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Data:
-0.000830617620107625 -0.00215633057428686 -0.000706244882206859 0.00102020878210906 0.000764426521466084 -0.00345196666618201 -0.00329599997485681 -0.00127267039575339 -0.00198417093641112 0.000729880642623945 0.00139729594490215 -0.00406514953778844 -0.00477833461275536 0.00123065940844671 -0.00329965773861037 0.00126497173839542 -0.0071105472974514 0.00417084736291977 0.00285443701522524 -0.000134541240514516 0.000858808328776991 -0.00193702000838834 -0.00417982368511263 0.00180551763459019 -0.000902574518603465 -0.000255455612840433 0.00537456230281754 0.00214190773492689 -0.000773784716677788 -0.00370567709714013 0.00255794600695088 -0.0021500773093895 0.00201109003622227 -0.00242879902980386 -0.00363407458522692 0.00192862086391206 0.000705141302360091 0.00355898159260868 -0.00196251724837391 -0.00440031401209702 -5.76678602373187e-05 0.00416207480989446 0.0019294860225767 0.000586995264701303 0.00227315213511316 0.000168463173110253 0.00193779565879601 0.00336827433130919 0.00128949480918605 0.0079767977034093 -0.000920561863470024 -0.000741423637043361 -0.00175543201487028 -0.00211569350590938 -0.003160131056812 0.00134836623003363 0.000195483722268704 -0.000580322600703392 -0.00120452524911056 0.000486730776181089 -0.00214286457573442 0.000234165634218817 0.00321595427591632 -0.0017002349338041 -0.000437252607550238 -0.0015891529880945 -0.00252716255953775 0.0015848687136293 -0.00105298664221877 -0.000854640840755824 0.000257523599584299 -0.0013681625644001 9.4482630059549e-05 4.30853663111821e-05 0.00201498309173379 0.000480400428116253 -0.000415754823679654 -0.000928955582156725 0.0012941628563945 0.000480071749763551 0.00024663305764561 0.00100942513960082 -0.00105746977971336 0.00126383069459763 0.00065523632817774 0.00108072239826359 0.000484849962062908 0.000428132036673188 -0.000194798899360412 -0.001021112362377 0.000922341118335981 -0.000850250241738861 7.38183579917215e-06 0.000467752418725854 -0.000702300712682152 0.00228831624017348 0.00194281056162189 0.0023882416541451 0.00334860299320722 0.00252999331932085 -0.000140278454233383 -0.000605422070539772 -0.000408474504001894 -0.00218309900773915 0.00292264804953198 -0.000447271450311082 -1.01773747930103e-05 0.00282340982480992 -0.00133260141895537 -0.000353986455570931 -0.000587384040042734 -0.000818376545925156 -0.00191296935243291 0.00196693357398693 -0.000547921905031445 -0.00111634191468684 0.00035288573386066 -0.000716674502191736 -0.00193404751739713 -0.000688399862393415 0.000274488715601971 0.000477071553064409 0.00502634048677123 -0.00379200681772633 -0.000618998308569335 0.00202215720455891 -0.000715174391484076 0.00150629051823606 0.000304808113059942 -0.00204458739786233 0.000794388188970406 0.00087955328059817
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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