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acf d=1 D=1

*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, 18 Dec 2008 12:00:40 -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/18/t1229626881rv33tkdy73dywog.htm/, Retrieved Thu, 18 Dec 2008 20:01:23 +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/18/t1229626881rv33tkdy73dywog.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 «
565464 547344 554788 562325 560854 555332 543599 536662 542722 593530 610763 612613 611324 594167 595454 590865 589379 584428 573100 567456 569028 620735 628884 628232 612117 595404 597141 593408 590072 579799 574205 572775 572942 619567 625809 619916 587625 565742 557274 560576 548854 531673 525919 511038 498662 555362 564591 541657 527070 509846 514258 516922 507561 492622 490243 469357 477580 528379 533590 517945
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.08259-0.56620.286973
20.0613750.42080.337921
30.1870351.28220.103023
40.0944520.64750.260219
5-0.061181-0.41940.338405
60.0651460.44660.328601
7-0.012371-0.08480.466387
80.0953360.65360.25828
9-0.050178-0.3440.366189
10-0.106513-0.73020.23444
110.2063141.41440.081915
12-0.234678-1.60890.057171
13-0.173414-1.18890.120232
140.1081970.74180.230961
15-0.112134-0.76880.222943
16-0.165558-1.1350.131064
170.005130.03520.486047
18-0.008811-0.06040.476044
190.0304950.20910.417651
200.0107630.07380.470746
210.0025710.01760.493005
220.0496820.34060.367461
230.0391770.26860.394713
24-0.103062-0.70660.241665
250.0213630.14650.442094
26-0.054055-0.37060.356306
27-0.032154-0.22040.413244
28-0.026235-0.17990.429018
290.1051180.72070.237346
30-0.075021-0.51430.304721
31-0.000736-0.0050.497997
32-0.026992-0.1850.426994
330.0045490.03120.487625
34-0.098759-0.67710.250844
35-0.040693-0.2790.390744
36-0.040028-0.27440.392482
37-0.000357-0.00250.499028
385.5e-054e-040.49985
39-0.02133-0.14620.442182
400.0262820.18020.428894
41-0.066974-0.45910.324122
42-0.017996-0.12340.451168
430.0388860.26660.395475
44-0.031347-0.21490.415387
45-0.016036-0.10990.456463
460.0072770.04990.48021
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.08259-0.56620.286973
20.0549290.37660.354093
30.1983091.35950.090232
40.1294570.88750.189661
5-0.068432-0.46910.320566
6-0.001735-0.01190.495281
7-0.042736-0.2930.385412
80.1070.73360.233431
9-0.027676-0.18970.425165
10-0.142432-0.97650.166916
110.1735161.18960.120096
12-0.215151-1.4750.07344
13-0.189945-1.30220.099597
140.0707130.48480.31504
15-0.050178-0.3440.36619
16-0.06623-0.4540.325942
17-0.040696-0.2790.390735
180.04260.29210.385766
190.0918330.62960.26601
200.0721420.49460.311601
210.0573880.39340.347891
22-0.083445-0.57210.285
230.0974730.66820.253624
24-0.071321-0.48890.313576
25-0.170081-1.1660.124746
26-0.060534-0.4150.340014
27-0.002218-0.01520.493967
28-0.076577-0.5250.30103
290.0981450.67280.25217
30-0.036529-0.25040.401673
31-0.018663-0.12790.449369
32-0.000958-0.00660.497393
330.041150.28210.389549
34-0.107563-0.73740.232268
350.0118760.08140.467726
360.0153940.10550.4582
37-0.076819-0.52660.300458
380.0285770.19590.422762
390.0128420.0880.465109
40-0.091936-0.63030.265782
41-0.071421-0.48960.313335
42-0.017487-0.11990.452543
430.0089650.06150.475626
44-0.008814-0.06040.476037
450.0919190.63020.26582
46-0.065845-0.45140.326886
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229626881rv33tkdy73dywog/1c6x71229626838.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229626881rv33tkdy73dywog/1c6x71229626838.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229626881rv33tkdy73dywog/2g2v61229626838.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229626881rv33tkdy73dywog/2g2v61229626838.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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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