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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 01:31:56 -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/17/t122950274529v2x6vfikpyem5.htm/, Retrieved Sun, 19 May 2024 05:54:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34274, Retrieved Sun, 19 May 2024 05:54:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [Spectral zonder diff] [2008-12-10 13:17:25] [74be16979710d4c4e7c6647856088456]
- RMP     [(Partial) Autocorrelation Function] [] [2008-12-17 08:31:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P       [(Partial) Autocorrelation Function] [] [2008-12-17 08:41:55] [74be16979710d4c4e7c6647856088456]
-   P       [(Partial) Autocorrelation Function] [] [2008-12-17 09:01:08] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
6.4
6.8
7.5
7.5
7.6
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9




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=34274&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=34274&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34274&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
10.3639963.33610.000633
2-0.134596-1.23360.110397
3-0.424546-3.8911e-04
4-0.377078-3.4560.000431
5-0.038335-0.35130.363105
60.2575082.36010.010294
70.1305071.19610.117508
8-0.114331-1.04790.148854
9-0.182115-1.66910.049409
10-0.086801-0.79550.21427
110.1747941.6020.056454
120.5248334.81023e-06
130.1583181.4510.075251
14-0.082306-0.75430.226375
15-0.245782-2.25260.013445
16-0.193219-1.77090.040104
17-0.026135-0.23950.405637
180.1544561.41560.080293
190.0589090.53990.295345
20-0.07791-0.71410.238587
21-0.113283-1.03830.151065
22-0.017894-0.1640.435061
230.09160.83950.201778
240.3012842.76130.003534
250.0653070.59860.275541
26-0.058885-0.53970.29542
27-0.163218-1.49590.069212
28-0.10674-0.97830.165371
29-0.022498-0.20620.418568
300.02630.2410.405055
310.0271770.24910.401953
32-0.034779-0.31880.375351
330.0102530.0940.462677
340.025460.23330.40803
350.0023550.02160.491417
360.122041.11850.133268
37-0.054869-0.50290.308181
38-0.054874-0.50290.308166
39-0.057837-0.53010.298727
400.0413180.37870.35294
410.0951360.87190.192864
420.0751240.68850.246511
43-0.040282-0.36920.356457
44-0.188546-1.72810.043826
45-0.118261-1.08390.140759
46-0.071017-0.65090.258449
470.0319030.29240.385354
480.1926351.76550.040554
490.0713270.65370.257538
50-0.018303-0.16770.433592
51-0.036985-0.3390.367736
52-0.034629-0.31740.375871
53-0.02253-0.20650.418454
540.0260440.23870.405962
55-0.038124-0.34940.363827
56-0.090696-0.83120.204096
57-0.027942-0.25610.399253
58-0.054455-0.49910.309512
59-0.030536-0.27990.390134
600.0887010.8130.20927

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.363996 & 3.3361 & 0.000633 \tabularnewline
