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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, 03 Dec 2009 12:06:55 -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/03/t1259867312tbldz8hf0sxmnj9.htm/, Retrieved Thu, 03 Dec 2009 20:08:34 +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/03/t1259867312tbldz8hf0sxmnj9.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 «
106.9 107.5 116.1 102 111.2 111.8 91.2 93 105.4 111.6 104.6 91.6 98.3 97.7 106.3 102.3 106.6 108.1 93.8 88.2 108.9 114.2 102.5 94.2 97.4 98.5 106.5 102.9 97.1 103.7 93.4 85.8 108.6 110.2 101.2 101.2 96.9 99.4 118.7 108 101.2 119.9 94.8 95.3 118 115.9 111.4 108.2 108.8 109.5 124.8 115.3 109.5 124.2 92.9 98.4 120.9 111.7 116.1 109.4 111.7 114.3 133.7 114.3 126.5 131 104 108.9 128.5 132.4 128 116.4 120.9 118.6 133.1 121.1 127.6 135.4 114.9 114.3 128.9 138.9 129.4 115 128 127 128.8 137.9 128.4 135.9 122.2 113.1 136.2 138 115.2 111
 
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
10.5977185.85640
20.4015823.93477.9e-05
30.5458965.34870
40.5247155.14111e-06
50.5863895.74540
60.6277056.15020
70.523715.13131e-06
80.460474.51179e-06
90.4092934.01026e-05
100.2748212.69270.004182
110.4528434.43691.2e-05
120.7101266.95780
130.3882063.80360.000125
140.2096692.05430.021331
150.3091183.02870.001577
160.3120013.0570.001448
170.3506573.43570.000437
180.3773113.69690.000182
190.2952472.89280.002362
200.2263462.21770.014466
210.1767571.73190.043256
220.0673390.65980.255484
230.2228742.18370.01571
240.3901243.82240.000117
250.1534231.50320.068031
26-0.011528-0.1130.455153
270.0375620.3680.35683
280.0629560.61680.269401
290.0749870.73470.232151
300.0772980.75740.225344
310.0406330.39810.345713
32-0.050742-0.49720.310104
33-0.110009-1.07790.141897
34-0.170073-1.66640.049449
35-0.074181-0.72680.234553
360.0851760.83460.203021


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5977185.85640
20.0689490.67560.250472
30.4395984.30722e-05
40.0877120.85940.196131
50.405373.97186.9e-05
60.1916411.87770.03173
70.1296391.27020.103543
8-0.023434-0.22960.409443
9-0.167476-1.64090.052043
10-0.462179-4.52849e-06
110.1133971.11110.134658
120.5103675.00061e-06
13-0.16912-1.6570.050389
14-0.124831-1.22310.112145
15-0.178117-1.74520.042076
160.0335760.3290.371445
17-0.145456-1.42520.078675
180.014150.13860.445012
190.0266580.26120.397249
200.0003210.00310.498747
210.0627040.61440.270211
22-0.054398-0.5330.297636
23-0.018854-0.18470.426917
24-0.159686-1.56460.060484
250.0717440.70290.241894
26-0.107469-1.0530.147498
27-0.059549-0.58350.280475
28-0.067962-0.66590.253539
29-0.051061-0.50030.309007
30-0.080708-0.79080.215512
310.080250.78630.216817
32-0.045957-0.45030.326759
33-0.008421-0.08250.467206
340.0063110.06180.475413
35-0.105113-1.02990.152823
360.1369681.3420.09138
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259867312tbldz8hf0sxmnj9/1j6v31259867213.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259867312tbldz8hf0sxmnj9/1j6v31259867213.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/03/t1259867312tbldz8hf0sxmnj9/230sd1259867213.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259867312tbldz8hf0sxmnj9/230sd1259867213.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 0.0 ; 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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