"DiscreteDistribution"
EmpiricalDistribution(data, .withArith=FALSE, .withSim=FALSE, .lowerExact = TRUE, .logExact = FALSE, .DistrCollapse = getdistrOption("DistrCollapse"), .DistrCollapse.Unique.Warn = getdistrOption("DistrCollapse.Unique.Warn"), .DistrResolution = getdistrOption("DistrResolution"), Symmetry = NoSymmetry())
supp
, prob
distributional arithmetics was involved, you may set this to TRUE
.supp
, prob
simulations were involved, you may set this to TRUE
.lower.tail=FALSE
part is calculated exactly, avoing a ``1-.
''.d,p,q
,
we make particular use of a logarithmic representation to enhance accuracy..DistrResolution
are
collapsed.unique()
(default behaviour if .DistrCollapse
is FALSE
)Symmetry=SphericalSymmetry(center)
."DiscreteDistribution"
DiscreteDistribution
.Typical usage is
EmpiricalDistribution(data)
DiscreteDistribution
DiscreteDistribution-class
x <- rnorm(20)
D1 <- EmpiricalDistribution(data = x)
D1
plot(D1)
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