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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, 01 Dec 2011 08:18:49 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/01/t13227455452q5ha4bu9wih1ly.htm/, Retrieved Thu, 28 Mar 2024 13:45:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149504, Retrieved Thu, 28 Mar 2024 13:45:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop9: ACF] [2011-12-01 13:18:49] [9431a512beb885c6943db1a049152d0e] [Current]
- R PD    [(Partial) Autocorrelation Function] [Workshop 9: ACF d=1] [2011-12-01 13:23:51] [09e53a95f5780167f20e6b4304200573]
-   P       [(Partial) Autocorrelation Function] [Workshop 9: ACF D=1] [2011-12-01 13:27:55] [09e53a95f5780167f20e6b4304200573]
-   P         [(Partial) Autocorrelation Function] [Workshop 9: ACF d...] [2011-12-01 13:29:58] [09e53a95f5780167f20e6b4304200573]
- RMPD        [Spectral Analysis] [Workshop9: Spectr...] [2011-12-01 13:36:20] [09e53a95f5780167f20e6b4304200573]
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Dataseries X:
117541,78
116587
116809
122819,55
116955
117186
117265
117536
117781
117928
120437,52
121753,21
119369,88
118622
118885
124998,3
119369
119647
119879
120075
120295
120538
123250,68
124631,03
122443,31
121532
121844
128241,75
122391
122644
122927
122909
123417
123756
126540,18
128088,74
125874,28
124817
124961
131499,9
125639
125851
125970
126322
126540
126733
129557,34
131179,77
128754,8
127890
127996
134790,6
128585
128851
129142
129334
129536
129944
132842,76
134447,96
132088,81
130902
131374
138243
131885
131839
132002
132005
132127
132116
134993,94
136459,55




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149504&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149504&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149504&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' @ jenkins.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8327877.06640
20.7625886.47080
30.7436926.31040
40.7682146.51850
50.7184346.09610
60.6489015.50610
70.6557355.56410
80.6394545.42590
90.5351864.54121.1e-05
100.4907784.16444.3e-05
110.4910994.16714.2e-05
120.5690444.82854e-06
130.4183983.55020.000341
140.3493372.96420.002056
150.3238492.7480.003787
160.3392852.87890.002625
170.2923532.48070.007725
180.2304491.95540.027207
190.2326331.9740.026112
200.2161531.83410.035384
210.1240211.05240.148078
220.0860910.73050.233726
230.0854690.72520.235331
240.149041.26460.105038
250.026610.22580.411
26-0.030933-0.26250.396853
27-0.050723-0.43040.334094
28-0.035086-0.29770.383388
29-0.070866-0.60130.274759
30-0.117222-0.99470.161617
31-0.114376-0.97050.167521
32-0.126269-1.07140.143778
33-0.20072-1.70320.046425
34-0.227527-1.93060.028734
35-0.222629-1.88910.031455
36-0.168529-1.430.078519
37-0.257577-2.18560.016049
38-0.298475-2.53260.00675
