AnhangAA.
1GrundlagenthemenMchtemaneinenEinstiegindiemoderneDatenanalysendenoderlehren,soisteinberblicküberGrundlagenthemensinnvoll.
DieseThemenerscheinenzumEinstiegrat-sam:1.
Kap.
1Statistikheute2.
Kap.
3Rstarten3.
Kap.
4Erstkontakt4.
Abschn.
5.
1berblicküberdiewichtigstenObjekttypen5.
Kap.
6Datenimportund-export6.
Kap.
7Datenjudo7.
Kap.
8DeskriptiveStatistik8.
Kap.
11GrundlagenderDatenvisualisierungmitggplot29.
Kap.
15GrundlagendesModellierens10.
Kap.
16Inferenzstatistik11.
Kap.
18LineareModelle12.
Kap.
24TextminingNatürlichkannesimEinzelfallsinnvollsein,nichtalleAbschnittedieserKapitelzulernenbzw.
lehren.
SoknntemanzumBeispielaufdieAbschn.
7.
5und7.
6verzichten.
LetztlichisteineAuswahleinStückweitsubjektiv.
DieseAuswahlberücksichtigtgrundlegendeThemenzuR,derDatenanalyse,derInferenzstatistik,desstatistischenModellierensso-wiemoderne"AspektewieTextmining.
DieübrigenKapiteldiesesBuchessinddemnachfortgeschrittenereThemen.
AmanspruchsvollstensinddieKapiteldesTeilsRahmen2:27,28und29.
541SpringerFachmedienWiesbadenGmbH,einTeilvonSpringerNature2019S.
Sauer,ModerneDatenanalysemitR,FOM-Edition,https://doi.
org/10.
1007/978-3-658-21587-3542AnhangAA.
2bungsaufgabenDiefolgendenAussagensindentwederalsrichtig"oderalsfalsch"zubewerten.
OffeneFragenverlangeneinenTextalsAntwort.
A.
2.
1Fragen1.
Beiinstall.
packagesspieltderParameterdependencies=TRUEinderPraxiskeineRolle.
2.
DateienmitderEndung.
RsindkeineTextdateien.
3.
DerBefehlread.
csvkannauchDateieneinlesen,dienichtlokal,sondernaufeinemServerimInternetgespeichertsind.
4.
FehlendeWertewerdeninRdurchNAkodiert.
5.
UmVariableneinenWertzuzuweisen,kannmaninRdenZuweisungspfeil0istdieWahrscheinlichkeitkleinerals50%,dassdasmodellierteEreigniseintritt,wennalleanderenPrdiktoren0sind.
31.
DielogistischeRegressionsolltenichtverwendetwerden,wenndieabhngigeVari-abledichotomist.
32.
DielogistischeRegressionstelltdenZusammenhangzwischenPrdiktorundKrite-riumnichtmiteinerGeraden,sondernmiteiners-frmigenKurvedar.
33.
BevordieKoefzientenderlogistischenRegressionalsOddsRatiointerpretiertwer-denknnen,müssensiedelogarithmiertwerden.
34.
Unterdelogarithmierenverstehtman,dieUmkehrfunktiondere-FunktionaufeineGleichunganzuwenden.
35.
WendetmandienormaleRegressionan,umeinedichotomeVariablealsKriteriumzumodellieren,sokannmanWahrscheinlichkeitengrerals1undkleinerals0bekommen.
36.
EinetypischeIdeederClusteranalyselautet,dieVarianzinnerhalbderClusterjeweilszumaximieren.
37.
Beieinerk-means-ClusteranalysedarfmannichtdieAnzahlderClustervorabfest-legen;vielmehrermitteltderAlgorithmusdierichtigeAnzahlderCluster.
38.
FürdieWahlderrichtigen"AnzahlderClusterkanndasEllbogen-KriteriumalsEntscheidungsgrundlageherangezogenwerden.
39.
EinScreeplotstelltdieVarianzinnerhalbderClusteralsFunktionderAnzahlderClusterdar(imRahmenderClusteranalyse).
40.
DieeuklidischeDistanzzwischenzweiObjekteninderEbenelsstsichmitdemSatzdesPythagorasberechnen.
544AnhangAA.
2.
2Lsungen1.
Falsch2.
Falsch3.
Richtig4.
Richtig5.
Richtig6.
Falsch7.
Richtig8.
Falsch9.
Falsch10.
Richtig11.
Falsch12.
Falsch13.
Falsch14.
Richtig15.
Richtig16.
Falsch17.
Richtig18.
AuffehlendeWerteprüfen,FllemitfehlendenWertenlschen,fehlendeWerteggf.
ersetzen,nachFehlernsuchen,Ausreieridentizieren,hochkorrelierteVariablenn-den,z-standardisieren,Quasi-Konstantenden,aufNormalverteilungprüfen,Werteumkodierenundbinnen".
19.
Richtig20.
Richtig21.
Richtig22.
EsgehthierumvierDatenstzemitzweiVariablen(Spalten;XundY).
OffenbarsinddieDatenstzepraktischidentisch:AlleXhabendengleichenMittelwertunddiegleicheVarianz;dasselbegiltfürdieY.
DieKorrelationzwischenXundYistinallenvierDatenstzengleich.
AllerdingserzhlteineVisualisierungdervierDatenstzeeineganzandereGeschichte.
23.
Falsch24.
Richtig25.
Richtig26.
Falsch27.
Richtig28.
Falsch29.
Richtig30.
Richtig31.
Falsch32.
FalschAnhangA54533.
Richtig34.
Richtig35.
Falsch.
Richtigwre:DieUmkehrfunktiondesLogarithmus,alsodiee-Funktion,aufeineGleichunganzuwenden.
36.
Richtig37.
Falsch38.
Falsch.
Richtigwre:MangibtdieAnzahlderClustervor.
DannvergleichtmandieVarianzinnerhalbderverschiedenenLsungen.
39.
Richtig40.
Richtig41.
RichtigA.
2.
3HinweiseRStudioundShinysindeingetrageneMarkennamenvonRStudio,Inc.
A.
2.
4Beispiel-CurriculumFüreineEinführungsveranstaltungknntederStoffwiefolgtinzwlfTerminezujedreiZeit-Stundenaufgeteiltwerden(s.
Abschn.
A.
1).
MitdiesemZeitumfangkannnureinTeildesBuchesvermitteltwerden.
Tab.
A.
1ZuordnungvonThemenzuTerminenTerminThema(Kapitel)1Organisatorisches1Einführung1ArbeitenmitR1Dateneinlesen2Datenjudo2DeskriptiveStatistik3Datenvisualisieren4Fallstudie(z.
B.
zumovies")5Datenmodellieren6Inferenzstatistik7LineareRegression–metrisch8LineareRegression–kategorial9Fallstudie(z.
B.
zutitanic")10Clusteranalyse11Textmining12WiederholungTerminThema(Kapitel)1Organisatorisches1Einführung1ArbeitenmitR1Dateneinlesen2Datenjudo2DeskriptiveStatistik3Datenvisualisieren4Fallstudie(z.
B.
zumovies")5Datenmodellieren6Inferenzstatistik7LineareRegression–metrisch8LineareRegression–kategorial9Fallstudie(z.
B.
zutitanic")10Clusteranalyse11Textmining12Wiederholung546AnhangAA.
3VerwendeteR-PaketeDiefolgendenR-PaketewurdenindiesemBuchverwendet:Stanley(2018),MoreyundRouder(2015),Beaujean(2012),CantyundRipley(2017),GerlancundKirby(2015),Robinson(2018),FoxundWeisberg(2011),JedWingetal.
(2018),Maechleretal.
(2018),WeiundSimko(2017),Jackson(2016),Wilke(2017),Wickhametal.
(2018),Analytics&Weston(2017),Wickhametal.
(2017),WinstonChang(2014),RenundRussell(2016),Schloerkeetal.
(2017),KahleundWick-ham(2013),Jeppsonetal.
(2017),Wickham(2016),Wickham(2015),Arnold(2018),GesmannunddeCastillo(2011),Warnesetal.
(2016),Auguie(2017),Hugh-Jones(2018),BuchtaundHornik(2017),Zhu(2018),Xie(2018),Meschiari(2015),Chengetal.
(2017),BryerundSpeerschneider(2016),Wild(2015),Navarro(2015),BacheundWickham(2014),W.
N.
VenablesundRipley(2002),vanBuurenundGroothuis-Oudshoorn(2011),Wickham(2017a),Pruimetal.
(2017),Raiche(2010),DarócziundTsegelskyi(2017),AustundBarth(2017),HothornundZeileis(2015),Ooms(2018),Soetaert(2017),Sachs(2017),Urbanek(2013),Sauer(2017a),Sauer(2018),Robinetal.
