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paper autocorrelation d=1 en D=1

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Sun, 14 Dec 2008 04:16:34 -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/14/t1229253507midh37ondq9ijz9.htm/, Retrieved Sun, 14 Dec 2008 12:18:29 +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/14/t1229253507midh37ondq9ijz9.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 «
6340.5 7901.5 8191.1 7181.7 7594.4 7384.7 7876.7 8463.4 8317.2 7778.7 8532.8 7272.2 6680.1 8427.6 8752.8 7952.7 8694.3 7787 8474.2 9154.7 8557.2 7951.1 9156.7 7865.7 7337.4 9131.7 8814.6 8598.8 8439.6 7451.8 8016.2 9544.1 8270.7 8102.2 9369 7657.7 7816.6 9391.3 9445.4 9533.1 10068.7 8955.5 10423.9 11617.2 9391.1 10872 10230.4 9221 9428.6 10934.5 10986 11724.6 11180.9 11163.2 11240.9 12107.1 10762.3 11340.4 11266.8 9542.7 9227.7 10571.9 10774.4 10392.8 9920.2 9884.9 10174.5 11395.4 10760.2 10570.1 10536 9902.6 8889 10837.3 11624.1 10509 10984.9 10649.1 10855.7 11677.4 10760.2 10046.2 10772.8 9987.7 8638.7 11063.7 11855.7 10684.5 11337.4 10478 11123.9 12909.3 11339.9 10462.2 12733.5 10519.2 10414.9 12476.8 12384.6 12266.7 12919.9 11497.3 12142 13919.4 12656.8 12034.1 13199.7 10881.3 11301.2 13643.9 12517 13981.1 14275.7 13435 13565.7 16216.3 12970 14079.9 14235 12213.4 12581
 
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
1-0.593563-6.16850
20.1683271.74930.04154
30.1238021.28660.100494
4-0.108332-1.12580.131369
5-0.075855-0.78830.216122
60.2691712.79730.003051
7-0.335192-3.48340.000358
80.1090931.13370.129709
90.2016962.09610.019205
10-0.276121-2.86950.002473
110.1427551.48360.070419
12-0.026105-0.27130.393342
13-0.14418-1.49840.068478
140.0427530.44430.328856
150.0899370.93470.176025
16-0.203999-2.120.018147
170.1123811.16790.122709
180.1466971.52450.065151
19-0.260818-2.71050.003908
200.192592.00150.023926
21-0.011155-0.11590.453964
22-0.218468-2.27040.012584
230.2505392.60370.00526
24-0.138893-1.44340.075898
25-0.099269-1.03160.152274
260.2583582.68490.004199
27-0.120758-1.2550.106103
28-0.086728-0.90130.184716
290.2419712.51460.006695
30-0.23476-2.43970.008164
310.0651820.67740.249802
320.0446140.46360.321918
33-0.069362-0.72080.236284
34-0.018181-0.18890.425244
350.1869871.94320.027296
36-0.209619-2.17840.015774
370.1116881.16070.124163
380.0904410.93990.174685
39-0.19783-2.05590.021102
400.0683730.71060.239445
410.0930140.96660.167944
42-0.216174-2.24650.013352
430.2026952.10650.01874
44-0.021108-0.21940.413391
45-0.140641-1.46160.073379
460.1542691.60320.055904
47-0.002871-0.02980.488128
48-0.198751-2.06550.020636
490.2495822.59370.005405
50-0.228797-2.37770.009589
510.0908390.9440.173631
520.0628850.65350.257404
53-0.053296-0.55390.290406
54-0.020217-0.21010.416992
550.104261.08350.140498
56-0.080676-0.83840.201826
570.0045810.04760.481058
580.0409670.42570.335572
59-0.072825-0.75680.225403
600.0769440.79960.212843


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.593563-6.16850
2-0.284074-2.95220.001936
30.1402071.45710.073999
40.1612911.67620.048297
5-0.150623-1.56530.060216
60.136631.41990.079259
7-0.094891-0.98610.163136
8-0.229427-2.38430.009429
90.1927462.00310.023837
100.1109191.15270.125788
11-0.026738-0.27790.390822
12-0.190899-1.98390.024903
13-0.210145-2.18390.015567
14-0.248267-2.58010.00561
15-0.036194-0.37610.353776
160.1230051.27830.101941
17-0.037353-0.38820.34932
180.1974852.05230.021278
19-0.016195-0.16830.433331
20-0.175076-1.81940.035807
21-0.024359-0.25310.400317
22-0.148-1.53810.06348
230.0514250.53440.297072
24-0.076763-0.79770.213386
25-0.155175-1.61260.054872
260.0133170.13840.445094
270.0325570.33830.367882
280.0189630.19710.422073
290.0282760.29380.384719
300.0017990.01870.49256
31-0.013486-0.14010.444403
32-0.208783-2.16970.016109
33-0.003535-0.03670.48538
340.0079410.08250.467189
350.1011251.05090.14782
36-0.067798-0.70460.241295
37-0.144583-1.50250.067937
380.1015611.05550.146786
39-0.026178-0.2720.393052
40-0.045768-0.47560.317646
410.0321090.33370.369631
42-0.070755-0.73530.231873
430.0494170.51360.304307
44-0.137419-1.42810.078074
45-0.018545-0.19270.423766
46-0.052161-0.54210.294444
47-0.000562-0.00580.497677
48-0.024555-0.25520.399532
49-0.015535-0.16140.436023
50-0.057006-0.59240.277402
510.0080050.08320.466928
52-0.03216-0.33420.36943
53-0.009981-0.10370.458791
540.0481860.50080.308778
55-0.008154-0.08470.466314
56-0.082212-0.85440.197396
570.0357750.37180.355389
58-0.03338-0.34690.364673
59-0.025726-0.26740.394853
600.1042731.08360.14047
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/14/t1229253507midh37ondq9ijz9/1ok5k1229253392.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/14/t1229253507midh37ondq9ijz9/1ok5k1229253392.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/14/t1229253507midh37ondq9ijz9/2eynw1229253392.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/14/t1229253507midh37ondq9ijz9/2eynw1229253392.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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