39-0.309165-2.62340.005311
40-0.286779-2.43340.008721
41-0.305507-2.59230.005769
42-0.332336-2.820.0031
43-0.32248-2.73630.00391
44-0.321667-2.72940.003984
45-0.375382-3.18520.001069
46-0.38609-3.27610.00081
47-0.371019-3.14820.001195
48-0.321794-2.73050.003973
49-0.37421-3.17530.001102
50-0.393435-3.33840.000668
51-0.388803-3.29910.000755
52-0.35635-3.02370.001729
53-0.356763-3.02720.001712
54-0.35946-3.05010.0016
55-0.339241-2.87860.002628
56-0.324849-2.75640.003699
57-0.352597-2.99190.001898
58-0.343266-2.91270.002384
59-0.31381-2.66280.004777
60-0.265719-2.25470.013597

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.832787 & 7.0664 & 0 \tabularnewline
2 & 0.762588 & 6.4708 & 0 \tabularnewline
3 & 0.743692 & 6.3104 & 0 \tabularnewline
4 & 0.768214 & 6.5185 & 0 \tabularnewline
5 & 0.718434 & 6.0961 & 0 \tabularnewline
6 & 0.648901 & 5.5061 & 0 \tabularnewline
7 & 0.655735 & 5.5641 & 0 \tabularnewline
8 & 0.639454 & 5.4259 & 0 \tabularnewline
9 & 0.535186 & 4.5412 & 1.1e-05 \tabularnewline
10 & 0.490778 & 4.1644 & 4.3e-05 \tabularnewline
11 & 0.491099 & 4.1671 & 4.2e-05 \tabularnewline
12 & 0.569044 & 4.8285 & 4e-06 \tabularnewline
13 & 0.418398 & 3.5502 & 0.000341 \tabularnewline
14 & 0.349337 & 2.9642 & 0.002056 \tabularnewline
15 & 0.323849 & 2.748 & 0.003787 \tabularnewline
16 & 0.339285 & 2.8789 & 0.002625 \tabularnewline
17 & 0.292353 & 2.4807 & 0.007725 \tabularnewline
18 & 0.230449 & 1.9554 & 0.027207 \tabularnewline
19 & 0.232633 & 1.974 & 0.026112 \tabularnewline
20 & 0.216153 & 1.8341 & 0.035384 \tabularnewline
21 & 0.124021 & 1.0524 & 0.148078 \tabularnewline
22 & 0.086091 & 0.7305 & 0.233726 \tabularnewline
23 & 0.085469 & 0.7252 & 0.235331 \tabularnewline
24 & 0.14904 & 1.2646 & 0.105038 \tabularnewline
25 & 0.02661 & 0.2258 & 0.411 \tabularnewline
26 & -0.030933 & -0.2625 & 0.396853 \tabularnewline
27 & -0.050723 & -0.4304 & 0.334094 \tabularnewline
28 & -0.035086 & -0.2977 & 0.383388 \tabularnewline
29 & -0.070866 & -0.6013 & 0.274759 \tabularnewline
30 & -0.117222 & -0.9947 & 0.161617 \tabularnewline
31 & -0.114376 & -0.9705 & 0.167521 \tabularnewline
32 & -0.126269 & -1.0714 & 0.143778 \tabularnewline
33 & -0.20072 & -1.7032 & 0.046425 \tabularnewline
34 & -0.227527 & -1.9306 & 0.028734 \tabularnewline
35 & -0.222629 & -1.8891 & 0.031455 \tabularnewline
36 & -0.168529 & -1.43 & 0.078519 \tabularnewline
37 & -0.257577 & -2.1856 & 0.016049 \tabularnewline
38 & -0.298475 & -2.5326 & 0.00675 \tabularnewline
39 & -0.309165 & -2.6234 & 0.005311 \tabularnewline
40 & -0.286779 & -2.4334 & 0.008721 \tabularnewline
41 & -0.305507 & -2.5923 & 0.005769 \tabularnewline
42 & -0.332336 & -2.82 & 0.0031 \tabularnewline
43 & -0.32248 & -2.7363 & 0.00391 \tabularnewline
44 & -0.321667 & -2.7294 & 0.003984 \tabularnewline
45 & -0.375382 & -3.1852 & 0.001069 \tabularnewline
