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Data:
31.48 29.90 33.84 39.12 33.70 25.09 51.44 45.59 52.52 48.56 41.75 49.59 32.75 33.38 35.65 37.03 35.68 20.97 58.55 54.96 65.54 51.57 51.15 46.64 35.70 33.25 35.19 41.67 34.87 21.21 56.13 49.23 59.72 48.10 47.47 50.50 40.06 34.15 36.86 46.36 36.58 23.87 57.28 56.39 57.66 62.30 48.93 51.17 39.64 33.21 38.13 43.29 30.60 21.96 48.03 46.15 50.74 48.11 38.39 44.11
Seasonal Period
36
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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