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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 computationThu, 03 Dec 2009 08:24:08 -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/2009/Dec/03/t1259853907kn2c5uqt4csvp5y.htm/, Retrieved Thu, 28 Mar 2024 10:32:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62836, Retrieved Thu, 28 Mar 2024 10:32:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsRW8(10)
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-   PD        [(Partial) Autocorrelation Function] [W8] [2009-11-25 18:19:32] [315ba876df544ad397193b5931d5f354]
-    D          [(Partial) Autocorrelation Function] [ws8 1.1] [2009-11-27 16:22:27] [95cead3ebb75668735f848316249436a]
-   P             [(Partial) Autocorrelation Function] [ws8.2] [2009-11-27 16:33:59] [95cead3ebb75668735f848316249436a]
-   P                 [(Partial) Autocorrelation Function] [Workshop 8: Review] [2009-12-03 15:24:08] [af31b947d6acaef3c71f428c4bb503e9] [Current]
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Dataseries X:
2.05
2.11
2.09
2.05
2.08
2.06
2.06
2.08
2.07
2.06
2.07
2.06
2.09
2.07
2.09
2.28
2.33
2.35
2.52
2.63
2.58
2.70
2.81
2.97
3.04
3.28
3.33
3.50
3.56
3.57
3.69
3.82
3.79
3.96
4.06
4.05
4.03
3.94
4.02
3.88
4.02
4.03
4.09
3.99
4.01
4.01
4.19
4.30
4.27
3.82
3.15
2.49
1.81
1.26
1.06
0.84
0.78
0.70
0.36
0.35




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=62836&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=62836&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62836&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
10.753395.78690
20.6239584.79276e-06
30.42833.28980.000847
40.2629312.01960.023987
50.1605681.23330.111168
60.1774841.36330.088987
70.1442281.10780.136214
80.1458451.12030.133572
90.0826440.63480.264005
100.0316040.24280.404519
110.0126240.0970.461541
120.0197740.15190.439898
130.0687120.52780.299814
140.0483340.37130.355888
150.0713730.54820.292802
16-0.002191-0.01680.493315
17-0.024915-0.19140.424444
18-0.076178-0.58510.280343
19-0.05571-0.42790.335134
20-0.104913-0.80590.211782
21-0.061226-0.47030.319942
22-0.10727-0.8240.206641
23-0.08744-0.67160.252217
24-0.14804-1.13710.130043
25-0.179086-1.37560.087075
26-0.165151-1.26860.104792
27-0.202405-1.55470.062683
28-0.204367-1.56980.060908
29-0.143782-1.10440.13695
30-0.1535-1.17910.121555
31-0.159215-1.2230.113105
32-0.135475-1.04060.151152
33-0.159592-1.22580.112563
34-0.167389-1.28570.101778
35-0.172774-1.32710.094794
36-0.138671-1.06510.145574
37-0.130177-0.99990.160718
38-0.089499-0.68750.247246
39-0.073805-0.56690.286464
40-0.074101-0.56920.285697
41-0.043524-0.33430.369664
42-0.049277-0.37850.353207
43-0.065985-0.50680.307077
44-0.039239-0.30140.382084