2 & -0.134596 & -1.2336 & 0.110397 \tabularnewline
3 & -0.424546 & -3.891 & 1e-04 \tabularnewline
4 & -0.377078 & -3.456 & 0.000431 \tabularnewline
5 & -0.038335 & -0.3513 & 0.363105 \tabularnewline
6 & 0.257508 & 2.3601 & 0.010294 \tabularnewline
7 & 0.130507 & 1.1961 & 0.117508 \tabularnewline
8 & -0.114331 & -1.0479 & 0.148854 \tabularnewline
9 & -0.182115 & -1.6691 & 0.049409 \tabularnewline
10 & -0.086801 & -0.7955 & 0.21427 \tabularnewline
11 & 0.174794 & 1.602 & 0.056454 \tabularnewline
12 & 0.524833 & 4.8102 & 3e-06 \tabularnewline
13 & 0.158318 & 1.451 & 0.075251 \tabularnewline
14 & -0.082306 & -0.7543 & 0.226375 \tabularnewline
15 & -0.245782 & -2.2526 & 0.013445 \tabularnewline
16 & -0.193219 & -1.7709 & 0.040104 \tabularnewline
17 & -0.026135 & -0.2395 & 0.405637 \tabularnewline
18 & 0.154456 & 1.4156 & 0.080293 \tabularnewline
19 & 0.058909 & 0.5399 & 0.295345 \tabularnewline
20 & -0.07791 & -0.7141 & 0.238587 \tabularnewline
21 & -0.113283 & -1.0383 & 0.151065 \tabularnewline
22 & -0.017894 & -0.164 & 0.435061 \tabularnewline
23 & 0.0916 & 0.8395 & 0.201778 \tabularnewline
24 & 0.301284 & 2.7613 & 0.003534 \tabularnewline
25 & 0.065307 & 0.5986 & 0.275541 \tabularnewline
26 & -0.058885 & -0.5397 & 0.29542 \tabularnewline
27 & -0.163218 & -1.4959 & 0.069212 \tabularnewline
28 & -0.10674 & -0.9783 & 0.165371 \tabularnewline
29 & -0.022498 & -0.2062 & 0.418568 \tabularnewline
30 & 0.0263 & 0.241 & 0.405055 \tabularnewline
31 & 0.027177 & 0.2491 & 0.401953 \tabularnewline
32 & -0.034779 & -0.3188 & 0.375351 \tabularnewline
33 & 0.010253 & 0.094 & 0.462677 \tabularnewline
34 & 0.02546 & 0.2333 & 0.40803 \tabularnewline
35 & 0.002355 & 0.0216 & 0.491417 \tabularnewline
36 & 0.12204 & 1.1185 & 0.133268 \tabularnewline
37 & -0.054869 & -0.5029 & 0.308181 \tabularnewline
38 & -0.054874 & -0.5029 & 0.308166 \tabularnewline
39 & -0.057837 & -0.5301 & 0.298727 \tabularnewline
40 & 0.041318 & 0.3787 & 0.35294 \tabularnewline
41 & 0.095136 & 0.8719 & 0.192864 \tabularnewline
42 & 0.075124 & 0.6885 & 0.246511 \tabularnewline
43 & -0.040282 & -0.3692 & 0.356457 \tabularnewline
44 & -0.188546 & -1.7281 & 0.043826 \tabularnewline
45 & -0.118261 & -1.0839 & 0.140759 \tabularnewline
46 & -0.071017 & -0.6509 & 0.258449 \tabularnewline
47 & 0.031903 & 0.2924 & 0.385354 \tabularnewline
48 & 0.192635 & 1.7655 & 0.040554 \tabularnewline
49 & 0.071327 & 0.6537 & 0.257538 \tabularnewline
50 & -0.018303 & -0.1677 & 0.433592 \tabularnewline
51 & -0.036985 & -0.339 & 0.367736 \tabularnewline
52 & -0.034629 & -0.3174 & 0.375871 \tabularnewline
53 & -0.02253 & -0.2065 & 0.418454 \tabularnewline
54 & 0.026044 & 0.2387 & 0.405962 \tabularnewline
