s20x: Functions for University of Auckland Course STATS 201/208 Data Analysis

A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.

AuthorAndrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Chris Wild
Date of publication2016-11-17 08:27:49
MaintainerJames Curran <j.curran@auckland.ac.nz>
LicenseGPL-2 | file LICENSE
Version3.1-18

View on CRAN

Man pages

airpass.df: International Airline Passengers

apples.df: Apples Data

arousal.df: Changes in Pupil Size with Emotional Arousal

autocor.plot: Autocorrelation Plot

beer.df: US Beer Production

body.df: Body Image and Ethnicity

books.df: Books Data

boxqq: Box plots and normal quantile-quantile plots

bursary.df: Bursary Results for Auckland Secondary Schools

butterfat.df: Butterfat Data

camplake.df: Age and Length of Camp Lake Bluegills

chalk.df: Chalk Data

ciReg: Confidence Intervals for Regression models

computer.df: Computer Questionnaire

cooks20x: Cook's distance plot

course2way.df: Exam Mark, Gender and Attendance for Stats 20x Summer School...

course.df: Stats 20x Summer School Data

crossFactors: Crossed Factors

crosstabs: Crosstabulation of two variables

diamonds.df: Prices and Weights of Diamonds

eovcheck: Testing for equality of variance plot

estimateContrasts: Contrast Estimates

fire.df: Fire Damage and Distance from the Fire Station

freq1way: Analysis of 1-dimensional frequency tables

fruitfly.df: Fruitfly Data

getVersion: s20x pacakge version number

house.df: Sale and Advertised Prices of Houses

incomes.df: Mean Family Incomes

interactionPlots: Interactions Plot for Two-way Analysis of Variance

lakemary.df: Ages and Lengths of Lake Mary Bluegills

larain.df: Los Angeles Rainfall

layout20x: Layout

levene.test: Levene test for the ANOVA Assumption

mazda.df: Year and Price of Mazda Cars

mening.df: Monthly Notifications of Meningococcal Disease

mergers.df: Merger Days

mozart.df: Length of Mozart's Movements

multipleComp: Multiple Comparisons

nail.df: Nail Polish Data

normcheck: Testing for normality plot

onewayPlot: One-way Analysis of Variance Plot

oysters.df: Oyster Abundances over Different Sites

pairs20x: Pairwise Scatter Plots with Histograms and Correlations

peru.df: Peruvian Indians

predict20x: Model Predictions for a Linear Model

predictCount: Predicted Counts for a Generalized Linear Model

propslsd.new: LSD-Display Intervals

rain.df: Cloud Seeding and Levels of Rainfall

residPlot: Fitted values versus residuals plot

rowdistr: Row distributions from a cross-tabulation of two variables

rr: Read Data

seeds.df: Seeds Data

sheep.df: Sheep Data

skewness: Skewness Statistic

skulls.df: Skulls Data

soyabean.df: Soya Bean Yields

stripqq: Strip charts and normal quantile-quantile plots

summary1way: One-way Analysis of Variance Summary

summary2way: Two-way Analysis of Variance Summary

summaryStats: Summary Statistics

teach.df: Comparison of Three Teaching Methods

technitron.df: Technitron Salary Information

thyroid.df: Effect of a New Drug on Thyroid Weights

toothpaste.df: Crest Toothpaste

trendscatter: Trend and scatter plot

zoo.df: Zoo Attendance during an Advertising Campaign

Files in this package

s20x
s20x/inst
s20x/inst/rmarkdown
s20x/inst/rmarkdown/templates
s20x/inst/rmarkdown/templates/STATS20x_Assignment
s20x/inst/rmarkdown/templates/STATS20x_Assignment/template.yaml
s20x/inst/rmarkdown/templates/STATS20x_Assignment/skeleton
s20x/inst/rmarkdown/templates/STATS20x_Assignment/skeleton/skeleton.Rmd
s20x/NAMESPACE
s20x/demo
s20x/demo/cs43.r
s20x/demo/cs26.r
s20x/demo/cs23.r
s20x/demo/cs4.r
s20x/demo/cs9.r
s20x/demo/cs33.r
s20x/demo/cs22.r
s20x/demo/cs41.r
s20x/demo/cs5.r
s20x/demo/cs2.r
s20x/demo/cs20.r
s20x/demo/cs10.r
s20x/demo/cs7.r
s20x/demo/cs25.r
