Home » date » 2008 » Dec » 13 »

ACF d=1 d=0 Yt

*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: Sat, 13 Dec 2008 03:40:32 -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/13/t1229164989wpu4ljrcazxgdpw.htm/, Retrieved Sat, 13 Dec 2008 11:43:09 +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/13/t1229164989wpu4ljrcazxgdpw.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 «
6.4 6.8 7.5 7.5 7.6 7.6 7.4 7.3 7.1 6.9 6.8 7.5 7.6 7.8 8 8.1 8.2 8.3 8.2 8 7.9 7.6 7.6 8.2 8.3 8.4 8.4 8.4 8.6 8.9 8.8 8.3 7.5 7.2 7.5 8.8 9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.6 8.2 8.1 8 8.6 8.7 8.8 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8.1 8.2 8.1 8.1 7.9 7.9 7.9 8 8 7.9 8 7.7 7.2 7.5 7.3 7 7 7 7.2 7.3 7.1 6.8 6.6 6.2 6.2 6.8
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4332323.65050.000248
2-0.14058-1.18450.120074
3-0.552101-4.65217e-06
4-0.577141-4.86313e-06
5-0.171046-1.44130.076954
60.163341.37630.086523
70.312792.63560.005153
80.2601882.19240.015815
90.0869460.73260.233102
10-0.095866-0.80780.210958
11-0.127948-1.07810.142316
12-0.182304-1.53610.064476
13-0.056509-0.47620.317713
140.0723160.60930.27212
150.1316911.10960.135448
160.0639920.53920.295715
17-0.069249-0.58350.280701
18-0.014659-0.12350.451023
19-0.044854-0.3780.353297
200.0817110.68850.246687
210.0603130.50820.306441
22-0.026761-0.22550.411122
23-0.073329-0.61790.269314
24-0.138636-1.16820.123324
250.0076780.06470.474298
260.0959970.80890.210641
270.1064410.89690.186406
28-0.019253-0.16220.435794
29-0.152362-1.28380.101689
30-0.190744-1.60720.056221
310.0273860.23080.409082
320.2007311.69140.047574
330.2296461.9350.028485
340.097920.82510.206043
35-0.140734-1.18580.119819
36-0.197216-1.66180.050484
37-0.158466-1.33530.093029
380.0287260.2420.40472
390.0953830.80370.212122
400.1328571.11950.133355
410.1169870.98580.163801
42-0.030846-0.25990.397842
43-0.099794-0.84090.20162
44-0.180197-1.51840.066682
45-0.069737-0.58760.279326
460.0789690.66540.253975
470.1535731.2940.099925
480.1109120.93460.176592


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4332323.65050.000248
2-0.404118-3.40520.000546
3-0.428909-3.61410.00028
4-0.308867-2.60260.005628
5-0.015036-0.12670.449769
6-0.19318-1.62780.054003
7-0.169519-1.42840.078782
8-0.066253-0.55830.289213
9-0.003155-0.02660.489432
10-0.090846-0.76550.22326
110.0487180.41050.341336
12-0.155269-1.30830.097492
130.0549490.4630.322388
140.0267980.22580.411
150.0320890.27040.393823
16-0.137734-1.16060.124852
17-0.072988-0.6150.270257
180.1855011.56310.061243
19-0.12958-1.09190.139294
200.1310921.10460.136531
21-0.007326-0.06170.475476
220.0095860.08080.467926
230.0015550.01310.49479
24-0.099216-0.8360.202977
250.1332391.12270.132675
26-0.047843-0.40310.344031
27-0.000996-0.00840.496665
28-0.177223-1.49330.069894
29-0.230047-1.93840.028274
30-0.134141-1.13030.131078
310.0079480.0670.473396
32-0.028218-0.23780.406373
33-0.10296-0.86760.194281
34-0.031372-0.26430.396141
350.0172010.14490.442584
36-0.0434-0.36570.357839
370.0657860.55430.290551
380.0689250.58080.281616
39-0.035164-0.29630.383935
400.0625150.52680.300001
410.089660.75550.226227
42-0.051201-0.43140.333734
43-0.029751-0.25070.401389
44-0.005399-0.04550.48192
450.0474580.39990.345221
46-0.060214-0.50740.306733
47-0.037383-0.3150.376843
48-0.01292-0.10890.456807
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229164989wpu4ljrcazxgdpw/1ddo71229164828.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229164989wpu4ljrcazxgdpw/1ddo71229164828.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229164989wpu4ljrcazxgdpw/2m7lx1229164828.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229164989wpu4ljrcazxgdpw/2m7lx1229164828.ps (open in new window)


 
Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 2 ; par4 = 12 ;
 
Parameters (R input):
par1 = 48 ; 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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