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paper uitvoer

*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: Mon, 15 Dec 2008 07:10:48 -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/15/t1229350307banbwtv4z70q0po.htm/, Retrieved Mon, 15 Dec 2008 15:11:50 +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/15/t1229350307banbwtv4z70q0po.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 «
6392.3 8686.4 9244.7 8182.7 7451.4 7988.8 8243.5 8843 9092.7 8246.7 9311.7 8341.2 7116.7 9635.7 9815.4 8611.3 8297.8 8715.1 8919.9 10085.8 9511.7 8991.3 10311.2 8895.4 7449.8 10084 9859.4 9100.1 8920.8 8502.7 8599.6 10394.4 9290.4 8742.2 10217.3 8639 8139.6 10779.1 10427.7 10349.1 10036.4 9492.1 10638.8 12054.5 10324.7 11817.3 11008.9 9996.6 9419.5 11958.8 12594.6 11890.6 10871.7 11835.7 11542.2 13093.7 11180.2 12035.7 12112 10875.2 9897.3 11672.1 12385.7 11405.6 9830.9 11025.1 10853.8 12252.6 11839.4 11669.1 11601.4 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 13260.6 14741.9 15486.5 13154.5 12621.2
 
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
1-0.279471-3.06150.001359
2-0.356274-3.90287.9e-05
30.1531471.67760.04801
4-0.033942-0.37180.355343
5-0.116187-1.27280.102781
60.3500193.83430.000101
7-0.241949-2.65040.004562
80.1077541.18040.120091
90.1464271.6040.055669
10-0.47861-5.24290
11-0.102611-1.1240.131618
120.750728.22370
13-0.244913-2.68290.004164
14-0.203907-2.23370.013678
150.0431850.47310.318512
16-0.05616-0.61520.269794
17-0.003639-0.03990.484135
180.2452042.68610.004127
19-0.253728-2.77950.003161
200.2103882.30470.011452
210.0562760.61650.269376
22-0.446013-4.88582e-06
230.0039740.04350.482676
240.5552626.08260
25-0.180471-1.9770.025169
26-0.12082-1.32350.09409
27-0.072839-0.79790.21325
280.0121350.13290.447233
290.0203390.22280.412033
300.1359541.48930.069516
31-0.174267-1.9090.029325
320.2150262.35550.01006
33-0.045134-0.49440.310959
34-0.288481-3.16020.000998
35-0.026953-0.29530.384155
360.4161264.55846e-06
37-0.033643-0.36850.356561
38-0.163854-1.79490.037591
39-0.097115-1.06380.144769
400.0940251.030.152543
41-0.028536-0.31260.377563
420.0917391.00490.158472
43-0.065251-0.71480.238063
440.1106481.21210.11393
45-0.0282-0.30890.378962
46-0.181852-1.99210.024316
47-0.102222-1.11980.13252
480.3767294.12693.4e-05
490.0187730.20560.418707
50-0.217647-2.38420.009342
51-0.017926-0.19640.422327
520.0877890.96170.169071
53-0.097806-1.07140.143067
540.1403861.53790.063358
55-0.058547-0.64130.26126
560.015950.17470.430797
570.0633090.69350.244662
58-0.168279-1.84340.033869
59-0.1547-1.69470.046367
600.4122094.51557e-06


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.279471-3.06150.001359
2-0.47118-5.16150
3-0.174307-1.90940.029297
4-0.288328-3.15850.001003
5-0.346417-3.79480.000117
60.1189811.30340.097472
7-0.252958-2.7710.003239
80.306953.36250.000519
90.2874793.14920.001033
10-0.301997-3.30820.00062
11-0.508725-5.57280
120.2665332.91970.002093
130.1606981.76040.040448
140.0851510.93280.176402
15-0.164457-1.80150.037065
160.0809570.88680.18847
170.0099110.10860.456862
18-0.005848-0.06410.474514
19-0.01313-0.14380.442938
200.009290.10180.459555
21-0.102409-1.12180.132086
22-0.075105-0.82270.206144
230.0264290.28950.386345
240.0497860.54540.293254
250.0206990.22670.410503
26-0.030389-0.33290.369899
27-0.141288-1.54770.06216
280.1106571.21220.113911
29-0.099164-1.08630.139764
30-0.082826-0.90730.18303
31-0.007811-0.08560.465979
32-0.060656-0.66450.253838
33-0.158292-1.7340.042743
340.0774520.84840.198939
350.0149160.16340.435242
36-0.071161-0.77950.218601
370.0740610.81130.209401
38-0.001427-0.01560.493777
390.03360.36810.356735
400.0467310.51190.304828
41-0.007125-0.07810.468958
42-0.016084-0.17620.43022
430.0338680.3710.355643
44-0.050418-0.55230.290886
450.0175160.19190.424081
460.0360460.39490.346822
470.0756380.82860.204495
480.0152540.16710.433787
49-0.010287-0.11270.455234
500.009270.10150.459644
510.1307471.43230.077335
520.0281870.30880.379014
53-0.019158-0.20990.417066
540.0196320.21510.415044
55-0.0435-0.47650.317284
56-0.089944-0.98530.163232
57-0.001889-0.02070.491762
58-0.003102-0.0340.486476
59-0.012551-0.13750.445435
600.0062860.06890.472609
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/15/t1229350307banbwtv4z70q0po/18pyz1229350246.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/15/t1229350307banbwtv4z70q0po/18pyz1229350246.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/15/t1229350307banbwtv4z70q0po/2gnjs1229350246.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/15/t1229350307banbwtv4z70q0po/2gnjs1229350246.ps (open in new window)


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