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Deel 2: Step 2 - 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: Mon, 08 Dec 2008 13:22:18 -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/08/t1228767787d2gt6xenurhdwys.htm/, Retrieved Mon, 08 Dec 2008 20:23:10 +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/08/t1228767787d2gt6xenurhdwys.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)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
14291.1 14205.3 15859.4 15258.9 15498.6 15106.5 15023.6 12083 15761.3 16943 15070.3 13659.6 14768.9 14725.1 15998.1 15370.6 14956.9 15469.7 15101.8 11703.7 16283.6 16726.5 14968.9 14861 14583.3 15305.8 17903.9 16379.4 15420.3 17870.5 15912.8 13866.5 17823.2 17872 17420.4 16704.4 15991.2 16583.6 19123.5 17838.7 17209.4 18586.5 16258.1 15141.6 19202.1 17746.5 19090.1 18040.3 17515.5 17751.8 21072.4 17170 19439.5 19795.4 17574.9 16165.4 19464.6 19932.1 19961.2 17343.4 18924.2 18574.1 21350.6 18594.6 19823.1 20844.4 19640.2 17735.4 19813.6 22160 20664.3 17877.4
 
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
10.617015.23551e-06
20.4705483.99277.8e-05
30.5594794.74735e-06
40.5929545.03142e-06
50.5391194.57461e-05
60.6259785.31161e-06
70.4707693.99467.7e-05
80.4854894.11955e-05
90.4129023.50360.000397
100.2761222.3430.010949
110.3872673.28610.000786
120.6075425.15521e-06
130.3174922.6940.004389
140.2170111.84140.034841
150.2379112.01870.02362
160.2509242.12920.018331
170.2545582.160.017052
180.2956112.50830.007192
190.1644781.39560.083555
200.1645621.39640.083449
210.0919470.78020.218916
22-0.037981-0.32230.374088
230.0875440.74280.229998
240.1919181.62850.053896
25-0.021004-0.17820.429525
26-0.089801-0.7620.224279
27-0.093174-0.79060.215884
28-0.083488-0.70840.240487
29-0.070897-0.60160.274671
30-0.040694-0.34530.365437
31-0.12173-1.03290.152551
32-0.106148-0.90070.185378
33-0.205672-1.74520.04261
34-0.275584-2.33840.011073
35-0.166975-1.41680.080423
36-0.081789-0.6940.244958


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.617015.23551e-06
20.1450781.2310.111159
30.3657683.10360.001366
40.2368052.00940.024124
50.1295971.09970.137571
60.3332232.82750.003035
7-0.195712-1.66070.050565
80.1736121.47310.072535
9-0.308032-2.61370.005449
10-0.334456-2.83790.002947
110.1990391.68890.047783
120.3381242.86910.0027
13-0.212703-1.80480.03764
14-0.021401-0.18160.428206
15-0.200054-1.69750.046959
16-0.002523-0.02140.491488
170.0332620.28220.389284
18-0.030304-0.25710.398904
190.0786550.66740.253323
20-0.15476-1.31320.096646
21-0.015756-0.13370.44701
22-0.152515-1.29410.099878
230.040.33940.367645
24-0.084883-0.72030.236849
25-0.061767-0.52410.300906
260.0315260.26750.394922
27-0.044467-0.37730.353524
280.1234441.04750.149195
29-0.127488-1.08180.141481
300.0998940.84760.199728
310.0047410.04020.484012
320.0115950.09840.46095
33-0.075589-0.64140.261653
34-0.056846-0.48240.315509
35-0.121681-1.03250.152648
360.0606210.51440.304278
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228767787d2gt6xenurhdwys/1om2i1228767737.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228767787d2gt6xenurhdwys/1om2i1228767737.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228767787d2gt6xenurhdwys/20ujp1228767737.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228767787d2gt6xenurhdwys/20ujp1228767737.ps (open in new window)


 
Parameters (Session):
par1 = 12 ;
 
Parameters (R input):
par1 = 36 ; par2 = 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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