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geboortes new york

*Unverified author*
R Software Module: /rwasp_decompose.wasp (opens new window with default values)
Title produced by software: Classical Decomposition
Date of computation: Wed, 26 May 2010 13:28:20 +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/May/26/t1274881692agg5tt4xu0t0ct6.htm/, Retrieved Wed, 26 May 2010 15:48:12 +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/2010/May/26/t1274881692agg5tt4xu0t0ct6.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:
KDGP2W52
 
Dataseries X:
» Textbox « » Textfile « » CSV «
26.663 23.598 26.931 24.740 25.806 24.364 24.477 23.901 23.175 23.227 21.672 21.870 21.439 21.089 23.709 21.669 21.752 20.761 23.479 23.824 23.105 23.110 21.759 22.073 21.937 20.035 23.590 21.672 22.222 22.123 23.950 23.504 22.238 23.142 21.059 21.573 21.548 20.000 22.424 20.615 21.761 22.874 24.104 23.748 23.262 22.907 21.519 22.025 22.604 20.894 24.677 23.673 25.320 23.583 24.671 24.454 24.122 24.252 22.084 22.991 23.287 23.049 25.076 24.037 24.430 24.667 26.451 25.618 25.014 25.110 22.964 23.981 23.798 22.270 24.775 22.646 23.988 24.737 26.276 25.816 25.210 25.199 23.162 24.707 24.364 22.644 25.565 24.062 25.431 24.635 27.009 26.606 26.268 26.462 25.246 25.180 24.657 23.304 26.982 26.199 27.210 26.122 26.706 26.878 26.152 26.379 24.712 25.688 24.990 24.239 26.721 23.475 24.767 26.219 28.361 28.599 27.914 27.784 25.693 26.881 26.217 24.218 27.914 26.975 28.527 27.139 28.982 28.169 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
126.663NANA0.972903320444247NA
223.598NANA0.916648826470544NA
326.931NANA1.03516373026991NA
424.74NANA0.96784233322079NA
525.806NANA1.00950358865227NA
624.364NANA0.993990710237626NA
724.47725.401872535732623.98433333333331.059102714371850.963590379629235
823.90124.781876265962423.6621251.047322515030340.964454819461259
923.17524.061616405561123.42333333333331.027249882121580.963152250845619
1023.22723.875773666116423.1611251.030855524769040.97282711441359
1121.67221.838135722605322.864250.9551214547866340.992392403604611
1221.8722.191144846090922.54520833333330.9842953996251660.985528243435916
1321.43921.747794373550522.35350.9729033204442470.98580111765605
1421.08920.449251313823722.30870833333330.9166488264705441.03128469968697
1523.70923.086825357988922.30258333333331.035163730269911.02694933722431
1621.66921.577843185338122.29479166666670.967842333220791.00422455635992
1721.75222.505410316268922.29354166666671.009503588652270.966523146848638
1820.76122.171584036044122.3056250.9939907102376260.936378743451484
1923.47923.654882608376222.33483333333331.059102714371850.992564638291042
2023.82423.36751084785222.31166666666671.047322515030341.01953520660032
2123.10522.869450115280522.26279166666671.027249882121581.01029976162663
2223.1122.944739317995822.25795833333331.030855524769041.00720255217171
2321.75921.277877395918422.27766666666670.9551214547866341.02261140033516
2422.07322.002939363221022.3540.9842953996251661.00318414897312
2521.93721.822586316309622.4303750.9729033204442471.00524290210299
2620.03520.566544169910822.43666666666670.9166488264705440.97415491073661
2723.5923.174426088663022.38720833333331.035163730269911.01793243594241
2821.67221.633615099790022.35241666666670.967842333220791.00177431742374
2922.22222.536746990166622.32458333333331.009503588652270.986034054058292
3022.12322.140728907747222.27458333333330.9939907102376260.999199262688187
3123.9523.551840740123822.23754166666671.059102714371851.01690565354401
3223.50423.271375368659922.2198751.047322515030341.00999617030171
3322.23822.773958678321722.16983333333331.027249882121580.976466160938816
3423.14222.758412181893822.07720833333331.030855524769041.01685477066855
3521.05921.026003908945722.01395833333330.9551214547866341.00156929919719
3621.57321.680131484452222.02604166666670.9842953996251660.995058540833618
3721.54821.465895636451722.063750.9729033204442471.00382487481253
382020.239911638078422.08033333333330.9166488264705440.988146606449255
3922.42422.911451369352322.13316666666671.035163730269910.978724552997792
4020.61521.453233484935922.16604166666670.967842333220790.960927405860542
4121.76122.386162704859322.17541666666671.009503588652270.972073699583912
4222.87422.079929809304322.21341666666670.9939907102376261.03596343817910
4324.10423.592836841025922.276251.059102714371851.02166603204262
4423.74823.415513129790922.35751.047322515030341.01419942703652
4523.26223.101437380326322.4886251.027249882121581.00695033027730
4622.90723.410643062877922.70991666666671.030855524769040.978486577172392
4721.51921.954063589180022.9856250.9551214547866340.980183004052405
