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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, 26 Nov 2009 04:03:03 -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/t1259233450q1s61jbm7qhenbs.htm/, Retrieved Thu, 26 Nov 2009 12:04:12 +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/t1259233450q1s61jbm7qhenbs.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
 
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
1-0.03838-0.26310.396804
20.1977151.35550.090874
30.2728341.87050.033827
40.0483520.33150.370875
50.1752831.20170.117754
60.1698741.16460.12503
7-0.187311-1.28410.102694
8-0.005327-0.03650.485512
90.1129010.7740.2214
10-0.224438-1.53870.065295
11-0.032477-0.22260.412386
12-0.176232-1.20820.116509
13-0.130201-0.89260.188306
14-0.029575-0.20280.4201
15-0.038988-0.26730.395208
16-0.200372-1.37370.088029
170.1031670.70730.241444
18-0.091228-0.62540.267357
19-0.110603-0.75830.226042
20-0.018222-0.12490.450559
210.0462780.31730.376223
22-0.167194-1.14620.128752
230.1017850.69780.244369
24-0.146958-1.00750.159428
25-0.100788-0.6910.246492
260.1717741.17760.122438
27-0.109719-0.75220.227842
28-0.024038-0.16480.434906
290.0043810.030.488084
30-0.058668-0.40220.344678
310.0784650.53790.296581
320.0457920.31390.37748
33-0.140644-0.96420.169938
340.0480820.32960.371571
350.04210.28860.38707
36-0.062546-0.42880.335017


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.03838-0.26310.396804
20.1965321.34740.092163
30.2984232.04590.023193
40.0497950.34140.36717
50.0791240.54240.295038
60.1080990.74110.231164
7-0.272452-1.86780.034014
8-0.212677-1.4580.07574
90.1128560.77370.221492
10-0.109152-0.74830.229001
11-0.097019-0.66510.254609
12-0.128308-0.87960.191766
130.0356690.24450.403941
140.0147990.10150.45981
150.0755180.51770.303539
16-0.0332-0.22760.410471
170.1433880.9830.165315
18-0.049021-0.33610.369156
19-0.18664-1.27950.103494
20-0.16841-1.15460.127053
210.1871811.28320.102848
22-0.163218-1.1190.13442
23-0.034135-0.2340.407994
24-0.087224-0.5980.276362
250.0022820.01560.493791
260.0935120.64110.26229
270.0460040.31540.376932
280.0360410.24710.40296
29-0.025598-0.17550.430724
30-0.132122-0.90580.184836
310.042380.29050.386339
32-0.073835-0.50620.307546
33-0.02716-0.18620.426546
34-0.104223-0.71450.239222
350.0252470.17310.431665
36-0.066896-0.45860.324312
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259233450q1s61jbm7qhenbs/1s9yc1259233381.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259233450q1s61jbm7qhenbs/1s9yc1259233381.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/26/t1259233450q1s61jbm7qhenbs/2kta51259233381.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259233450q1s61jbm7qhenbs/2kta51259233381.ps (open in new window)


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