(2011),Wickham(2018a),Revelle(2018),Champely(2018),Neuwirth(2014),HenryundWickham(2018),TherneauundAtkinson(2018),South(2011),Wickham(2018b),VanDerWaletal.
(2014),Pebesma(2018),McNamaraetal.
(2018),Bouchet-Valat(2014),Hlavac(2018),Wickham(2018c),WickhamundHenry(2018),Wickham(2017b),Gentry(2015),KowarikundTempl(2016),Garnier(2018),RamundWickham(2016),Fellows(2014),Dahl(2016),Sauer(2017b).
LiteraturAfD(2016).
Partyplatform(Parteiprogramm")oftheAfDparty(AlternativeforGermany")asof2016-05-01.
Webpage.
https://www.
afd.
de/.
Agresti,A.
(2013).
Categoricaldataanalysis.
Hoboken,N.
J:Wiley.
AmericanPsychologicalAssociation(2009).
PublicationManualoftheAmericanPsychologicalAssociation,6thEdition.
AmericanPsychologicalAssociation(APA).
https://www.
amazon.
com/Publication-Manual-American-Psychological-Association/dp/1433805618SubscriptionId=0JYN1NVW651KCA56C102&tag=techkie-20&linkCode=xm2&camp=2025&creative=165953&creativeASIN=1433805618.
AnalyticsR.
,&Weston,S.
(2017).
doMC:ForeachParallelAdaptorfor'parallel'.
https://CRAN.
R-project.
org/package=doMC.
Anscombe,F.
J.
(1973).
GraphsinStatisticalAnalysis.
TheAmericanStatistician,27(1),17–21.
https://doi.
org/10.
1080/00031305.
1973.
10478966.
Arnold,J.
B.
(2018).
ggthemes:ExtraThemes,ScalesandGeomsfor'ggplot2'.
https://CRAN.
R-project.
org/package=ggthemes.
Aronson,E.
,Akert,R.
M.
,&Wilson,T.
D.
(2010).
Sozialpsychologie.
München:Pearson.
Auguie,B.
(2017).
gridExtra:MiscellaneousFunctionsforGrid"Graphics.
https://CRAN.
R-project.
org/package=gridExtra.
Aust,F.
,&Barth,M.
(2017).
papaja:CreateAPAmanuscriptswithRMarkdown.
https://github.
com/crsh/papaja.
Azad,K.
(2013).
Math,BetterExplained.
Amazon.
Bache,S.
M.
,&Wickham,H.
(2014).
magrittr:AForward-PipeOperatorforR.
https://CRAN.
R-project.
org/package=magrittr.
Banerjee,M.
,Capozzoli,M.
,McSweeney,L.
,&Sinha,D.
(1999).
Beyondkappa:Areviewofinterrateragreementmeasures.
CanadianJournalofStatistics,27(1),3–23.
https://doi.
org/10.
2307/3315487.
Baron,R.
M.
,&Kenny,D.
A.
(1986).
Themoderator-mediatorvariabledistinctioninsocialpsycho-logicalresearch:Conceptual,strategic,andstatisticalconsiderations.
JournalofPersonalityandSocialPsychology,51(6),1173–1182.
Baumer,B.
,Kaplan,D.
T.
,&Horton,N.
J.
(2017).
ModernDataSciencewithR.
BocaRaton,Flo-rida:Chapman;Hall/CRC.
Beaujean,A.
A.
(2012).
BaylorEdPsych:RPackageforBaylorUniversityEducationalPsychologyQuantitativeCourses.
https://CRAN.
R-project.
org/package=BaylorEdPsych.
Begley,C.
G.
,&Ioannidis,J.
P.
(2015).
ReproducibilityinScience.
CirculationResearch,116(1),116–126.
https://doi.
org/10.
1161/CIRCRESAHA.
114.
303819.
547548LiteraturBenjamin,D.
J.
,Berger,J.
,Johannesson,M.
,Nosek,B.
,Wagenmakers,E.
-J.
,Berk,R.
,Johnson,V.
,etal.
(2017).
RedeneStatisticalSignicance.
NatureHumanBehaviour.
https://doi.
org/10.
1038/s41562-017-0189-z.
Benjamin,D.
J.
,Berger,J.
O.
,Johannesson,M.
,Nosek,B.
A.
,Wagenmakers,E.
-J.
,Berk,R.
,etal.
(2018).
Redenestatisticalsignicance.
NatureHumanBehaviour,2(1),6.
https://doi.
org/10.
1038/s41562-017-0189-z.
Bishop,C.
M.
(2006).
PatternRecognitionandMachineLearning.
NewYork:Springer.
Bogen,J.
,&Woodward,J.
(1988).
Savingthephenomena.
ThePhilosophicalReview,97(3),303–352.
Bortz,J.
(2013).
Statistik:FürSozialwissenschaftler.
Heidelberg:Springer.
Bosco,F.
A.
,Aguinis,H.
,Singh,K.
,Field,J.
G.
,&Pierce,C.
A.
(2015).
Correlationaleffectsizebenchmarks.
JournalofAppliedPsychology,100(2),431–449.
https://doi.
org/10.
1037/a0038047.
Botsman,R.
(2017,Oktober).
BigdatameetsBigBrotherasChinamovestorateitscitizens.
http://www.
wired.
co.
uk/article/chinese-government-social-credit-score-privacy-invasion.
Bouchet-Valat,M.
(2014).
SnowballC:SnowballstemmersbasedontheClibstemmerUTF-8libra-ry.
https://CRAN.
R-project.
org/package=SnowballC.
Breiman,L.
,Friedman,J.
,Stone,C.
J.
,&Olshen,R.
A.
(1984).
Classicationandregressiontrees.
BocaRaton,Florida:CRCpress.
Brennan,R.
L.
,&Prediger,D.
J.
(1981).
CoefcientKappa:SomeUses,Misuses,andAlterna-tives.
EducationalandPsychologicalMeasurement,41(3),687–699.
https://doi.
org/10.
1177/001316448104100307.
Bresler,A.
(2015,Januar).
RecreatingEdwardTufte'sNewYorkCityWeatherVisualization".
https://gist.
github.
com/abresler/46c36c1a88c849b94b07.
Briggs,W.
M.
(2008).
BreakingtheLawofAverages:Real-LifeProbabilityandStatisticsinPlainEnglish.
Morrisville,NC:Lulu.
com.
Briggs,W.
M.
(2016).
Uncertainty:TheSoulofModeling,Probability&Statistics.
NewYork:Springer.
Brown,J.
D.
(2015).
LinearModelsinMatrixForm:AHands-OnApproachfortheBehavioralSciences.
NewYork:Springer.
Brown,E.
N.
,&Kass,R.
E.
(2009).
WhatisstatisticsTheAmericanStatistician,63(2),105–110.
Bryer,J.
,&Speerschneider,K.
(2016).
likert:AnalysisandVisualizationLikertItems.
https://CRAN.
R-project.
org/package=likert.
Brynjolfsson,E.
,&McAfee,A.
(2016).
TheSecondMachineAge:Work,Progress,andProsperityinaTimeofBrilliantTechnologies.
NewYork,NY:W.
W.
Norton&Company.
https://www.
amazon.
com/Second-Machine-Age-Prosperity-Technologies/dp/0393350649SubscriptionId=0JYN1NVW651KCA56C102&tag=techkie-20&linkCode=xm2&camp=2025&creative=165953&creativeASIN=0393350649.
Buchta,C.
,&Hornik,K.
(2017).
ISOcodes:SelectedISOCodes.
https://CRAN.
R-project.
org/package=ISOcodes.
Bundeswahlleiter(2017a).
StrukturdatenfürdieWahlkreise.
https://www.
bundeswahlleiter.
de/dam/jcr/f7566722-a528-4b18-bea3-ea419371e300/btw17_strukturdaten.
csv.
Bundeswahlleiter(2017b).
ErgebnissederBundestagswahl2017.
https://www.
bundeswahlleiter.
de/bundestagswahlen/2017.
html.
Zugegriffen:1.
Okt.
2017.
BureauoftransportationstatisticsRITA(2013).
nycights13.
http://www.
transtats.
bts.
gov/DL_SelectFields.
aspTable_ID=236.
Burns,P.
(2012).
TheRInferno.
Morrisville,NC:lulu.
com.
vanBuuren,S.
(2012).
FlexibleImputationofMissingData.
BocaRaton,Fl:Chapman;Hall/CRC.
vanBuuren,S.
,&Groothuis-Oudshoorn,K.
(2011).
mice:MultivariateImputationbyChainedEquationsinR.