55 & -0.038124 & -0.3494 & 0.363827 \tabularnewline
56 & -0.090696 & -0.8312 & 0.204096 \tabularnewline
57 & -0.027942 & -0.2561 & 0.399253 \tabularnewline
58 & -0.054455 & -0.4991 & 0.309512 \tabularnewline
59 & -0.030536 & -0.2799 & 0.390134 \tabularnewline
60 & 0.088701 & 0.813 & 0.20927 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34274&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]0.363996[/C][C]3.3361[/C][C]0.000633[/C][/ROW]
[ROW][C]2[/C][C]-0.134596[/C][C]-1.2336[/C][C]0.110397[/C][/ROW]
[ROW][C]3[/C][C]-0.424546[/C][C]-3.891[/C][C]1e-04[/C][/ROW]
[ROW][C]4[/C][C]-0.377078[/C][C]-3.456[/C][C]0.000431[/C][/ROW]
[ROW][C]5[/C][C]-0.038335[/C][C]-0.3513[/C][C]0.363105[/C][/ROW]
[ROW][C]6[/C][C]0.257508[/C][C]2.3601[/C][C]0.010294[/C][/ROW]
[ROW][C]7[/C][C]0.130507[/C][C]1.1961[/C][C]0.117508[/C][/ROW]
[ROW][C]8[/C][C]-0.114331[/C][C]-1.0479[/C][C]0.148854[/C][/ROW]
[ROW][C]9[/C][C]-0.182115[/C][C]-1.6691[/C][C]0.049409[/C][/ROW]
[ROW][C]10[/C][C]-0.086801[/C][C]-0.7955[/C][C]0.21427[/C][/ROW]
[ROW][C]11[/C][C]0.174794[/C][C]1.602[/C][C]0.056454[/C][/ROW]
[ROW][C]12[/C][C]0.524833[/C][C]4.8102[/C][C]3e-06[/C][/ROW]
[ROW][C]13[/C][C]0.158318[/C][C]1.451[/C][C]0.075251[/C][/ROW]
[ROW][C]14[/C][C]-0.082306[/C][C]-0.7543[/C][C]0.226375[/C][/ROW]
[ROW][C]15[/C][C]-0.245782[/C][C]-2.2526[/C][C]0.013445[/C][/ROW]
[ROW][C]16[/C][C]-0.193219[/C][C]-1.7709[/C][C]0.040104[/C][/ROW]
[ROW][C]17[/C][C]-0.026135[/C][C]-0.2395[/C][C]0.405637[/C][/ROW]
[ROW][C]18[/C][C]0.154456[/C][C]1.4156[/C][C]0.080293[/C][/ROW]
[ROW][C]19[/C][C]0.058909[/C][C]0.5399[/C][C]0.295345[/C][/ROW]
[ROW][C]20[/C][C]-0.07791[/C][C]-0.7141[/C][C]0.238587[/C][/ROW]
[ROW][C]21[/C][C]-0.113283[/C][C]-1.0383[/C][C]0.151065[/C][/ROW]
[ROW][C]22[/C][C]-0.017894[/C][C]-0.164[/C][C]0.435061[/C][/ROW]
[ROW][C]23[/C][C]0.0916[/C][C]0.8395[/C][C]0.201778[/C][/ROW]
[ROW][C]24[/C][C]0.301284[/C][C]2.7613[/C][C]0.003534[/C][/ROW]
[ROW][C]25[/C][C]0.065307[/C][C]0.5986[/C][C]0.275541[/C][/ROW]
[ROW][C]26[/C][C]-0.058885[/C][C]-0.5397[/C][C]0.29542[/C][/ROW]
[ROW][C]27[/C][C]-0.163218[/C][C]-1.4959[/C][C]0.069212[/C][/ROW]
[ROW][C]28[/C][C]-0.10674[/C][C]-0.9783[/C][C]0.165371[/C][/ROW]
[ROW][C]29[/C][C]-0.022498[/C][C]-0.2062[/C][C]0.418568[/C][/ROW]
[ROW][C]30[/C][C]0.0263[/C][C]0.241[/C][C]0.405055[/C][/ROW]
[ROW][C]31[/C][C]0.027177[/C][C]0.2491[/C][C]0.401953[/C][/ROW]
[ROW][C]32[/C][C]-0.034779[/C][C]-0.3188[/C][C]0.375351[/C][/ROW]
[ROW][C]33[/C][C]0.010253[/C][C]0.094[/C][C]0.462677[/C][/ROW]
[ROW][C]34[/C][C]0.02546[/C][C]0.2333[/C][C]0.40803[/C][/ROW]
[ROW][C]35[/C][C]0.002355[/C][C]0.0216[/C][C]0.491417[/C][/ROW]
[ROW][C]36[/C][C]0.12204[/C][C]1.1185[/C][C]0.133268[/C][/ROW]
[ROW][C]37[/C][C]-0.054869[/C][C]-0.5029[/C][C]0.308181[/C][/ROW]
