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

283

Version

2.2

License

GPL-2

Issues

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Repository

https://github.com/aloy/CarletonStats

Maintainer

Adam Loy

Last Published

August 22nd, 2023

Functions in CarletonStats (2.2)

bootPaired

Bootstrap paired data

Milkshakes

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

anovaSummarized

Anova F test

plot.carlboot

Plot the bootstrap distribution in carlboot object

confIntDemo

Confidence Interval Demonstration

summary.carlboot

Print a summary of an carlboot object

print.carlboot

Print a summary of an carlboot object

boot

Bootstrap

bootCor

Bootstrap the correlation

permTestPaired

Permutation test for paired data.

permTestSlope

Permutation test for the Slope

qqPlotDemo

Demonstration of the normal qq-plot.

permTestAnova

Permutation test for ANOVA F-test

stemPlot

Stem and leaf plot

CarletonStats-package

CarletonStats: Functions for Statistics Classes at Carleton College

bootSlope

Bootstrap the slope of a simple linear regression line

corDemo

Correlation demonstration

states03

US government data, 2003

confint.carlboot

Calculate a CI from a carlboot object

permTestCor

Permutation test for the correlation of two variables.

Missing observations in factors