JournalofStatisticalSoftware,45(3),1–67.
http://www.
jstatsoft.
org/v45/i03/.
Literatur549Bühner,M.
(2011).
EinführungindieTest-undFragebogenkonstruktion.
Hallbergmoos:Pearson.
Canty,A.
,&Ripley,B.
D.
(2017).
boot:BootstrapR(S-Plus)Functions.
Carsey,T.
M.
,&Harden,J.
J.
(2013).
MonteCarlosimulationandresamplingmethodsforsocialscience.
LosAngeles:SAGE.
Chacon,S.
,&Straub,B.
(2014).
ProGit.
NewYorkCity,NY:Apress.
Chambers,C.
(2017).
TheSevenDeadlySinsofPsychology:AManifestoforReformingtheCultureofScienticPractice.
Princeton,CA:PrincetonUniversityPress.
Champely,S.
(2018).
pwr:BasicFunctionsforPowerAnalysis.
https://CRAN.
R-project.
org/package=pwr.
Cheng,J.
,Karambelkar,B.
,&Xie,Y.
(2017).
leaet:CreateInteractiveWebMapswiththeJava-Script'Leaet'Library.
https://CRAN.
R-project.
org/package=leaet.
Chui,M.
,Manyika,J.
,Miremadi,M.
,Henke,N.
,Chung,R.
,Nel,P.
,&Malhotra,A.
S.
(2018).
NotesfromtheAIfrontier.
ReportbyMcKinsey&Company.
https://www.
mckinsey.
com/featured-insights/articial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning.
Cleveland,W.
S.
(1993).
VisualizingData.
Summit,NJ:HobartPress.
Clopper,C.
J.
,&Pearson,E.
S.
(1934).
Theuseofcondenceorduciallimitsillustratedinthecaseofthebinomial.
Biometrika,26(4),404–413.
Cobb,G.
W.
(2007).
Theintroductorystatisticscourse:aPtolemaiccurriculumTechnologyInno-vationsinStatisticsEducation,1(1).
Cobb,G.
W.
(2015).
MereRenovationisTooLittleTooLate:WeNeedtoRethinkOurUndergra-duateCurriculumfromtheGroundUp.
TheAmericanStatistician,69(4),266–282.
https://doi.
org/10.
1080/00031305.
2015.
1093029.
Cohen,J.
(1988).
StatisticalPowerAnalysisfortheBehavioralSciences.
Abingdon-on-Thames,UK:Routledge.
https://doi.
org/10.
4324/9780203771587.
Cohen,J.
(1992).
Apowerprimer.
PsychologicalBulletin,112(1),155–159.
Cohen,J.
,Cohen,P.
,West,S.
G.
,&Aiken,L.
S.
(2013).
Appliedmultipleregression/correlationanalysisforthebehavioralsciences.
BocaRaton,Florida:Routledge.
Dahl,D.
B.
(2016).
xtable:ExportTablestoLaTeXorHTML.
https://CRAN.
R-project.
org/package=xtable.
Daróczi,G.
,&Tsegelskyi,R.
(2017).
pander:AnR'Pandoc'Writer.
https://CRAN.
R-project.
org/package=pander.
DeutscheWelle(2017).
ListevonTwitter-AccountsdeutscherPolitiker.
https://twitter.
com/dw_politics/lists/german-politicians/memberslang=en.
Diez,D.
M.
,Barr,C.
D.
,&Cetinkaya-Rundel,M.
(2014).
IntroductoryStatisticswithRandomizati-onandSimulation.
NorthCharleston,SC:CreateSpace.
Diez,D.
M.
,Barr,C.
D.
,&Cetinkaya-Rundel,M.
(2015).
OpenIntrostatistics.
CreateSpace.
https://www.
openintro.
org/.
Dodge,Y.
(Hrsg.
)(2006).
TheOxfordDictionaryofStatisticalTerms.
OxfordUniversityPress.
Durand,M.
(2015).
TheOECDBetterLifeInitiative:How'sLifeandtheMeasurementofWell-Being.
ReviewofIncomeandWealth,61(1),4–17.
https://doi.
org/10.
1111/roiw.
12156.
Efron,B.
,&Tibshirani,R.
(1994).
AnIntroductiontotheBootstrap.
BocaRaton,FL:Taylor&Francis.
https://books.
google.
de/booksid=gLlpIUxRntoC.
Eid,M.
,Gollwitzer,M.
,&Schmitt,M.
(2010).
StatistikundForschungsmethoden.
Gttingen:Ho-grefe.
Fair,R.
C.
(1978).
Atheoryofextramaritalaffairs.
JournalofPoliticalEconomy,86(1),45–61.
Farrell,H.
(2012,Juli).
MiltonFriedman'sThermostat.
BlogPost.
http://themonkeycage.
org/2012/07/milton-friedmans-thermostat/.
Fellows,I.
(2014).
wordcloud:WordClouds.
https://CRAN.
R-project.
org/package=wordcloud.
550LiteraturFisher,R.
A.
(1955).
Statisticalmethodsandscienticinduction.
JournaloftheRoyalStatisticalSociety.
SeriesB(Methodological),17(1),69–78.
Fisher,R.
A.
(2008).
Photograph.
http://www.
swlearning.
com/quant/kohler/stat/biographical_sketches/Fisher_3.
jpeg.
Flach,P.
,&Hadjiantonis,A.
(2013).
AbductionandInduction:EssaysontheirRelationandInte-gration.
https://books.
google.
de/booksid=E7fnCAAAQBAJ.
Flick,U.
(2007).
QualitativeSozialforschung:eineEinführung.
Berlin:Rowohlt.
http://books.
google.
de/booksid=zvISAQAAMAAJ.
Fonticons(2018).
Icons'check-square-regular','laptop-solid',and'bell-regular'fromFontAwe-some.
https://fontawesome.
com/license/freeFoucault,M.
(1994).
berwachenundStrafen.
DieGeburtdesGefngnisses.
Frankfurt:Suhrkamp.
Fox,J.
(2005).
TheRCommander:ABasicStatisticsGraphicalUserInterfacetoR.
JournalofStatisticalSoftware,14(9),1–42.
http://www.
jstatsoft.
org/v14/i09.
Fox,J.
(2016).
UsingtheRCommander:APoint-and-ClickInterfaceforR.
Chapman&Hall/CRCTheRSeries.
Cambridge,MA:Chapman;Hall/CRC.
Fox,J.
,&Weisberg,S.
(2011).
AnRCompaniontoAppliedRegression(Second.
).
ThousandOaksCA:SAGE.
http://socserv.
socsci.
mcmaster.
ca/jfox/Books/Companion.
Franco,A.
,Malhotra,N.
,&Simonovits,G.
(2014).
Publicationbiasinthesocialsciences:Unlockingtheledrawer.
Science,345(6203),1502–1505.
https://doi.
org/10.
1126/science.
1255484.
Freedman,D.
,Pisani,R.
,&Purves,R.
(2007).
Statistics(4.
Au.
).
NewYorkCity,NY:W.
W.
Norton&Company.
Gansser,O.
(2017).
DataforPrincipalComponentAnalysisandCommonFactorAnalysis.
Dataset.
OpenScienceFramework.
osf.
io/zg89r.
Garcia,J.
,&Quintana-Domeque,C.
(2007).
TheevolutionofadultheightinEurope:abriefnote.
Economicsandhumanbiology,5(2),340–349.
Garnier,S.
(2018).
viridis:DefaultColorMapsfrom'matplotlib'.
https://CRAN.
R-project.
org/package=viridis.
Gelman,A.
(2014).
TheFallacyofPlacingCondenceinCondenceIntervals.
BlogPost.
http://andrewgelman.
com/2014/12/11/fallacy-placing-condence-condence-intervals/.
Gentry,J.
(2015).
twitteR:RBasedTwitterClient.
https://CRAN.
R-project.
org/package=twitteR.
GeoBasis-DE,B.
K.
G.
(2017).
Verwaltungsgebiete1:250000.
Webpage.
http://www.
bkg.
bund.
de.
Gerlanc,D.
,&Kirby,K.
(2015).
bootES:BootstrapEffectSizes.
https://CRAN.
R-project.
org/package=bootES.
Gesmann,M.
,&deCastillo,D.
(2011).
googleVis:InterfacebetweenRandtheGoogleVisualisati-onAPI.
TheRJournal,3(2),40–44.
https://journal.
r-project.
org/archive/2011-2/RJournal_2011-2_Gesmann+de~Castillo.
pdf.
Gigerenzer,G.
(1980).
MessungundModellbildunginderPsychologie.
Stuttgart:UTB.
Gigerenzer,G.
(2004).
