- AcousticNDLCodeR::word_classification_dataData of PLoS ONE paper
- addScales::CHITempsDaily Chicago High and Low Temperatures in °F
- addScales::NYCTempsDaily New York City High and Low Temperatures in °F
- addScales::SFTempsDaily San Francisco High and Low Temperatures in °F
- addScales::USAcrimeUSA Property and Violent Crime Data, 1960 - 2014
- bayesCT::binomialdataBinomial dataset for analyzing adaptive Bayesian trials
- bayesCT::normaldataGaussian dataset for analyzing adaptive Bayesian trials
- bayesCT::survivaldataTime-to-event dataset for analyzing adaptive Bayesian trials
- Bchron::GlendaloughGlendalough data
- Bchron::SlugganSluggan Moss data
- Bchron::TestChronDataExample chronology file for use with the BchronRSL function.
- Bchron::TestRSLDataRelative sea level data
- Bchron::intcal13Northern hemisphere 2013 calibration curve
- Bchron::intcal20Northern hemisphere 2020 calibration curve
- Bchron::marine13Marine 2013 calibration curve
- Bchron::marine20Marine 2020 calibration curve
- Bchron::normalData for dummy calibration of normally distributed ages
- Bchron::shcal13Southern hemisphere 2013 calibration curve
- Bchron::shcal20Southern hemisphere 2020 calibration curve
- clusterability::normals1Data generated from a single multivariate Normal distribution, 2 dimensions.
- clusterability::normals2Data generated from a mixture of two multivariate Normal distributions, 2 dimensions. A dataset containing 150 observations generated from a mixture of two multivariate Normal distributions. 75 observations come from a distribution with mean vector (-3, -2) with each variable having unit variance and uncorrelated with each other. 75 observations come from a distribution with mean vector (1, 1) with each variable having unit variance and uncorrelated with each other. The dataset is clusterable.
- clusterability::normals3Data generated from a mixture of three multivariate Normal distributions, 2 dimensions. A dataset containing 150 observations generated from a mixture of three multivariate Normal distributions. 50 observations are from a distribution with mean vector (3, 0), 50 observations from a distribution with mean vector (0, 3), and 50 observations from a distribution with mean vector (3, 6). For each of these three distributions, the x and y variables have unit variance and are uncorrelated. The dataset is clusterable.
- clusterability::normals4Data generated from a mixture of two multivariate Normal distributions, 3 dimensions. A dataset containing 150 observations generated from a mixture of two multivariate Normal distributions. 75 observations come from a distribution with mean vector (1, 3, 2) and 75 observations come from a distribution with mean vector (4, 6, 0). For each distribution, the variables each have unit variance and are uncorrelated. The dataset is clusterable.
- clusterability::normals5Data generated from a mixture of three multivariate Normal distributions, 3 dimensions. A dataset containing 150 observations generated from a mixture of three multivariate Normal distributions. 50 observations come from a distribution with mean vector (1, 3, 3), 50 observations come from a distribution with mean vector (4, 6, 0), and 50 observations come from a distribution with mean vector (2, 8, -3). For each distribution, the variables each have unit variance and are uncorrelated. The dataset is clusterable.
- cxhull::daVinciSphereLeonardo da Vinci's 72-sided sphere
- cxhull::hexacosichoronVertices of the 600-cell
- datasailr::adult_totalCensus income dataset
- EFS::efsdataMeteorological data for feature selection analysis
- eivtools::testscoresExample longitudinal test score data
- EmiStatR::E1Dataset: An example of combined sewer overflow (CSO) input for Goesdorf structure (CSO chamber, CSOC).
- EmiStatR::E2Dataset: An example of combined sewer overflow (CSO) input for Kaundorf structure (CSO chamber, CSOC).
- EmiStatR::E3Dataset: An example of combined sewer overflow (CSO) input for Nocher-Route structure (CSO chamber, CSOC).
