| Classical Deposition - huurprijzen - Charlotte Van Opstal | | R Software Module: rwasp_decompose.wasp (opens new window with default values) | | Title produced by software: Classical Decomposition | | Date of computation: Tue, 20 May 2008 06:13:06 -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/20/t1211285672ct1lc51f9y18g20.htm/, Retrieved Tue, 20 May 2008 14:14:37 +0200 | | | | User-defined keywords: | | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 103,6
103,7
103,8
104
104
104,1
104,2
104,3
104,4
104,5
104,7
104,7
104,9
105
105,2
105,3
105,4
105,5
105,7
105,8
105,9
106
106,1
106,2
106,6
106,8
107
107,1
107,3
107,4
107,6
107,7
107,9
108,2
108,3
108,5
108,92
109,23
109,41
109,65
109,91
110,01
110,2
110,49
110,57
110,72
110,94
111,09
111,28
111,41
111,62
111,76
111,89
112,04
112,12
112,3
112,47
112,59
112,78
112,73
112,99
113,1
113,33
113,38
113,68
113,65
113,81
113,88
114,02
114,25
114,28
114,38
114,73
114,97
115,05
115,29
115,37
115,54
115,76
115,92
116,02
116,21
116,26
116,51
| | | | Text written by user: | | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 103.6 | NA | NA | 0.0233819444444459 | NA | | 2 | 103.7 | NA | NA | 0.0334652777777814 | NA | | 3 | 103.8 | NA | NA | 0.077465277777784 | NA | | 4 | 104 | NA | NA | 0.0420486111111127 | NA | | 5 | 104 | NA | NA | 0.0789652777777855 | NA | | 6 | 104.1 | NA | NA | 0.00246527777778690 | NA | | 7 | 104.2 | 104.226715277778 | 104.220833333333 | 0.00588194444444194 | -0.0267152777777824 | | 8 | 104.3 | 104.318048611111 | 104.329166666667 | -0.0111180555555653 | -0.0180486111111122 | | 9 | 104.4 | 104.403381944444 | 104.441666666667 | -0.03828472222223 | -0.00338194444444184 | | 10 | 104.5 | 104.530548611111 | 104.554166666667 | -0.0236180555555568 | -0.0305486111111009 | | 11 | 104.7 | 104.604715277778 | 104.666666666667 | -0.0619513888888979 | 0.095284722222246 | | 12 | 104.7 | 104.654631944444 | 104.783333333333 | -0.128701388888888 | 0.0453680555555565 | | 13 | 104.9 | 104.927548611111 | 104.904166666667 | 0.0233819444444459 | -0.0275486111111007 | | 14 | 105 | 105.062631944444 | 105.029166666667 | 0.0334652777777814 | -0.0626319444444192 | | 15 | 105.2 | 105.231631944444 | 105.154166666667 | 0.077465277777784 | -0.0316319444444417 | | 16 | 105.3 | 105.321215277778 | 105.279166666667 | 0.0420486111111127 | -0.0212152777777703 | | 17 | 105.4 | 105.478965277778 | 105.4 | 0.0789652777777855 | -0.078965277777769 | | 18 | 105.5 | 105.523298611111 | 105.520833333333 | 0.00246527777778690 | -0.0232986111111160 | | 19 | 105.7 | 105.660048611111 | 105.654166666667 | 0.00588194444444194 | 0.0399513888888805 | | 20 | 105.8 | 105.788881944444 | 105.8 | -0.0111180555555653 | 0.0111180555555705 | | 21 | 105.9 | 105.911715277778 | 105.95 | -0.03828472222223 | -0.0117152777777534 | | 22 | 106 | 106.076381944444 | 106.1 | -0.0236180555555568 | -0.0763819444444351 | | 23 | 106.1 | 106.192215277778 | 106.254166666667 | -0.0619513888888979 | -0.0922152777777683 | | 24 | 106.2 | 106.283798611111 | 106.4125 | -0.128701388888888 | -0.0837986111111064 | | 25 | 106.6 | 106.594215277778 | 106.570833333333 | 