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Data:
53984.732451276 -16092.5658137701 -5009.73383605839 1544.6070070515 31182.2904461834 62831.1948061329 -5362.46982936071 -24298.0632946617 -10500.4881290252 57713.6699144507 3484.80222858211 -17395.9874838988 -3727.37542579722 10858.5695486338 15800.3847301079 -1905.35015288495 -51845.8689019528 29476.7944710018 -20674.0818172165 -22474.6192022627 -10333.9144091881 -19027.9744535268 62506.4512315737 -5684.54842374385 -582.915302856433 14833.4995673872 7603.59879333352 -49670.6236801393 81443.4643873683 14106.9429245686 17263.9222087774 10530.4169562609 3465.86825999006 74754.1976410283 3201.151011795 -9868.05933521797 58627.8287220326 -3586.84371504367 -8688.89782490609 -66270.5422929105 8940.77752009682 785.784340617823 -20366.7909578876 -6039.88909777446 -16496.8744284864 -3670.78727845698 -15664.0243830788 36320.5416010001 4150.68745386874 10869.8871856551 -7727.3404177577 -11339.1820189028 48843.9089640999 49721.3311541494 -2361.20083874184 2125.93326141228 38084.4570757198 -23495.6035995479 -33336.9911607828 47806.5974625969 -19152.3759527607 -14722.7309061496 -8623.47752867654 -27234.4377104804 3084.9004240147 -34810.0644603933 -76127.807901631 -35017.7505150724 -37260.6690691017 -6112.75013765342 57758.8301273372 -448.219748134624 -32424.5415789561 13272.408470746 -15822.0095508984 9248.87266342412 -21203.8419746508 -50092.1818372142 -8488.42961809539 -18299.7666113628 -34451.9364411906 87383.4581088198 -22552.7508687803 -9264.82811321667 -12515.5338913231 4579.30297039969 26320.657836369 -20846.1885233933 -4257.61573917891 -2813.99552802395 -24272.2927787596 -17114.4567554649 12469.7898100369 25913.1974673369 -21002.6145037934 10003.7096146432 -5300.83699955656 -11978.5497182651 46790.732890705 -854.620821117099 21230.2570550687 -37220.0036975667 17150.0134073003 1001.62310698401 -8924.50247735044 2065.90477912633 -36054.8090738853 16994.2467750566 -9868.05933521797 -31937.6953665182 -11657.6880614654 -14697.6382657264 -41118.157868775 -9212.26302192434 -6252.05933521797 -9868.05933521797 18581.7165679074 -35938.5774287562 32537.9290693197 -9518.95849035569 27371.7589558558 -13356.3382991414 -5696.13791580874 3094.35540468755 26278.0853493649 -11224.2565447509 -12287.256884235 11038.3149330588 3743.13650263732 46.6695489774851 -2241.05933521797 32790.8870819808 -3499.71892275147 31224.9379962879 -8311.03945614044 13830.5349297422 -9868.05933521797 13903.6172480041 10560.1187371366 -2737.05933521797 -5674.05933521797 8833.53452833549 -20931.9758982266 -7305.47937837893
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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