bootSlope: Bootstrap the slope of a simple linear regression line

Description

Bootstrap theslope of a simple linear regression line. The bootstrap mean and standard error are printed as well as a bootstrap percentile confidence interval.

Usage

bootSlope(x, ...)
# S3 method for default
bootSlope(
  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 formula
bootSlope(formula, data, subset, ...)

Value

The command returns the slopes of the resampled observations.

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 percentile 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 slope.
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.

Methods (by class)

bootSlope(default): Bootstrap the slope of a simple linear regression line
bootSlope(formula): Bootstrap the slope of a simple linear regression line

Author

Adam Loy, Laura Chihara

Details

Observations with missing values are removed.

References

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

Examples

Run this code



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

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