Mindlessstatistics.
TheJournalofSocio-Economics,33(5),587–606.
https://doi.
org/10.
1016/j.
socec.
2004.
09.
033.
God(2016).
Idon'tcareaboutyou.
Pleasesharethiswithfriends.
TheTweetOfGod.
TwitterTweet.
https://twitter.
com/TheTweetOfGod/status/688035049187454976.
Gower,J.
C.
(1971).
Ageneralcoefcientofsimilarityandsomeofitsproperties.
Biometrics,27(4),857–871.
Grolemund,G.
,&Wickham,H.
(2014).
Acognitiveinterpretationofdataanalysis.
InternationalStatisticalReview,82(2),184–204.
Haig,B.
D.
(2014).
Investigatingthepsychologicalworld.
Cambridge,MA:MITPress.
Literatur551Han,J.
,Kamber,M.
,&Pei,J.
(2011).
DataMining:ConceptsandTechniques(3.
Au.
).
Burlington,Massachusetts:MorganKaufmann.
Hardin,J.
,Hoerl,R.
,Horton,N.
J.
,Nolan,D.
,Baumer,B.
,Hall-Holt,O.
,etal.
(2015).
Datascienceinstatisticscurricula:Preparingstudentsto'ThinkwithData'.
TheAmericanStatistician,69(4),343–353.
Hastie,T.
,Tibshirani,R.
,&Friedman,J.
(2013).
TheElementsofStatisticalLearning:DataMining,Inference,andPrediction.
Bd.
1.
NewYorkCity:Springer.
https://doi.
org/10.
1007/b94608.
Hawkins,D.
M.
,Basak,S.
C.
,&Mills,D.
(2003).
Assessingmodeltbycross-validation.
Journalofchemicalinformationandcomputersciences,43(2),579–586.
Head,M.
L.
,Holman,L.
,Lanfear,R.
,Kahn,A.
T.
,&Jennions,M.
D.
(2015).
TheExtentandCon-sequencesofP-HackinginScience.
PLOSBiology,13(3),e1002106.
https://doi.
org/10.
1371/journal.
pbio.
1002106.
Henrich,J.
,Heine,S.
J.
,&Norenzayan,A.
(2010).
TheWeirdestPeopleintheWorldBehavioralandBrainSciences,33(2-3),61–83.
Henry,L.
,&Wickham,H.
(2018).
rlang:FunctionsforBaseTypesandCoreRand'Tidyverse'Features.
https://CRAN.
R-project.
org/package=rlang.
Hlavac,M.
(2018).
stargazer:Well-FormattedRegressionandSummaryStatisticsTables.
Bratisla-va,Slovakia:CentralEuropeanLabourStudiesInstitute(CELSI).
https://CRAN.
R-project.
org/package=stargazer.
Hothorn,T.
,&Zeileis,A.
(2015).
partykit:AModularToolkitforRecursivePartytioninginR.
JournalofMachineLearningResearch,16,3905–3909.
http://jmlr.
org/papers/v16/hothorn15a.
html.
Hugh-Jones,D.
(2018).
huxtable:EasilyCreateandStyleTablesforLaTeX,HTMLandOtherFormats.
https://CRAN.
R-project.
org/package=huxtable.
Hunt,A.
,&Thomas,D.
(1999).
ThePragmaticProgrammer:FromJourneymantoMaster.
Boston,MA:Addison-WesleyProfessional.
Hyndman,R.
J.
(2014).
ToexplainorpredictBlogPost.
https://robjhyndman.
com/hyndsight/to-explain-or-predict/.
Ihaka,R.
,&Gentleman,R.
(1996).
R:ALanguageforDataAnalysisandGraphics.
JournalofComputationalandGraphicalStatistics,5(3),299–314.
https://doi.
org/10.
1080/10618600.
1996.
10474713.
Jackson,S.
(2016).
corrr:CorrelationsinR.
https://CRAN.
R-project.
org/package=corrr.
James,G.
,Witten,D.
,Hastie,T.
,&Tibshirani,R.
(2013).
AnIntroductiontoStatisticalLearning.
Bd.
6.
NewYorkCity,NewYork:Springer.
Jaynes,E.
T.
(2003).
Probabilitytheory:Thelogicofscience.
Cambridge,MA:CambridgeUniver-sityPress.
fromJedWing,M.
K.
C.
,Weston,S.
,Williams,A.
,Keefer,C.
,Engelhardt,A.
,Cooper,T.
,Hunt,T.
,etal.
(2018).
caret:ClassicationandRegressionTraining.
https://CRAN.
R-project.
org/package=caret.
Jeppson,H.
,Hofmann,H.
,&Cook,D.
(2017).
ggmosaic:MosaicPlotsinthe'ggplot2'Framework.
https://CRAN.
R-project.
org/package=ggmosaic.
Kahle,D.
,&Wickham,H.
(2013).
ggmap:SpatialVisualizationwithggplot2.
TheRJournal,5(1),144–161.
http://journal.
r-project.
org/archive/2013-1/kahle-wickham.
pdf.
Kashnitsky,I.
(2017).
Subplotsinmapswithggplot2.
Blogpost.
https://ikashnitsky.
github.
io/2017/subplots-in-maps/.
Kass,R.
E.
,&Raftery,A.
E.
(1995).
BayesFactors.
JournaloftheAmericanStatisticalAssociation,90(430),773–795.
https://doi.
org/10.
1080/01621459.
1995.
10476572.
Kerby,D.
S.
(2014).
TheSimpleDifferenceFormula:AnApproachtoTeachingNonparametricCorrelation.
ComprehensivePsychology,3(11.
IT.
3.
1)https://doi.
org/10.
2466/11.
IT.
3.
1.
552LiteraturKershaw,I.
(2015).
ToHellandBack:Europe,1914–1949(AlanLaneHistory).
London:AllenLane.
Keynes,J.
M.
(2013).
Atreatiseonprobability.
London:CourierCorporation.
Kim,A.
Y.
,&Escobedo-Land,A.
(2015).
OkCupidDataforIntroductoryStatisticsandDataScienceCourses.
JournalofStatisticsEducation,23(2),n2.
Kirby,K.
N.
,&Gerlanc,D.
(2013).
BootES:AnRpackageforbootstrapcondenceintervalsoneffectsizes.
BehaviorResearchMethods,45(4),905–927.
https://doi.
org/10.
3758/s13428-013-0330-5.
Kosinski,M.
,Stillwell,D.
,&Graepel,T.
(2013).
Privatetraitsandattributesarepredictablefromdigitalrecordsofhumanbehavior.
ProceedingsoftheNationalAcademyofSciences,110(15),5802–5805.
Kowarik,A.
,&Templ,M.
(2016).
ImputationwiththeRPackageVIM.
JournalofStatisticalSoft-ware,74(7),1–16.
https://doi.
org/10.
18637/jss.
v074.
i07.
Krmer,W.
(2011).
WiewirunsvonfalschenTheorientuschenlassen.
BerlinUniversityPress.
https://books.
google.
de/booksid=HWUKaAEACAAJ.
Krugman,P.
(2013).
TheExcelDepression.
TheNewYorkTimes,A31.
Kruschke,J.
(2014).
DoingBayesianDataAnalysis,SecondEdition:ATutorialwithR,JAGS,andStan.
Cambridge,MA:AcademicPress.
Kuhn,M.
,&Johnson,K.
(2013).
Appliedpredictivemodeling.
NewYork:Springer.
Liaw,A.
,&Wiener,M.
(2002).
ClassicationandRegressionbyrandomForest.
RNews,2(3),18–22.
http://CRAN.
R-project.
org/doc/Rnews/.
Ligges,U.
(2008).
ProgrammierenmitR(StatistikundihreAnwendungen)(GermanEdition).
Ber-lin:Springer.
Little,R.
,&Rubin,D.
B.
(2002).
StatisticalAnalysiswithMissingData.
Wiley.
Little,R.
,&Rubin,D.
(2014).
StatisticalAnalysiswithMissingData.
NewYorkCity,NY:Wiley.
https://books.
google.
de/booksid=AyVeBAAAQBAJ.
Lovett,M.
C.
,&Greenhouse,J.
B.
(2000).
ApplyingCognitiveTheorytoStatisticsInstruction.
TheAmericanStatistician,54(3),196–206.
https://doi.
org/10.
1080/00031305.
2000.
10474545.
Luhmann,M.
(2015).
RfürEinsteiger.
Beltz:Nordhausen.
Maechler,M.
,Rousseeuw,P.
,Struyf,A.
,Hubert,M.
,&Hornik,K.
(2018).
cluster:ClusterAnalysisBasicsandExtensions.
Markgraf,N.
