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Data:
88.1 101.7 114.8 103.4 96.4 110 71.1 79.4 119.2 99.1 113.2 103.6 97.5 102.4 120.8 89.5 101.7 112.5 72.4 84.7 117.2 112.8 111.3 102.3 95.2 103 116.4 95.1 100.7 112.4 75.3 93.3 118.6 118.7 110.7 113.3 89.5 106.3 115.1 105.7 95.8 114.7 79.6 80.6 125 127.5 99.5 104.3 90 96 108.9 95.8 87.2 108.4 74.9 80.8 119.1 107.9 106.9 96.8 93.7 95.2 112.7 98.5 91.5 112 76.7 84.7 114.9 108.4 104.6 111.3 90.8 109.1 121 95.2 110.5 102.4 86.7 99.1 126 110.3 104.6 103.1 102
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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