46 & -0.38609 & -3.2761 & 0.00081 \tabularnewline
47 & -0.371019 & -3.1482 & 0.001195 \tabularnewline
48 & -0.321794 & -2.7305 & 0.003973 \tabularnewline
49 & -0.37421 & -3.1753 & 0.001102 \tabularnewline
50 & -0.393435 & -3.3384 & 0.000668 \tabularnewline
51 & -0.388803 & -3.2991 & 0.000755 \tabularnewline
52 & -0.35635 & -3.0237 & 0.001729 \tabularnewline
53 & -0.356763 & -3.0272 & 0.001712 \tabularnewline
54 & -0.35946 & -3.0501 & 0.0016 \tabularnewline
55 & -0.339241 & -2.8786 & 0.002628 \tabularnewline
56 & -0.324849 & -2.7564 & 0.003699 \tabularnewline
57 & -0.352597 & -2.9919 & 0.001898 \tabularnewline
58 & -0.343266 & -2.9127 & 0.002384 \tabularnewline
59 & -0.31381 & -2.6628 & 0.004777 \tabularnewline
60 & -0.265719 & -2.2547 & 0.013597 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149504&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]0.832787[/C][C]7.0664[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.762588[/C][C]6.4708[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.743692[/C][C]6.3104[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.768214[/C][C]6.5185[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.718434[/C][C]6.0961[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.648901[/C][C]5.5061[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.655735[/C][C]5.5641[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.639454[/C][C]5.4259[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.535186[/C][C]4.5412[/C][C]1.1e-05[/C][/ROW]
[ROW][C]10[/C][C]0.490778[/C][C]4.1644[/C][C]4.3e-05[/C][/ROW]
[ROW][C]11[/C][C]0.491099[/C][C]4.1671[/C][C]4.2e-05[/C][/ROW]
[ROW][C]12[/C][C]0.569044[/C][C]4.8285[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]0.418398[/C][C]3.5502[/C][C]0.000341[/C][/ROW]
[ROW][C]14[/C][C]0.349337[/C][C]2.9642[/C][C]0.002056[/C][/ROW]
[ROW][C]15[/C][C]0.323849[/C][C]2.748[/C][C]0.003787[/C][/ROW]
[ROW][C]16[/C][C]0.339285[/C][C]2.8789[/C][C]0.002625[/C][/ROW]
[ROW][C]17[/C][C]0.292353[/C][C]2.4807[/C][C]0.007725[/C][/ROW]
[ROW][C]18[/C][C]0.230449[/C][C]1.9554[/C][C]0.027207[/C][/ROW]
[ROW][C]19[/C][C]0.232633[/C][C]1.974[/C][C]0.026112[/C][/ROW]
[ROW][C]20[/C][C]0.216153[/C][C]1.8341[/C][C]0.035384[/C][/ROW]
[ROW][C]21[/C][C]0.124021[/C][C]1.0524[/C][C]0.148078[/C][/ROW]
[ROW][C]22[/C][C]0.086091[/C][C]0.7305[/C][C]0.233726[/C][/ROW]
[ROW][C]23[/C][C]0.085469[/C][C]0.7252[/C][C]0.235331[/C][/ROW]
[ROW][C]24[/C][C]0.14904[/C][C]1.2646[/C][C]0.105038[/C][/ROW]
[ROW][C]25[/C][C]0.02661[/C][C]0.2258[/C][C]0.411[/C][/ROW]
[ROW][C]26[/C][C]-0.030933[/C][C]-0.2625[/C][C]0.396853[/C][/ROW]
[ROW][C]27[/C][C]-0.050723[/C][C]-0.4304[/C][C]0.334094[/C][/ROW]
[ROW][C]28[/C][C]-0.035086[/C][C]-0.2977[/C][C]0.383388[/C][/ROW]
[ROW][C]29[/C][C]-0.070866[/C][C]-0.6013[/C][C]0.274759[/C][/ROW]