[ROW][C]38[/C][C]-0.054874[/C][C]-0.5029[/C][C]0.308166[/C][/ROW]
[ROW][C]39[/C][C]-0.057837[/C][C]-0.5301[/C][C]0.298727[/C][/ROW]
[ROW][C]40[/C][C]0.041318[/C][C]0.3787[/C][C]0.35294[/C][/ROW]
[ROW][C]41[/C][C]0.095136[/C][C]0.8719[/C][C]0.192864[/C][/ROW]
[ROW][C]42[/C][C]0.075124[/C][C]0.6885[/C][C]0.246511[/C][/ROW]
[ROW][C]43[/C][C]-0.040282[/C][C]-0.3692[/C][C]0.356457[/C][/ROW]
[ROW][C]44[/C][C]-0.188546[/C][C]-1.7281[/C][C]0.043826[/C][/ROW]
[ROW][C]45[/C][C]-0.118261[/C][C]-1.0839[/C][C]0.140759[/C][/ROW]
[ROW][C]46[/C][C]-0.071017[/C][C]-0.6509[/C][C]0.258449[/C][/ROW]
[ROW][C]47[/C][C]0.031903[/C][C]0.2924[/C][C]0.385354[/C][/ROW]
[ROW][C]48[/C][C]0.192635[/C][C]1.7655[/C][C]0.040554[/C][/ROW]
[ROW][C]49[/C][C]0.071327[/C][C]0.6537[/C][C]0.257538[/C][/ROW]
[ROW][C]50[/C][C]-0.018303[/C][C]-0.1677[/C][C]0.433592[/C][/ROW]
[ROW][C]51[/C][C]-0.036985[/C][C]-0.339[/C][C]0.367736[/C][/ROW]
[ROW][C]52[/C][C]-0.034629[/C][C]-0.3174[/C][C]0.375871[/C][/ROW]
[ROW][C]53[/C][C]-0.02253[/C][C]-0.2065[/C][C]0.418454[/C][/ROW]
[ROW][C]54[/C][C]0.026044[/C][C]0.2387[/C][C]0.405962[/C][/ROW]
[ROW][C]55[/C][C]-0.038124[/C][C]-0.3494[/C][C]0.363827[/C][/ROW]
[ROW][C]56[/C][C]-0.090696[/C][C]-0.8312[/C][C]0.204096[/C][/ROW]
[ROW][C]57[/C][C]-0.027942[/C][C]-0.2561[/C][C]0.399253[/C][/ROW]
[ROW][C]58[/C][C]-0.054455[/C][C]-0.4991[/C][C]0.309512[/C][/ROW]
[ROW][C]59[/C][C]-0.030536[/C][C]-0.2799[/C][C]0.390134[/C][/ROW]
[ROW][C]60[/C][C]0.088701[/C][C]0.813[/C][C]0.20927[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34274&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34274&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
10.3639963.33610.000633
2-0.134596-1.23360.110397
3-0.424546-3.8911e-04
4-0.377078-3.4560.000431
5-0.038335-0.35130.363105
60.2575082.36010.010294
70.1305071.19610.117508
8-0.114331-1.04790.148854
9-0.182115-1.66910.049409
10-0.086801-0.79550.21427
110.1747941.6020.056454
120.5248334.81023e-06
130.1583181.4510.075251
14-0.082306-0.75430.226375
15-0.245782-2.25260.013445
16-0.193219-1.77090.040104
17-0.026135-0.23950.405637
180.1544561.41560.080293
190.0589090.53990.295345
20-0.07791-0.71410.238587
21-0.113283-1.03830.151065
22-0.017894-0.1640.435061
230.09160.83950.201778
240.3012842.76130.003534
250.0653070.59860.275541
26-0.058885-0.53970.29542
27-0.163218-1.49590.069212
28-0.10674-0.97830.165371
29-0.022498-0.20620.418568
300.02630.2410.405055
310.0271770.24910.401953
32-0.034779-0.31880.375351
330.0102530.0940.462677
340.025460.23330.40803
350.0023550.02160.491417
360.122041.11850.133268
37-0.054869-0.50290.308181
38-0.054874-0.50290.308166
39-0.057837-0.53010.298727
400.0413180.37870.35294
410.0951360.87190.192864
