I think this might be a problem with the package, and you can try to
contact the package author.
The error seem to arise because the pcr() cannot find the
x <- rnbinom(500, mu = 4, size = 100)
pcr(x, distribution = "negative-binomial")
When I look in the code of pcr(), there is some testing against the
words 'negative binomial' (note the missing -), although the
documentation clearly lists 'negative-binomial' as a possible
Unfortunately changing 'negative-binomial' to 'negative binomial' does
not help, as
pcr(x, distribution = "negative binomial")
throws the error "object '.confintnbinom' not found" and a lot of
On 2020-08-12 12:50, Prasad DN wrote:
> Hi All,
> i am very new to R and need guidance.
> Need help in doing process capability Analysis for my data set (6
> months of
> data) given in below format:
> Date | Opportunities | Defectives | DefectivesInPercent
> I searched and found that pcr() from QualityTools package can be used
> this purpose. The USL is 2% defectives.
> MyData = read.csv(file.choose()) #select CSV file that has data in
> mentioned format.
> x <- MyData$DefectivesInPercent
> pcr(x, distribution = "negative-binomial", usl=0.02)
> I get error message as:
> Error in pcr(x, distribution = "negative-binomial", usl = 0.02) :
> y distribution could not be found!
> Please advise, how to proceed?
> Prasad DN
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