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Data X:
100 100 100 100 108.5365854 108.8888889 105.4082715 95.65217391 135.9756098 129.4444444 122.6935313 100 139.0243902 131.6666667 123.8600212 108.6956522 111.5853659 112.7777778 105.8324496 114.4927536 136.5853659 126.6666667 101.8027572 111.5942029 145.7317073 135 122.9056204 94.20289855 129.8780488 119.4444444 115.6945917 88.4057971 140.2439024 130.5555556 124.3902439 92.75362319 130.4878049 123.3333333 116.4369035 98.55072464 129.2682927 116.1111111 119.6182397 102.8985507 127.4390244 123.3333333 117.3913043 105.7971014 109.1463415 108.3333333 106.0445387 104.3478261 126.2195122 117.2222222 120.1484624 101.4492754 135.3658537 122.2222222 129.7985154 101.4492754 120.7317073 106.6666667 119.300106 101.4492754 107.9268293 98.88888889 110.4984093 105.7971014 119.5121951 106.6666667 98.0911983 108.6956522 126.8292683 110.5555556 124.2841994 104.3478261 120.7317073 108.8888889 115.9066808 111.5942029 113.4146341 100.5555556 112.5132556 115.942029 128.0487805 113.3333333 125.980912 114.4927536 113.4146341 100.5555556 111.6648993 115.942029 115.2439024 103.3333333 112.407211 115.942029 105.4878049 97.77777778 108.1654295 114.4927536 121.9512195 107.7777778 119.7242842 114.4927536 121.3414634 107.2222222 123.5418876 127.5362319 118.902439 103.3333333 121.7391304 117.3913043 98.7804878 93.88888889 106.5747614 117.3913043 107.3170732 91.11111111 90.56203606 118.8405797 120.7317073 105.5555556 91.83457052 115.942029 118.2926829 103.8888889 116.542948 120.2898551 104.8780488 95 106.7868505 123.1884058 128.6585366 119.4444444 122.4814422 124.6376812 108.5365854 98.88888889 106.7868505 126.0869565 106.7073171 100.5555556 104.9840933 126.0869565 109.7560976 105.5555556 108.4835631 123.1884058 116.4634146 105 115.3764581 121.7391304 107.9268293 93.33333333 112.3011665 123.1884058 117.0731707 100.5555556 120.0424178 126.0869565 92.07317073 87.22222222 101.4846235 126.0869565 99.3902439 83.88888889 85.79003181 124.6376812 113.4146341 101.6666667 120.7847296 114.4927536 104.8780488 91.66666667 104.0296925 117.3913043 108.5365854 93.88888889 109.0137858 118.8405797 116.4634146 102.2222222 111.028632 123.1884058 101.2195122 91.11111111 101.6967126 124.6376812 97.56097561 87.22222222 100.3181336 123.1884058 101.8292683 93.88888889 107.7412513 120.2898551 106.097561 92.22222222 110.1802757 118.8405797 109.1463415 92.77777778 116.9671262 126.0869565 108.5365854 92.22222222 120.9968187 134.7826087 84.75609756 80 102.6511135 134.7826087 96.95121951 80.55555556 92.68292683 127.5362319 109.1463415 97.22222222 118.1336161 107.2463768 93.90243902 79.44444444 103.2873807 104.3478261 100 85.55555556 109.1198303 108.6956522 109.1463415 95.55555556 119.5121951 120.2898551 93.29268293 81.11111111 102.8632025 127.5362319 89.02439024 78.88888889 100.8483563 128.9855072 90.85365854 82.77777778 102.757158 124.6376812 91.46341463 78.33333333 104.5599152 121.7391304 101.8292683 86.66666667 118.4517497 121.7391304 99.3902439 81.11111111 116.4369035 121.7391304 71.34146341 66.11111111 95.3340403 121.7391304 92.07317073 75 92.68292683 120.2898551 94.51219512 78.88888889 110.8165429 110.1449275 91.46341463 76.11111111 104.0296925 110.1449275 93.90243902 80 108.9077413 114.4927536 97.56097561 85 111.7709438 115.942029 89.63414634 79.44444444 102.8632025 118.8405797 90.24390244 80.55555556 103.2873807 120.2898551
Names of X columns:
Import Export Industriele_productie Werkloosheid
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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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Big Analytics Cloud Computing Center
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