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Japan: d=1; D=0

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Wed, 17 Dec 2008 11:01:56 -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/17/t1229536939whr7qbesihtiii7.htm/, Retrieved Wed, 17 Dec 2008 19:02:21 +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/17/t1229536939whr7qbesihtiii7.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 «
122.36 123.33 123.04 124.53 125.13 125.85 126.50 126.53 127.07 124.55 124.90 124.32 122.84 123.31 123.31 124.87 124.64 124.73 124.90 124.04 123.28 123.86 122.29 124.09 124.54 125.65 125.70 125.53 125.61 125.55 125.41 127.60 124.68 124.41 126.43 126.38 125.78 124.70 125.07 125.25 126.58 127.13 125.82 123.70 124.39 123.70 124.42 121.05 121.02 123.23 121.32 120.91 120.72 123.31 119.58 119.53 120.59 118.63 118.47 111.81 114.71 117.34 115.77 118.38 117.84 118.83 120.02 116.21 117.08 120.20 119.83 118.92 118.03 117.71 119.55 116.13 115.97 115.99 114.96 116.46 116.55 113.05 117.44 118.84 117.06 117.54 119.31 118.72 121.55 122.61 121.53 123.31 124.07 123.59 122.97 123.22 123.04 122.96 122.81 122.81 122.62 120.82 119.41 121.56 121.59 118.50 118.77 118.86 117.60 119.90 121.83 121.84 122.12 122.12 121.36 119.66 119.32 120.36 117.06 117.48 115.60 113.86 116.92 117.75 117.75 115.31 116.28 115.22 115.65 115.11 118.67 118.04 116.50 119.78 119.95 120.37 119.79 119.43 121.06 121.74 121.09 122.97 120.50 117.18 115.03 113.36 112.59 111.65 111.98 114.87 114.67 114.09 114.77 117.05 117.22 113.18 110.95 112.14 112.72 110.01 110.29 110.74 110.32 105.89 108.97 109.34 106.57 99.49 101.81 104.29 109.73 105.06 107.97 108.13 109.86 108.95 111.20 110.69 106.10 105.68 104.12 104.71 104.30 103.52 107.76 107.80 107.30 108.64 105.03 108.30 107.21 109.27 109.50 111.68 111.80 111.75 106.68 106.37 105.76 109.01 109.01 109.01 109.01 107.69 105.19 105.48 102.22 100.54 105.00 105.44 107.89 108.64 106.70 109.10 105.23 108.41 108.80 110.39 110.22 110.86 108.58 107.70 106.62 109.84 107.16 107.26 108.70 109.85 109.41 112.36 111.03 110.67 109.21 113.58 113.88 114.08 112.33 113.92 114.41 114.57 115.35 113.13 113.29 112.56 113.06 113.46 115.39 116.62 117.04 117.42 115.62 115.16 115.69 112.85 114.05 112.00 113.74 116.26 118.63 116.49 118.23 116.83 118.82 114.36 112.02 113.24 109.75 110.33 112.86 113.04 113.80 110.90 109.96 108.69 108.84 108.47 108.07 107.94 108.11 108.11 106.81 105.58 105.61 106.52 103.86 104.60 104.73 105.12 104.76 103.85 103.83 103.22 101.64 102.13 104.33 104.92 107.78 104.49 102.80 102.86 104.51 104.73 102.58 99.93 101.41 101.05 99.86 101.11 100.89 101.09 98.31 98.08 99.55 99.62 97.37 98.16 97.98 98.15 97.10 97.24 96.70 96.64 100.65 96.75 97.74 97.92 98.34 93.84 97.80 96.20 95.99 95.18 95.95 92.23 91.78 92.97 89.76 92.88 96.23 95.79 93.97 93.90 93.60 93.96 88.69 88.57 85.62 86.25 85.33 83.33 77.78 78.70 72.05 80.75 81.41 82.65 75.85 75.70 78.25 77.41 76.84 74.25 74.95 68.78 73.21 73.26 78.67 75.63 74.99 83.87 79.62 80.13 79.76 78.20 78.05 79.05 73.32 75.17 73.26 73.72 73.57 70.60 71.25 74.22 73.32 73.01 74.21 75.32 71.73 71.94 72.94 72.47 71.94 74.30 74.30
 