4822.02522.799685476909223.16345833333330.9842953996251660.966022098081406
4922.60422.587531552008923.2166250.9729033204442471.00072909463140
5020.89421.330112642360723.26966666666670.9166488264705440.979554133179088
5124.67724.155459382204223.33491666666671.035163730269911.02159100390283
5223.67322.673440706544023.42679166666670.967842333220791.04408502910489
5325.3223.729769918706023.5063751.009503588652271.06701413822139
5423.58323.428526705419223.57016666666670.9939907102376261.00659338491588
5524.67125.035996677196923.6388751.059102714371850.985421124555057
5624.45424.881371904890323.7571251.047322515030340.98282361975361
5724.12224.513820364086723.86354166666671.027249882121580.984016348399914
5824.25224.632636382864523.89533333333331.030855524769040.984547476894137
5922.08422.802012457394123.87341666666670.9551214547866340.968511004950297
6022.99123.506450586148423.88150.9842953996251660.978071951600718
6123.28723.350490443429024.00083333333330.9729033204442470.997280980303914
6223.04922.112777965362224.12350.9166488264705441.04233850835496
6325.07625.060451273392724.20916666666671.035163730269911.00062044878752
6424.03723.50122818879524.28208333333330.967842333220791.02279760899732
6524.4324.585955149831724.35451.009503588652270.993656738211664
6624.66724.285595195321624.43241666666670.9939907102376261.01570498073491
6726.45125.942676859258724.49495833333331.059102714371851.01959408982731
6825.61825.642426265812324.48379166666671.047322515030340.99904742766698
6925.01425.104745858777124.43879166666671.027249882121580.996385310598738
7025.1125.120188093766824.36829166666671.030855524769040.9995944260557
7122.96423.201730786222324.29191666666670.9551214547866340.98975374775215
7223.98123.895165244383724.27641666666670.9842953996251661.00359213902639
7323.79823.614349931461124.27204166666670.9729033204442471.00777705374367
7422.2722.249816964919524.2730.9166488264705441.00090711016240
7524.77525.143523162746824.28941666666671.035163730269910.985343217004177
7622.64623.519818826945624.30129166666670.967842333220790.962847552807484
7723.98824.544313126799824.313251.009503588652270.977334337126251
7824.73724.205413278029124.351750.9939907102376261.02196148092433
7926.27625.848019554161724.40558333333331.059102714371851.01655757203918
8025.81625.60153704928824.444751.047322515030341.00837695605147
8125.2125.160688175274324.493251.027249882121581.00195987583417
8225.19925.343754885701024.58516666666671.030855524769040.994288340999435
8323.16223.5955989961424.70429166666670.9551214547866340.981623734315415
8424.70724.371318143952424.76016666666670.9842953996251661.01377364384088
8524.36424.114827614553024.78645833333330.9729033204442471.01033274587029
8622.64422.778646950390824.84991666666670.9166488264705440.994088896031267
8725.56525.803440040793924.92691666666671.035163730269910.99075937005233
8824.06224.218923605642125.0236250.967842333220790.993520620148224
8925.43125.402222926556125.16308333333331.009503588652271.00113285650343
9024.63525.117772501188525.2696250.9939907102376260.980779645123165
9127.00926.796931456959125.30154166666671.059102714371851.00791391146339
9226.60626.540461684012725.341251.047322515030341.00246937362159
9326.26826.120695992195325.42779166666671.027249882121581.00563935998676
9426.46226.365032044552425.5758751.030855524769041.00367790015516
9525.24624.583910921480525.73904166666670.9551214547866341.02693180432659
9625.1825.468766502226125.8751250.9842953996251660.988661936093337
9724.65725.221991593218525.92445833333330.9729033204442470.977599247421427
9823.30423.762440303400325.92316666666670.9166488264705440.980707355913495
9926.98226.841450471322025.92966666666671.035163730269911.00523628664658
10026.19925.087804060291125.9213750.967842333220791.04429227592174
10127.2126.141768430542925.89566666666671.009503588652271.04086301859399
10226.12225.738975278807425.89458333333330.9939907102376261.01488111772297
10326.70627.462136220144225.9296251.059102714371850.972466227168827
10426.87827.212013608337825.98245833333331.047322515030340.987725509286257
10526.15226.719325861001726.01054166666671.027249882121580.97876720902492
10626.37926.684897923425625.88616666666671.030855524769040.988536665034157
10724.71224.518803475645825.6708750.9551214547866341.00787952497544
10825.68825.171509291539325.5731250.9842953996251661.02051886132367
10924.9924.951200169028225.6461250.9729033204442471.00155502864427
11024.23923.637432319690425.78679166666670.9166488264705441.02544978964608
11126.72126.843779589715125.93191666666671.035163730269910.995426143725223
11223.47525.225721592775026.0638750.967842333220790.930597759658282
11324.76726.41193682845626.16329166666671.009503588652270.937719946888418
