Home » date » 2009 » Apr » 26 »

cijferreeks - verkoop eengezinswoningen - Anne-Sophie De Smedt

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Sun, 26 Apr 2009 08:38:43 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Apr/26/t12407567535cmyz3lv3o4649x.htm/, Retrieved Sun, 26 Apr 2009 16:39:14 +0200
 
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/2009/Apr/26/t12407567535cmyz3lv3o4649x.htm/},
    year = {2009},
}
@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 = {2009},
    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 «
53 59 73 72 62 58 55 56 52 52 43 37 43 55 68 68 64 65 57 59 54 57 43 42 52 51 58 60 61 58 62 61 49 51 47 40 45 50 58 52 50 50 46 46 38 37 34 29 30 40 46 46 47 47 43 46 37 41 39 36 48 55 56 53 52 53 52 56 51 48 42 42 44 50 60 66 58 59 55 57 57 56 53 51 45 58 74 65 65 55 52 59 54 57 45 40 47 47 60 58 63 64 64 63 55 54 44
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0884170.91030.182362
2-0.020256-0.20850.4176
3-0.160651-1.6540.050543
4-0.275099-2.83230.002766
50.0398550.41030.341195
6-0.141431-1.45610.074157
70.0548560.56480.28671
8-0.272966-2.81040.002948
9-0.283808-2.9220.002126
100.0478510.49270.311637
110.1735751.78710.038393
120.4818844.96131e-06
130.119731.23270.110207
140.0826690.85110.198309
15-0.109871-1.13120.130264
16-0.137601-1.41670.079753
170.0226420.23310.408063
18-0.157549-1.62210.05388
190.0043690.0450.482103
20-0.257139-2.64740.004674
21-0.124506-1.28190.101342
220.070170.72240.235807
230.0700660.72140.236134
240.3311963.40990.00046
250.1869221.92450.028488
260.0617990.63630.262989
27-0.137932-1.42010.079257
28-0.055005-0.56630.286191
29-0.061647-0.63470.263497
30-0.151539-1.56020.060848
310.0179070.18440.427042
32-0.194228-1.99970.024045
33-0.101685-1.04690.148761
340.022760.23430.40759
350.0407210.41930.33794
360.3665493.77390.000133
370.1150751.18480.11938
380.0339850.34990.363556
39-0.115924-1.19350.117667
40-0.079753-0.82110.206713
410.0153310.15780.437441
42-0.150342-1.54790.062318
43-0.007725-0.07950.46838
44-0.118149-1.21640.113263
45-0.105325-1.08440.140327
46-0.031473-0.3240.373276
470.1308411.34710.090412
480.2777552.85970.002554


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0884170.91030.182362
2-0.028295-0.29130.38569
3-0.157665-1.62330.053752
4-0.256068-2.63640.004819
50.0770590.79340.214666
6-0.200039-2.05950.020947
70.0022970.02370.490587
8-0.395433-4.07124.5e-05
9-0.343296-3.53440.000304
10-0.139369-1.43490.077131
110.0364370.37510.354154
120.2285882.35350.010222
13-0.011487-0.11830.45304
140.0989131.01840.15541
15-0.01555-0.16010.436554
160.0680270.70040.242613
17-0.046918-0.4830.315029
18-0.142043-1.46240.073292
190.0127550.13130.447884
20-0.052819-0.54380.293858
210.0599530.61730.269194
220.0335280.34520.365318
23-0.034476-0.3550.361664
240.0513840.5290.298946
250.2094542.15650.016654
26-0.023845-0.24550.403272
27-0.170577-1.75620.040971
280.04230.43550.332041
29-0.088083-0.90690.183265
30-0.056415-0.58080.281295
310.0380990.39230.347829
32-0.082478-0.84920.198852
33-0.053043-0.54610.293068
340.1100641.13320.129848
35-0.150797-1.55250.061756
360.1012171.04210.149871
37-0.004925-0.05070.479827
38-0.160595-1.65340.050601
39-0.131812-1.35710.088818
400.052930.5450.293466
41-0.040518-0.41720.338703
42-0.095471-0.98290.163939
43-0.00374-0.03850.48468
44-0.003376-0.03480.486167
450.077490.79780.213382
46-0.098084-1.00980.157437
47-0.084809-0.87320.192273
480.0137310.14140.443923
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Apr/26/t12407567535cmyz3lv3o4649x/1p1nr1240756719.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Apr/26/t12407567535cmyz3lv3o4649x/1p1nr1240756719.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Apr/26/t12407567535cmyz3lv3o4649x/2m60r1240756719.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Apr/26/t12407567535cmyz3lv3o4649x/2m60r1240756719.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; 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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