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Autocorrelatie Boekenverkoop Noorwegen

*Unverified author*
R Software Module: /rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Wed, 17 Nov 2010 15:36:10 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Nov/17/t12900082286xzo5efz5cpk1sj.htm/, Retrieved Wed, 17 Nov 2010 16:37:09 +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/2010/Nov/17/t12900082286xzo5efz5cpk1sj.htm/},
    year = {2010},
}
@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 = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
Autocorrelatie van het indexcijfer van de Boekenverkoop in Noorwegen (2001-2009)
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
KDGP2W12
 
Dataseries X:
» Textbox « » Textfile « » CSV «
90 69,3 87,3 57,4 56,2 61,6 77,7 177,2 97,6 81,6 96,8 191,3 106 75,1 72 63,5 57,4 62,3 79,4 178,1 109,3 85,2 102,7 193,7 108,4 73,4 85,9 58,5 58,6 62,7 77,5 180,5 102,2 82,6 97,8 197,8 93,8 72,4 77,7 58,7 53,1 64,3 76,4 188,4 105,5 79,8 96,1 202,5 97,3 89,5 64,7 61,2 57,8 62 76,3 195 110,9 81,4 101,7 202,2 97,4 68,5 86,8 59,1 62,4 66,2 68 198,5 120,4 90,2 103,2 207,3 106,4 75,5 97,3 60 67,5 71,2 73,7 213,3 114,6 96,1 117 229,2 105,6 99,9 79,3 72,5 67,4 78,3 85,7 177,4 113,6 94,1 105,7 228,3 100,3 70,3 94,2 66,5 64,4 73,7 87,9 152,2 97,3 89,3 107,6 228,4
 
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'RServer@AstonUniversity' @ vre.aston.ac.uk


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1529171.58920.057473
2-0.145397-1.5110.066853
3-0.055985-0.58180.280954
40.1549221.610.055159
5-0.25948-2.69660.004064
6-0.376109-3.90868.1e-05
7-0.278642-2.89570.00229
80.0900210.93550.175803
9-0.070119-0.72870.233881
10-0.158237-1.64440.051496
110.1374541.42850.078022
120.8811739.15740
130.1362161.41560.079886
14-0.134658-1.39940.082279
15-0.040943-0.42550.33566
160.1593241.65570.050338
17-0.2436-2.53160.006397
18-0.339798-3.53130.000305
19-0.247527-2.57240.005729
200.0623110.64760.259323
21-0.072924-0.75790.225096
22-0.139471-1.44940.075058
230.1169531.21540.113431
240.7709418.01180
250.1140451.18520.119271
26-0.119572-1.24260.108347
27-0.032705-0.33990.367302
280.1595541.65810.050096
29-0.214073-2.22470.01409
30-0.294488-3.06040.001394
31-0.217091-2.25610.01304
320.0455120.4730.318593
33-0.059728-0.62070.268049
34-0.127616-1.32620.093782
350.0973561.01170.15696
360.6511656.76710
370.0934870.97150.166723
38-0.102479-1.0650.144628
39-0.031102-0.32320.373576
400.1333081.38540.084396
41-0.179005-1.86030.032784
42-0.253751-2.63710.004798
43-0.191558-1.99070.024519
440.0308010.32010.374758
45-0.060124-0.62480.266702
46-0.109285-1.13570.129293
470.0766620.79670.213689
480.529395.50160


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1529171.58920.057473
2-0.172822-1.7960.037643
3-0.003674-0.03820.484808
40.1482491.54070.063163
5-0.348059-3.61710.000227
6-0.261014-2.71250.003886
7-0.301847-3.13690.0011
8-0.003307-0.03440.486323
9-0.171372-1.78090.038866
10-0.236311-2.45580.007826
110.0343290.35680.360984
120.8201768.52350
13-0.153371-1.59390.056943
14-0.008612-0.08950.464427
15-0.042025-0.43670.331587
16-0.235581-2.44820.007983
170.0212730.22110.412724
180.124111.28980.099939
190.1547751.60850.055326
200.1066431.10830.135103
21-0.00143-0.01490.494085
220.0379660.39460.346975
23-0.173893-1.80710.036762
24-0.062697-0.65160.258032
25-0.005825-0.06050.475919
260.0454440.47230.318844
270.0864680.89860.185433
280.0634330.65920.25558
290.0996841.0360.15127
30-0.010006-0.1040.458688
31-0.074939-0.77880.218905
32-0.017232-0.17910.429106
33-0.003196-0.03320.486784
34-0.031563-0.3280.37177
350.0617890.64210.261073
36-0.054247-0.56380.287045
370.0253710.26370.396272
380.0516480.53670.296276
39-0.0265-0.27540.391769
40-0.082209-0.85430.197404
410.0347370.3610.359403
42-0.067716-0.70370.241558
43-0.023407-0.24320.404137
440.0238950.24830.402176
45-0.080183-0.83330.203261
460.0466780.48510.314297
47-0.0265-0.27540.391768
48-0.125165-1.30080.098056
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Nov/17/t12900082286xzo5efz5cpk1sj/11r6u1290008166.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/17/t12900082286xzo5efz5cpk1sj/11r6u1290008166.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Nov/17/t12900082286xzo5efz5cpk1sj/21r6u1290008166.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/17/t12900082286xzo5efz5cpk1sj/21r6u1290008166.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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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