library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
observationweight<-1/3
 
#your code here - modifies jdist for example
observationnumber<-1000000
randomobservations<-rJohnson(observationnumber, jdist)
newobservations<-rep(observation,times=round(observationweight*observationnumber/100))
randomobservations<-append(randomobservations,newobservations)
jdist<-JohnsonFit(randomobservations)
#
 
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#lines(xvals,yvals,col="red")

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