- EmiStatR::Esch_Sure2010Dataset: An example time series for the EmiStatR package
- EmiStatR::P1Dataset: An example of input time series for the EmiStatR package
- EmiStatR::P1_20111216Dataset: An example of input time series for the EmiStatR package
- EmiStatR::infDataset: An example of general input for infiltration characteristics in the study region.
- EmiStatR::pe_factorDataset: An example of general input for the daily population equivalent factors in the study region.
- EmiStatR::qs_factorDataset: An example of general input for the daily water consumption factors in the study region.
- EmiStatR::qs_factor_ATVDataset: An example of general input for the daily water consumption factors (ATV German guideline) in the study region.
- EmiStatR::rwDataset: An example of general input for rainwater characteristics in the study region.
- EmiStatR::wwDataset: An example of general input for wastewater characteristics in the study region.
- finreportr::siccodesStandard Industrial Classification Code List
- finreportr::statecodesEDGAR State and Country Codes
- FuzzyStatProb::linguisticTransitionsTransition matrix of a Markov chain that guides the movement of an autonomous patrolling robot
- FuzzyStatProb::robotStatesTransition matrix of a Markov chain that guides the movement of an autonomous patrolling robot
- FuzzyStatProb::transRobotTransition matrix of a Markov chain that guides the movement of an autonomous patrolling robot
- gdm::gdmDissimAn example biological dissimilarity matrix
- gdm::southwestSpecies and Environmental Data from Southwestern Australia.
- gtheory::Brennan.3.2Brennan's (2001) Table 3.2
- gtheory::Rajaratnam.2Rajaratnam, Cronbach and Gleser's (1965) Table 2
- hddplot::GolubGolub data (7129 rows by 72 columns), after normalization
- hddplot::golubInfoClassifying factors for the 72 columns of the Golub data set
- hilldiv::bat.diet.hierarchyBat diet hierarchy
- hilldiv::bat.diet.otutableBat diet OTU table
- hilldiv::bat.diet.treeBat diet OTU tree
- IBDsim::DecodeMapDecode recombination map
- IBDsim::dominant1Autosomal dominant pedigree
- INCATome::INCATomeDataTranslatome microarray dataset simulated from experimentally acquired translatome of Hela cells.
- InDisc::CTAC35CTAC 35 database.
- mapping::namesDEStatistical Unit Names
- mapping::namesEUStatistical Unit Names
- mapping::namesFRStatistical Unit Names
- mapping::namesITStatistical Unit Names
- mapping::namesUKStatistical Unit Names
- mapping::namesUSStatistical Unit Names
- mapping::namesWRStatistical Unit Names
- mapping::popDEGerman Population
- mapping::popEUEuropean population
- mapping::popEUnuts2European population
- mapping::popFRFrench Population
- mapping::popITItalian Population
- mapping::popUKUnited Kingdom Population
- mapping::popUSUSA population
- mapping::popWRWorld population
- mapping::tax_wedge_ocdeOCDE tax wedge
- mapping::usa_electionUsa Election
- MicroSEC::exampleBamAn example BAM file.
- MicroSEC::exampleMutationAn example mutation file.
- MicroSEC::homology_searchedAn example sequence information file.
- MicroSEC::msec_analyzedAn example mutation file.
- MicroSEC::msec_homology_searchedAn example mutation file.
- MicroSEC::msec_read_checkedAn example mutation file.
- MicroSEC::msec_summarizedAn example mutation file.
- MicroSEC::mut_depth_checkedAn example sequence information file.