11426.21926.096107857739826.2538750.9939907102376261.00470921345551
11528.36127.912343132311726.35470833333331.059102714371851.01607378017537
11628.59927.654507370938126.40495833333331.047322515030341.03415329791969
11727.91427.174654371252126.45379166666671.027249882121581.02720717690268
11827.78427.471612498078526.64933333333331.030855524769041.01137128379135
11925.69325.742274262500226.95183333333330.9551214547866340.99808586211157
12026.88126.720503164391127.14683333333330.9842953996251661.00600650499062
12126.21726.473712790246827.21104166666670.9729033204442470.990303105866536
12224.21824.950264407701727.2190.9166488264705440.970651036167949
12327.91428.163699609453527.2071.035163730269910.991133991168914
12426.97526.392334545181127.269250.967842333220791.02207707142472
12528.52727.610427901433927.35051.009503588652271.03319659158627
12627.13927.215299981187827.37983333333330.9939907102376260.997196430638628
12728.98229.019149598110127.399751.059102714371850.998719824714901
12828.16928.740100796205227.44151.047322515030340.98012878241956
12928.05628.200363378550527.45229166666671.027249882121580.994880797221916
13029.13628.280017991065127.43354166666671.030855524769041.03026808572772
13126.29126.213188936437327.4448750.9551214547866341.00296839364914
13226.98727.03855361539527.46995833333330.9842953996251660.998093329394453
13326.58926.698615607822827.44220833333330.9729033204442470.995894333645125
13424.84825.118775016967927.40283333333330.9166488264705440.989220214091451
13527.54328.407998249797227.4431.035163730269910.969550890485452
13626.89626.574208250298827.45716666666670.967842333220791.01210917543320
13728.87827.705110925519527.44429166666671.009503588652271.04233475468240
13827.3927.324556126754827.489750.9939907102376261.00239505713987
13928.06529.171439742580827.54354166666671.059102714371850.96207113010724
14028.14128.873983524376627.56933333333331.047322515030340.97461439555932
14129.04828.38462632615627.63166666666671.027249882121581.02337087922953
14228.48428.532062166871127.67804166666671.030855524769040.99831550321915
14326.63426.385986326299127.62579166666670.9551214547866341.00939944676063
14427.73527.17848761137527.6121250.9842953996251661.02047620885248
14527.13226.936206706202927.68641666666670.9729033204442471.00726877752063
14624.92425.446782522040027.76066666666670.9166488264705440.979455849807842
14728.96328.735756965893927.7596251.035163730269911.00790802324699
14826.58926.819273994423127.7103750.967842333220790.991413861744693
14927.93127.920682004346327.65783333333331.009503588652271.00036954669130
15028.00927.415506276741527.581250.9939907102376261.02164810371428
15129.22929.115527945117927.490751.059102714371851.00389730370323
15228.75928.761396354010827.46183333333331.047322515030340.999916681583144
15328.40528.169888298714227.4226251.027249882121581.00834620637443
15427.94528.185394044354027.341751.030855524769040.991470970958374
15525.91226.028293341481527.25129166666670.9551214547866340.995532041230832
15626.61926.660215071164127.08558333333330.9842953996251660.998454060814812
15726.07626.237824272677426.96858333333330.9729033204442470.993832405042598
15825.28624.754216139940427.0051250.9166488264705441.02148255703406
15927.6628.045173362337627.09251.035163730269910.9862659660769
16025.95126.298816779733627.1726250.967842333220790.986774432376683
16126.39827.521170959137227.26208333333331.009503588652270.959188838265463
16225.56527.195917162338227.36033333333330.9939907102376260.940030808573107
16328.865NANA1.05910271437185NA
16430NANA1.04732251503034NA
16529.261NANA1.02724988212158NA
16629.012NANA1.03085552476904NA
16726.992NANA0.955121454786634NA
16827.897NANA0.984295399625166NA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/May/26/t1274881692agg5tt4xu0t0ct6/1arih1274880495.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/26/t1274881692agg5tt4xu0t0ct6/1arih1274880495.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/May/26/t1274881692agg5tt4xu0t0ct6/2arih1274880495.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/26/t1274881692agg5tt4xu0t0ct6/2arih1274880495.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/May/26/t1274881692agg5tt4xu0t0ct6/32izk1274880495.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/26/t1274881692agg5tt4xu0t0ct6/32izk1274880495.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/May/26/t1274881692agg5tt4xu0t0ct6/42izk1274880495.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/26/t1274881692agg5tt4xu0t0ct6/42izk1274880495.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

Creative Commons License

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.

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