To implement the binomial distribution using R programming.
dbinom(x, size= ,prob=)
Gives height of the probability distributionat each point pbinom(x, size= ,prob=)
Gives the cumulative probability ofan event qbinom(p, size= ,prob=)
It takes the probability value and givesa number whose cumulative value matchesthe probability value.
rbinom(x, size= ,prob=) Used to generate random numberswhose distribution is binomial.
x -- vector
Size -- Number of success trials
Prob -- Probability of success trails
#Binomial Distribution
#dbinom
x<-seq(-10,100,by=1)
y<-dbinom(x,size= 100,prob=0.6)
plot(x,y,col=”blue”)
#pbinom
y<-pbinom(x,size =100,prob=0.3)
plot(x,y,col=”red”)
#qbinom
y<-qbinom(p=0.25,size=100,prob=0.5)
print(y)
#rbinom
x<-rbinom(100,size=100,prob=0.8)
hist(x,col=285)