Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
-0.581951 -0.546531 0.422885 -0.621445 0.406862 0.380552 0.458913 -0.535348 0.389456 0.362554 0.393471 0.377804 0.438325 0.386406 -0.509989 -0.563724 -0.61385 0.41573 -0.562847 0.416426 -0.64321 0.424408 0.368316 -0.591273 0.450313 0.351365 0.482333 0.451963 -0.59084 0.392575 -0.560595 -0.601417 -0.603318 0.371675 0.425537 0.471906 0.451033 0.409194 -0.592913 0.438968 0.411307 -0.583317 0.46555 0.388666 0.474656 0.433213 0.427271 -0.564128 0.482379 0.467451 -0.568865 0.461639 0.374489 0.380435 0.40743 0.389923 0.43058 0.411662 -0.54747 0.442922 -0.600962 0.429094 0.45841 -0.601115 -0.574394 0.445617 -0.610592 0.396506 -0.57778 0.443873 0.403252 -0.577402 -0.540205 -0.518231 -0.534618 0.419092 -0.558811 0.399379 -0.535032 0.415862 -0.548296 -0.540696 0.43714 -0.576364 -0.551005 -0.551297 0.457932 -0.502927 0.448835 0.431 -0.497393 -0.587641 -0.620706 0.416101 0.408655 0.414609 -0.613892 0.429962 -0.568719 0.450855 0.449192 0.42014 0.433695 0.405872 -0.523412 0.450132 0.476773 0.418761 -0.552825 -0.547586 -0.568198 -0.55356 -0.547095 -0.548426 0.409569 0.401739 0.481785 0.453925 0.354501 -0.563202 0.433109 0.412817 -0.592804 0.426768 -0.584876 -0.639097 0.413558 0.413264 0.451909 0.425859 0.424942 0.40834 0.458398 0.454444 -0.600765 0.419271 0.404362 0.362635 0.408225 0.413749 0.471007 -0.587877 0.424463 0.394399 0.408788 0.426289 0.425434 -0.57325 -0.659244 -0.615962 0.374381 -0.528157 -0.59749 -0.645741 0.430811 -0.573436 0.426359 0.416061 -0.602671 0.443247 0.457304 0.354386 -0.572401 -0.562814 -0.527373 -0.524461 0.454096 -0.537713 0.439974 -0.576463 0.401532 -0.518373 0.458745 -0.649822 -0.649822 0.451885 -0.588343 0.424291 0.421421 0.450084 0.474809 0.476032 -0.588022 0.441579 -0.562096 -0.562142 -0.548136 0.454025 -0.525848 0.459529 -0.531806 -0.558093 -0.581973 -0.538838 0.453536 0.433561 0.411377 0.432633 -0.499541 -0.538339 0.371662 -0.541933 -0.577661 -0.594548 -0.592234 0.476175 0.418194 -0.522771 -0.513766 0.475599 -0.527366 0.413033 0.435773 0.341715 -0.606073 0.416538 0.463876 0.372381 -0.528426 -0.575883 -0.58342 0.374646 0.424669 -0.576225 0.395378 0.487807 -0.672106 -0.537525 -0.581208 0.401122 0.449699 -0.553127 -0.5696 -0.616013 0.372215 0.411931 -0.519552 -0.583982 -0.567529 0.431886 0.379322 0.403794 0.455627 -0.527373 0.433031 0.430295 0.381395 -0.571977 -0.601005 0.399114 -0.604648 0.414586 0.416594 0.462667 -0.598748 0.44892 -0.560833 0.353394 0.472256 -0.572539 0.475539 -0.537472 0.432184 -0.544373 0.428871 -0.557225 -0.590398 0.460136 0.44924 -0.541622 0.483739 0.491431 -0.55204 0.424641 -0.54399 -0.576646 0.441912 0.493562 NA 0.918909 0.122635 0.198981 0.277522 0.375351 0.371978 0.439885 0.532413 0.568245 0.493892 0.500283 0.466193 0.464022 0.411641 0.410871 0.477738 0.432973 0.457244 0.517287 0.53834 0.540176 0.557538 0.60433 0.589396 0.475105 0.466699 0.47886 0.477698 0.482301 0.516475 0.549747 0.55959 0.603958 0.538562 0.485258 0.511295 0.541729 0.539454 0.571269 0.593507 0.614195 0.62494 0.642235 0.605898 0.622604 0.66034 0.694477 0.721893 0.753426 0.761733 0.783021 0.769346 0.788902 0.776832 0.790332 0.787839 0.722283 0.715482 0.717872 0.702971 0.719333 0.689207 0.699197 0.706506 0.687785 0.66066 0.648532 0.604378 0.624715 0.610979 0.638686 0.630354 0.625962 0.630249 0.624353 0.635091 0.647291 0.653425 0.651683 0.640176 0.64536 0.625398 0.634803 0.629496 0.620285 0.598495 0.621675 0.639777 0.642797 0.618197 0.633717 0.57965 0.567398 0.578127 0.592062 0.592858 0.595972 0.582826 0.577366 0.580277 0.581667 0.574786 0.575573 0.568162 0.563309 0.566363 0.546482 0.567514 0.589038 0.600778 0.609985 0.63017 0.607089 0.619128 0.638235 0.591979 0.61061 0.591007 0.558647 0.574632 0.587207 0.597651 0.609587 0.621877 0.634073 0.643754 0.653546 0.632291 0.645615 0.662393 0.682458 0.696796 0.710272 0.719807 0.702788 0.709485 0.724672 0.734656 0.743373 0.750048 0.735419 0.692358 0.668093 0.678898 0.67066 0.652789 0.629827 0.642159 0.628926 0.634869 0.644661 0.630246 0.636351 0.639286 0.660683 0.653104 0.628775 0.626915 0.624531 0.63084 0.627747 0.636507 0.625603 0.636583 0.63442 0.633986 0.615714 0.594991 0.598397 0.590605 0.599183 0.601115 0.611388 0.612102 0.608156 0.599958 0.605283 0.606707 0.601559 0.597676 0.595897 0.603648 0.60952 0.608414 0.6039 0.589223 0.587309 0.594475 0.606654 0.610305 0.619413 0.624255 0.623318 0.624405 0.613918 0.614788 0.602049 0.594299 0.601354 0.619225 0.609738 0.601954 0.609593 0.601652 0.60346 0.611299 0.640323 0.63695 0.646934 0.653639 0.655143 0.639904 0.633591 0.631824 0.655156 0.661619 0.655286 0.656312 0.675328 0.65129 0.644293 0.623087 0.640404 0.620793 0.620814 0.598201 0.611562 0.635376 0.641273 0.610876 0.620667 0.579864 0.597202 0.618245 0.647778 0.657706 0.633292 0.621589 0.65011 0.657553 0.669422 0.647272 0.648247 0.678697 0.684389 0.697569 0.72672 0.695005 0.728592 0.757839 0.60869 0.659541 0.714614 0.691806 0.636806 0.395747 0.403075 0.406893 0.396213 0.51054 0.505327 0.542265 0.658075 0.807137
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
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation