| Classical decomposition prijs roze zalm - Kenis Lotte | | *Unverified author* | | R Software Module: rwasp_decompose.wasp (opens new window with default values) | | Title produced by software: Classical Decomposition | | Date of computation: Thu, 06 Aug 2009 06:26:35 -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/Aug/06/t1249565860wormor4ys93a3mf.htm/, Retrieved Thu, 06 Aug 2009 15:37:46 +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/Aug/06/t1249565860wormor4ys93a3mf.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 « | | 11,73
11,74
11,65
11,38
11,53
11,75
11,82
11,83
11,63
11,55
11,4
11,4
11,63
11,46
11,35
11,7
11,52
11,64
11,9
11,73
11,7
11,54
11,97
11,64
11,98
11,79
11,66
11,96
11,83
12,36
12,53
12,55
12,53
12,24
12,34
12,05
12,22
12,23
11,92
12,13
12,1
12,15
12,23
12,08
12,02
11,93
12,16
11,87
11,93
11,79
11,43
11,63
11,93
11,89
11,83
11,59
12,04
11,81
11,9
11,72
11,91
11,94
11,91
11,84
12,01
11,89
11,8
11,7
11,5
11,76
11,61
11,27
11,64
11,39
11,54
11,62
11,59
11,44
11,31
11,56
11,4
11,51
11,5
11,24
11,8
| | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 11.73 | NA | NA | 0.0494907407407408 | NA | | 2 | 11.74 | NA | NA | -0.0634259259259256 | NA | | 3 | 11.65 | NA | NA | -0.19162037037037 | NA | | 4 | 11.38 | NA | NA | -0.0114120370370364 | NA | | 5 | 11.53 | NA | NA | 0.00483796296296278 | NA | | 6 | 11.75 | NA | NA | 0.0702546296296298 | NA | | 7 | 11.82 | 11.7218518518519 | 11.6133333333333 | 0.108518518518518 | 0.0981481481481463 | | 8 | 11.83 | 11.6633796296296 | 11.5975 | 0.0658796296296293 | 0.166620370370369 | | 9 | 11.63 | 11.6660185185185 | 11.5733333333333 | 0.092685185185185 | -0.0360185185185209 | | 10 | 11.55 | 11.5517824074074 | 11.5741666666667 | -0.0223842592592598 | -0.00178240740740598 | | 11 | 11.4 | 11.6679629629630 | 11.5870833333333 | 0.0808796296296293 | -0.267962962962962 | | 12 | 11.4 | 11.3983796296296 | 11.5820833333333 | -0.183703703703703 | 0.00162037037036988 | | 13 | 11.63 | 11.6303240740741 | 11.5808333333333 | 0.0494907407407408 | -0.000324074074072200 | | 14 | 11.46 | 11.5165740740741 | 11.58 | -0.0634259259259256 | -0.0565740740740708 | | 15 | 11.35 | 11.3871296296296 | 11.57875 | -0.19162037037037 | -0.0371296296296286 | | 16 | 11.7 | 11.5698379629630 | 11.58125 | -0.0114120370370364 | 0.130162037037039 | | 17 | 11.52 | 11.6094212962963 | 11.6045833333333 | 0.00483796296296278 | -0.089421296296294 | | 18 | 11.64 | 11.7085879629630 | 11.6383333333333 | 0.0702546296296298 | -0.0685879629629618 | | 19 | 11.9 | 11.7714351851852 | 11.6629166666667 | 0.108518518518518 | 0.128564814814816 | | 20 | 11.73 | 11.7571296296296 | 11.69125 | 0.0658796296296293 | -0.0271296296296288 | | 21 | 11.7 | 11.8106018518519 | 11.7179166666667 | 0.092685185185185 | -0.110601851851852 | | 22 | 11.54 | 11.7192824074074 | 11.7416666666667 | -0.0223842592592598 | -0.179282407407408 | | 23 | 11.97 | 11.8462962962963 | 11.7654166666667 | 0.0808796296296293 | 0.123703703703702 | | 24 | 11.64 | 11.6246296296296 | 11.8083333333333 | -0.183703703703703 | 0.0153703703703734 | | 25 | 11.98 | 11.9140740740741 | 11.8645833333333 | 0.0494907407407408 | 0.0659259259259279 | | 26 | 11.79 | 11.8615740740741 | 11.925 | -0.0634259259259256 | -0.0715740740740749 | | 27 | 11.66 | 11.8021296296296 | 11.99375 | -0.19162037037037 | -0.142129629629631 | | 28 | 11.96 | 12.0460879629630 | 12.0575 | -0.0114120370370364 | -0.0860879629629636 | | 29 | 11.83 | 12.1069212962963 | 12.1020833333333 | 0.00483796296296278 | -0.276921296296296 | | 30 | 12.36 | 12.2048379629630 | 12.1345833333333 | 0.0702546296296298 | 0.155162037037037 | | 31 | 12.53 | 12.2701851851852 | 12.1616666666667 | 0.108518518518518 | 0.259814814814813 | | 32 | 12.55 | 12.2558796296296 | 12.19 | 0.0658796296296293 | 0.294120370370370 | | 33 | 12.53 | 12.3118518518519 | 12.2191666666667 | 0.092685185185185 | 0.218148148148149 | | 34 | 12.24 | 12.2146990740741 | 12.2370833333333 | -0.0223842592592598 | 0.0253009259259276 | | 35 | 12.34 | 12.3362962962963 | 12.2554166666667 | 0.0808796296296293 | 0.00370370370370665 | | 36 | 12.05 | 12.0742129629630 | 12.2579166666667 | -0.183703703703703 | -0.0242129629629630 | | 37 | 12.22 | 12.2861574074074 | 12.2366666666667 | 0.0494907407407408 | -0.066157407407406 | | 38 | 12.23 | 12.1411574074074 | 12.2045833333333 | -0.0634259259259256 | 0.0888425925925933 | | 39 | 11.92 | 11.9721296296296 | 12.16375 | -0.19162037037037 | -0.0521296296296292 | | 40 | 12.13 | 12.1181712962963 | 12.1295833333333 | -0.0114120370370364 | 0.0118287037037064 | | 41 | 12.1 | 12.1140046296296 | 12.1091666666667 | 0.00483796296296278 | -0.0140046296296283 | | 42 | 12.15 | 12.1644212962963 | 12.0941666666667 | 0.0702546296296298 | -0.0144212962962982 | | 43 | 12.23 | 12.1831018518519 | 12.0745833333333 | 0.108518518518518 | 0.0468981481481485 | | 44 | 12.08 | 12.1100462962963 | 12.0441666666667 | 0.0658796296296293 | -0.0300462962962946 | | 45 | 12.02 | 12.0981018518519 | 12.0054166666667 | 0.092685185185185 | -0.0781018518518515 | | 46 | 11.93 | 11.9417824074074 | 11.9641666666667 | -0.0223842592592598 | -0.0117824074074058 | | 47 | 12.16 | 12.0171296296296 | 11.93625 | 0.0808796296296293 | 0.142870370370371 | | 48 | 11.87 | 11.7346296296296 | 11.9183333333333 | -0.183703703703703 | 0.135370370370369 | | 49 | 11.93 | 11.9403240740741 | 11.8908333333333 | 0.0494907407407408 | -0.0103240740740738 | | 50 | 11.79 | 11.7903240740741 | 11.85375 | -0.0634259259259256 | -0.000324074074075753 | | 51 | 11.43 | 11.6425462962963 | 11.8341666666667 | -0.19162037037037 | -0.212546296296296 | | 52 | 11.63 | 11.8185879629630 | 11.83 | -0.0114120370370364 | -0.188587962962961 | | 53 | 11.93 | 11.8190046296296 | 11.8141666666667 | 0.00483796296296278 | 0.11099537037037 | | 54 | 11.89 | 11.8673379629630 | 11.7970833333333 | 0.0702546296296298 | 0.0226620370370370 | | 55 | 11.83 | 11.8985185185185 | 11.79 | 0.108518518518518 | -0.0685185185185215 | | 56 | 11.59 | 11.8612962962963 | 11.7954166666667 | 0.0658796296296293 | -0.271296296296294 | | 57 | 12.04 | 11.9143518518519 | 11.8216666666667 | 0.092685185185185 | 0.125648148148148 | | 58 | 11.81 | 11.8280324074074 | 11.8504166666667 | -0.0223842592592598 | -0.0180324074074054 | | 59 | 11.9 | 11.9433796296296 | 11.8625 | 0.0808796296296293 | -0.04337962962963 | | 60 | 11.72 | 11.6821296296296 | 11.8658333333333 | -0.183703703703703 | 0.0378703703703707 | | 61 | 11.91 | 11.9140740740741 | 11.8645833333333 | 0.0494907407407408 | -0.00407407407407234 | | 62 | 11.94 | 11.8044907407407 | 11.8679166666667 | -0.0634259259259256 | 0.135509259259258 | | 63 | 11.91 | 11.6583796296296 | 11.85 | -0.19162037037037 | 0.25162037037037 | | 64 | 11.84 | 11.8140046296296 | 11.8254166666667 | -0.0114120370370364 | 0.0259953703703708 | | 65 | 12.01 | 11.8160879629630 | 11.81125 | 0.00483796296296278 | 0.193912037037038 | | 66 | 11.89 | 11.8506712962963 | 11.7804166666667 | 0.0702546296296298 | 0.0393287037037044 | | 67 | 11.8 | 11.8589351851852 | 11.7504166666667 | 0.108518518518518 | -0.0589351851851827 | | 68 | 11.7 | 11.7821296296296 | 11.71625 | 0.0658796296296293 | -0.0821296296296286 | | 69 | 11.5 | 11.7706018518519 | 11.6779166666667 | 0.092685185185185 | -0.270601851851850 | | 70 | 11.76 | 11.6309490740741 | 11.6533333333333 | -0.0223842592592598 | 0.129050925925927 | | 71 | 11.61 | 11.7075462962963 | 11.6266666666667 | 0.0808796296296293 | -0.0975462962962972 | | 72 | 11.27 | 11.4067129629630 | 11.5904166666667 | -0.183703703703703 | -0.136712962962964 | | 73 | 11.64 | 11.6007407407407 | 11.55125 | 0.0494907407407408 | 0.0392592592592589 | | 74 | 11.39 | 11.4615740740741 | 11.525 | -0.0634259259259256 | -0.0715740740740749 | | 75 | 11.54 | 11.3233796296296 | 11.515 | -0.19162037037037 | 0.21662037037037 | | 76 | 11.62 | 11.4890046296296 | 11.5004166666667 | -0.0114120370370364 | 0.130995370370369 | | 77 | 11.59 | 11.4902546296296 | 11.4854166666667 | 0.00483796296296278 | 0.0997453703703695 | | 78 | 11.44 | 11.5498379629630 | 11.4795833333333 | 0.0702546296296298 | -0.109837962962963 | | 79 | 11.31 | 11.5935185185185 | 11.485 | 0.108518518518518 | -0.283518518518518 | | 80 | 11.56 | NA | NA | 0.0658796296296293 | NA | | 81 | 11.4 | NA | NA | 0.092685185185185 | NA | | 82 | 11.51 | NA | NA | -0.0223842592592598 | NA | | 83 | 11.5 | NA | NA | 0.0808796296296293 | NA | | 84 | 11.24 | NA | NA | -0.183703703703703 | NA | | 85 | 11.8 | NA | NA | NA | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/06/t1249565860wormor4ys93a3mf/12gvn1249561587.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/06/t1249565860wormor4ys93a3mf/12gvn1249561587.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/06/t1249565860wormor4ys93a3mf/2482k1249561587.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/06/t1249565860wormor4ys93a3mf/2482k1249561587.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/06/t1249565860wormor4ys93a3mf/3c9co1249561587.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/06/t1249565860wormor4ys93a3mf/3c9co1249561587.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/06/t1249565860wormor4ys93a3mf/4a5n31249561587.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/06/t1249565860wormor4ys93a3mf/4a5n31249561587.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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