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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 06 Dec 2008 06:45:25 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/06/t1228571213lf4s4bif7t4balz.htm/, Retrieved Thu, 31 Oct 2024 23:01:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29601, Retrieved Thu, 31 Oct 2024 23:01:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie En...] [2008-12-06 13:45:25] [6912578025c824de531bc660dd61b996] [Current]
-   PD    [(Partial) Autocorrelation Function] [Autocorrelation E...] [2008-12-06 13:59:00] [4300be8b33fd3dcdacd2aa9800ceba23]
-   PD    [(Partial) Autocorrelation Function] [Autocorreltie Ene...] [2008-12-06 14:11:42] [4300be8b33fd3dcdacd2aa9800ceba23]
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Dataseries X:
109
109
109,2
113,3
112,3
112,3
116,3
118,3
119,4
119,4
119,4
120,1
121,7
123,7
123,7
128,5
127,1
122,6
119,8
122,7
123,4
123,8
121,8
121,2
121,2
121,2
121,2
129,6
131
131
129,8
129,8
134,9
131,2
127,1
130,5
130,5
131,7
131,7
131,7
131,7
128,7
125
124,5
123
122,8
123,1
124,8
126,9
131,7
136,8
143,7
150,1
152,7
152,6
150,5
154,9
158
158,1
160,6
160,6




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29601&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29601&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29601&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

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
10.9079717.09150
20.7996746.24570
30.6950815.42881e-06
40.5912184.61761e-05
50.4884893.81520.00016
60.3924473.06510.00162
70.2984842.33120.011531
80.2087641.63050.054074
90.121190.94650.173808
100.0568520.4440.329298
110.0227980.17810.429632
120.0105140.08210.467411
130.0099670.07780.469103
140.016770.1310.448113
150.0340550.2660.395576
160.0701190.54760.292966
170.100670.78630.217379

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.907971 & 7.0915 & 0 \tabularnewline
2 & 0.799674 & 6.2457 & 0 \tabularnewline
3 & 0.695081 & 5.4288 & 1e-06 \tabularnewline
4 & 0.591218 & 4.6176 & 1e-05 \tabularnewline
5 & 0.488489 & 3.8152 & 0.00016 \tabularnewline
6 & 0.392447 & 3.0651 & 0.00162 \tabularnewline
7 & 0.298484 & 2.3312 & 0.011531 \tabularnewline
8 & 0.208764 & 1.6305 & 0.054074 \tabularnewline
9 & 0.12119 & 0.9465 & 0.173808 \tabularnewline
10 & 0.056852 & 0.444 & 0.329298 \tabularnewline
11 & 0.022798 & 0.1781 & 0.429632 \tabularnewline
12 & 0.010514 & 0.0821 & 0.467411 \tabularnewline
13 & 0.009967 & 0.0778 & 0.469103 \tabularnewline
14 & 0.01677 & 0.131 & 0.448113 \tabularnewline
15 & 0.034055 & 0.266 & 0.395576 \tabularnewline
16 & 0.070119 & 0.5476 & 0.292966 \tabularnewline
17 & 0.10067 & 0.7863 & 0.217379 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29601&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.907971[/C][C]7.0915[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.799674[/C][C]6.2457[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.695081[/C][C]5.4288[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.591218[/C][C]4.6176[/C][C]1e-05[/C][/ROW]
[ROW][C]5[/C][C]0.488489[/C][C]3.8152[/C][C]0.00016[/C][/ROW]
[ROW][C]6[/C][C]0.392447[/C][C]3.0651[/C][C]0.00162[/C][/ROW]
[ROW][C]7[/C][C]0.298484[/C][C]2.3312[/C][C]0.011531[/C][/ROW]
[ROW][C]8[/C][C]0.208764[/C][C]1.6305[/C][C]0.054074[/C][/ROW]
[ROW][C]9[/C][C]0.12119[/C][C]0.9465[/C][C]0.173808[/C][/ROW]
[ROW][C]10[/C][C]0.056852[/C][C]0.444[/C][C]0.329298[/C][/ROW]
[ROW][C]11[/C][C]0.022798[/C][C]0.1781[/C][C]0.429632[/C][/ROW]
[ROW][C]12[/C][C]0.010514[/C][C]0.0821[/C][C]0.467411[/C][/ROW]
[ROW][C]13[/C][C]0.009967[/C][C]0.0778[/C][C]0.469103[/C][/ROW]
[ROW][C]14[/C][C]0.01677[/C][C]0.131[/C][C]0.448113[/C][/ROW]
[ROW][C]15[/C][C]0.034055[/C][C]0.266[/C][C]0.395576[/C][/ROW]
[ROW][C]16[/C][C]0.070119[/C][C]0.5476[/C][C]0.292966[/C][/ROW]
[ROW][C]17[/C][C]0.10067[/C][C]0.7863[/C][C]0.217379[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29601&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29601&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9079717.09150
20.7996746.24570
30.6950815.42881e-06
40.5912184.61761e-05
50.4884893.81520.00016
60.3924473.06510.00162
70.2984842.33120.011531
80.2087641.63050.054074
90.121190.94650.173808
100.0568520.4440.329298
110.0227980.17810.429632
120.0105140.08210.467411
130.0099670.07780.469103
140.016770.1310.448113
150.0340550.2660.395576
160.0701190.54760.292966
170.100670.78630.217379







