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Data X:
100 100 100 100 100 100.2738004 104.011209 98.53703704 100 97.74002424 107.3498799 95.08333333 100 93.72278828 105.0360288 94.34259259 100 89.72126218 104.1953563 91.44444444 100 87.43435522 105.692554 94.11111111 100 107.2955474 103.5868695 91.72222222 100 100.0869653 101.6333066 92.62037037 100 96.55617398 97.39791833 97.81481481 100 104.2826204 96.37309848 94.63888889 100 91.2187486 98.41473179 93.07407407 100 84.9544414 98.1265012 97.33333333 100 107.7365456 96.19695757 97.89814815 100 99.56966201 94.36349079 100.1944444 110.5 107.1081512 94.92393915 94.13888889 112.5 101.2180753 96.90152122 100.9351852 112.5 98.27359846 95.58046437 100.8888889 122.5 99.59939854 96.23698959 101.2407407 125 118.2301719 98.24659728 102.3981481 125 96.33511378 102.2417934 97.34259259 132 109.0685174 101.2810248 95.09259259 137.5 111.065353 101.5532426 96.28703704 146.5 98.60687194 102.570056 99.44444444 150 90.69863997 101.897518 95.02777778 158.5 109.2093451 100.968775 91.50925926 162.5 111.8323309 103.1305044 94.48148148 169.5 111.9956012 105.7886309 94.4537037 175 97.30800305 104.0752602 96.44444444 175 106.1773419 104.6757406 97.75 182.5 104.2130482 106.0208167 94.12962963 187.5 119.7910588 108.2145717 93.2037037 187.5 104.3280668 108.1745396 93.67592593 195 111.2712644 107.4379504 92.34259259 200 116.9509403 109.8158527 95.92592593 200 110.1945779 109.0632506 93.82407407 200 99.50738363 111.2570056 98.76851852 200 111.1674671 113.9071257 100.7685185 200 124.3323309 117.5660528 99.94444444 200 115.9404596 116.6533227 103.8148148 200 100.304098 117.8382706 104.0925926 200 117.2993626 118.0784628 106.3240741 200 118.7446699 124.3154524 102.8333333 200 119.9245927 126.1008807 102.0277778 200 128.7776606 124.5556445 99.69444444 200 119.7512231 124.5236189 97.93518519 209 134.0909601 126.2610088 100.5462963 212.5 125.6390547 119.8959167 97.91666667 212.5 102.5298487 115.0440352 98.88888889 198.5 127.8485345 106.6613291 101.1666667 171 125.2384533 101.93755 109.0833333 137.5 100.1066026 107.6781425 104.0833333 115.5 91.86621931 105.9967974 114.3240741 100 89.39921002 102.3618895 117.5833333 83 92.27355357 104.4835869 113.0925926 65.5 99.47147538 105.6044836 111.7222222 54.5 93.37829346 109.2874299 111.8981481 50 90.87425378 112.2177742 110.1296296 50 102.4064141 112.7942354 109.1944444 50 98.58162395 114.2353883 144.1388889 50 88.85497554 116.5892714 149.3981481
Names of X columns:
Rente Wisselkoers Reserves Uitvoer
Sample Range:
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grey
grey
white
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Omit all rows with missing values?
no
yes
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Label x-axis:
R Code
z <- as.data.frame(t(y)) bitmap(file='test1.png') (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1)) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) for (j in 1:5) { a<-table.element(a,r$stats[j,i]) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Boxplot Notches',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower bound',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper bound',1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) a<-table.element(a,r$conf[1,i]) a<-table.element(a,r$stats[3,i]) a<-table.element(a,r$conf[2,i]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable1.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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