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Data:
104.3 119.8 116.8 118.2 107.4 110.8 94.8 96.5 113.4 109.8 118.7 117.2 110.3 111.6 128.1 121.3 107.3 120.5 98.5 97.7 113.2 114.6 118.3 123.9 113.6 117.5 130.1 124.7 114.2 127.3 105.9 101.5 120.2 117.1 131.1 130 120.6 123.1 135.3 134.1 123.7 134.6 108.3 110.4 127.8 126.6 131.4 141.1 127 127.3 143.6 149.4 126.6 136.5 116 118 131.4 140.7 144.9 143.9 127.1
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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