[ROW][C]30[/C][C]-0.117222[/C][C]-0.9947[/C][C]0.161617[/C][/ROW]
[ROW][C]31[/C][C]-0.114376[/C][C]-0.9705[/C][C]0.167521[/C][/ROW]
[ROW][C]32[/C][C]-0.126269[/C][C]-1.0714[/C][C]0.143778[/C][/ROW]
[ROW][C]33[/C][C]-0.20072[/C][C]-1.7032[/C][C]0.046425[/C][/ROW]
[ROW][C]34[/C][C]-0.227527[/C][C]-1.9306[/C][C]0.028734[/C][/ROW]
[ROW][C]35[/C][C]-0.222629[/C][C]-1.8891[/C][C]0.031455[/C][/ROW]
[ROW][C]36[/C][C]-0.168529[/C][C]-1.43[/C][C]0.078519[/C][/ROW]
[ROW][C]37[/C][C]-0.257577[/C][C]-2.1856[/C][C]0.016049[/C][/ROW]
[ROW][C]38[/C][C]-0.298475[/C][C]-2.5326[/C][C]0.00675[/C][/ROW]
[ROW][C]39[/C][C]-0.309165[/C][C]-2.6234[/C][C]0.005311[/C][/ROW]
[ROW][C]40[/C][C]-0.286779[/C][C]-2.4334[/C][C]0.008721[/C][/ROW]
[ROW][C]41[/C][C]-0.305507[/C][C]-2.5923[/C][C]0.005769[/C][/ROW]
[ROW][C]42[/C][C]-0.332336[/C][C]-2.82[/C][C]0.0031[/C][/ROW]
[ROW][C]43[/C][C]-0.32248[/C][C]-2.7363[/C][C]0.00391[/C][/ROW]
[ROW][C]44[/C][C]-0.321667[/C][C]-2.7294[/C][C]0.003984[/C][/ROW]
[ROW][C]45[/C][C]-0.375382[/C][C]-3.1852[/C][C]0.001069[/C][/ROW]
[ROW][C]46[/C][C]-0.38609[/C][C]-3.2761[/C][C]0.00081[/C][/ROW]
[ROW][C]47[/C][C]-0.371019[/C][C]-3.1482[/C][C]0.001195[/C][/ROW]
[ROW][C]48[/C][C]-0.321794[/C][C]-2.7305[/C][C]0.003973[/C][/ROW]
[ROW][C]49[/C][C]-0.37421[/C][C]-3.1753[/C][C]0.001102[/C][/ROW]
[ROW][C]50[/C][C]-0.393435[/C][C]-3.3384[/C][C]0.000668[/C][/ROW]
[ROW][C]51[/C][C]-0.388803[/C][C]-3.2991[/C][C]0.000755[/C][/ROW]
[ROW][C]52[/C][C]-0.35635[/C][C]-3.0237[/C][C]0.001729[/C][/ROW]
[ROW][C]53[/C][C]-0.356763[/C][C]-3.0272[/C][C]0.001712[/C][/ROW]
[ROW][C]54[/C][C]-0.35946[/C][C]-3.0501[/C][C]0.0016[/C][/ROW]
[ROW][C]55[/C][C]-0.339241[/C][C]-2.8786[/C][C]0.002628[/C][/ROW]
[ROW][C]56[/C][C]-0.324849[/C][C]-2.7564[/C][C]0.003699[/C][/ROW]
[ROW][C]57[/C][C]-0.352597[/C][C]-2.9919[/C][C]0.001898[/C][/ROW]
[ROW][C]58[/C][C]-0.343266[/C][C]-2.9127[/C][C]0.002384[/C][/ROW]
[ROW][C]59[/C][C]-0.31381[/C][C]-2.6628[/C][C]0.004777[/C][/ROW]
[ROW][C]60[/C][C]-0.265719[/C][C]-2.2547[/C][C]0.013597[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149504&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149504&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
10.8327877.06640
20.7625886.47080
30.7436926.31040
40.7682146.51850
50.7184346.09610
60.6489015.50610
70.6557355.56410
80.6394545.42590
90.5351864.54121.1e-05
100.4907784.16444.3e-05
110.4910994.16714.2e-05
120.5690444.82854e-06
130.4183983.55020.000341
140.3493372.96420.002056
150.3238492.7480.003787
160.3392852.87890.002625
170.2923532.48070.007725
180.2304491.95540.027207
190.2326331.9740.026112
200.2161531.83410.035384
210.1240211.05240.148078
220.0860910.73050.233726
230.0854690.72520.235331
240.149041.26460.105038
250.026610.22580.411
26-0.030933-0.26250.396853
27-0.050723-0.43040.334094
28-0.035086-0.29770.383388
