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Data:
296.95 296.84 287.54 287.81 283.99 275.79 269.52 278.35 283.43 289.46 282.30 293.55 304.78 300.99 315.29 316.21 331.79 329.38 317.27 317.98 340.28 339.21 336.71 340.11 347.72 328.68 303.05 299.83 320.04 317.94 303.31 308.85 319.19 314.52 312.39 315.77 320.23 309.45 296.54 297.28 301.39 306.68 305.91 314.76 323.34 341.58 330.12 318.16 317.84 325.39 327.56 329.77 333.29 346.10 358.00 344.82 313.30 301.26 306.38 319.31
Seasonal Period
4
12
1
2
3
4
6
12
Chart options
R Code
par1 <- as.numeric(par1) n <- length(x) sx <- sort(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Variance Reduction Matrix',6,TRUE) a<-table.row.end(a) for (bigd in 0:2) { for (smalld in 0:3) { mylabel <- 'V(Y[t],d=' mylabel <- paste(mylabel,as.character(smalld),sep='') mylabel <- paste(mylabel,',D=',sep='') mylabel <- paste(mylabel,as.character(bigd),sep='') mylabel <- paste(mylabel,')',sep='') a<-table.row.start(a) a<-table.element(a,mylabel,header=TRUE) myx <- x if (smalld > 0) myx <- diff(x,lag=1,differences=smalld) if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd) a<-table.element(a,var(myx)) a<-table.element(a,'Range',header=TRUE) a<-table.element(a,max(myx)-min(myx)) a<-table.element(a,'Trim Var.',header=TRUE) smyx <- sort(myx) sn <- length(smyx) a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)])) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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