420.0751240.68850.246511
43-0.040282-0.36920.356457
44-0.188546-1.72810.043826
45-0.118261-1.08390.140759
46-0.071017-0.65090.258449
470.0319030.29240.385354
480.1926351.76550.040554
490.0713270.65370.257538
50-0.018303-0.16770.433592
51-0.036985-0.3390.367736
52-0.034629-0.31740.375871
53-0.02253-0.20650.418454
540.0260440.23870.405962
55-0.038124-0.34940.363827
56-0.090696-0.83120.204096
57-0.027942-0.25610.399253
58-0.054455-0.49910.309512
59-0.030536-0.27990.390134
600.0887010.8130.20927







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3639963.33610.000633
2-0.307882-2.82180.00298
3-0.316325-2.89920.002386
4-0.17312-1.58670.058172
50.0506610.46430.32181
60.0863290.79120.215523
7-0.214844-1.96910.02612
8-0.185326-1.69850.046554
90.0085740.07860.468775
100.0204440.18740.42591
110.1037450.95080.172207
120.427033.91389.2e-05
13-0.209203-1.91740.029295
140.1949911.78710.038763
150.1330741.21960.113007
160.1320311.21010.11482
17-0.030181-0.27660.391377
180.0193770.17760.429734
190.0087710.08040.46806
20-0.005952-0.05460.478312
21-0.084088-0.77070.221531
220.0527990.48390.314855
23-0.118446-1.08560.140387
240.040490.37110.35575
25-0.060889-0.55810.289145
260.0072980.06690.473414
27-0.046141-0.42290.336728
280.0068460.06270.475058
29-0.017623-0.16150.436037
30-0.157704-1.44540.076036
310.0888930.81470.208769
32-0.042243-0.38720.349807
330.0904370.82890.204765
34-0.129746-1.18910.118868
35-0.011769-0.10790.457179
360.0443050.40610.342863
37-0.113301-1.03840.151026
38-0.012393-0.11360.454919
390.0356220.32650.372437
400.0483690.44330.329341
410.1584821.45250.075042
420.0772150.70770.24055
43-0.024749-0.22680.410552
44-0.096827-0.88740.188691
450.0015040.01380.494518
46-0.111426-1.02120.155036
47-0.048195-0.44170.329917
48-0.019381-0.17760.42972
490.0106080.09720.461391
50-0.104904-0.96150.169541
510.0808340.74090.230423
52-0.086663-0.79430.214634
53-0.094029-0.86180.195628
540.0066090.06060.475923
55-0.040858-0.37450.354498
560.095680.87690.191516
57-0.042266-0.38740.349729
580.0060260.05520.478044
59-0.030256-0.27730.391117
60-0.041904-0.38410.350954

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.363996 & 3.3361 & 0.000633 \tabularnewline
2 & -0.307882 & -2.8218 & 0.00298 \tabularnewline
3 & -0.316325 & -2.8992 & 0.002386 \tabularnewline
4 & -0.17312 & -1.5867 & 0.058172 \tabularnewline
5 & 0.050661 & 0.4643 & 0.32181 \tabularnewline
6 & 0.086329 & 0.7912 & 0.215523 \tabularnewline
7 & -0.214844 & -1.9691 & 0.02612 \tabularnewline
8 & -0.185326 & -1.6985 & 0.046554 \tabularnewline
9 & 0.008574 & 0.0786 & 0.468775 \tabularnewline
10 & 0.020444 & 0.1874 & 0.42591 \tabularnewline
11 & 0.103745 & 0.9508 & 0.172207 \tabularnewline
12 & 0.42703 & 3.9138 & 9.2e-05 \tabularnewline
