| Plantaardige stoffen - Joyce Pauwels - Classical Decomposition | | R Software Module: rwasp_decompose.wasp (opens new window with default values) | | Title produced by software: Classical Decomposition | | Date of computation: Sat, 24 May 2008 10:00:29 -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/24/t1211645415xxyvxeyl3iql3pb.htm/, Retrieved Sat, 24 May 2008 18:10:15 +0200 | | | | User-defined keywords: | | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 79,2
81,5
81,5
82
85,8
88,2
88
88,8
89
90,4
90,9
94,6
97,9
101,7
102,3
103,5
103,6
102,3
101,6
104,3
110,8
112,1
111,1
114,4
115
115,3
114,1
114,8
114,5
114,1
112,3
113
112,2
113,7
113,6
115,8
117,9
120,1
118,8
114,7
110,9
112,9
113,3
114,3
116,5
114,3
115,9
120,1
122,6
122,4
123,1
127,9
130,9
135
134,9
130,2
130,8
132,6
138,6
146,2
149,3
149,9
156,8
158,8
156,7
159,9
158,2
157,5
159,1
160,6
161,6
161,3
| | | | Text written by user: | | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 79.2 | NA | NA | 2.05112847222222 | NA | | 2 | 81.5 | NA | NA | 2.65633680555555 | NA | | 3 | 81.5 | NA | NA | 1.48967013888889 | NA | | 4 | 82 | NA | NA | 1.26467013888890 | NA | | 5 | 85.8 | NA | NA | 0.0782118055555608 | NA | | 6 | 88.2 | NA | NA | 0.143836805555554 | NA | | 7 | 88 | 85.9584201388889 | 87.4375 | -1.47907986111112 | 2.04157986111112 | | 8 | 88.8 | 86.4667534722222 | 89.0583333333333 | -2.59157986111110 | 2.33324652777777 | | 9 | 89 | 89.2302951388889 | 90.7666666666667 | -1.53637152777778 | -0.230295138888863 | | 10 | 90.4 | 90.4490451388889 | 92.5291666666667 | -2.08012152777778 | -0.0490451388888715 | | 11 | 90.9 | 92.5823784722222 | 94.1666666666667 | -1.58428819444444 | -1.68237847222221 | | 12 | 94.6 | 97.0834201388889 | 95.4958333333333 | 1.58758680555556 | -2.48342013888890 | | 13 | 97.9 | 98.7011284722222 | 96.65 | 2.05112847222222 | -0.801128472222217 | | 14 | 101.7 | 100.518836805556 | 97.8625 | 2.65633680555555 | 1.18116319444445 | | 15 | 102.3 | 100.906336805556 | 99.4166666666667 | 1.48967013888889 | 1.39366319444446 | | 16 | 103.5 | 102.493836805556 | 101.229166666667 | 1.26467013888890 | 1.00616319444445 | | 17 | 103.6 | 103.053211805556 | 102.975 | 0.0782118055555608 | 0.546788194444474 | | 18 | 102.3 | 104.785503472222 | 104.641666666667 | 0.143836805555554 | -2.48550347222221 | | 19 | 101.6 | 104.700086805556 | 106.179166666667 | -1.47907986111112 | -3.10008680555555 | | 20 | 104.3 | 104.866753472222 | 107.458333333333 | -2.59157986111110 | -0.566753472222231 | | 21 | 110.8 | 106.980295138889 | 108.516666666667 | -1.53637152777778 | 3.81970486111112 | | 22 | 112.1 | 107.399045138889 | 109.479166666667 | -2.08012152777778 | 4.70095486111113 | | 23 | 111.1 | 108.819878472222 | 110.404166666667 | -1.58428819444444 | 2.28012152777779 | | 24 | 114.4 | 112.937586805556 | 111.35 | 1.58758680555556 | 1.46241319444445 | | 25 | 115 | 114.338628472222 | 112.2875 | 2.05112847222222 | 0.661371527777789 | | 26 | 115.3 | 115.752170138889 | 113.095833333333 | 2.65633680555555 | -0.452170138888903 | | 27 | 114.1 | 115.006336805556 | 113.516666666667 | 1.48967013888889 | -0.906336805555526 | | 28 | 114.8 | 114.906336805556 | 113.641666666667 | 1.26467013888890 | -0.106336805555529 | | 29 | 114.5 | 113.890711805556 | 113.8125 | 0.0782118055555608 | 0.609288194444474 | | 30 | 114.1 | 114.118836805556 | 113.975 | 0.143836805555554 | -0.0188368055555372 | | 31 | 112.3 | 112.675086805556 | 114.154166666667 | -1.47907986111112 | -0.375086805555554 | | 32 | 113 | 111.883420138889 | 114.475 | -2.59157986111110 | 1.11657986111112 | | 33 | 112.2 | 113.334461805556 | 114.870833333333 | -1.53637152777778 | -1.13446180555553 | | 34 | 113.7 | 112.982378472222 | 115.0625 | -2.08012152777778 | 0.71762152777778 | | 35 | 113.6 | 113.324045138889 | 114.908333333333 | -1.58428819444444 | 0.275954861111117 | | 36 | 115.8 | 116.295920138889 | 114.708333333333 | 1.58758680555556 | -0.495920138888877 | | 37 | 117.9 | 116.751128472222 | 114.7 | 2.05112847222222 | 1.1488715277778 | | 38 | 120.1 | 117.452170138889 | 114.795833333333 | 2.65633680555555 | 2.64782986111113 | | 39 | 118.8 | 116.518836805556 | 115.029166666667 | 1.48967013888889 | 2.28116319444446 | | 40 | 114.7 | 116.498003472222 | 115.233333333333 | 1.26467013888890 | -1.79800347222219 | | 41 | 110.9 | 115.432378472222 | 115.354166666667 | 0.0782118055555608 | -4.53237847222219 | | 42 | 112.9 | 115.773003472222 | 115.629166666667 | 0.143836805555554 | -2.87300347222221 | | 43 | 113.3 | 114.525086805556 | 116.004166666667 | -1.47907986111112 | -1.22508680555555 | | 44 | 114.3 | 113.704253472222 | 116.295833333333 | -2.59157986111110 | 0.595746527777777 | | 45 | 116.5 | 115.034461805556 | 116.570833333333 | -1.53637152777778 | 1.46553819444445 | | 46 | 114.3 | 115.219878472222 | 117.3 | -2.08012152777778 | -0.919878472222194 | | 47 | 115.9 | 117.099045138889 | 118.683333333333 | -1.58428819444444 | -1.19904513888886 | | 48 | 120.1 | 122.025086805556 | 120.4375 | 1.58758680555556 | -1.92508680555555 | | 49 | 122.6 | 124.309461805556 | 122.258333333333 | 2.05112847222222 | -1.70946180555555 | | 50 | 122.4 | 126.477170138889 | 123.820833333333 | 2.65633680555555 | -4.07717013888887 | | 51 | 123.1 | 126.568836805556 | 125.079166666667 | 1.48967013888889 | -3.46883680555555 | | 52 | 127.9 | 127.702170138889 | 126.4375 | 1.26467013888890 | 0.197829861111103 | | 53 | 130.9 | 128.224045138889 | 128.145833333333 | 0.0782118055555608 | 2.67595486111108 | | 54 | 135 | 130.323003472222 | 130.179166666667 | 0.143836805555554 | 4.67699652777776 | | 55 | 134.9 | 130.900086805556 | 132.379166666667 | -1.47907986111112 | 3.99991319444447 | | 56 | 130.2 | 132.045920138889 | 134.6375 | -2.59157986111110 | -1.84592013888886 | | 57 | 130.8 | 135.651128472222 | 137.1875 | -1.53637152777778 | -4.8511284722222 | | 58 | 132.6 | 137.799045138889 | 139.879166666667 | -2.08012152777778 | -5.19904513888889 | | 59 | 138.6 | 140.657378472222 | 142.241666666667 | -1.58428819444444 | -2.05737847222224 | | 60 | 146.2 | 145.941753472222 | 144.354166666667 | 1.58758680555556 | 0.258246527777771 | | 61 | 149.3 | 148.413628472222 | 146.3625 | 2.05112847222222 | 0.886371527777811 | | 62 | 149.9 | 151.127170138889 | 148.470833333333 | 2.65633680555555 | -1.22717013888888 | | 63 | 156.8 | 152.277170138889 | 150.7875 | 1.48967013888889 | 4.52282986111109 | | 64 | 158.8 | 154.398003472222 | 153.133333333333 | 1.26467013888890 | 4.40199652777775 | | 65 | 156.7 | 155.336545138889 | 155.258333333333 | 0.0782118055555608 | 1.36345486111111 | | 66 | 159.9 | 156.989670138889 | 156.845833333333 | 0.143836805555554 | 2.91032986111111 | | 67 | 158.2 | NA | NA | -1.47907986111112 | NA | | 68 | 157.5 | NA | NA | -2.59157986111110 | NA | | 69 | 159.1 | NA | NA | -1.53637152777778 | NA | | 70 | 160.6 | NA | NA | -2.08012152777778 | NA | | 71 | 161.6 | NA | NA | -1.58428819444444 | NA | | 72 | 161.3 | NA | NA | 1.58758680555556 | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/24/t1211645415xxyvxeyl3iql3pb/1kgpj1211644821.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/24/t1211645415xxyvxeyl3iql3pb/1kgpj1211644821.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/24/t1211645415xxyvxeyl3iql3pb/20q421211644821.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/24/t1211645415xxyvxeyl3iql3pb/20q421211644821.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/24/t1211645415xxyvxeyl3iql3pb/3fpcm1211644821.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/24/t1211645415xxyvxeyl3iql3pb/3fpcm1211644821.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/24/t1211645415xxyvxeyl3iql3pb/4dv461211644821.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/24/t1211645415xxyvxeyl3iql3pb/4dv461211644821.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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