(2018).
typography.
py.
Software.
https://github.
com/NMarkgraf/typography.
py.
Matejka,J.
,&Fitzmaurice,G.
(2017).
Samestats,differentgraphs:Generatingdatasetswithvariedappearanceandidenticalstatisticsthroughsimulatedannealing.
InProceedingsofthe2017CHIConferenceonHumanFactorsinComputingSystems(S.
1290–1294).
ACM.
McElreath,R.
(2015).
StatisticalRethinking:ABayesianCoursewithExamplesinRandStan.
BocaRaton,FL:Chapman;Hall/CRC.
McNamara,A.
,ArinodelaRubia,E.
,Zhu,H.
,Ellis,S.
,&Quinn,M.
(2018).
skimr:CompactandFlexibleSummariesofData.
https://CRAN.
R-project.
org/package=skimr.
Meehl,P.
E.
(1978).
Theoreticalrisksandtabularasterisks:SirKarl,SirRonald,andtheslowpro-gressofsoftpsychology.
JournalofconsultingandclinicalPsychology,46(4),806.
Meschiari,S.
(2015).
latex2exp:UseLaTeXExpressionsinPlots.
https://CRAN.
R-project.
org/package=latex2exp.
Micceri,T.
(1989).
Theunicorn,thenormalcurve,andotherimprobablecreatures.
PsychologicalBulletin,105(1),156–166.
https://doi.
org/10.
1037/0033-2909.
105.
1.
156.
Molinaro,A.
M.
,Simon,R.
,&Pfeiffer,R.
M.
(2005).
Predictionerrorestimation:acomparisonofresamplingmethods.
Bioinformatics,21(15),3301–3307.
Mooney,C.
,Duval,R.
,&Duvall,R.
(1993).
Bootstrapping:ANonparametricApproachtoStatisti-calInference.
SAGE.
https://books.
google.
de/booksid=ZxaRC4I2z6sC.
Literatur553Moore,D.
(1990).
Uncertainty.
InN.
R.
Council(Hrsg.
),Ontheshouldersofgiants:Newapproa-chestonumeracy(S.
95–137).
Washington,DC:ERIC.
https://doi.
org/10.
17226/1532.
Morey,R.
D.
,&Rouder,J.
N.
(2015).
BayesFactor:ComputationofBayesFactorsforCommonDesigns.
http://bayesfactorpcl.
r-forge.
r-project.
org/.
Morey,R.
D.
,Hoekstra,R.
,Rouder,J.
N.
,Lee,M.
D.
,&Wagenmakers,E.
-J.
(2016).
Thefallacyofplacingcondenceincondenceintervals.
PsychonomicBulletin&Review,23(1),103–123.
https://doi.
org/10.
3758/s13423-015-0947-8.
Nakagawa,S.
,&Cuthill,I.
C.
(2007).
Effectsize,condenceintervalandstatisticalsignicance:apracticalguideforbiologists.
BiologicalReviews,82(4),591–605.
https://doi.
org/10.
1111/j.
1469-185X.
2007.
00027.
x.
Navarro,D.
(2015).
LearningstatisticswithR:Atutorialforpsychologystudentsandotherbegin-ners.
(Version0.
5).
Adelaide,Australia:UniversityofAdelaide.
http://ua.
edu.
au/ccs/teaching/lsr.
Neuwirth,E.
(2014).
RColorBrewer:ColorBrewerPalettes.
https://CRAN.
R-project.
org/package=RColorBrewer.
Neyman,J.
(1937).
OutlineofaTheoryofStatisticalEstimationBasedontheClassicalTheoryofProbability.
Phil.
Trans.
R.
Soc.
Lond.
A,236(767),333–380.
Neyman,J.
,&Pearson,E.
S.
(1933).
Ontheproblemofthemostefcienttestsofstatisticalhy-potheses.
PhilosophicalTransactionsoftheRoyalSocietyofLondonA:Mathematical,PhysicalandEngineeringSciences,231,289–337.
https://doi.
org/10.
1098/rsta.
1933.
0009.
OECD(2016).
DatafromtheOECDRegionalWellbeingstudy(RWB_03112017172414431).
https://www.
oecdregionalwellbeing.
org/(Erstellt:06.
2016).
Ooms,J.
(2018).
pdftools:TextExtraction,RenderingandConvertingofPDFDocuments.
https://CRAN.
R-project.
org/package=pdftools.
OpenScienceCollaboration(2015).
Estimatingthereproducibilityofpsychologicalscience.
Science,349(6251)https://doi.
org/10.
1126/science.
aac4716.
Orzetto(2010).
CoefcientofDetermination.
https://en.
wikipedia.
org/wiki/Coefcient_of_determination#/media/File:Coefcient_of_Determination.
svgZugegriffen:18.
02.
2017.
Pearl,J.
(2009).
Causality.
Cambridge:CambridgeUniversityPress.
Pebesma,E.
(2018).
sf:SimpleFeaturesforR.
https://CRAN.
R-project.
org/package=sf.
Peng,R.
(2014).
RProgrammingfordatascience.
Victoria:Canada:Leanpub.
Popper,K.
(1968).
LogikderForschung.
Tübingen:Mohr.
Popper,K.
(1972).
DieOffeneGesellschaftundihreFeinde.
Bern:FranckeUTB.
duPrel,J.
-B.
,Roehrig,B.
,Hommel,G.
,&Blettner,M.
(2010).
DeutschesAerzteblattOnline.
https://doi.
org/10.
3238/arztebl.
2010.
0343.
Pruim,R.
,Kaplan,D.
T.
,&Horton,N.
J.
(2017).
ThemosaicPackage:HelpingStudentsto'ThinkwithData'UsingR.
TheRJournal,9(1),77–102.
https://journal.
r-project.
org/archive/2017/RJ-2017-024/index.
html.
Quercia,D.
,Kosinski,M.
,Stillwell,D.
,&Crowcroft,J.
(2011).
Ourtwitterproles,ourselves:Predictingpersonalitywithtwitter.
InPrivacy,Security,RiskandTrust(PASSAT)and2011IEEEThirdInernationalConferenceonSocialComputing(SocialCom),2011IEEEThirdInternationalConferenceon(S.
180–185).
IEEE.
RCoreTeam(2018).
Rlanguagedenition.
Vienna,Austria:Rfoundationforstatisticalcomputing.
Raiche,G.
(2010).
anRpackageforparallelanalysisandnongraphicalsolutionstotheCattellscreetest.
http://CRAN.
R-project.
org/package=nFactors.
Ram,K.
,&Wickham,H.
(2016).
wesanderson:AWesAndersonPaletteGenerator.
https://github.
com/karthik/wesanderson.
Ranganathan,P.
,Pramesh,C.
,&Buyse,M.
(2015).
Commonpitfallsinstatisticalanalysis:Noevidenceofeffect"versusevidenceofnoeffect".
PerspectivesinClinicalResearch,6(1),62–63.
https://doi.
org/10.
4103/2229-3485.
148821.
554LiteraturRemus,R.
,Quasthoff,U.
,&Heyer,G.
(2010).
SentiWS–aPubliclyAvailableGerman-languageResourceforSentimentAnalysis.
InProceedingsofthe7thInternationalLanguageResourcesandEvaluation(LREC'10)(S.
1168–1171).
Ren,K.
,&Russell,K.
(2016).
formattable:Create'Formattable'DataStructures.
https://CRAN.
R-project.
org/package=formattable.
Revelle,W.
(2018).
psych:ProceduresforPsychological,Psychometric,andPersonalityResearch.
Evanston,Illinois:NorthwesternUniversity.
https://CRAN.
R-project.
org/package=psych.
Rickert,J.
(2017).
10,000CRANPackages.
R-Views.
https://rviews.
rstudio.
com/2017/01/06/10000-cran-packages/.
Robin,X.
,Turck,N.
,Hainard,A.
,Tiberti,N.
,Lisacek,F.
,Sanchez,J.
-C.
,&Müller,M.
(2011).
pROC:anopen-sourcepackageforRandS+toanalyzeandcompareROCcurves.
BMCBioin-formatics,12,77.
Robinson,D.
(2017).
WhataretheMostDislikedProgrammingLanguagesBlogpost.
https://stackoverow.
blog/2017/10/31/disliked-programming-languages/.
Robinson,D.
(2018).
broom:ConvertStatisticalAnalysisObjectsintoTidyDataFrames.
https://CRAN.
R-project.
org/package=broom.
Romeijn,J.
-W.
(2016).
PhilosophyofStatistics.
InE.
N.
Zalta(Hrsg.
),TheStanfordEncyclopediaofPhilosophy.
http://plato.
stanford.
edu/archives/win2016/entries/statistics/.
