1 확률분포함수

이항분포(Binomial Distribution) - binom(x, size, prob)
다항분포(Multinomial Distribution) - multinom(n, size, prob)
기하분포(Geometric Distribution) - geom(x, prob)
초기하분포(Hypergeometric Distribution) - hyper(x, m, n, k)
포아송분포(Poisson Distribution) - pois(x, lambda)
균일분포(Uniform Distribution) - unif(x, min=0, max=1)
정규분포(Normal Distribution) - norm(x, mean=0, sd=1)
지수분포(Exponential Distribution) - exp(x, rate=1)
감마분포(Gamma Distribution) - gamma(x, shape,scale)
베타분포(Beta Distribution) - bete(x, shape1, shape2)
코쉬분포(Cauchy Distribution) - cauchy(x,Location=0,scale=1)
로그정규분포(Log-normal Distribution) - lnorm(x, meanlog=0, sdlog=1)
와이블분포(Weibull Distribution) - weibull(x, shape, sclae=1)
로지스틱분포(Logistic Distribution) - logis(x, Location=0, scale=1)
T-분포(t-Distribution) - t(x, df)
F-분포(F-Distribution) - f(x, df1, df2)
Chi-분포(Chi-square Distribution) - chisq(x, df)

• d, p, q, r 접두사 붙는당..