| Gemiddelde consumptieprijs - broodje - Elisa Somers | | R Software Module: rwasp_decompose.wasp (opens new window with default values) | | Title produced by software: Classical Decomposition | | Date of computation: Sat, 17 May 2008 10:09:21 -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/17/t1211040625fhgebt1a5lrer8j.htm/, Retrieved Sat, 17 May 2008 18:10:33 +0200 | | | | User-defined keywords: | | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 4,07
4,07
4,08
4,09
4,08
4,09
4,12
4,14
4,14
4,14
4,14
4,14
4,23
4,29
4,32
4,33
4,35
4,35
4,35
4,35
4,36
4,36
4,38
4,4
4,4
4,4
4,43
4,44
4,46
4,47
4,49
4,49
4,57
4,62
4,64
4,66
4,67
4,68
4,72
4,74
4,75
4,76
4,77
4,76
4,77
4,77
4,78
4,81
4,81
4,85
4,92
4,96
4,95
4,96
4,97
5
5
5,01
5,01
5,02
5,04
5,04
5,19
5,22
5,22
5,22
5,24
5,28
5,34
5,36
5,38
5,39
5,41
5,44
5,51
5,55
5,56
5,57
5,58
5,58
5,59
5,61
5,63
5,64
5,64
| | | | Text written by user: | | Additief | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 4.07 | NA | NA | -0.0191250000000002 | NA | | 2 | 4.07 | NA | NA | -0.0159583333333338 | NA | | 3 | 4.08 | NA | NA | 0.028541666666667 | NA | | 4 | 4.09 | NA | NA | 0.0303749999999997 | NA | | 5 | 4.08 | NA | NA | 0.0178749999999997 | NA | | 6 | 4.09 | NA | NA | 0.00312500000000016 | NA | | 7 | 4.12 | 4.109875 | 4.115 | -0.00512499999999997 | 0.0101249999999995 | | 8 | 4.14 | 4.11829166666667 | 4.13083333333333 | -0.0125416666666666 | 0.0217083333333337 | | 9 | 4.14 | 4.14995833333333 | 4.15 | -4.16666666661104e-05 | -0.00995833333333351 | | 10 | 4.14 | 4.165875 | 4.17 | -0.00412499999999946 | -0.0258750000000001 | | 11 | 4.14 | 4.180875 | 4.19125 | -0.010375 | -0.0408749999999989 | | 12 | 4.14 | 4.20070833333333 | 4.21333333333333 | -0.0126250000000004 | -0.0607083333333325 | | 13 | 4.23 | 4.214625 | 4.23375 | -0.0191250000000002 | 0.0153750000000015 | | 14 | 4.29 | 4.236125 | 4.25208333333333 | -0.0159583333333338 | 0.0538750000000014 | | 15 | 4.32 | 4.29854166666667 | 4.27 | 0.028541666666667 | 0.0214583333333334 | | 16 | 4.33 | 4.31870833333333 | 4.28833333333333 | 0.0303749999999997 | 0.0112916666666676 | | 17 | 4.35 | 4.325375 | 4.3075 | 0.0178749999999997 | 0.0246250000000003 | | 18 | 4.35 | 4.33145833333333 | 4.32833333333333 | 0.00312500000000016 | 0.0185416666666676 | | 19 | 4.35 | 4.341125 | 4.34625 | -0.00512499999999997 | 0.00887499999999974 | | 20 | 4.35 | 4.345375 | 4.35791666666667 | -0.0125416666666666 | 0.00462499999999988 | | 21 | 4.36 | 4.36704166666667 | 4.36708333333333 | -4.16666666661104e-05 | -0.00704166666666595 | | 22 | 4.36 | 4.372125 | 4.37625 | -0.00412499999999946 | -0.0121250000000002 | | 23 | 4.38 | 4.37504166666667 | 4.38541666666667 | -0.010375 | 0.00495833333333362 | | 24 | 4.4 | 4.382375 | 4.395 | -0.0126250000000004 | 0.0176250000000016 | | 25 | 4.4 | 4.38670833333333 | 4.40583333333333 | -0.0191250000000002 | 0.0132916666666665 | | 26 | 4.4 | 4.40154166666667 | 4.4175 | -0.0159583333333338 | -0.00154166666666633 | | 27 | 4.43 | 4.460625 | 4.43208333333333 | 0.028541666666667 | -0.0306250000000006 | | 28 | 4.44 | 4.48204166666667 | 4.45166666666667 | 0.0303749999999997 | -0.0420416666666661 | | 29 | 4.46 | 4.49120833333333 | 4.47333333333333 | 0.0178749999999997 | -0.0312083333333337 | | 30 | 4.47 | 4.498125 | 4.495 | 0.00312500000000016 | -0.0281250000000002 | | 31 | 4.49 | 4.51195833333333 | 4.51708333333333 | -0.00512499999999997 | -0.0219583333333340 | | 32 | 4.49 | 4.52745833333333 | 4.54 | -0.0125416666666666 | -0.0374583333333334 | | 33 | 4.57 | 4.56370833333333 | 4.56375 | -4.16666666661104e-05 | 0.0062916666666668 | | 34 | 4.62 | 4.58420833333333 | 4.58833333333333 | -0.00412499999999946 | 0.0357916666666664 | | 35 | 4.64 | 4.60254166666667 | 4.61291666666667 | -0.010375 | 0.0374583333333334 | | 36 | 4.66 | 4.62445833333333 | 4.63708333333333 | -0.0126250000000004 | 0.0355416666666679 | | 37 | 4.67 | 4.64170833333333 | 4.66083333333333 | -0.0191250000000002 | 0.0282916666666662 | | 38 | 4.68 | 4.66779166666667 | 4.68375 | -0.0159583333333338 | 0.0122083333333327 | | 39 | 4.72 | 4.731875 | 4.70333333333333 | 0.028541666666667 | -0.0118749999999999 | | 40 | 4.74 | 4.74829166666667 | 4.71791666666667 | 0.0303749999999997 | -0.0082916666666657 | | 41 | 4.75 | 4.747875 | 4.73 | 0.0178749999999997 | 0.00212499999999949 | | 42 | 4.76 | 4.74520833333333 | 4.74208333333333 | 0.00312500000000016 | 0.0147916666666674 | | 43 | 4.77 | 4.74904166666667 | 4.75416666666667 | -0.00512499999999997 | 0.0209583333333336 | | 44 | 4.76 | 4.75454166666667 | 4.76708333333333 | -0.0125416666666666 | 0.00545833333333334 | | 45 | 4.77 | 4.78245833333333 | 4.7825 | -4.16666666661104e-05 | -0.0124583333333339 | | 46 | 4.77 | 4.795875 | 4.8 | -0.00412499999999946 | -0.0258750000000001 | | 47 | 4.78 | 4.807125 | 4.8175 | -0.010375 | -0.0271249999999998 | | 48 | 4.81 | 4.82154166666667 | 4.83416666666667 | -0.0126250000000004 | -0.0115416666666661 | | 49 | 4.81 | 4.83170833333333 | 4.85083333333333 | -0.0191250000000002 | -0.0217083333333346 | | 50 | 4.85 | 4.85320833333333 | 4.86916666666667 | -0.0159583333333338 | -0.00320833333333326 | | 51 | 4.92 | 4.91729166666667 | 4.88875 | 0.028541666666667 | 0.00270833333333265 | | 52 | 4.96 | 4.93870833333333 | 4.90833333333333 | 0.0303749999999997 | 0.0212916666666674 | | 53 | 4.95 | 4.94579166666667 | 4.92791666666667 | 0.0178749999999997 | 0.00420833333333359 | | 54 | 4.96 | 4.949375 | 4.94625 | 0.00312500000000016 | 0.010625000000001 | | 55 | 4.97 | 4.95945833333333 | 4.96458333333333 | -0.00512499999999997 | 0.0105416666666658 | | 56 | 5 | 4.96954166666667 | 4.98208333333333 | -0.0125416666666666 | 0.0304583333333328 | | 57 | 5 | 5.00120833333333 | 5.00125 | -4.16666666661104e-05 | -0.00120833333333259 | | 58 | 5.01 | 5.01920833333333 | 5.02333333333333 | -0.00412499999999946 | -0.00920833333333348 | | 59 | 5.01 | 5.03504166666667 | 5.04541666666667 | -0.010375 | -0.0250416666666666 | | 60 | 5.02 | 5.054875 | 5.0675 | -0.0126250000000004 | -0.0348750000000004 | | 61 | 5.04 | 5.07045833333333 | 5.08958333333333 | -0.0191250000000002 | -0.0304583333333337 | | 62 | 5.04 | 5.09654166666667 | 5.1125 | -0.0159583333333338 | -0.056541666666667 | | 63 | 5.19 | 5.166875 | 5.13833333333333 | 0.028541666666667 | 0.0231250000000003 | | 64 | 5.22 | 5.19745833333333 | 5.16708333333333 | 0.0303749999999997 | 0.0225416666666662 | | 65 | 5.22 | 5.21495833333333 | 5.19708333333333 | 0.0178749999999997 | 0.00504166666666617 | | 66 | 5.22 | 5.23104166666667 | 5.22791666666667 | 0.00312500000000016 | -0.0110416666666664 | | 67 | 5.24 | 5.253625 | 5.25875 | -0.00512499999999997 | -0.0136249999999993 | | 68 | 5.28 | 5.27829166666667 | 5.29083333333333 | -0.0125416666666666 | 0.00170833333333409 | | 69 | 5.34 | 5.32079166666667 | 5.32083333333333 | -4.16666666661104e-05 | 0.0192083333333342 | | 70 | 5.36 | 5.34379166666667 | 5.34791666666667 | -0.00412499999999946 | 0.0162083333333340 | | 71 | 5.38 | 5.36545833333333 | 5.37583333333333 | -0.010375 | 0.0145416666666662 | | 72 | 5.39 | 5.39195833333333 | 5.40458333333333 | -0.0126250000000004 | -0.00195833333333351 | | 73 | 5.41 | 5.41420833333333 | 5.43333333333333 | -0.0191250000000002 | -0.00420833333333448 | | 74 | 5.44 | 5.44404166666667 | 5.46 | -0.0159583333333338 | -0.00404166666666583 | | 75 | 5.51 | 5.51145833333333 | 5.48291666666667 | 0.028541666666667 | -0.00145833333333290 | | 76 | 5.55 | 5.534125 | 5.50375 | 0.0303749999999997 | 0.0158750000000003 | | 77 | 5.56 | 5.54245833333333 | 5.52458333333333 | 0.0178749999999997 | 0.0175416666666655 | | 78 | 5.57 | 5.54854166666667 | 5.54541666666667 | 0.00312500000000016 | 0.0214583333333334 | | 79 | 5.58 | 5.56029166666667 | 5.56541666666667 | -0.00512499999999997 | 0.019708333333333 | | 80 | 5.58 | NA | NA | -0.0125416666666666 | NA | | 81 | 5.59 | NA | NA | -4.16666666661104e-05 | NA | | 82 | 5.61 | NA | NA | -0.00412499999999946 | NA | | 83 | 5.63 | NA | NA | -0.010375 | NA | | 84 | 5.64 | NA | NA | -0.0126250000000004 | NA | | 85 | 5.64 | NA | NA | NA | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211040625fhgebt1a5lrer8j/1j4951211040559.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211040625fhgebt1a5lrer8j/1j4951211040559.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211040625fhgebt1a5lrer8j/2g6to1211040559.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211040625fhgebt1a5lrer8j/2g6to1211040559.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211040625fhgebt1a5lrer8j/34e8s1211040559.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211040625fhgebt1a5lrer8j/34e8s1211040559.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211040625fhgebt1a5lrer8j/4wyhu1211040559.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211040625fhgebt1a5lrer8j/4wyhu1211040559.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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