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Data X:
46.8 122.2 52.8 136.1 58.3 145.5 54.5 116.7 64.7 137.1 58.3 125.5 57.5 112.4 56.7 106.3 56 145.7 66.2 151.5 58.2 144.6 53.9 116.4 53.1 137.7 54.4 138.8 59.2 149.5 57.8 125 61.5 133.4 60.1 134.4 60.1 124.8 58.4 110.6 56.8 142.4 63.8 149.6 53.9 134.6 63.1 103.3 55.7 136.5 54.9 137.1 64.6 140.7 60.2 131.4 63.9 126.2 69.9 125.3 58.5 126.6 52 107.7 66.7 144.5 72 154.2 68.4 131.4 70.8 105.7 56.5 136.2 62.6 133.3 66.5 130 69.2 129.3 63.7 113.1 73.6 117.7 64.1 116.3 53.8 97.3 72.2 140.6 80.2 141.2 69.1 120.8 72 106.2 66.3 121.5 72.5 122.6 88.9 137.2 88.6 118.9 73.7 107.2 86 127.4 70 111.8 71.6 100 90.5 138.3 85.7 128 84.8 121.2 81.1 105.9 70.8 112.5 65.7 123.1 86.2 129 76.1 115.5 79.8 105.7 85.2 122.3 75.8 106.4 69.4 101.1 85 131.6 75 119.5 77.7 127 68.5 106.9 68.4 115.9 65 122.7 73.2 137.2 67.9 108.5 76.5 115.2 85.5 129.4 71.7 112.3 57.9 104.3 75.5 140 78.2 139.9 75.7 134.9 67.1 105.1 74.6 127 66.2 135.5 74.9 143.9 69.5 115.8 76.1 117.5 82.3 129.3 82.1 117.9 60.5 108.1 71.2 131.7 81.4 143.7 74.5 126.2 61.4 96.9 83.8 125.8 85.4 129.6 91.6 124.9 91.9 136.8 86.3 107.5 96.8 114.3 81 110.3 70.8 85.5 98.8 116.8 94.5 115.1 84.5 95.2 92.8 83.4 81.2 95.4 75.7 96.3 86.7 100.5 87.5 90.9 87.8 80.6 103.1 94.8 96.4 93.9 77.1 75.9 106.5 101.6 95.7 103.3 95.3 91.8 86.6 83.5 89.6 92 81.9 101.2 98.4 109.1 92.9 99.8 83.9 90.8 121.8 110.6 103.9 97.8 87.5 81.9 118.9 114.4 109 108.8 112.2 103.1 100.1 90.4 111.3 94.4 102.7 100.5 122.6 115.1 124.8 93.9 120.3 102.5 118.3 97.1 108.7 91.2 100.7 82.3 124 107.1 103.1 99.2 115 94.8 112.7 81.1 101.7 92.5 111.5 97.7 114.4 98.5 112.5 81.2 107.2 86.2 136.7 92 107.8 86.3 94.6 74.8 110.7 90 126.6 101.1 127.9 87.8 109.2 66.3 87.1 88.6 90.8 90 94.5 92 103.3 85.1 103.2 85.9 105.4 88.5 103.9 92.3 79.8 68 105.6 93.6 113 97.7 87.7 85.1 110 69.9 90.3 96.1 108.9 97 105.1 95.9 113 91.3 100.4 83.5 110.1 91.4 114.7 96.8 88.6 71 117.2 106.9 127.7 102.7 107.8 84.9 102.8 75.8 100.2 93.6 108.4 100.7 114.2 100.5 94.4 95.9 92.2 85.7 115.3 104.1 102 93.5 86.3 81.5 112 102.1 112.5 98.2 109.5 88.4 105.9 77.8 115.3 90.1 126.2 101 112.2 98.6 112.5 91.5 106.9 86.4 90.6 98.9 75.6 85.2 78.8 77.3 101.8 93 93.9 86.8 100 91.3 89.2 74.9 97.7 93.9 121.1 95 108.8 103.1 92.9 81.4 113.6 93.1 112.6 97.2 98.8 86.4 78 75.5
Names of X columns:
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Color
grey
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
no
no
yes
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par2 <- 'no' par1 <- 'grey' if(par2=='yes') { z <- na.omit(as.data.frame(t(y))) } else { 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,'Boxplot statistics',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower whisker',1,TRUE) a<-table.element(a,'lower hinge',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper hinge',1,TRUE) a<-table.element(a,'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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