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Partial Autocorrelation function d=0 D=0 Poland

*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, 12 Dec 2008 06:08:14 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/12/t1229087367zt423f42dz4h8hp.htm/, Retrieved Fri, 12 Dec 2008 14:09:29 +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/2008/Dec/12/t1229087367zt423f42dz4h8hp.htm/},
    year = {2008},
}
@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 = {2008},
    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 «
156.3 151.5 159.1 166.9 160.5 162.8 178.9 148.5 184.1 197 186.8 139.2 162.7 187.5 235.8 219.4 212.4 220.2 197.5 185.6 232.4 223.8 219.4 191.4 210.4 212.6 274.4 256 227.6 261.7 237 234.9 310.6 274.2 288.1 242.5 271.7 282.2 317.4 280.3 322.6 328.2 280.7 288.8 347.9 360.1 348 275.7 332.6 340.8 390.5 351.2 377.4 413.5 366.9 364.8 388 429.8 423.6 326.4
 
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
10.8863226.86540
20.7995726.19350
30.7453285.77330
40.7377315.71440
50.7024835.44141e-06
60.6611895.12152e-06
70.6065164.69818e-06
80.5483664.24763.8e-05
90.4781213.70350.000232
100.4405453.41240.000579
110.4321733.34760.000706
120.4213123.26350.00091
130.3277872.5390.006864
140.268642.08090.020861
150.2196011.7010.047058
160.2124411.64560.052542
170.1972611.5280.065887
180.1754311.35890.089636
190.1214360.94060.175331
200.0680980.52750.299901
210.0164320.12730.449572
22-0.01905-0.14760.441591
23-0.02166-0.16780.433663
24-0.036952-0.28620.387844
25-0.10635-0.82380.206663
26-0.145777-1.12920.131658
27-0.180794-1.40040.083268
28-0.194119-1.50360.06896
29-0.223486-1.73110.044285
30-0.234185-1.8140.03734
31-0.255055-1.97560.0264
32-0.287539-2.22730.014846
33-0.32463-2.51460.007308
34-0.339663-2.6310.005402
35-0.320395-2.48180.007946
36-0.320132-2.47970.007987
37-0.344937-2.67190.004849
38-0.361818-2.80260.003408
39-0.369967-2.86580.002864
40-0.368767-2.85650.002939
41-0.364363-2.82230.003229
42-0.356449-2.7610.003817
43-0.365073-2.82780.00318
44-0.376285-2.91470.002499
45-0.387854-3.00430.00194
46-0.386012-2.990.00202
47-0.358687-2.77840.003641
48-0.344601-2.66930.004882


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8863226.86540
20.065310.50590.307394
30.1173120.90870.183573
40.2255441.74710.042872
5-0.054014-0.41840.338577
60.0015820.01230.495133
7-0.065017-0.50360.308186
8-0.105824-0.81970.207813
9-0.128825-0.99790.161175
100.0552280.42780.335167
110.1222750.94710.173683
120.0453580.35130.363281
13-0.310702-2.40670.009597
140.077060.59690.276409
15-0.072588-0.56230.288014
160.0691120.53530.297197
170.0820850.63580.263654
18-0.026525-0.20550.418952
19-0.11416-0.88430.190037
20-0.055603-0.43070.334115
21-0.057121-0.44250.329874
22-0.102705-0.79550.214716
230.0938580.7270.23502
24-0.015104-0.1170.453628
25-0.144755-1.12130.13332
260.0799120.6190.269132
27-0.042529-0.32940.371489
28-0.091103-0.70570.241558
29-0.056538-0.43790.331501
300.0809570.62710.266489
310.0226650.17560.430616
32-0.086697-0.67160.252223
330.0018840.01460.494204
34-0.053228-0.41230.340792
350.0050390.0390.484496
360.0253270.19620.422565
370.0034110.02640.489503
38-0.071267-0.5520.291489
390.0243650.18870.42547
40-0.032867-0.25460.399956
41-0.004921-0.03810.484861
42-0.04341-0.33630.368927
43-0.037032-0.28680.38761
44-0.029989-0.23230.408551
45-0.000721-0.00560.497783
460.0014630.01130.495497
47-0.000622-0.00480.498087
48-0.006056-0.04690.481371
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/12/t1229087367zt423f42dz4h8hp/1pazj1229087293.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/12/t1229087367zt423f42dz4h8hp/1pazj1229087293.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/12/t1229087367zt423f42dz4h8hp/2ds4b1229087293.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/12/t1229087367zt423f42dz4h8hp/2ds4b1229087293.ps (open in new window)


 
Parameters (Session):
par1 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 0.1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
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 (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='lags',ylab='ACF')
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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