Distributions in the stats package

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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

Distributions in the stats package [R-manual]