29-0.070866-0.60130.274759
30-0.117222-0.99470.161617
31-0.114376-0.97050.167521
32-0.126269-1.07140.143778
33-0.20072-1.70320.046425
34-0.227527-1.93060.028734
35-0.222629-1.88910.031455
36-0.168529-1.430.078519
37-0.257577-2.18560.016049
38-0.298475-2.53260.00675
39-0.309165-2.62340.005311
40-0.286779-2.43340.008721
41-0.305507-2.59230.005769
42-0.332336-2.820.0031
43-0.32248-2.73630.00391
44-0.321667-2.72940.003984
45-0.375382-3.18520.001069
46-0.38609-3.27610.00081
47-0.371019-3.14820.001195
48-0.321794-2.73050.003973
49-0.37421-3.17530.001102
50-0.393435-3.33840.000668
51-0.388803-3.29910.000755
52-0.35635-3.02370.001729
53-0.356763-3.02720.001712
54-0.35946-3.05010.0016
55-0.339241-2.87860.002628
56-0.324849-2.75640.003699
57-0.352597-2.99190.001898
58-0.343266-2.91270.002384
59-0.31381-2.66280.004777
60-0.265719-2.25470.013597







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8327877.06640
20.2253231.91190.029933
30.2202411.86880.032859
40.2834032.40480.009378
5-0.042125-0.35740.360902
6-0.112038-0.95070.172476
70.1443511.22490.11231
8-0.038328-0.32520.372979
9-0.315401-2.67630.004606
100.0358320.3040.380984
110.062470.53010.298845
120.3558833.01980.001749
13-0.485354-4.11845e-05
14-0.025457-0.2160.414796
15-0.040167-0.34080.367112
160.0843310.71560.238286
170.0323020.27410.392398
18-0.023376-0.19830.421666
19-0.058917-0.49990.309325
20-0.041268-0.35020.363618
210.0148410.12590.450069
22-0.029053-0.24650.402991
230.0035220.02990.488121
240.0255790.2170.414395
25-0.121524-1.03120.152958
26-0.045162-0.38320.351346
27-0.019249-0.16330.435357
280.0013240.01120.495534
290.0063270.05370.478668
300.0006240.00530.497894
31-0.060831-0.51620.303658
32-0.038614-0.32770.372062
330.0103320.08770.465191
34-0.021246-0.18030.428721
35-0.01029-0.08730.465332
36-0.036905-0.31320.377535
37-0.008753-0.07430.4705
38-0.033306-0.28260.389144
39-0.014008-0.11890.452859
40-0.002989-0.02540.489918
41-0.002082-0.01770.492976
42-0.009552-0.08110.467812
43-0.03063-0.25990.397839
44-0.010404-0.08830.464951
45-0.03404-0.28880.386767
46-0.000829-0.0070.497204
47-0.016245-0.13780.445373
48-0.05133-0.43560.332233
490.0408450.34660.364958
500.0029650.02520.49
510.005450.04620.48162
52-0.005423-0.0460.481712
530.0002990.00250.498991
540.0037760.0320.487266
55-0.010616-0.09010.464236
56-0.009707-0.08240.467291
57-0.012862-0.10910.456699
580.0107110.09090.463918
590.0036610.03110.487651
60-0.031731-0.26920.394256

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.832787 & 7.0664 & 0 \tabularnewline
2 & 0.225323 & 1.9119 & 0.029933 \tabularnewline
3 & 0.220241 & 1.8688 & 0.032859 \tabularnewline
4 & 0.283403 & 2.4048 & 0.009378 \tabularnewline
5 & -0.042125 & -0.3574 & 0.360902 \tabularnewline
6 & -0.112038 & -0.9507 & 0.172476 \tabularnewline
7 & 0.144351 & 1.2249 & 0.11231 \tabularnewline