0.0233819444444459 | 0.00578472222221649 | | 26 | 106.8 | 106.762631944444 | 106.729166666667 | 0.0334652777777814 | 0.0373680555555609 | | 27 | 107 | 106.969131944444 | 106.891666666667 | 0.077465277777784 | 0.0308680555555725 | | 28 | 107.1 | 107.108715277778 | 107.066666666667 | 0.0420486111111127 | -0.00871527777776748 | | 29 | 107.3 | 107.328965277778 | 107.25 | 0.0789652777777855 | -0.0289652777777718 | | 30 | 107.4 | 107.439965277778 | 107.4375 | 0.00246527777778690 | -0.0399652777777675 | | 31 | 107.6 | 107.635881944444 | 107.63 | 0.00588194444444194 | -0.0358819444444407 | | 32 | 107.7 | 107.816798611111 | 107.827916666667 | -0.0111180555555653 | -0.116798611111093 | | 33 | 107.9 | 107.991298611111 | 108.029583333333 | -0.03828472222223 | -0.0912986111110854 | | 34 | 108.2 | 108.212631944444 | 108.23625 | -0.0236180555555568 | -0.0126319444444363 | | 35 | 108.3 | 108.389298611111 | 108.45125 | -0.0619513888888979 | -0.0892986111111043 | | 36 | 108.5 | 108.540048611111 | 108.66875 | -0.128701388888888 | -0.0400486111111036 | | 37 | 108.92 | 108.909215277778 | 108.885833333333 | 0.0233819444444459 | 0.0107847222222404 | | 38 | 109.23 | 109.143881944444 | 109.110416666667 | 0.0334652777777814 | 0.0861180555555592 | | 39 | 109.41 | 109.415381944444 | 109.337916666667 | 0.077465277777784 | -0.00538194444445139 | | 40 | 109.65 | 109.596215277778 | 109.554166666667 | 0.0420486111111127 | 0.0537847222222183 | | 41 | 109.91 | 109.848131944444 | 109.769166666667 | 0.0789652777777855 | 0.06186805555555 | | 42 | 110.01 | 109.989548611111 | 109.987083333333 | 0.00246527777778690 | 0.0204513888889011 | | 43 | 110.2 | 110.199215277778 | 110.193333333333 | 0.00588194444444194 | 0.000784722222235246 | | 44 | 110.49 | 110.371381944444 | 110.3825 | -0.0111180555555653 | 0.118618055555558 | | 45 | 110.57 | 110.527131944444 | 110.565416666667 | -0.03828472222223 | 0.0428680555555445 | | 46 | 110.72 | 110.721798611111 | 110.745416666667 | -0.0236180555555568 | -0.00179861111109858 | | 47 | 110.94 | 110.853881944444 | 110.915833333333 | -0.0619513888888979 | 0.0861180555555592 | | 48 | 111.09 | 110.954215277778 | 111.082916666667 | -0.128701388888888 | 0.135784722222212 | | 49 | 111.28 | 111.270881944444 | 111.2475 | 0.0233819444444459 | 0.009118055555561 | | 50 | 111.41 | 111.436381944444 | 111.402916666667 | 0.0334652777777814 | -0.026381944444438 | | 51 | 111.62 | 111.634965277778 | 111.5575 | 0.077465277777784 | -0.014965277777776 | | 52 | 111.76 | 111.756631944444 | 111.714583333333 | 0.0420486111111127 | 0.00336805555556907 | | 53 | 111.89 | 111.948131944444 | 111.869166666667 | 0.0789652777777855 | -0.0581319444444262 | | 54 | 112.04 | 112.016631944444 | 112.014166666667 | 0.00246527777778690 | 0.0233680555555651 | | 55 | 112.12 | 112.159631944444 | 112.15375 | 0.00588194444444194 | -0.0396319444444231 | | 56 | 112.3 | 112.284298611111 | 112.295416666667 | -0.0111180555555653 | 0.0157013888888997 | | 57 | 112.47 | 112.398798611111 | 112.437083333333 | -0.03828472222223 | 0.0712013888888805 | | 58 | 112.59 | 112.552215277778 | 112.575833333333 | -0.0236180555555568 | 