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multiple graphs on one plot

Hi Jim,

Many thanks for your help and yes CW is carapace width. Here is the final
coding I used...I set the peak of the curves at max frequency bin for each
sex. I also added the means and SD's from my data. According to my visual
diagnostics (qqplots, density plots) the frequency distributions do appear
normally distributed in this case. To be honest Ive struggled to find
whether CW is normally distributed in mud crab populations or not.


f<- lf_crabs$cw[lf_crabs$sex=='female']
m<- lf_crabs$cw[lf_crabs$sex=='male']

# find mean and sd to determine normal curve dimensions
m_m <-mean(m)
sd_m <-sqrt(var(m))
m_f <-mean(f)
sd_f <-sqrt(varf(f))

mf <- list(f,m)
multhist(mf, xlab="CW", ylab="Frequency", ylim=c(0,100),main="All Measured
Crabs", col=c("dark gray", "light gray"),
         breaks=seq(90,210, by=10),beside=TRUE,space=c(0,0.5))
legend("topright", c("Females", "Males"), fill=c("dark gray", "light gray"))
lines(seq(0,32,length.out=121),rescale(dnorm(90:210,145.4867,20.99906),c(0,50)),col="dark
gray",lwd=2)
lines(seq(0,32,length.out=121),rescale(dnorm(90:210,151.0783,21.88299),c(0,80)),col="light
gray",lwd=2)
abline(v=145.4867,lwd=2,col="red")
On Mon, 13 May 2019 at 17:30, Jim Lemon <drjimlemon at gmail.com> wrote: