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datareeks-personenwagen-seda hovhannesian

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Thu, 14 May 2009 18:44:14 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/May/15/t1242348688ln6idn3uoquw3c0.htm/, Retrieved Fri, 15 May 2009 02:51:30 +0200
 
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/May/15/t1242348688ln6idn3uoquw3c0.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 «
5,44 5,44 5,44 5,44 5,44 5,49 5,49 5,49 5,49 5,49 5,49 5,60 5,60 5,60 5,60 5,60 5,60 5,60 5,67 5,67 5,67 5,67 5,67 5,67 5,67 5,67 5,67 5,82 5,82 5,95 5,95 5,95 5,95 5,95 5,95 6,02 6,02 6,05 6,05 6,05 6,12 6,12 6,12 6,12 6,12 6,12 6,12 6,12 6,17 6,17 6,17 6,17 6,17 6,28 6,27 6,28 6,28 6,27 6,27 6,28 6,59 6,59 6,59 6,59 6,59 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,63 6,79 6,79 6,79 6,81 6,80 6,80 6,85 6,85 6,85 6,85 6,85 6,85 6,86 6,86 6,88 6,88 6,88 6,91 6,91 6,91 6,91 6,99 6,99 6,99 7,02 7,02 7,05 7,05 7,05 7,05 7,10 7,10 7,10 7,10 7,12 7,13 7,18
 
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
10.97473110.63310
20.95061310.370
30.92604110.10190
40.9017759.83720
50.8774419.57180
60.853579.31130
70.8289729.0430
80.8042978.77380
90.779078.49860
100.7533728.21830
110.727467.93570
120.704517.68530
130.6808667.42740
140.6571427.16860
150.6332966.90840
160.6091986.64560
170.5864516.39740
180.5632146.14390
190.5410415.90210
200.5185745.6570
210.496135.41210
220.4730855.16070
230.4482264.88962e-06
240.4234614.61945e-06
250.3976224.33751.5e-05
260.371224.04954.6e-05
270.3441663.75440.000135
280.3209923.50160.000326
290.2973513.24370.000766
300.276323.01430.001574
310.2547052.77850.003174
320.2331342.54320.006133
330.2114182.30630.011412
340.1880972.05190.021187
350.1648291.79810.037351
360.1428511.55830.060907
370.120331.31260.095914
380.102291.11580.133368
390.0839970.91630.180683
400.0654570.7140.238297
410.0486630.53090.298256
420.0317760.34660.364737
430.0135980.14830.441163
44-0.005439-0.05930.476393
45-0.02454-0.26770.394697
46-0.043812-0.47790.316786
47-0.063389-0.69150.2453
48-0.08344-0.91020.182274


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.97473110.63310
20.0102940.11230.45539
3-0.020971-0.22880.40972
4-0.007018-0.07660.46955
5-0.01376-0.15010.440467
6-0.003859-0.04210.483245
7-0.026975-0.29430.384536
8-0.015821-0.17260.431637
9-0.024487-0.26710.394917
10-0.024259-0.26460.395874
11-0.019156-0.2090.417416
120.0441110.48120.315629
13-0.0247-0.26940.394028
14-0.0174-0.18980.424888
15-0.015888-0.17330.431348
16-0.019726-0.21520.414997
170.0133810.1460.442098
18-0.024591-0.26830.394485
190.0058670.0640.474536
20-0.020129-0.21960.413285
21-0.016117-0.17580.43037
22-0.026424-0.28820.386829
23-0.050253-0.54820.292294
24-0.017249-0.18820.425535
25-0.039936-0.43570.331939
26-0.031635-0.34510.365314
27-0.033877-0.36950.356188
280.0608270.66350.254132
29-0.024381-0.2660.395365
300.0360460.39320.347432
31-0.025276-0.27570.391617
32-0.016919-0.18460.426943
33-0.017945-0.19580.422569
34-0.057563-0.62790.265622
35-0.015946-0.1740.431098
360.0003860.00420.498324
37-0.031066-0.33890.367643
380.0677150.73870.230776
39-0.011829-0.1290.448772
40-0.025086-0.27370.39241
410.022880.24960.401666
42-0.021278-0.23210.408423
43-0.044594-0.48650.313767
44-0.035032-0.38220.351515
45-0.02926-0.31920.37507
46-0.016077-0.17540.430542
47-0.028077-0.30630.379963
48-0.030162-0.3290.371358
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/15/t1242348688ln6idn3uoquw3c0/17pez1242348252.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/15/t1242348688ln6idn3uoquw3c0/17pez1242348252.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/15/t1242348688ln6idn3uoquw3c0/2j3e51242348252.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/15/t1242348688ln6idn3uoquw3c0/2j3e51242348252.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; 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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