| werkloosheid voor jongeren -25jaar (kwartalen, 20 jaar), Jonas Janssens, MAR 202 B | | 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 12:04:05 -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/t1211047531tphrobtu1ky05cu.htm/, Retrieved Sat, 17 May 2008 20:05:38 +0200 | | | | User-defined keywords: | | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 18,3
15,3
18,6
18,2
16,1
13,1
16,5
16,5
14,7
12,1
15,7
15,7
14
11,7
15,2
15,6
14,3
12,5
16,6
18,1
18,5
17,6
22,6
23,9
23,2
20,6
24,2
24,5
22,9
20,4
23,9
24,1
22,3
19,5
23,3
23,4
21,8
19,8
23,3
23,2
21,2
19
23,8
24,3
23,1
21,6
22,2
17,4
15,6
14,5
20,3
16,1
14,1
15,3
17,8
19,6
17,8
15,7
18,9
18,4
20,8
19
24,5
22,6
19,6
17,5
25
22,3
20,5
19,9
23,4
22,1
20
18,9
23
20
18,6
19,2
20,3
17,8
| | | | Text written by user: | | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 18.3 | NA | NA | -0.426736111111112 | NA | | 2 | 15.3 | NA | NA | -2.23645833333333 | NA | | 3 | 18.6 | 19.0309027777778 | 17.325 | 1.70590277777778 | -0.430902777777778 | | 4 | 18.2 | 17.7322916666667 | 16.775 | 0.957291666666667 | 0.467708333333331 | | 5 | 16.1 | 15.8107638888889 | 16.2375 | -0.426736111111112 | 0.289236111111112 | | 6 | 13.1 | 13.5260416666667 | 15.7625 | -2.23645833333333 | -0.426041666666668 | | 7 | 16.5 | 17.0809027777778 | 15.375 | 1.70590277777778 | -0.580902777777778 | | 8 | 16.5 | 16.0322916666667 | 15.075 | 0.957291666666667 | 0.467708333333334 | | 9 | 14.7 | 14.4232638888889 | 14.85 | -0.426736111111112 | 0.276736111111111 | | 10 | 12.1 | 12.4135416666667 | 14.65 | -2.23645833333333 | -0.313541666666666 | | 11 | 15.7 | 16.1684027777778 | 14.4625 | 1.70590277777778 | -0.468402777777779 | | 12 | 15.7 | 15.2822916666667 | 14.325 | 0.957291666666667 | 0.417708333333334 | | 13 | 14 | 13.7857638888889 | 14.2125 | -0.426736111111112 | 0.214236111111111 | | 14 | 11.7 | 11.9010416666667 | 14.1375 | -2.23645833333333 | -0.201041666666669 | | 15 | 15.2 | 15.8684027777778 | 14.1625 | 1.70590277777778 | -0.66840277777778 | | 16 | 15.6 | 15.2572916666667 | 14.3 | 0.957291666666667 | 0.342708333333334 | | 17 | 14.3 | 14.1482638888889 | 14.575 | -0.426736111111112 | 0.151736111111111 | | 18 | 12.5 | 12.8260416666667 | 15.0625 | -2.23645833333333 | -0.326041666666667 | | 19 | 16.6 | 17.6059027777778 | 15.9 | 1.70590277777778 | -1.00590277777778 | | 20 | 18.1 | 18.0197916666667 | 17.0625 | 0.957291666666667 | 0.080208333333335 | | 21 | 18.5 | 18.0232638888889 | 18.45 | -0.426736111111112 | 0.476736111111112 | | 22 | 17.6 | 17.6885416666667 | 19.925 | -2.23645833333333 | -0.0885416666666643 | | 23 | 22.6 | 22.9434027777778 | 21.2375 | 1.70590277777778 | -0.343402777777776 | | 24 | 23.9 | 23.1572916666667 | 22.2 | 0.957291666666667 | 0.742708333333333 | | 25 | 23.2 | 22.3482638888889 | 22.775 | -0.426736111111112 | 0.851736111111109 | | 26 | 20.6 | 20.8135416666667 | 23.05 | -2.23645833333333 | -0.213541666666664 | | 27 | 24.2 | 24.7934027777778 | 23.0875 | 1.70590277777778 | -0.593402777777776 | | 28 | 24.5 | 23.9822916666667 | 23.025 | 0.957291666666667 | 0.517708333333335 | | 29 | 22.9 | 22.5357638888889 | 22.9625 | -0.426736111111112 | 0.364236111111111 | | 30 | 20.4 | 20.6385416666667 | 22.875 | -2.23645833333333 | -0.238541666666666 | | 31 | 23.9 | 24.4559027777778 | 22.75 | 1.70590277777778 | -0.555902777777778 | | 32 | 24.1 | 23.5197916666667 | 22.5625 | 0.957291666666667 | 0.580208333333335 | | 33 | 22.3 | 21.9482638888889 | 22.375 | -0.426736111111112 | 0.351736111111109 | | 34 | 19.5 | 19.9760416666667 | 22.2125 | -2.23645833333333 | -0.476041666666664 | | 35 | 23.3 | 23.7684027777778 | 22.0625 | 1.70590277777778 | -0.468402777777776 | | 36 | 23.4 | 22.9947916666667 | 22.0375 | 0.957291666666667 | 0.405208333333331 | | 37 | 21.8 | 21.6482638888889 | 22.075 | -0.426736111111112 | 0.151736111111109 | | 38 | 19.8 | 19.8135416666667 | 22.05 | -2.23645833333333 | -0.013541666666665 | | 39 | 23.3 | 23.6559027777778 | 21.95 | 1.70590277777778 | -0.355902777777775 | | 40 | 23.2 | 22.7322916666667 | 21.775 | 0.957291666666667 | 0.467708333333331 | | 41 | 21.2 | 21.3107638888889 | 21.7375 | -0.426736111111112 | -0.11076388888889 | | 