concurve (version 1.0.5)

plotsint: Plot the S-Value Function

Description

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

Usage

plotsint(x)

Arguments

x

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

Value

Plot with intervals at every compatibility level graphed with their corresponding s-values

References

Amrhein V, Trafimow D, Greenland S. Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis If We Don<U+2019>t Expect Replication. Am Stat; 2018.

Greenland S. Valid P-values behave exactly as they should: Some misleading criticisms of P-values and their resolution with S-values. Am Stat. 2018;18(136).

Greenland S. The unconditional information in P-values, and its refutational interpretation via S-values. 2018.

Shannon CE. A Mathematical Theory of Communication. Bell System Technical Journal. 1948;27(3):379-423. doi:10.1002/j.1538-7305.1948.tb01338.x

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

# NOT RUN {
# Simulate random data

GroupA<-rnorm(50)
GroupB<-rnorm(50)

RandomData<-data.frame(GroupA, GroupB)
RandomModel<-lm(GroupA ~ GroupB, data=RandomData)

intervalsdf<-genintervals(RandomModel, "GroupB")

s<-plotsint(intervalsdf)
s
# }

Run the code above in your browser using DataCamp Workspace