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R/detect_normality_outliers.R
In fbRanks: Association Football (Soccer) Ranking via Poisson Regression
detect.normality.outliers=function(x,alpha=0.05){
x=x[!is.na(x)]
mu.x=median(x,na.rm=TRUE)
var.x=mad(x,na.rm=TRUE)
x.ok=(1-pnorm(abs(x-mu.x),mean=0,sd=sqrt(var.x))^(length(x)))>alpha
return(x.ok)
}
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fbRanks documentation built on May 1, 2019, 8:01 p.m.
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detect.normality.outliers=function(x,alpha=0.05){
x=x[!is.na(x)]
mu.x=median(x,na.rm=TRUE)
var.x=mad(x,na.rm=TRUE)
x.ok=(1-pnorm(abs(x-mu.x),mean=0,sd=sqrt(var.x))^(length(x)))>alpha
return(x.ok)
}
Try the fbRanks package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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