Ken soltvedt Sigaretten O9

*Unverified author*

R Software Module: rwasp_decompose.wasp (opens new window with default values)

Title produced by software: Classical Decomposition

Date of computation: Mon, 01 Jun 2009 11:57:49 -0600

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm.htm/, Retrieved Mon, 01 Jun 2009 19:58:37 +0200

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/2009/Jun/01/t1243879117a43nc9sy3245lhm.htm/}, year = {2009}, } @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 = {2009}, 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 «

3,42 3,42 3,43 3,47 3,51 3,52 3,52 3,52 3,52 3,52 3,52 3,52 3,52 3,52 3,58 3,6 3,61 3,61 3,61 3,63 3,68 3,69 3,69 3,69 3,69 3,69 3,69 3,69 3,69 3,78 3,79 3,79 3,8 3,8 3,8 3,8 3,81 3,95 3,99 4 4,06 4,16 4,19 4,2 4,2 4,2 4,2 4,2 4,23 4,38 4,43 4,44 4,44 4,44 4,44 4,44 4,45 4,45 4,45 4,45 4,45 4,45 4,45 4,45 4,46 4,46 4,46 4,48 4,58 4,67 4,68 4,68

Output produced by software:

Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 3.42 NA NA -0.041236111111111 NA 2 3.42 NA NA 0.000930555555555657 NA 3 3.43 NA NA 0.0140972222222223 NA 4 3.47 NA NA 0.00368055555555555 NA 5 3.51 NA NA 0.000430555555555579 NA 6 3.52 NA NA 0.0190972222222221 NA 7 3.52 3.52218055555556 3.495 0.0271805555555557 -0.00218055555555630 8 3.52 3.51934722222222 3.50333333333333 0.0160138888888888 0.000652777777777391 9 3.52 3.52668055555556 3.51375 0.0129305555555556 -0.00668055555555647 10 3.52 3.52368055555556 3.52541666666667 -0.00173611111111107 -0.00368055555555635 11 3.52 3.51718055555556 3.535 -0.0178194444444446 0.0028194444444436 12 3.52 3.50934722222222 3.54291666666667 -0.0335694444444446 0.0106527777777776 13 3.52 3.50918055555556 3.55041666666667 -0.041236111111111 0.0108194444444440 14 3.52 3.55968055555556 3.55875 0.000930555555555657 -0.0396805555555559 15 3.58 3.58409722222222 3.57 0.0140972222222223 -0.00409722222222264 16 3.6 3.58743055555556 3.58375 0.00368055555555555 0.0125694444444444 17 3.61 3.59834722222222 3.59791666666667 0.000430555555555579 0.0116527777777780 18 3.61 3.63118055555556 3.61208333333333 0.0190972222222221 -0.0211805555555555 19 3.61 3.65343055555556 3.62625 0.0271805555555557 -0.0434305555555556 20 3.63 3.65643055555556 3.64041666666667 0.0160138888888888 -0.0264305555555553 21 3.68 3.66501388888889 3.65208333333333 0.0129305555555556 0.0149861111111109 22 3.69 3.65868055555556 3.66041666666667 -0.00173611111111107 0.0313194444444442 23 3.69 3.64968055555556 3.6675 -0.0178194444444446 0.0403194444444441 24 3.69 3.64434722222222 3.67791666666667 -0.0335694444444446 0.0456527777777773 25 3.69 3.65126388888889 3.6925 -0.041236111111111 0.0387361111111102 26 3.69 3.70759722222222 3.70666666666667 0.000930555555555657 -0.0175972222222232 27 3.69 3.73243055555556 3.71833333333333 0.0140972222222223 -0.0424305555555566 28 3.69 3.73159722222222 3.72791666666667 0.00368055555555555 -0.0415972222222227 29 3.69 3.73751388888889 3.73708333333333 0.000430555555555579 -0.0475138888888895 30 3.78 3.76534722222222 3.74625 0.0190972222222221 0.0146527777777767 31 3.79 3.78301388888889 3.75583333333333 0.0271805555555557 0.00698611111111047 32 3.79 3.78768055555556 3.77166666666667 0.0160138888888888 0.00231944444444432 33 3.8 3.80793055555556 3.795 0.0129305555555556 -0.00793055555555622 34 3.8 3.81868055555556 3.82041666666667 -0.00173611111111107 -0.0186805555555556 35 3.8 3.83093055555556 3.84875 -0.0178194444444446 -0.0309305555555555 36 3.8 3.84643055555555 3.88 -0.0335694444444446 -0.0464305555555544 37 3.81 3.87126388888889 3.9125 -0.041236111111111 -0.0612638888888877 38 3.95 3.94718055555555 3.94625 0.000930555555555657 0.00281944444444582 39 3.99 3.99409722222222 3.98 0.0140972222222223 -0.00409722222222086 40 4 4.01701388888889 4.01333333333333 0.00368055555555555 -0.0170138888888882 41 4.06 4.04709722222222 4.04666666666667 0.000430555555555579 0.0129027777777777 42 4.16 4.09909722222222 4.08 0.0190972222222221 0.0609027777777778 43 4.19 4.14134722222222 4.11416666666667 0.0271805555555557 0.0486527777777779 44 4.2 4.16559722222222 4.14958333333333 0.0160138888888888 0.0344027777777773 45 4.2 4.19876388888889 4.18583333333333 0.0129305555555556 0.00123611111111188 46 4.2 4.22076388888889 4.2225 -0.00173611111111107 -0.0207638888888892 47 4.2 4.23884722222222 4.25666666666667 -0.0178194444444446 -0.0388472222222225 48 4.2 4.25059722222222 4.28416666666667 -0.0335694444444446 -0.0505972222222226 49 4.23 4.26501388888889 4.30625 -0.041236111111111 -0.0350138888888889 50 4.38 4.32759722222222 4.32666666666667 0.000930555555555657 0.0524027777777771 51 4.43 4.36118055555556 4.34708333333333 0.0140972222222223 0.0688194444444443 52 4.44 4.37159722222222 4.36791666666667 0.00368055555555555 0.068402777777778 53 4.44 4.38918055555556 4.38875 0.000430555555555579 0.0508194444444445 54 4.44 4.42868055555556 4.40958333333333 0.0190972222222221 0.0113194444444442 55 4.44 4.45634722222222 4.42916666666667 0.0271805555555557 -0.0163472222222225 56 4.44 4.45726388888889 4.44125 0.0160138888888888 -0.0172638888888894 57 4.45 4.45793055555556 4.445 0.0129305555555556 -0.00793055555555533 58 4.45 4.44451388888889 4.44625 -0.00173611111111107 0.00548611111111086 59 4.45 4.42968055555556 4.4475 -0.0178194444444446 0.0203194444444437 60 4.45 4.41559722222222 4.44916666666667 -0.0335694444444446 0.0344027777777773 61 4.45 4.40959722222222 4.45083333333333 -0.041236111111111 0.0404027777777767 62 4.45 4.45426388888889 4.45333333333333 0.000930555555555657 -0.00426388888888951 63 4.45 4.47451388888889 4.46041666666667 0.0140972222222223 -0.0245138888888903 64 4.45 4.47868055555556 4.475 0.00368055555555555 -0.0286805555555567 65 4.46 4.49418055555556 4.49375 0.000430555555555579 -0.0341805555555572 66 4.46 4.53201388888889 4.51291666666667 0.0190972222222221 -0.0720138888888897 67 4.46 NA NA 0.0271805555555557 NA 68 4.48 NA NA 0.0160138888888888 NA 69 4.58 NA NA 0.0129305555555556 NA 70 4.67 NA NA -0.00173611111111107 NA 71 4.68 NA NA -0.0178194444444446 NA 72 4.68 NA NA -0.0335694444444446 NA