13 & -0.209203 & -1.9174 & 0.029295 \tabularnewline
14 & 0.194991 & 1.7871 & 0.038763 \tabularnewline
15 & 0.133074 & 1.2196 & 0.113007 \tabularnewline
16 & 0.132031 & 1.2101 & 0.11482 \tabularnewline
17 & -0.030181 & -0.2766 & 0.391377 \tabularnewline
18 & 0.019377 & 0.1776 & 0.429734 \tabularnewline
19 & 0.008771 & 0.0804 & 0.46806 \tabularnewline
20 & -0.005952 & -0.0546 & 0.478312 \tabularnewline
21 & -0.084088 & -0.7707 & 0.221531 \tabularnewline
22 & 0.052799 & 0.4839 & 0.314855 \tabularnewline
23 & -0.118446 & -1.0856 & 0.140387 \tabularnewline
24 & 0.04049 & 0.3711 & 0.35575 \tabularnewline
25 & -0.060889 & -0.5581 & 0.289145 \tabularnewline
26 & 0.007298 & 0.0669 & 0.473414 \tabularnewline
27 & -0.046141 & -0.4229 & 0.336728 \tabularnewline
28 & 0.006846 & 0.0627 & 0.475058 \tabularnewline
29 & -0.017623 & -0.1615 & 0.436037 \tabularnewline
30 & -0.157704 & -1.4454 & 0.076036 \tabularnewline
31 & 0.088893 & 0.8147 & 0.208769 \tabularnewline
32 & -0.042243 & -0.3872 & 0.349807 \tabularnewline
33 & 0.090437 & 0.8289 & 0.204765 \tabularnewline
34 & -0.129746 & -1.1891 & 0.118868 \tabularnewline
35 & -0.011769 & -0.1079 & 0.457179 \tabularnewline
36 & 0.044305 & 0.4061 & 0.342863 \tabularnewline
37 & -0.113301 & -1.0384 & 0.151026 \tabularnewline
38 & -0.012393 & -0.1136 & 0.454919 \tabularnewline
39 & 0.035622 & 0.3265 & 0.372437 \tabularnewline
40 & 0.048369 & 0.4433 & 0.329341 \tabularnewline
41 & 0.158482 & 1.4525 & 0.075042 \tabularnewline
42 & 0.077215 & 0.7077 & 0.24055 \tabularnewline
43 & -0.024749 & -0.2268 & 0.410552 \tabularnewline
44 & -0.096827 & -0.8874 & 0.188691 \tabularnewline
45 & 0.001504 & 0.0138 & 0.494518 \tabularnewline
46 & -0.111426 & -1.0212 & 0.155036 \tabularnewline
47 & -0.048195 & -0.4417 & 0.329917 \tabularnewline
48 & -0.019381 & -0.1776 & 0.42972 \tabularnewline
49 & 0.010608 & 0.0972 & 0.461391 \tabularnewline
50 & -0.104904 & -0.9615 & 0.169541 \tabularnewline
51 & 0.080834 & 0.7409 & 0.230423 \tabularnewline
52 & -0.086663 & -0.7943 & 0.214634 \tabularnewline
53 & -0.094029 & -0.8618 & 0.195628 \tabularnewline
54 & 0.006609 & 0.0606 & 0.475923 \tabularnewline
55 & -0.040858 & -0.3745 & 0.354498 \tabularnewline
56 & 0.09568 & 0.8769 & 0.191516 \tabularnewline
57 & -0.042266 & -0.3874 & 0.349729 \tabularnewline
58 & 0.006026 & 0.0552 & 0.478044 \tabularnewline
59 & -0.030256 & -0.2773 & 0.391117 \tabularnewline
60 & -0.041904 & -0.3841 & 0.350954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34274&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]0.363996[/C][C]3.3361[/C][C]0.000633[/C][/ROW]
[ROW][C]2[/C][C]-0.307882[/C][C]-2.8218[/C][C]0.00298[/C][/ROW]
[ROW][C]3[/C][C]-0.316325[/C][C]-2.8992[/C][C]0.002386[/C][/ROW]
