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(Partial) Autocorrelation Function Hoeveelheid Invoer d=0 en 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: Fri, 28 Nov 2008 03:23:41 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Nov/28/t1227867860y9wtjyvone5vamj.htm/, Retrieved Fri, 28 Nov 2008 10:24:24 +0000
 
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/2008/Nov/28/t1227867860y9wtjyvone5vamj.htm/},
    year = {2008},
}
@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 = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
d=0 D=0
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
101 88 108 116 104 110 105 107 124 109 102 125 102 101 116 114 115 119 108 110 120 113 111 121 99 104 117 108 122 122 111 111 131 108 118 119 104 105 118 124 123 114 119 116 129 112 123 124 117 110 118 135 127 117 137 130 132 142 122 126
 
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
10.3464342.68350.004701
20.2130021.64990.052094
30.4469993.46240.000497
40.1884091.45940.074834
50.2088011.61740.055523
60.3453832.67530.004804
70.0623840.48320.315348
80.1108970.8590.196878
90.2207241.70970.046242
100.0172560.13370.447057
110.1527121.18290.120756
120.4215463.26530.000905
130.0860960.66690.253696
140.0211450.16380.435223
150.1194990.92560.179173
16-0.047195-0.36560.357987
170.0564250.43710.331815
180.117310.90870.183577
19-0.034774-0.26940.394288
20-0.039916-0.30920.379125
210.0048110.03730.485199
22-0.06824-0.52860.299521
230.0959520.74320.230119
240.1536081.18980.119397
250.0295080.22860.409992
26-0.045521-0.35260.362809
27-0.056023-0.4340.33294
28-0.092733-0.71830.237677
29-0.048147-0.37290.355252
30-0.09269-0.7180.23778
31-0.07972-0.61750.269618
32-0.129506-1.00320.159908
33-0.115376-0.89370.187527
34-0.114597-0.88770.189132
35-0.039647-0.30710.379915
360.0413630.32040.374892


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3464342.68350.004701
20.1056670.81850.208157
30.3957883.06580.001626
4-0.088427-0.68490.248007
50.1390531.07710.142874
60.1190350.9220.1801
7-0.151511-1.17360.122597
80.0315610.24450.403851
90.0210350.16290.435559
10-0.051663-0.40020.345223
110.1281920.9930.162357
120.3512282.72060.004257
13-0.115635-0.89570.186996
14-0.164137-1.27140.104246
15-0.174242-1.34970.091096
16-0.088298-0.6840.248318
170.043080.33370.369886
180.031490.24390.404062
190.1474341.1420.128992
20-0.08559-0.6630.254941
21-0.044597-0.34550.365482
22-0.031801-0.24630.403135
230.1163990.90160.185431
24-0.02312-0.17910.429235
250.082120.63610.263564
26-0.109948-0.85170.198897
27-0.108313-0.8390.202402
28-0.064531-0.49990.309503
29-0.066923-0.51840.303049
30-0.087023-0.67410.251425
310.0841580.65190.258482
320.0341160.26430.396242
330.1012970.78460.217875
34-0.080902-0.62670.266628
35-0.055595-0.43060.334138
360.0138980.10770.457315
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/28/t1227867860y9wtjyvone5vamj/1yi211227867819.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/28/t1227867860y9wtjyvone5vamj/1yi211227867819.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/28/t1227867860y9wtjyvone5vamj/2ndv51227867819.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/28/t1227867860y9wtjyvone5vamj/2ndv51227867819.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
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 (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='lags',ylab='ACF')
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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