Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
2.27878 -2.43865 1.01911 1.17429 -4.54167 -4.03695 -1.03567 2.9517 0.80204 -0.837639 -4.47299 -0.673222 -6.24955 -0.222041 -0.842843 -2.23695 -0.355717 -0.67778 -2.03441 -2.47848 -1.24568 -4.53594 0.950453 -0.88427 2.56197 -0.0880259 -2.25486 1.70146 1.78015 -0.726582 0.149253 -3.19132 -0.534637 -4.64911 -2.11522 -3.92337 -1.44429 -1.66301 -0.58718 0.187236 -2.57035 -1.58774 -4.72078 -1.42338 1.6146 -0.519972 0.90107 -1.19494 -0.421266 -4.10355 3.02783 0.89771 -0.545044 -4.68677 -1.04336 0.860812 0.631278 -1.95189 -5.27645 3.04536 -1.1757 1.91598 -2.02699 1.15179 -3.46775 3.13959 -1.00419 -1.60542 -2.1159 0.867855 2.16997 0.968735 -0.739383 0.462632 -1.99779 2.48991 -4.28261 0.553669 0.367079 1.37026 0.139563 -1.93379 -3.74217 -0.835695 2.80752 -1.20875 -4.56487 -1.29144 0.165984 0.0545751 -0.636713 -2.07835 2.71022 2.05601 -5.05084 -0.475207 -2.73348 -4.05602 -1.04742 -3.14493 0.394693 2.56433 -3.67797 -0.357122 -0.994008 -1.77291 -1.71668 2.43346 -2.1173 2.1549 -4.99022 -4.07447 -1.22453 0.710628 0.815685 -4.41132 0.93485 2.01451 2.34409 0.464308 2.22939 -3.26068 2.75125 -2.02032 3.30499 0.149275 3.79794 -3.44131 -0.744276 0.667127 -3.46653 1.914 1.60139 1.50836 -1.26558 1.52186 0.0717225 0.842287 -1.57718 3.32145 -3.94641 0.187115 -1.35496 0.535289 3.40553 -0.128224 0.829029 1.53358 0.864294 1.90462 -0.576156 -0.505801 0.475416 -3.60682 1.22662 -5.0929 1.7122 1.50747 0.0389016 2.62539 0.51466 2.28382 1.78913 -1.43264 -0.0932147 4.48913 -0.866257 1.70307 4.02764 3.82879 1.45455 1.63885 3.72291 -0.382151 -2.18125 0.378994 3.69185 1.25213 -0.235385 -0.235385 2.94542 -0.642367 1.86502 1.13091 -3.3044 -0.907048 0.56014 1.54351 0.187515 -1.79305 1.28892 4.23108 -0.214014 1.93337 0.0374179 0.756772 2.46073 -1.33615 3.16083 2.01898 0.913682 -2.89103 0.0111026 3.62291 1.987 2.042 1.98216 -0.124265 0.402593 -0.591543 3.59821 -2.56271 2.92182 0.843685 1.22904 1.45914 2.58379 1.61571 -2.58824 -1.43181 -0.49251 -1.02239 2.23121 1.35358 2.56876 1.27987 0.228299 0.55086 -3.03383 0.976561 1.35435 2.68299 2.52611 1.67317 3.89407 2.59098 2.2305 3.23353 1.60202 1.85316 -1.27359 -1.0002 -5.16748 1.21575 -3.13956 -1.39788 -0.423432 -1.46249 -3.244 2.63642 3.82879 3.10225 0.898857 0.239049 0.794247 -0.206259 -0.605549 -1.17034 -2.02746 -2.34408 1.55487 1.92777 -1.16585 1.7781 -1.83026 -5.98172 0.813998 -4.7296 1.45455 1.7155 -1.4597 2.63642 1.65632 0.79325 1.66331 1.80595 3.79405 1.44069 4.21719 0.644125 0.921526 1.08211 1.90783 1.65331 1.759 -0.604929
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