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W9.2

*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, 04 Dec 2009 07:24:14 -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/Dec/04/t1259936712e63mdjvk7spiund.htm/, Retrieved Fri, 04 Dec 2009 15:25:14 +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/Dec/04/t1259936712e63mdjvk7spiund.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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
474605 470390 461251 454724 455626 516847 525192 522975 518585 509239 512238 519164 517009 509933 509127 500875 506971 569323 579714 577992 565644 547344 554788 562325 560854 555332 543599 536662 542722 593530 610763 612613 611324 594167 595454 590865 589379 584428 573100 567456 569028 620735 628884 628232 612117 595404 597141 593408 590072 579799 574205 572775 572942 619567 625809 619916 587625 565724 557274 560576 548854 531673 525919 511038 498662 555362 564591 541667 527070 509846 514258 516922 507561 492622 490243 469357 477580 528379 533590 517945 506174 501866 516441 528222 532638
 
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
10.054440.46190.322759
20.1368761.16140.124651
30.1495131.26870.104325
40.031690.26890.394387
50.0455930.38690.349997
60.0919810.78050.218832
70.0151920.12890.448893
80.2035581.72720.044205
90.027380.23230.408472
10-0.079682-0.67610.250565
110.1901931.61380.055469
12-0.180006-1.52740.065521
13-0.013888-0.11780.45326
140.1946591.65170.051471
150.0214930.18240.4279
160.0059170.05020.480047
17-0.074964-0.63610.263368
180.0163190.13850.445127
190.0044580.03780.484967


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.054440.46190.322759
20.1343111.13970.129102
30.1386551.17650.12163
40.002490.02110.491603
50.006810.05780.477038
60.0681260.57810.28251
7-0.000643-0.00550.49783
80.1839711.5610.061449
9-0.007425-0.0630.474971
10-0.140554-1.19260.118463
110.155121.31620.096134
12-0.199256-1.69070.047605
13-0.015101-0.12810.4492
140.2135061.81170.037104
150.033330.28280.389066
16-0.071837-0.60960.272036
17-0.165311-1.40270.0825
180.0997520.84640.20006
19-0.024497-0.20790.41796
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259936712e63mdjvk7spiund/1aq5n1259936652.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259936712e63mdjvk7spiund/1aq5n1259936652.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/04/t1259936712e63mdjvk7spiund/21eii1259936652.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259936712e63mdjvk7spiund/21eii1259936652.ps (open in new window)


 
Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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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This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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