))
>lines(xfit,yfit)
>
>
>Bill
>
>above is e.g. Bill Simpson's answer from 2001. Found from R-site
>search ***histogram density normal***.
>
>
Ok If I merge both of your answers I get the graph like in SPSS but the ylab is
density instead frequency:
and I do not have the clicks in SPSS to redo the same graph :-(
I hav only the Data file and the SPSS plot.
x<-5+rnorm(150)
h<-hist(x,breaks=10,freq = TRUE)
#I need this histogramm with...
xfit<-seq(min(x),max(x),length=40)
yfit<-dnorm(xfit,mean=mean(x),sd=sd(x))
lines(xfit,yfit)
h<-hist(x,breaks=10,prob=T)
xfit<-seq(min(x),max(x),length=40)
yfit<-dnorm(xfit,mean=mean(x),sd=sd(x))
# ... this line
lines(xfit,yfit)
Thanks Knut
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