| gemiddelde prijs inktjet printer (additief model)-Sanne Dangez | | 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 09:54:05 -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/20/t1211298931be6b7ydkdk8fkrn.htm/, Retrieved Tue, 20 May 2008 17:55:36 +0200 | | | | User-defined keywords: | | | | | Dataseries X: | | » Textbox « » Textfile « » CSV « | | 58,1
57,9
57,3
55,9
55
55,9
56,6
57,3
56,2
57,7
56,8
57,9
58,3
58,2
56,9
57,1
56,7
54,2
54,2
52,1
51,5
51,8
53
52,4
52,41
52,36
52,94
52,34
51,84
51,42
50,85
50,66
51,53
51,59
52,32
51,98
51,17
50,57
49,84
50,12
49,08
48,57
47,22
46,78
46,04
45,05
44,42
44,09
44,46
44,34
43,04
42,87
42,32
42,49
41,94
41,6
41,42
41,12
41,28
40,21
39,69
39,16
38,8
38,44
37,02
36,75
35,95
36,29
36,35
36,07
36,6
36,5 | | | | Text written by user: | | | | | Output produced by software: |
| Classical Decomposition by Moving Averages | | t | Observations | Fit | Trend | Seasonal | Random | | 1 | 58.1 | NA | NA | 0.545685763888883 | NA | | 2 | 57.9 | NA | NA | 0.644435763888889 | NA | | 3 | 57.3 | NA | NA | 0.274435763888886 | NA | | 4 | 55.9 | NA | NA | 0.528602430555558 | NA | | 5 | 55 | NA | NA | 0.240477430555555 | NA | | 6 | 55.9 | NA | NA | -0.228585069444441 | NA | | 7 | 56.6 | 56.4237065972222 | 56.8916666666667 | -0.467960069444447 | 0.176293402777780 | | 8 | 57.3 | 56.0692274305556 | 56.9125 | -0.843272569444441 | 1.23077256944445 | | 9 | 56.2 | 56.2894357638889 | 56.9083333333333 | -0.618897569444441 | -0.0894357638888863 | | 10 | 57.7 | 56.4731857638889 | 56.9416666666667 | -0.46848090277778 | 1.22681423611112 | | 11 | 56.8 | 57.3583940972222 | 57.0625 | 0.295894097222223 | -0.558394097222227 | | 12 | 57.9 | 57.1601649305555 | 57.0625 | 0.097664930555554 | 0.739835069444453 | | 13 | 58.3 | 57.4373524305556 | 56.8916666666667 | 0.545685763888883 | 0.862647569444441 | | 14 | 58.2 | 57.2194357638889 | 56.575 | 0.644435763888889 | 0.9805642361111 | | 15 | 56.9 | 56.4369357638889 | 56.1625 | 0.274435763888886 | 0.463064236111101 | | 16 | 57.1 | 56.2494357638889 | 55.7208333333333 | 0.528602430555558 | 0.850564236111111 | | 17 | 56.7 | 55.5571440972222 | 55.3166666666667 | 0.240477430555555 | 1.14285590277778 | | 18 | 54.2 | 54.7005815972222 | 54.9291666666667 | -0.228585069444441 | -0.500581597222222 | | 19 | 54.2 | 53.9866232638889 | 54.4545833333333 | -0.467960069444447 | 0.213376736111115 | | 20 | 52.1 | 53.1225607638889 | 53.9658333333333 | -0.843272569444441 | -1.02256076388888 | | 21 | 51.5 | 52.9386024305556 | 53.5575 | -0.618897569444441 | -1.43860243055556 | | 22 | 51.8 | 52.7256857638889 | 53.1941666666667 | -0.46848090277778 | -0.925685763888886 | | 23 | 53 | 53.0892274305556 | 52.7933333333333 | 0.295894097222223 | -0.0892274305555532 | | 24 | 52.4 | 52.5726649305555 | 52.475 | 0.097664930555554 | -0.172664930555548 | | 25 | 52.41 | 52.7652690972222 | 52.2195833333333 | 0.545685763888883 | -0.355269097222219 | | 26 | 52.36 | 52.6644357638889 | 52.02 | 0.644435763888889 | -0.304435763888875 | | 27 | 52.94 | 52.2356857638889 | 51.96125 | 0.274435763888886 | 0.70431423611111 | | 28 | 52.34 | 52.4823524305556 | 51.95375 | 0.528602430555558 | -0.142352430555547 | | 29 | 51.84 | 52.1571440972222 | 51.9166666666667 | 0.240477430555555 | -0.317144097222219 | | 30 | 51.42 | 51.6422482638889 | 51.8708333333333 | -0.228585069444441 | -0.222248263888879 | | 31 | 50.85 | 51.3337065972222 | 51.8016666666667 | -0.467960069444447 | -0.483706597222216 | | 32 | 50.66 | 50.8321440972222 | 51.6754166666667 | -0.843272569444441 | -0.172144097222215 | | 33 | 51.53 | 50.8527690972222 | 51.4716666666667 | -0.618897569444441 | 0.677230902777787 | | 34 | 51.59 | 50.7815190972222 | 51.25 | -0.46848090277778 | 0.808480902777781 | | 35 | 52.32 | 51.3383940972222 | 51.0425 | 0.295894097222223 | 0.981605902777787 | | 36 | 51.98 | 50.9064149305555 | 50.80875 | 0.097664930555554 | 1.07358506944445 | | 37 | 51.17 | 51.0844357638889 | 50.53875 | 0.545685763888883 | 0.085564236111118 | | 38 | 50.57 | 50.8702690972222 | 50.2258333333333 | 0.644435763888889 | -0.300269097222213 | | 39 | 49.84 | 50.1098524305555 | 49.8354166666667 | 0.274435763888886 | -0.269852430555545 | | 40 | 50.12 | 49.8627690972222 | 49.3341666666667 | 0.528602430555558 | 0.257230902777778 | | 41 | 49.08 | 48.9729774305556 | 48.7325 | 0.240477430555555 | 0.107022569444446 | | 42 | 48.57 | 47.8459982638889 | 48.0745833333333 | -0.228585069444441 | 0.724001736111113 | | 43 | 47.22 | 46.9982899305556 | 47.46625 | -0.467960069444447 | 0.221710069444441 | | 44 | 46.78 | 46.0838107638889 | 46.9270833333333 | -0.843272569444441 | 0.696189236111117 | | 45 | 46.04 | 45.7652690972222 | 46.3841666666667 | -0.618897569444441 | 0.274730902777783 | | 46 | 45.05 | 45.3302690972222 | 45.79875 | -0.46848090277778 | -0.280269097222231 | | 47 | 44.42 | 45.5108940972222 | 45.215 | 0.295894097222223 | -1.09089409722223 | | 48 | 44.09 | 44.7776649305556 | 44.68 | 0.097664930555554 | -0.687664930555549 | | 49 | 44.46 | 44.7523524305556 | 44.2066666666667 | 0.545685763888883 | -0.292352430555553 | | 50 | 44.34 | 44.4152690972222 | 43.7708333333333 | 0.644435763888889 | -0.0752690972222112 | | 51 | 43.04 | 43.6369357638889 | 43.3625 | 0.274435763888886 | -0.596935763888887 | | 52 | 42.87 | 43.5348524305556 | 43.00625 | 0.528602430555558 | -0.664852430555555 | | 53 | 42.32 | 42.9521440972222 | 42.7116666666667 | 0.240477430555555 | -0.632144097222223 | | 54 | 42.49 | 42.1905815972222 | 42.4191666666667 | -0.228585069444441 | 0.299418402777782 | | 55 | 41.94 | 41.5907899305556 | 42.05875 | -0.467960069444447 | 0.349210069444439 | | 56 | 41.6 | 40.8008940972222 | 41.6441666666667 | -0.843272569444441 | 0.799105902777782 | | 57 | 41.42 | 40.6327690972222 | 41.2516666666667 | -0.618897569444441 | 0.787230902777779 | | 58 | 41.12 | 40.4219357638889 | 40.8904166666667 | -0.46848090277778 | 0.698064236111115 | | 59 | 41.28 | 40.7808940972222 | 40.485 | 0.295894097222223 | 0.499105902777778 | | 60 | 40.21 | 40.1226649305556 | 40.025 | 0.097664930555554 | 0.0873350694444426 | | 61 | 39.69 | 40.0819357638889 | 39.53625 | 0.545685763888883 | -0.391935763888888 | | 62 | 39.16 | 39.7098524305556 | 39.0654166666667 | 0.644435763888889 | -0.54985243055556 | | 63 | 38.8 | 38.9073524305556 | 38.6329166666667 | 0.274435763888886 | -0.107352430555565 | | 64 | 38.44 | 38.7398524305556 | 38.21125 | 0.528602430555558 | -0.299852430555553 | | 65 | 37.02 | 38.0463107638889 | 37.8058333333333 | 0.240477430555555 | -1.02631076388889 | | 66 | 36.75 | 37.2276649305556 | 37.45625 | -0.228585069444441 | -0.477664930555555 | | 67 | 35.95 | NA | NA | -0.467960069444447 | NA | | 68 | 36.29 | NA | NA | -0.843272569444441 | NA | | 69 | 36.35 | NA | NA | -0.618897569444441 | NA | | 70 | 36.07 | NA | NA | -0.46848090277778 | NA | | 71 | 36.6 | NA | NA | 0.295894097222223 | NA | | 72 | 36.5 | NA | NA | 0.097664930555554 | NA |
| | | Charts produced by software: |  | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211298931be6b7ydkdk8fkrn/19voh1211298841.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211298931be6b7ydkdk8fkrn/19voh1211298841.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211298931be6b7ydkdk8fkrn/2kkkc1211298841.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211298931be6b7ydkdk8fkrn/2kkkc1211298841.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211298931be6b7ydkdk8fkrn/3qwgl1211298841.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211298931be6b7ydkdk8fkrn/3qwgl1211298841.ps (open in new window) |
 | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211298931be6b7ydkdk8fkrn/4fspm1211298841.png (open in new window) | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/20/t1211298931be6b7ydkdk8fkrn/4fspm1211298841.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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