45-0.035394-0.27190.393337
46-0.039934-0.30670.380062
47-0.030203-0.2320.408673
48-0.043557-0.33460.369568
49-0.041133-0.31590.376579
50-0.031357-0.24090.405251
51-0.036156-0.27770.391101
52-0.022915-0.1760.430442
53-0.008902-0.06840.472859
54-0.01425-0.10950.456606
550.0005590.00430.498293
56-0.003069-0.02360.490636
57-0.011243-0.08640.465736
580.0006840.00530.497913
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.75339 & 5.7869 & 0 \tabularnewline
2 & 0.623958 & 4.7927 & 6e-06 \tabularnewline
3 & 0.4283 & 3.2898 & 0.000847 \tabularnewline
4 & 0.262931 & 2.0196 & 0.023987 \tabularnewline
5 & 0.160568 & 1.2333 & 0.111168 \tabularnewline
6 & 0.177484 & 1.3633 & 0.088987 \tabularnewline
7 & 0.144228 & 1.1078 & 0.136214 \tabularnewline
8 & 0.145845 & 1.1203 & 0.133572 \tabularnewline
9 & 0.082644 & 0.6348 & 0.264005 \tabularnewline
10 & 0.031604 & 0.2428 & 0.404519 \tabularnewline
11 & 0.012624 & 0.097 & 0.461541 \tabularnewline
12 & 0.019774 & 0.1519 & 0.439898 \tabularnewline
13 & 0.068712 & 0.5278 & 0.299814 \tabularnewline
14 & 0.048334 & 0.3713 & 0.355888 \tabularnewline
15 & 0.071373 & 0.5482 & 0.292802 \tabularnewline
16 & -0.002191 & -0.0168 & 0.493315 \tabularnewline
17 & -0.024915 & -0.1914 & 0.424444 \tabularnewline
18 & -0.076178 & -0.5851 & 0.280343 \tabularnewline
19 & -0.05571 & -0.4279 & 0.335134 \tabularnewline
20 & -0.104913 & -0.8059 & 0.211782 \tabularnewline
21 & -0.061226 & -0.4703 & 0.319942 \tabularnewline
22 & -0.10727 & -0.824 & 0.206641 \tabularnewline
23 & -0.08744 & -0.6716 & 0.252217 \tabularnewline
24 & -0.14804 & -1.1371 & 0.130043 \tabularnewline
25 & -0.179086 & -1.3756 & 0.087075 \tabularnewline
26 & -0.165151 & -1.2686 & 0.104792 \tabularnewline
27 & -0.202405 & -1.5547 & 0.062683 \tabularnewline
28 & -0.204367 & -1.5698 & 0.060908 \tabularnewline
29 & -0.143782 & -1.1044 & 0.13695 \tabularnewline
30 & -0.1535 & -1.1791 & 0.121555 \tabularnewline
31 & -0.159215 & -1.223 & 0.113105 \tabularnewline
32 & -0.135475 & -1.0406 & 0.151152 \tabularnewline
33 & -0.159592 & -1.2258 & 0.112563 \tabularnewline
34 & -0.167389 & -1.2857 & 0.101778 \tabularnewline
35 & -0.172774 & -1.3271 & 0.094794 \tabularnewline
36 & -0.138671 & -1.0651 & 0.145574 \tabularnewline
37 & -0.130177 & -0.9999 & 0.160718 \tabularnewline
38 & -0.089499 & -0.6875 & 0.247246 \tabularnewline
39 & -0.073805 & -0.5669 & 0.286464 \tabularnewline
40 & -0.074101 & -0.5692 & 0.285697 \tabularnewline
41 & -0.043524 & -0.3343 & 0.369664 \tabularnewline
42 & -0.049277 & -0.3785 & 0.353207 \tabularnewline
43 & -0.065985 & -0.5068 & 0.307077 \tabularnewline
44 & -0.039239 & -0.3014 & 0.382084 \tabularnewline
45 & -0.035394 & -0.2719 & 0.393337 \tabularnewline