42 | 19 | 19.7010416666667 | 21.9375 | -2.23645833333333 | -0.701041666666665 | | 43 | 23.8 | 24.0184027777778 | 22.3125 | 1.70590277777778 | -0.218402777777776 | | 44 | 24.3 | 23.8322916666667 | 22.875 | 0.957291666666667 | 0.467708333333334 | | 45 | 23.1 | 22.5732638888889 | 23 | -0.426736111111112 | 0.526736111111109 | | 46 | 21.6 | 19.7010416666667 | 21.9375 | -2.23645833333333 | 1.89895833333334 | | 47 | 22.2 | 21.8434027777778 | 20.1375 | 1.70590277777778 | 0.356597222222224 | | 48 | 17.4 | 19.2697916666667 | 18.3125 | 0.957291666666667 | -1.86979166666667 | | 49 | 15.6 | 16.7607638888889 | 17.1875 | -0.426736111111112 | -1.16076388888889 | | 50 | 14.5 | 14.5510416666667 | 16.7875 | -2.23645833333333 | -0.0510416666666664 | | 51 | 20.3 | 18.1434027777778 | 16.4375 | 1.70590277777778 | 2.15659722222222 | | 52 | 16.1 | 17.3072916666667 | 16.35 | 0.957291666666667 | -1.20729166666667 | | 53 | 14.1 | 15.7107638888889 | 16.1375 | -0.426736111111112 | -1.61076388888889 | | 54 | 15.3 | 14.0260416666667 | 16.2625 | -2.23645833333333 | 1.27395833333333 | | 55 | 17.8 | 18.8684027777778 | 17.1625 | 1.70590277777778 | -1.06840277777777 | | 56 | 19.6 | 18.6322916666667 | 17.675 | 0.957291666666667 | 0.967708333333334 | | 57 | 17.8 | 17.4357638888889 | 17.8625 | -0.426736111111112 | 0.364236111111111 | | 58 | 15.7 | 15.6135416666667 | 17.85 | -2.23645833333333 | 0.0864583333333364 | | 59 | 18.9 | 19.7809027777778 | 18.075 | 1.70590277777778 | -0.880902777777777 | | 60 | 18.4 | 19.8197916666667 | 18.8625 | 0.957291666666667 | -1.41979166666667 | | 61 | 20.8 | 19.5482638888889 | 19.975 | -0.426736111111112 | 1.25173611111111 | | 62 | 19 | 18.9635416666667 | 21.2 | -2.23645833333333 | 0.0364583333333357 | | 63 | 24.5 | 23.2809027777778 | 21.575 | 1.70590277777778 | 1.21909722222222 | | 64 | 22.6 | 22.1947916666667 | 21.2375 | 0.957291666666667 | 0.405208333333334 | | 65 | 19.6 | 20.6857638888889 | 21.1125 | -0.426736111111112 | -1.08576388888889 | | 66 | 17.5 | 18.9010416666667 | 21.1375 | -2.23645833333333 | -1.40104166666666 | | 67 | 25 | 22.9184027777778 | 21.2125 | 1.70590277777778 | 2.08159722222222 | | 68 | 22.3 | 22.5822916666667 | 21.625 | 0.957291666666667 | -0.282291666666666 | | 69 | 20.5 | 21.2982638888889 | 21.725 | -0.426736111111112 | -0.798263888888886 | | 70 | 19.9 | 19.2635416666667 | 21.5 | -2.23645833333333 | 0.636458333333334 | | 71 | 23.4 | 23.1184027777778 | 21.4125 | 1.70590277777778 | 0.281597222222221 | | 72 | 22.1 | 22.1822916666667 | 21.225 | 0.957291666666667 | -0.0822916666666629 | | 73 | 20 | 20.6232638888889 | 21.05 | -0.426736111111112 | -0.623263888888889 | | 74 | 18.9 | 18.5010416666667 | 20.7375 | -2.23645833333333 | 0.398958333333333 | | 75 | 23 | 22.0059027777778 | 20.3 | 1.70590277777778 | 0.994097222222226 | | 76 | 20 | 21.1197916666667 | 20.1625 | 0.957291666666667 | -1.11979166666667 | | 77 | 18.6 | 19.4357638888889 | 19.8625 | -0.426736111111112 | -0.835763888888888 | | 78 | 19.2 | 17.0135416666667 | 19.25 | -2.23645833333333 | 2.18645833333333 | | 79 | 20.3 | NA | NA | 1.70590277777778 | NA | | 80 | 17.8 | NA | NA | 0.957291666666667 | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211047531tphrobtu1ky05cu/1bs5o1211047443.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211047531tphrobtu1ky05cu/1bs5o1211047443.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211047531tphrobtu1ky05cu/20t1o1211047443.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211047531tphrobtu1ky05cu/20t1o1211047443.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211047531tphrobtu1ky05cu/327gx1211047443.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211047531tphrobtu1ky05cu/327gx1211047443.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211047531tphrobtu1ky05cu/47e7e1211047443.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/17/t1211047531tphrobtu1ky05cu/47e7e1211047443.ps (open in new window) |
| | | | Parameters (Session): | | par1 = additive ; par2 = 4 ; | | | | Parameters (R input): | | par1 = additive ; par2 = 4 ; | | | | 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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