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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: Mon, 27 Dec 2010 22:09:23 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/27/t129348764822q6qx9x0kdcglg.htm/, Retrieved Mon, 27 Dec 2010 23:07:31 +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/2010/Dec/27/t129348764822q6qx9x0kdcglg.htm/},
    year = {2010},
}
@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 = {2010},
    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 «
110.43 114.77 132.21 122.86 118.5 130.3 113.25 104.54 132.78 122.99 133.14 125.83 122.99 125.7 148.47 120.75 136.7 139.17 123.47 112.76 137.99 139.75 140.22 121.6 132.33 130.34 149.05 130.47 139.29 146.55 137.79 122.95 139.51 155.77 143.95 125.07 142.35 144.34 145.87 156.01 146.74 156.45 152.29 122.56 154.59 149.68 118.75 109.22 104.19 107.33 114.07 107.92 103.53 117.3 112.09 95.08 123.28 121.98 121.74 119.93 115.11
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.412667-2.8590.003135
20.054790.37960.352959
30.3900692.70250.004744
4-0.319095-2.21080.015926
50.186671.29330.101051
60.1254040.86880.194633
7-0.374305-2.59330.006283
80.2505851.73610.044481
9-0.112806-0.78150.219161
10-0.188776-1.30790.098572
110.151551.050.149496
12-0.175906-1.21870.114455
13-0.112436-0.7790.219908
140.0858510.59480.277387
15-0.052637-0.36470.358475
16-0.065293-0.45240.326522
170.0949220.65760.256955
18-0.111989-0.77590.220813
190.0397120.27510.392199
200.0830120.57510.283946
21-0.072844-0.50470.308046
22-0.087066-0.60320.274604
230.2837441.96580.027558
24-0.289461-2.00540.025286
250.1370110.94920.173626
260.0725660.50280.308718
27-0.19606-1.35830.090352
280.1941881.34540.092413
29-0.036787-0.25490.399957
30-0.073176-0.5070.307246
310.1538371.06580.14592
32-0.126413-0.87580.192746
330.0291930.20230.420287
340.0891480.61760.269868
35-0.111122-0.76990.222572
360.0046570.03230.487197


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.412667-2.8590.003135
2-0.13921-0.96450.169821
30.4404713.05170.001851
40.0280790.19450.423288
50.0204140.14140.444061
60.0807360.55940.28926
7-0.278553-1.92990.029772
8-0.133364-0.9240.18006
9-0.085275-0.59080.278711
10-0.053882-0.37330.355283
11-0.063285-0.43850.331512
12-0.027132-0.1880.425845
13-0.123348-0.85460.198515
14-0.150026-1.03940.151911
150.1320020.91450.182504
160.0395470.2740.392635
170.0215060.1490.44109
18-0.100403-0.69560.245012
19-0.078694-0.54520.294067
20-0.045817-0.31740.376148
210.0061320.04250.483146
22-0.215181-1.49080.071276
230.1846181.27910.10351
24-0.105373-0.730.234454
25-0.047285-0.32760.372319
26-0.066311-0.45940.324003
270.0118530.08210.467446
280.0461970.32010.375155
29-0.008863-0.06140.475646
300.1252710.86790.194883
31-0.114538-0.79350.215683
32-0.083703-0.57990.282342
33-0.035539-0.24620.403281
34-0.029495-0.20440.419472
350.0261310.1810.428548
36-0.096333-0.66740.253852
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/27/t129348764822q6qx9x0kdcglg/1zxtz1293487760.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/27/t129348764822q6qx9x0kdcglg/1zxtz1293487760.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/27/t129348764822q6qx9x0kdcglg/29ot21293487760.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/27/t129348764822q6qx9x0kdcglg/29ot21293487760.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/27/t129348764822q6qx9x0kdcglg/32gan1293487760.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/27/t129348764822q6qx9x0kdcglg/32gan1293487760.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; 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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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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