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Data X:
100.00 100.00 100.00 100.00 108.16 211.30 99.95 99.97 114.02 333.91 102.07 101.03 102.19 187.83 102.02 101.00 110.37 254.78 102.63 101.30 96.86 121.74 102.88 101.43 94.19 113.91 103.01 101.49 99.52 140.87 104.33 102.14 94.06 142.61 105.21 102.58 97.55 173.91 104.73 102.34 78.15 121.74 104.17 102.07 81.24 113.91 103.69 101.83 92.36 115.65 104.33 102.14 96.06 155.65 105.21 102.58 114.05 256.52 105.31 102.63 110.66 217.39 105.54 102.74 104.92 230.43 106.70 103.32 90.00 171.30 106.60 103.27 95.70 155.65 105.01 102.48 86.03 133.04 104.33 102.14 84.85 140.87 104.17 102.07 100.04 169.57 103.42 101.69 80.92 183.48 102.33 101.15 74.07 173.91 101.82 100.90 77.30 176.52 103.57 101.77 97.23 176.52 103.90 101.93 90.76 306.96 104.58 102.27 100.56 247.83 105.03 102.49 92.01 171.30 105.67 102.80 99.24 140.87 105.69 102.82 105.87 171.30 105.72 102.83 90.99 153.04 105.84 102.89 93.31 184.35 105.79 102.87 91.17 236.52 105.39 102.67 77.33 177.39 105.97 102.96 91.13 164.35 106.50 103.22 85.01 208.70 107.13 103.53 83.90 211.30 109.36 104.63 104.86 403.48 109.36 104.63 110.90 328.70 108.42 104.17 95.44 261.74 107.94 103.93 111.62 254.78 108.10 104.01 108.89 277.39 108.40 104.16 96.18 282.61 110.55 105.22 101.97 357.39 111.81 105.85 99.12 284.35 112.55 106.21 86.78 183.48 111.66 105.77 118.42 186.09 111.38 105.63 118.74 179.13 113.10 106.49 106.53 175.65 115.18 107.51 134.78 317.39 121.07 110.43 104.68 375.65 123.07 111.42 105.30 277.39 123.40 111.58 139.41 313.91 122.92 111.34 103.61 203.48 122.39 111.08 99.78 199.13 123.55 111.66 103.46 240.87 124.97 112.36 120.06 238.26 124.87 112.31 96.71 258.26 123.27 111.52 107.13 335.65 121.96 110.87 105.36 302.61 122.49 111.13 111.69 373.91 125.68 112.71 132.05 570.43 126.76 113.25 126.80 382.61 126.44 113.09 154.48 307.83 125.35 112.55 141.56 435.65 126.01 112.87 109.95 306.09 127.45 113.59 127.90 250.43 130.58 115.14 133.09 350.43 133.09 116.38 120.08 426.09 133.34 116.50 117.56 477.39 132.84 116.25 143.04 437.39 133.80 116.73 159.98 334.78 136.63 118.13 128.60 305.22 138.88 119.25 149.74 571.30 140.65 120.12 126.82 523.48 143.92 121.74 140.96 426.96 149.03 124.27 137.67 360.87 149.33 124.42 117.94 267.83 152.62 126.05 122.31 254.78 161.60 130.49 127.78 357.39 162.66 131.02 136.17 348.70 166.13 132.73 116.24 259.13 165.98 132.66 123.16 290.43 165.47 132.41 116.34 329.57 166.94 133.13 108.61 304.35 167.49 133.41 125.90 566.96 169.29 134.30 112.80 409.57 170.28 134.79 107.52 345.22 171.59 135.44 135.10 445.22 171.36 135.32 115.51 315.65 171.64 135.46 115.86 270.43 170.10 134.70 104.59 306.09 168.30 133.81 163.72 326.96 168.96 134.13 113.45 313.04 170.02 134.66 98.04 300.00 167.59 133.46 116.79 360.00 172.60 135.94 126.53 334.78 175.08 137.17 113.03 384.35 177.76 138.49 124.34 531.30 182.49 140.83 109.83 325.22 185.48 142.31 124.44 399.13 189.15 144.13 111.50 365.22 186.59 142.86 102.04 216.52 184.49 141.82 116.87 333.91 178.62 138.92 112.21 348.70 170.58 134.94 101.15 180.87 166.71 133.02 124.43 292.17 163.34 131.35
Names of X columns:
BV HK BN VI
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Omit all rows with missing values?
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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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