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Data:
804.73 900.66 921.08 889.16 866.69 877.03 875.84 890.10 882.08 877.63 1.018.92 1.166.57 1.299.17 1.543.36 1.720.28 1.642.42 1.740.43 1.982.35 2.166.31 2.394.09 2.739.84 2.596.66 2.458.20 2.483.69 2.400.91 2.693.40 3.005.52 2.998.06 2.950.27 2.995.89 3.042.78 2.861.42 2.699.27 2.859.91 2.673.56 2.733.46 3.187.85 3.059.10 2.879.37 2.674.09 2.710.12 2.931.91 2.928.17 3.082.64 3.116.34 3.212.91 3.389.01 3.915.49 4.607.34 4.532.82 4.026.72 4.209.06 4.449.97 4.345.18 4.300.59 4.826.95 5.089.38 5.671.89 5.698.62 5.426.46 5.411.60 5.319.82 5.275.01 5.462.24 6.078.45 6.170.02 6.164.01 6.032.99 5.817.62 5.915.32 5.567.30 5.739.97 5.658.21 5.588.23 5.324.26 5.499.76 5.417.07 5.580.47 5.515.00 5.302.96 5.417.37 5.385.39 5.067.43 4.902.59 5.226.51 5.368.55 5.277.05 5.330.45 5.652.17 5.732.45 5.706.70 5.480.45 5.481.38 5.071.22 4.942.28 4.794.41 4.321.56 4.514.43 4.833.17 4.589.50 4.318.00 4.066.31 4.117.76 3.257.38 3.268.62 3.396.81 3.962.38 3.594.75 3.558.44 3.841.11 4.134.19 4.457.80 4.470.88 4.772.01 4.707.08 4.652.73 4.620.39 4.581.22 4.910.44 5.167.72 5.427.99 5.191.20 5.140.87 4.957.83 4.992.20 4.920.04 4.827.61 4.954.27 4.849.56 4.752.81 4.841.34 4.869.04 5.103.66 4.912.68 4.943.64 5.071.90 5.490.22 5.390.85 5.484.16 5.666.09 5.075.42 5.180.93 5.443.15 5.397.69 5.282.24 5.287.14 5.340.43 5.223.76 5.138.45 5.002.66 4.954.71 4.955.49 4.695.26 4.768.42 4.814.82 5.019.64 4.981.90 5.045.96 5.057.13 5.679.59 5.917.39 5.967.54 6.309.86 6.727.96 6.991.60 7.452.02 7.244.70 7.336.67 7.079.38 7.629.43 7.474.34 7.339.68 7.207.75 7.518.78 7.882.41 8.238.23 8.562.71 8.805.95 8.998.60 8.962.56 8.864.43 9.178.15 9.413.22 9.263.71 9.199.45 9.521.44 9.975.23 9.757.51 10.073.32 9.786.64 9.430.58 9.206.10 9.513.40 9.755.40 9.930.98 10.005.85 9.922.55 9.895.07 9.928.29 10.297.86 10.678.19 11.069.48 11.705.40 12.373.78 12.988.02 12.844.89 13.312.02 14.240.93 14.309.57 15.118.35 14.840.29 14.760.55 14.602.10 15.345.84 14.522.13 14.076.25 12.944.07 13.197.15 13.422.24 13.982.91 14.235.28 14.647.96 14.340.19 13.775.73 12.967.40 11.786.27 11.486.70 11.324.07 12.114.47 11.879.64 11.861.95 12.772.35 14.684.06 14.767.83 15.288.54 15.072.59 15.878.29 15.653.08 15.373.00 16.630.91 17.594.65 17.789.25 17.642.67 18.039.09 18.130.71 18.848.07 20.296.63 21.239.70 22.355.95 22.874.62 22.927.69 22.979.22 22.248.93 21.229.26 21.871.92 22.784.53 22.929.02 22.642.40 21.166.36 20.463.36 18.796.89 20.711.29 20.074.19 20.129.80 20.454.09 21.546.22 22.206.86 21.925.87 20.802.59 21.079.74 20.447.87 20.176.31 20.551.46 20.910.93 20.323.85 21.070.28 22.167.63 22.219.95 21.698.32 21.084.60 20.681.45 19.861.10 18.438.04 17.993.73 18.833.77 19.242.04 18.599.86 18.227.05 17.123.06 18.342.81 18.552.57 19.186.66 19.103.01 18.899.87 18.945.82 19.422.77 19.250.93 18.842.72 19.457.82 18.870.41 18.761.30 19.357.66 19.090.84 19.625.34 19.662.20 18.977.93 18.833.52 18.756.37 18.056.21 18.811.30 18.027.32 18.151.50 18.243.46 18.259.20 19.296.65 19.655.14 19.416.89 19.725.53 20.368.48 20.429.26 20.046.48 21.423.49 21.020.27 20.734.17 20.988.59 21.811.38 23.967.88 24.088.63 24.354.53 23.787.44 25.312.82 25.726.70 26.682.39 28.028.35 25.167.46 27.980.78 29.419.79 28.132.19 27.736.23 28.699.31 27.625.84 26.843.21 27.360.34 26.589.85 26.885.86 25.979.23 25.965.55 25.949.84 27.317.47 26.797.42 26.643.94 26.331.76 25.352.28 25.782.14 25.280.70 24.278.74 25.455.44 23.838.15 22.705.71 23.393.53
Name of dataseries
Source
Description
Season
12
6
4
No season
Chart options
Title:
Label y-axis:
Label x-axis:
Y-axis minimum
Y-axis maximum
R Code
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') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Summary Statistics of dataseries x',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('summary(x)'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab')
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Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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