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.

Author
Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Chris Wild
Date of publication
2016-11-17 08:27:49
Maintainer
James Curran <j.curran@auckland.ac.nz>
License
GPL-2 | file LICENSE
Version
3.1-18

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