ci_p_coverage_plot2: Plot for confidence interval p - coverage vs n for fixed p

In fhernanb/stests: Package with useful statistical tests

Plot for confidence interval p - coverage vs n for fixed p

Description

This function plots the coverage for any confidence interval for p.

Usage

ci_p_coverage_plot2(
  p = 0.5,
  seq_n = seq(from = 10, to = 500, by = 10),
  conf.level = 0.95,
  intervalType = "wald",
  plot = TRUE,
  col = "deepskyblue2",
  linecolor = "tomato",
  ...
)

Arguments

p	true proportion p.
seq_n	sequence with the values of sample size n. By default is the sequence 10, 20, 30, ..., 480, 490, 500.
conf.level	nominal confidence level for the returned confidence interval. By default is 0.95.
intervalType	type of confidence interval, possible choices are listed in ci_p.
plot	logical value to obtain the plot, TRUE by default.
col	color for the coverage curve.
linecolor	color for the line representing the conf.level.
...	further arguments and graphical parameters passed to plot function.

Details

This function was inspired by the binomTestCoveragePlot() function from conf package and Park & Leemis (2019).

Value

A dataframe with Method, n, p and true coverage and the plot.

Author(s)

Laura Juliana Insignares Montes, [e-mail]

References

Park, H., & Leemis, L. M. (2019). Ensemble confidence intervals for binomial proportions. Statistics in Medicine, 38(18), 3460-3475.

See Also

ci_p.

Examples

ci_p_coverage_plot2(p=0.50,
                    conf.level=0.95,
                    intervalType="wald")

ci_p_coverage_plot2(p=0.75,
                    conf.level=0.95,
                    intervalType="wald")

ci_p_coverage_plot2(p=0.50,
                    conf.level=0.95,
                    intervalType="wilson")

ci_p_coverage_plot2(p=0.75,
                    conf.level=0.95,
                    intervalType="wilson",
                    col="orange", linecolor="purple")

fhernanb/stests documentation built on March 29, 2025, 10:36 a.m.