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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: Fri, 04 Dec 2009 05:15:24 -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/04/t1259928965f9v2rosciwewi6m.htm/, Retrieved Fri, 04 Dec 2009 13:16:08 +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/04/t1259928965f9v2rosciwewi6m.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 «
20366 22782 19169 13807 29743 25591 29096 26482 22405 27044 17970 18730 19684 19785 18479 10698 31956 29506 34506 27165 26736 23691 18157 17328 18205 20995 17382 9367 31124 26551 30651 25859 25100 25778 20418 18688 20424 24776 19814 12738 31566 30111 30019 31934 25826 26835 20205 17789 20520 22518 15572 11509 25447 24090 27786 26195 20516 22759 19028 16971 20036
 
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
10.3214532.51060.007359
20.1356371.05940.146807
3-0.044166-0.34490.365661
4-0.213575-1.66810.050213
5-0.274227-2.14180.018107
6-0.521246-4.07116.8e-05
7-0.27636-2.15840.017419
8-0.147762-1.15410.126489
9-0.055135-0.43060.334131
100.0625740.48870.313397
110.2284091.78390.039704
120.7527465.87910
130.2313761.80710.037839
140.0738210.57660.28318
15-0.075086-0.58640.279871
16-0.209904-1.63940.053138
17-0.242257-1.89210.031614
18-0.421634-3.29310.000826
19-0.208761-1.63050.054078
20-0.104414-0.81550.208979
21-0.044258-0.34570.365391
220.0301170.23520.407412
230.1588021.24030.10981
240.5488064.28633.3e-05
250.2039511.59290.058175
260.0790020.6170.269757
27-0.007465-0.05830.47685
28-0.141752-1.10710.136295
29-0.138529-1.08190.141768
30-0.279893-2.1860.01633
31-0.137267-1.07210.143952
32-0.062645-0.48930.313202
33-0.03704-0.28930.38667
340.020890.16320.435467
350.0931510.72750.234843
360.3316682.59040.005987


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3214532.51060.007359
20.0360270.28140.389684
3-0.109187-0.85280.19856
4-0.196754-1.53670.06477
5-0.162736-1.2710.104276
6-0.437902-3.42010.000561
7-0.064344-0.50250.308546
8-0.095953-0.74940.228243
9-0.153962-1.20250.116912
10-0.153559-1.19930.117518
110.0327570.25580.399467
120.6461175.04632e-06
13-0.334561-2.6130.005643
14-0.188021-1.46850.073554
15-0.039198-0.30610.380268
160.042390.33110.370861
17-0.085878-0.67070.252463
180.095930.74920.228297
19-0.046354-0.3620.359288
20-0.226145-1.76620.041179
21-0.038712-0.30240.381706
220.0398220.3110.378423
23-0.116681-0.91130.18286
24-0.160176-1.2510.107853
250.133871.04560.149945
26-0.035961-0.28090.389883
270.0004810.00380.498507
28-0.012889-0.10070.460072
290.1056340.8250.206286
30-0.067716-0.52890.299405
31-0.017878-0.13960.444707
320.0579590.45270.326195
330.0047460.03710.485277
340.0125760.09820.46104
35-0.013833-0.1080.457159
36-0.1513-1.18170.120958
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259928965f9v2rosciwewi6m/1b1ma1259928922.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259928965f9v2rosciwewi6m/1b1ma1259928922.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/04/t1259928965f9v2rosciwewi6m/2unjq1259928922.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259928965f9v2rosciwewi6m/2unjq1259928922.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
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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