Categorical | R Documentation |
Create a Categorical distribution
Categorical(outcomes, p = NULL)
outcomes |
A vector specifying the elements in the sample space. Can be numeric, factor, character, or logical. |
p |
A vector of success probabilities for each outcome.
Each element of |
A Categorical
object.
Other discrete distributions:
Bernoulli()
,
Binomial()
,
Geometric()
,
HurdleNegativeBinomial()
,
HurdlePoisson()
,
HyperGeometric()
,
Multinomial()
,
NegativeBinomial()
,
Poisson()
,
ZINegativeBinomial()
,
ZIPoisson()
,
ZTNegativeBinomial()
,
ZTPoisson()
set.seed(27) X <- Categorical(1:3, p = c(0.4, 0.1, 0.5)) X Y <- Categorical(LETTERS[1:4]) Y random(X, 10) random(Y, 10) pdf(X, 1) log_pdf(X, 1) cdf(X, 1) quantile(X, 0.5) # cdfs are only defined for numeric sample spaces. this errors! # cdf(Y, "a") # same for quantiles. this also errors! # quantile(Y, 0.7)
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