| Opgave9: Classical Decomposition (additief) Gemiddelede Prijs Zakje Frieten - Dave Florus | | R Software Module: rwasp_decompose.wasp (opens new window with default values) | | Title produced by software: Classical Decomposition | | Date of computation: Wed, 14 May 2008 14:03:36 -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/14/t12107956058c3mykrur45nbkd.htm/, Retrieved Wed, 14 May 2008 22:06:45 +0200 | | | | User-defined keywords: | | Classical Decomposition, additief, Gemiddelede Prijs, Zakje Frieten | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 1,72
1,73
1,73
1,73
1,73
1,73
1,74
1,74
1,74
1,74
1,75
1,75
1,75
1,75
1,75
1,76
1,77
1,77
1,78
1,78
1,78
1,79
1,8
1,8
1,82
1,83
1,85
1,86
1,86
1,87
1,88
1,88
1,89
1,9
1,9
1,9
1,9
1,92
1,92
1,93
1,93
1,93
1,94
1,94
1,95
1,96
1,96
1,96
1,96
1,97
1,97
1,98
1,99
1,99
1,99
2
2
2,01
2,01
2,01
2,02
2,02
2,02
2,02
2,03
2,03
2,03
2,04
2,04
2,05
2,06
2,06 | | | | Text written by user: | | Classical Decomposition (additief) Gemiddelede Prijs Zakje Frieten | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 1.72 | NA | NA | -0.00492187499999989 | NA | | 2 | 1.73 | NA | NA | -0.000234374999999875 | NA | | 3 | 1.73 | NA | NA | -0.000651041666666551 | NA | | 4 | 1.73 | NA | NA | 0.00382812500000021 | NA | | 5 | 1.73 | NA | NA | 0.0033072916666669 | NA | | 6 | 1.73 | NA | NA | 0.000390625000000167 | NA | | 7 | 1.74 | 1.739453125 | 1.73708333333333 | 0.00236979166666659 | 0.000546875000000391 | | 8 | 1.74 | 1.73841145833333 | 1.73916666666667 | -0.0007552083333334 | 0.00158854166666722 | | 9 | 1.74 | 1.739453125 | 1.74083333333333 | -0.00138020833333361 | 0.000546875000000613 | | 10 | 1.74 | 1.746015625 | 1.74291666666667 | 0.0030989583333332 | -0.00601562499999941 | | 11 | 1.75 | 1.746015625 | 1.74583333333333 | 0.000182291666666468 | 0.00398437500000060 | | 12 | 1.75 | 1.74393229166667 | 1.74916666666667 | -0.00523437500000021 | 0.00606770833333381 | | 13 | 1.75 | 1.747578125 | 1.7525 | -0.00492187499999989 | 0.00242187500000024 | | 14 | 1.75 | 1.75559895833333 | 1.75583333333333 | -0.000234374999999875 | -0.00559895833333313 | | 15 | 1.75 | 1.758515625 | 1.75916666666667 | -0.000651041666666551 | -0.0085156249999998 | | 16 | 1.76 | 1.76674479166667 | 1.76291666666667 | 0.00382812500000021 | -0.00674479166666653 | | 17 | 1.77 | 1.770390625 | 1.76708333333333 | 0.0033072916666669 | -0.000390624999999867 | | 18 | 1.77 | 1.771640625 | 1.77125 | 0.000390625000000167 | -0.00164062499999984 | | 19 | 1.78 | 1.77861979166667 | 1.77625 | 0.00236979166666659 | 0.00138020833333363 | | 20 | 1.78 | 1.78174479166667 | 1.7825 | -0.0007552083333334 | -0.00174479166666663 | | 21 | 1.78 | 1.78861979166667 | 1.79 | -0.00138020833333361 | -0.00861979166666638 | | 22 | 1.79 | 1.80143229166667 | 1.79833333333333 | 0.0030989583333332 | -0.0114322916666665 | | 23 | 1.8 | 1.80643229166667 | 1.80625 | 0.000182291666666468 | -0.00643229166666681 | | 24 | 1.8 | 1.80893229166667 | 1.81416666666667 | -0.00523437500000021 | -0.00893229166666676 | | 25 | 1.82 | 1.817578125 | 1.8225 | -0.00492187499999989 | 0.00242187500000024 | | 26 | 1.83 | 1.83059895833333 | 1.83083333333333 | -0.000234374999999875 | -0.000598958333333233 | | 27 | 1.85 | 1.83893229166667 | 1.83958333333333 | -0.000651041666666551 | 0.0110677083333333 | | 28 | 1.86 | 1.852578125 | 1.84875 | 0.00382812500000021 | 0.00742187499999991 | | 29 | 1.86 | 1.86080729166667 | 1.8575 | 0.0033072916666669 | -0.000807291666666599 | | 30 | 1.87 | 1.86622395833333 | 1.86583333333333 | 0.000390625000000167 | 0.00377604166666701 | | 31 | 1.88 | 1.875703125 | 1.87333333333333 | 0.00236979166666659 | 0.00429687499999987 | | 32 | 1.88 | 1.87966145833333 | 1.88041666666667 | -0.0007552083333334 | 0.000338541666666581 | | 33 | 1.89 | 1.885703125 | 1.88708333333333 | -0.00138020833333361 | 0.00429687500000009 | | 34 | 1.9 | 1.896015625 | 1.89291666666667 | 0.0030989583333332 | 0.00398437500000015 | | 35 | 1.9 | 1.89893229166667 | 1.89875 | 0.000182291666666468 | 0.00106770833333369 | | 36 | 1.9 | 1.89893229166667 | 1.90416666666667 | -0.00523437500000021 | 0.00106770833333369 | | 37 | 1.9 | 1.90424479166667 | 1.90916666666667 | -0.00492187499999989 | -0.00424479166666636 | | 38 | 1.92 | 1.91393229166667 | 1.91416666666667 | -0.000234374999999875 | 0.00606770833333359 | | 39 | 1.92 | 1.918515625 | 1.91916666666667 | -0.000651041666666551 | 0.00148437500000043 | | 40 | 1.93 | 1.92799479166667 | 1.92416666666667 | 0.00382812500000021 | 0.00200520833333329 | | 41 | 1.93 | 1.93247395833333 | 1.92916666666667 | 0.0033072916666669 | -0.00247395833333330 | | 42 | 1.93 | 1.93455729166667 | 1.93416666666667 | 0.000390625000000167 | -0.00455729166666674 | | 43 | 1.94 | 1.94153645833333 | 1.93916666666667 | 0.00236979166666659 | -0.00153645833333305 | | 44 | 1.94 | 1.94299479166667 | 1.94375 | -0.0007552083333334 | -0.00299479166666683 | | 45 | 1.95 | 1.94653645833333 | 1.94791666666667 | -0.00138020833333361 | 0.00346354166666685 | | 46 | 1.96 | 1.95518229166667 | 1.95208333333333 | 0.0030989583333332 | 0.00481770833333361 | | 47 | 1.96 | 1.95684895833333 | 1.95666666666667 | 0.000182291666666468 | 0.00315104166666691 | | 48 | 1.96 | 1.95643229166667 | 1.96166666666667 | -0.00523437500000021 | 0.00356770833333342 | | 49 | 1.96 | 1.961328125 | 1.96625 | -0.00492187499999989 | -0.00132812499999990 | | 50 | 1.97 | 1.97059895833333 | 1.97083333333333 | -0.000234374999999875 | -0.000598958333333677 | | 51 | 1.97 | 1.974765625 | 1.97541666666667 | -0.000651041666666551 | -0.00476562500000011 | | 52 | 1.98 | 1.98341145833333 | 1.97958333333333 | 0.00382812500000021 | -0.00341145833333312 | | 53 | 1.99 | 1.98705729166667 | 1.98375 | 0.0033072916666669 | 0.00294270833333332 | | 54 | 1.99 | 1.98830729166667 | 1.98791666666667 | 0.000390625000000167 | 0.00169270833333379 | | 55 | 1.99 | 1.99486979166667 | 1.9925 | 0.00236979166666659 | -0.00486979166666623 | | 56 | 2 | 1.996328125 | 1.99708333333333 | -0.0007552083333334 | 0.00367187500000066 | | 57 | 2 | 1.99986979166667 | 2.00125 | -0.00138020833333361 | 0.000130208333333215 | | 58 | 2.01 | 2.00809895833333 | 2.005 | 0.0030989583333332 | 0.00190104166666671 | | 59 | 2.01 | 2.008515625 | 2.00833333333333 | 0.000182291666666468 | 0.00148437499999998 | | 60 | 2.01 | 2.00643229166667 | 2.01166666666667 | -0.00523437500000021 | 0.0035677083333332 | | 61 | 2.02 | 2.010078125 | 2.015 | -0.00492187499999989 | 0.00992187499999986 | | 62 | 2.02 | 2.01809895833333 | 2.01833333333333 | -0.000234374999999875 | 0.00190104166666671 | | 63 | 2.02 | 2.021015625 | 2.02166666666667 | -0.000651041666666551 | -0.00101562500000041 | | 64 | 2.02 | 2.028828125 | 2.025 | 0.00382812500000021 | -0.0088281250000004 | | 65 | 2.03 | 2.03205729166667 | 2.02875 | 0.0033072916666669 | -0.00205729166666746 | | 66 | 2.03 | 2.03330729166667 | 2.03291666666667 | 0.000390625000000167 | -0.00330729166666721 | | 67 | 2.03 | NA | NA | 0.00236979166666659 | NA | | 68 | 2.04 | NA | NA | -0.0007552083333334 | NA | | 69 | 2.04 | NA | NA | -0.00138020833333361 | NA | | 70 | 2.05 | NA | NA | 0.0030989583333332 | NA | | 71 | 2.06 | NA | NA | 0.000182291666666468 | NA | | 72 | 2.06 | NA | NA | -0.00523437500000021 | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/14/t12107956058c3mykrur45nbkd/16bs91210795410.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/14/t12107956058c3mykrur45nbkd/16bs91210795410.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/14/t12107956058c3mykrur45nbkd/2wa791210795410.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/14/t12107956058c3mykrur45nbkd/2wa791210795410.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/14/t12107956058c3mykrur45nbkd/3fout1210795410.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/14/t12107956058c3mykrur45nbkd/3fout1210795410.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/14/t12107956058c3mykrur45nbkd/43kyl1210795410.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/14/t12107956058c3mykrur45nbkd/43kyl1210795410.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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