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*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: Thu, 17 Dec 2009 02:33:58 -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/17/t1261042518alvrhzndlbk2oyn.htm/, Retrieved Thu, 17 Dec 2009 10:35:20 +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/17/t1261042518alvrhzndlbk2oyn.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 «
43.9 51 51.9 54.3 50.3 57.2 48.8 41.1 58 63 53.8 54.7 55.5 56.1 69.6 69.4 57.2 68 53.3 47.9 60.8 61.7 57.8 51.4 50.5 48.1 58.7 54 56.1 60.4 51.2 50.7 56.4 53.3 52.6 47.7 49.5 48.5 55.3 49.8 57.4 64.6 53 41.5 55.9 58.4 53.5 50.6 58.5 49.1 61.1 52.3 58.4 65.5 61.7 45.1 52.1 59.3 57.9 45 64.9 63.8 69.4 71.1 62.9 73.5 62.7 51.9 73.3 66.7 62.5 70.3
 
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
10.3362792.85340.002822
20.1403951.19130.118725
30.312262.64960.00495
40.1788991.5180.066696
50.1473251.25010.107657
60.2447112.07640.020712
70.0948740.8050.211725
80.1278321.08470.140838
90.0127050.10780.457224
10-0.119315-1.01240.157363
11-0.013849-0.11750.453389
120.2412562.04710.022148
13-0.034934-0.29640.383879
14-0.190145-1.61340.055513
15-0.079995-0.67880.249728
16-0.034972-0.29670.383758
17-0.070609-0.59910.275481
180.020920.17750.429803
19-0.050336-0.42710.335285
20-0.044937-0.38130.352051
21-0.056887-0.48270.315385
22-0.194677-1.65190.051456
23-0.04881-0.41420.339992
240.1334221.13210.130669
25-0.073982-0.62780.266073
26-0.172894-1.46710.073358
27-0.06562-0.55680.289695
28-0.120637-1.02360.154717
29-0.143976-1.22170.112908
30-0.018543-0.15730.437706
31-0.015243-0.12930.448725
32-0.046742-0.39660.34641
33-0.031128-0.26410.396218
34-0.153001-1.29830.099171
35-0.082069-0.69640.244218
360.1107430.93970.17526


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3362792.85340.002822
20.0307940.26130.397305
30.289082.45290.008297
4-0.010346-0.08780.465143
50.0893140.75790.225505
60.119081.01040.157836
7-0.067815-0.57540.283399
80.0887620.75320.226903
9-0.188177-1.59670.057352
10-0.125797-1.06740.144674
11-0.015015-0.12740.449487
120.3123182.65010.004943
13-0.166502-1.41280.081009
14-0.187382-1.590.05811
15-0.075824-0.64340.261008
160.1083450.91930.180495
170.0509470.43230.333406
180.022890.19420.423274
19-0.080739-0.68510.247742
20-0.038594-0.32750.372126
210.0569940.48360.315066
22-0.099445-0.84380.200782
230.0642610.54530.293626
24-0.021779-0.18480.426952
25-0.031547-0.26770.394853
26-0.081864-0.69460.244758
270.0293750.24930.401936
28-0.121101-1.02760.153794
29-0.083995-0.71270.23916
300.068430.58060.281647
310.0929190.78840.216512
320.0116480.09880.460773
33-0.012692-0.10770.457269
34-0.069144-0.58670.279619
35-0.052218-0.44310.329515
360.0933890.79240.215355
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/17/t1261042518alvrhzndlbk2oyn/1qpdq1261042434.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/17/t1261042518alvrhzndlbk2oyn/1qpdq1261042434.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/17/t1261042518alvrhzndlbk2oyn/250001261042434.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/17/t1261042518alvrhzndlbk2oyn/250001261042434.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; 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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