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Browser Blue - Charts White
Browser Black/White
CSV
Data X:
0.21 0.29 0.23 0.27 0.22 0.29 0.25 0.24 0.18 0.31 0.21 0.30 0.27 0.27 0.25 0.20 0.27 0.23 0.32 0.18 0.23 0.25 0.27 0.25 0.32 0.17 0.33 0.18 0.18 0.24 0.27 0.30 0.22 0.28 0.24 0.26 0.18 0.32 0.20 0.30 0.29 0.24 0.27 0.19 0.27 0.23 0.31 0.20 0.30 0.22 0.28 0.21 0.29 0.23 0.29 0.18 0.29 0.16 0.40 0.14 0.16 0.34 0.20 0.31 0.25 0.27 0.26 0.22 0.16 0.23 0.28 0.32 0.27 0.21 0.29 0.23 0.21 0.28 0.25 0.26 0.33 0.17 0.35 0.15
Names of X columns:
McCain Obama Bush Kerry
Sample Range:
(leave blank to include all observations)
From:
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Color
5
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
grey
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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