[ROW][C]4[/C][C]-0.17312[/C][C]-1.5867[/C][C]0.058172[/C][/ROW]
[ROW][C]5[/C][C]0.050661[/C][C]0.4643[/C][C]0.32181[/C][/ROW]
[ROW][C]6[/C][C]0.086329[/C][C]0.7912[/C][C]0.215523[/C][/ROW]
[ROW][C]7[/C][C]-0.214844[/C][C]-1.9691[/C][C]0.02612[/C][/ROW]
[ROW][C]8[/C][C]-0.185326[/C][C]-1.6985[/C][C]0.046554[/C][/ROW]
[ROW][C]9[/C][C]0.008574[/C][C]0.0786[/C][C]0.468775[/C][/ROW]
[ROW][C]10[/C][C]0.020444[/C][C]0.1874[/C][C]0.42591[/C][/ROW]
[ROW][C]11[/C][C]0.103745[/C][C]0.9508[/C][C]0.172207[/C][/ROW]
[ROW][C]12[/C][C]0.42703[/C][C]3.9138[/C][C]9.2e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.209203[/C][C]-1.9174[/C][C]0.029295[/C][/ROW]
[ROW][C]14[/C][C]0.194991[/C][C]1.7871[/C][C]0.038763[/C][/ROW]
[ROW][C]15[/C][C]0.133074[/C][C]1.2196[/C][C]0.113007[/C][/ROW]
[ROW][C]16[/C][C]0.132031[/C][C]1.2101[/C][C]0.11482[/C][/ROW]
[ROW][C]17[/C][C]-0.030181[/C][C]-0.2766[/C][C]0.391377[/C][/ROW]
[ROW][C]18[/C][C]0.019377[/C][C]0.1776[/C][C]0.429734[/C][/ROW]
[ROW][C]19[/C][C]0.008771[/C][C]0.0804[/C][C]0.46806[/C][/ROW]
[ROW][C]20[/C][C]-0.005952[/C][C]-0.0546[/C][C]0.478312[/C][/ROW]
[ROW][C]21[/C][C]-0.084088[/C][C]-0.7707[/C][C]0.221531[/C][/ROW]
[ROW][C]22[/C][C]0.052799[/C][C]0.4839[/C][C]0.314855[/C][/ROW]
[ROW][C]23[/C][C]-0.118446[/C][C]-1.0856[/C][C]0.140387[/C][/ROW]
[ROW][C]24[/C][C]0.04049[/C][C]0.3711[/C][C]0.35575[/C][/ROW]
[ROW][C]25[/C][C]-0.060889[/C][C]-0.5581[/C][C]0.289145[/C][/ROW]
[ROW][C]26[/C][C]0.007298[/C][C]0.0669[/C][C]0.473414[/C][/ROW]
[ROW][C]27[/C][C]-0.046141[/C][C]-0.4229[/C][C]0.336728[/C][/ROW]
[ROW][C]28[/C][C]0.006846[/C][C]0.0627[/C][C]0.475058[/C][/ROW]
[ROW][C]29[/C][C]-0.017623[/C][C]-0.1615[/C][C]0.436037[/C][/ROW]
[ROW][C]30[/C][C]-0.157704[/C][C]-1.4454[/C][C]0.076036[/C][/ROW]
[ROW][C]31[/C][C]0.088893[/C][C]0.8147[/C][C]0.208769[/C][/ROW]
[ROW][C]32[/C][C]-0.042243[/C][C]-0.3872[/C][C]0.349807[/C][/ROW]
[ROW][C]33[/C][C]0.090437[/C][C]0.8289[/C][C]0.204765[/C][/ROW]
[ROW][C]34[/C][C]-0.129746[/C][C]-1.1891[/C][C]0.118868[/C][/ROW]
[ROW][C]35[/C][C]-0.011769[/C][C]-0.1079[/C][C]0.457179[/C][/ROW]
[ROW][C]36[/C][C]0.044305[/C][C]0.4061[/C][C]0.342863[/C][/ROW]
[ROW][C]37[/C][C]-0.113301[/C][C]-1.0384[/C][C]0.151026[/C][/ROW]
[ROW][C]38[/C][C]-0.012393[/C][C]-0.1136[/C][C]0.454919[/C][/ROW]
[ROW][C]39[/C][C]0.035622[/C][C]0.3265[/C][C]0.372437[/C][/ROW]
[ROW][C]40[/C][C]0.048369[/C][C]0.4433[/C][C]0.329341[/C][/ROW]
[ROW][C]41[/C][C]0.158482[/C][C]1.4525[/C][C]0.075042[/C][/ROW]
[ROW][C]42[/C][C]0.077215[/C][C]0.7077[/C][C]0.24055[/C][/ROW]
[ROW][C]43[/C][C]-0.024749[/C][C]-0.2268[/C][C]0.410552[/C][/ROW]
[ROW][C]44[/C][C]-0.096827[/C][C]-0.8874[/C][C]0.188691[/C][/ROW]
[ROW][C]45[/C][C]0.001504[/C][C]0.0138[/C][C]0.494518[/C][/ROW]
