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Data:
-3.11760101149508 0.0314095423110451 2.82620869209528 3.26387265584104 -1.45263709744899 -1.88348932266714 3.93863868429912 -1.59441138999828 -1.88329862900193 2.56646109614508 0.801769699893772 -0.196710790688073 0.636573305652221 0.692451451614239 -0.353645489751352 -0.0219820117331483 0.448428914340278 3.87178314070815 2.58748254820759 0.802533083030439 0.758692721056456 1.29012967077078 2.58441716838169 1.31747698733264 2.22848118596487 0.118860325165605 1.0372926466607 -1.04284071207008 0.559138014281356 0.0390243334045331 -0.594186433383495 -0.184903151197658 -1.11149063623154 0.569799207264144 -1.64202430275481 -5.90257345633603 -0.866817164637676 -1.77949067189796 1.77884407716565 1.41607509282467 0.954616002309845 -1.55957660718381 2.08528287184129 -0.206202869707291 -0.898546594920809 -4.59163412605 -2.42508979912194 0.0683991774524221 0.800952617186765 -2.01858608666736 -0.490631866380993 -0.111764505922894 -2.68477800765184 0.809386321558708 -2.51757108398172 1.37130487753543 -0.0923517617659263 0.916882834289958 -0.323702882863365 1.86873289872845 0.570716868083456 0.0223851483499508 -0.466440278448962 -0.370634890266963 0.564048311356834 1.09360035333709 1.89793032195701 3.32654536380641 -3.88091423781219 0.578839151225445 -3.449196578141 -0.323948285798518 1.46220553898166 0.845093066019571 0.273624586124044 3.11285623992386 -0.365942087919187 1.5488362723385 -1.84285245948429 -0.0260086189541596 0.424121948916667 3.22789371728898 0.308208809227862 -1.02477677459206 0.256431299478507 1.73171130609916 -0.223327636188002 0.662336718373708 1.41673022801113 0.787728044617952 -1.4826033949017 -0.00934603174746024 0.513187104398811 -0.285606991993591 -2.17892398401912 0.781685537460747 0.140519350734551 1.8158469109597 -0.159901087906952 -0.340573483908861 -1.3668114814765 1.18707146453032 2.58522068841896 0.410210237843217 1.43672737170409 -2.39717121644233 0.932990452643163 0.0588776925115655 1.40203554776461 -0.311586001104149 0.987859589625233 0.10292801173956 2.45174372432212 -1.99888326543019 -2.9367482002426 1.3271147856896 -1.54759871332326 0.98240207296779 -1.98791936604673 0.27493901740351 -1.33388698873322 0.304154405116597 -3.02389397058424 -1.12986310505213 -1.05943824530504 -0.865806131319397 -0.513911569999371 0.657837937398815 1.1070938222292 -3.03523672661142 1.75787926942027 -3.39549935808545 1.81702140891525 -2.00107980795329 -1.74079830137736 -0.194351716219724 0.640535211451566 0.468402482455295 -2.2551506775076 -1.45204943317969 -5.45372005985958 2.81092598360207 1.58878901071358 0.364109134913822 1.06882586947583 -4.25454724104455 1.98059128612218 -2.27529286469313 0.757020011545189 -0.116840102291911 -3.20880937956498 -1.52564528945141 1.80197704792237 3.90954420223143 1.45339800477955 -2.59446613585403 -0.00934603174746024 1.28833219642779 1.1070938222292 0.829427293903479 -0.604839934876992 0.31316350056888
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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