46 & -0.039934 & -0.3067 & 0.380062 \tabularnewline
47 & -0.030203 & -0.232 & 0.408673 \tabularnewline
48 & -0.043557 & -0.3346 & 0.369568 \tabularnewline
49 & -0.041133 & -0.3159 & 0.376579 \tabularnewline
50 & -0.031357 & -0.2409 & 0.405251 \tabularnewline
51 & -0.036156 & -0.2777 & 0.391101 \tabularnewline
52 & -0.022915 & -0.176 & 0.430442 \tabularnewline
53 & -0.008902 & -0.0684 & 0.472859 \tabularnewline
54 & -0.01425 & -0.1095 & 0.456606 \tabularnewline
55 & 0.000559 & 0.0043 & 0.498293 \tabularnewline
56 & -0.003069 & -0.0236 & 0.490636 \tabularnewline
57 & -0.011243 & -0.0864 & 0.465736 \tabularnewline
58 & 0.000684 & 0.0053 & 0.497913 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62836&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]0.75339[/C][C]5.7869[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.623958[/C][C]4.7927[/C][C]6e-06[/C][/ROW]
[ROW][C]3[/C][C]0.4283[/C][C]3.2898[/C][C]0.000847[/C][/ROW]
[ROW][C]4[/C][C]0.262931[/C][C]2.0196[/C][C]0.023987[/C][/ROW]
[ROW][C]5[/C][C]0.160568[/C][C]1.2333[/C][C]0.111168[/C][/ROW]
[ROW][C]6[/C][C]0.177484[/C][C]1.3633[/C][C]0.088987[/C][/ROW]
[ROW][C]7[/C][C]0.144228[/C][C]1.1078[/C][C]0.136214[/C][/ROW]
[ROW][C]8[/C][C]0.145845[/C][C]1.1203[/C][C]0.133572[/C][/ROW]
[ROW][C]9[/C][C]0.082644[/C][C]0.6348[/C][C]0.264005[/C][/ROW]
[ROW][C]10[/C][C]0.031604[/C][C]0.2428[/C][C]0.404519[/C][/ROW]
[ROW][C]11[/C][C]0.012624[/C][C]0.097[/C][C]0.461541[/C][/ROW]
[ROW][C]12[/C][C]0.019774[/C][C]0.1519[/C][C]0.439898[/C][/ROW]
[ROW][C]13[/C][C]0.068712[/C][C]0.5278[/C][C]0.299814[/C][/ROW]
[ROW][C]14[/C][C]0.048334[/C][C]0.3713[/C][C]0.355888[/C][/ROW]
[ROW][C]15[/C][C]0.071373[/C][C]0.5482[/C][C]0.292802[/C][/ROW]
[ROW][C]16[/C][C]-0.002191[/C][C]-0.0168[/C][C]0.493315[/C][/ROW]
[ROW][C]17[/C][C]-0.024915[/C][C]-0.1914[/C][C]0.424444[/C][/ROW]
[ROW][C]18[/C][C]-0.076178[/C][C]-0.5851[/C][C]0.280343[/C][/ROW]
[ROW][C]19[/C][C]-0.05571[/C][C]-0.4279[/C][C]0.335134[/C][/ROW]
[ROW][C]20[/C][C]-0.104913[/C][C]-0.8059[/C][C]0.211782[/C][/ROW]
[ROW][C]21[/C][C]-0.061226[/C][C]-0.4703[/C][C]0.319942[/C][/ROW]
[ROW][C]22[/C][C]-0.10727[/C][C]-0.824[/C][C]0.206641[/C][/ROW]
[ROW][C]23[/C][C]-0.08744[/C][C]-0.6716[/C][C]0.252217[/C][/ROW]
[ROW][C]24[/C][C]-0.14804[/C][C]-1.1371[/C][C]0.130043[/C][/ROW]
[ROW][C]25[/C][C]-0.179086[/C][C]-1.3756[/C][C]0.087075[/C][/ROW]
[ROW][C]26[/C][C]-0.165151[/C][C]-1.2686[/C][C]0.104792[/C][/ROW]
[ROW][C]27[/C][C]-0.202405[/C][C]-1.5547[/C][C]0.062683[/C][/ROW]
[ROW][C]28[/C][C]-0.204367[/C][C]-1.5698[/C][C]0.060908[/C][/ROW]
[ROW][C]29[/C][C]-0.143782[/C][C]-1.1044[/C][C]0.13695[/C][/ROW]
[ROW][C]30[/C][C]-0.1535[/C][C]-1.1791[/C][C]0.121555[/C][/ROW]
