| Sanne Seghers - 2MAR03 - klassieke decompositie | | R Software Module: rwasp_decompose.wasp (opens new window with default values) | | Title produced by software: Classical Decomposition | | Date of computation: Mon, 18 Aug 2008 09:21:58 -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/Aug/18/t1219073023mc3pzffqvaqpzou.htm/, Retrieved Mon, 18 Aug 2008 15:23:47 +0000 | | | | IsPrivate? | | No (this computation is public) | | | | User-defined keywords: | | Afzetprijsindexen van de verwerking en conservering van groenten en fruit | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 115,6
118,5
118,1
117,7
117,9
118,5
117
115,6
113,7
112,1
113,5
113,5
112,2
112,7
111,9
111,5
110,8
111,2
110,9
114,1
121,3
121,5
122,5
122,4
122,5
122,8
122,9
123,6
123,4
122,9
121
119
119
114,3
113,4
113,7
113,5
114,4
114,6
111,6
111,8
110,8
112,6
115,3
115,4
115,3
115,5
115
116,3
117
116,9
117,2
117,1
116,7
117,4
126,7
128,6
129,2
131,1
131,1
131,5
133,2
133,7
135,7
134,9
135,7
131,2
127,4
127,5
124,1
124,1
124,1
124,5
123,7
125,9
126
125,5
125,3 | | | | Text written by user: | | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 115.6 | NA | NA | 0.160503472222215 | NA | | 2 | 118.5 | NA | NA | 0.640711805555566 | NA | | 3 | 118.1 | NA | NA | 0.219878472222229 | NA | | 4 | 117.7 | NA | NA | -0.713454861111112 | NA | | 5 | 117.9 | NA | NA | -1.27491319444444 | NA | | 6 | 118.5 | NA | NA | -2.01657986111111 | NA | | 7 | 117 | 113.507378472222 | 115.833333333333 | -2.32595486111111 | 3.49262152777777 | | 8 | 115.6 | 116.009461805556 | 115.45 | 0.559461805555559 | -0.409461805555566 | | 9 | 113.7 | 117.368836805556 | 114.95 | 2.41883680555555 | -3.66883680555554 | | 10 | 112.1 | 115.373003472222 | 114.433333333333 | 0.939670138888884 | -3.27300347222221 | | 11 | 113.5 | 114.865711805556 | 113.879166666667 | 0.986545138888884 | -1.36571180555555 | | 12 | 113.5 | 113.684461805556 | 113.279166666667 | 0.405295138888883 | -0.184461805555557 | | 13 | 112.2 | 112.881336805556 | 112.720833333333 | 0.160503472222215 | -0.681336805555546 | | 14 | 112.7 | 113.044878472222 | 112.404166666667 | 0.640711805555566 | -0.344878472222206 | | 15 | 111.9 | 112.878211805556 | 112.658333333333 | 0.219878472222229 | -0.978211805555546 | | 16 | 111.5 | 112.653211805556 | 113.366666666667 | -0.713454861111112 | -1.15321180555553 | | 17 | 110.8 | 112.858420138889 | 114.133333333333 | -1.27491319444444 | -2.05842013888889 | | 18 | 111.2 | 112.862586805556 | 114.879166666667 | -2.01657986111111 | -1.66258680555555 | | 19 | 110.9 | 113.353211805556 | 115.679166666667 | -2.32595486111111 | -2.45321180555557 | | 20 | 114.1 | 117.088628472222 | 116.529166666667 | 0.559461805555559 | -2.98862847222223 | | 21 | 121.3 | 119.827170138889 | 117.408333333333 | 2.41883680555555 | 1.47282986111111 | | 22 | 121.5 | 119.310503472222 | 118.370833333333 | 0.939670138888884 | 2.18949652777779 | | 23 | 122.5 | 120.386545138889 | 119.4 | 0.986545138888884 | 2.11345486111111 | | 24 | 122.4 | 120.817795138889 | 120.4125 | 0.405295138888883 | 1.58220486111112 | | 25 | 122.5 | 121.481336805556 | 121.320833333333 | 0.160503472222215 | 1.01866319444446 | | 26 | 122.8 | 122.586545138889 | 121.945833333333 | 0.640711805555566 | 0.213454861111117 | | 27 | 122.9 | 122.274045138889 | 122.054166666667 | 0.219878472222229 | 0.625954861111111 | | 28 | 123.6 | 120.944878472222 | 121.658333333333 | -0.713454861111112 | 2.65512152777778 | | 29 | 123.4 | 119.704253472222 | 120.979166666667 | -1.27491319444444 | 3.69574652777779 | | 30 | 122.9 | 118.220920138889 | 120.2375 | -2.01657986111111 | 4.67907986111113 | | 31 | 121 | 117.174045138889 | 119.5 | -2.32595486111111 | 3.82595486111113 | | 32 | 119 | 119.334461805556 | 118.775 | 0.559461805555559 | -0.33446180555552 | | 33 | 119 | 120.498003472222 | 118.079166666667 | 2.41883680555555 | -1.49800347222221 | | 34 | 114.3 | 118.173003472222 | 117.233333333333 | 0.939670138888884 | -3.87300347222221 | | 35 | 113.4 | 117.236545138889 | 116.25 | 0.986545138888884 | -3.83654513888887 | | 36 | 113.7 | 115.667795138889 | 115.2625 | 0.405295138888883 | -1.96779513888889 | | 37 | 113.5 | 114.568836805556 | 114.408333333333 | 0.160503472222215 | -1.06883680555556 | | 38 | 114.4 | 114.544878472222 | 113.904166666667 | 0.640711805555566 | -0.144878472222203 | | 39 | 114.6 | 113.819878472222 | 113.6 | 0.219878472222229 | 0.78012152777778 | | 40 | 111.6 | 112.778211805556 | 113.491666666667 | -0.713454861111112 | -1.17821180555555 | | 41 | 111.8 | 112.345920138889 | 113.620833333333 | -1.27491319444444 | -0.545920138888874 | | 42 | 110.8 | 111.745920138889 | 113.7625 | -2.01657986111111 | -0.94592013888888 | | 43 | 112.6 | 111.607378472222 | 113.933333333333 | -2.32595486111111 | 0.992621527777771 | | 44 | 115.3 | 114.717795138889 | 114.158333333333 | 0.559461805555559 | 0.582204861111109 | | 45 | 115.4 | 116.781336805556 | 114.3625 | 2.41883680555555 | -1.38133680555552 | | 46 | 115.3 | 115.631336805556 | 114.691666666667 | 0.939670138888884 | -0.331336805555566 | | 47 | 115.5 | 116.132378472222 | 115.145833333333 | 0.986545138888884 | -0.632378472222214 | | 48 | 115 | 116.017795138889 | 115.6125 | 0.405295138888883 | -1.01779513888889 | | 49 | 116.3 | 116.218836805556 | 116.058333333333 | 0.160503472222215 | 0.081163194444457 | | 50 | 117 | 117.374045138889 | 116.733333333333 | 0.640711805555566 | -0.374045138888903 | | 51 | 116.9 | 117.978211805556 | 117.758333333333 | 0.219878472222229 | -1.07821180555555 | | 52 | 117.2 | 118.174045138889 | 118.8875 | -0.713454861111112 | -0.974045138888869 | | 53 | 117.1 | 118.841753472222 | 120.116666666667 | -1.27491319444444 | -1.74175347222223 | | 54 | 116.7 | 119.420920138889 | 121.4375 | -2.01657986111111 | -2.72092013888887 | | 55 | 117.4 | 120.415711805556 | 122.741666666667 | -2.32595486111111 | -3.01571180555554 | | 56 | 126.7 | 124.609461805556 | 124.05 | 0.559461805555559 | 2.09053819444446 | | 57 | 128.6 | 127.843836805556 | 125.425 | 2.41883680555555 | 0.756163194444454 | | 58 | 129.2 | 127.835503472222 | 126.895833333333 | 0.939670138888884 | 1.36449652777779 | | 59 | 131.1 | 129.394878472222 | 128.408333333333 | 0.986545138888884 | 1.70512152777778 | | 60 | 131.1 | 130.346961805556 | 129.941666666667 | 0.405295138888883 | 0.753038194444457 | | 61 | 131.5 | 131.468836805556 | 131.308333333333 | 0.160503472222215 | 0.0311631944444457 | | 62 | 133.2 | 132.553211805556 | 131.9125 | 0.640711805555566 | 0.646788194444468 | | 63 | 133.7 | 132.115711805556 | 131.895833333333 | 0.219878472222229 | 1.58428819444447 | | 64 | 135.7 | 130.924045138889 | 131.6375 | -0.713454861111112 | 4.7759548611111 | | 65 | 134.9 | 129.858420138889 | 131.133333333333 | -1.27491319444444 | 5.04157986111116 | | 66 | 135.7 | 128.533420138889 | 130.55 | -2.01657986111111 | 7.1665798611111 | | 67 | 131.2 | 127.640711805556 | 129.966666666667 | -2.32595486111111 | 3.55928819444443 | | 68 | 127.4 | 129.838628472222 | 129.279166666667 | 0.559461805555559 | -2.43862847222222 | | 69 | 127.5 | 130.977170138889 | 128.558333333333 | 2.41883680555555 | -3.47717013888888 | | 70 | 124.1 | 128.768836805556 | 127.829166666667 | 0.939670138888884 | -4.66883680555557 | | 71 | 124.1 | 128.019878472222 | 127.033333333333 | 0.986545138888884 | -3.91987847222225 | | 72 | 124.1 | 126.613628472222 | 126.208333333333 | 0.405295138888883 | -2.51362847222224 | | 73 | 124.5 | NA | NA | NA | NA | | 74 | 123.7 | NA | NA | NA | NA | | 75 | 125.9 | NA | NA | NA | NA | | 76 | 126 | NA | NA | NA | NA | | 77 | 125.5 | NA | NA | NA | NA | | 78 | 125.3 | NA | NA | NA | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/18/t1219073023mc3pzffqvaqpzou/1qqni1219072916.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/18/t1219073023mc3pzffqvaqpzou/1qqni1219072916.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/18/t1219073023mc3pzffqvaqpzou/2hk6k1219072916.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/18/t1219073023mc3pzffqvaqpzou/2hk6k1219072916.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/18/t1219073023mc3pzffqvaqpzou/38wgi1219072916.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/18/t1219073023mc3pzffqvaqpzou/38wgi1219072916.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/18/t1219073023mc3pzffqvaqpzou/4rbrq1219072916.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/18/t1219073023mc3pzffqvaqpzou/4rbrq1219072916.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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