8 & -0.038328 & -0.3252 & 0.372979 \tabularnewline
9 & -0.315401 & -2.6763 & 0.004606 \tabularnewline
10 & 0.035832 & 0.304 & 0.380984 \tabularnewline
11 & 0.06247 & 0.5301 & 0.298845 \tabularnewline
12 & 0.355883 & 3.0198 & 0.001749 \tabularnewline
13 & -0.485354 & -4.1184 & 5e-05 \tabularnewline
14 & -0.025457 & -0.216 & 0.414796 \tabularnewline
15 & -0.040167 & -0.3408 & 0.367112 \tabularnewline
16 & 0.084331 & 0.7156 & 0.238286 \tabularnewline
17 & 0.032302 & 0.2741 & 0.392398 \tabularnewline
18 & -0.023376 & -0.1983 & 0.421666 \tabularnewline
19 & -0.058917 & -0.4999 & 0.309325 \tabularnewline
20 & -0.041268 & -0.3502 & 0.363618 \tabularnewline
21 & 0.014841 & 0.1259 & 0.450069 \tabularnewline
22 & -0.029053 & -0.2465 & 0.402991 \tabularnewline
23 & 0.003522 & 0.0299 & 0.488121 \tabularnewline
24 & 0.025579 & 0.217 & 0.414395 \tabularnewline
25 & -0.121524 & -1.0312 & 0.152958 \tabularnewline
26 & -0.045162 & -0.3832 & 0.351346 \tabularnewline
27 & -0.019249 & -0.1633 & 0.435357 \tabularnewline
28 & 0.001324 & 0.0112 & 0.495534 \tabularnewline
29 & 0.006327 & 0.0537 & 0.478668 \tabularnewline
30 & 0.000624 & 0.0053 & 0.497894 \tabularnewline
31 & -0.060831 & -0.5162 & 0.303658 \tabularnewline
32 & -0.038614 & -0.3277 & 0.372062 \tabularnewline
33 & 0.010332 & 0.0877 & 0.465191 \tabularnewline
34 & -0.021246 & -0.1803 & 0.428721 \tabularnewline
35 & -0.01029 & -0.0873 & 0.465332 \tabularnewline
36 & -0.036905 & -0.3132 & 0.377535 \tabularnewline
37 & -0.008753 & -0.0743 & 0.4705 \tabularnewline
38 & -0.033306 & -0.2826 & 0.389144 \tabularnewline
39 & -0.014008 & -0.1189 & 0.452859 \tabularnewline
40 & -0.002989 & -0.0254 & 0.489918 \tabularnewline
41 & -0.002082 & -0.0177 & 0.492976 \tabularnewline
42 & -0.009552 & -0.0811 & 0.467812 \tabularnewline
43 & -0.03063 & -0.2599 & 0.397839 \tabularnewline
44 & -0.010404 & -0.0883 & 0.464951 \tabularnewline
45 & -0.03404 & -0.2888 & 0.386767 \tabularnewline
46 & -0.000829 & -0.007 & 0.497204 \tabularnewline
47 & -0.016245 & -0.1378 & 0.445373 \tabularnewline
48 & -0.05133 & -0.4356 & 0.332233 \tabularnewline
49 & 0.040845 & 0.3466 & 0.364958 \tabularnewline
50 & 0.002965 & 0.0252 & 0.49 \tabularnewline
51 & 0.00545 & 0.0462 & 0.48162 \tabularnewline
52 & -0.005423 & -0.046 & 0.481712 \tabularnewline
53 & 0.000299 & 0.0025 & 0.498991 \tabularnewline
54 & 0.003776 & 0.032 & 0.487266 \tabularnewline
55 & -0.010616 & -0.0901 & 0.464236 \tabularnewline
56 & -0.009707 & -0.0824 & 0.467291 \tabularnewline
57 & -0.012862 & -0.1091 & 0.456699 \tabularnewline
58 & 0.010711 & 0.0909 & 0.463918 \tabularnewline
59 & 0.003661 & 0.0311 & 0.487651 \tabularnewline
60 & -0.031731 & -0.2692 & 0.394256 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149504&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]0.832787[/C][C]7.0664[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.225323[/C][C]1.9119[/C][C]0.029933[/C][/ROW]
