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autocorr duur cons D

*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 10:18:56 -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/t1229880037zhwelvpqu8vnmgb.htm/, Retrieved Sun, 21 Dec 2008 18:20:39 +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/t1229880037zhwelvpqu8vnmgb.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 «
72.5 72.0 98.8 75.2 81.2 88.0 54.6 68.6 101.5 93.4 84.5 91.4 64.5 64.5 117.3 73.5 79.7 102.6 57.9 73.1 102.4 82.3 89.1 84.7 81.4 67.5 113.9 83.8 73.9 103.9 67.9 62.5 125.4 79.1 106.3 96.2 94.3 85.6 117.4 88.5 124.2 119.3 76.8 70.6 122.1 109.5 119.9 102.3 79.6 78.2 103.6 77.8 99.1 105.7 84.1 88.7 108.0 98.1 101.0 82.0
 
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
10.2552071.76810.041698
20.2139411.48220.072408
30.1621141.12320.133478
40.042340.29330.385263
50.3030152.09940.020535
60.1497611.03760.152333
7-0.000816-0.00570.497757
80.1757891.21790.114607
9-0.0367-0.25430.400188
100.1095150.75870.225858
11-0.169249-1.17260.123373
12-0.316027-2.18950.016727
13-0.087719-0.60770.273114
14-0.215145-1.49060.071309
15-0.00547-0.03790.484963
16-0.180327-1.24930.108799
17-0.232418-1.61020.056952
18-0.123647-0.85670.197947
19-0.231012-1.60050.058025
20-0.075486-0.5230.301697
21-0.015392-0.10660.457761
22-0.104754-0.72580.235756
230.0390730.27070.393888
24-0.16719-1.15830.126231
25-0.069542-0.48180.316067
260.0258450.17910.429322
27-0.049704-0.34440.36604
280.0062470.04330.482829
29-0.01062-0.07360.470826
300.0217170.15050.440517
310.0812460.56290.288064
32-0.03134-0.21710.414514
33-0.043099-0.29860.383268
34-0.100105-0.69350.245654
35-0.019245-0.13330.447244
360.0434790.30120.382271
370.0570410.39520.347226
380.0428250.29670.383989
39-0.013861-0.0960.461946
400.0316280.21910.41374
410.0232540.16110.436343
42-0.061915-0.4290.334935
43-0.00339-0.02350.49068
440.0076470.0530.478984
456.7e-055e-040.499815
460.0473760.32820.372082
470.0250450.17350.431486
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2552071.76810.041698
20.1591781.10280.137802
30.082950.57470.284091
4-0.046107-0.31940.375391
50.2905732.01320.024863
60.0228280.15820.437498
7-0.146867-1.01750.157002
80.1514211.04910.149698
9-0.085794-0.59440.277519
100.0323480.22410.411811
11-0.319777-2.21550.015752
12-0.233615-1.61850.056051
130.0209190.14490.442686
14-0.127659-0.88440.190432
150.1097060.76010.225467
16-0.171624-1.1890.120136
170.1033320.71590.238759
18-0.070991-0.49180.312537
19-0.053565-0.37110.356095
200.1150730.79730.214616
210.0990160.6860.248006
220.1019440.70630.241712
23-0.151113-1.04690.150185
24-0.136629-0.94660.174293
25-0.086441-0.59890.276034
260.0419660.29080.386247
27-0.010279-0.07120.471761
28-0.213469-1.4790.072842
290.0885970.61380.271118
30-0.05552-0.38470.351098
31-0.002074-0.01440.494297
32-0.037977-0.26310.396796
330.0045060.03120.487611
340.0179350.12430.450815
35-0.109148-0.75620.226613
36-0.042113-0.29180.38586
370.0968390.67090.252743
380.1000260.6930.245824
39-0.033016-0.22870.41002
40-0.031649-0.21930.413686
41-0.005664-0.03920.48443
42-0.127424-0.88280.190867
43-0.040938-0.28360.388958
44-0.0185-0.12820.449274
45-0.057742-0.40.345448
46-0.039044-0.27050.393966
47-0.01334-0.09240.463375
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229880037zhwelvpqu8vnmgb/1mn3n1229879935.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229880037zhwelvpqu8vnmgb/1mn3n1229879935.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229880037zhwelvpqu8vnmgb/2iy441229879935.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229880037zhwelvpqu8vnmgb/2iy441229879935.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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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