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acf laaggeschoolden

*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: Tue, 21 Dec 2010 19:24:27 +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/Dec/21/t12929593498xde18836whbtss.htm/, Retrieved Tue, 21 Dec 2010 20:22:32 +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/Dec/21/t12929593498xde18836whbtss.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:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
104708 101817 97898 95559 92822 90848 101141 105841 93647 90923 89130 90212 93196 91861 90593 89895 88819 87924 96906 101217 98709 98139 95529 98577 100772 100180 99200 96251 94514 93780 105192 107682 99687 99436 102049 102673 105813 105056 103916 103513 101893 102503 113149 116696 108500 107800 105941 108742 111680 111270 110698 108517 107127 107088 116321 125045 116779 122887 120162 123198 123610 122293 121289 119393 117494 116693 125062 127281 120195 119804 117113 119240 115823 116281 113816 114632 112987 111633 116721 114850 112797 105368 102524 101327 102612 98873 95993 93244 90403 88539 98106 96963 90781 89253 87794 89810 90864 89025 87621 87718 83433 84535 92223 91052 88456 88706 89137 94066 99258 100673 102269 100833 99314 101764 108242 108148 104761 103772 103737 111043 109906 109335 107247 105690 102755 102280 110590 109122 102803 101424 99138
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.92697510.60970
20.8458599.68130
30.8090249.25970
40.7999389.15570
50.804049.20270
60.7833998.96640
70.7251398.29960
80.6426077.3550
90.5758336.59070
100.5317856.08660
110.5360076.13490
120.5281756.04520
130.4230164.84162e-06
140.3126723.57870.000242
150.242222.77230.003189
160.2019672.31160.01118
170.1774062.03050.022165
180.1363891.5610.060463
190.0642470.73530.231725
20-0.022399-0.25640.399036
21-0.090426-1.0350.151294
22-0.13426-1.53670.063392
23-0.126727-1.45050.07466
24-0.134541-1.53990.063
25-0.225413-2.580.005492
26-0.31535-3.60930.000218
27-0.354529-4.05784.2e-05
28-0.369107-4.22462.2e-05
29-0.366335-4.19292.5e-05
30-0.378389-4.33091.5e-05
31-0.412006-4.71563e-06
32-0.452968-5.18450
33-0.476675-5.45580
34-0.479-5.48240
35-0.435245-4.98161e-06
36-0.407469-4.66374e-06
37-0.454201-5.19860
38-0.499123-5.71270
39-0.504706-5.77660
40-0.488232-5.58810
41-0.454336-5.20010
42-0.438656-5.02071e-06
43-0.444233-5.08451e-06
44-0.459388-5.25790
45-0.462152-5.28960
46-0.443456-5.07561e-06
47-0.387787-4.43841e-05
48-0.343472-3.93126.8e-05


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.92697510.60970
2-0.095396-1.09190.13845
30.2765713.16550.000963
40.1472981.68590.047098
50.1756052.00990.023248
6-0.087052-0.99640.160456
7-0.181594-2.07840.019811
8-0.267132-3.05750.001353
9-0.10655-1.21950.11242
10-0.114698-1.31280.095776
110.327133.74420.000135
120.0016650.01910.492414
13-0.538178-6.15970
14-0.027624-0.31620.37619
15-0.006197-0.07090.47178
16-0.045314-0.51860.302442
170.0034040.0390.484493
18-0.011866-0.13580.44609
190.003460.03960.484234
200.0009930.01140.495474
210.0240610.27540.391723
22-0.01003-0.11480.454389
230.0945531.08220.140575
24-0.065005-0.7440.229099
25-0.232364-2.65950.004401
26-0.013567-0.15530.438418
270.1624471.85930.032615
28-0.117922-1.34970.089724
290.0533210.61030.271365
30-0.020018-0.22910.409568
310.1250721.43150.077332
320.0101370.1160.453906
330.0319070.36520.357778
34-0.07188-0.82270.206086
350.0129790.14860.441068
36-0.063213-0.72350.235331
37-0.095857-1.09710.137298
38-0.084381-0.96580.167967
39-0.088243-1.010.157181
40-0.083386-0.95440.17082
410.0488820.55950.288396
42-0.056375-0.64520.259948
430.0432280.49480.310795
44-0.064711-0.74070.230115
45-0.00618-0.07070.47186
460.0027940.0320.487271
47-0.057156-0.65420.25707
480.0700840.80210.211961
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/21/t12929593498xde18836whbtss/19jqm1292959465.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/21/t12929593498xde18836whbtss/19jqm1292959465.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/21/t12929593498xde18836whbtss/29jqm1292959465.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/21/t12929593498xde18836whbtss/29jqm1292959465.ps (open in new window)


 
Parameters (Session):
par1 = multiplicative ; par2 = 12 ;
 
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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