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Data X:
7149.3 7566.6 9954.9 5566.2 4397.4 3970.5 5805.3 7112.1 5622.6 11673.3 13034.4 11737.8 4838.7 6823.2 7767.3 7048.5 5748.6 3444.3 5168.1 4015.8 4089.3 5661.9 10739.4 11097 3806.1 7146.9 10894.2 7432.5 7243.5 5851.2 5562.3 3854.7 4398.3 6478.8 8766 9057.6 6097.5 4467.6 7311.3 6724.2 6065.1 5462.4 4256.1 3728.4 6192.9 8603.1 11808 7562.7 4309.5 5360.4 8452.5 5682 7342.8 5065.5 3253.5 4106.7 3375.3 10135.2 12551.4 6875.7 3291.6 5217 6253.8 5981.1 4576.5 4453.5 3896.7 4905 3596.4 7035.9 11962.8 8205.9 5713.2 5465.7 5896.2 4408.8 3602.7 3926.7 2018.1 2497.2 5327.1 9250.8 13317 10486.8 4709.7 6599.1 6536.7 7362 2150.1 1936.5 2772.3 5329.8 5593.2 6538.8 11617.8 12151.5 2936.7 4336.8 6644.1 6252.3 3869.7 3050.7 2227.8 3222.9 3013.2 4480.5 9028.2 14435.1 8109.9 3454.8 5867.7 5633.4 4391.1 2821.2 2640.9 2130.6 2944.8 3823.2 7311.9 8823.6 9800.7 5129.1 6377.4 7721.1 4753.5 3099.6
Names of X columns:
N2131
Sample Range:
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grey
grey
white
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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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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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