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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 25 Dec 2007 05:37:07 -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/2007/Dec/25/t1198585092bhko4sm3cef7a64.htm/, Retrieved Sat, 04 May 2024 04:41:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4880, Retrieved Sat, 04 May 2024 04:41:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKlaas Van Pelt
Estimated Impact256
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF 5] [2007-12-25 12:37:07] [6abd901c2e17b7d5559c695bbff3d863] [Current]
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Dataseries X:
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688




Summary of compuational 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 compuational 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=4880&T=0

[TABLE]
[ROW][C]Summary of compuational 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=4880&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4880&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 compuational 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
018.18540
1-0.360598-2.95160.997823
20.0923660.7560.226136
3-0.118434-0.96940.832089
4-0.172742-1.4140.918998
50.0313620.25670.399096
60.0657970.53860.295984
7-0.082065-0.67170.747968
80.0848980.69490.244755
90.2608662.13530.018199
10-0.163866-1.34130.907825
110.0211010.17270.431697
12-0.295548-2.41920.990861
13-0.074553-0.61020.728117
140.0374050.30620.380212
150.1890921.54780.063192
16-0.054245-0.4440.67077
170.0377560.3090.379121
180.1037310.84910.199431
19-0.179667-1.47060.926965
200.0843810.69070.246074
21-0.13427-1.0990.862159
22-0.106957-0.87550.80778
230.228031.86650.033174
240.0349240.28590.387932
250.0952060.77930.219274
260.0485920.39770.346041
27-0.14188-1.16130.875188
28-0.090572-0.74140.769468
290.1116410.91380.182044
30-0.136765-1.11950.866531
310.1115950.91340.182143
32-0.005612-0.04590.518252
330.1059740.86740.1944
34-0.023598-0.19320.576291
35-0.001691-0.01380.5055
36-0.156038-1.27720.897035
37-0.111752-0.91470.818192
380.1505291.23210.111104
39-0.102085-0.83560.796826
400.1730191.41620.080672
41-0.039766-0.32550.627092
42-0.010089-0.08260.532784
43-0.000604-0.00490.501965
44-0.017487-0.14310.556695
45-0.107784-0.88220.809601
460.0702360.57490.283639
470.0397460.32530.37297
48-0.02549-0.20860.582319
490.1842031.50780.068157
50-0.156518-1.28120.897723
510.0816820.66860.253025
52-0.062491-0.51150.694661
53-0.023307-0.19080.575362
540.0161160.13190.447723
550.0071240.05830.476838
56-0.012329-0.10090.54004
570.0404610.33120.370767
58-0.00764-0.06250.52484
59-0.017241-0.14110.555901

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.1854 & 0 \tabularnewline
1 & -0.360598 & -2.9516 & 0.997823 \tabularnewline
2 & 0.092366 & 0.756 & 0.226136 \tabularnewline
3 & -0.118434 & -0.9694 & 0.832089 \tabularnewline
4 & -0.172742 & -1.414 & 0.918998 \tabularnewline
5 & 0.031362 & 0.2567 & 0.399096 \tabularnewline
6 & 0.065797 & 0.5386 & 0.295984 \tabularnewline
7 & -0.082065 & -0.6717 & 0.747968 \tabularnewline
8 & 0.084898 & 0.6949 & 0.244755 \tabularnewline
9 & 0.260866 & 2.1353 & 0.018199 \tabularnewline
10 & -0.163866 & -1.3413 & 0.907825 \tabularnewline
11 & 0.021101 & 0.1727 & 0.431697 \tabularnewline
12 & -0.295548 & -2.4192 & 0.990861 \tabularnewline
