Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
87.00 96.30 107.1 115.2 106.1 89.50 91.30 97.60 100.7 104.6 94.70 101.8 102.5 105.3 110.3 109.8 117.3 118.8 131.3 125.9 133.1 147.0 145.8 164.4 149.8 137.7 151.7 156.8 180.0 180.4 170.4 191.6 199.5 218.2 217.5 205.0 194.0 199.3 219.3 211.1 215.2 240.2 242.2 240.7 255.4 253.0 218.2 203.7 205.6 215.6
Data Y:
117.09 116.77 119.39 122.49 124.08 118.29 112.94 113.79 114.43 118.70 120.36 118.27 118.34 117.82 117.65 118.18 121.02 124.78 131.16 130.14 131.75 134.73 135.35 140.32 136.35 131.60 128.90 133.89 138.25 146.23 144.76 149.30 156.80 159.08 165.12 163.14 153.43 151.01 154.72 154.58 155.63 161.67 163.51 162.91 164.80 164.98 154.54 148.60 149.19 150.61
Name of dataseries x
Source of x
Description of x
Name of dataseries y
Source of y
Description of y
Chart options
Label y-axis:
Label x-axis:
R Code
bitmap(file='test1.png') op <- par(mfrow=c(2,2)) plot(x,type='b',main='Plot of x',xlab=xlab,ylab=ylab) plot(y,type='b',main='Plot of y',xlab=xlab,ylab=ylab) hist(x) hist(y) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Bivariate Dataseries',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries x',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source of x',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description of x',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries y',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source of y',header=TRUE) a<-table.element(a,par5) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description of y',header=TRUE) a<-table.element(a,par6) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation