| Opdracht 9_Oefening 2_Evelien Verbist | | *Unverified author* | | R Software Module: rwasp_decompose.wasp (opens new window with default values) | | Title produced by software: Classical Decomposition | | Date of computation: Sun, 11 Jan 2009 04:05:22 -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/Jan/11/t1231671983ksa5mpgi7s2dkm5.htm/, Retrieved Sun, 11 Jan 2009 12:06:27 +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/Jan/11/t1231671983ksa5mpgi7s2dkm5.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 « | | 0,60773
0,58933
0,60039
0,61342
0,6348
0,634
0,62915
0,62168
0,61328
0,6089
0,60857
0,62672
0,62291
0,62393
0,61838
0,62012
0,61659
0,6116
0,61573
0,61407
0,62823
0,64405
0,6387
0,63633
0,63059
0,62994
0,63709
0,64217
0,65711
0,66977
0,68255
0,68902
0,71322
0,70224
0,70045
0,69919
0,69693
0,69763
0,69278
0,70196
0,69215
0,6769
0,67124
0,66532
0,67157
0,66428
0,66576
0,66942
0,6813
0,69144
0,69862
0,695
0,69867
0,68968
0,69233
0,68293
0,68399
0,66895
0,68756
0,68527
0,6776
0,68137
0,67933
0,67922
0,68598
0,68297
0,68935
0,69463
0,6833
0,68666
0,68782
0,67669
0,67511
0,67254
0,67397
0,67286
0,66341
0,668
0,68021
0,67934
0,68136
0,67562
0,6744
0,67766
0,68887
0,69614
0,70896
0,72064 | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 0.60773 | NA | NA | -0.00178281250000003 | NA | | 2 | 0.58933 | NA | NA | -0.0004694791666667 | NA | | 3 | 0.60039 | NA | NA | -0.00078934027777776 | NA | | 4 | 0.61342 | NA | NA | 0.000134548611111075 | NA | | 5 | 0.6348 | NA | NA | -0.000355937499999946 | NA | | 6 | 0.634 | NA | NA | -0.0036651736111111 | NA | | 7 | 0.62915 | 0.6172346875 | 0.616296666666667 | 0.000938020833333361 | 0.0119153125 | | 8 | 0.62168 | 0.617332673611111 | 0.618370833333333 | -0.00103815972222214 | 0.00434732638888868 | | 9 | 0.61328 | 0.6244534375 | 0.620562083333333 | 0.00389135416666663 | -0.0111734375 | | 10 | 0.6089 | 0.6208434375 | 0.621590833333333 | -0.000747395833333374 | -0.0119434375000000 | | 11 | 0.60857 | 0.625323020833333 | 0.62111125 | 0.00421177083333333 | -0.0167530208333333 | | 12 | 0.62672 | 0.619091770833333 | 0.619419166666667 | -0.000327395833333343 | 0.00762822916666672 | | 13 | 0.62291 | 0.616143854166667 | 0.617926666666667 | -0.00178281250000003 | 0.00676614583333324 | | 14 | 0.62393 | 0.6165809375 | 0.617050416666667 | -0.0004694791666667 | 0.00734906250000011 | | 15 | 0.61838 | 0.616566909722222 | 0.61735625 | -0.00078934027777776 | 0.00181309027777776 | | 16 | 0.62012 | 0.619578298611111 | 0.61944375 | 0.000134548611111075 | 0.000541701388888871 | | 17 | 0.61659 | 0.6218078125 | 0.62216375 | -0.000355937499999946 | -0.00521781250000009 | | 18 | 0.6116 | 0.620154409722222 | 0.623819583333333 | -0.0036651736111111 | -0.00855440972222221 | | 19 | 0.61573 | 0.625478020833333 | 0.62454 | 0.000938020833333361 | -0.00974802083333337 | | 20 | 0.61407 | 0.624072256944444 | 0.625110416666667 | -0.00103815972222214 | -0.0100022569444445 | | 21 | 0.62823 | 0.630031770833334 | 0.626140416666667 | 0.00389135416666663 | -0.00180177083333355 | | 22 | 0.64405 | 0.627091354166667 | 0.62783875 | -0.000747395833333374 | 0.0169586458333333 | | 23 | 0.6387 | 0.634657604166667 | 0.630445833333333 | 0.00421177083333333 | 0.00404239583333332 | | 24 | 0.63633 | 0.634230520833333 | 0.634557916666667 | -0.000327395833333343 | 0.00209947916666664 | | 25 | 0.63059 | 0.637983020833333 | 0.639765833333333 | -0.00178281250000003 | -0.00739302083333337 | | 26 | 0.62994 | 0.6452034375 | 0.645672916666667 | -0.0004694791666667 | -0.0152634374999999 | | 27 | 0.63709 | 0.651547743055555 | 0.652337083333333 | -0.00078934027777776 | -0.0144577430555554 | | 28 | 0.64217 | 0.658437465277778 | 0.658302916666667 | 0.000134548611111075 | -0.0162674652777777 | | 29 | 0.65711 | 0.662944479166667 | 0.663300416666667 | -0.000355937499999946 | -0.00583447916666668 | | 30 | 0.66977 | 0.664827326388889 | 0.6684925 | -0.0036651736111111 | 0.00494267361111123 | | 31 | 0.68255 | 0.674813854166667 | 0.673875833333333 | 0.000938020833333361 | 0.00773614583333337 | | 32 | 0.68902 | 0.678422256944444 | 0.679460416666667 | -0.00103815972222214 | 0.0105977430555555 | | 33 | 0.71322 | 0.688492604166667 | 0.68460125 | 0.00389135416666663 | 0.0247273958333333 | | 34 | 0.70224 | 0.688665520833333 | 0.689412916666667 | -0.000747395833333374 | 0.0135744791666665 | | 35 | 0.70045 | 0.6975759375 | 0.693364166666667 | 0.00421177083333333 | 0.00287406250000000 | | 36 | 0.69919 | 0.694793854166667 | 0.69512125 | -0.000327395833333343 | 0.00439614583333325 | | 37 | 0.69693 | 0.693164270833333 | 0.694947083333333 | -0.00178281250000003 | 0.00376572916666673 | | 38 | 0.69763 | 0.693018854166667 | 0.693488333333333 | -0.0004694791666667 | 0.00461114583333322 | | 39 | 0.69278 | 0.689976076388889 | 0.690765416666667 | -0.00078934027777776 | 0.00280392361111104 | | 40 | 0.70196 | 0.687582881944444 | 0.687448333333333 | 0.000134548611111075 | 0.0143771180555556 | | 41 | 0.69215 | 0.6840653125 | 0.68442125 | -0.000355937499999946 | 0.00808468750000002 | | 42 | 0.6769 | 0.678070243055556 | 0.681735416666667 | -0.0036651736111111 | -0.00117024305555558 | | 43 | 0.67124 | 0.680781770833333 | 0.67984375 | 0.000938020833333361 | -0.0095417708333333 | | 44 | 0.66532 | 0.677896423611111 | 0.678934583333333 | -0.00103815972222214 | -0.0125764236111111 | | 45 | 0.67157 | 0.682811354166667 | 0.67892 | 0.00389135416666663 | -0.0112413541666666 | | 46 | 0.66428 | 0.6781259375 | 0.678873333333333 | -0.000747395833333374 | -0.0138459374999998 | | 47 | 0.66576 | 0.683066770833333 | 0.678855 | 0.00421177083333333 | -0.0173067708333332 | | 48 | 0.66942 | 0.679331770833333 | 0.679659166666667 | -0.000327395833333343 | -0.00991177083333328 | | 49 | 0.6813 | 0.679287604166667 | 0.681070416666667 | -0.00178281250000003 | 0.00201239583333335 | | 50 | 0.69144 | 0.6822134375 | 0.682682916666667 | -0.0004694791666667 | 0.0092265625000001 | | 51 | 0.69862 | 0.683144826388889 | 0.683934166666667 | -0.00078934027777776 | 0.0154751736111113 | | 52 | 0.695 | 0.684780798611111 | 0.68464625 | 0.000134548611111075 | 0.0102192013888889 | | 53 | 0.69867 | 0.685393229166667 | 0.685749166666667 | -0.000355937499999946 | 0.0132767708333333 | | 54 | 0.68968 | 0.683652743055556 | 0.687317916666667 | -0.0036651736111111 | 0.00602725694444439 | | 55 | 0.69233 | 0.6887621875 | 0.687824166666667 | 0.000938020833333361 | 0.00356781249999993 | | 56 | 0.68293 | 0.686212256944445 | 0.687250416666667 | -0.00103815972222214 | -0.00328225694444451 | | 57 | 0.68399 | 0.6899184375 | 0.686027083333333 | 0.00389135416666663 | -0.00592843749999983 | | 58 | 0.66895 | 0.6838184375 | 0.684565833333333 | -0.000747395833333374 | -0.0148684374999999 | | 59 | 0.68756 | 0.687591354166667 | 0.683379583333333 | 0.00421177083333333 | -3.13541666668860e-05 | | 60 | 0.68527 | 0.682243854166667 | 0.68257125 | -0.000327395833333343 | 0.00302614583333327 | | 61 | 0.6776 | 0.6803846875 | 0.6821675 | -0.00178281250000003 | -0.00278468750000005 | | 62 | 0.68137 | 0.682061354166667 | 0.682530833333333 | -0.0004694791666667 | -0.000691354166666658 | | 63 | 0.67933 | 0.682200243055556 | 0.682989583333333 | -0.00078934027777776 | -0.00287024305555561 | | 64 | 0.67922 | 0.683833298611111 | 0.68369875 | 0.000134548611111075 | -0.00461329861111104 | | 65 | 0.68598 | 0.6840915625 | 0.6844475 | -0.000355937499999946 | 0.00188843750000012 | | 66 | 0.68297 | 0.680435659722222 | 0.684100833333333 | -0.0036651736111111 | 0.00253434027777766 | | 67 | 0.68935 | 0.684577604166667 | 0.683639583333333 | 0.000938020833333361 | 0.00477239583333333 | | 68 | 0.69463 | 0.682129756944445 | 0.683167916666667 | -0.00103815972222214 | 0.0125002430555554 | | 69 | 0.6833 | 0.686468020833333 | 0.682576666666667 | 0.00389135416666663 | -0.00316802083333334 | | 70 | 0.68666 | 0.6813409375 | 0.682088333333333 | -0.000747395833333374 | 0.00531906250000003 | | 71 | 0.68782 | 0.6850946875 | 0.680882916666667 | 0.00421177083333333 | 0.00272531249999997 | | 72 | 0.67669 | 0.678991354166667 | 0.67931875 | -0.000327395833333343 | -0.00230135416666666 | | 73 | 0.67511 | 0.676531354166667 | 0.678314166666667 | -0.00178281250000003 | -0.00142135416666667 | | 74 | 0.67254 | 0.676826770833333 | 0.67729625 | -0.0004694791666667 | -0.00428677083333329 | | 75 | 0.67397 | 0.675788993055556 | 0.676578333333333 | -0.00078934027777776 | -0.00181899305555566 | | 76 | 0.67286 | 0.676172048611111 | 0.6760375 | 0.000134548611111075 | -0.00331204861111123 | | 77 | 0.66341 | 0.674662395833333 | 0.675018333333333 | -0.000355937499999946 | -0.0112523958333333 | | 78 | 0.668 | 0.670834409722222 | 0.674499583333333 | -0.0036651736111111 | -0.00283440972222226 | | 79 | 0.68021 | 0.676051354166667 | 0.675113333333333 | 0.000938020833333361 | 0.00415864583333325 | | 80 | 0.67934 | 0.675631840277778 | 0.67667 | -0.00103815972222214 | 0.00370815972222227 | | 81 | 0.68136 | 0.683002604166667 | 0.67911125 | 0.00389135416666663 | -0.00164260416666662 | | 82 | 0.67562 | 0.681812604166667 | 0.68256 | -0.000747395833333374 | -0.00619260416666667 | | 83 | 0.6744 | NA | NA | 0.00421177083333333 | NA | | 84 | 0.67766 | NA | NA | -0.000327395833333343 | NA | | 85 | 0.68887 | NA | NA | NA | NA | | 86 | 0.69614 | NA | NA | NA | NA | | 87 | 0.70896 | NA | NA | NA | NA | | 88 | 0.72064 | NA | NA | NA | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jan/11/t1231671983ksa5mpgi7s2dkm5/19rme1231671917.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jan/11/t1231671983ksa5mpgi7s2dkm5/19rme1231671917.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jan/11/t1231671983ksa5mpgi7s2dkm5/2yo6l1231671918.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jan/11/t1231671983ksa5mpgi7s2dkm5/2yo6l1231671918.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jan/11/t1231671983ksa5mpgi7s2dkm5/37itu1231671918.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jan/11/t1231671983ksa5mpgi7s2dkm5/37itu1231671918.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jan/11/t1231671983ksa5mpgi7s2dkm5/4muu41231671918.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jan/11/t1231671983ksa5mpgi7s2dkm5/4muu41231671918.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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