- MiDA::IMexpressionInfectious mononucleosis transcriptome
- MiDA::IMspecimenSpecimen features
- miWQS::simdata87Simulated Dataset 87
- miWQS::wqs.pool.testCombining WQS Regression Estimates
- MOCHA::exampleBlackListexampleBlackList
- MOCHA::exampleCellColDataexampleCellColData
- MOCHA::exampleFragmentsexampleFragments
- MOCHA::finalModelObjectfinalModelObject
- MOCHA::youden_thresholdyouden_threshold
- mr.raps::bmi.bmi"Effect" of Body Mass Index (BMI) on Body Mass Index (BMI)
- mr.raps::bmi.sbpEffect of Body Mass Index (BMI) on Systolic Blood Pressure (SBP)
- MVLM::X.mvlmSimulated predictor data to illustrate the mvlm package.
- MVLM::Y.mvlmSimulated outcome data to illustrate the mvlm package.
- nestedmodels::example_nested_dataExample nested data
- ohtadstats::beissinger_dataChicken Genotype Data
- ohtadstats::miyashita_langley_dataDrosophila melanogaster genotypes
- PEACH::KEGGKEGG pathways
- PEACH::TCGA.inputA sample of 16 cancers gene differential expression analysis t statistic score data
- PKPDsim::pkdataPK dataset
- portsort::FactorsCryptocurrency Returns and Volume Data
- QCAcluster::Grauvogel2014Original data used by Grauvogel/von Soest (2014)
- QCAcluster::Schwarz2016Original data used by Schwarz (2016)
- QCAcluster::Thiem2011Original data used by Thiem (2011)
- RcppPlanc::ctrl.sparseExample single-cell transcriptomic data in sparse form
- RcppPlanc::stim.sparseExample single-cell transcriptomic data in sparse form
- rock::exampleCodebook_1An very rudimentary example codebook specification
- scCAN::SCESCE
- scDHA::GoolamGoolam
- scDHA::Goolam_resultGoolam_result
- SizeEstimation::DATAThe number of people who inject drugs in Bangladesh in 2004.
- SparseTSCGM::mammaryMicroarray gene expression time course data for mammary gland development in mice
- spsh::shpdata1Measured soil hydraulic property data
- SSrat::Ss96.ratschool, year 1996
- SSrat::Ss97.ratschool, year 1997
- SSrat::Ss98.ratschool, year 1998
- SSrat::bgBackground data of 8 groups from a longitudinal study on Dutch primary schools
- SSrat::example1.ratExample 1 of rating data that can be processed further to obtain social status determinations
- SSrat::example1a.ratExample 1a of rating data with names of the raters (and assessed)
- SSrat::example2.ratExample 2 of rating data with more raters than assessed
- SSrat::example3.ratExample 3 of rating data with more assessors than assessed
- SSrat::example4.ratExample 4 of rating data with some missing data
- SSrat::example5.ratExample 5 of rating data Newcomb and Bukowski '3-point ratings'
- SSrat::example6.ratExample 6 of rating data of two groups of unequal size
- SSrat::example7.ratExample 7 of rating data of three groups and two different rating scales
- SSrat::klas2.ratExample klas2 of rating data with names of the raters (assessed) and some missing values
- stelfi::horse_meshExample Delaunay triangulation
- stelfi::horse_sfExample 'sf' 'POLYGON'
- stelfi::iraq_terrorismTerrorism in Iraq, 2013 - 2017
- stelfi::markedExample marked point pattern data set
- stelfi::multi_hawkesExample multivariate Hawkes dataset
- stelfi::nz_earthquakesEarthquakes in Canterbury, NZ, 2010 - 2014
- stelfi::nz_murdersMurders of NZ, 2004 - 2019
- stelfi::retweets_niwaRetweets of NIWA's viral leopard seal Tweet
- stelfi::sasquatchSasquatch (bigfoot) sightings in the USA, 2000 - 2005
- stelfi::uk_serialSerial killers of the UK, 1828 - 2015
- stelfi::xytSelf-exciting point pattern
- STRMPS::flankingRegionsFlanking regions
- STRMPS::genotypeListGenotype list
- STRMPS::identifiedSTRsIdentified STR regions
- STRMPS::noiseListNoise list
- STRMPS::stringCoverageGenotypeListCombined string coverage and genotype information
- STRMPS::stringCoverageListAggregated string coverage.
