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Data:
115.6 120.3 121.9 121.7 118.9 113.4 114 117.5 120.9 125.1 124.7 128.2 149.7 163.6 173.9 164.5 154.2 147.9 159.3 170.3 170 174.2 190.8 179.9 240.8 241.9 241.1 239.6 220.8 209.3 209.9 228.3 242.1 226.4 231.5 229.7 257.6 260 264.4 268.8 271.4 273.8 277.4 268.2 264.6 266.6 266 267.4 289.8 294 310.3 311.7 302.1 298.2 299.2 296.2 299 300 299.4 300.2 470.2 472.1 484.8 513.4 547.2 548.1 544.7 521.1 459 413.2
Seasonal Period
1
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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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