Home » date » 2010 » Nov » 29 »

Births

*The author of this computation has been verified*
R Software Module: /rwasp_variancereduction.wasp (opens new window with default values)
Title produced by software: Variance Reduction Matrix
Date of computation: Mon, 29 Nov 2010 09:39:41 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Nov/29/t129102351196sy6t3derfzie1.htm/, Retrieved Mon, 29 Nov 2010 10:38:31 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Nov/29/t129102351196sy6t3derfzie1.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
9700 9081 9084 9743 8587 9731 9563 9998 9437 10038 9918 9252 9737 9035 9133 9487 8700 9627 8947 9283 8829 9947 9628 9318 9605 8640 9214 9567 8547 9185 9470 9123 9278 10170 9434 9655 9429 8739 9552 9687 9019 9672 9206 9069 9788 10312 10105 9863 9656 9295 9946 9701 9049 10190 9706 9765 9893 9994 10433 10073 10112 9266 9820 10097 9115 10411 9678 10408 10153 10368 10581 10597 10680 9738 9556
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Variance Reduction Matrix
V(Y[t],d=0,D=0)253077.01009009Range2133Trim Var.167329.400271370
V(Y[t],d=1,D=0)356015.914846353Range2452Trim Var.248756.083916084
V(Y[t],d=2,D=0)1124286.31925419Range4329Trim Var.806446.190865385
V(Y[t],d=3,D=0)3882853.09154930Range8422Trim Var.2707041.76760913
V(Y[t],d=0,D=1)112127.332309268Range1411Trim Var.69543.1468013468
V(Y[t],d=1,D=1)156115.568746695Range1716Trim Var.102451.716631726
V(Y[t],d=2,D=1)447909.61147541Range2940Trim Var.301310.313497823
V(Y[t],d=3,D=1)1485820.16836158Range5842Trim Var.1045523.52061495
V(Y[t],d=0,D=2)199543.894117647Range1926Trim Var.128515.294949495
V(Y[t],d=1,D=2)355327.546530612Range3193Trim Var.191788.208773784
V(Y[t],d=2,D=2)990066.195578231Range4670Trim Var.569058.377630122
V(Y[t],d=3,D=2)3152189.71232270Range8239Trim Var.1705178.58536585
 
Charts produced by software:
 
Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
 
Parameters (R input):
par1 = 12 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
 
R code (references can be found in the software module):
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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