[ROW][C]31[/C][C]-0.159215[/C][C]-1.223[/C][C]0.113105[/C][/ROW]
[ROW][C]32[/C][C]-0.135475[/C][C]-1.0406[/C][C]0.151152[/C][/ROW]
[ROW][C]33[/C][C]-0.159592[/C][C]-1.2258[/C][C]0.112563[/C][/ROW]
[ROW][C]34[/C][C]-0.167389[/C][C]-1.2857[/C][C]0.101778[/C][/ROW]
[ROW][C]35[/C][C]-0.172774[/C][C]-1.3271[/C][C]0.094794[/C][/ROW]
[ROW][C]36[/C][C]-0.138671[/C][C]-1.0651[/C][C]0.145574[/C][/ROW]
[ROW][C]37[/C][C]-0.130177[/C][C]-0.9999[/C][C]0.160718[/C][/ROW]
[ROW][C]38[/C][C]-0.089499[/C][C]-0.6875[/C][C]0.247246[/C][/ROW]
[ROW][C]39[/C][C]-0.073805[/C][C]-0.5669[/C][C]0.286464[/C][/ROW]
[ROW][C]40[/C][C]-0.074101[/C][C]-0.5692[/C][C]0.285697[/C][/ROW]
[ROW][C]41[/C][C]-0.043524[/C][C]-0.3343[/C][C]0.369664[/C][/ROW]
[ROW][C]42[/C][C]-0.049277[/C][C]-0.3785[/C][C]0.353207[/C][/ROW]
[ROW][C]43[/C][C]-0.065985[/C][C]-0.5068[/C][C]0.307077[/C][/ROW]
[ROW][C]44[/C][C]-0.039239[/C][C]-0.3014[/C][C]0.382084[/C][/ROW]
[ROW][C]45[/C][C]-0.035394[/C][C]-0.2719[/C][C]0.393337[/C][/ROW]
[ROW][C]46[/C][C]-0.039934[/C][C]-0.3067[/C][C]0.380062[/C][/ROW]
[ROW][C]47[/C][C]-0.030203[/C][C]-0.232[/C][C]0.408673[/C][/ROW]
[ROW][C]48[/C][C]-0.043557[/C][C]-0.3346[/C][C]0.369568[/C][/ROW]
[ROW][C]49[/C][C]-0.041133[/C][C]-0.3159[/C][C]0.376579[/C][/ROW]
[ROW][C]50[/C][C]-0.031357[/C][C]-0.2409[/C][C]0.405251[/C][/ROW]
[ROW][C]51[/C][C]-0.036156[/C][C]-0.2777[/C][C]0.391101[/C][/ROW]
[ROW][C]52[/C][C]-0.022915[/C][C]-0.176[/C][C]0.430442[/C][/ROW]
[ROW][C]53[/C][C]-0.008902[/C][C]-0.0684[/C][C]0.472859[/C][/ROW]
[ROW][C]54[/C][C]-0.01425[/C][C]-0.1095[/C][C]0.456606[/C][/ROW]
[ROW][C]55[/C][C]0.000559[/C][C]0.0043[/C][C]0.498293[/C][/ROW]
[ROW][C]56[/C][C]-0.003069[/C][C]-0.0236[/C][C]0.490636[/C][/ROW]
[ROW][C]57[/C][C]-0.011243[/C][C]-0.0864[/C][C]0.465736[/C][/ROW]
[ROW][C]58[/C][C]0.000684[/C][C]0.0053[/C][C]0.497913[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62836&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62836&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
10.753395.78690
20.6239584.79276e-06
30.42833.28980.000847
40.2629312.01960.023987
50.1605681.23330.111168
60.1774841.36330.088987
70.1442281.10780.136214
80.1458451.12030.133572
90.0826440.63480.264005
100.0316040.24280.404519
110.0126240.0970.461541
120.0197740.15190.439898
130.0687120.52780.299814
140.0483340.37130.355888
150.0713730.54820.292802
16-0.002191-0.01680.493315
17-0.024915-0.19140.424444
18-0.076178-0.58510.280343
19-0.05571-0.42790.335134
20-0.104913-0.80590.211782
21-0.061226-0.47030.319942
22-0.10727-0.8240.206641
23-0.08744-0.67160.252217
24-0.14804-1.13710.130043
25-0.179086-1.37560.087075
26-0.165151-1.26860.104792
27-0.202405-1.55470.062683
28-0.204367-1.56980.060908
29-0.143782-1.10440.13695
