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Data:
1.19014 -3.84982 0.847881 0.680933 -5.18172 -4.60132 -2.72573 2.27409 1.22495 -1.35467 -6.01337 -1.43149 -8.0785 -0.931756 -1.45418 -3.41495 0.0455309 -1.83304 -2.78172 -2.60291 -1.44698 -5.31476 0.761316 -2.40202 1.77741 -0.856857 -3.97654 2.83178 2.39662 -1.05621 -0.581613 -3.4783 -1.61295 -5.38263 -3.2865 -4.72369 -1.7051 -2.56339 -1.18679 -0.0710296 -2.8525 -2.46651 -4.63475 -2.56168 1.40282 -1.65574 1.95287 -2.08758 -0.593689 -3.15832 2.86924 1.43352 -0.348852 -4.3291 -2.24118 -0.514112 -0.209718 -3.25873 -5.96673 2.18483 -1.4913 1.65679 -3.22552 0.846044 -3.05668 2.19576 -2.07576 -1.4201 -2.94841 -0.282069 1.58111 1.23677 -1.14262 0.130444 -2.36218 3.62547 -4.96321 -0.294649 -0.584309 1.36793 -1.41234 -1.3183 -3.63261 -0.0383094 2.89254 -0.844448 -5.67191 -0.602516 0.375179 0.617402 0.530914 -1.44632 2.3039 2.35356 -5.4166 -1.16186 -3.10261 -3.99298 -1.29273 -4.89959 0.424083 2.21619 -2.70361 -0.162489 -1.30943 -1.89695 -1.21804 2.5713 -1.79995 2.91367 -5.70649 -3.72952 -0.636812 0.879009 0.831957 -5.59545 0.186664 3.31856 2.742 0.872571 2.6556 -5.30161 3.56423 -2.10451 2.72164 0.716227 3.68922 -4.25252 -1.15361 1.09418 -4.27833 3.05685 1.71996 2.68297 -2.00327 1.24501 0.607389 0.173063 -2.11041 3.58207 -3.42874 0.780507 -2.03307 0.552247 5.71605 1.69094 1.38174 1.84303 1.35601 2.92628 0.670659 -0.443067 0.940152 -3.02837 1.82916 -5.26559 2.12465 2.53606 -0.543418 2.08862 0.227444 2.78434 1.0086 -2.45627 -0.644869 5.86531 -1.60823 3.18527 5.32511 5.315 0.504051 2.73913 4.61424 -0.548991 -2.61186 0.902738 4.93735 1.93309 -0.747196 -0.747196 4.2017 -0.360073 2.40747 2.51207 -4.66302 -0.333387 0.455726 1.92756 1.57871 1.0341 2.3964 5.12646 0.955596 2.31746 0.0973935 -1.07571 2.96491 -1.15377 5.04821 1.59005 0.226384 -2.2477 0.266434 3.61393 3.62592 1.68086 1.71865 0.422887 0.467121 0.573933 3.50446 -3.45657 1.66502 -0.218839 2.87541 2.45252 1.48311 2.23467 -3.2325 -2.74934 -0.829607 -0.962329 3.01998 0.768528 3.17676 -0.139798 0.0982817 1.35847 -4.77064 0.478217 4.16833 3.01572 3.44214 3.71533 2.94791 3.61805 3.93191 5.30498 2.34153 1.41291 -0.302584 -1.93173 -6.66604 1.37893 -2.34672 -1.60526 1.05489 -1.43631 -2.41972 3.33463 5.315 5.89022 -0.575618 -0.852672 1.80625 1.62074 0.95301 0.177011 -0.567039 -2.30596 0.170914 2.22606 -0.389632 1.45939 -2.19051 -7.03734 1.32801 -3.47498 0.504051 0.508727 -2.64323 3.33463 2.05762 0.512222 0.544716 4.25728 4.70219 0.731762 3.70614 1.12055 1.14767 1.34143 2.61247 1.27324 1.98508 -2.6409
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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