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ACF Uitvoer Zonder LT-trend

*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, 22 Dec 2008 09:35:25 -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/22/t1229963805p5vjl0exn16dsde.htm/, Retrieved Mon, 22 Dec 2008 17:36:47 +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/22/t1229963805p5vjl0exn16dsde.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 «
15916.4 16535.9 15796 14418.6 15044.5 14944.2 16754.8 14254 15454.9 15644.8 14568.3 12520.2 14803 15873.2 14755.3 12875.1 14291.1 14205.3 15859.4 15258.9 15498.6 15106.5 15023.6 12083 15761.3 16943 15070.3 13659.6 14768.9 14725.1 15998.1 15370.6 14956.9 15469.7 15101.8 11703.7 16283.6 16726.5 14968.9 14861 14583.3 15305.8 17903.9 16379.4 15420.3 17870.5 15912.8 13866.5 17823.2 17872 17420.4 16704.4 15991.2 16583.6 19123.5 17838.7 17209.4 18586.5 16258.1 15141.6 19202.1 17746.5 19090.1 18040.3 17515.5 17751.8 21072.4 17170 19439.5 19795.4 17574.9 16165.4 19464.6 19932.1 19961.2 17343.4 18924.2 18574.1 21350.6 18594.6 19823.1 20844.4 19640.2 17735.4 19813.6 22238.5 20682.2 17818.6 21872.1 22117 21865.9 23451.3 20953.7 22497.3
 
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
1-0.357213-3.44480.000429
2-0.289499-2.79180.003181
30.0825590.79620.213981
40.1393491.34380.091136
5-0.173215-1.67040.049099
60.2456662.36910.009949
7-0.225741-2.1770.016007
80.1948431.8790.031688
90.0204410.19710.422078
10-0.28062-2.70620.004048
11-0.160836-1.5510.062144
120.6679716.44170
13-0.229212-2.21040.014764
14-0.200428-1.93290.028148
150.0088990.08580.465899
160.0878690.84740.199479
17-0.058781-0.56690.286086
180.1379371.33020.09335
19-0.171932-1.65810.050338
200.1887061.81980.036002
21-0.007652-0.07380.470667
22-0.289296-2.78990.003198
230.0247040.23820.406112
240.3842153.70520.000179
25-0.128534-1.23950.109132
26-0.109446-1.05550.146976
27-0.065289-0.62960.265244
280.0931530.89830.185662
29-0.009207-0.08880.464719
300.042930.4140.339913
31-0.096768-0.93320.176568
320.1618361.56070.060996
33-0.037559-0.36220.359009
34-0.211242-2.03710.022239
35-0.000471-0.00450.498193
360.3144883.03280.00157
37-0.077869-0.75090.227293
38-0.112728-1.08710.139899
39-0.08928-0.8610.195731
400.1452891.40110.082254
41-0.039439-0.38030.352283
420.0215960.20830.41774
43-0.081321-0.78420.217448
440.1718751.65750.050394
45-0.087101-0.840.201538
46-0.093743-0.9040.18416
47-0.05876-0.56670.286156
480.2496952.4080.009007
49-0.02553-0.24620.403035
50-0.104972-1.01230.157007
51-0.094136-0.90780.183162
520.1623981.56610.06036
53-0.077459-0.7470.228477
540.0536940.51780.302912
55-0.085479-0.82430.205931
560.1136581.09610.137937
57-0.027209-0.26240.396801
58-0.081098-0.78210.218076
59-0.074308-0.71660.237708
600.2297552.21570.014577


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.357213-3.44480.000429
2-0.478107-4.61076e-06
3-0.358232-3.45470.000416
4-0.211475-2.03940.022124
5-0.39355-3.79530.000131
60.0324060.31250.377675
7-0.280869-2.70860.004021
80.2411862.32590.011098
90.3640333.51060.000346
100.0517040.49860.309615
11-0.452933-4.36791.6e-05
120.0591850.57080.284768
130.1301451.25510.106299
140.2164562.08740.019792
150.1442961.39150.08369
160.0186170.17950.428952
170.0213570.2060.418638
18-0.106882-1.03070.152671
19-0.084497-0.81490.208618
20-0.07145-0.6890.246257
210.0147230.1420.443702
22-0.088145-0.850.198742
230.1278161.23260.110413
24-0.004729-0.04560.481861
250.0305050.29420.384639
260.0540240.5210.301807
27-0.036541-0.35240.362672
280.1605951.54870.062423
290.0174790.16860.433253
300.0850180.81990.207188
31-0.047416-0.45730.324274
32-0.078958-0.76140.22416
33-0.057308-0.55270.290912
340.0027670.02670.489385
35-0.135513-1.30680.097245
360.0069910.06740.473195
370.0446310.43040.333949
380.0135260.13040.44825
39-0.069597-0.67120.251889
40-0.020495-0.19760.421877
41-0.038615-0.37240.355224
420.0263920.25450.399828
43-0.029967-0.2890.386617
440.0325170.31360.377271
45-0.026026-0.2510.401189
460.0658470.6350.263493
470.1116991.07720.142093
480.0243480.23480.40744
490.0186480.17980.428835
50-0.028792-0.27770.390945
510.007250.06990.472205
52-0.000803-0.00770.496921
53-0.074583-0.71920.236895
540.014680.14160.443863
55-0.001636-0.01580.493722
56-0.086241-0.83170.20386
570.0024630.02370.490552
58-0.076402-0.73680.23155
59-0.033089-0.31910.375184
600.0508290.49020.312582
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/22/t1229963805p5vjl0exn16dsde/1f8931229963723.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/22/t1229963805p5vjl0exn16dsde/1f8931229963723.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/22/t1229963805p5vjl0exn16dsde/2l2521229963723.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/22/t1229963805p5vjl0exn16dsde/2l2521229963723.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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