Home » date » 2008 » Dec » 21 »

Werkloosheid - Jongeren < 25 jaar - ACF 3

*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 04:28:19 -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/t1229859176olbggj410t6f2t7.htm/, Retrieved Sun, 21 Dec 2008 12:32:58 +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/t1229859176olbggj410t6f2t7.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 «
21.1 21 20.4 19.5 18.6 18.8 23.7 24.8 25 23.6 22.3 21.8 20.8 19.7 18.3 17.4 17 18.1 23.9 25.6 25.3 23.6 21.9 21.4 20.6 20.5 20.2 20.6 19.7 19.3 22.8 23.5 23.8 22.6 22 21.7 20.7 20.2 19.1 19.5 18.7 18.6 22.2 23.2 23.5 21.3 20 18.7 18.9 18.3 18.4 19.9 19.2 18.5 20.9 20.5 19.4 18.1 17 17
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4850463.32530.00086
20.0934990.6410.26232
3-0.477112-3.27090.001006
4-0.633469-4.34283.7e-05
5-0.479986-3.29060.00095
6-0.131088-0.89870.186698
70.2879191.97390.027145
80.4094362.8070.003629
90.4469253.0640.001805
100.0682530.46790.321003
11-0.156569-1.07340.14429
12-0.43552-2.98580.00224
13-0.380114-2.60590.006117
14-0.114817-0.78710.217574
150.1781371.22120.114042
160.4163462.85430.003199
170.3354932.30.012967
180.0857580.58790.279698
19-0.178472-1.22350.113612
20-0.350558-2.40330.010123
21-0.325737-2.23310.01517
22-0.158291-1.08520.141686
230.1356650.93010.178543
240.2925092.00530.025352
250.3940382.70140.004787
260.1795011.23060.112299
27-0.056174-0.38510.350948
28-0.279957-1.91930.030516
29-0.311837-2.13780.01888
30-0.158911-1.08940.140758
310.0187220.12830.44921
320.2017861.38340.086542
330.1917391.31450.097529
340.1244530.85320.198936
35-0.019175-0.13150.447987
36-0.083584-0.5730.284681
37-0.188928-1.29520.100784
38-0.122432-0.83930.202761
39-0.038416-0.26340.396709
400.0747720.51260.305311
410.117540.80580.212203
420.1082940.74240.230762
430.0380440.26080.397688
44-0.029854-0.20470.419357
45-0.035819-0.24560.403545
46-0.037055-0.2540.400289
47NANANA
48NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4850463.32530.00086
2-0.185387-1.27090.105001
3-0.59713-4.09378.3e-05
4-0.288531-1.97810.0269
5-0.033683-0.23090.409189
6-0.119264-0.81760.208847
70.0248760.17050.432659
8-0.116077-0.79580.21508
90.1262290.86540.195613
10-0.198279-1.35930.090264
11-0.041484-0.28440.388676
12-0.155593-1.06670.145779
13-0.126462-0.8670.195179
140.084540.57960.282484
150.0030.02060.49184
160.0041680.02860.488663
17-0.020689-0.14180.443907
18-0.204999-1.40540.083239
190.1130490.7750.221104
20-0.104748-0.71810.238121
21-0.105131-0.72070.237318
22-0.111855-0.76680.223507
230.0142190.09750.46138
24-0.020868-0.14310.443426
250.0762270.52260.301859
26-0.108354-0.74280.230638
270.0113130.07760.469253
28-0.028279-0.19390.423557
290.1295080.88790.189569
30-0.032758-0.22460.411642
31-0.072017-0.49370.3119
32-0.052054-0.35690.361396
33-0.025477-0.17470.431048
34-0.089626-0.61440.270943
350.079140.54260.294999
36-0.006794-0.04660.481523
37-0.113821-0.78030.219559
38-0.020766-0.14240.443701
39-0.022514-0.15440.438997
40-0.104895-0.71910.237813
41-0.154112-1.05650.148061
42-0.026093-0.17890.429398
430.0345810.23710.406815
44-0.06195-0.42470.336494
450.0464890.31870.375679
460.0053040.03640.485575
47NANANA
48NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229859176olbggj410t6f2t7/1jy881229858897.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229859176olbggj410t6f2t7/1jy881229858897.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229859176olbggj410t6f2t7/2myu01229858897.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229859176olbggj410t6f2t7/2myu01229858897.ps (open in new window)


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