Data Analysis Using the R Project for Statistical Computing - NERSC

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Packages,datavisualiza8onandexamplesR‐PROGRAMMING3
Page 1: DataAnalysisusingtheRProjectforSta8
Page 5 and 6: 1.WhytouseR?• Open‐source,mul8p
Page 7 and 8: 2.1.YouRwithNERSC • Getstartedwit
Page 9 and 10: 4.Sta8s8calanalysisandgraphs• His
Page 11 and 12: 4.2.Condi8onalplots• Checktherela
Page 13 and 14: 5.ProfilingVariable numberof argume
Page 15 and 16: 1.Sta8s8calanalysis• Sta8s8calmod
Page 17 and 18: 2.1.Linearregressiondata=read.table
Page 19 and 20: 3.1.Hierarchicalclustering• Analy
Page 21 and 22: 3.3.Model‐basedclustering• Mixt
Page 23 and 24: KnowledgediscoveryinLWFAscienceviam
Page 25 and 26: B1.Selectrelevantpar8cles• Beamso
Page 27 and 28: B3.Iden8fybeamcandidates• Detec8o
Page 29 and 30: B5.Evalua8onofcompactness• Bunche
Page 31 and 32: 1.Improveperformance/reusability•
Page 33 and 34: 3.Nothingisperfect…• Limitsonin
Page 35 and 36: References• MichaelJ.Crawley.StaH

Data Analysis Using the R Project for Statistical Computing - NERSC

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