Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
58.5 120.7 59.8 134.1 64.6 143.6 62.2 115.1 68 135.1 64.3 123.6 58.9 110.7 64.8 104.3 67.5 143.7 76.2 149.7 73.7 143.3 70.4 115.3 67.7 136.2 63.7 137.4 72.4 147.6 66 123.7 70.1 131.6 70.4 132.7 66.6 123 72.6 108.2 74 140.9 79 149.2 76.1 134.5 72.3 103.2 71.6 136.2 67.2 135.6 73.8 139.7 70.8 131 71.4 124.4 70.4 123.6 70.7 125.1 70.6 106.2 75.5 144.4 82.1 153.7 74.3 131.5 76.3 105.5 74.5 136.3 71.1 133.4 73.3 129.8 73.8 129.1 69 113 71.1 117.1 71.9 115.4 69 96.5 77.3 141 82.8 141.3 74 121 77.6 106 72.3 121.9 70.7 122.4 81 137.4 76.4 118.9 72.3 106.7 79.5 126.5 73.3 110.8 74.5 99.3 82.7 138.7 83.8 128.9 81.6 121.9 85.5 106 76.7 113.1 71.8 124.2 80.2 129.2 76.8 116.5 76.1 105.7 80.7 122 71.3 105.1 80.9 100.8 85 131.8 84.5 119.9 87.7 127.1 87.7 107.1 80.2 115.8 74.4 122.9 85.8 137.5 77 108.9 84.5 114.9 83.6 129.7 77.7 111.8 85.7 103.4 87.9 140.3 93.7 140.7 92.3 136.1 87 106.3 89.1 127.7 81.3 136.4 92.7 145.1 83.9 116.5 87.3 117.6 89.1 129 86.9 117.4 91.7 107.2 93 130.9 105.3 145.1 101.6 127.8 94.2 96.6 100.5 126 95.8 130.1 95.8 124.5 102.1 137.4 96 105.6 96.8 113.3 98.9 108.4 93.4 83.5 105.5 116.2 110.9 115.6 98.6 95.6 102.6 83.5 93.5 95.3 90.8 95.8 99.7 100.4 97.8 90.9 91.1 80 98.1 93.8 96 92.3 93.5 74.3 101.2 101.4 105.2 103.7 98.9 92.4 101.3 83.4 92.1 91.6 90.6 101.2 105.4 109.2 98.4 100.3 92.7 91 101.2 110.9 93.4 96.3 98.3 80.4 104.3 114.5 107 109.9 107.7 104.1 108.9 90.7 99.6 94.6 96.1 100.4 109 115.9 99.5 94.4 104.6 102.5 99.9 97.3 94.1 90 105.3 81.1 110.4 107.3 110.5 100.5 110 95.4 108.5 81.1 104.3 92.2 101.2 98.4 109.2 98.6 99.6 81.4 105.6 85.5 106.2 90.4 102.2 83.7 107.5 73.3 105.8 89.8 120.5 101.6 113.2 87.5 104.3 65.3 107.7 87.1 99.2 89.9 105.1 91.5 104.3 84.7 106.1 84.1 100.8 86.7 106.7 89.6 101.6 65.7 104.4 92.9 114.8 97.7 105.4 84.4 104 68.1 102 95 96.5 96.3 102.3 94.7 105.3 89.7 101.9 81.3 102.2 89.3 102.8 94.2 100.4 68.7 110.7 105.7 116.4 102 106 84.3 109.2 74.9 103 92.9 99.8 100.4 109.8 99.4 107.3 94.6 101.2 84 111.8 102.2 106.9 91.4 103.5 79.8 113.1 101 119.4 97.5 113.3 87.8 115 77.1 104.7 89.6 107.2 100.9 116.6 97.8 111.3 90.5 111.4 84.2 115 96.8 102.4 82.9 111.4 75.6 113.2 91.9 112.9 85.4 114.2 90.4 115.6 74 107.1 93.1 102.3 94.9 117.9 102.9 105.8 80.7 114.3 91.7 113.1 95.5 102.9 84.8 112.2 74.4
Names of X columns:
food textile
Sample Range:
(leave blank to include all observations)
From:
To:
Color
1
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
2
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation