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ACF Inflatie after

R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Sun, 06 Jan 2008 06:58:27 -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/Jan/06/t1199627875z2ieipws93tm87m.htm/, Retrieved Sun, 06 Jan 2008 14:57:58 +0100
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1.1 1.3 1.2 1.6 1.7 1.5 0.9 1.5 1.4 1.6 1.7 1.4 1.8 1.7 1.4 1.2 1 1.7 2.4 2 2.1 2 1.8 2.7 2.3 1.9 2 2.3 2.8 2.4 2.3 2.7 2.7 2.9 3 2.2 2.3 2.8 2.8 2.8 2.2 2.6 2.8 2.5 2.4 2.3 1.9 1.7 2 2.1 1.7 1.8 1.8 1.8 1.3 1.3 1.3 1.2 1.4 2.2
 
Text written by user:
 
Output produced by software:


Summary of compuational 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
017.68110
1-0.123134-0.94580.825949
2-0.30719-2.35960.989188
3-0.004733-0.03640.51444
4-0.076632-0.58860.720818
50.2486141.90960.030523
60.020180.1550.438674
7-0.226721-1.74150.956594
80.0373540.28690.387589
9-0.08879-0.6820.751049
100.2896152.22460.014974
110.2783892.13830.01832
12-0.505015-3.87910.999867
13-0.114594-0.88020.808842
140.2174181.670.050106
150.0190150.14610.442187
160.0996690.76560.223491
17-0.269233-2.0680.978484
18-0.054741-0.42050.662168
190.1134480.87140.193531
200.0453970.34870.364279
210.0918330.70540.241673
22-0.076947-0.5910.721624
23-0.185665-1.42610.920448
240.0712360.54720.293161
250.1055880.8110.210302
26-0.084895-0.65210.741561
27-0.044975-0.34550.634512
28-0.061135-0.46960.679809
290.046970.36080.359774
300.073130.56170.288216
31-0.005693-0.04370.517367
320.0115270.08850.464872
33-0.040682-0.31250.622114
34-0.008186-0.06290.524962
350.0101430.07790.46908
360.0267080.20510.419082
37-0.104709-0.80430.787769
380.0282670.21710.41443
390.0012680.00970.496132
40-0.016046-0.12330.548836
410.1441321.10710.136372
420.0261580.20090.420725
43-0.075704-0.58150.718437
44-0.00039-0.0030.50119
45-0.041239-0.31680.62373
46-0.002972-0.02280.509069
47-0.022458-0.17250.568185


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.123134-0.94580.825949
1-0.327315-2.51420.99266
2-0.108314-0.8320.795611
3-0.226575-1.74040.956495
40.1873771.43930.077679
50.0011650.00890.496445
6-0.09281-0.71290.760638
7-0.004588-0.03520.513995
8-0.172178-1.32250.904452
90.2686612.06360.021731
100.3249482.4960.007688
11-0.257475-1.97770.97368
12-0.1157-0.88870.811115
130.0664070.51010.305948
14-0.067104-0.51540.695914
15-0.013836-0.10630.542138
16-0.149127-1.14550.87168
170.0014220.01090.495661
18-0.148495-1.14060.870679
190.0328440.25230.400851
20-0.122454-0.94060.824623
210.114710.88110.190919
220.1598021.22750.112263
23-0.198503-1.52470.933665
24-0.066457-0.51050.694186
25-0.090841-0.69780.755967
260.039120.30050.38243
270.0135960.10440.458591
28-0.10528-0.80870.789024
29-0.076324-0.58630.72003
300.0036670.02820.488813
310.0611080.46940.320264
32-0.019618-0.15070.559633
330.0565860.43460.332703
340.0302930.23270.408406
35-0.06815-0.52350.698697
36-0.142294-1.0930.860578
37-0.027271-0.20950.582601
38-0.049444-0.37980.647265
390.0138880.10670.457704
400.0812370.6240.267519
410.0475670.36540.358071
42-0.072474-0.55670.710075
430.0617960.47470.31839
44-0.017391-0.13360.552905
45-0.06144-0.47190.680641
46-0.09737-0.74790.771258
470.0719740.55280.291231
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/06/t1199627875z2ieipws93tm87m/1t5bv1199627905.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/06/t1199627875z2ieipws93tm87m/1t5bv1199627905.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/06/t1199627875z2ieipws93tm87m/2k0mk1199627905.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/06/t1199627875z2ieipws93tm87m/2k0mk1199627905.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
 





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