30-0.1535-1.17910.121555
31-0.159215-1.2230.113105
32-0.135475-1.04060.151152
33-0.159592-1.22580.112563
34-0.167389-1.28570.101778
35-0.172774-1.32710.094794
36-0.138671-1.06510.145574
37-0.130177-0.99990.160718
38-0.089499-0.68750.247246
39-0.073805-0.56690.286464
40-0.074101-0.56920.285697
41-0.043524-0.33430.369664
42-0.049277-0.37850.353207
43-0.065985-0.50680.307077
44-0.039239-0.30140.382084
45-0.035394-0.27190.393337
46-0.039934-0.30670.380062
47-0.030203-0.2320.408673
48-0.043557-0.33460.369568
49-0.041133-0.31590.376579
50-0.031357-0.24090.405251
51-0.036156-0.27770.391101
52-0.022915-0.1760.430442
53-0.008902-0.06840.472859
54-0.01425-0.10950.456606
550.0005590.00430.498293
56-0.003069-0.02360.490636
57-0.011243-0.08640.465736
580.0006840.00530.497913
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.753395.78690
20.1303441.00120.160412
3-0.185176-1.42240.080093
4-0.110957-0.85230.198753
50.0486130.37340.355094
60.2506011.92490.029533
7-0.058404-0.44860.327677
8-0.066292-0.50920.306256
9-0.134193-1.03080.153431
100.0055610.04270.483036
110.1420151.09080.139889
120.0591150.45410.325721
130.0615450.47270.319074
14-0.221434-1.70090.047117
150.0453070.3480.364535
16-0.078459-0.60270.274523
170.0947590.72790.234791
18-0.03818-0.29330.385173
190.0016390.01260.494998
20-0.165517-1.27140.104294
210.0504970.38790.349751
22-0.013524-0.10390.458809
230.0780210.59930.275637
24-0.154293-1.18520.120355
25-0.165532-1.27150.104275
260.134321.03170.153205
27-0.105508-0.81040.210477
280.0284840.21880.413784
290.1042740.80090.213189
30-0.135212-1.03860.151618
31-0.097545-0.74930.228339
32-0.007012-0.05390.478613
330.1162160.89270.18783
34-0.115137-0.88440.19004
35-0.017531-0.13470.446671
36-0.019646-0.15090.440283
370.0391570.30080.382323
380.0052050.040.484122
390.0460140.35340.36251
40-0.071938-0.55260.291323
410.0467830.35930.360309
42-0.100538-0.77220.221526
430.0002490.00190.499242
440.0479220.36810.35706
45-0.015426-0.11850.453042
460.0112640.08650.465674
47-0.096934-0.74460.229746
48-0.029001-0.22280.412245
490.0401050.3080.379565
500.063410.48710.314011
51-0.050289-0.38630.350342
52-0.139332-1.07020.144437
530.0695660.53430.297555
54-0.015171-0.11650.453813
550.0440580.33840.368126
56-0.036144-0.27760.391134
57-0.014488-0.11130.455884
58-0.079824-0.61310.27107
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.75339 & 5.7869 & 0 \tabularnewline
2 & 0.130344 & 1.0012 & 0.160412 \tabularnewline
3 & -0.185176 & -1.4224 & 0.080093 \tabularnewline
4 & -0.110957 & -0.8523 & 0.198753 \tabularnewline
5 & 0.048613 & 0.3734 & 0.355094 \tabularnewline
6 & 0.250601 & 1.9249 & 0.029533 \tabularnewline
7 & -0.058404 & -0.4486 & 0.327677 \tabularnewline
