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CSV
Data X:
58.5 55.5 46.8 59.8 63 52.8 64.6 77.2 58.3 62.2 71.1 54.5 68 90.1 64.7 64.3 91.5 58.3 58.9 76.1 57.5 64.8 87.8 56.7 67.5 81 56 76.2 77.2 66.2 73.7 73.8 58.2 70.4 68.9 53.9 67.7 68.4 53.1 63.7 65.2 54.4 72.4 78.7 59.2 66 77 57.8 70.1 97.6 61.5 70.4 88.1 60.1 66.6 98.7 60.1 72.6 93.4 58.4 74 68 56.8 79 87.9 63.8 76.1 75.8 53.9 72.3 66.3 63.1 71.6 68.4 55.7 67.2 71.3 54.9 73.8 77.4 64.6 70.8 87.1 60.2 71.4 88.5 63.9 70.4 85.9 69.9 70.7 92.7 58.5 70.6 88.5 52 75.5 80.2 66.7 82.1 81.8 72 74.3 70.4 68.4 76.3 82.2 70.8 74.5 72.8 56.5 71.1 69 62.6 73.3 83 66.5 73.8 92.4 69.2 69 92.3 63.7 71.1 100.5 73.6 71.9 106.9 64.1 69 99.5 53.8 77.3 85.9 72.2 82.8 92.6 80.2 74 77.4 69.1 77.6 84.1 72 72.3 75.3 66.3 70.7 73.8 72.5 81 100.1 88.9 76.4 90.7 88.6 72.3 96.5 73.7 79.5 111.8 86 73.3 97.4 70 74.5 100.8 71.6 82.7 93.7 90.5 83.8 82 85.7 81.6 86 84.8 85.5 84.3 81.1 76.7 73.1 70.8 71.8 75.4 65.7 80.2 97.9 86.2 76.8 97.5 76.1 76.1 106 79.8 80.7 112.8 85.2 71.3 99.5 75.8 80.9 100.8 69.4 85 102.9 85 84.5 88.8 75 87.7 91.3 77.7 87.7 88.3 68.5 80.2 77.4 68.4 74.4 80.5 65 85.8 96.7 73.2 77 93.8 67.9 84.5 105 76.5 83.6 117.1 85.5 77.7 111.1 71.7 85.7 105.8 57.9 87.9 95.7 75.5 93.7 97.1 78.2 92.3 91 75.7 87 90.9 67.1 89.1 83.5 74.6 81.3 82.3 66.2 92.7 101.7 74.9 83.9 108.3 69.5 87.3 114 76.1 89.1 118.2 82.3 86.9 103.4 82.1 91.7 106.8 60.5 93 95.4 71.2 105.3 101.8 81.4 101.6 95.6 74.5 94.2 94.8 61.4 100.5 94 83.8 95.8 82.4 85.4 95.8 95.8 91.6 102.1 106.7 91.9 96 114.1 86.3 96.8 103.9 96.8 98.9 117.4 81 93.4 105.9 70.8 105.5 101.7 98.8 110.9 98.7 94.5 98.6 91.3 84.5 102.6 102.3 92.8 93.5 80.5 81.2 90.8 86.7 75.7 99.7 102.6 86.7 97.8 107.3 87.5 91.1 108 87.8 98.1 124.3 103.1 96 117.1 96.4 93.5 103.9 77.1 101.2 104.7 106.5 105.2 95.9 95.7 98.9 94.2 95.3 101.3 102.7 86.6 92.1 70.3 89.6 90.6 90.2 81.9 105.4 107.3 98.4 98.4 104.6 92.9 92.7 102.7 83.9 101.2 124.5 121.8 93.4 117.8 103.9 98.3 104.2 87.5 104.3 99.9 118.9 107 91.5 109 107.7 95.7 112.2 108.9 91.4 100.1 99.6 86.2 111.3 96.1 91.5 102.7 109 115.5 122.6 99.5 113.9 124.8 104.6 131.9 120.3 99.9 121.2 118.3 94.1 105.2 108.7 105.3 107.5 100.7 110.4 113.8 124 110.5 100.5 103.1 110 104.8 115 108.5 103.8 112.7 104.3 93.1 101.7 101.2 106.2 111.5 109.2 117.5 114.4 99.6 109.9 112.5 105.6 123.6 107.2 106.2 131.7 136.7 102.2 111 107.8 107.5 122 94.6 105.8 110.9 110.7 120.5 108 126.6 113.2 103.6 127.9 104.3 107.3 109.2 107.7 94.4 87.1 99.2 85.2 90.8 105.1 113.2 94.5 104.3 111.7 103.3 106.1 124.3 103.2 100.8 124 105.4 106.7 133.4 103.9 101.6 112.6 79.8 104.4 115.8 105.6 114.8 112.3 113 105.4 103.6 87.7 104 111.4 110 102 95.1 90.3 96.5 93.4 108.9 102.3 117.3 105.1 105.3 121.5 113 101.9 123.1 100.4 102.2 139.3 110.1 102.8 125.8 114.7 100.4 108.6 88.6 110.7 121 117.2 116.4 111.6 127.7 106 99.7 107.8 109.2 116.7 102.8 103 90.3 100.2 99.8 90.4 108.4 109.8 117.3 114.2 107.3 121.6 94.4 101.2 114.6 92.2 111.8 133.3 115.3 106.9 127.4 102 103.5 115 86.3 113.1 112.6 112 119.4 108.3 112.5 113.3 107.6 109.5 115 109 105.9 104.7 89 115.3 107.2 102.5 126.2 116.6 124.5 112.2 111.3 124.2 112.5 111.4 130.8 106.9 115 138.7 90.6 102.4 127.6 75.6 111.4 130.9 78.8 113.2 136.9 101.8 112.9 125.2 93.9 114.2 131.3 100 115.6 124.1 89.2 107.1 103.2 97.7 102.3 118.1 121.1 117.9 136.5 108.8 105.8 117.8 92.9 114.3 145.1 113.6 113.1 158.8 112.6 102.9 136.9 98.8 112.2 132.7 78
Names of X columns:
Food beverages tobacco
Sample Range:
(leave blank to include all observations)
From:
To:
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
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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Raw Input
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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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