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(P)ACF tabaksproductie

*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: Sat, 13 Dec 2008 05:52:28 -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/13/t1229172789g1twj3bsqmzfoz3.htm/, Retrieved Sat, 13 Dec 2008 13:53:10 +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/13/t1229172789g1twj3bsqmzfoz3.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 «
44.9 48.1 52.3 48.9 52.6 60.3 50.5 41.6 56 51.4 52.9 54.9 43.9 51 51.9 54.3 50.3 57.2 48.8 41.1 58 63 53.8 54.7 55.5 56.1 69.6 69.4 57.2 68 53.3 47.9 60.8 61.7 57.8 51.4 50.5 48.1 58.7 54 56.1 60.4 51.2 50.7 56.4 53.3 52.6 47.7 49.5 48.5 55.3 49.8 57.4 64.6 53 41.5 55.9 58.4 53.5 50.6 58.5
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.360148-2.49520.008041
2-0.116148-0.80470.212481
30.2124621.4720.073777
4-0.237959-1.64860.052878
50.1042130.7220.236895
60.1310450.90790.184233
7-0.162335-1.12470.133157
80.0774770.53680.29695
9-0.008105-0.05620.477726
10-0.085236-0.59050.278802
110.1207620.83670.203463
12-0.202583-1.40350.083447
130.0183980.12750.449553
140.2151491.49060.071305
15-0.355828-2.46530.00866
160.2464711.70760.047086
170.0450540.31210.378141
18-0.203453-1.40960.082557
190.1731571.19970.118078
20-0.050166-0.34760.364844
21-0.090065-0.6240.267794
220.1434820.99410.162587
230.0402120.27860.390876
24-0.22624-1.56740.061791
250.0963320.66740.253854
26-0.104601-0.72470.236079
270.0787190.54540.294009
280.0653120.45250.326476
29-0.123379-0.85480.198456
300.0349410.24210.404876
31-0.053321-0.36940.356721
32-0.006997-0.04850.48077
330.1232390.85380.198721
34-0.092083-0.6380.263263
35-0.018735-0.12980.448635
360.0812180.56270.288131
37-0.036186-0.25070.401558
38-0.010219-0.07080.471926
390.0805730.55820.289642
40-0.062396-0.43230.333732
410.0276030.19120.424573
42-0.000555-0.00380.498475
43-0.019002-0.13160.447906
44-0.000708-0.00490.498053
450.0061040.04230.483222
46-0.008262-0.05720.477296
470.0127850.08860.464894
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.360148-2.49520.008041
2-0.282496-1.95720.028077
30.0712680.49380.311864
4-0.185026-1.28190.103018
5-0.003617-0.02510.490055
60.1102920.76410.224266
7-0.003145-0.02180.491354
80.0142860.0990.460784
9-0.014167-0.09810.461111
10-0.040058-0.27750.391283
110.0322520.22340.412067
12-0.20879-1.44650.077263
13-0.118234-0.81920.208374
140.1178430.81640.20914
15-0.246373-1.70690.047149
160.0676940.4690.320598
170.0650850.45090.327038
180.0244930.16970.432983
19-0.00329-0.02280.490953
200.0012510.00870.496561
21-0.0011-0.00760.496975
22-0.018744-0.12990.448609
230.1361750.94340.175089
24-0.218209-1.51180.068571
25-0.122479-0.84860.20017
26-0.162084-1.12290.133522
27-0.0392-0.27160.393554
28-0.007263-0.05030.480039
290.0388830.26940.394393
30-0.102378-0.70930.240785
31-0.022615-0.15670.438078
320.0013220.00920.496365
330.024630.17060.432611
34-0.002873-0.01990.4921
35-0.031868-0.22080.413098
36-0.07424-0.51440.304683
37-0.047314-0.32780.372244
380.0124820.08650.465724
39-0.099858-0.69180.246187
400.0655490.45410.325889
41-0.003987-0.02760.48904
42-0.024695-0.17110.432434
430.0178930.1240.45093
44-0.056871-0.3940.347658
45-0.025353-0.17560.430654
46-0.039661-0.27480.392332
470.048440.33560.369317
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/13/t1229172789g1twj3bsqmzfoz3/1z4021229172742.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229172789g1twj3bsqmzfoz3/1z4021229172742.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229172789g1twj3bsqmzfoz3/2ik0r1229172742.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229172789g1twj3bsqmzfoz3/2ik0r1229172742.ps (open in new window)


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