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R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Sat, 06 Dec 2008 07:51:55 -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/06/t1228575207sgg1n4w2xegjlfe.htm/, Retrieved Sat, 06 Dec 2008 14:53:29 +0000
 
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/06/t1228575207sgg1n4w2xegjlfe.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},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
kleuter
 
Dataseries X:
» Textbox « » Textfile « » CSV «
104,3 119,8 116,8 118,2 107,4 110,8 94,8 96,5 113,4 109,8 118,7 117,2 110,3 111,6 128,1 121,3 107,3 120,5 98,5 97,7 113,2 114,6 118,3 123,9 113,6 117,5 130,1 124,7 114,2 127,3 105,9 101,5 120,2 117,1 131,1 130 120,6 123,1 135,3 134,1 123,7 134,6 108,3 110,4 127,8 126,6 131,4 141,1 127 127,3 143,6 149,4 126,6 136,5 116 118 131,4 140,7 144,9 143,9 127,1
 
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
1-0.167532-1.17270.123287
2-0.056633-0.39640.346754
30.1445491.01180.158291
40.1400950.98070.165787
5-0.120154-0.84110.202196
60.167541.17280.123277
70.2915672.0410.02333
8-0.091863-0.6430.261598
90.0237660.16640.434279
10-0.034984-0.24490.403784
110.2175151.52260.067143
12-0.1845-1.29150.101294
130.0946610.66260.255337
140.022530.15770.437668
15-0.016231-0.11360.455003
16-0.083966-0.58780.279695
170.0079990.0560.477789
18-0.009558-0.06690.473466
19-0.112629-0.78840.21713
200.0606730.42470.336452
21-0.19498-1.36490.089266
220.0624330.4370.332004
23-0.025689-0.17980.429017
24-0.050007-0.35010.363901
25-0.115113-0.80580.212129
260.0203720.14260.443594
27-0.037517-0.26260.396972
28-0.052081-0.36460.358503
29-0.008532-0.05970.476309
30-0.040749-0.28520.388331
31-0.100848-0.70590.241786
32-0.175809-1.23070.112162
330.1704761.19330.119242
34-0.005598-0.03920.48445
35-0.149307-1.04510.150542
36-0.023523-0.16470.434943
370.0438640.30710.380053
38-0.166738-1.16720.124396
39-0.016657-0.11660.453826
400.1764211.23490.11137
41-0.014079-0.09860.460948
42-0.128135-0.89690.187066
430.0633980.44380.329575
44-0.035418-0.24790.402614
45-0.09832-0.68820.247274
460.0281550.19710.422287
470.0892880.6250.267429
48-0.008156-0.05710.477351
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.167532-1.17270.123287
2-0.087146-0.610.272333
30.1240310.86820.194753
40.1916191.34130.092998
5-0.048416-0.33890.368062
60.1439231.00750.159332
70.3246132.27230.013747
80.0479340.33550.369327
90.0319810.22390.411897
10-0.186273-1.30390.099178
110.1471871.03030.153962
12-0.142119-0.99480.162352
13-0.053053-0.37140.355982
14-0.11176-0.78230.218895
15-0.046655-0.32660.372686
16-0.025195-0.17640.430366
17-0.068382-0.47870.31715
18-0.092144-0.6450.260965
19-0.038315-0.26820.394834
200.034620.24230.404764
21-0.155117-1.08580.141436
22-0.002198-0.01540.493893
230.1043040.73010.234395
240.0132590.09280.463216
25-0.029859-0.2090.417653
26-0.032796-0.22960.40969
270.060630.42440.336562
280.0923750.64660.260445
29-0.057589-0.40310.344305
30-0.051354-0.35950.36039
31-0.151639-1.06150.146839
32-0.143404-1.00380.160197
330.057030.39920.345736
340.0471410.330.371409
35-0.1-0.70.243619
36-0.055813-0.39070.348859
370.0032420.02270.490993
38-0.019507-0.13650.445974
390.0042630.02980.488156
400.087230.61060.272139
410.1322930.92610.179479
42-0.00982-0.06870.472737
430.0860250.60220.274916
44-0.105807-0.74060.23122
45-0.067567-0.4730.319168
46-0.069163-0.48410.315222
47-0.072778-0.50940.306364
48-0.036924-0.25850.398565
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/06/t1228575207sgg1n4w2xegjlfe/1bysy1228575113.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/06/t1228575207sgg1n4w2xegjlfe/1bysy1228575113.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/06/t1228575207sgg1n4w2xegjlfe/22t8f1228575113.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/06/t1228575207sgg1n4w2xegjlfe/22t8f1228575113.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = -0.1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = -0.1 ; par3 = 0 ; 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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