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WS8 link 2 ACF

*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: Sat, 28 Nov 2009 08:16:29 -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/28/t12594214826yi8cputm52adtu.htm/, Retrieved Sat, 28 Nov 2009 16:18:05 +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/28/t12594214826yi8cputm52adtu.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:
WS8 link 2 ACF
 
Dataseries X:
» Textbox « » Textfile « » CSV «
4.2 4 4.9 4.6 4.3 4.3 4.6 5.1 4.8 4.5 4.9 5.1 5.1 5.2 4.5 4.6 4.9 4.6 4.4 3.7 4 4.2 3.9 3.6 3.6 3.2 3.2 3.5 3.6 3.7 3.8 3.8 3.8 3.3 3.3 3.4 3.1 3.5 4.2 4.9 5.1 5.5 5.6 6.4 6.2 7.2 7.8 7.9 7.4 7.5 6.7 5.1 4.6 4.3 3.9 2.6 2.6 1.6 0.9 0.3
 
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
10.8560255.93070
20.6945594.8128e-06
30.5396573.73890.000246
40.4035252.79570.003713
50.2292891.58860.059363
60.0893340.61890.269446
7-0.046532-0.32240.374282
8-0.172509-1.19520.118945
9-0.297879-2.06380.022234
10-0.368595-2.55370.006945
11-0.389439-2.69810.004798
12-0.403481-2.79540.003716
13-0.376448-2.60810.00605
14-0.327035-2.26580.014007
15-0.28582-1.98020.026713
16-0.2739-1.89760.031884
17-0.243306-1.68570.049175
18-0.224608-1.55610.063123
19-0.202011-1.39960.084036
20-0.188798-1.3080.098546
21-0.15255-1.05690.147925
22-0.110671-0.76670.223493
23-0.085904-0.59520.277266
24-0.071327-0.49420.31172
25-0.035823-0.24820.402523
26-0.014823-0.10270.459314
270.0026830.01860.492624
280.0406060.28130.389835
290.0875280.60640.27355
300.1194940.82790.205917
310.1393190.96520.169634
320.1559081.08020.142734
330.166541.15380.127143
340.1568851.08690.141248
350.1250660.86650.195268
360.1036430.71810.238101


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8560255.93070
2-0.143026-0.99090.163349
3-0.066881-0.46340.322599
4-0.031486-0.21810.414123
5-0.251335-1.74130.044019
60.0171830.1190.452866
7-0.133544-0.92520.17974
8-0.119466-0.82770.205973
9-0.1175-0.81410.209815
100.0119810.0830.467095
110.0579710.40160.344868
12-0.105161-0.72860.234901
130.1019350.70620.24173
14-0.032143-0.22270.412361
15-0.104784-0.7260.235694
16-0.123307-0.85430.198593
17-0.042913-0.29730.383756
18-0.12937-0.89630.187283
19-0.044465-0.30810.379684
20-0.047885-0.33180.370758
21-0.000189-0.00130.499481
220.0381730.26450.396275
23-0.071072-0.49240.312341
24-0.043877-0.3040.381226
250.0024550.0170.493249
26-0.107472-0.74460.230075
27-0.039578-0.27420.392552
280.0118770.08230.467381
29-6e-05-4e-040.499835
30-0.020663-0.14320.443384
310.0022180.01540.493901
32-0.015011-0.1040.458803
33-0.016734-0.11590.454092
34-0.04907-0.340.367682
35-0.111064-0.76950.222692
36-0.034975-0.24230.404785
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/28/t12594214826yi8cputm52adtu/1h7of1259421387.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/28/t12594214826yi8cputm52adtu/1h7of1259421387.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/28/t12594214826yi8cputm52adtu/2kotb1259421387.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/28/t12594214826yi8cputm52adtu/2kotb1259421387.ps (open in new window)


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