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Paper Y3 d=1 D=0

*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, 14 Dec 2009 03:16:18 -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/14/t12607863145ba2le4a8co8x7k.htm/, Retrieved Mon, 14 Dec 2009 11:25:17 +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/14/t12607863145ba2le4a8co8x7k.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 «
98.2 96.92 99.06 99.65 99.82 99.99 100.33 99.31 101.1 101.1 100.93 100.85 100.93 99.6 101.88 101.81 102.38 102.74 102.82 101.72 103.47 102.98 102.68 102.9 103.03 101.29 103.69 103.68 104.2 104.08 104.16 103.05 104.66 104.46 104.95 105.85 106.23 104.86 107.44 108.23 108.45 109.39 110.15 109.13 110.28 110.17 109.99 109.26 109.11 107.06 109.53 108.92 109.24 109.12 109 107.23 109.49 109.04 109.02 109.23
 
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
1-0.4646-3.56870.00036
20.0829030.63680.263363
30.0217960.16740.433807
40.0675890.51920.302794
5-0.443152-3.40396e-04
60.7428975.70630
7-0.443367-3.40560.000597
80.0476050.36570.357963
9-0.00783-0.06010.476122
100.0033070.02540.48991
11-0.349352-2.68340.004721
120.6610415.07752e-06
13-0.41685-3.20190.0011
140.0363090.27890.390651
150.0243650.18720.426092
16-0.015664-0.12030.452321
17-0.347246-2.66720.004928
180.5826444.47541.8e-05
19-0.352368-2.70660.004438
200.0220520.16940.433037
210.0018110.01390.494475
220.0496120.38110.352259
23-0.304188-2.33650.01144
240.5395374.14435.5e-05
25-0.27112-2.08250.02082
260.0574750.44150.330242
27-0.011754-0.09030.464183
280.0204110.15680.437978
29-0.255292-1.96090.027306
300.4236833.25440.000942
31-0.245612-1.88660.03207
320.0347280.26680.395295
330.0261490.20090.420753
340.0121490.09330.462985
35-0.198625-1.52570.066218
360.3734512.86850.002856


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.4646-3.56870.00036
2-0.169548-1.30230.098934
3-0.015663-0.12030.452324
40.1142280.87740.191915
5-0.470711-3.61560.000311
60.561384.3123.1e-05
7-0.05212-0.40030.345175
8-0.146071-1.1220.133205
9-0.132763-1.01980.156
10-0.222023-1.70540.046691
11-0.010307-0.07920.468582
120.2157021.65680.05143
13-0.021216-0.1630.435551
14-0.134812-1.03550.152329
15-0.074546-0.57260.284545
16-0.052006-0.39950.345495
17-0.185586-1.42550.07964
18-0.075974-0.58360.280867
190.0226690.17410.431183
20-0.033768-0.25940.398124
21-0.144985-1.11370.134972
220.0505620.38840.349569
23-0.035085-0.26950.394246
240.0015450.01190.495284
250.0978720.75180.22759
260.0509330.39120.348521
27-0.058223-0.44720.328177
28-0.148966-1.14420.128575
290.0159280.12230.451521
30-0.152452-1.1710.123152
31-0.080454-0.6180.269483
320.0156120.11990.452477
330.086830.6670.253702
340.0119240.09160.463667
350.0423560.32530.373035
360.0113120.08690.465527
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607863145ba2le4a8co8x7k/1geoe1260785776.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607863145ba2le4a8co8x7k/1geoe1260785776.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/14/t12607863145ba2le4a8co8x7k/24bqk1260785776.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607863145ba2le4a8co8x7k/24bqk1260785776.ps (open in new window)


 
Parameters (Session):
par1 = 0 ; par2 = 36 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; 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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