Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
-0.367681379438821 -0.982675009189625 0.461736608601953 0.110356411079305 0.880634789664286 -1.07901770299319 0.337846366617654 0.184613685444644 -0.0430196748710048 0.189589157767651 -0.418082477116686 0.22435094075853 0.216305573725047 0.866760066480486 -0.526703095019694 0.0519699174109175 0.748117871384502 -0.440929613539182 -0.925103870307775 1.18047894159078 -0.785827338364776 -0.156844550514545 -1.24191497242136 -0.495867561970204 0.689933148531823 0.516216770873805 -0.928476494527545 0.291241821734151 0.659631192747841 -0.420599221090862 0.993452492995499 0.162912536723515 -0.253212225051164 1.19082741415112 -0.567827945744613 -0.659024359899766 0.605200077378839 0.553686449743648 -0.146391366701988 0.489906855253442 -0.324235440280127 0.768209460213393 -0.343280439317291 -0.0233158831921649 0.756518114115643 -0.260146793967426 -0.260289552872651 -1.13286870970289 0.240110749680005 -0.314985280818227 -0.982429808218041 1.38012771419973 -0.603185220487887 -0.822445965049552 -0.0776807957741802 -0.382605670492436 0.258203029311264 -0.484677918052572 0.209848373151658 -0.403320794382607 -0.206011894972138 0.483970145640074 -0.608411443281677 -0.181611088327216 -1.02200329644411 0.0289681615353665 0.575132969190122 0.0942326147649756 0.16319213242849 -0.141195911041553 0.134879567297117 -0.229235744202593 0.113634688208385 -0.659720932900383 0.253005624183915 -1.29949625043305 -0.368029536865243 -0.899250915344137 -0.0935062622839783 0.525983172189495 0.123764152506956 0.173331337686216 -0.116142639540536 0.0429616199740723 0.974725687992026 -0.0998408222418784 -0.373420971053539 -0.0513423584743284 0.618624333103423 -0.202743475700424 -0.106066888728605 0.050993671696758 0.512974127796198 0.636076957367032 0.909308594134588 -0.288224110365441 1.26018767535973 0.0989901456170693 0.625669186510962 0.663258075147877 0.169395750032654 0.304016993564586 0.475940619339492 0.164279570770573 -1.01212241149792 -0.445428746856158 0.242513967897837 0.682090871801901 -1.0541038989507 0.718194394518511 -0.138400469490861 -0.167354283199731 1.2105244181081 -0.61188009658105 0.244073210629982 -0.458518224836547 1.36918056832878 0.382349308902754 -0.698731806837338 -0.0433369581532566 -1.02870029945265 -0.367111255017468 0.290762605255111 -0.221347642743516 0.0530768398164975 -0.97916866585148 0.92407202680997 -0.708946346928565 0.742011532761892 -0.635176056508554 -0.0626384528334733 0.897229601246957 -0.224308349624217 -1.09161366055888 0.288248530039123 0.0418840177769849 0.106839948939349 0.646350716291337 0.92751213629459 -0.323006758185988 -1.030892748043 0.220783671594843 -0.280273666660781
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation