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Data:
14929387.5 14717825.3 15826281.2 16301309.6 15033016.9 16998460.6 14066462.7 13328937.3 17319718.2 17586426.8 15887037.4 17935679.1 15869489 15892510.9 17556558.1 16791643 15953688.5 18144913.6 14390881 13885708.7 17332571.5 17152595.8 16003877.1 16841467.1 14783398.1 14667847.5 17714362.2 16282088 15014866.2 17722582.4 13876509.4 15495489.6 17799521.1 17920079.1 17248022.4 18813782.4 16249688.3 17823358.5 20424438.3 17814218.7 19699959.6 19776328.1 15679833.1 17119266.5 20092613 20863688.3 20925203.1 21032593 20664684.3 19711511.4 22553293.4 19498332.9 20722827.8 21321275 17960847.7 17789654.9 20003708.5 21169851.7 20422839.4 19810562.3
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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