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ACF d=0 D=0

*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: Wed, 02 Dec 2009 11:51:07 -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/02/t12597799522nhu76v44ww2nez.htm/, Retrieved Wed, 02 Dec 2009 19:52:34 +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/02/t12597799522nhu76v44ww2nez.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 «
111,5 108,1 124,5 106,3 111,1 121,3 116,5 117,4 123,6 98,4 107,2 118,9 111,9 115,2 124,4 104,6 117 126,2 117,5 122,2 124,1 105,8 107,5 125,6 112,1 120,1 130,6 109,8 122,1 129,5 132,1 133,3 128,4 114,7 114,1 136,9 123,4 134 137 127,8 140,1 140,4 157,8 151,8 141,1 138,8 141,1 139,5 150,7 144,4 146 143,6 143,1 156,4 164,8 145,1 153,4 133,2 131,4 145,9
 
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
10.7139735.53040
20.6478525.01822e-06
30.704375.4560
40.5363974.15495.2e-05
50.5892174.56411.3e-05
60.6629515.13522e-06
70.4758043.68560.000246
80.4199393.25280.000939
90.4637653.59230.000331
100.3671932.84430.00304
110.410273.17790.001173
120.4793123.71270.000226
130.2967892.29890.012504
140.2160171.67330.049741
150.1920771.48780.071017
160.1025410.79430.215081
170.0906130.70190.242733
180.1162760.90070.185682
190.0064010.04960.480312
20-0.091601-0.70950.240369
21-0.039387-0.30510.380676
22-0.100138-0.77570.220498
23-0.082197-0.63670.263371
24-0.022128-0.17140.432241
25-0.141849-1.09880.138132
26-0.204085-1.58080.059587
27-0.203425-1.57570.060174
28-0.229131-1.77480.040498
29-0.254324-1.970.02673
30-0.23082-1.78790.039419
31-0.281603-2.18130.016546
32-0.333408-2.58260.006132
33-0.289003-2.23860.014451
34-0.307547-2.38220.010197
35-0.309442-2.39690.009832
36-0.26686-2.06710.021524


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7139735.53040
20.2816862.18190.016521
30.3788672.93470.002363
4-0.198633-1.53860.064579
50.2729062.11390.019344
60.2149041.66460.0506
7-0.237454-1.83930.035409
8-0.240272-1.86110.033813
90.1317191.02030.155844
100.0937450.72610.235286
110.0566890.43910.331078
120.0759990.58870.27914
13-0.2013-1.55930.062097
14-0.256268-1.9850.025858
15-0.228486-1.76980.040917
160.0428870.33220.370449
17-0.105958-0.82070.20752
180.0271120.210.417188
190.0748350.57970.282154
20-0.072277-0.55990.28883
210.0904950.7010.243016
22-0.057458-0.44510.328936
230.0749720.58070.281799
24-0.025629-0.19850.421654
25-0.020381-0.15790.437545
26-0.026133-0.20240.420133
27-0.079577-0.61640.269981
280.0958150.74220.230438
29-0.128675-0.99670.161453
30-0.078561-0.60850.272566
310.0313630.24290.404441
320.090610.70190.24274
33-0.037065-0.28710.38751
34-0.120278-0.93170.177621
35-0.077975-0.6040.274062
360.0069110.05350.478743
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/02/t12597799522nhu76v44ww2nez/194iw1259779866.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/02/t12597799522nhu76v44ww2nez/194iw1259779866.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/02/t12597799522nhu76v44ww2nez/2yxl11259779866.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/02/t12597799522nhu76v44ww2nez/2yxl11259779866.ps (open in new window)


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