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Data:
0.2612954 0.1199274 0.0852586 0.0787527 0.0475989 0.0184526 -0.0770353 -0.0269715 0.7787045 -0.1638537 -0.1836121 -0.3507641 0.0075108 0.4577967 0.6827424 0.0616388 0.2385877 -0.4114253 -105949972354199.0000000 -0.2648054 0.1070291 0.1360179 -0.1300411 -0.0525067 0.2999522 -0.0058877 0.5082153 -0.2545075 0.2698511 0.2406800 -0.8312265 0.5704267 -0.0304595 -0.2219388 -0.0537610 -0.1964189 0.4362073 0.1386547 -0.2652463 -0.1002003 0.4426762 -0.0596184 0.1241996 -0.7183755 0.0384192 -0.0411679 0.1062431 -0.3550513 -0.1364715 0.5158243 0.4844733 -0.0873717 -0.4396326 -0.1563765 -0.3812771 -0.1394269 0.0062911 0.1457926 0.3852481 0.0586338 -0.0986281 -0.0997382 -0.2143859 0.1338376 0.0347307 0.2394928 -0.5775264 0.0199321 -0.0806811 -0.1985152 -0.3648308 0.2686832 -0.1742388 0.0603476 -0.5146724 -0.0254469 0.9590277 -0.2079646 0.4114399 -0.2411692 0.3869621 -0.3167880 0.0850939 0.3046019 0.2917561 0.4638277 -0.0853615 0.0856066 -0.1002348 0.1039727 -0.3306544 -0.4827168 0.2309593 0.5200578 0.1699253 -0.2429273 -0.2344870 0.0681538 0.2928410 -0.4215268 -0.4898912 0.2728075 -0.0234383 0.2437270 0.1441034 0.3486934 -0.2023078 -0.1854841 -0.0074343 -0.1426377 0.1094409 0.3583702 0.2211597 -0.0477162 -0.1248808 -0.0322416 -0.3191736 0.3667243 0.4848844 -0.0208251 0.5054507 0.0186890 0.2491611 -0.0125337 0.4052350 -0.0052602 0.2340145 -0.3319049 -0.3975116 -0.1006200 -0.0256229 0.3864107 0.2341884 0.2465479 -0.4497857 -0.1213249 -0.1753105 0.3623830 0.0572417 0.3763589 -0.2915969 -0.2416817 0.0162782 -0.1418666 -0.3654466 -0.7121934 0.4687787 0.3120325 0.1293531 0.1648593 -0.4758823 0.1885553 0.1991413 0.0473497 -0.1827396 0.1509197 -0.5510143 0.6503816 0.0566364 -0.4854993 -0.0237593 0.2340704 0.4182033 0.3923773 0.4896438 0.0558385 0.1073176 0.3541497 0.3202133 0.0060837 0.5006057 0.4108391 0.1220578 0.3928809 0.0194724 -0.2749880 -0.3323001 -0.8219820 -0.6250797 0.2913434 0.3276369 0.0527862 -0.0724262 -0.4526045 -0.1601941 -0.0564278 -0.0577598 -0.0998699 -0.0713135 0.1097104 0.2555912 -0.1260099 -0.2107783 0.1316683 0.1201368 0.2432284 -0.4117344 -0.2413680 0.3052385 0.0657756 -0.1488040 0.1193887 0.1256285 0.2601406 0.2637692 0.1564489 -0.4806378 -0.3081520 0.0356640 -0.5153010 -0.3240954 -0.1485235 0.2335331 0.4658222 0.2535112 -0.2585672 104562110333126.0000000 0.2992508 0.5151253 0.1458136 -0.0456761 -0.3869198 0.0220983 0.1746298 0.0153408 -0.0583372 0.6180818 -0.3458976 0.3066144 0.1971475 -0.1520329 0.6055431 0.0256170 -0.1293628 -0.6566055 -0.1435563 0.1165143 -0.0445963 0.2245579 -0.0519041 0.4250692 -0.0426066 -0.3579304 0.5294173 0.0245672 -0.0230731 -0.0722307 0.1362568 -0.0340457 0.3554641 -0.0014537 -0.0526226 0.5779047 0.1238081 0.3384949 0.2578782 -0.3197173 -0.0369641 0.2043844 -0.0281985 -0.0628542 -0.1879158 -0.1466980 0.5546829 0.0170458 0.1233742 0.1237018 -0.1105713 -0.2544327 -0.3824815 -0.2182999 0.0448819 0.2738115 0.2553722 -0.0033340 0.0779717 0.0317364 0.0759541 0.1211982 -0.4466220 -0.1410048 -0.1257054 -0.4218211 -0.1734130 -0.1822666 0.1446557 -0.2500324 0.4277234
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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