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm/141gi1243879065.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm/141gi1243879065.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm/2hu891243879065.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm/2hu891243879065.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm/3wxbp1243879065.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm/3wxbp1243879065.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm/4zpmo1243879065.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243879117a43nc9sy3245lhm/4zpmo1243879065.ps (open in new window)

Parameters (Session):

par1 = additive ; par2 = 12 ;

Parameters (R input):

par1 = additive ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- as.numeric(par2) x <- ts(x,freq=par2) m <- decompose(x,type=par1) m$figure bitmap(file='test1.png') plot(m) dev.off() mylagmax <- length(x)/2 bitmap(file='test2.png') op <- par(mfrow = c(2,2)) acf(as.numeric(x),lag.max = mylagmax,main='Observed') acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend') acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal') acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random') par(op) dev.off() bitmap(file='test3.png') op <- par(mfrow = c(2,2)) spectrum(as.numeric(x),main='Observed') spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend') spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal') spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random') par(op) dev.off() bitmap(file='test4.png') op <- par(mfrow = c(2,2)) cpgram(as.numeric(x),main='Observed') cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend') cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal') cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random') par(op) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'t',header=TRUE) a<-table.element(a,'Observations',header=TRUE) a<-table.element(a,'Fit',header=TRUE) a<-table.element(a,'Trend',header=TRUE) a<-table.element(a,'Seasonal',header=TRUE) a<-table.element(a,'Random',header=TRUE) a<-table.row.end(a) for (i in 1:length(m$trend)) { a<-table.row.start(a) a<-table.element(a,i,header=TRUE) a<-table.element(a,x[i]) if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i]) a<-table.element(a,m$trend[i]) a<-table.element(a,m$seasonal[i]) a<-table.element(a,m$random[i]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')

Copyright

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

Disclaimer

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. However, we make no warranties or representations as to the accuracy or completeness of such information (or software), and we assume no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall we be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.

Privacy Policy

We may request personal information to be submitted to our servers in order to be able to:

• personalize online software applications according to your needs
• enforce strict security rules with respect to the data that you upload (e.g. statistical data)
• manage user sessions of online applications
• alert you about important changes or upgrades in resources or applications

We NEVER allow other companies to directly offer registered users information about their products and services. Banner references and hyperlinks of third parties NEVER contain any personal data of the visitor.

We do NOT sell, nor transmit by any means, personal information, nor statistical data series uploaded by you to third parties.

We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.

FreeStatistics.org is powered by