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9079717.09150
2-0.140887-1.10040.13775
3-0.031226-0.24390.40407
4-0.061677-0.48170.315867
5-0.058477-0.45670.324746
6-0.030901-0.24130.405049
7-0.063133-0.49310.311862
8-0.047599-0.37180.35568
9-0.065973-0.51530.304114
100.0580710.45360.325881
110.0920560.7190.23745
120.0604030.47180.319389
130.0248170.19380.423479
140.0110790.08650.465664
150.0439870.34360.366182
160.1002290.78280.218383
17-0.035293-0.27560.391875

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.907971 & 7.0915 & 0 \tabularnewline
2 & -0.140887 & -1.1004 & 0.13775 \tabularnewline
3 & -0.031226 & -0.2439 & 0.40407 \tabularnewline
4 & -0.061677 & -0.4817 & 0.315867 \tabularnewline
5 & -0.058477 & -0.4567 & 0.324746 \tabularnewline
6 & -0.030901 & -0.2413 & 0.405049 \tabularnewline
7 & -0.063133 & -0.4931 & 0.311862 \tabularnewline
8 & -0.047599 & -0.3718 & 0.35568 \tabularnewline
9 & -0.065973 & -0.5153 & 0.304114 \tabularnewline
10 & 0.058071 & 0.4536 & 0.325881 \tabularnewline
11 & 0.092056 & 0.719 & 0.23745 \tabularnewline
12 & 0.060403 & 0.4718 & 0.319389 \tabularnewline
13 & 0.024817 & 0.1938 & 0.423479 \tabularnewline
14 & 0.011079 & 0.0865 & 0.465664 \tabularnewline
15 & 0.043987 & 0.3436 & 0.366182 \tabularnewline
16 & 0.100229 & 0.7828 & 0.218383 \tabularnewline
17 & -0.035293 & -0.2756 & 0.391875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29601&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.907971[/C][C]7.0915[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.140887[/C][C]-1.1004[/C][C]0.13775[/C][/ROW]
[ROW][C]3[/C][C]-0.031226[/C][C]-0.2439[/C][C]0.40407[/C][/ROW]
[ROW][C]4[/C][C]-0.061677[/C][C]-0.4817[/C][C]0.315867[/C][/ROW]
[ROW][C]5[/C][C]-0.058477[/C][C]-0.4567[/C][C]0.324746[/C][/ROW]
[ROW][C]6[/C][C]-0.030901[/C][C]-0.2413[/C][C]0.405049[/C][/ROW]
[ROW][C]7[/C][C]-0.063133[/C][C]-0.4931[/C][C]0.311862[/C][/ROW]
[ROW][C]8[/C][C]-0.047599[/C][C]-0.3718[/C][C]0.35568[/C][/ROW]
[ROW][C]9[/C][C]-0.065973[/C][C]-0.5153[/C][C]0.304114[/C][/ROW]
[ROW][C]10[/C][C]0.058071[/C][C]0.4536[/C][C]0.325881[/C][/ROW]
[ROW][C]11[/C][C]0.092056[/C][C]0.719[/C][C]0.23745[/C][/ROW]
[ROW][C]12[/C][C]0.060403[/C][C]0.4718[/C][C]0.319389[/C][/ROW]
[ROW][C]13[/C][C]0.024817[/C][C]0.1938[/C][C]0.423479[/C][/ROW]
[ROW][C]14[/C][C]0.011079[/C][C]0.0865[/C][C]0.465664[/C][/ROW]
[ROW][C]15[/C][C]0.043987[/C][C]0.3436[/C][C]0.366182[/C][/ROW]
[ROW][C]16[/C][C]0.100229[/C][C]0.7828[/C][C]0.218383[/C][/ROW]
[ROW][C]17[/C][C]-0.035293[/C][C]-0.2756[/C][C]0.391875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29601&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29601&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9079717.09150
2-0.140887-1.10040.13775
3-0.031226-0.24390.40407
4-0.061677-0.48170.315867
5-0.058477-0.45670.324746
6-0.030901-0.24130.405049
7-0.063133-0.49310.311862
8-0.047599-0.37180.35568
9-0.065973-0.51530.304114
100.0580710.45360.325881
110.0920560.7190.23745
120.0604030.47180.319389
130.0248170.19380.423479
140.0110790.08650.465664
150.0439870.34360.366182
160.1002290.78280.218383
17-0.035293-0.27560.391875



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