plot_ci: Plots a bootstrapped sampling distribution with its...

In UBC-MDS/strapvizr: Bootstrapped Confidence Intervals, Plots, and More

Plots a bootstrapped sampling distribution with its confidence interval and observed mean.

Description

A bootstrapped confidence interval for the desired estimator for the provided sample is calculated for a confidence level level.

Usage

plot_ci(
  sample,
  rep,
  bin_size = 30,
  n = "auto",
  level = 0.95,
  seed = NULL,
  title = "",
  y_axis = "Count",
  estimator = "mean",
  path = NULL
)

Arguments

sample	A numeric vector to bootstrap
rep	A integer vector for number of replicates
bin_size	A integer vector for number of bins representing intervals of equal size over the range
n	A integer or character vector for the size of bootstrap samples
level	A numeric vector for the confidence level
seed	A integer vector as seed.
title	A character vector for the title of the histogram
y_axis	A character vector for the name of the y axis
estimator	A character vector containing one of the("mean", "median", "var", "sd") estimators
path	A character vector for the path to directory from current directory to save plot

Details

Other stats and parameters of the distribution and sample are also returned.

Value

ggplot object

Examples

plot_ci(c(1, 2, 3, 4, 5, 6, 7), 1000, n = 100, level = 0.95)
plot_ci(c(1, 2, 3, 4, 5, 6, 7), 1000, n = 100, path = "../")

UBC-MDS/strapvizr documentation built on March 22, 2022, 6:39 p.m.