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Data X:
247832.00 246909.00 245973.00 244036.00 263198.00 262184.00 247832.00 238290.00 239213.00 239213.00 240240.00 242086.00 244959.00 244959.00 243113.00 238290.00 263198.00 266994.00 261261.00 247832.00 253578.00 244959.00 248846.00 250705.00 252642.00 247832.00 248846.00 242086.00 263198.00 269867.00 264134.00 253578.00 265057.00 252642.00 264134.00 263198.00 266071.00 255515.00 266994.00 266071.00 283296.00 279409.00 264134.00 256438.00 266994.00 252642.00 263198.00 265057.00 268944.00 260338.00 265057.00 267930.00 278486.00 269867.00 258388.00 245973.00 257465.00 225875.00 241163.00 249769.00 258388.00 245973.00 245973.00 245973.00 252642.00 243113.00 230607.00 220142.00 227734.00 198094.00 216255.00 226811.00 228748.00 218192.00 219115.00 216255.00 225875.00 219115.00 205790.00 196157.00 212446.00 177073.00 200044.00 210509.00 210509.00 198094.00 186615.00 185692.00 196157.00 186615.00 168467.00 155961.00 169390.00 137813.00 166517.00 181792.00 186615.00 176059.00 162721.00 172263.00 176059.00 173186.00 144469.00 131144.00 140673.00 111969.00 141609.00 152165.00 160771.00 146419.00 132990.00 140673.00 144469.00 136877.00 108173.00 95667.00 107146.00 75569.00 110019.00 131144.00
Names of X columns:
A
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Color
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grey
white
blue
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black
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Omit all rows with missing values?
no
no
yes
Chart options
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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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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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