13 & -0.074553 & -0.6102 & 0.728117 \tabularnewline
14 & 0.037405 & 0.3062 & 0.380212 \tabularnewline
15 & 0.189092 & 1.5478 & 0.063192 \tabularnewline
16 & -0.054245 & -0.444 & 0.67077 \tabularnewline
17 & 0.037756 & 0.309 & 0.379121 \tabularnewline
18 & 0.103731 & 0.8491 & 0.199431 \tabularnewline
19 & -0.179667 & -1.4706 & 0.926965 \tabularnewline
20 & 0.084381 & 0.6907 & 0.246074 \tabularnewline
21 & -0.13427 & -1.099 & 0.862159 \tabularnewline
22 & -0.106957 & -0.8755 & 0.80778 \tabularnewline
23 & 0.22803 & 1.8665 & 0.033174 \tabularnewline
24 & 0.034924 & 0.2859 & 0.387932 \tabularnewline
25 & 0.095206 & 0.7793 & 0.219274 \tabularnewline
26 & 0.048592 & 0.3977 & 0.346041 \tabularnewline
27 & -0.14188 & -1.1613 & 0.875188 \tabularnewline
28 & -0.090572 & -0.7414 & 0.769468 \tabularnewline
29 & 0.111641 & 0.9138 & 0.182044 \tabularnewline
30 & -0.136765 & -1.1195 & 0.866531 \tabularnewline
31 & 0.111595 & 0.9134 & 0.182143 \tabularnewline
32 & -0.005612 & -0.0459 & 0.518252 \tabularnewline
33 & 0.105974 & 0.8674 & 0.1944 \tabularnewline
34 & -0.023598 & -0.1932 & 0.576291 \tabularnewline
35 & -0.001691 & -0.0138 & 0.5055 \tabularnewline
36 & -0.156038 & -1.2772 & 0.897035 \tabularnewline
37 & -0.111752 & -0.9147 & 0.818192 \tabularnewline
38 & 0.150529 & 1.2321 & 0.111104 \tabularnewline
39 & -0.102085 & -0.8356 & 0.796826 \tabularnewline
40 & 0.173019 & 1.4162 & 0.080672 \tabularnewline
41 & -0.039766 & -0.3255 & 0.627092 \tabularnewline
42 & -0.010089 & -0.0826 & 0.532784 \tabularnewline
43 & -0.000604 & -0.0049 & 0.501965 \tabularnewline
44 & -0.017487 & -0.1431 & 0.556695 \tabularnewline
45 & -0.107784 & -0.8822 & 0.809601 \tabularnewline
46 & 0.070236 & 0.5749 & 0.283639 \tabularnewline
47 & 0.039746 & 0.3253 & 0.37297 \tabularnewline
48 & -0.02549 & -0.2086 & 0.582319 \tabularnewline
49 & 0.184203 & 1.5078 & 0.068157 \tabularnewline
50 & -0.156518 & -1.2812 & 0.897723 \tabularnewline
51 & 0.081682 & 0.6686 & 0.253025 \tabularnewline
52 & -0.062491 & -0.5115 & 0.694661 \tabularnewline
53 & -0.023307 & -0.1908 & 0.575362 \tabularnewline
54 & 0.016116 & 0.1319 & 0.447723 \tabularnewline
55 & 0.007124 & 0.0583 & 0.476838 \tabularnewline
56 & -0.012329 & -0.1009 & 0.54004 \tabularnewline
57 & 0.040461 & 0.3312 & 0.370767 \tabularnewline
58 & -0.00764 & -0.0625 & 0.52484 \tabularnewline
59 & -0.017241 & -0.1411 & 0.555901 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4880&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]0[/C][C]1[/C][C]8.1854[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.360598[/C][C]-2.9516[/C][C]0.997823[/C][/ROW]
[ROW][C]2[/C][C]0.092366[/C][C]0.756[/C][C]0.226136[/C][/ROW]
[ROW][C]3[/C][C]-0.118434[/C][C]-0.9694[/C][C]0.832089[/C][/ROW]
[ROW][C]4[/C][C]-0.172742[/C][C]-1.414[/C][C]0.918998[/C][/ROW]
[ROW][C]5[/C][C]0.031362[/C][C]0.2567[/C][C]0.399096[/C][/ROW]
[ROW][C]6[/C][C]0.065797[/C][C]0.5386[/C][C]0.295984[/C][/ROW]
[ROW][C]7[/C][C]-0.082065[/C][C]-0.6717[/C][C]0.747968[/C][/ROW]
[ROW][C]8[/C][C]0.084898[/C][C]0.6949[/C][C]0.244755[/C][/ROW]
[ROW][C]9[/C][C]0.260866[/C][C]2.1353[/C][C]0.018199[/C][/ROW]
[ROW][C]10[/C][C]-0.163866[/C][C]-1.3413[/C][C]0.907825[/C][/ROW]
[ROW][C]11[/C][C]0.021101[/C][C]0.1727[/C][C]0.431697[/C][/ROW]
[ROW][C]12[/C][C]-0.295548[/C][C]-2.4192[/C][C]0.990861[/C][/ROW]
