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Data:
0.00599999294549127 -3.26059140944666 -1.8554939521073 2.40244281738836 2.34887668231647 0.17284778816687 -1.74126072821457 1.15384328081017 -2.96147899874101 1.22798959209503 1.6146723771924 -0.99043281341636 -2.77286339444579 2.80974825568738 3.14858955292989 0.860015402371987 -0.257501303982202 2.84395640822426 -0.666254517138174 -1.07896935443631 -1.61990821991661 0.155994051941703 0.109878583294601 1.33925178884253 -1.76540588247557 -3.6789782609636 1.2136306869203 2.16831659053481 0.453278545446261 1.49984415197301 0.936320781914437 -3.14799137531513 1.64687579170979 0.533370855588986 -3.21203924491963 0.925986234819627 2.04347386260564 1.99707038202554 -0.236845142468601 3.32009190965822 2.02600625822672 -1.8259583023544 3.36634993038388 -1.88980767269334 0.760686354372059 1.78970304663664 1.27297760305077 0.383230853544645 -3.93332496634845 -4.68696292542965 0.652102030014784 -0.115044679339133 1.55214813958812 -4.42861679473664 0.0369522856692091 -2.45752058376992 -1.6020587912405 1.42753730336211 3.24027024673501 -3.19401513278169 0.843020581981803 -0.874921822538259 -1.09949010664114 3.56170950857324 0.817364165480193 -3.60807829555329 3.17223529346543 3.90729636413159 3.55562497341894 1.25537054951782 2.01943215744464 0.904020761868422 2.81329308514613 -2.26839057985858 -0.280773047695575 1.60618774436929 -1.04190976466101 2.65024639666727 0.659424915352483 0.0143987230550572 1.07205574047221 -0.036343497810658 -0.0559763716882332 -0.861669145212708 2.65797614274254 -4.1768879446761 1.09210911195023 -0.586174069926595 1.28154951300732 -0.780197074513844 1.81637338046044 -1.32922490136355 1.74945509220759 1.225572476038 1.31615820072285 1.30773803962177 -0.190476730598592 2.01689549640786 0.445890939667268 1.60471323743042 -1.51180985465013 0.347252916245613 -0.0578887740173354 -1.08494639573777 -0.406092735075476 -0.374934141665445 1.3525843257869 -1.82780562290739 -0.714092170709986 2.07039989630083 -3.99349472615825 -0.807770436809484 -0.54905746486024 0.931501743008275 -2.9305514621219 1.35385757503652 2.56033189914214 0.261733049718136 -2.14049096739386 -2.20389791055754 1.45087519904059 1.10382063987062 0.0649337919569947 0.253016276506387 -1.50700522536091 1.2386554948702 1.93113735587968 -0.589220632044815 -0.791845596881462 -0.633821310997437 2.34933294471603 2.00198605609999 -0.429603095705463 -2.78611067565432 -2.40339007752651 -5.64689986509276 -1.56842131972011 -0.490338797954969 -1.05130086316824 1.87801379646207 0.375337615326516 1.59310220184278 -0.634567964768352 -1.05259123717013 -2.12807273200918 2.78560818930159 -1.07219932750369 -2.72405534367358 -4.23556266754683 1.32505901208147 -0.680727276469549 2.30887032670966 1.8558940305688 3.22771901085703 0.368814840420639 -0.137789887146892 1.70490440595534
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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