RStudio(2018).
RStudioDesktop.
Software.
https://www.
rstudio.
com/.
Rucker,R.
(2004).
InnityandtheMind.
PrincetonUniversityPress.
Rudis,B.
(2014).
ggcounty.
https://github.
com/hrbrmstr/ggcounty.
Sachs,M.
C.
(2017).
plotROC:AToolforPlottingROCCurves.
JournalofStatisticalSoftware,CodeSnippets,79(2),1–19.
https://doi.
org/10.
18637/jss.
v079.
c02.
Saint-Mont,U.
(2011).
StatistikimForschungsprozess:einePhilosophiederStatistikalsBausteineinerintegrativenWissenschaftstheorie.
Heidelberg:Springer.
Salam,J.
(2017).
Quasi-QuotationByAnalogy.
BlogPost.
http://blog.
jalsalam.
com/posts/2017/quasi-quotation-as-meta-recipe/.
Sauer,S.
(2017a).
prada:DataandRfunctionsasacompaniontomybookStatistik_21".
Sauer,S.
(2017b).
yart:ARMarkdownTemplateforwritingPDFreports.
https://github.
com/sebastiansauer/yart.
Sauer,S.
(2017c).
Height,sex,andshoesizeofsomestudents.
DataSet.
https://doi.
org/10.
17605/OSF.
IO/JA9DW.
Sauer,S.
(2017d).
Resultsfromanexamininferentialstatistics.
DataSet.
https://doi.
org/10.
17605/OSF.
IO/SJHUY.
Sauer,S.
(2017e).
Resultsfromasurveyonextraversion.
DataSet.
https://doi.
org/10.
17605/OSF.
IO/4KGZH.
Sauer,S.
(2018).
pradadata:DataSetsforPracticalDataAnalysis.
https://github.
com/sebastiansauer/pradadata.
Sauer,S.
,&Wolff,A.
(2016).
Theeffectofastatussymbolonsuccessinonlinedating:anex-perimentalstudy(datapaper).
TheWinnower.
3:e147241.
13309.
https://doi.
org/10.
15200/winn.
147241.
13309.
Sauer,S.
,Walach,H.
,&Kohls,N.
(2010).
Gray'sBehaviouralInhibitionSystemasamediatorofmindfulnesstowardswell-being.
PersonalityandIndividualDifferences,50(4),506–551.
https://doi.
org/10.
1016/j.
paid.
2010.
11.
019.
Scherer,A.
(2013).
NeuronaleNetze:GrundlagenundAnwendungen.
Berlin:Springer.
Schloerke,B.
,Crowley,J.
,Cook,D.
,Briatte,F.
,Marbach,M.
,Thoen,E.
,Larmarange,J.
,etal.
(2017).
GGally:Extensionto'ggplot2'.
https://CRAN.
R-project.
org/package=GGally.
Schuler,H.
(2015).
LehrbuchOrganisationspsychologie.
Bern:HuberHans.
Literatur555Schwartz,S.
H.
(1999).
ATheoryofCulturalValuesandSomeImplicationsforWork.
AppliedPsychology,48(1),23–47.
https://doi.
org/10.
1111/j.
1464-0597.
1999.
tb00047.
x.
Shearer,C.
(2000).
TheCRISP-DMmodel:thenewblueprintfordatamining.
Journalofdatawarehousing,5(4),13–22.
Shmueli,G.
(2010).
ToExplainortoPredictStatisticalScience,25(3),289–310.
https://doi.
org/10.
1214/10-STS330.
Sight,S.
(2017).
DataScienceCrash-Course.
SharpSight.
Silge,J.
,&Robinson,D.
(2016).
tidytext:TextMiningandAnalysisUsingTidyDataPrinciplesinR.
TheJournalofOpenSourceSoftware,1(3)https://doi.
org/10.
21105/joss.
00037.
Silver,D.
,Hubert,T.
,Schrittwieser,J.
,Antonoglou,I.
,Lai,M.
,Guez,A.
,Hassabis,D.
,etal.
(2017a).
MasteringChessandShogibySelf-PlaywithaGeneralReinforcementLearningAl-gorithm.
CoRR,abs/1712.
01815.
http://arxiv.
org/abs/1712.
01815.
Silver,D.
,Schrittwieser,J.
,Simonyan,K.
,Antonoglou,I.
,Huang,A.
,Guez,A.
,Hassabis,D.
,etal.
(2017b).
MasteringthegameofGowithouthumanknowledge.
Nature,550(7676),354–359.
https://doi.
org/10.
1038/nature24270.
Silver,N.
(2012).
Thesignalandthenoise:theartandscienceofprediction.
London:PenguinUK.
Simonsohn,U.
,Nelson,L.
D.
,&Simmons,J.
P.
(2014).
P-curve:akeytothele-drawer.
Journalofexperimentalpsychology.
General,143(2),534–547.
https://doi.
org/10.
1037/a0033242.
Soetaert,K.
(2017).
plot3D:PlottingMulti-DimensionalData.
https://CRAN.
R-project.
org/package=plot3D.
South,A.
(2011).
rworldmap:ANewRpackageforMappingGlobalData.
TheRJournal,3(1),35–43.
http://journal.
r-project.
org/archive/2011-1/RJournal_2011-1_South.
pdf.
Spurzem,L.
(2017).
VW1303vonWikingin1:87.
Photograph.
https://de.
wikipedia.
org/wiki/Modellautomobil#/media/File:Wiking-Modell_VW_1303_(um_1975).
JPG.
Stanley,D.
(2018).
apaTables:CreateAmericanPsychologicalAssociation(APA)StyleTables.
https://CRAN.
R-project.
org/package=apaTables.
Stevenson,A.
(2010).
OxfordDictionaryofEnglish.
Oxford,UK:OUP.
https://books.
google.
de/booksid=anecAQAAQBAJ.
Strauss,A.
,&Corbin,J.
M.
(1990).
Basicsofqualitativeresearch:Groundedtheoryproceduresandtechniques.
ThousandOaks,Ca:SAGE.
Strobl,C.
,&Malley,J.
(2009).
AnIntroductiontoRecursivePartitioning.
BaggingandRandomFo-rests:Rationale,ApplicationandCharacteristics.
PsychologicalMethods,14(4),323–348.
https://doi.
org/10.
1037/a0016973.
Suppes,P.
,&Zinnes,J.
(1963).
BasicMeasurementTheory.
InD.
Luce(Hrsg.
),JournalofSymbolicLogic(S.
1–1).
JohnWiley&Sons.
Tan,P.
-N.
(2013).
IntroductiontoDataMining.
Boston,Ma:Addison-Wesley.
Therneau,T.
,&Atkinson,B.
(2018).
rpart:RecursivePartitioningandRegressionTrees.
https://CRAN.
R-project.
org/package=rpart.
Trilling,B.
,&Fadel,C.
(2012).
21stCenturySkills:LearningforLifeinOurTimes.
SanFrancisco,CA:Jossey-Bass.
Tufte,E.
R.
(1990).
EnvisioningInformation.
Ceshire,CO:GraphicsPress.
Tufte,E.
R.
(2001).
TheVisualDisplayofQuantitativeInformation.
Ceshire,CO:GraphicsPress.
Tufte,E.
R.
(2006).
BeautifulEvidence.
Ceshire,CO:GraphicsPress.
Tukey,J.
W.
(1962).
Thefutureofdataanalysis.
Theannalsofmathematicalstatistics,33(1),1–67.
Unrau,S.
(2017).
NoTitle.
Photograph.
https://unsplash.
com/photos/CoD2Q92UaEg.
Urbanek,S.
(2013).
png:ReadandwritePNGimages.
https://CRAN.
R-project.
org/package=png.
VanDerWal,J.
,Falconi,L.
,Januchowski,S.
,Shoo,L.
,&Storlie,C.
(2014).
SDMTools:Speci-esDistributionModellingTools:Toolsforprocessingdataassociatedwithspeciesdistributionmodellingexercises.
https://CRAN.
R-project.
org/package=SDMTools.
556LiteraturVenables,W.
N.
,&Ripley,B.
D.
(2002).
ModernAppliedStatisticswithS(Fourth.
).
NewYork:Springer.
http://www.
stats.
ox.
ac.
uk/pub/MASS4.
Wagenmakers,E.
-J.
(2007).
Apracticalsolutiontothepervasiveproblemsofpvalues.
PsychonomicBulletin&Review,14(5),779–804.
https://doi.
org/10.
3758/bf03194105.
Wagenmakers,E.
-J.
,Morey,R.
D.
,&Lee,M.
D.
(2016).
Bayesianbenetsforthepragmaticrese-archer.
