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R में Bayesian डेटा विश्लेषण की बुनियाद

Rasmus Bååth

Data Scientist

सिमुलेशन बनाम कैलकुलेशन

n_visitors <- rbinom(n = 100000, size = 100, prob = 0.1)
sum(n_visitors == 13) / length(n_visitors)

0.074

dbinom(13, size = 100, prob = 0.1)

0.074

dbinom(13, size = 100, prob = 0.1) + dbinom(14, size = 100, prob = 0.1)

0.126

n_visitors = seq(0, 100, by = 1)
probability <- dbinom(n_visitors, size = 100, prob = 0.1)

n_visitors

0 1 2 3 4 5 6 7 ...

probability

0.000 0.000 0.002 0.006 0.016 0.034 0.060 0.089 ...

plot(n_visitors, probability, type = "h")

x <- runif(n = 100000, min = 0.0, max = 0.2)
hist(x)

dunif(x = 0.12, min = 0.0, max = 0.2)

x = seq(0, 0.2, by=0.01)
dunif(x, min = 0.0, max = 0.2)

5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5

R में Bayesian डेटा विश्लेषण की बुनियाद