Takes the dataframe produced by the interval functions and plots the p-values, consonance (confidence) levels, and the interval estimates to produce a p-value functionusing the geom_point function in ggplot2.

plotpint(x)

Arguments

x

The dataframe produced by one of the interval functions in which the intervals are stored.

Value

Plot with intervals at every consonance level graphed with their corresponding p-values and compatibility levels.

References

Poole C. Beyond the confidence interval. Am J Public Health. 1987;77(2):195-199.

Sullivan KM, Foster DA. Use of the confidence interval function. Epidemiology. 1990;1(1):39-42.

Rothman KJ, Greenland S, Lash TL, Others. Modern epidemiology. 2008.

Examples

# Simulate random data GroupA<-rnorm(50) GroupB<-rnorm(50) RandomData<-data.frame(GroupA, GroupB) RandomModel<-lm(GroupA ~ GroupB, data=RandomData) intervalsdf<-genintervals(RandomModel, "GroupB") p<-plotpint(intervalsdf) p