Package: tigerstats 0.3.2.9000

tigerstats: R Functions for Elementary Statistics

A collection of data sets and functions that are useful in the teaching of statistics at an elementary level to students who may have little or no previous experience with the command line. The functions for elementary inferential procedures follow a uniform interface for user input. Some of the functions are instructional applets that can only be run on the R Studio integrated development environment with package 'manipulate' installed. Other instructional applets are Shiny apps that may be run locally. In teaching the package is used alongside of package 'mosaic', 'mosaicData' and 'abd', which are therefore listed as dependencies.

Authors:Rebekah Robinson <[email protected]> and Homer White <[email protected]>

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tigerstats.pdf |tigerstats.html✨
tigerstats/json (API)
NEWS

# Install 'tigerstats' in R:
install.packages('tigerstats', repos = c('https://homerhanumat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/homerhanumat/tigerstats/issues

Datasets:

On CRAN:

52 exports 16 stars 2.04 score 56 dependencies 1 mentions 157 scripts 1.7k downloads

Last updated 4 years agofrom:17067f7e5e. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winNOTEAug 30 2024
R-4.5-linuxNOTEAug 30 2024
R-4.4-winNOTEAug 30 2024
R-4.4-macNOTEAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:barchartGCBinomNormBinomSkewbinomtestGCChisqSimSlowchisqtestGCCIMeanCIPropcolPercDtrellHistDtrellScatEmpRuleEmpRuleGCexpCountsFindRegLinehelpGClmGCmake_gameMeanSamplerpbinomGCpchisqGCpnormGCPoints2WatchpolyfitGCpopsampPropSamplerproptestGCptGCqnormGCrandom_normal_factoryRandomExpRegEstimaterowPercSampDist2MeansSampDist2PropsSampDistMeanShallowRegsimpleKeyRevSimpleRandomSimpleRandom2SkewerSlowGoodnesstExploretheme.rpresthemerprestSamplerttestGCType12ErrorsVariabilityVaryCorrelationwatch_statisticianswatch_statisticians_slow

Dependencies:abdbitbit64clicliprcolorspacecpp11crayondplyrfansifarverforcatsgenericsggformulaggplot2ggridgesgluegtablehavenhmsisobandlabelinglabelledlatticelifecyclemagrittrmanipulateMASSMatrixmgcvmosaicmosaicCoremosaicDatamunsellnlmepillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerreadrrlangscalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr

Readme and manuals

Help Manual

Help pageTopics
R Functions for Elementary Statisticstigerstats-package tigerstats
Alcohol at Georgetown Collegealcohol
Attitudes Experiment 2001attitudes
Easy Bar ChartsbarchartGC
Beansbeans
Binomial Distributions With Normal ApproximationBinomNorm
Skewness in the Binomial Family of DistributionsBinomSkew
Exact Procedures for a Single ProportionbinomtestGC
Miguel Cabreracabrera
Chi Square Resampler (One at a Time)ChisqSimSlow
Chi-Square Test (GC version)chisqtestGC
Time to Chugchugtime
Confidence Intervals (for one population mean)CIMean
Confidence Intervals (for one population proportion)CIProp
Column PercentscolPerc
The Death Penalty and Racedeathpen
Dynamic Trellising (Histogram)DtrellHist
Dynamic Trellising (Scatterplot)DtrellScat
Empirical RuleEmpRule
Graphical Calculator for the Empirical RuleEmpRuleGC
Expected Cell Counts From Two-Way TablesexpCounts
An Imaginary SchoolFakeSchool
Find the Regression LineFindRegLine
Speed and Fuel Efficiency (British Ford Escort)fuel
Galton's Father-Son Datagalton
Feelings About Georgetown Collegegcfeeling
Georgetown College Studentsgcstudents
General Social Survey, 2002gss02
General Social Survey, 2008gss08
General Social Survey, 2012gss2012
Hair Color and ACT Scorehair_and_act
Height and Handspanhandheight
Hanford Weather Station, 1984-2010hanford1
Hanford Weather Station, 1945-2010hanford2
Extensive Help Via VignetteshelpGC
Ricky Henderson's Career Statshenderson
Hall of Fame Battershofbatting
Hall of Fame Pitchershofpitching
An Imaginary Populationimagpop
IQs of Siblingsiqsiblings
Knife or Gun?knifeorgunblock
Labels and Perception of Qualitylabels
Crowd Behavior at Ledge-Jumping Incidentsledgejump
Linear RegressionlmGC
MAT 111 Surveym111survey
MAT 111 Survey, Fall 2012m111surveyfa12
MAT 111 Survey, Fall 2013m111surveyfa13
Play with a Discrete Random Variablemake_game
Repeated Sampling for a Mean (Slow)MeanSampler
Music and Reading Comprehensionmusic
Napkin Usenapkins
Non-Response to Surveysnonresponse
Nicotine Withdrawal and Accidentsnosmokeday
Old Faithfuloldfaithful
Ovarian Cancer StudyOvarian
Graphical Calculator for Binomial Curve ProbabilitiespbinomGC
Graphical Calculator for Chi-Square ProbabilitiespchisqGC
Penn State #1pennstate1
Diagnostic Plots for GC Linear Regressionplot.GClm
Diagnostic Plots for GC Polynomial Regressionplot.polyGC
Graphical Calculator for Normal Curve ProbabilitiespnormGC
A study of InfluencePoints2Watch
Polynomial RegressionpolyfitGC
Sampling From a Populationpopsamp
Prediction Function for GC Linear Regressionpredict.GClm
Prediction Function for GC Polynomial Regressionpredict.polyGC
Repeated Sampling for a Proportion (Slow)PropSampler
Proportions ProceduresproptestGC
Graphical Calculator for t-Curve ProbabilitiesptGC
Push-ups by Football Players at Georgetown Collegepushups
Graphical Calculator for Normal Curve PercentilesqnormGC
Make Normal Sampling Functionsrandom_normal_factory
Randomized Experimental DesignsRandomExp
Estimation of Regression CoefficientsRegEstimate
Row PercentsrowPerc
Effect of Soil Salinity on Plant Growthsaltmarsh
Distribution of the Difference of Sample MeansSampDist2Means
Difference of Two Sample ProportionsSampDist2Props
Distribution of the Sample MeanSampDistMean
SAT Scoressat
Weddell Seal Oxygen ConsumptionsealsO2
Regression Line Too Shallow?ShallowReg
Simple Random SampleSimpleRandom
Simple Random Sample (v2)SimpleRandom2
Skewness and Box PlotsSkewer
Chi Square Resampler (One at a Time) for Goodness-of-FitSlowGoodness
A Small ExperimentSmallExp
Larvae on Stumpsstumps
Temperature in U.S. Citiestemperature
Exploration of the t-DistributionstExplore
Lattice Theme or R Presentationstheme.rpres
Lattice Theme or R Presentationsthemerpres
Restaurant Tipstips
Tornado Damagetornado
Illustrating the t-statistictSampler
t-ProceduresttestGC
Type I and Type II ErrorsType12Errors
UC Davis #1ucdavis1
VariabilityVariability
Vary CorrelationVaryCorrelation
Justin Verlanderverlander
Multiple Confidence Interval for a Proportionwatch_statisticians
Multiple Confidence Interval for a Proportion, One at a Timewatch_statisticians_slow
Youth Risk 2003youthrisk03