verbetering workshop

*The author of this computation has been verified*

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

Title produced by software: Classical Decomposition

Date of computation: Sun, 06 Dec 2009 06:38:52 -0700

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9.htm/, Retrieved Sun, 06 Dec 2009 14:39:29 +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/2009/Dec/06/t1260106763hlos78kj9kuxkw9.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 «

3922 3759 4138 4634 3995 4308 4143 4429 5219 4929 5755 5592 4163 4962 5208 4755 4491 5732 5731 5040 6102 4904 5369 5578 4619 4731 5011 5299 4146 4625 4736 4219 5116 4205 4121 5103 4300 4578 3809 5526 4247 3830 4394 4826 4409 4569 4106 4794 3914 3793 4405 4022 4100 4788 3163 3585 3903 4178 3863 4187

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 'Gwilym Jenkins' @ 72.249.127.135 Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 3922 NA NA 0.897304195914187 NA 2 3759 NA NA 0.954638769538198 NA 3 4138 NA NA 0.979781268093018 NA 4 4634 NA NA 1.05020944347549 NA 5 3995 NA NA 0.917307086918369 NA 6 4308 NA NA 1.02844256976708 NA 7 4143 4564.15065449425 4578.625 0.996838713477136 0.90772639065287 8 4429 4528.84709251033 4638.79166666667 0.976298876505627 0.97795308817658 9 5219 5173.39800866018 4733.5 1.09293292672656 1.00881470771502 10 4929 4692.26767803032 4783.125 0.981004610590423 1.05045158081626 11 5755 4886.09142571097 4808.83333333333 1.01606587024801 1.17783305685128 12 5592 5422.57498188727 4888.83333333333 1.10917566874590 1.03124438457350 13 4163 4499.38233971237 5014.33333333333 0.897304195914187 0.925238107296773 14 4962 4874.34578064664 5105.95833333333 0.954638769538198 1.01798276595423 15 5208 5063.71371460224 5168.20833333333 0.979781268093018 1.02849416328212 16 4755 5465.24618511963 5203.95833333333 1.05020944347549 0.87004314882403 17 4491 4757.91897533109 5186.83333333333 0.917307086918369 0.94390005867796 18 5732 5317.21949279075 5170.16666666667 1.02844256976708 1.07800703126354 19 5731 5172.18073476891 5188.58333333333 0.996838713477136 1.10804325948522 20 5040 5074.76088095639 5197.95833333333 0.976298876505627 0.993150242588407 21 6102 5661.52917705943 5180.125 1.09293292672656 1.07780068055206 22 4904 5095.91020009617 5194.58333333333 0.981004610590423 0.96234034891499 23 5369 5286.46371466661 5202.875 1.01606587024801 1.01561275926370 24 5578 5703.79722956722 5142.375 1.10917566874590 0.977945003213804 25 4619 4535.68577197207 5054.79166666667 0.897304195914187 1.01836860669290 26 4731 4753.26576337688 4979.125 0.954638769538198 0.995315691466605 27 5011 4804.68404185015 4903.83333333333 0.979781268093018 1.04294058804966 28 5299 5076.31862121921 4833.625 1.05020944347549 1.04386670644549 29 4146 4359.50193057955 4752.5 0.917307086918369 0.951026072707539 30 4625 4813.83970666351 4680.70833333333 1.02844256976708 0.96077150088689 31 4736 4632.93252572417 4647.625 0.996838713477136 1.02224670307706 32 4219 4518.27052134819 4627.95833333333 0.976298876505627 0.933764364056075 33 5116 4996.34287453047 4571.5 1.09293292672656 1.02394894195102 34 4205 4444.80926500888 4530.875 0.981004610590423 0.94604734405664 35 4121 4617.55368342 4544.54166666667 1.01606587024801 0.892463906764538 36 5103 5008.62137918073 4515.625 1.10917566874590 1.01884323323212 37 4300 4009.37947339357 4468.25 0.897304195914187 1.07248516348602 38 4578 4276.10548506937 4479.29166666667 0.954638769538198 1.07060034322931 39 3809 4384.64364737477 4475.125 0.979781268093018 0.868713698610508 40 5526 4684.80929243691 4460.83333333333 1.05020944347549 1.17955708654376 41 4247 4105.29320411729 4475.375 0.917307086918369 1.03451806943791 42 3830 4588.78219097948 4461.875 1.02844256976708 0.834644103947432 43 4394 4418.90294695135 4432.91666666667 0.996838713477136 0.994364450351069 44 4826 4280.21631196023 4384.125 0.976298876505627 1.12751310874515 45 4409 4782.94772058711 4376.25 1.09293292672656 0.921816473348111 46 4569 4256.00675266234 4338.41666666667 0.981004610590423 1.07354152977832 47 4106 4338.22024125765 4269.625 1.01606587024801 0.946471080686689 48 4794 4773.24505914227 4303.41666666667 1.10917566874590 1.00434818254679 49 3914 3851.26699653852 4292.04166666667 0.897304195914187 1.01628892609052 50 3793 3999.02158221091 4189.04166666667 0.954638769538198 0.948482002916071 51 4405 4033.02464478788 4116.25 0.979781268093018 1.09223235362393 52 4022 4283.67304375608 4078.875 1.05020944347549 0.93891386175294 53 4100 3717.34874860807 4052.45833333333 0.917307086918369 1.10293660274280 54 4788 4131.29665452809 4017.04166666667 1.02844256976708 1.15895816746835 55 3163 NA NA 0.996838713477136 NA 56 3585 NA NA 0.976298876505627 NA 57 3903 NA NA 1.09293292672656 NA 58 4178 NA NA 0.981004610590423 NA 59 3863 NA NA 1.01606587024801 NA 60 4187 NA NA 1.10917566874590 NA

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9/142661260106729.png (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9/142661260106729.ps (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9/2tj0c1260106729.png (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9/2tj0c1260106729.ps (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9/3zbcm1260106729.png (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9/3zbcm1260106729.ps (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9/4cqb11260106729.png (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/06/t1260106763hlos78kj9kuxkw9/4cqb11260106729.ps (open in new window)

Parameters (Session):

par1 = multiplicative ; par2 = 12 ;

Parameters (R input):

par1 = multiplicative ; 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