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Clélia Comes - verbetering taak 9 (2)

R Software Module: rwasp_decompose.wasp (opens new window with default values)

Title produced by software: Classical Decomposition

Date of computation: Wed, 21 May 2008 08:21:19 -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/21/t1211379725t653smyw9d58ehf.htm/, Retrieved Wed, 21 May 2008 16:22:09 +0200

User-defined keywords:

Dataseries X:

» Textbox « » Textfile « » CSV «

1.48 1.57 1.58 1.58 1.58 1.58 1.59 1.6 1.6 1.61 1.61 1.61 1.62 1.63 1.63 1.64 1.64 1.64 1.64 1.64 1.65 1.65 1.65 1.65 1.65 1.66 1.66 1.67 1.68 1.68 1.68 1.68 1.69 1.7 1.7 1.71 1.72 1.73 1.74 1.74 1.75 1.75 1.75 1.76 1.79 1.83

Text written by user:

Output produced by software:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	1.48	NA	NA	-0.00173611111111094	NA
2	1.57	NA	NA	0.00451388888888871	NA
3	1.58	NA	NA	0.000763888888889008	NA
4	1.58	NA	NA	0.00701388888888888	NA
5	1.58	NA	NA	0.00368055555555546	NA
6	1.58	NA	NA	0.000347222222222054	NA
7	1.59	1.58576388888889	1.58833333333333	-0.00256944444444440	0.00423611111111133
8	1.6	1.59159722222222	1.59666666666667	-0.00506944444444435	0.0084027777777782
9	1.6	1.60368055555556	1.60125	0.00243055555555549	-0.00368055555555524
10	1.61	1.60576388888889	1.60583333333333	-6.94444444444553e-05	0.00423611111111133
11	1.61	1.60784722222222	1.61083333333333	-0.00298611111111113	0.00215277777777789
12	1.61	1.60951388888889	1.61583333333333	-0.00631944444444432	0.000486111111110965
13	1.62	1.61868055555556	1.62041666666667	-0.00173611111111094	0.00131944444444443
14	1.63	1.62868055555556	1.62416666666667	0.00451388888888871	0.00131944444444443
15	1.63	1.62868055555556	1.62791666666667	0.000763888888889008	0.00131944444444443
16	1.64	1.63868055555556	1.63166666666667	0.00701388888888888	0.00131944444444443
17	1.64	1.63868055555556	1.635	0.00368055555555546	0.00131944444444443
18	1.64	1.63868055555556	1.63833333333333	0.000347222222222054	0.00131944444444443
19	1.64	1.63868055555556	1.64125	-0.00256944444444440	0.00131944444444443
20	1.64	1.63868055555556	1.64375	-0.00506944444444435	0.00131944444444443
21	1.65	1.64868055555556	1.64625	0.00243055555555549	0.00131944444444443
22	1.65	1.64868055555556	1.64875	-6.94444444444553e-05	0.00131944444444443
23	1.65	1.64868055555556	1.65166666666667	-0.00298611111111113	0.00131944444444443
24	1.65	1.64868055555556	1.655	-0.00631944444444432	0.00131944444444443
25	1.65	1.65659722222222	1.65833333333333	-0.00173611111111094	-0.00659722222222237
26	1.66	1.66618055555556	1.66166666666667	0.00451388888888871	-0.00618055555555519
27	1.66	1.66576388888889	1.665	0.000763888888889008	-0.0057638888888889
28	1.67	1.67576388888889	1.66875	0.00701388888888888	-0.0057638888888889
29	1.68	1.67659722222222	1.67291666666667	0.00368055555555546	0.00340277777777787
30	1.68	1.67784722222222	1.6775	0.000347222222222054	0.00215277777777789
31	1.68	1.68034722222222	1.68291666666667	-0.00256944444444440	-0.000347222222222054
32	1.68	1.68368055555556	1.68875	-0.00506944444444435	-0.00368055555555524
33	1.69	1.69743055555555	1.695	0.00243055555555549	-0.00743055555555494
34	1.7	1.70118055555556	1.70125	-6.94444444444553e-05	-0.00118055555555507
35	1.7	1.70409722222222	1.70708333333333	-0.00298611111111113	-0.00409722222222197
36	1.71	1.70659722222222	1.71291666666667	-0.00631944444444432	0.00340277777777787
37	1.72	NA	1.71875	NA	NA
38	1.73	NA	1.725	NA	NA
39	1.74	NA	1.7325	NA	NA
40	1.74	NA	1.74208333333333	NA	NA
41	1.75	NA	NA	NA	NA
42	1.75	NA	NA	NA	NA
43	1.75	NA	NA	NA	NA
44	1.76	NA	NA	NA	NA
45	1.79	NA	NA	NA	NA
46	1.83	NA	NA	NA	NA

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/21/t1211379725t653smyw9d58ehf/104hd1211379677.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/21/t1211379725t653smyw9d58ehf/104hd1211379677.ps (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/21/t1211379725t653smyw9d58ehf/2hyq41211379677.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/21/t1211379725t653smyw9d58ehf/2hyq41211379677.ps (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/21/t1211379725t653smyw9d58ehf/30ygy1211379677.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/21/t1211379725t653smyw9d58ehf/30ygy1211379677.ps (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/21/t1211379725t653smyw9d58ehf/4ew9q1211379677.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/21/t1211379725t653smyw9d58ehf/4ew9q1211379677.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')

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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