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Data:
102.7 116.6 114.7 74.2 73.9 81.3 85.8 113.7 101.7 85.2 62.5 61.2 87.1 96.5 88.4 67.0 58.6 62.5 86.1 98.7 85.3 73.8 55.2 54.4 80.8 88.0 74.5 55.1 47.2 54.2 70.6 78.5 77.1 56.6 39.8 44.1 66.9 75.3 74.9 48.8 37.0 49.8 63.2 75.9 68.5 49.2 40.3 38.6 54.2 70.6 68.0 43.0 42.3 47.7 57.7 75.8 57.2 43.6 40.0 35.9 59.5 72.7 70.9 44.9 44.5 48.0 60.4 71.8 63.2 32.4 33.9 24.2 64.7 73.0 61.7 31.9 30.8 36.7 47.4 54.0 41.1
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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Big Analytics Cloud Computing Center
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