Distributions in the stats package [
R-manual
]
Choose a distribution:
Beta
Binomial
Cauchy
Chisquare
Exponential
FDist
GammaDist
Geometric
Hypergeometric
Lognormal
NegBinomial
Normal
Poisson
TDist
Uniform
Weibull
SignRank
Wilcoxon
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n: number of observations
a: positive parameter of the Beta distribution
b: positive parameter of the Beta distribution
ncp: non-centrality parameter
size: number of trials (zero or more)
prob: probability of success on each trial
location: location parameter
scale: scale parameter
df: degrees of freedom (non-negative, but can be non-integer)
ncp: non-centrality parameter (non-negative)
rate: [vector of] rates
df1: degrees of freedom
df2: degrees of freedom
ncp: non-centrality parameter
shape: shape parameter, must be positive
scale: scale parameter, must be strictly positive
prob: probability of success in each trial
m: the number of white balls in the urn
n: the number of black balls in the urn
meanlog: mean of the distribution on the log scale
sdlog: standard deviation of the distribution on the log scale
size
prob
size: target for number of successful trials, or dispersion parameter (the shape parameter of the gamma mixing distribution)
parametrization via prob or mean?
prob
mean
prob: probability of success in each trial
mu: alternative parametrization via mean
mean: vector of means
sd: vector of standard deviations
lambda: vector of (non-negative) means
df: degrees of freedom (> 0, maybe non-integer)
ncp: non-centrality parameter delta
min, max: lower and upper limits of the distribution
shape: shape parameter
scale: scale parameter
n: number of observations in the sample
m: numbers of observations in the first sample
n: numbers of observations in the second sample
Plot
Summary