gagen = function(k,lambda){
i = 0
result = 0
for (i in 1:k){
result = result + expgen(lambda)
}
return (result)
}
gagen.visual <- function(k, lambda)
{
library(ggpubr)
library(ggplot2)
c <- c()
for (i in 1:1000)
c[i] <- gagen(k, lambda)
q1=qplot(c,fill=..count..,geom="histogram")+
theme_classic()+
scale_fill_gradient(low="blue", high="red")+
labs(x="value",y="count",title="Gamma Distribution")+
theme(plot.background = element_rect(fill = "linen",color = "blue"))+
theme(panel.background = element_rect(fill = "linen",color = "linen"))
q2=qplot(c,geom="density")+
theme_classic()+
labs(x="value",y="count",title="Gamma Distribution")+
theme(plot.background = element_rect(fill = "linen",color = "blue"))+
theme(panel.background = element_rect(fill = "linen",color = "linen"))
ggarrange(q1,q2,nrow = 2)
}
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