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Gabriels Wim Opg 9 oef 2 Aantal kinderen

*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 10:00:17 -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/t1243872085emjgh2oboewh412.htm/, Retrieved Mon, 01 Jun 2009 18:01:25 +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/t1243872085emjgh2oboewh412.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 «
374 572 402 589 507 628 698 451 694 0 488 526 343 494 447 0 470 366 517 483 485 530 308 481 437 468 502 408 479 436 410 451 344 411 0 427 454 365 499 416 430 470 325 452 442 488 446 523 594 439 588 503 444 525 375 472 436 458 514 0 472 360 450 549 361 466 387 457 470 396 471 422 404 414 342 459 379 0 410 319 411 371 365 429 333 392 469 432 534 379 436 448 358 492 387 529 475 439 459 361 0 0 394 425 341 455 403 471 523 389 531 468 398 446 355 435 353 0 400 332 389 355 384 406 356 336 351 278 265 229 387 435 317 490 472 440 429 350 489 494 436 436 375 429 0 434 472 362 440 433 400 442 316 432 401 434 488 377 484 377 0 0 300 389 337 376 377 331 339 356 280 249 196 268 379 401 404 397 419 421 407 296 468 475 422 456 339 446 419 346 327 326 403 359 358 421 322 367 394 356 418 344 372 358 373 379 0 348 369 341 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1374NANA4.96908068783068NA
2572NANA-4.36028439153438NA
3402NANA35.802414021164NA
4589NANA5.47106481481482NA
5507NANA-18.6559193121693NA
6628NANA-40.1678240740741NA
7698492.592096560847492.791666666667-0.199570105820100205.407903439153
8451513.062334656085488.2524.8123346560847-62.0623346560846
9694499.913525132275486.87513.0385251322751194.086474867725
100445.818287037037464.208333333333-18.3900462962963-445.818287037037
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233408312.719080687831331.375-18.655919312169395.2809193121693
234322283.332175925926323.5-40.167824074074138.6678240740741
2350317.758763227513317.958333333333-0.199570105820100-317.758763227513
236324339.645667989418314.83333333333324.8123346560847-15.6456679894180
237303320.705191798942307.66666666666713.0385251322751-17.7051917989418
238369286.984953703704305.375-18.390046296296382.0150462962963
239328291.133763227513303.291666666667-12.157903439153436.8662367724867
240258315.088128306878305.259.8381283068783-57.0881283068784
241372327.177414021164322.2083333333334.9690806878306844.8225859788359
242298332.098048941799336.458333333333-4.36028439153438-34.0980489417989
243376374.885747354497339.08333333333335.8024140211641.11425264550269
244306344.887731481482339.4166666666675.47106481481482-38.8877314814815
245359319.344080687831338-18.655919312169339.6559193121693
246418298.790509259259338.958333333333-40.1678240740741119.209490740741
247311338.80042989418339-0.199570105820100-27.8004298941798
248355350.062334656085325.2524.81233465608474.93766534391534
249335325.03852513227531213.03852513227519.96147486772486
250345297.484953703704315.875-18.390046296296347.5150462962963
251318305.80042989418317.958333333333-12.157903439153412.1995701058201
252291322.796461640212312.9583333333339.8381283068783-31.7964616402116
253340318.052414021164313.0833333333334.9690806878306821.947585978836
2540312.764715608466317.125-4.36028439153438-312.764715608466
255356356.469080687831320.66666666666735.802414021164-0.469080687830626
256419325.679398148148320.2083333333335.4710648148148293.3206018518518
257296300.927414021164319.583333333333-18.6559193121693-4.927414021164
258361284.040509259259324.208333333333-40.167824074074176.9594907407408
259371NANA-0.199570105820100NA
260392NANA24.8123346560847NA
261383NANA13.0385251322751NA
262286NANA-18.3900462962963NA
263362NANA-12.1579034391534NA
264358NANA9.8381283068783NA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243872085emjgh2oboewh412/1dd791243872011.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243872085emjgh2oboewh412/1dd791243872011.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243872085emjgh2oboewh412/2jwqa1243872011.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243872085emjgh2oboewh412/2jwqa1243872011.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243872085emjgh2oboewh412/30d991243872011.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243872085emjgh2oboewh412/30d991243872011.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243872085emjgh2oboewh412/4s21o1243872011.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/01/t1243872085emjgh2oboewh412/4s21o1243872011.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')
 




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Software written by Ed van Stee & Patrick Wessa


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