bootCor: Bootstrap the correlation

In CarletonStats: Functions for Statistics Classes at Carleton College

Bootstrap the correlation

Description

Bootstrap the correlation of two numeric variables.

Usage

bootCor(x, ...)

## Default S3 method:
bootCor(
  x,
  y,
  conf.level = 0.95,
  B = 10000,
  plot.hist = TRUE,
  xlab = NULL,
  ylab = NULL,
  title = NULL,
  plot.qq = FALSE,
  x.name = deparse(substitute(x)),
  y.name = deparse(substitute(y)),
  seed = NULL,
  ...
)

## S3 method for class 'formula'
bootCor(formula, data, subset, ...)

Arguments

x	a numeric vector.
...	further arguments to be passed to or from methods.
y	a numeric vector.
conf.level	confidence level for the bootstrap ercentile interval.
B	number of times to resample (positive integer greater than 2).
plot.hist	a logical value. If TRUE, plot the bootstrap distribution of the resampled correlation.
xlab	an optional character string for the x-axis label
ylab	an optional character string for the y-axis label
title	an optional character string giving the plot title
plot.qq	a logical value. If TRUE a normal quantile-quantile plot of the bootstraped values is created.
x.name	Label for variable x
y.name	Label for variable y
seed	optional argument to set.seed
formula	a formula of the form lhs ~ rhs where lhs is a numeric variable giving the data values and rhs a factor with two levels giving the corresponding groups.
data	an optional data frame containing the variables in the formula formula. By default the variables are taken from environment(formula).
subset	an optional vector specifying a subset of observations to be used.

Details

Bootstrap the correlation of two numeric variables. The bootstrap mean and standard error are printed as well as a bootstrap percentile confidence interval.

Observations with missing values are removed.

Value

The command returns the correlations of the resampled observations.

Methods (by class)

• bootCor(default): Bootstrap the correlation of two numeric variables.

• bootCor(formula): Bootstrap the correlation of two numeric variables.

Author(s)

Laura Chihara

References

Tim Hesterberg's website https://www.timhesterberg.net/bootstrap-and-resampling

Examples

plot(states03$ColGrad, states03$InfMortality)
bootCor(InfMortality ~ ColGrad, data = states03, B = 1000)
bootCor(states03$ColGrad, states03$InfMortality, B = 1000)

CarletonStats documentation built on Aug. 22, 2023, 5:06 p.m.