Classical Decomposition inschrijvingen personenwagens_Jan De Cleermaecker

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

Title produced by software: Classical Decomposition

Date of computation: Sat, 31 May 2008 07:34:28 -0600

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7.htm/, Retrieved Sat, 31 May 2008 13:36:20 +0000

User-defined keywords:

Dataseries X:

» Textbox « » Textfile « » CSV «

41086 39690 43129 37863 35953 29133 24693 22205 21725 27192 21790 13253 37702 30364 32609 30212 29965 28352 25814 22414 20506 28806 22228 13971 36845 35338 35022 34777 26887 23970 22780 17351 21382 24561 17409 11514 31514 27071 29462 26105 22397 23843 21705 18089 20764 25316 17704 15548 28029 29383 36438 32034 22679 24319 18004 17537 20366 22782 19169 13807 29743 25591 29096 26482 22405 27044 17970 18730 19684 19785 18479 10698

Text written by user:

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 18 seconds R Server 'George Udny Yule' @ 72.249.76.132 Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 41086 NA NA 1.06339773298970 NA 2 39690 NA NA 1.10417243691564 NA 3 43129 39289.6869698895 39800.375 0.987168763356864 1.09771808650583 4 37863 31983.9391619245 37839.125 0.845261066737789 1.18381290710665 5 35953 36384.1534342427 34215 1.06339773298970 0.988149966577566 6 29133 33073.5530460435 29953.25 1.10417243691564 0.880854861872336 7 24693 25881.0970533086 26217.5 0.987168763356864 0.95409402272008 8 22205 20452.2537436876 24196.375 0.845261066737789 1.08569941866937 9 21725 25086.4829942435 23590.875 1.06339773298970 0.866004214500102 10 27192 24412.1484077679 22109 1.10417243691564 1.11387164889377 11 21790 22692.1717593797 22987.125 0.987168763356864 0.960243040245509 12 13253 21453.3598196051 25380.75 0.845261066737789 0.617758715252086 13 37702 28849.5817218608 27129.625 1.06339773298970 1.30684737004111 14 30364 33789.7468929379 30601.875 1.10417243691564 0.89861578709683 15 32609 31347.173892111 31754.625 0.987168763356864 1.04025326532567 16 30212 25810.8919339051 30536 0.845261066737789 1.17051359857555 17 29965 31301.2451952686 29435.125 1.06339773298970 0.957310158527797 18 28352 30487.3051556778 27611 1.10417243691564 0.929960842889384 19 25814 25127.2703063902 25453.875 0.987168763356864 1.02733005556259 20 22414 20563.7225468636 24328.25 0.845261066737789 1.08997774838285 21 20506 25454.2856851413 23936.75 1.06339773298970 0.805601078484406 22 28806 24770.0382988832 22433.125 1.10417243691564 1.16293724104975 23 22228 23119.6158339132 23420.125 0.987168763356864 0.961434660492701 24 13971 22212.6155728024 26279 0.845261066737789 0.628966901903548 25 36845 30513.9320987063 28694.75 1.06339773298970 1.20748122139140 26 35338 36321.4762692308 32894.75 1.10417243691564 0.972923009463028 27 35022 33811.2705215451 34250.75 0.987168763356864 1.03580845853407 28 34777 26697.5707929131 31585 0.845261066737789 1.30262787838479 29 26887 30449.0648369939 28633.75 1.06339773298970 0.883015624418579 30 23970 27521.7740332316 24925.25 1.10417243691564 0.870946762772524 31 22780 21775.8323547937 22058.875 0.987168763356864 1.04611385819129 32 17351 18126.3066032919 21444.625 0.845261066737789 0.95722754666684 33 21382 22168.785464353 20847.125 1.06339773298970 0.964509311273812 34 24561 21471.8752298162 19446.125 1.10417243691564 1.14386842029960 35 17409 19726.5933981602 19983 0.987168763356864 0.882514261262344 36 11514 18226.5756973336 21563.25 0.845261066737789 0.63171493050581 37 31514 24866.0938140814 23383.625 1.06339773298970 1.26734823071222 38 27071 29497.0005013191 26714.125 1.10417243691564 0.917754332302005 39 29462 27046.8199667376 27398.375 0.987168763356864 1.08929626611308 40 26105 21854.4361957722 25855.25 0.845261066737789 1.19449432445437 41 22397 26034.2362237706 24482.125 1.06339773298970 0.860290265767444 42 23843 24855.4736411896 22510.5 1.10417243691564 0.959265566377631 43 21705 21031.0135228409 21304.375 0.987168763356864 1.03204726564543 44 18089 17990.8535173471 21284.375 0.845261066737789 1.00545535444209 45 20764 22297.722439478 20968.375 1.06339773298970 0.931216183911118 46 25316 22249.7647116233 20150.625 1.10417243691564 1.13780978487269 47 17704 20474.9907168801 20741.125 0.987168763356864 0.864664616692809 48 15548 18728.9777438759 22157.625 0.845261066737789 0.830157428377743 49 28029 26593.1846571733 25007.75 1.06339773298970 1.05399185397825 50 29383 32473.9874127983 29410.25 1.10417243691564 0.904816511335467 51 36438 30407.019041109 30802.25 0.987168763356864 1.19834173651608 52 32034 24935.6240992981 29500.5 0.845261066737789 1.28466806655550 53 22679 28247.2998308388 26563.25 1.06339773298970 0.802873199768297 54 24319 24785.2206698908 22446.875 1.10417243691564 0.981189569538222 55 18004 20084.5654709725 20345.625 0.987168763356864 0.896409734431174 56 17537 16790.5828025795 19864.375 0.845261066737789 1.04445451394968 57 20366 21074.2833476733 19817.875 1.06339773298970 0.966391106355152 58 22782 21528.3260456535 19497.25 1.10417243691564 1.05823369414268 59 19169 19943.8939221942 20203.125 0.987168763356864 0.961146307475501 60 13807 18364.4589088452 21726.375 0.845261066737789 0.751832660495642 61 29743 24796.7071120038 23318.375 1.06339773298970 1.19947377954881 62 25591 28867.0701260587 26143.625 1.10417243691564 0.88651185895373 63 29096 26466.7349221701 26810.75 0.987168763356864 1.09934225304186 64 26482 22040.2879728212 26075.125 0.845261066737789 1.20152695067578 65 22405 26442.448028522 24866 1.06339773298970 0.84731186673159 66 27044 24850.7809083327 22506.25 1.10417243691564 1.08825554012799 67 17970 20925.1396729709 21197.125 0.987168763356864 0.858775629737466 68 18730 16862.6413085189 19949.625 0.845261066737789 1.110739394696 69 19684 20317.1441617847 19105.875 1.06339773298970 0.968836950865586 70 19785 20057.8444027911 18165.5 1.10417243691564 0.986397122377062 71 18479 NA NA 0.987168763356864 NA 72 10698 NA NA 0.845261066737789 NA

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7/16lg81212240850.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7/16lg81212240850.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7/2ev311212240850.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7/2ev311212240850.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7/3x0md1212240850.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7/3x0md1212240850.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7/43bpp1212240850.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/31/t12122409756kh8f8h7a1jbkc7/43bpp1212240850.ps (open in new window)

Parameters (Session):

par1 = multiplicative ; par2 = 4 ;

Parameters (R input):

par1 = multiplicative ; par2 = 4 ;

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