| evolutie prijzen middagmaal decompositie (Van Puymbroeck Bram) | | R Software Module: rwasp_decompose.wasp (opens new window with default values) | | Title produced by software: Classical Decomposition | | Date of computation: Sun, 25 May 2008 04:35:22 -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/25/t1211711841zd9zss6s1r986gp.htm/, Retrieved Sun, 25 May 2008 12:37:21 +0200 | | | | User-defined keywords: | | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 2,9
2,9
2,9
2,9
2,9
2,9
2,9
2,9
2,95
2,96
2,96
2,96
2,96
2,96
2,96
2,96
2,96
2,96
2,96
2,96
3,04
3,04
3,04
3,04
3,04
3,04
3,04
3,04
3,04
3,03
3,03
3,03
3,15
3,15
3,15
3,15
3,15
3,15
3,15
3,15
3,15
3,15
3,15
3,15
3,26
3,26
3,27
3,27
3,27
3,27
3,27
3,27
3,27
3,27
3,27
3,27
3,32
3,32
3,32
3,32
3,32
3,32
3,32
3,32
3,32
3,32
3,32
3,33
3,41
3,42
3,42
3,42
| | | | Text written by user: | | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 2.9 | NA | NA | 0.0127343750000000 | NA | | 2 | 2.9 | NA | NA | 0.00502604166666676 | NA | | 3 | 2.9 | NA | NA | -0.00268229166666667 | NA | | 4 | 2.9 | NA | NA | -0.0102864583333334 | NA | | 5 | 2.9 | NA | NA | -0.0177864583333334 | NA | | 6 | 2.9 | NA | NA | -0.0277864583333336 | NA | | 7 | 2.9 | 2.88638020833333 | 2.92166666666667 | -0.0352864583333335 | 0.0136197916666672 | | 8 | 2.9 | 2.88388020833333 | 2.92666666666667 | -0.0427864583333335 | 0.0161197916666671 | | 9 | 2.95 | 2.97138020833333 | 2.93166666666667 | 0.0397135416666666 | -0.0213802083333325 | | 10 | 2.96 | 2.96888020833333 | 2.93666666666667 | 0.0322135416666668 | -0.0088802083333328 | | 11 | 2.96 | 2.96888020833333 | 2.94166666666667 | 0.0272135416666669 | -0.00888020833333325 | | 12 | 2.96 | 2.96638020833333 | 2.94666666666667 | 0.0197135416666671 | -0.00638020833333286 | | 13 | 2.96 | 2.96440104166667 | 2.95166666666667 | 0.0127343750000000 | -0.00440104166666622 | | 14 | 2.96 | 2.96169270833333 | 2.95666666666667 | 0.00502604166666676 | -0.00169270833333224 | | 15 | 2.96 | 2.960234375 | 2.96291666666667 | -0.00268229166666667 | -0.000234374999999343 | | 16 | 2.96 | 2.95971354166667 | 2.97 | -0.0102864583333334 | 0.000286458333333517 | | 17 | 2.96 | 2.95888020833333 | 2.97666666666667 | -0.0177864583333334 | 0.00111979166666698 | | 18 | 2.96 | 2.955546875 | 2.98333333333333 | -0.0277864583333336 | 0.00445312500000083 | | 19 | 2.96 | 2.95471354166667 | 2.99 | -0.0352864583333335 | 0.00528645833333385 | | 20 | 2.96 | 2.95388020833333 | 2.99666666666667 | -0.0427864583333335 | 0.00611979166666732 | | 21 | 3.04 | 3.043046875 | 3.00333333333333 | 0.0397135416666666 | -0.00304687499999945 | | 22 | 3.04 | 3.04221354166667 | 3.01 | 0.0322135416666668 | -0.00221354166666643 | | 23 | 3.04 | 3.04388020833333 | 3.01666666666667 | 0.0272135416666669 | -0.00388020833333336 | | 24 | 3.04 | 3.04263020833333 | 3.02291666666667 | 0.0197135416666671 | -0.00263020833333361 | | 25 | 3.04 | 3.041484375 | 3.02875 | 0.0127343750000000 | -0.00148437500000043 | | 26 | 3.04 | 3.039609375 | 3.03458333333333 | 0.00502604166666676 | 0.000390624999999645 | | 27 | 3.04 | 3.03940104166667 | 3.04208333333333 | -0.00268229166666667 | 0.000598958333333677 | | 28 | 3.04 | 3.04096354166667 | 3.05125 | -0.0102864583333334 | -0.000963541666666679 | | 29 | 3.04 | 3.04263020833333 | 3.06041666666667 | -0.0177864583333334 | -0.00263020833333361 | | 30 | 3.03 | 3.041796875 | 3.06958333333333 | -0.0277864583333336 | -0.0117968749999999 | | 31 | 3.03 | 3.04346354166667 | 3.07875 | -0.0352864583333335 | -0.0134635416666664 | | 32 | 3.03 | 3.04513020833333 | 3.08791666666667 | -0.0427864583333335 | -0.0151302083333333 | | 33 | 3.15 | 3.136796875 | 3.09708333333333 | 0.0397135416666666 | 0.0132031250000004 | | 34 | 3.15 | 3.13846354166667 | 3.10625 | 0.0322135416666668 | 0.0115364583333339 | | 35 | 3.15 | 3.14263020833333 | 3.11541666666667 | 0.0272135416666669 | 0.00736979166666707 | | 36 | 3.15 | 3.14471354166667 | 3.125 | 0.0197135416666671 | 0.00528645833333385 | | 37 | 3.15 | 3.147734375 | 3.135 | 0.0127343750000000 | 0.00226562500000016 | | 38 | 3.15 | 3.15002604166667 | 3.145 | 0.00502604166666676 | -2.6041666666643e-05 | | 39 | 3.15 | 3.15190104166667 | 3.15458333333333 | -0.00268229166666667 | -0.00190104166666716 | | 40 | 3.15 | 3.15346354166667 | 3.16375 | -0.0102864583333334 | -0.00346354166666663 | | 41 | 3.15 | 3.155546875 | 3.17333333333333 | -0.0177864583333334 | -0.00554687499999984 | | 42 | 3.15 | 3.155546875 | 3.18333333333333 | -0.0277864583333336 | -0.00554687500000073 | | 43 | 3.15 | 3.158046875 | 3.19333333333333 | -0.0352864583333335 | -0.00804687500000023 | | 44 | 3.15 | 3.160546875 | 3.20333333333333 | -0.0427864583333335 | -0.0105468750000002 | | 45 | 3.26 | 3.253046875 | 3.21333333333333 | 0.0397135416666666 | 0.0069531249999999 | | 46 | 3.26 | 3.255546875 | 3.22333333333333 | 0.0322135416666668 | 0.00445312499999995 | | 47 | 3.27 | 3.260546875 | 3.23333333333333 | 0.0272135416666669 | 0.00945312500000028 | | 48 | 3.27 | 3.263046875 | 3.24333333333333 | 0.0197135416666671 | 0.00695312500000034 | | 49 | 3.27 | 3.26606770833333 | 3.25333333333333 | 0.0127343750000000 | 0.00393229166666753 | | 50 | 3.27 | 3.268359375 | 3.26333333333333 | 0.00502604166666676 | 0.00164062500000028 | | 51 | 3.27 | 3.26815104166667 | 3.27083333333333 | -0.00268229166666667 | 0.00184895833333387 | | 52 | 3.27 | 3.265546875 | 3.27583333333333 | -0.0102864583333334 | 0.00445312500000039 | | 53 | 3.27 | 3.26263020833333 | 3.28041666666667 | -0.0177864583333334 | 0.00736979166666751 | | 54 | 3.27 | 3.256796875 | 3.28458333333333 | -0.0277864583333336 | 0.0132031250000004 | | 55 | 3.27 | 3.25346354166667 | 3.28875 | -0.0352864583333335 | 0.0165364583333343 | | 56 | 3.27 | 3.25013020833333 | 3.29291666666667 | -0.0427864583333335 | 0.0198697916666672 | | 57 | 3.32 | 3.336796875 | 3.29708333333333 | 0.0397135416666666 | -0.0167968749999994 | | 58 | 3.32 | 3.33346354166667 | 3.30125 | 0.0322135416666668 | -0.0134635416666660 | | 59 | 3.32 | 3.33263020833333 | 3.30541666666667 | 0.0272135416666669 | -0.0126302083333325 | | 60 | 3.32 | 3.329296875 | 3.30958333333333 | 0.0197135416666671 | -0.0092968749999991 | | 61 | 3.32 | 3.326484375 | 3.31375 | 0.0127343750000000 | -0.00648437499999854 | | 62 | 3.32 | 3.323359375 | 3.31833333333333 | 0.00502604166666676 | -0.00335937499999917 | | 63 | 3.32 | 3.32190104166667 | 3.32458333333333 | -0.00268229166666667 | -0.00190104166666538 | | 64 | 3.32 | 3.32221354166666 | 3.3325 | -0.0102864583333334 | -0.00221354166666510 | | 65 | 3.32 | 3.323046875 | 3.34083333333333 | -0.0177864583333334 | -0.00304687499999856 | | 66 | 3.32 | 3.32138020833333 | 3.34916666666666 | -0.0277864583333336 | -0.00138020833333163 | | 67 | 3.32 | NA | NA | -0.0352864583333335 | NA | | 68 | 3.33 | NA | NA | -0.0427864583333335 | NA | | 69 | 3.41 | NA | NA | 0.0397135416666666 | NA | | 70 | 3.42 | NA | NA | 0.0322135416666668 | NA | | 71 | 3.42 | NA | NA | 0.0272135416666669 | NA | | 72 | 3.42 | NA | NA | 0.0197135416666671 | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/25/t1211711841zd9zss6s1r986gp/1hini1211711714.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/25/t1211711841zd9zss6s1r986gp/1hini1211711714.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/25/t1211711841zd9zss6s1r986gp/2hf7x1211711714.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/25/t1211711841zd9zss6s1r986gp/2hf7x1211711714.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/25/t1211711841zd9zss6s1r986gp/3cead1211711714.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/25/t1211711841zd9zss6s1r986gp/3cead1211711714.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/25/t1211711841zd9zss6s1r986gp/46xr41211711714.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/25/t1211711841zd9zss6s1r986gp/46xr41211711714.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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