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Data X:
0.5857 0.5858 0.5717 0.5945 0.5961 0.5973 0.6036 0.6096 0.6315 0.6262 0.6121 0.6326 0.6214 0.6274 0.6175 0.6208 0.6225 0.5889 0.6020 0.5932 0.5841 0.6000 0.5947 0.5891 0.6051 0.5960 0.6012 0.5957 0.5959 0.6049 0.6064 0.6137 0.6311 0.6258 0.6010 0.6232 0.6384 0.6014 0.5980 0.5987 0.6237 0.5813 0.5991 0.6160 0.6096 0.6051 0.5857 0.5565 0.5223 0.5091 0.4919 0.4995 0.5069 0.5190 0.5460 0.5648 0.5751 0.5862 0.5877
Data Y:
2.86 2.55 2.27 2.26 2.57 3.07 2.76 2.51 2.87 3.14 3.11 3.16 2.47 2.57 2.89 2.63 2.38 1.69 1.96 2.19 1.87 1.60 1.63 1.22 1.21 1.49 1.64 1.66 1.77 1.82 1.78 1.28 1.29 1.37 1.12 1.51 2.24 2.94 3.09 3.46 3.64 4.39 4.15 5.21 5.80 5.91 5.39 5.46 4.72 3.14 2.63 2.32 1.93 0.62 0.60 -0.37 -1.10 -1.68 -0.78
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')
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R Server
Big Analytics Cloud Computing Center
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