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Data:
0.5289553155589160 1.0795990914277700 2.5035691283495400 1.1968018488255600 2.2621985144496100 0.1675795984433140 1.1868194692454600 -1.2505572310752800 0.6179530298875080 -0.1003623053567360 -0.7884232948315860 -0.1656729948185870 -1.1514025373706900 0.3576140338077230 -1.5555138193455800 -5.9315173474010200 -0.5718883104944550 -1.8289659321642400 1.6915435314417800 1.4143322013433900 0.9382373601462850 -1.5271938787825900 1.8627369128986900 -0.1244126364061990 -0.8710066155562950 -4.4933771056537100 -2.6758735959078000 0.0131765787043652 0.9941346811033210 -1.9993260746890600 -0.6442899318664780 -0.0579091853624841 -2.5734388856631400 0.3707202670163830 -2.2158279027379200 1.5109995663081100 -0.0848336501057932 0.7367822704482010 -0.2037450261959020 1.9577792436340700 0.8111408656420470 0.1504403547423030 -0.4081239160177930 -0.3315420802973550 0.5124252623433140 1.0979350485424000 1.8350815136645400 3.4855294724894800 -3.8036983178067500 0.6086367540727820 -3.4356465732072100 -0.3045161962129770 1.5005292577557100 0.9179464811836530 0.3106808823144350 3.3352360576780300 -0.3948552598343450 1.5391321862306900 -1.8972308964944900 -0.0734340277607383 0.5344695088869730 4.1591382792064800 0.2103721536029200 -0.9318914872740260 0.2755389674984050 1.8079670001398200 -0.0009399937043473 0.6788235175907520 1.4176696415906200 0.9791297322198050 -1.4659920694421600 -0.0467263021787771 0.6454152453327600 -0.1513400589162510 -2.1175645148208300 1.0028001883982800 0.1943031245665970 2.0239253921543800 -0.0579234968137048 -0.2484618653646990 -1.3281275820727200 1.3427960263725200 2.5468244104264800 0.3713789001241610 1.6449810169619300 -2.1453694900908400 0.9620889473384400 0.2508198912043080 1.5773817621568400 0.0941899170956652 1.0922986031741000 0.2009441920994310 2.5165398503008200 -1.2771323268366500 -2.8509364773880700 1.3164375215603800 -1.4792823293474000 1.1648325744000600 -1.9141842200432200 0.4418656460949280 -1.1736541778858800 0.3365815674116860 -2.8746164193224200 -1.1543033457696300 -1.0767908814515100 -0.8394709523719420 -0.3974052626856010 0.8950337470234740 1.0561972107226000 -2.9071263620085300 1.9673540117145900 -3.1636475556094900 2.1361462403714400 -1.9433450129311300 -1.6453339855165200 -0.2770482712386600 0.8804528318855750 0.4459004677552830 -2.1466576650312000 -1.2774972691710100 -5.1923006180559800 2.9912290822740400 1.7988821116966100 0.3406306526371550 1.1846528212546200 -4.0215863915473000 1.9663880349396200 -2.1597746117287800 0.8534830591018050 0.1736742841637530 -2.9218993883106200 -1.2061099050721700 2.1210647272951700 4.3001640180371600 1.8224700669306400 -2.4357082686838700 0.0663078527130319 1.6062302432236000 1.1083668206726700 0.9985467185021890 -0.1643515174618420 0.4601502450410280
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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