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Data X:
10666.71 9978.53 8526.63 10124.63 10673.38 10827.81 12377.62 13406.97 10682.74 9923.81 8474.21 10540.05 10539.51 10872.48 12512.89 12538.12 10777.22 9892.56 7916.13 10601.61 10723.78 10971.19 12631.48 12419.57 10052.6 10500.98 7977.64 10323.73 10682.06 11145.65 12268.53 12193.88 10213.97 10179.35 8334.59 10418.4 10283.19 11234.68 12754.8 12656.63 10546.82 10080.48 8623.36 10092.96 10377.18 11333.88 13407.75 12812.48 10767.2 9492.44 9098.03 10364.91 10486.64 10997.97 13480.21 12056.67 10444.5 8616.49 9154.34 10152.09 10545.38 11036.89 13673.28 11322.38 10314.68 8685.4 9284.73 10032.8 10554.27 11257.35 13239.71 11530.75 9042.56 8160.67 9492.49 10204.59 10532.54 11533.59 13557.69 11114.08 9220.75 8048.1 9682.35 10001.6 10324.31 11963.12 13901.28 9181.73 9721.84 8641.21 9762.12 10411.75 10695.25 12185.15 13200.58 8614.55
Names of X columns:
Jaar1 jaar2 jaar3 jaar4 jaar5 Jaar6 Jaar7 jaar8
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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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