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
10.98194919.51590
20.96862219.2510
30.95449818.97030
40.94188518.71960
50.92785918.44080
60.91407818.16690
70.90066117.90030
80.89002417.68890
90.87679717.4260
100.86527717.1970
110.85445416.98190
120.84155516.72560
130.82853916.46690
140.81422616.18240
150.80310415.96140
160.79197215.74010
170.77848315.4720
180.76572415.21850
190.75200914.94590
200.7405314.71770
210.72955714.49970
220.71694514.2490
230.70656114.04260
240.69562813.82530
250.68373613.5890
260.6728713.3730
270.65891913.09580
280.64456612.81050
290.63273512.57540
300.61747412.2720
310.60266211.97770
320.58492111.62510
330.57011611.33080
340.55753211.08070
350.54431810.81810
360.53178710.5690
370.51890810.31310
380.50653110.06710
390.4932599.80330
400.4824239.5880
410.4697079.33520
420.457329.08910
430.4410758.76620
440.427068.48770
450.4135538.21920
460.4023147.99580
470.3917727.78630
480.3802697.55770
490.3690487.33470
500.3579097.11330
510.3483836.9240
520.3408346.77390
530.3342486.6430
540.3260496.48010
550.3187116.33420
560.3125186.21120
570.3089846.14090
580.3031736.02540
590.2962075.8870
600.2902185.7680


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.98194919.51590
20.1229292.44320.007498
3-0.012109-0.24070.404972
40.0320710.63740.262116
5-0.035992-0.71530.237414
6-0.010066-0.20010.420767
70.0058380.1160.453844
80.0724141.43920.075444
9-0.058462-1.16190.122987
100.0253160.50310.307574
110.0296210.58870.278196
12-0.068834-1.3680.086038
13-0.01871-0.37180.355103
14-0.042984-0.85430.196733
150.0727091.44510.074616
160.0108390.21540.414775
17-0.065777-1.30730.095937
180.0034740.06910.472492
19-0.046004-0.91430.180558
200.0514781.02310.153441
210.0233330.46370.321548
22-0.040707-0.8090.209493
230.0442430.87930.189883
24-0.014805-0.29420.384363
25-0.025017-0.49720.309664
260.0055090.10950.456433
27-0.086947-1.7280.042381
28-0.044423-0.88290.188916
290.0687031.36540.086446
30-0.073526-1.46130.072364
31-0.042517-0.8450.199307
32-0.090407-1.79680.036566
330.0499410.99260.160768
340.0695331.38190.083887
35-0.002553-0.05070.479777
360.0103070.20490.418897
37-0.036177-0.7190.236279
380.0199290.39610.346133
39-0.04047-0.80430.210847
400.075231.49520.067834
41-0.057321-1.13920.127649
42-0.025267-0.50220.307913
43-0.063158-1.25520.105066
44-0.001961-0.0390.484466
450.0189790.37720.353113
460.0337690.67110.251262
470.0440540.87560.190901
48-0.005628-0.11180.4555
49-0.023024-0.45760.323751
50-0.029043-0.57720.282057
510.0454320.90290.183553
520.0624311.24080.107709
530.0608521.20940.113613
54-0.022638-0.44990.326508
55-0.007137-0.14180.44364
560.0448780.89190.186487
570.0735021.46080.07243
58-0.042916-0.85290.197107
59-0.035781-0.71110.238711
600.0008420.01670.493327
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229536939whr7qbesihtiii7/1slkm1229536914.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229536939whr7qbesihtiii7/1slkm1229536914.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229536939whr7qbesihtiii7/2bmew1229536914.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229536939whr7qbesihtiii7/2bmew1229536914.ps (open in new window)


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