8 & -0.066292 & -0.5092 & 0.306256 \tabularnewline
9 & -0.134193 & -1.0308 & 0.153431 \tabularnewline
10 & 0.005561 & 0.0427 & 0.483036 \tabularnewline
11 & 0.142015 & 1.0908 & 0.139889 \tabularnewline
12 & 0.059115 & 0.4541 & 0.325721 \tabularnewline
13 & 0.061545 & 0.4727 & 0.319074 \tabularnewline
14 & -0.221434 & -1.7009 & 0.047117 \tabularnewline
15 & 0.045307 & 0.348 & 0.364535 \tabularnewline
16 & -0.078459 & -0.6027 & 0.274523 \tabularnewline
17 & 0.094759 & 0.7279 & 0.234791 \tabularnewline
18 & -0.03818 & -0.2933 & 0.385173 \tabularnewline
19 & 0.001639 & 0.0126 & 0.494998 \tabularnewline
20 & -0.165517 & -1.2714 & 0.104294 \tabularnewline
21 & 0.050497 & 0.3879 & 0.349751 \tabularnewline
22 & -0.013524 & -0.1039 & 0.458809 \tabularnewline
23 & 0.078021 & 0.5993 & 0.275637 \tabularnewline
24 & -0.154293 & -1.1852 & 0.120355 \tabularnewline
25 & -0.165532 & -1.2715 & 0.104275 \tabularnewline
26 & 0.13432 & 1.0317 & 0.153205 \tabularnewline
27 & -0.105508 & -0.8104 & 0.210477 \tabularnewline
28 & 0.028484 & 0.2188 & 0.413784 \tabularnewline
29 & 0.104274 & 0.8009 & 0.213189 \tabularnewline
30 & -0.135212 & -1.0386 & 0.151618 \tabularnewline
31 & -0.097545 & -0.7493 & 0.228339 \tabularnewline
32 & -0.007012 & -0.0539 & 0.478613 \tabularnewline
33 & 0.116216 & 0.8927 & 0.18783 \tabularnewline
34 & -0.115137 & -0.8844 & 0.19004 \tabularnewline
35 & -0.017531 & -0.1347 & 0.446671 \tabularnewline
36 & -0.019646 & -0.1509 & 0.440283 \tabularnewline
37 & 0.039157 & 0.3008 & 0.382323 \tabularnewline
38 & 0.005205 & 0.04 & 0.484122 \tabularnewline
39 & 0.046014 & 0.3534 & 0.36251 \tabularnewline
40 & -0.071938 & -0.5526 & 0.291323 \tabularnewline
41 & 0.046783 & 0.3593 & 0.360309 \tabularnewline
42 & -0.100538 & -0.7722 & 0.221526 \tabularnewline
43 & 0.000249 & 0.0019 & 0.499242 \tabularnewline
44 & 0.047922 & 0.3681 & 0.35706 \tabularnewline
45 & -0.015426 & -0.1185 & 0.453042 \tabularnewline
46 & 0.011264 & 0.0865 & 0.465674 \tabularnewline
47 & -0.096934 & -0.7446 & 0.229746 \tabularnewline
48 & -0.029001 & -0.2228 & 0.412245 \tabularnewline
49 & 0.040105 & 0.308 & 0.379565 \tabularnewline
50 & 0.06341 & 0.4871 & 0.314011 \tabularnewline
51 & -0.050289 & -0.3863 & 0.350342 \tabularnewline
52 & -0.139332 & -1.0702 & 0.144437 \tabularnewline
53 & 0.069566 & 0.5343 & 0.297555 \tabularnewline
54 & -0.015171 & -0.1165 & 0.453813 \tabularnewline
55 & 0.044058 & 0.3384 & 0.368126 \tabularnewline
56 & -0.036144 & -0.2776 & 0.391134 \tabularnewline
57 & -0.014488 & -0.1113 & 0.455884 \tabularnewline
58 & -0.079824 & -0.6131 & 0.27107 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62836&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]0.75339[/C][C]5.7869[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.130344[/C][C]1.0012[/C][C]0.160412[/C][/ROW]
