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Partial autcorrelation function d=1 Paper

*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, 11 Dec 2008 07:53:43 -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/11/t1229007323nk3rlzm79vpaa51.htm/, Retrieved Thu, 11 Dec 2008 14:55:25 +0000
 
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/11/t1229007323nk3rlzm79vpaa51.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},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
Partial autcorrelation function d=1 Paper
 
Dataseries X:
» Textbox « » Textfile « » CSV «
14929387.5 14717825.3 15826281.2 16301309.6 15033016.9 16998460.6 14066462.7 13328937.3 17319718.2 17586426.8 15887037.4 17935679.1 15869489 15892510.9 17556558.1 16791643 15953688.5 18144913.6 14390881 13885708.7 17332571.5 17152595.8 16003877.1 16841467.1 14783398.1 14667847.5 17714362.2 16282088 15014866.2 17722582.4 13876509.4 15495489.6 17799521.1 17920079.1 17248022.4 18813782.4 16249688.3 17823358.5 20424438.3 17814218.7 19699959.6 19776328.1 15679833.1 17119266.5 20092613 20863688.3 20925203.1 21032593 20664684.3 19711511.4 22553293.4 19498332.9 20722827.8 21321275 17960847.7 17789654.9 20003708.5 21169851.7 20422839.4 19810562.3
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.354421-2.72240.004255
2-0.349878-2.68750.00467
30.4409123.38670.000632
4-0.32881-2.52560.007127
5-0.172014-1.32130.095757
60.5890454.52451.5e-05
7-0.269427-2.06950.021443
8-0.207032-1.59020.058562
90.3976123.05410.001692
10-0.399925-3.07190.001608
11-0.159014-1.22140.113394
120.6880845.28531e-06
13-0.286209-2.19840.015927
14-0.208752-1.60350.057087
150.3166332.43210.009032
16-0.332921-2.55720.006571
17-0.044033-0.33820.368198
180.4294493.29870.000825
19-0.250063-1.92080.029799
20-0.098278-0.75490.22666
210.2810052.15840.017487
22-0.378011-2.90360.002592
230.0097180.07460.470375
240.4436693.40790.000593
25-0.281706-2.16380.017269
26-0.036795-0.28260.389225
270.1736831.33410.093651
28-0.249981-1.92010.029839
290.0407650.31310.377645
300.2427971.8650.033581
31-0.187856-1.4430.077161
320.012110.0930.463103
330.1339881.02920.153797
34-0.274454-2.10810.019639
350.079550.6110.271762
360.2256231.7330.044156
37-0.100695-0.77350.221171
38-0.057728-0.44340.329543
390.0705810.54210.294881
40-0.103518-0.79510.214861
410.0187110.14370.443105
420.1049180.80590.211771
43-0.073499-0.56460.287259
44-0.011061-0.0850.466291
450.0787660.6050.273746
46-0.123938-0.9520.172494
470.0229880.17660.430224
480.0919250.70610.241456
49-0.028722-0.22060.413077
50-0.018839-0.14470.442717
51-0.009405-0.07220.471326
52-0.006935-0.05330.478848
530.0029430.02260.49102
540.0111690.08580.46596
550.0049070.03770.485032
56-0.006449-0.04950.480329
57-0.002095-0.01610.493606
580.0009140.0070.49721
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.354421-2.72240.004255
2-0.543802-4.1774.9e-05
30.0921380.70770.240951
4-0.408827-3.14030.001319
5-0.393966-3.02610.001834
60.1468781.12820.131903
70.0002350.00180.499284
8-0.009956-0.07650.46965
90.1175290.90280.185163
10-0.226123-1.73690.043813
11-0.38467-2.95470.002245
120.2002271.5380.064701
130.1794571.37840.086637
140.1499761.1520.126987
15-0.066477-0.51060.305762
16-0.046426-0.35660.361331
170.0261940.20120.420617
18-0.121726-0.9350.1768
19-0.082047-0.63020.265493
20-0.100409-0.77130.221818
21-0.081914-0.62920.265825
22-0.166142-1.27620.103449
23-0.003502-0.02690.489317
24-0.02668-0.20490.419166
25-0.160774-1.23490.110877
26-0.085093-0.65360.25795
27-0.149252-1.14640.128124
280.0876540.67330.251697
29-0.001859-0.01430.494329
30-0.090388-0.69430.245114
31-0.043936-0.33750.368477
32-0.036086-0.27720.391305
33-0.024273-0.18640.426368
34-0.040023-0.30740.379801
35-0.066113-0.50780.306735
36-0.166443-1.27850.103044
370.2015211.54790.063496
38-0.038323-0.29440.384756
390.0196260.15070.440344
400.0133660.10270.459289
41-0.027611-0.21210.416387
42-0.032009-0.24590.40332
43-0.099264-0.76250.224412
44-0.115398-0.88640.189504
45-0.043268-0.33230.370402
460.035650.27380.392586
470.0488530.37520.354411
480.007730.05940.476426
49-0.222523-1.70920.046332
50-0.059001-0.45320.326036
51-0.068951-0.52960.29918
52-0.077417-0.59470.277175
53-0.003489-0.02680.489357
54-0.080586-0.6190.269152
550.0121140.0930.46309
560.0320660.24630.403152
570.0160830.12350.451051
58-0.054018-0.41490.339853
59NANANA
60NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t1229007323nk3rlzm79vpaa51/10a601229007222.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t1229007323nk3rlzm79vpaa51/10a601229007222.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t1229007323nk3rlzm79vpaa51/2y0cr1229007222.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t1229007323nk3rlzm79vpaa51/2y0cr1229007222.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; 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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Error 001_3: History of computation (impact.txt) is not saved due to a technical problem. We are sorry for this inconveniance and will correct it A.S.A.P.