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Paper Analyse (16)

*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: Sun, 21 Dec 2008 04:54:36 -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/Dec/21/t1229860528p9t8qt3kj92aufj.htm/, Retrieved Sun, 21 Dec 2008 12:55:30 +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/2008/Dec/21/t1229860528p9t8qt3kj92aufj.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},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1593 1477.9 1733.7 1569.7 1843.7 1950.3 1657.5 1772.1 1568.3 1809.8 1646.7 1808.5 1763.9 1625.5 1538.8 1342.4 1645.1 1619.9 1338.1 1505.5 1529.1 1511.9 1656.7 1694.4 1662.3 1588.7 1483.3 1585.6 1658.9 1584.4 1470.6 1618.7 1407.6 1473.9 1515.3 1485.4 1496.1 1493.5 1298.4 1375.3 1507.9 1455.3 1363.3 1392.8 1348.8 1880.3 1669.2 1543.6 1701.2 1516.5 1466.8 1484.1 1577.2 1684.5 1414.7 1674.5 1598.7 1739.1 1674.6 1671.8 1802 1526.8 1580.9 1634.8 1610.3 1712 1678.8 1708.1 1680.6 2056 1624 2021.4 1861.1 1750.8 1767.5 1710.3 2151.5 2047.9 1915.4 1984.7 1896.5 2170.8 2139.9 2330.5 2121.8 2226.8 1857.9 2155.9 2341.7 2290.2 2006.5 2111.9 1731.3 1762.2 1863.2 1943.5 1975.2
 
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
10.6886256.78220
20.6615536.51550
30.625256.1580
40.5787315.69980
50.6247416.1530
60.5687625.60170
70.5651515.56610
80.4890874.8173e-06
90.4190344.1273.9e-05
100.394973.899.2e-05
110.4324324.2592.4e-05
120.4881434.80763e-06
130.3282743.23310.000837
140.337183.32080.000633
150.2500772.4630.007771
160.2327222.2920.012032
170.2637782.59790.00542
180.2519152.48110.00741
190.2039132.00830.023696
200.1831161.80350.037208
210.1053991.03810.150912
220.089330.87980.190572
230.1235681.2170.113278
240.1383831.36290.088033
250.0271840.26770.394737
260.0089720.08840.464883
27-0.101919-1.00380.158989
28-0.074022-0.7290.233869
29-0.051828-0.51040.305451
30-0.133685-1.31660.09553
31-0.107076-1.05460.14712
32-0.124777-1.22890.11104
33-0.201137-1.9810.025213
34-0.193787-1.90860.029636
35-0.177363-1.74680.041916
36-0.123857-1.21980.11274
37-0.225017-2.21620.014509
38-0.241729-2.38080.009615
39-0.284225-2.79930.00309
40-0.262612-2.58640.005592
41-0.248355-2.4460.008123
42-0.278682-2.74470.003609
43-0.237149-2.33560.010785
44-0.304744-3.00140.001708
45-0.365767-3.60240.00025
46-0.303803-2.99210.001757
47-0.327566-3.22620.000856
48-0.259385-2.55460.006092
49-0.288217-2.83860.00276
50-0.301054-2.9650.001905
51-0.303691-2.9910.001762
52-0.306621-3.01990.001616
53-0.26655-2.62520.005031
54-0.251548-2.47750.007481
55-0.224845-2.21450.014569
56-0.251366-2.47570.007516
57-0.250218-2.46440.007743
58-0.223896-2.20510.014904
59-0.200976-1.97940.025303
60-0.125759-1.23860.109244


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6886256.78220
20.3563133.50930.000342
30.1887521.8590.03303
40.0751870.74050.230391
50.2266122.23190.013963
60.0295140.29070.385959
70.0589970.58110.281276
8-0.103396-1.01830.155526
9-0.131399-1.29410.099347
10-0.07268-0.71580.237913
110.1486941.46450.07315
120.2258112.2240.014235
13-0.272153-2.68040.004321
14-0.02816-0.27730.391053
15-0.112259-1.10560.135813
16-0.005277-0.0520.479327
170.0349850.34460.365585
180.0935750.92160.179511
19-0.156381-1.54020.063387
200.0840120.82740.205015
21-0.04945-0.4870.313671
22-0.042386-0.41750.338635
23-0.010568-0.10410.45866
240.0926190.91220.181964
25-0.222966-2.1960.015239
26-0.060618-0.5970.275944
27-0.139778-1.37670.085894
280.0540680.53250.297797
290.0347380.34210.366498
30-0.143826-1.41650.079914
310.0283060.27880.390502
320.1128571.11150.134548
330.0261180.25720.398773
34-0.074927-0.73790.231164
35-0.002055-0.02020.491947
360.0905270.89160.187411
37-0.118862-1.17070.122302
38-0.08647-0.85160.19826
390.031580.3110.378223
40-0.065177-0.64190.261218
410.0341680.33650.368605
420.0046320.04560.481855
43-0.023267-0.22920.409617
44-0.126608-1.24690.10771
45-0.006063-0.05970.476253
460.0584540.57570.283075
47-0.098266-0.96780.167773
480.1035261.01960.155224
490.1111281.09450.138228
50-0.001457-0.01440.494289
510.0483170.47590.31762
52-0.082754-0.8150.208524
53-0.01338-0.13180.447715
540.0100450.09890.460699
55-0.006691-0.06590.473797
56-0.065684-0.64690.259609
570.0440820.43420.332571
580.0296050.29160.385615
590.0863440.85040.198602
60-0.023857-0.2350.407367
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229860528p9t8qt3kj92aufj/1fysv1229860474.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229860528p9t8qt3kj92aufj/1fysv1229860474.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229860528p9t8qt3kj92aufj/29aqo1229860474.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229860528p9t8qt3kj92aufj/29aqo1229860474.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = -1.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = -1.0 ; 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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