[ROW][C]3[/C][C]-0.185176[/C][C]-1.4224[/C][C]0.080093[/C][/ROW]
[ROW][C]4[/C][C]-0.110957[/C][C]-0.8523[/C][C]0.198753[/C][/ROW]
[ROW][C]5[/C][C]0.048613[/C][C]0.3734[/C][C]0.355094[/C][/ROW]
[ROW][C]6[/C][C]0.250601[/C][C]1.9249[/C][C]0.029533[/C][/ROW]
[ROW][C]7[/C][C]-0.058404[/C][C]-0.4486[/C][C]0.327677[/C][/ROW]
[ROW][C]8[/C][C]-0.066292[/C][C]-0.5092[/C][C]0.306256[/C][/ROW]
[ROW][C]9[/C][C]-0.134193[/C][C]-1.0308[/C][C]0.153431[/C][/ROW]
[ROW][C]10[/C][C]0.005561[/C][C]0.0427[/C][C]0.483036[/C][/ROW]
[ROW][C]11[/C][C]0.142015[/C][C]1.0908[/C][C]0.139889[/C][/ROW]
[ROW][C]12[/C][C]0.059115[/C][C]0.4541[/C][C]0.325721[/C][/ROW]
[ROW][C]13[/C][C]0.061545[/C][C]0.4727[/C][C]0.319074[/C][/ROW]
[ROW][C]14[/C][C]-0.221434[/C][C]-1.7009[/C][C]0.047117[/C][/ROW]
[ROW][C]15[/C][C]0.045307[/C][C]0.348[/C][C]0.364535[/C][/ROW]
[ROW][C]16[/C][C]-0.078459[/C][C]-0.6027[/C][C]0.274523[/C][/ROW]
[ROW][C]17[/C][C]0.094759[/C][C]0.7279[/C][C]0.234791[/C][/ROW]
[ROW][C]18[/C][C]-0.03818[/C][C]-0.2933[/C][C]0.385173[/C][/ROW]
[ROW][C]19[/C][C]0.001639[/C][C]0.0126[/C][C]0.494998[/C][/ROW]
[ROW][C]20[/C][C]-0.165517[/C][C]-1.2714[/C][C]0.104294[/C][/ROW]
[ROW][C]21[/C][C]0.050497[/C][C]0.3879[/C][C]0.349751[/C][/ROW]
[ROW][C]22[/C][C]-0.013524[/C][C]-0.1039[/C][C]0.458809[/C][/ROW]
[ROW][C]23[/C][C]0.078021[/C][C]0.5993[/C][C]0.275637[/C][/ROW]
[ROW][C]24[/C][C]-0.154293[/C][C]-1.1852[/C][C]0.120355[/C][/ROW]
[ROW][C]25[/C][C]-0.165532[/C][C]-1.2715[/C][C]0.104275[/C][/ROW]
[ROW][C]26[/C][C]0.13432[/C][C]1.0317[/C][C]0.153205[/C][/ROW]
[ROW][C]27[/C][C]-0.105508[/C][C]-0.8104[/C][C]0.210477[/C][/ROW]
[ROW][C]28[/C][C]0.028484[/C][C]0.2188[/C][C]0.413784[/C][/ROW]
[ROW][C]29[/C][C]0.104274[/C][C]0.8009[/C][C]0.213189[/C][/ROW]
[ROW][C]30[/C][C]-0.135212[/C][C]-1.0386[/C][C]0.151618[/C][/ROW]
[ROW][C]31[/C][C]-0.097545[/C][C]-0.7493[/C][C]0.228339[/C][/ROW]
[ROW][C]32[/C][C]-0.007012[/C][C]-0.0539[/C][C]0.478613[/C][/ROW]
[ROW][C]33[/C][C]0.116216[/C][C]0.8927[/C][C]0.18783[/C][/ROW]
[ROW][C]34[/C][C]-0.115137[/C][C]-0.8844[/C][C]0.19004[/C][/ROW]
[ROW][C]35[/C][C]-0.017531[/C][C]-0.1347[/C][C]0.446671[/C][/ROW]
[ROW][C]36[/C][C]-0.019646[/C][C]-0.1509[/C][C]0.440283[/C][/ROW]
[ROW][C]37[/C][C]0.039157[/C][C]0.3008[/C][C]0.382323[/C][/ROW]
[ROW][C]38[/C][C]0.005205[/C][C]0.04[/C][C]0.484122[/C][/ROW]
[ROW][C]39[/C][C]0.046014[/C][C]0.3534[/C][C]0.36251[/C][/ROW]
[ROW][C]40[/C][C]-0.071938[/C][C]-0.5526[/C][C]0.291323[/C][/ROW]
[ROW][C]41[/C][C]0.046783[/C][C]0.3593[/C][C]0.360309[/C][/ROW]
[ROW][C]42[/C][C]-0.100538[/C][C]-0.7722[/C][C]0.221526[/C][/ROW]
