is.bern: is.bern
In DnE: Distribution and Equation

Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/is.bern.R

judge if the data obeys bernoulli distribution.

1	is.bern(x)

x

data

Given a set of observations from a certain distribution, this function is used to test whether the observations are from a distribution of Bernoulli or not. Usually, to ensure the function works well, the sample size needs to be large enough, i.e. the result will be stable if the sample size is larger than 100.

if the data possibly obeys bernoulli distribution, return a value named qchisq which represents the possibility. The larger qchisq is, the larger the possibility will be; else return -1.

please pay attention to the definition of parameters in our functions.

JunYao Chen, CuiYi He, BoXian Wei

ROBERT V. HOGG/ALLEN T. CRAIG (Fifth Edition) Introduction Mathematical Statistics.

is.dt , DnE-package

require(stats)
examplecheck<-rbinom(100,1,0.3)
is.bern(examplecheck)
##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.