fit_univariate | R Documentation |
Fit Univariate Distribution
fit_univariate(x, distribution, type = "continuous")
x |
numeric vector |
distribution |
character name of distribution |
type |
discrete or continuous data |
a fitted list object of d, p, q, r distribution functions and parameters, MLE for probability distributions, custom fit for empirical
# Fit Discrete Distribution set.seed(42) x <- rpois(1000, 3) fitted <- fit_univariate(x, 'pois', type = 'discrete') # density function plot(fitted$dpois(x=0:10), xlab = 'x', ylab = 'dpois') # distribution function plot(fitted$ppois(seq(0, 10, 1)), xlab= 'x', ylab = 'ppois') # quantile function plot(fitted$qpois, xlab= 'x', ylab = 'qpois') # sample from theoretical distribution summary(fitted$rpois(100)) # estimated parameters from MLE fitted$parameters set.seed(24) x <- rweibull(1000, shape = .5, scale = 2) fitted <- fit_univariate(x, 'weibull') # density function plot(fitted$dweibull, xlab = 'x', ylab = 'dweibull') # distribution function plot(fitted$pweibull, xlab = 'x', ylab = 'pweibull') # quantile function plot(fitted$qweibull, xlab = 'x', ylab = 'qweibull') # sample from theoretical distribution summary(fitted$rweibull(100)) # estimated parameters from MLE fitted$parameters
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