Description Usage Arguments Value Examples
View source: R/benchmark_funnel.R
This function produces data for drawing funnel plot boundaries that correspond to the 95% confidence intervals of a Poisson-gamma distribution corresponding to a desired systematic component of variation, the benchmark SCV.
1 | benchmark_funnel(exp, scvtx = 3, alphax = 0.95)
|
exp |
expected values from indirect standardization (observed/expected) |
scvtx |
benchmark SCV , by default 3 |
alphax |
alpha level, by default 95% |
exp
upperCI Upper limit O/E of benchmark Poisson-Gamma distribution
lowerCI Lower limit O/E of benchmark Poisson-Gamma distribution
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | data(nc.sids, package= "spData")
obs<-nc.sids$SID74
exp<-nc.sids$BIR74*sum(nc.sids$SID74)/sum(nc.sids$BIR74)
outlier<-outlier_stats(obs,exp,scvtx=3, alphax=.95)
funnel<-benchmark_funnel(exp,scvtx=3, alphax=.95)
library(ggplot2)
ggplot(funnel,aes(exp,upperCI))+
geom_line()+
geom_line(aes(y=lowerCI))+
geom_point(data=outlier$outlier_stats,aes(x=exp, y=obs/exp,color=is_outlier))+
xlab("Expected cases")+
ylab("Observed/Expected")+
labs(color="Outlier")+
theme_minimal()
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