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Data:
4.43442518300412 -5.50151917638389 -3.90674320378419 -0.819172504689881 2.30913038553472 4.52760707381119 -0.926556486601051 1.36423248589403 0.312548367355541 3.64398777743394 0.751068549251842 3.15509074913464 2.66363053308489 -3.02634516470915 -2.10570355809774 1.94611545003507 0.327897878002472 1.97142561443104 -2.24681017006737 -3.03936885631834 -2.61070579737537 1.99340962062693 0.548234083049317 3.88061268241684 6.79856295358202 0.40978432394396 -2.11466387268444 -1.48816148544858 0.069688964361767 -1.7372812841912 -6.25770877216134 3.30112650080194 -1.91909683122493 1.18000711004015 -0.497020047314041 -3.15464261971877 2.09755557460965 -5.35601222256605 0.197640614695444 2.38510336440981 0.115088672252581 2.6790557817774 1.05151123034981 5.5991322988998 3.67262732857803 2.1442846557125 -1.73724118371722 -0.354547200927063 4.50057258699137 -4.06051523667946 -1.06341376287508 -0.815486449425699 -1.84168349967764 -0.779653004917226 2.59111117360222 4.09128840452677 -5.99766635642592 1.72681225622256 0.0991326259337744 -1.62547478702608 3.21724326987241 -0.726798606926724 -3.57860147410466 0.138029108302394 -0.83865751228968 0.7946168279797 -3.20891775119332 3.47375014071204 -0.811964336260284 3.95031687141834 -4.64351991189223 -2.8875836121189 0.3433824675106 1.49818742713801 5.09764358939596 1.18411355303622 0.249083713970544 -4.87626280664561 4.42676576382824 -2.58814611852201 -0.653924387985574 -0.990518494534702 2.71509764725882 -2.70153035206233 -1.08721403060089 1.72886457319179 -1.83664529579443 -5.01372280975709 -0.442796945190804 -3.72892169666511 2.07640538541409 -2.17147801872688 -0.415239162928223 -3.54466745757366 3.07883361124103 2.22259030174091 0.701798453804283 1.96597817555017 -3.24584993137902 2.54749762305955 1.94345859717079 -0.832854455117698 -0.535982644832303 -3.54200995064143 7.3303828645818 2.36034666683008 4.59755590164363 1.01552489684958 6.7762814304188 -4.8191121981515 -2.95776468655622 -5.60325776467202 -1.55241985535992 2.98294618370408 2.12848446388504 -2.95422333304917 -2.68776342612936 -1.42858627069508 2.60858577376436 -1.76844557483795 -1.30900279127912 2.4047098284212 0.921951665677608 -0.465257341038315 -3.06881929222437 4.57018476310525 6.80737856641159 -2.89382857636054 1.65083927734747 -2.76664855364967 -3.78776407099639 3.48692892797994 -5.28488692123398 1.44280201109502 -0.88967783861971 -1.74374136995826 -0.907170835788654 -3.49937188102744 0.829769344479594 -1.90385010621372 -3.52021893391128 -4.96312895898952 -5.07746781332617 -0.389641874014135 7.42587164028953 -1.14534030929056 1.68453789250711 -1.77172685800686 1.91168530772661 2.67441091803594 6.8710805040071 -2.79405532975965 -2.22101684168575 0.781648668351698 0.837513158874232 2.07640538541409 -3.60976279925182 -2.89382857636054 -0.367553651971452 -2.08953984963863 -0.874370153002162
R Code
library(moments) agostino <- agostino.test(x) anscombe <- anscombe.test(x) geary <- geary(x) jarque <- jarque.test(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Skewness and Kurtosis Test',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('agostino'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('anscombe'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('jarque'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('geary'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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