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Paper - werkloosheid Brussel - VRM

*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: Fri, 12 Dec 2008 05:45:58 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/12/t1229086018m74vcvmf1692bcf.htm/, Retrieved Fri, 12 Dec 2008 13:46:58 +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/2008/Dec/12/t1229086018m74vcvmf1692bcf.htm/},
    year = {2008},
}
@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 = {2008},
    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 «
51.220 50.487 49.415 49.398 48.196 47.348 49.331 49.644 49.588 49.567 49.010 49.563 49.741 49.487 48.278 47.478 46.985 45.216 46.581 49.266 48.121 46.412 46.285 46.824 46.949 45.355 44.924 45.059 44.202 44.149 46.151 47.703 48.436 47.089 47.492 49.295 49.127 50.041 48.857 48.428 48.788 48.820 50.743 52.590 51.959 53.451 55.674 56.120 55.685 56.714 54.882 55.173 53.574 53.954 58.055 61.062 58.353 59.693 58.833 60.417 61.696 62.515 62.687 61.794 63.014 63.134 68.057 67.327 68.310 69.780 69.944 69.881 71.397 70.631 70.452 69.862 69.114 69.358 71.133 73.128 73.528 73.677 72.273 71.962 73.654 73.305 73.355 73.346 72.881 72.424 74.540 74.847 75.904 76.870 76.370 77.631 78.335 77.926 77.236 76.755 74.710 73.486 76.034 76.389 77.767 78.124 76.696 77.375 77.431 77.347 77.013 76.666 75.225 75.579 77.100 78.592 79.502 78.528 77.775 77.271 78.738 77.885 76.896 75.813 74.958 75.340 77.187 78.602 81.653 78.125 76.092 74.870 75.615 74.776 72.528 71.894 71.641 71.145 73.320 72.186 72.854 74.243 74.628 72.368 75.361 72.746 70.536 69.410 66.219 66.739 67.626 70.602 71.758 71.786 69.641 68.055 70.148 69.390 68.562 68.622 68.120 68.308 70.421 69.766 72.157 72.928 75.340 74.812 74.593 76.003 75.112 75.452 75.634 75.653 78.645 73.100 79.699 82.848 81.834 81.736 82.267 84.120 83.819 82.734 81.842 81.735 83.227 81.934 89.521 88.827 85.874 85.211 87.130 88.620 89.563 89.056 88.542 89.504 89.428 86.040 96.240 94.423 93.028 92.285 91.685 94.260 93.858 92.437 92.980 92.099 92.803 88.551 98.334 98.329 96.455 97.109 97.687 98.512 98.673 96.028 98.014 95.580 97.838 97.760 99.913 97.588 93.942 93.656 93.365 92.881 93.120 91.063 90.930 91.946 94.624 95.484 95.862 95.530 94.574 94.677 93.845 91.533 91.214 90.922 89.563 89.945 91.850 92.505 92.437 93.876
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Variance Reduction Matrix
V(Y[t],d=0,D=0)243.265042877125Range55.764Trim Var.192.194505710742
V(Y[t],d=1,D=0)3.32801942414820Range15.745Trim Var.1.27876324372803
V(Y[t],d=2,D=0)7.72461622463105Range26.052Trim Var.2.33923561175655
V(Y[t],d=3,D=0)23.8551728275567Range46.286Trim Var.6.99106593879062
V(Y[t],d=0,D=1)17.7906607125483Range19.91Trim Var.12.9813623544601
V(Y[t],d=1,D=1)2.74025471093471Range12.547Trim Var.1.37830142231376
V(Y[t],d=2,D=1)6.47902263339344Range20.9020000000000Trim Var.3.44602157819905
V(Y[t],d=3,D=1)20.1777438217130Range31.5380000000001Trim Var.11.2177837804107
V(Y[t],d=0,D=2)19.1870447145133Range23.1880000000000Trim Var.11.1705949368997
V(Y[t],d=1,D=2)7.29045991242064Range17.125Trim Var.3.67762788945274
V(Y[t],d=2,D=2)16.7362899428051Range24.3570000000000Trim Var.8.64047964761308
V(Y[t],d=3,D=2)51.8452575390458Range42.6259999999999Trim Var.30.268373606619
 
Charts produced by software:
 
Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
 
Parameters (R input):
par1 = 12 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
 
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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