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CarletonStats

The CarletonStats package includes commands for bootstrapping and permutation tests used in Stat 120 at Carleton College. Additional commands of interest include a command for creating grouped bar plots, and a demo of the quantile-normal plot for data drawn from different distributions.

Installation

You can install the development version of CarletonStats from GitHub with:

# install.packages("devtools")
devtools::install_github("aloy/CarletonStats")

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Version

Install

install.packages('CarletonStats')

Monthly Downloads

354

Version

2.3

License

GPL-2

Issues

1

Pull Requests

0

Stars

0

Forks

0

Maintainer

Adam Loy

Last Published

August 28th, 2026

Functions in CarletonStats (2.3)

states03

US government data, 2003
stemPlot

Stem and leaf plot
print.carlboot

Print a summary of an carlboot object
penguin_survival

Penguin survival by tag type
summary.carlboot

Print a summary of an carlboot object
qqPlotDemo

Demonstration of the normal qq-plot.
anovaSummarized

Anova F test
confint.carlboot

Calculate a CI from a carlboot object
Icecream

Ice cream data
CarletonStats-package

CarletonStats: Functions for Statistics Classes at Carleton College
Milkshakes

Milkshakes (chocolate) Nutrional information on chocolate milkshakes from a sample of restaurants.
bootPaired

Bootstrap paired data
bootCor

Bootstrap the correlation
boot

Bootstrap
plot.carlboot

Plot the bootstrap distribution in carlboot object
bootSlope

Bootstrap the slope of a simple linear regression line
permTest

Permutation test
permTestCor

Permutation test for the correlation of two variables.
corDemo

Correlation demonstration
permTestSlope

Permutation test for the Slope
permTestPaired

Permutation test for paired data.
missingLevel

Missing observations in factors
permTestAnova

Permutation test for ANOVA F-test
confIntDemo

Confidence Interval Demonstration
groupedBar

Grouped bar chart