[ROW][C]43[/C][C]0.000249[/C][C]0.0019[/C][C]0.499242[/C][/ROW]
[ROW][C]44[/C][C]0.047922[/C][C]0.3681[/C][C]0.35706[/C][/ROW]
[ROW][C]45[/C][C]-0.015426[/C][C]-0.1185[/C][C]0.453042[/C][/ROW]
[ROW][C]46[/C][C]0.011264[/C][C]0.0865[/C][C]0.465674[/C][/ROW]
[ROW][C]47[/C][C]-0.096934[/C][C]-0.7446[/C][C]0.229746[/C][/ROW]
[ROW][C]48[/C][C]-0.029001[/C][C]-0.2228[/C][C]0.412245[/C][/ROW]
[ROW][C]49[/C][C]0.040105[/C][C]0.308[/C][C]0.379565[/C][/ROW]
[ROW][C]50[/C][C]0.06341[/C][C]0.4871[/C][C]0.314011[/C][/ROW]
[ROW][C]51[/C][C]-0.050289[/C][C]-0.3863[/C][C]0.350342[/C][/ROW]
[ROW][C]52[/C][C]-0.139332[/C][C]-1.0702[/C][C]0.144437[/C][/ROW]
[ROW][C]53[/C][C]0.069566[/C][C]0.5343[/C][C]0.297555[/C][/ROW]
[ROW][C]54[/C][C]-0.015171[/C][C]-0.1165[/C][C]0.453813[/C][/ROW]
[ROW][C]55[/C][C]0.044058[/C][C]0.3384[/C][C]0.368126[/C][/ROW]
[ROW][C]56[/C][C]-0.036144[/C][C]-0.2776[/C][C]0.391134[/C][/ROW]
[ROW][C]57[/C][C]-0.014488[/C][C]-0.1113[/C][C]0.455884[/C][/ROW]
[ROW][C]58[/C][C]-0.079824[/C][C]-0.6131[/C][C]0.27107[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62836&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62836&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
10.753395.78690
20.1303441.00120.160412
3-0.185176-1.42240.080093
4-0.110957-0.85230.198753
50.0486130.37340.355094
60.2506011.92490.029533
7-0.058404-0.44860.327677
8-0.066292-0.50920.306256
9-0.134193-1.03080.153431
100.0055610.04270.483036
110.1420151.09080.139889
120.0591150.45410.325721
130.0615450.47270.319074
14-0.221434-1.70090.047117
150.0453070.3480.364535
16-0.078459-0.60270.274523
170.0947590.72790.234791
18-0.03818-0.29330.385173
190.0016390.01260.494998
20-0.165517-1.27140.104294
210.0504970.38790.349751
22-0.013524-0.10390.458809
230.0780210.59930.275637
24-0.154293-1.18520.120355
25-0.165532-1.27150.104275
260.134321.03170.153205
27-0.105508-0.81040.210477
280.0284840.21880.413784
290.1042740.80090.213189
30-0.135212-1.03860.151618
31-0.097545-0.74930.228339
32-0.007012-0.05390.478613
330.1162160.89270.18783
34-0.115137-0.88440.19004
35-0.017531-0.13470.446671
36-0.019646-0.15090.440283
370.0391570.30080.382323
380.0052050.040.484122
390.0460140.35340.36251
40-0.071938-0.55260.291323
410.0467830.35930.360309
42-0.100538-0.77220.221526
430.0002490.00190.499242
440.0479220.36810.35706
45-0.015426-0.11850.453042
460.0112640.08650.465674
47-0.096934-0.74460.229746
48-0.029001-0.22280.412245
490.0401050.3080.379565
500.063410.48710.314011
51-0.050289-0.38630.350342
52-0.139332-1.07020.144437
530.0695660.53430.297555
54-0.015171-0.11650.453813
550.0440580.33840.368126
56-0.036144-0.27760.391134
57-0.014488-0.11130.455884
58-0.079824-0.61310.27107
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')