Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
82.6 85.99 86.85 86.12 97.19 89.8 90.27 90.68 90.05 90.28 91.52 88.3 85.31 87.86 87.77 88.44 88.73 94.4 94.09 90.32 89.68 94.15 95.2 91.82 90.33 95.14 96.06 97.21 100.33 98.79 102.48 99.29 98.83 97.25 94.55 93.53 93.58 95.79 94.77 94.2 96.23 92.3 88.86 86.44 86.21 88.57 90.69 89 86.88 90.65 90.68 89.64 102.62 101.84 92.51 94.29 94.68 96.94 94.03 89.65 84.9 89.07 89.8 93.22 92.23 98.41 96.63 89.8 90 92.13 93.27 90.81 85.42 88.28 88.73 90.18 92.74 96.13 94.85 94.25 96.94 101.22 98.71 95.51 93.91 98.17 97.59 99.64 107.88 108.49 100.25 99.27 101.73 101.25 97.09 94.74 94.53 93.48 96.05 106.22 98.33 99.86 93.78 88.96 83.77 89.46 86.78 88.4 87.19 92.23 95.99 104.75 105.63 108.71 96.4 93.31 93.77 98.7 95.04 95.61
Name of dataseries
Source
Description
Season
12
12
6
4
No season
Chart options
Title:
Label y-axis:
Label x-axis:
Y-axis minimum
Y-axis maximum
R Code
par4 <- '12' par3 <- 'Consumptieprijsindex vers fruit (2013=100)' par2 <- 'NBB' par1 <- 'Vers Fruit' if (par4 != 'No season') { par4 <- as.numeric(par4) if (par4 < 4) par4 <- 12 } summary(x) n <- length(x) bitmap(file='test1.png') if (par4=='No season') { plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n') axis(1,at=seq(1,n,10)) } if (par4!='No season') { plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n') axis(1,at=seq(1,n,par4)) grid(nx=0,ny=NULL,col='black') abline(v=seq(1,n,par4),col='black',lty='dotted') } dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Univariate Dataseries',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description',header=TRUE) a<-table.element(a,par3) 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