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Data:
145.16 146.64 147.09 142.35 148.34 149.66 150.62 150.54 150.43 151.26 153.72 154.46 155.90 156.50 158.06 159.07 160.59 160.97 161.25 163.22 164.68 166.16 167.37 168.39 170.48 171.87 172.06 171.95 174.05 175.02 175.65 176.21 177.13 178.28 179.99 181.70 182.97 183.00 183.92 184.26 185.98 187.38 188.17 189.42 189.83 190.36 191.39 192.14 192.71 193.61 193.68 194.11 195.36 197.38 198.97 199.75 199.95 199.98 201.08 201.08 201.49 201.38 201.86 201.92 202.17 202.32 202.01 202.65 202.18 202.45 202.43 202.62 203.32 203.09 202.94 203.11 203.96 204.36 204.57 205.51 205.60 205.83 206.56 207.21 206.84 206.62 205.99 206.05 205.88 206.47 206.54 207.47 207.67 208.02 208.65 209.10 209.33 209.39 209.25 210.01 210.81 211.75 212.24 213.67 213.87 214.27 214.97 215.69 216.75 217.02 216.74 217.59 218.39 218.91 219.45 220.45 220.51 220.65 221.44 222.71 224.75 226.27 225.46 225.18 232.03 232.76 232.82 233.07 233.92 234.67 235.76 235.36 235.78 236.28 237.03 237.01 238.61 239.22 239.63 239.84 240.22 240.26 241.84 242.86 242.42 242.72 243.03 243.40 244.38 245.20 245.17 245.63 246.36 246.88 248.40 248.80 248.38 247.86 247.86 247.92 248.97 249.65 249.45 249.84 249.76 250.03 251.36 251.99 251.34 250.88 251.51 251.55 253.84 254.34 254.51 254.95 254.51 254.53 256.20 256.82 256.30 257.05 257.45 257.90 259.70 259.38 258.22 258.15 258.53 258.97 261.05 261.57 260.45 260.40 261.09 260.86 260.79 261.30 260.87 262.04 263.35 263.09 263.73 262.73 262.60 262.66 262.60 262.40 263.27 263.86 264.06 265.11 265.57 265.03 265.44 265.14 265.72 266.08 266.62 267.49 267.97 269.00 270.02 270.53 271.30 272.32 272.86 272.78 274.65 273.98 274.88 274.16 273.88 275.06 275.67 278.07 279.81 280.30 280.09 280.07 280.86 280.43 280.73 280.14 281.83 282.29 283.03 283.11 283.55 282.75 283.67 283.60 284.39 284.06 283.83 283.98 285.23 287.20 288.02 287.30 286.49 287.33 287.89 288.66 289.50 288.56 289.09 288.92 289.76 290.83 291.27 292.83 293.95 293.82 294.82 295.18 295.38 296.82 296.46 295.49 296.31 298.30 300.22 300.91 301.34 302.26 304.08 304.36 304.72 304.16 304.08 304.03 304.11 305.43 305.31 306.81 307.96 307.90 308.96 309.34 308.46 307.84 308.60 309.01 309.16 310.84 310.87 312.28 311.89 311.87 313.19 312.81 313.10 314.75 317.68 318.57 319.86 322.15 324.50 325.24 328.15 329.97 331.70 329.67 330.20 329.62 327.65 326.94 327.26 328.38 326.50 327.18 326.94 326.32 326.12 327.12 326.27 326.41 327.26 327.79 329.29 330.67 331.91 333.05 334.38 334.35 334.49 334.70 335.76 336.23 336.64 337.96 339.90 341.87 343.58 344.43 345.57 346.63 347.04 346.75 347.69 348.22

Name of dataseries


Source


Description


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')

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