Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
1322.4 1089.2 1147.3 1196.4 1190.2 1146 1139.8 1045.6 1050.9 1117.3 1120 1052.1 1065.8 1092.5 1422 1367.5 1136.3 1293.7 1154.8 1206.7 1199 1265 1247.1 1116.5 1153.9 1077.4 1132.5 1058.8 1195.1 1263.4 1023.1 1141 1116.3 1135.6 1210.5 1230 1136.5 1068.7 1372.5 1049.9 1302.2 1305.9 1173.5 1277.4 1238.6 1508.6 1423.4 1375.1 1344.1 1287.5 1446.9 1451 1604.4 1501.5 1522.8 1328 1420.5 1648 1631.1 1396.6 1663.4 1283 1582.4 1785.2 1853.6 1994.1 2042.8 1586.1 1942.4 1763.6 1819.9 1836 1449.9 1513.3 1677.7 1494.4 1375.3 1577.7 1537.7 1356.6 1469.6
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation