I want to plot three different functions, where two of them are continous and only one is discrete. This is how I generate the three of them:
Packages I am using:
library(tidyr) library(ggplot2) library(MCMCpack) library(plotfunctions)
X=rpois(20,20) #data generation alpha=sum(X)+64 theta=seq(0,30,by=0.01) #Priori n=length(X) priori=dgamma(theta,64,4) #Likelihood theta1=seq(0,30) likelihood=dpois(X,theta) #Posteriori posteriori=dgamma(theta,shape = alpha, rate = n+4)
This is the plot I am using:
plot(theta,priori,type="l",col="black",ylim = c(0,0.5),xlab = expression(paste(theta)),ylab = "Density") add_bars(theta,likelihood) lines(theta,posteriori,type="l",col="green") legend(21,0.5,legend=c("Priori","Likelihood","Posteriori"),col = c("black","red","green"),lty = 1:3,bty="n")
When I try to run it, I get the follwing message:
Error in add_bars(theta, likelihood) : Different lengths of x and y.
How can I include the likelihood density within the plot?
https://stackoverflow.com/questions/67352414/how-to-plot-density-functions-with-different-length-in-r May 02, 2021 at 10:11AM
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