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W8

*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: Wed, 25 Nov 2009 11:26:56 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Nov/25/t1259173699hrryowsl8jr7vn5.htm/, Retrieved Wed, 25 Nov 2009 19:28:22 +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/2009/Nov/25/t1259173699hrryowsl8jr7vn5.htm/},
    year = {2009},
}
@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 = {2009},
    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:
W8
 
Dataseries X:
» Textbox « » Textfile « » CSV «
13132.1 17665.9 16913 17318.8 16224.2 15469.6 16557.5 19414.8 17335 16525.2 18160.4 15553.8 15262.2 18581 17564.1 18948.6 17187.8 17564.8 17668.4 20811.7 17257.8 18984.2 20532.6 17082.3 16894.9 20274.9 20078.6 19900.9 17012.2 19642.9 19024 21691 18835.9 19873.4 21468.2 19406.8 18385.3 20739.3 22268.3 21569 17514.8 21124.7 21251 21393 22145.2 20310.5 23466.9 21264.6 18388.1 22635.4 22014.3 18422.7 16120.2 16037.7 16410.7 17749.8 16349.8 15662.3 17782.3 16398.9
 
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'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.327468-2.51530.007318
2-0.249242-1.91450.030207
30.0876820.67350.251631
40.0790310.6070.273074
50.0125830.09670.461665
60.0083930.06450.474407
7-0.109457-0.84080.201941
80.1899151.45880.074967
9-0.00138-0.01060.495791
10-0.242202-1.86040.033908
11-0.175154-1.34540.091825
120.598784.59931.1e-05
13-0.194408-1.49330.070347
14-0.178789-1.37330.087428
15-0.017188-0.1320.447707
160.1588541.22020.113625
17-0.037938-0.29140.385881
18-0.03994-0.30680.380042
190.0038650.02970.488209
200.1146580.88070.191026
21-0.068105-0.52310.301425
22-0.097471-0.74870.228509
23-0.132272-1.0160.156888
240.3460032.65770.005054
25-0.011311-0.08690.465531
26-0.223471-1.71650.045658
27-0.020705-0.1590.437092
280.1740311.33680.093217
29-0.070771-0.54360.294382
30-0.026483-0.20340.419754
310.087770.67420.251416
32-0.032261-0.24780.402574
33-0.029191-0.22420.41168
34-0.004981-0.03830.484806
35-0.121643-0.93440.176964
360.1981471.5220.066676


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.327468-2.51530.007318
2-0.399296-3.0670.00163
3-0.209593-1.60990.056377
4-0.091359-0.70170.242798
50.0138130.10610.45793
60.0894460.6870.247372
7-0.044843-0.34440.365867
80.195551.5020.069209
90.1547171.18840.119717
10-0.116329-0.89350.187599
11-0.483647-3.7150.000227
120.2798952.14990.017836
130.0834180.64070.262085
140.0862920.66280.255013
15-0.100422-0.77140.221787
160.1412741.08510.141136
17-0.059584-0.45770.324433
18-0.073777-0.56670.286536
190.120540.92590.179139
20-0.002671-0.02050.49185
21-0.136424-1.04790.14948
220.003680.02830.488773
230.0400210.30740.379808
24-0.11617-0.89230.187924
250.1070080.82190.207209
260.0212210.1630.435537
270.0004080.00310.498754
28-0.077638-0.59640.276611
290.0794030.60990.272133
30-0.016552-0.12710.449632
310.0888020.68210.248921
32-0.083277-0.63970.262433
33-0.020051-0.1540.439061
34-0.004121-0.03170.487427
350.021090.1620.43593
36-0.055115-0.42330.336791
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/25/t1259173699hrryowsl8jr7vn5/1s7221259173614.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/25/t1259173699hrryowsl8jr7vn5/1s7221259173614.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/25/t1259173699hrryowsl8jr7vn5/29o1k1259173614.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/25/t1259173699hrryowsl8jr7vn5/29o1k1259173614.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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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Software written by Ed van Stee & Patrick Wessa


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