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Data:
-0.0837744178482282 -0.511920356412996 -0.302826611499292 -0.51462742056145 -1.20265125165187 -0.421277589865898 -1.13567217729552 -0.705646349519674 -0.361027061485276 1.76253814006137 3.25809669417749 -0.355278920167739 0.991648818941044 0.848985585697655 -0.242896839596061 0.175388050261258 -0.163585781332844 -0.309176756301983 0.346886569435097 0.902715271425229 -1.11213017436548 -1.24176670647179 0.339935977867587 0.079917028375865 0.0257626370749478 -0.243813840765949 -0.000803553818037566 0.116945148810584 -0.0608955749752088 -0.302955249837876 0.754453630137068 -0.861038677624605 -0.15537181121784 -0.230674579760916 -0.0509622624320076 -0.392252503985706 -0.0990905394788674 -0.322743134459798 -0.54478132283909 0.492940917243168 -3.02069039052779 -0.0420927473056475 -0.557046108616887 -0.345214149553079 -0.138924900531401 -0.262983943774474 1.02750176929732 0.00576890010230789 -0.0886125538220584 -0.2681856533319 -1.80137490724277 -1.23332206076581 0.0206991048464136 -0.564078657514838 -1.38665297566901 -0.252798430634208 -0.589631806793107 -0.245381999639678 0.0694348016681445 -0.0459423269745703 0.27160920708755 -0.184771402855397 -0.250888511986903 -0.374092727450599 -0.292052632273492 -0.552780265469353 0.0437020754480273 0.149263885843472 -1.82270333464803 0.831141149859765 -1.22917184537349 -0.303716894055642 -0.877313410927341 -0.362013195908015 2.61551215735224 -0.351846968378373 1.01626167064003 2.84043577961886 0.0438162393345263 -0.533564083632459 -0.566178971087742 0.747316608078588 0.138536997389797 0.021880534355787 0.831034129829612 -0.181715023557888 3.73241584745601 0.605100310273404 -0.344201914626138 -0.0877881491665191 0.221747071950341 -0.00891223505282127 0.101965546429563 0.206623503466746 -0.0753303905222807 -0.0272452181033564 0.823532019068278 0.349299787413194 -0.271872037229605 0.0728802500257788 -0.434147712639313 -0.0927282593572269 -0.367088125906412 -1.89319919827331 -1.22330940906715 -0.424246999222137 0.237750461557709 -0.32504028714296 3.0715197300032 -0.1641194287742 -0.318130524570163 -0.120501604740896 -0.156429776252911 -0.788117467985471 -0.688728245473462 0.310763732340788 -0.746214996703389 1.7522928432495 -0.415778212408579 1.71948702244062 -0.257193855225489 1.38957766125726 -0.0257489366590766 -0.295026259128803 -0.230059042901498 1.28789243218726 0.00833461968081699 0.060016201315086 0.00968520737684106 0.850086298895842 0.218049439688376 1.09716228685557 -0.455556342235927 0.952036636054416 -1.36951032789756 -0.822924718409043 1.45983685376083 -0.074257243503843 -1.54707865407784 -3.12008936675204 -0.661800381941619 -0.266627402776566 0.123302324011084 -0.942632106500755 0.0185973144822222 -0.456358333672911 4.50110704907642 -0.225866435742276 0.0574203647318389 2.86101761020927 -0.248155724020129 0.561494325009834 -1.11990899630588 2.35210752777671 1.02320033105813 -1.21405084852558 0.408484115158222 0.272469297707846 -0.184099412128681 -0.0160257686123832 -0.48104050604621 0.155139699926519
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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R Server
Big Analytics Cloud Computing Center
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