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Data:
181.10 191.20 206.20 212.00 224.70 231.30 229.30 227.40 253.90 265.90 277.70 292.10 282.90 292.80 311.00 330.90 350.00 348.50 360.90 345.90 308.80 320.00 322.00 322.90 343.30 354.70 376.60 383.20 392.50 388.20 407.40 412.50 419.80 418.10 389.20 391.60 412.90 385.90 385.50 350.20 336.30 318.50 345.40 377.40 359.50 315.60 307.80 277.40 186.90 160.00 149.10 148.90 137.90 134.00 157.50 175.10 181.00 182.20 207.80 219.40
Seasonal Period
12
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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