[ROW][C]3[/C][C]0.220241[/C][C]1.8688[/C][C]0.032859[/C][/ROW]
[ROW][C]4[/C][C]0.283403[/C][C]2.4048[/C][C]0.009378[/C][/ROW]
[ROW][C]5[/C][C]-0.042125[/C][C]-0.3574[/C][C]0.360902[/C][/ROW]
[ROW][C]6[/C][C]-0.112038[/C][C]-0.9507[/C][C]0.172476[/C][/ROW]
[ROW][C]7[/C][C]0.144351[/C][C]1.2249[/C][C]0.11231[/C][/ROW]
[ROW][C]8[/C][C]-0.038328[/C][C]-0.3252[/C][C]0.372979[/C][/ROW]
[ROW][C]9[/C][C]-0.315401[/C][C]-2.6763[/C][C]0.004606[/C][/ROW]
[ROW][C]10[/C][C]0.035832[/C][C]0.304[/C][C]0.380984[/C][/ROW]
[ROW][C]11[/C][C]0.06247[/C][C]0.5301[/C][C]0.298845[/C][/ROW]
[ROW][C]12[/C][C]0.355883[/C][C]3.0198[/C][C]0.001749[/C][/ROW]
[ROW][C]13[/C][C]-0.485354[/C][C]-4.1184[/C][C]5e-05[/C][/ROW]
[ROW][C]14[/C][C]-0.025457[/C][C]-0.216[/C][C]0.414796[/C][/ROW]
[ROW][C]15[/C][C]-0.040167[/C][C]-0.3408[/C][C]0.367112[/C][/ROW]
[ROW][C]16[/C][C]0.084331[/C][C]0.7156[/C][C]0.238286[/C][/ROW]
[ROW][C]17[/C][C]0.032302[/C][C]0.2741[/C][C]0.392398[/C][/ROW]
[ROW][C]18[/C][C]-0.023376[/C][C]-0.1983[/C][C]0.421666[/C][/ROW]
[ROW][C]19[/C][C]-0.058917[/C][C]-0.4999[/C][C]0.309325[/C][/ROW]
[ROW][C]20[/C][C]-0.041268[/C][C]-0.3502[/C][C]0.363618[/C][/ROW]
[ROW][C]21[/C][C]0.014841[/C][C]0.1259[/C][C]0.450069[/C][/ROW]
[ROW][C]22[/C][C]-0.029053[/C][C]-0.2465[/C][C]0.402991[/C][/ROW]
[ROW][C]23[/C][C]0.003522[/C][C]0.0299[/C][C]0.488121[/C][/ROW]
[ROW][C]24[/C][C]0.025579[/C][C]0.217[/C][C]0.414395[/C][/ROW]
[ROW][C]25[/C][C]-0.121524[/C][C]-1.0312[/C][C]0.152958[/C][/ROW]
[ROW][C]26[/C][C]-0.045162[/C][C]-0.3832[/C][C]0.351346[/C][/ROW]
[ROW][C]27[/C][C]-0.019249[/C][C]-0.1633[/C][C]0.435357[/C][/ROW]
[ROW][C]28[/C][C]0.001324[/C][C]0.0112[/C][C]0.495534[/C][/ROW]
[ROW][C]29[/C][C]0.006327[/C][C]0.0537[/C][C]0.478668[/C][/ROW]
[ROW][C]30[/C][C]0.000624[/C][C]0.0053[/C][C]0.497894[/C][/ROW]
[ROW][C]31[/C][C]-0.060831[/C][C]-0.5162[/C][C]0.303658[/C][/ROW]
[ROW][C]32[/C][C]-0.038614[/C][C]-0.3277[/C][C]0.372062[/C][/ROW]
[ROW][C]33[/C][C]0.010332[/C][C]0.0877[/C][C]0.465191[/C][/ROW]
[ROW][C]34[/C][C]-0.021246[/C][C]-0.1803[/C][C]0.428721[/C][/ROW]
[ROW][C]35[/C][C]-0.01029[/C][C]-0.0873[/C][C]0.465332[/C][/ROW]
[ROW][C]36[/C][C]-0.036905[/C][C]-0.3132[/C][C]0.377535[/C][/ROW]
[ROW][C]37[/C][C]-0.008753[/C][C]-0.0743[/C][C]0.4705[/C][/ROW]
[ROW][C]38[/C][C]-0.033306[/C][C]-0.2826[/C][C]0.389144[/C][/ROW]
[ROW][C]39[/C][C]-0.014008[/C][C]-0.1189[/C][C]0.452859[/C][/ROW]
[ROW][C]40[/C][C]-0.002989[/C][C]-0.0254[/C][C]0.489918[/C][/ROW]
[ROW][C]41[/C][C]-0.002082[/C][C]-0.0177[/C][C]0.492976[/C][/ROW]
[ROW][C]42[/C][C]-0.009552[/C][C]-0.0811[/C][C]0.467812[/C][/ROW]
[ROW][C]43[/C][C]-0.03063[/C][C]-0.2599[/C][C]0.397839[/C][/ROW]
[ROW][C]44[/C][C]-0.010404[/C][C]-0.0883[/C][C]0.464951[/C][/ROW]