- tern.rbmi::rbmi_test_dataExample dataset for 'tern.rbmi' package. This is an pool object from the rbmi analysis, see 'browseVignettes(package = "tern.rbmi")'
- tigerstats::FakeSchoolAn Imaginary School
- tigerstats::OvarianOvarian Cancer Study
- tigerstats::SmallExpA Small Experiment
- tigerstats::alcoholAlcohol at Georgetown College
- tigerstats::attitudesAttitudes Experiment 2001
- tigerstats::beansBeans
- tigerstats::cabreraMiguel Cabrera
- tigerstats::chugtimeTime to Chug
- tigerstats::deathpenThe Death Penalty and Race
- tigerstats::fuelSpeed and Fuel Efficiency (British Ford Escort)
- tigerstats::galtonGalton's Father-Son Data
- tigerstats::gcfeelingFeelings About Georgetown College
- tigerstats::gcstudentsGeorgetown College Students
- tigerstats::gss02General Social Survey, 2002
- tigerstats::gss08General Social Survey, 2008
- tigerstats::gss2012General Social Survey, 2012
- tigerstats::hair_and_actHair Color and ACT Score
- tigerstats::handheightHeight and Handspan
- tigerstats::hanford1Hanford Weather Station, 1984-2010
- tigerstats::hanford2Hanford Weather Station, 1945-2010
- tigerstats::hendersonRicky Henderson's Career Stats
- tigerstats::hofbattingHall of Fame Batters
- tigerstats::hofpitchingHall of Fame Pitchers
- tigerstats::imagpopAn Imaginary Population
- tigerstats::iqsiblingsIQs of Siblings
- tigerstats::knifeorgunblockKnife or Gun?
- tigerstats::labelsLabels and Perception of Quality
- tigerstats::ledgejumpCrowd Behavior at Ledge-Jumping Incidents
- tigerstats::m111surveyMAT 111 Survey
- tigerstats::m111surveyfa12MAT 111 Survey, Fall 2012
- tigerstats::m111surveyfa13MAT 111 Survey, Fall 2013
- tigerstats::musicMusic and Reading Comprehension
- tigerstats::napkinsNapkin Use
- tigerstats::nonresponseNon-Response to Surveys
- tigerstats::nosmokedayNicotine Withdrawal and Accidents
- tigerstats::oldfaithfulOld Faithful
- tigerstats::pennstate1Penn State #1
- tigerstats::pushupsPush-ups by Football Players at Georgetown College
- tigerstats::saltmarshEffect of Soil Salinity on Plant Growth
- tigerstats::satSAT Scores
- tigerstats::sealsO2Weddell Seal Oxygen Consumption
- tigerstats::stumpsLarvae on Stumps
- tigerstats::temperatureTemperature in U.S. Cities
- tigerstats::tipsRestaurant Tips
- tigerstats::tornadoTornado Damage
- tigerstats::ucdavis1UC Davis #1
- tigerstats::verlanderJustin Verlander
- tigerstats::youthrisk03Youth Risk 2003
- TT::col_orderExample data for TT package
- TT::orgExample data for TT package
- TukeyC::CRD1Completely Randomized Design (CRD)
- TukeyC::CRD2Completely Randomized Design ('CRD')
- TukeyC::FEFactorial Experiment (FE)
- TukeyC::LSDLatin Squares Design (LSD)
- TukeyC::RCBDRandomized Complete Block Design (RCBD)
- TukeyC::SPESplit-plot Experiment (SPE)
- TukeyC::SPETSplit-plot Experiment in Time (SPET)
- TukeyC::SSPESplit-split-plot Experiment (SSPE)
- TukeyC::sorghumCompletely Randomized Design (CRD)
- twangRDC::nola_southAn example FSRDC dataset
- vampyr::vampyr_examplevampyr_example database