CurrentDirectionsinPsychologicalScience,25(3),169–176.
Warnes,G.
R.
,Bolker,B.
,Bonebakker,L.
,Gentleman,R.
,Liaw,W.
H.
A.
,Lumley,T.
Vena-bles,B.
(2016).
gplots:VariousRProgrammingToolsforPlottingData.
https://CRAN.
R-project.
org/package=gplots.
Wasserstein,R.
L.
,&Lazar,N.
A.
(2016).
TheASA'sStatementonp-Values:Context,Process,andPurpose.
TheAmericanStatistician,70(2),129–133.
https://doi.
org/10.
1080/00031305.
2016.
1154108.
Wei,T.
,&Simko,V.
(2017).
Rpackagecorrplot":VisualizationofaCorrelationMatrix.
https://github.
com/taiyun/corrplot.
Wicherts,J.
M.
,Veldkamp,C.
L.
S.
,Augusteijn,H.
E.
M.
,Bakker,M.
,vanAert,R.
C.
M.
,&vanAssen,M.
A.
L.
M.
(2016).
DegreesofFreedominPlanning,Running,Analyzing,andReportingPsychologicalStudies:AChecklisttoAvoidp-Hacking.
FrontiersinPsychology,7https://doi.
org/10.
3389/fpsyg.
2016.
01832.
Wickham,H.
(2014).
AdvancedR.
BocaRaton,Florida:CRCPress.
Wickham,H.
(2015).
ggplot2movies:MoviesData.
https://CRAN.
R-project.
org/package=ggplot2movies.
Wickham,H.
(2016).
ggplot2:ElegantGraphicsforDataAnalysis(UseR!
).
NewYork:Springer.
Wickham,H.
(2017a).
modelr:ModellingFunctionsthatWorkwiththePipe.
https://CRAN.
R-project.
org/package=modelr.
Wickham,H.
(2017b).
tidyverse:EasilyInstallandLoadthe'Tidyverse'.
https://CRAN.
R-project.
org/package=tidyverse.
Wickham,H.
(2018a).
pryr:ToolsforComputingontheLanguage.
https://CRAN.
R-project.
org/package=pryr.
Wickham,H.
(2018b).
scales:ScaleFunctionsforVisualization.
https://github.
com/hadley/scales.
Wickham,H.
(2018c).
stringr:Simple,ConsistentWrappersforCommonStringOperations.
https://CRAN.
R-project.
org/package=stringr.
Wickham,H.
,&Grolemund,G.
(2016).
RforDataScience:Visualize,Model,Transform,Tidy,andImportData.
O'ReillyMedia.
Wickham,H.
,&Grolemund,G.
(2017).
RfürDataScience.
Sebastopol,CA:O'Reilly.
Wickham,H.
,&Henry,L.
(2018).
tidyr:EasilyTidyDatawith'spread()'and'gather()'Functions.
https://CRAN.
R-project.
org/package=tidyr.
Wickham,H.
,Francois,R.
,Henry,L.
,&Müller,K.
(2017).
dplyr:AGrammarofDataManipulati-on.
https://CRAN.
R-project.
org/package=dplyr.
Wickham,H.
,Hester,J.
,&Chang,W.
(2018).
devtools:ToolstoMakeDevelopingRPackagesEasier.
https://CRAN.
R-project.
org/package=devtools.
Wikipedia(2017).
Krpergre—Wikipedia,DiefreieEnzyklopdie.
https://de.
wikipedia.
org/w/index.
phptitle=K%C3%B6rpergr%C3%B6%C3%9Fe&oldid=165047921.
Wild,C.
J.
,&Pfannkuch,M.
(1999).
Statisticalthinkinginempiricalenquiry.
InternationalStati-sticalReview,67(3),223–248.
Wild,F.
(2015).
lsa:LatentSemanticAnalysis.
https://CRAN.
R-project.
org/package=lsa.
Wilke,C.
O.
(2017).
cowplot:StreamlinedPlotThemeandPlotAnnotationsfor'ggplot2'.
https://CRAN.
R-project.
org/package=cowplot.
Wilkinson,L.
(2006).
Thegrammarofgraphics.
NewYorkCity,NY:Springer.
Literatur557WinstonChang(2014).
extrafont:Toolsforusingfonts.
https://CRAN.
R-project.
org/package=extrafont.
Wright,M.
N.
,&Ziegler,A.
(2017).
ranger:AFastImplementationofRandomForestsforHighDimensionalDatainC++andR.
JournalofStatisticalSoftware,77(1),1–17.
https://doi.
org/10.
18637/jss.
v077.
i01.
Xie,Y.
(2015).
DynamicDocumentswithRandknitr(2.
Au.
).
BocaRaton,Florida:Chapman;Hall/CRC.
http://yihui.
name/knitr/.
Xie,Y.
(2018).
knitr:AGeneral-PurposePackageforDynamicReportGenerationinR.
https://yihui.
name/knitr/.
Youyou,W.
,Kosinski,M.
,&Stillwell,D.
(2015).
Computer-basedpersonalityjudgmentsaremoreaccuratethanthosemadebyhumans.
ProceedingsoftheNationalAcademyofSciences,112(4),1036–1040.
Zhu,H.
(2017).
CreateAwesomeHTMLTablewithknitr::kableandkableExtra.
https://cran.
r-project.
org/web/packages/kableExtra/vignettes/awesome_table_in_html.
html.
Zhu,H.
(2018).
kableExtra:ConstructComplexTablewith'kable'andPipeSyntax.
https://CRAN.
R-project.
org/package=kableExtra.
Ziemann,M.
,Eren,Y.
,&El-Osta,A.
(2016).
Genenameerrorsarewidespreadinthescienticliterature.
GenomeBiology,17(1),177.
https://doi.
org/10.
1186/s13059-016-1044-7.
Zuguang,G.
(2017).
Addlegendstocirclizeplot.
http://zuguang.
de/blog/html/add_legend_to_circlize.
html.
Zumel,N.
,Mount,J.
,&Porzak,J.
(2014).
PracticaldatasciencewithR.
ShelterIsland,NY:Man-ning.
