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

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

View source: R/is.norm.R

judge if the data obeys normal distribution.

1	is.norm(x, m, a)

`x`	data
`m`	the number of intervals you want to divide the data in, default value is 10
`a`	significance level

Given a set of observations from a certain distribution, this function is used to test whether the observations are from a distribution of normal distribution 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. The function will work better if the number of intervals you choose to divide the data in is between 10 and 20. This number cannot excess the number of given oberservations.

if the data possibly obeys normal 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<-rnorm(100,0,1)
is.norm(examplecheck,10,0.05)
##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.