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Data X:
95.2 108 99.1 107.4 103.5 95 99 98.6 103.8 103.6 94 108 100.4 103.5 103.6 92.2 104 100.7 106.6 103.2 91 111 101.3 111 103.4 91.2 110 100.1 110.1 101.9 103.4 106 100.4 109.1 103.8 105 101 99.5 108.3 102 104.6 102 101.5 99.5 101 103.8 99 100.2 115.6 103.7 101.8 100 99.7 90.6 101.1 102.4 98 98.9 92.9 99.3 103.8 92 100.6 102 115.4 103.4 87 99.8 102.7 111.9 102 79 99.4 97.9 109 101.8 87 100.5 102.6 112.8 100.2 87 98.9 106.7 104.6 101.4 88 99.9 101.9 106.1 113.8 83 102 103.4 110.7 116 85 99.5 91.2 109.9 115.6 92 100 94.6 112.3 113 84 100.2 91.7 112.5 109.4 92 99.3 98.8 111.3 111 98 100.9 104.4 113.8 112.4 103 100.8 100.3 110.2 112.2 104 103.1 104.2 112 111 109 101.5 105.7 115.2 108.8 107 101.3 108.7 113.1 107.4 106 100 100.2 110.8 108.6 113 101.2 104.2 117.3 118.8 107 103.8 101.4 117.7 122.2 114 104.2 105.4 115.5 122.6 108 103.8 105.4 115.2 122.2 104 104.4 111.5 112.8 118.8 105 101.8 104 115.8 119 109 102 103.6 119.3 118.2 109 100.6 108.4 119.4 117.8 112 99.3 107.1 113.2 116.8 118 94.3 108.2 115.4 114.6 111 101.8 109.2 115.1 113.4 99 100.2 102.6 115.3 113.8 92 103.4 108.1 113.3 124.2 92 102.9 112.8 110.8 125.8 98 100.8 108.1 113.8 125.6 87 103.5 110.4 114.8 122.4 97 99.6 102.7 111.1 119 102 104.9 108.2 112.9 119.4 105 104.7 109.3 112 118.6 111 104.4 111.2 118.5 118 110 104.2 113.5 120.1 116 109 104.7 114.3 119.6 114.8 111 104.4 108.6 118 114.6 113 107.9 121.3 120.4 114.6 114 105.9 116.1 118.2 124 120 104.8 113.1 117.5 125.2 114 105.9 113 118.6 124 120 107 117.4 119.2 117.6 122 108.6 121.2 119.9 113.2 123 106.8 121 118.9 111.4 115 110 122 118.3 112.2 123 108.9 123.1 120.3 109.8 124 108.8 120.7 120.4 106.4 124 109.1 123.5 119.4 105.2 132 108.7 125.8 119.1 102.2 126 108.7 124.3 119.3 99.8 126 109 130.5 119.4 111 122 109.2 129.2 131.4 113 120 109.7 124.6 118.6 108.4 114 108.1 128.9 116.4 105.4 116 109.4 127.8 118.8 102 100 110.1 128.6 118.2 102.8 97 107.8 132.7 116.5
Names of X columns:
werk eco ind inv cons
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Omit all rows with missing values?
no
yes
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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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