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auto corr inv

*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: Fri, 19 Dec 2008 04:21:38 -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/19/t12296857478e3437et9ul65um.htm/, Retrieved Fri, 19 Dec 2008 12:22:27 +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/19/t12296857478e3437et9ul65um.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 «
93.0 99.2 112.2 112.1 103.3 108.2 90.4 72.8 111.0 117.9 111.3 110.5 94.8 100.4 132.1 114.6 101.9 130.2 84.0 86.4 122.3 120.9 110.2 112.6 102.0 105.0 130.5 115.5 103.7 130.9 89.1 93.8 123.8 111.9 118.3 116.9 103.6 116.6 141.3 107.0 125.2 136.4 91.6 95.3 132.3 130.6 131.9 118.6 114.3 111.3 126.5 112.1 119.3 142.4 101.1 97.4 129.1 136.9 129.8 123.9
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.104716-0.72550.235837
2-0.030556-0.21170.416619
30.2410631.67010.050701
4-0.184291-1.27680.103906
5-0.117874-0.81670.209081
60.1512261.04770.150007
7-0.063778-0.44190.330284
80.0683290.47340.319038
9-0.097083-0.67260.25221
10-0.079416-0.55020.292363
110.0369230.25580.399596
12-0.312466-2.16480.017702
13-0.087022-0.60290.274705
14-0.011363-0.07870.468788
15-0.095535-0.66190.255604
16-0.100469-0.69610.244872
170.2089281.44750.077129
18-0.12167-0.8430.201717
19-0.120693-0.83620.203598
200.0691110.47880.317121
210.1247280.86410.195905
22-0.156827-1.08650.141336
230.2068471.43310.079159
240.0602610.41750.339087
25-0.039575-0.27420.392561
260.1269380.87950.191769
270.0369550.2560.399511
280.0702280.48660.314394
290.0472850.32760.372319
30-0.060766-0.4210.337817
310.1076660.74590.229673
320.011830.0820.467509
33-0.164529-1.13990.129995
340.1298260.89950.186449
35-0.118329-0.81980.208189
36-0.105356-0.72990.23449
370.0598030.41430.340241
38-0.052153-0.36130.359722
39-0.03612-0.25020.401733
400.0856750.59360.277793
41-0.067095-0.46490.32207
42-0.026194-0.18150.428378
430.0294680.20420.419544
44-0.03447-0.23880.406132
450.0122660.0850.466314
460.0042970.02980.488188
47-0.001306-0.00910.496408
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.104716-0.72550.235837
2-0.041982-0.29090.386206
30.2363361.63740.054045
4-0.146036-1.01180.158361
5-0.146703-1.01640.157271
60.0792220.54890.292821
70.0333130.23080.409226
80.104890.72670.235469
9-0.202581-1.40350.083449
10-0.088683-0.61440.270922
110.0315340.21850.413992
12-0.272662-1.88910.032467
13-0.156386-1.08350.142005
14-0.155324-1.07610.143628
150.0444630.30810.379688
16-0.189867-1.31540.097306
170.1050510.72780.235131
18-0.106068-0.73490.232999
19-0.163696-1.13410.131188
20-0.042865-0.2970.383882
210.1478831.02460.155353
22-0.150536-1.04290.151099
230.0295570.20480.419307
24-0.094977-0.6580.256835
25-0.013382-0.09270.463258
260.0240850.16690.434088
27-0.013671-0.09470.462468
280.0217140.15040.440523
290.0282090.19540.422937
30-0.044033-0.30510.380817
310.0265670.18410.427369
32-0.016458-0.1140.454847
33-0.007931-0.0550.478203
34-0.076826-0.53230.298498
35-0.012506-0.08660.465658
36-0.011502-0.07970.468407
370.0022950.01590.493691
38-0.079558-0.55120.292028
390.1320160.91460.182477
400.0880030.60970.272468
410.043550.30170.382083
42-0.072679-0.50350.308445
430.1136670.78750.217428
44-0.002252-0.01560.493807
450.0251920.17450.43109
46-0.054279-0.37610.354267
470.0085170.0590.476595
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/19/t12296857478e3437et9ul65um/16onc1229685688.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/19/t12296857478e3437et9ul65um/16onc1229685688.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/19/t12296857478e3437et9ul65um/2i1331229685688.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/19/t12296857478e3437et9ul65um/2i1331229685688.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; par3 = 0 ; 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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