0.0377847222222272 | | 59 | 112.78 | 112.655965277778 | 112.717916666667 | -0.0619513888888979 | 0.124034722222234 | | 60 | 112.73 | 112.730881944444 | 112.859583333333 | -0.128701388888888 | -0.000881944444429905 | | 61 | 112.99 | 113.020465277778 | 112.997083333333 | 0.0233819444444459 | -0.0304652777777932 | | 62 | 113.1 | 113.166798611111 | 113.133333333333 | 0.0334652777777814 | -0.0667986111110963 | | 63 | 113.33 | 113.341215277778 | 113.26375 | 0.077465277777784 | -0.0112152777777794 | | 64 | 113.38 | 113.439548611111 | 113.3975 | 0.0420486111111127 | -0.0595486111110972 | | 65 | 113.68 | 113.608131944444 | 113.529166666667 | 0.0789652777777855 | 0.0718680555555835 | | 66 | 113.65 | 113.662881944444 | 113.660416666667 | 0.00246527777778690 | -0.0128819444444304 | | 67 | 113.81 | 113.807548611111 | 113.801666666667 | 0.00588194444444194 | 0.00245138888891461 | | 68 | 113.88 | 113.940965277778 | 113.952083333333 | -0.0111180555555653 | -0.0609652777777541 | | 69 | 114.02 | 114.063381944444 | 114.101666666667 | -0.03828472222223 | -0.0433819444444339 | | 70 | 114.25 | 114.229298611111 | 114.252916666667 | -0.0236180555555568 | 0.0207013888889094 | | 71 | 114.28 | 114.340965277778 | 114.402916666667 | -0.0619513888888979 | -0.0609652777777541 | | 72 | 114.38 | 114.423381944444 | 114.552083333333 | -0.128701388888888 | -0.0433819444444339 | | 73 | 114.73 | 114.735465277778 | 114.712083333333 | 0.0233819444444459 | -0.00546527777778749 | | 74 | 114.97 | 114.911798611111 | 114.878333333333 | 0.0334652777777814 | 0.0582013888889037 | | 75 | 115.05 | 115.124131944444 | 115.046666666667 | 0.077465277777784 | -0.0741319444444599 | | 76 | 115.29 | 115.253715277778 | 115.211666666667 | 0.0420486111111127 | 0.0362847222222342 | | 77 | 115.37 | 115.454798611111 | 115.375833333333 | 0.0789652777777855 | -0.0847986111111112 | | 78 | 115.54 | 115.549548611111 | 115.547083333333 | 0.00246527777778690 | -0.00954861111110006 | | 79 | 115.76 | NA | NA | 0.00588194444444194 | NA | | 80 | 115.92 | NA | NA | -0.0111180555555653 | NA | | 81 | 116.02 | NA | NA | -0.03828472222223 | NA | | 82 | 116.21 | NA | NA | -0.0236180555555568 | NA | | 83 | 116.26 | NA | NA | -0.0619513888888979 | NA | | 84 | 116.51 | NA | NA | -0.128701388888888 | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211285672ct1lc51f9y18g20/1pxor1211285584.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211285672ct1lc51f9y18g20/1pxor1211285584.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211285672ct1lc51f9y18g20/2qmv41211285584.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211285672ct1lc51f9y18g20/2qmv41211285584.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211285672ct1lc51f9y18g20/3cc5u1211285584.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211285672ct1lc51f9y18g20/3cc5u1211285584.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211285672ct1lc51f9y18g20/4srg01211285584.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211285672ct1lc51f9y18g20/4srg01211285584.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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