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auto corr inv

*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: Fri, 19 Dec 2008 04:23:02 -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/19/t122968584821hensa92rs548z.htm/, Retrieved Fri, 19 Dec 2008 12:24:10 +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/19/t122968584821hensa92rs548z.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 «
93.0 99.2 112.2 112.1 103.3 108.2 90.4 72.8 111.0 117.9 111.3 110.5 94.8 100.4 132.1 114.6 101.9 130.2 84.0 86.4 122.3 120.9 110.2 112.6 102.0 105.0 130.5 115.5 103.7 130.9 89.1 93.8 123.8 111.9 118.3 116.9 103.6 116.6 141.3 107.0 125.2 136.4 91.6 95.3 132.3 130.6 131.9 118.6 114.3 111.3 126.5 112.1 119.3 142.4 101.1 97.4 129.1 136.9 129.8 123.9
 
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
1-0.532691-3.65190.000326
2-0.083357-0.57150.285203
30.3108832.13130.019162
4-0.225653-1.5470.064285
5-0.083328-0.57130.285269
60.2082221.42750.080023
7-0.148339-1.0170.15719
80.133280.91370.182764
9-0.081171-0.55650.290262
10-0.049042-0.33620.369103
110.2087971.43140.079461
12-0.256965-1.76170.042315
130.0639920.43870.331441
140.0686420.47060.320056
15-0.032658-0.22390.411907
16-0.140365-0.96230.170413
170.2895591.98510.026492
18-0.150103-1.02910.154361
19-0.088373-0.60590.273762
200.0658420.45140.326893
210.1434950.98370.165138
22-0.285231-1.95540.028245
230.2319471.59020.059253
24-0.023051-0.1580.437554
25-0.117609-0.80630.21207
260.1209910.82950.205515
27-0.066911-0.45870.324276
280.0367040.25160.401212
290.0329430.22580.411149
30-0.126452-0.86690.195198
310.1192650.81760.208845
320.0400630.27470.392391
33-0.208352-1.42840.079896
340.2426881.66380.051405
35-0.124199-0.85150.199415
36-0.064598-0.44290.329949
370.1199720.82250.207477
38-0.064107-0.43950.331159
39-0.040997-0.28110.389949
400.1201480.82370.207137
41-0.079008-0.54170.295309
42-0.01283-0.0880.465142
430.0570580.39120.348719
44-0.053309-0.36550.3582
450.0248290.17020.432783
46-0.00062-0.00430.498312
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.532691-3.65190.000326
2-0.51256-3.51390.000494
3-0.055516-0.38060.352609
4-0.080441-0.55150.29196
5-0.264713-1.81480.037971
6-0.175127-1.20060.117959
7-0.193086-1.32370.095998
80.110150.75510.226964
9-0.019858-0.13610.446147
10-0.140492-0.96320.170198
110.1356540.930.178563
12-0.026316-0.18040.428801
13-0.060571-0.41530.339923
14-0.236563-1.62180.055769
15-0.009207-0.06310.47497
16-0.273697-1.87640.03341
17-0.025418-0.17430.431205
180.011860.08130.467772
19-0.122759-0.84160.202138
20-0.267738-1.83550.03638
210.0594810.40780.342644
22-0.123954-0.84980.199875
230.0018520.01270.494961
24-0.080224-0.550.292467
25-0.099024-0.67890.250274
26-0.042264-0.28970.386642
27-0.0634-0.43460.332904
28-0.059786-0.40990.34188
290.0217830.14930.440965
30-0.044966-0.30830.379618
31-0.006203-0.04250.483129
32-0.001848-0.01270.494973
330.0718730.49270.312246
340.0105790.07250.471245
35-0.000622-0.00430.498309
36-0.011295-0.07740.469303
370.061720.42310.337065
38-0.144436-0.99020.163573
39-0.087807-0.6020.275042
40-0.037379-0.25630.399434
410.0885210.60690.27343
42-0.089301-0.61220.271672
430.0253160.17360.43148
44-0.011204-0.07680.469551
450.0690720.47350.319011
460.0081150.05560.477934
47NANANA
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/19/t122968584821hensa92rs548z/12eh21229685780.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/19/t122968584821hensa92rs548z/12eh21229685780.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/19/t122968584821hensa92rs548z/2c5qg1229685780.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/19/t122968584821hensa92rs548z/2c5qg1229685780.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; 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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