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Data:
3.75430541030658 0.790743469596775 0.329482609818837 0.862358861304672 0.167402433321228 0.898796920595184 -0.388791679161104 0.138221683588498 2.6885529073346 -0.909942153174475 2.31775683234638 3.50901775857672 1.56890737281215 -1.54500896692248 -3.20339364166699 0.323619721082609 -0.807751590912297 3.99373017329958 0.808332135805468 -1.96396887867368 1.85063308383221 1.04189401006255 -0.436955515924077 0.0900578468255252 -1.56832682791898 0.850633083832211 0.0841949580892943 -0.96983176740991 0.563044484075923 0.563044484075923 -1.7304070044166 -0.328902064925669 0.0900578468255252 0.790743469596776 0.0900578468255252 -1.43109262718785 -0.96983176740991 1.79074346959678 0.563044484075923 0.132358794852267 1.85063308383221 -0.149366916167789 0.808332135805468 1.6885529073346 0.281318773055867 2.56890737281215 1.03016823259009 0.281318773055867 3.74844252157003 -0.682243167653622 0.993730173299579 1.55131870660346 0.132358794852267 0.802469247069238 -1.20925653040322 1.03016823259009 1.09005784682553 -3.55087185565872 -1.20339364166699 0.0900578468255252 -0.15522980490402 -1.61649066468196 1.50315486984049 -1.20925653040322 2.79660635833301 2.55718159533969 2.79660635833301 1.04189401006255 1.27545588431964 -0.909942153174475 1.14408457232473 -1.96396887867368 -1.581447026213 -3.06029655219962 -2.54500896692248 -3.67638027891739 -3.07202232967209 0.227292047556663 0.0900578468255252 0.32948260981884 -1.95224310120122 2.07246918061683 -0.807751590912297 -1.8077515909123 0.617071209575127 0.790743469596776 -2.67051739018116 0.269592995583405 -0.328902064925669 0.563044484075923 -2.95810598993745 1.92797767032791 -1.3347649536619 -0.197530752930762 0.742579632833803 1.79660635833301 0.712004462279522 0.0301682325900904 -2.01799560417288 -0.251557478429966 2.79660635833301 2.04189401006255 0.6652350463381 0.568907372812154 -2.96983176740991 -0.622353553418187 -1.2574203671662 -0.149366916167789 0.622934098311358 0.790743469596776 -3.44281840466031 -0.149366916167789 2.09005784682553 -0.490982241423281 0.269592995583405 2.32948260981884 -0.0894773019323543 0.32948260981884 -4.43695551592408 1.26373010684717 -0.676380278917391 0.281318773055867 1.51488064731295 -0.149366916167789 0.509017758576719 0.0418940100625521 -0.568326827918983 -0.0953401906685853 2.25200432937471 -3.44868129339654 -0.730407004416595 -0.0179956041728827 0.454991033077515 0.796606358333007 -3.26914614463866 1.03016823259009 0.551318706603461 0.454991033077515 2.08419495808929 -3.29385842645671 0.850633083832211 -1.20925653040322 -1.92166793064694 -1.71868122694413 -1.7844337299158 0.287181661792097 -1.49684513015951 0.0959207355617561 -1.19753075293076 1.80246924706924 -1.19166786419453 -2.47925646395082 -0.909942153174475 -1.65306241792089 0.557181595339692 0.856495972568442 -0.48511935268705 -1.26914614463866 -0.436955515924077 -0.149366916167789 -2.49098224142328 1.55718159533969 -0.807751590912297 2.50901775857672 1.92797767032791 -1.7304070044166 -1.61062777594573 -0.568326827918983 1.74844252157003 -0.718681226944133 1.31189394361015 0.323619721082609 -0.203393641666993 -0.209256530403224 1.44912814434128 0.808332135805468 1.85649597256844 -2.14936691616779 -2.14936691616779
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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