[ROW][C]45[/C][C]-0.03404[/C][C]-0.2888[/C][C]0.386767[/C][/ROW]
[ROW][C]46[/C][C]-0.000829[/C][C]-0.007[/C][C]0.497204[/C][/ROW]
[ROW][C]47[/C][C]-0.016245[/C][C]-0.1378[/C][C]0.445373[/C][/ROW]
[ROW][C]48[/C][C]-0.05133[/C][C]-0.4356[/C][C]0.332233[/C][/ROW]
[ROW][C]49[/C][C]0.040845[/C][C]0.3466[/C][C]0.364958[/C][/ROW]
[ROW][C]50[/C][C]0.002965[/C][C]0.0252[/C][C]0.49[/C][/ROW]
[ROW][C]51[/C][C]0.00545[/C][C]0.0462[/C][C]0.48162[/C][/ROW]
[ROW][C]52[/C][C]-0.005423[/C][C]-0.046[/C][C]0.481712[/C][/ROW]
[ROW][C]53[/C][C]0.000299[/C][C]0.0025[/C][C]0.498991[/C][/ROW]
[ROW][C]54[/C][C]0.003776[/C][C]0.032[/C][C]0.487266[/C][/ROW]
[ROW][C]55[/C][C]-0.010616[/C][C]-0.0901[/C][C]0.464236[/C][/ROW]
[ROW][C]56[/C][C]-0.009707[/C][C]-0.0824[/C][C]0.467291[/C][/ROW]
[ROW][C]57[/C][C]-0.012862[/C][C]-0.1091[/C][C]0.456699[/C][/ROW]
[ROW][C]58[/C][C]0.010711[/C][C]0.0909[/C][C]0.463918[/C][/ROW]
[ROW][C]59[/C][C]0.003661[/C][C]0.0311[/C][C]0.487651[/C][/ROW]
[ROW][C]60[/C][C]-0.031731[/C][C]-0.2692[/C][C]0.394256[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149504&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149504&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
10.8327877.06640
20.2253231.91190.029933
30.2202411.86880.032859
40.2834032.40480.009378
5-0.042125-0.35740.360902
6-0.112038-0.95070.172476
70.1443511.22490.11231
8-0.038328-0.32520.372979
9-0.315401-2.67630.004606
100.0358320.3040.380984
110.062470.53010.298845
120.3558833.01980.001749
13-0.485354-4.11845e-05
14-0.025457-0.2160.414796
15-0.040167-0.34080.367112
160.0843310.71560.238286
170.0323020.27410.392398
18-0.023376-0.19830.421666
19-0.058917-0.49990.309325
20-0.041268-0.35020.363618
210.0148410.12590.450069
22-0.029053-0.24650.402991
230.0035220.02990.488121
240.0255790.2170.414395
25-0.121524-1.03120.152958
26-0.045162-0.38320.351346
27-0.019249-0.16330.435357
280.0013240.01120.495534
290.0063270.05370.478668
300.0006240.00530.497894
31-0.060831-0.51620.303658
32-0.038614-0.32770.372062
330.0103320.08770.465191
34-0.021246-0.18030.428721
35-0.01029-0.08730.465332
36-0.036905-0.31320.377535
37-0.008753-0.07430.4705
38-0.033306-0.28260.389144
39-0.014008-0.11890.452859
40-0.002989-0.02540.489918
41-0.002082-0.01770.492976
42-0.009552-0.08110.467812
43-0.03063-0.25990.397839
44-0.010404-0.08830.464951
45-0.03404-0.28880.386767
46-0.000829-0.0070.497204
47-0.016245-0.13780.445373
48-0.05133-0.43560.332233
490.0408450.34660.364958
500.0029650.02520.49
510.005450.04620.48162
52-0.005423-0.0460.481712
530.0002990.00250.498991
540.0037760.0320.487266
55-0.010616-0.09010.464236
56-0.009707-0.08240.467291
57-0.012862-0.10910.456699
580.0107110.09090.463918
590.0036610.03110.487651
60-0.031731-0.26920.394256



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')