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*The author of this computation has been verified*
R Software Module: /rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Thu, 17 Dec 2009 08:24:21 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/17/t1261063504au59jtjr9xar4fh.htm/, Retrieved Thu, 17 Dec 2009 16:25:06 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Dec/17/t1261063504au59jtjr9xar4fh.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
97,4 97 105,4 102,7 98,1 104,5 87,4 89,9 109,8 111,7 98,6 96,9 95,1 97 112,7 102,9 97,4 111,4 87,4 96,8 114,1 110,3 103,9 101,6 94,6 95,9 104,7 102,8 98,1 113,9 80,9 95,7 113,2 105,9 108,8 102,3 99 100,7 115,5 100,7 109,9 114,6 85,4 100,5 114,8 116,5 112,9 102 106 105,3 118,8 106,1 109,3 117,2 92,5 104,2 112,5 122,4 113,3 100 110,7 112,8 109,8 117,3 109,1 115,9 96 99,8 116,8
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1192890.99090.1626
2-0.136734-1.13580.129986
30.1041080.86480.195077
4-0.020608-0.17120.432291
50.2871682.38540.009906
60.4001433.32380.000712
70.2211141.83670.03528
8-0.012677-0.10530.458219
9-0.011224-0.09320.462993
10-0.176293-1.46440.073813
110.1152590.95740.170851
120.6883515.71790
130.0286330.23780.406352
14-0.167236-1.38920.084625
150.0330490.27450.392251
16-0.127136-1.05610.147309
170.1586071.31750.096016
180.2660942.21030.0152
190.0873020.72520.235397
20-0.052311-0.43450.332632
21-0.081648-0.67820.249951
22-0.243462-2.02230.02351
230.0551190.45790.324248
240.4412163.6650.000241
25-0.036797-0.30570.380391
26-0.161489-1.34140.09209
27-0.082424-0.68470.247925
28-0.154021-1.27940.102522
290.0545710.45330.325876
300.1092790.90770.183587
31-0.006338-0.05260.479083
32-0.116064-0.96410.169181
33-0.161713-1.34330.09179
34-0.242335-2.0130.02401
35-0.053664-0.44580.32858
360.2521692.09470.019937


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1192890.99090.1626
2-0.153143-1.27210.103804
30.1466631.21830.113635
4-0.083296-0.69190.245658
50.3656973.03770.001682
60.307822.55690.006381
70.351982.92380.002337
80.0252570.20980.417219
90.0734290.60990.271949
10-0.472615-3.92580.000101
11-0.143507-1.19210.118661
120.459653.81810.000145
13-0.039714-0.32990.371242
14-0.004659-0.03870.484622
150.0141070.11720.45353
16-0.054847-0.45560.325056
17-0.135601-1.12640.131952
18-0.157125-1.30520.098084
19-0.098613-0.81910.207763
20-0.030823-0.2560.399342
210.126951.05450.14766
220.0051630.04290.482959
230.0619380.51450.304275
24-0.012961-0.10770.457287
250.043980.36530.357993
26-0.051678-0.42930.334534
27-0.170566-1.41680.080517
280.0123760.10280.45921
29-0.082177-0.68260.248568
30-0.107537-0.89330.187409
31-0.08243-0.68470.247909
32-0.088246-0.7330.233014
33-0.050105-0.41620.339277
340.1262191.04850.149044
35-0.040844-0.33930.367716
360.0878290.72960.234062
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/17/t1261063504au59jtjr9xar4fh/1svom1261063457.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/17/t1261063504au59jtjr9xar4fh/1svom1261063457.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/17/t1261063504au59jtjr9xar4fh/2xk5o1261063457.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/17/t1261063504au59jtjr9xar4fh/2xk5o1261063457.ps (open in new window)


 
Parameters (Session):
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
 





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Software written by Ed van Stee & Patrick Wessa


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