s20x/demo/cs38.r
s20x/demo/cs16.r
s20x/demo/cs39.r
s20x/demo/cs15.r
s20x/demo/cs12.r
s20x/demo/cs18.r
s20x/demo/cs19.r
s20x/demo/cs31.r
s20x/demo/cs3.r
s20x/demo/cs32.r
s20x/demo/cs28.r
s20x/demo/cs42.r
s20x/demo/00Index
s20x/demo/cs35.r
s20x/demo/cs11.r
s20x/demo/cs27.r
s20x/demo/cs36.r
s20x/demo/cs37.r
s20x/demo/cs40.r
s20x/demo/cs8.r
s20x/demo/cs21.r
s20x/demo/cs13.r
s20x/demo/cs17.r
s20x/demo/cs29.r
s20x/demo/cs1.r
s20x/demo/cs30.r
s20x/demo/cs34.r
s20x/demo/cs24.r
s20x/demo/cs6.r
s20x/demo/cs14.r
s20x/data
s20x/data/diamonds.df.txt.gz
s20x/data/nail.df.txt.gz
s20x/data/skulls.df.txt.gz
s20x/data/computer.df.txt.gz
s20x/data/lakemary.df.txt.gz
s20x/data/airpass.df.txt.gz
s20x/data/mazda.df.txt.gz
s20x/data/sheep.df.txt.gz
s20x/data/soyabean.df.txt.gz
s20x/data/zoo.df.txt.gz
s20x/data/fruitfly.df.txt.gz
s20x/data/course2way.df.txt.gz
s20x/data/thyroid.df.txt.gz
s20x/data/chalk.df.txt.gz
s20x/data/fire.df.txt.gz
s20x/data/mergers.df.txt.gz
s20x/data/toothpaste.df.txt.gz
s20x/data/apples.df.txt.gz
s20x/data/butterfat.df.txt.gz
s20x/data/mening.df.txt.gz
s20x/data/incomes.df.txt.gz
s20x/data/house.df.txt.gz
s20x/data/seeds.df.txt.gz
s20x/data/body.df.txt.gz
s20x/data/teach.df.txt.gz
s20x/data/larain.df.txt.gz
s20x/data/beer.df.txt.gz
s20x/data/camplake.df.txt.gz
s20x/data/books.df.txt.gz
s20x/data/rain.df.txt.gz
s20x/data/bursary.df.txt.gz
s20x/data/mozart.df.txt.gz
s20x/data/technitron.df.txt.gz
s20x/data/peru.df.txt.gz
s20x/data/arousal.df.txt.gz
s20x/data/course.df.txt.gz
s20x/data/oysters.df.txt.gz
s20x/R
s20x/R/residPlot.R
s20x/R/skewness.r
s20x/R/predict20x.R s20x/R/cooks20x.R s20x/R/estimateContrasts.R s20x/R/levene.test.R
s20x/R/stripqq.r
s20x/R/boxqq.r
s20x/R/summaryStats.R s20x/R/summary1way.R s20x/R/crossFactors.R s20x/R/estimateContrasts1.R s20x/R/autocor.plot.R
s20x/R/freq1way.r
s20x/R/onewayPlot.R
s20x/R/rr.r
s20x/R/trendscatter.R s20x/R/normcheck.R s20x/R/getVersion.R s20x/R/estimateContrasts2.R
s20x/R/rowdistr.r
s20x/R/eovcheck.R s20x/R/predictCount.R s20x/R/propslsd.new.R s20x/R/ciReg.R s20x/R/interactionPlots.R s20x/R/layout20x.R s20x/R/summary2way.R s20x/R/crosstabs.R s20x/R/pairs20x.R s20x/R/multipleComp.R
s20x/MD5
s20x/DESCRIPTION
s20x/man
s20x/man/sheep.df.Rd s20x/man/soyabean.df.Rd s20x/man/zoo.df.Rd s20x/man/summary1way.Rd s20x/man/course.df.Rd s20x/man/rr.Rd s20x/man/mozart.df.Rd s20x/man/normcheck.Rd s20x/man/butterfat.df.Rd s20x/man/body.df.Rd s20x/man/camplake.df.Rd s20x/man/arousal.df.Rd s20x/man/mergers.df.Rd s20x/man/skulls.df.Rd s20x/man/oysters.df.Rd s20x/man/skewness.Rd s20x/man/beer.df.Rd s20x/man/predict20x.Rd s20x/man/cooks20x.Rd s20x/man/estimateContrasts.Rd s20x/man/summary2way.Rd s20x/man/multipleComp.Rd s20x/man/stripqq.Rd s20x/man/bursary.df.Rd s20x/man/apples.df.Rd s20x/man/interactionPlots.Rd s20x/man/computer.df.Rd s20x/man/course2way.df.Rd s20x/man/predictCount.Rd s20x/man/layout20x.Rd s20x/man/fire.df.Rd s20x/man/incomes.df.Rd s20x/man/toothpaste.df.Rd s20x/man/onewayPlot.Rd s20x/man/eovcheck.Rd s20x/man/airpass.df.Rd s20x/man/trendscatter.Rd s20x/man/lakemary.df.Rd s20x/man/rowdistr.Rd s20x/man/propslsd.new.Rd s20x/man/crosstabs.Rd s20x/man/thyroid.df.Rd s20x/man/technitron.df.Rd s20x/man/ciReg.Rd s20x/man/nail.df.Rd s20x/man/larain.df.Rd s20x/man/mening.df.Rd s20x/man/summaryStats.Rd s20x/man/rain.df.Rd s20x/man/teach.df.Rd s20x/man/residPlot.Rd s20x/man/house.df.Rd s20x/man/getVersion.Rd s20x/man/diamonds.df.Rd s20x/man/crossFactors.Rd s20x/man/pairs20x.Rd s20x/man/peru.df.Rd s20x/man/books.df.Rd s20x/man/chalk.df.Rd s20x/man/autocor.plot.Rd s20x/man/freq1way.Rd s20x/man/seeds.df.Rd s20x/man/mazda.df.Rd s20x/man/fruitfly.df.Rd s20x/man/boxqq.Rd s20x/man/levene.test.Rd
s20x/LICENSE

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.