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workshop 8

*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, 26 Nov 2009 11:42:50 -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/Nov/26/t1259261017a12alo6r7rpzhli.htm/, Retrieved Thu, 26 Nov 2009 19:43:40 +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/Nov/26/t1259261017a12alo6r7rpzhli.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 «
6.9 6.8 6.7 6.6 6.5 6.5 7.0 7.5 7.6 7.6 7.6 7.8 8.0 8.0 8.0 7.9 7.9 8.0 8.5 9.2 9.4 9.5 9.5 9.6 9.7 9.7 9.6 9.5 9.4 9.3 9.6 10.2 10.2 10.1 9.9 9.8 9.8 9.7 9.5 9.3 9.1 9.0 9.5 10.0 10.2 10.1 10.0 9.9 10.0 9.9 9.7 9.5 9.2 9.0 9.3 9.8 9.8 9.6 9.4 9.3 9.2 9.2 9.0 8.8 8.7 8.7 9.1 9.7 9.8 9.6 9.4 9.4 9.5 9.4 9.3 9.2 9.0 8.9 9.2 9.8 9.9 9.6 9.2 9.1 9.1 9.0 8.9 8.7 8.5 8.3 8.5 8.7 8.4 8.1 7.8 7.7 7.5 7.2 6.8 6.7 6.4 6.3 6.8 7.3 7.1 7.0 6.8 6.6 6.3 6.1 6.1 6.3 6.3 6.0 6.2 6.4 6.8 7.5 7.5 7.6 7.6 7.4 7.3 7.1 6.9 6.8 7.5 7.6 7.8 8.0 8.1 8.2 8.3 8.2 8.0 7.9 7.6 7.6 8.3 8.4 8.4 8.4 8.4 8.6 8.9 8.8 8.3 7.5 7.2 7.4 8.8 9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.5 8.2 8.1 7.9 8.6 8.7 8.7 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8.0 8.2 8.1 8.1 8.0 7.9 7.9
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4960356.41020
2-0.004526-0.05850.476713
3-0.380567-4.9181e-06
4-0.309041-3.99374.9e-05
5-0.050496-0.65260.25747
60.1956052.52780.006204
70.2824023.64940.000176
80.2095582.70810.003736
90.1304811.68620.046814
10-0.070408-0.90990.182102
11-0.187652-2.4250.008187
12-0.287396-3.7140.000139
13-0.094755-1.22450.111244
140.0587620.75940.224349
150.1381531.78530.038012
160.098321.27060.102825
17-0.003175-0.0410.483658
18-0.078468-1.0140.156018
19-0.144841-1.87180.031494
20-0.082593-1.06730.14368
21-0.070042-0.90510.183346
22-0.008034-0.10380.45872
230.0095750.12370.450837
24-0.026614-0.34390.365665
25-0.01699-0.21960.413244
26-0.03508-0.45330.32545
27-0.030731-0.39710.34589
28-0.112853-1.45840.073306
29-0.147411-1.9050.029252
30-0.140276-1.81280.035832
310.0381490.4930.311332
320.1835632.37220.009412
330.2114062.7320.003486
340.0612690.79180.214808
35-0.176036-2.27490.012092
36-0.275083-3.55490.000246


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4960356.41020
2-0.332352-4.29491.5e-05
3-0.317172-4.09883.2e-05
40.0980251.26680.103502
50.0641810.82940.204031
60.0466930.60340.273529
70.099541.28630.100052
80.0798361.03170.151852
90.1629192.10540.018377
10-0.123946-1.60170.055553
11-0.061168-0.79050.215188
12-0.163108-2.10780.01827
130.1071071.38410.084083
14-0.092003-1.18890.118075
15-0.108868-1.40690.08066
160.0491510.63520.263095
170.0156210.20190.420131
18-0.010015-0.12940.448588
19-0.066591-0.86050.195363
200.066030.85330.197358
21-0.04466-0.57710.282314
22-0.071598-0.92520.178087
23-0.021687-0.28030.389815
24-0.139648-1.80460.036466
250.1064271.37530.085435
26-0.066244-0.85610.196597
27-0.055036-0.71120.238968
28-0.096851-1.25160.106234
29-0.079299-1.02480.153477
30-0.03048-0.39390.347085
310.0890041.15020.125855
320.1162521.50230.067453
330.0290220.3750.354052
34-0.028963-0.37430.354333
35-0.099692-1.28830.099711
36-0.118209-1.52760.064252
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259261017a12alo6r7rpzhli/1edq91259260968.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259261017a12alo6r7rpzhli/1edq91259260968.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/26/t1259261017a12alo6r7rpzhli/2lv641259260968.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259261017a12alo6r7rpzhli/2lv641259260968.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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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