Sachverzeichnis::,doppelterDoppelpunkt,40AAbduktion,248Abweichungsbalken,105Abweichungsstecken,Abweichungslinien,324Achsenabschnitt,322Achsenabschnitt,Intercept,328agglomerativeClusteranalyse,438AkaikeInformationCriterion,AIC,353Algorithmus,391AllgemeinesLinearesModell,GeneralisiertesLinearesModell,251AllgemeinesLinearesModells,GeneralisiertesLinearesModell,GeneralLinearModel,GLM,347Alpha-Wert,168Alternativhypothese,H1,HA,273angeleitetesLernen,253ANOVA,Varianzanalyse,AOV,281Anscombe,158ApplicationProgrammingInterface,API,466Arbeitsverzeichnis,31Argument,39sthetikum,179,210Attribute,50,55,62AUC,FlcheunterderKurve,AreaUnderCurve,358Ausdruck,Expression,Zitation,529Ausprgungen,8,51Auszeichnungssprache,MarkupLanguage,479BBagging,377,394baumbasierteVerfahren,Bume,377Befehl,511Befehl,Funktion,Anweisung,39Befehle,Funktionen,22Beobachtungseinheiten,Beobachtung,Flle,8Bereichsschtzer,Intervallschtzer,286Bestimmtheitsma,325Bias,256Bibtex,488Binnen,136bivariat,multivariat,104Bootstrap,Boostrapping,308Bootstrapping,394CCART,ClassicationandRegressionTrees,378Chancen,349Chi-Quadrat-Test,278Choroplethenkarte,233Closure,531Clusteranalyse,Cluster,Typen,437Codebuch,61Codebuch,CodeBook,506Cohensd,289Committen,Committing,509Copy-Paste,476Corpus,450CRAN,14,23CSL-Stil,489CSS-Datei,479CSV,CSV-Datei,65DDataframes,53,59Daten,8datengenerierendeMaschine,251Datenjudo,76559560SachverzeichnisDatensatz,8Datenstrukturen,48Deduktion,249Delogarithmieren,349,350Determinationskoefzient,325deterministisch,251Dichotomisieren,331dimensionsreduzierendesModellieren,253Dokumentation,506Dollar-Operator,58dplyr::arrange,82dplyr::count,90dplyr::lter,78dplyr::select,81dplyr::summarise,86DRY,523Dublette,125Dummy-Variablen,407EEffektstrke,289,426einfachesreproduzierbaresBeispiel,33Einussgewicht,b,Beta,Regressionsgewicht,327Einussgewicht,Regressionsgewicht,Regressionskoefzient,323Einussgren,250ElasticNet,416Entschachteln,unnest,451Entscheidungsbume,377Entwicklungsumgebung,IntegratedDevelopmentEnvironment,IDE,21Environment,Umgebung,Arbeitsumgebung,globaleUmgebung,22Erklren,252euklidischerAbstand,440Evaluation,530ExplikativesModellieren,252FFaktoren,51Faktorstufen,levels,52fallreduzierendesModellieren,253Faltung,fold,259Farbpalettedivergierend,188,224Farbpalettekontrastierend,188Farbpalettesequenziell,188Fehlerterm,251FlcheunterderKurve,AUC,430Formelschreibweise,107Funktionen,511GGegenstandsbereich,246geleitetesModellieren,252Geome,161,166Git,478,509Github,509Glttungslinie,164Grundgesamtheit,Population,301HHashtag,Schlagwort,467hierarchischeClusteranalyse,438Homoskedastizitt,330IImputieren,122Indizieren,55Induktion,249InformationstheoretischesMa,353Innerhalb-Varianz,Varianzinnerhalb,439Interaktionseffekt,335,336Interaktionsterm,336Interquartilsabstand,IQR,106ISO3166-1alpha-3,225Item-Labels,Labels,208JJSON,467KKausation,252Klassikation,251,353Kommentare,37Komplexittsparameter,383Kondenzintervalle,286,306Konfusionsmatrix,354,355Konsole,22Kontingenztabelle,110Korrelation,Zusammenhang,linearerZusammenhang,112Kreuzvalidierung,259KriteriumderKleinstenQuadrate,328LLagemae,104LaTeX,TeX,477Sachverzeichnis561LernenohneAnleitung,unsupervisedlearning,254Lieblingsstatistiken,108Likelihood,416lineareModelle,321,327Linkfunktion,348Listen,53,57Listenspalte,217logistischeFunktion,347Logit,349lokalgewichtetePolynomregression,LOESS,430MMakele,505Mapping,Zuordnung,161Markdown,479Markup-Format,Auszeichnungssprache,481Masterbrain,302Matrizen,53Md,Median,105MeanDescreaseinAccuracy,431Metadaten,62Mitarbeiterbefragung,464Mittelwert,arithmetischesMittel,104MittlereAbsolutabstand,MAA,MAD,105MittlererQuadratfehler,MeanSquaredError,MSE,325Modell,246Modellanpassung,254Modellt,Modellpassung,Modellgüte,324Modellgüte,254Modellgüte,ModelFit,249Modus,105Multikollinearitt,405multivariat,334NNHST,269Non-standardEvaluation,NSE,Non-Standard-Evaluation,528NormalformeinesDataframes,130Nullhypothese,270Nullhypothese,H0,273Nullhypothesen-Signikanztesten,269Nullmodel,NoInformationRate,389Nullmodell,261,409OObjekte,38,48Objekte,Variablen,511Odds,349OddsRatio,OR,427Ogive,349OOB,Out-of-Bag-Beobachtungen,outofbag,OOB-Sample,394OrdinaryLeastSquares,328Organisationsdiagnose,464Overtting,255Overplotting,168PPakete,14,21,23pandoc,481Parameter,39,286Partionierung,379partitionierendeClusteranalyse,438Partitionierung,136penalisierteModelle,regularisierteModelle,penalizedmodels,416Pfadmodell,250Pfeife,91Population,Grundgesamtheit,301Populationsparameter,268Populismus,495Portabilitt,507Power,292prdiktivesModellieren,16,252Prdiktoren,250Prdiktorenrelevanz,Prdiktorenwichtigkeit,WichtigkeitvonPrdiktoren,429Pruning,ZurückschneideneinesBaumastes,392Punktschtzer,286p-Wert,269,313QQuantil,106Quosure,531RRandomForest,Random-Forest-Modell,411RandomForests,377,394R-Befehl,Funktion,40Reduzieren,253Referenzstufe,363ReferenzstufeeinerFaktorvariablen,417Regression,251,321Regressionsgerade,Regressionslinie,Trendgerade,327562SachverzeichnisRegulrausdrücke,Regex,453reinerVektor,49rekursivesPartionieren,391Relation,248RelativePfade,506Repositorium,504,509Reproduzierbarkeit,17,504,507Resampling,259,308Residuen,329Residuum,Fehler,324Richtigkeit,Korrektklassikationsrate,Accuracy,388RidgeRegression,416RMarkdown,479robust,257ROC-Kurve,ROC,357R-Skript,29SSchtzer,306Screeplot,440,446Sentiment,464Sentimentanalyse,465Sentimentlexikon,460Shape-Daten,217signalnoiseratio,289Signal,Phnomen,9Signkanz,271Signikanz,270Signikanzniveau,272Simulation,305Skalenniveau,104Skriptfenster,22,37SQLite-Datenbanken,471Standardabweichung,SD,105Standardfehler,273,304,306Standardnormalverteilung,133Standardwerte,DefaultValues,Voreinstellung,40Steigung,323Stichprobenverteilung,272,304,305stochastisch,251Stop-Kriterien,391Strafterm,416Streuungsmae,105Stufen,Faktorstufen,levels,51SupportVectorMachines,414Syntax,Code,13TThemes,Themen,195Tibble,tbl-df,tbl,68TidyData,DateninNormalform,3Tidytext-Dataframe,450Token,Term,450Transformieren,94Trendgerade,Regressionsgerade,322Trunkieren,Stemming,457Tuningparameter,384,395,414Twitter,463Uberanpassung,255bergewissheit,Overcertainty,426Umkodieren,136UngeleitetesModellieren,253univariat,103Unquoting,Unzitieren,533Unteranpassung,Undertting,255Urhorde,496VVariable,38variableimportance,398Variablen,Merkmale,8,37Variablenrelevanz,398Variablenwichtigkeit,variableimportance,426Varianz,Var,105Vektor,42,48vektoriell,42vektoriellesVerarbeiten,vektoriellesRechnen,42vektorisiert,515Vorhersagefehler,324,325Vorhersagen,252WWert,8YYAML,Yaml,YAML-Header,482Youden-Index,355ZZellen,Elemente,8zentrieren,337Zielgre,Output-Variable,Kriterium,Ausgabegre,250Zitieren,Quotation,Backen,529Zufallszahlen,set.
seed(),409Zusammenfassungsfunktionen,87
Contabo自4月份在新加坡增设数据中心以后,这才短短的过去不到3个月,现在同时新增了美国纽约和西雅图数据中心。可见Contabo加速了全球布局,目前可选的数据中心包括:德国本土、美国东部(纽约)、美国西部(西雅图)、美国中部(圣路易斯)和亚洲的新加坡数据中心。为了庆祝美国独立日和新增数据中心,自7月4日开始,购买美国地区的VPS、VDS和独立服务器均免设置费。Contabo是德国的老牌服务商,...
ZJI怎么样?ZJI是一家成立于2011年的商家,原名维翔主机,主要从事独立服务器产品销售,目前主打中国香港、日本、美国独立服务器产品,是一个稳定、靠谱的老牌商家。详情如下:月付/年付优惠码:zji??下物理服务器/VDS/虚拟主机空间订单八折终身优惠(长期有效)一、ZJI官网点击直达香港葵湾特惠B型 CPU:E5-2650L核心:6核12线程内存:16GB硬盘:480GB SSD带宽:5Mbps...
快云科技: 12.12特惠推出全场VPS 7折购 续费同价 年付仅不到五折公司介绍:快云科技是成立于2020年的新进主机商,持有IDC/ICP等证件资质齐全主营产品有:香港弹性云服务器,美国vps和日本vps,香港物理机,国内高防物理机以及美国日本高防物理机产品特色:全配置均20M带宽,架构采用KVM虚拟化技术,全盘SSD硬盘,RAID10阵列, 国内回程三网CN2 GIA,平均延迟50ms以下。...
fontawesome为你推荐
支持ipad支持ipad重庆宽带测速重庆云阳电信宽带测速网址谁知道,帮个忙?iphone连不上wifi苹果手机为什么突然连不上家里的wifi?phpechophp echo函数 是什么意思google图片搜索如何用google搜索空间照片联通iphone4联通iphone4合约csshack针对IE6的CSS HACK是什么?micromediaMacromedia翻译成中文是什么?迅雷下载速度迅雷下载速度真是太慢了
高防服务器租用 个人域名备案 罗马假日广场 dreamhost linode 免费主机 美国主机论坛 香港机房托管 unsplash 贵州电信宽带测速 免费ddos防火墙 彩虹ip java虚拟主机 个人域名 工作站服务器 ftp免费空间 最漂亮的qq空间 服务器防火墙 香港ip winserver2008 更多