[ROW][C]46[/C][C]-0.111426[/C][C]-1.0212[/C][C]0.155036[/C][/ROW]
[ROW][C]47[/C][C]-0.048195[/C][C]-0.4417[/C][C]0.329917[/C][/ROW]
[ROW][C]48[/C][C]-0.019381[/C][C]-0.1776[/C][C]0.42972[/C][/ROW]
[ROW][C]49[/C][C]0.010608[/C][C]0.0972[/C][C]0.461391[/C][/ROW]
[ROW][C]50[/C][C]-0.104904[/C][C]-0.9615[/C][C]0.169541[/C][/ROW]
[ROW][C]51[/C][C]0.080834[/C][C]0.7409[/C][C]0.230423[/C][/ROW]
[ROW][C]52[/C][C]-0.086663[/C][C]-0.7943[/C][C]0.214634[/C][/ROW]
[ROW][C]53[/C][C]-0.094029[/C][C]-0.8618[/C][C]0.195628[/C][/ROW]
[ROW][C]54[/C][C]0.006609[/C][C]0.0606[/C][C]0.475923[/C][/ROW]
[ROW][C]55[/C][C]-0.040858[/C][C]-0.3745[/C][C]0.354498[/C][/ROW]
[ROW][C]56[/C][C]0.09568[/C][C]0.8769[/C][C]0.191516[/C][/ROW]
[ROW][C]57[/C][C]-0.042266[/C][C]-0.3874[/C][C]0.349729[/C][/ROW]
[ROW][C]58[/C][C]0.006026[/C][C]0.0552[/C][C]0.478044[/C][/ROW]
[ROW][C]59[/C][C]-0.030256[/C][C]-0.2773[/C][C]0.391117[/C][/ROW]
[ROW][C]60[/C][C]-0.041904[/C][C]-0.3841[/C][C]0.350954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34274&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34274&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
10.3639963.33610.000633
2-0.307882-2.82180.00298
3-0.316325-2.89920.002386
4-0.17312-1.58670.058172
50.0506610.46430.32181
60.0863290.79120.215523
7-0.214844-1.96910.02612
8-0.185326-1.69850.046554
90.0085740.07860.468775
100.0204440.18740.42591
110.1037450.95080.172207
120.427033.91389.2e-05
13-0.209203-1.91740.029295
140.1949911.78710.038763
150.1330741.21960.113007
160.1320311.21010.11482
17-0.030181-0.27660.391377
180.0193770.17760.429734
190.0087710.08040.46806
20-0.005952-0.05460.478312
21-0.084088-0.77070.221531
220.0527990.48390.314855
23-0.118446-1.08560.140387
240.040490.37110.35575
25-0.060889-0.55810.289145
260.0072980.06690.473414
27-0.046141-0.42290.336728
280.0068460.06270.475058
29-0.017623-0.16150.436037
30-0.157704-1.44540.076036
310.0888930.81470.208769
32-0.042243-0.38720.349807
330.0904370.82890.204765
34-0.129746-1.18910.118868
35-0.011769-0.10790.457179
360.0443050.40610.342863
37-0.113301-1.03840.151026
38-0.012393-0.11360.454919
390.0356220.32650.372437
400.0483690.44330.329341
410.1584821.45250.075042
420.0772150.70770.24055
43-0.024749-0.22680.410552
44-0.096827-0.88740.188691
450.0015040.01380.494518
46-0.111426-1.02120.155036
47-0.048195-0.44170.329917
48-0.019381-0.17760.42972
490.0106080.09720.461391
50-0.104904-0.96150.169541
510.0808340.74090.230423
52-0.086663-0.79430.214634
53-0.094029-0.86180.195628
540.0066090.06060.475923
55-0.040858-0.37450.354498
560.095680.87690.191516
57-0.042266-0.38740.349729
580.0060260.05520.478044
59-0.030256-0.27730.391117
60-0.041904-0.38410.350954



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