# sbinom

0th

Percentile

##### Abstract definitions of distributions

Functions returning values for summary statistics (mean, median, etc.) of distributions

Keywords
misc
##### Usage
sbeta(shape1, shape2)
sbetabinom(size, prob, theta)
sbinom(size, prob)
snbinom(size, prob, mu)
snorm(mean, sd)
spois(lambda)
slnorm(meanlog, sdlog)
##### Arguments
prob

probability as defined for dbinom, dnbinom, or beta-binomial distribution (dbetabinom in the emdbook package)

size

size parameter as defined for dbinom or dbetabinom in the emdbook package, or size/overdispersion parameter as in dnbinom

mean

mean parameter as defined for dnorm

mu

mean parameter as defined for dnbinom

sd

standard deviation parameter as defined for dnorm

shape1

shape parameter for dbeta

shape2

shape parameter for dbeta

lambda

rate parameter as defined for dpois

theta

overdispersion parameter for beta-binomial (see dbetabinom in the emdbook package)

meanlog

as defined for dlnorm

sdlog

as defined for dlnorm

##### Value

title

name of the distribution

[parameters]

input parameters for the distribution

mean

theoretical mean of the distribution

median

theoretical median of the distribution

mode

theoretical mode of the distribution

variance

theoretical variance of the distribution

sd

theoretical standard deviation of the distribution

##### Note

these definitions are tentative, subject to change as I figure this out better. Perhaps construct functions that return functions? Strip down results? Do more automatically?

dbinom, dpois, dnorm, dnbinom

• sbinom
• spois
• snbinom
• snorm
• sbeta
• sbetabinom
• slnorm
##### Examples
# NOT RUN {
sbinom(prob=0.2,size=10)
snbinom(mu=2,size=1.2)
# }

Documentation reproduced from package bbmle, version 1.0.23.1, License: GPL

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