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paper 3

*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: Sun, 20 Dec 2009 09:09:30 -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/20/t1261325448grzzzg5imlu9t9l.htm/, Retrieved Sun, 20 Dec 2009 17:10:50 +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/20/t1261325448grzzzg5imlu9t9l.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 «
31,48 29,90 33,84 39,12 33,70 25,09 51,44 45,59 52,52 48,56 41,75 49,59 32,75 33,38 35,65 37,03 35,68 20,97 58,55 54,96 65,54 51,57 51,15 46,64 35,70 33,25 35,19 41,67 34,87 21,21 56,13 49,23 59,72 48,10 47,47 50,50 40,06 34,15 36,86 46,36 36,58 23,87 57,28 56,39 57,66 62,30 48,93 51,17 39,64 33,21 38,13 43,29 30,60 21,96 48,03 46,15 50,74 48,11 38,39 44,11
 
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'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.5138933.56040.000424
20.5643433.90990.000145
30.306482.12340.019453
40.2143111.48480.072068
50.1206540.83590.203673
60.1249610.86580.195466
70.0325840.22570.411178
80.0186210.1290.448945
9-0.113165-0.7840.218438
10-0.170166-1.17890.122115
11-0.241681-1.67440.050276
12-0.373201-2.58560.006406
13-0.29095-2.01580.024721
14-0.229108-1.58730.059505
15-0.111511-0.77260.221781
16-0.062292-0.43160.333991
17-0.017102-0.11850.453089
18-0.024138-0.16720.433943
19-0.02342-0.16230.435893
20-0.001304-0.0090.496414
210.1209440.83790.203113
220.0271540.18810.425783
230.2536431.75730.042623
240.1707651.18310.121299
250.2680781.85730.034705
260.2001961.3870.085925
270.1521591.05420.148538
28-0.017335-0.12010.452453
290.0141350.09790.461198
30-0.091659-0.6350.264212
31-0.052134-0.36120.359769
32-0.099165-0.6870.247684
33-0.143847-0.99660.161977
34-0.155963-1.08050.14265
35-0.232137-1.60830.057165
36-0.237187-1.64330.05343


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5138933.56040.000424
20.4080052.82670.003418
3-0.122066-0.84570.200959
4-0.136816-0.94790.173967
50.0086510.05990.476227
60.1245560.8630.196228
7-0.070424-0.48790.313917
8-0.08943-0.61960.269228
9-0.156245-1.08250.142221
10-0.106941-0.74090.23118
11-0.047938-0.33210.37062
12-0.238549-1.65270.052458
130.040840.28290.389217
140.2179021.50970.068841
150.1481421.02640.154934
16-0.066658-0.46180.323149
17-0.06933-0.48030.316587
180.0384330.26630.395584
190.0035580.02460.490219
20-0.011187-0.07750.469271
210.1288740.89290.188192
22-0.193029-1.33730.093706
230.2071421.43510.078868
240.0329870.22850.410098
250.0060570.0420.483351
260.0315940.21890.413831
27-0.022169-0.15360.439289
28-0.232669-1.6120.056762
29-0.008095-0.05610.477755
300.0431950.29930.383015
31-0.098905-0.68520.248245
32-0.041554-0.28790.387334
330.018340.12710.44971
34-0.040338-0.27950.390542
35-0.009001-0.06240.475266
360.0096150.06660.473582
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/20/t1261325448grzzzg5imlu9t9l/144681261325368.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/20/t1261325448grzzzg5imlu9t9l/144681261325368.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/20/t1261325448grzzzg5imlu9t9l/2ma5i1261325368.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/20/t1261325448grzzzg5imlu9t9l/2ma5i1261325368.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 = 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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