[ROW][C]13[/C][C]-0.074553[/C][C]-0.6102[/C][C]0.728117[/C][/ROW]
[ROW][C]14[/C][C]0.037405[/C][C]0.3062[/C][C]0.380212[/C][/ROW]
[ROW][C]15[/C][C]0.189092[/C][C]1.5478[/C][C]0.063192[/C][/ROW]
[ROW][C]16[/C][C]-0.054245[/C][C]-0.444[/C][C]0.67077[/C][/ROW]
[ROW][C]17[/C][C]0.037756[/C][C]0.309[/C][C]0.379121[/C][/ROW]
[ROW][C]18[/C][C]0.103731[/C][C]0.8491[/C][C]0.199431[/C][/ROW]
[ROW][C]19[/C][C]-0.179667[/C][C]-1.4706[/C][C]0.926965[/C][/ROW]
[ROW][C]20[/C][C]0.084381[/C][C]0.6907[/C][C]0.246074[/C][/ROW]
[ROW][C]21[/C][C]-0.13427[/C][C]-1.099[/C][C]0.862159[/C][/ROW]
[ROW][C]22[/C][C]-0.106957[/C][C]-0.8755[/C][C]0.80778[/C][/ROW]
[ROW][C]23[/C][C]0.22803[/C][C]1.8665[/C][C]0.033174[/C][/ROW]
[ROW][C]24[/C][C]0.034924[/C][C]0.2859[/C][C]0.387932[/C][/ROW]
[ROW][C]25[/C][C]0.095206[/C][C]0.7793[/C][C]0.219274[/C][/ROW]
[ROW][C]26[/C][C]0.048592[/C][C]0.3977[/C][C]0.346041[/C][/ROW]
[ROW][C]27[/C][C]-0.14188[/C][C]-1.1613[/C][C]0.875188[/C][/ROW]
[ROW][C]28[/C][C]-0.090572[/C][C]-0.7414[/C][C]0.769468[/C][/ROW]
[ROW][C]29[/C][C]0.111641[/C][C]0.9138[/C][C]0.182044[/C][/ROW]
[ROW][C]30[/C][C]-0.136765[/C][C]-1.1195[/C][C]0.866531[/C][/ROW]
[ROW][C]31[/C][C]0.111595[/C][C]0.9134[/C][C]0.182143[/C][/ROW]
[ROW][C]32[/C][C]-0.005612[/C][C]-0.0459[/C][C]0.518252[/C][/ROW]
[ROW][C]33[/C][C]0.105974[/C][C]0.8674[/C][C]0.1944[/C][/ROW]
[ROW][C]34[/C][C]-0.023598[/C][C]-0.1932[/C][C]0.576291[/C][/ROW]
[ROW][C]35[/C][C]-0.001691[/C][C]-0.0138[/C][C]0.5055[/C][/ROW]
[ROW][C]36[/C][C]-0.156038[/C][C]-1.2772[/C][C]0.897035[/C][/ROW]
[ROW][C]37[/C][C]-0.111752[/C][C]-0.9147[/C][C]0.818192[/C][/ROW]
[ROW][C]38[/C][C]0.150529[/C][C]1.2321[/C][C]0.111104[/C][/ROW]
[ROW][C]39[/C][C]-0.102085[/C][C]-0.8356[/C][C]0.796826[/C][/ROW]
[ROW][C]40[/C][C]0.173019[/C][C]1.4162[/C][C]0.080672[/C][/ROW]
[ROW][C]41[/C][C]-0.039766[/C][C]-0.3255[/C][C]0.627092[/C][/ROW]
[ROW][C]42[/C][C]-0.010089[/C][C]-0.0826[/C][C]0.532784[/C][/ROW]
[ROW][C]43[/C][C]-0.000604[/C][C]-0.0049[/C][C]0.501965[/C][/ROW]
[ROW][C]44[/C][C]-0.017487[/C][C]-0.1431[/C][C]0.556695[/C][/ROW]
[ROW][C]45[/C][C]-0.107784[/C][C]-0.8822[/C][C]0.809601[/C][/ROW]
[ROW][C]46[/C][C]0.070236[/C][C]0.5749[/C][C]0.283639[/C][/ROW]
[ROW][C]47[/C][C]0.039746[/C][C]0.3253[/C][C]0.37297[/C][/ROW]
[ROW][C]48[/C][C]-0.02549[/C][C]-0.2086[/C][C]0.582319[/C][/ROW]
[ROW][C]49[/C][C]0.184203[/C][C]1.5078[/C][C]0.068157[/C][/ROW]
[ROW][C]50[/C][C]-0.156518[/C][C]-1.2812[/C][C]0.897723[/C][/ROW]
[ROW][C]51[/C][C]0.081682[/C][C]0.6686[/C][C]0.253025[/C][/ROW]
[ROW][C]52[/C][C]-0.062491[/C][C]-0.5115[/C][C]0.694661[/C][/ROW]
[ROW][C]53[/C][C]-0.023307[/C][C]-0.1908[/C][C]0.575362[/C][/ROW]
[ROW][C]54[/C][C]0.016116[/C][C]0.1319[/C][C]0.447723[/C][/ROW]
[ROW][C]55[/C][C]0.007124[/C][C]0.0583[/C][C]0.476838[/C][/ROW]
[ROW][C]56[/C][C]-0.012329[/C][C]-0.1009[/C][C]0.54004[/C][/ROW]
[ROW][C]57[/C][C]0.040461[/C][C]0.3312[/C][C]0.370767[/C][/ROW]
[ROW][C]58[/C][C]-0.00764[/C][C]-0.0625[/C][C]0.52484[/C][/ROW]
[ROW][C]59[/C][C]-0.017241[/C][C]-0.1411[/C][C]0.555901[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4880&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4880&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
018.18540
1-0.360598-2.95160.997823
20.0923660.7560.226136
3-0.118434-0.96940.832089
4-0.172742-1.4140.918998
50.0313620.25670.399096
60.0657970.53860.295984
7-0.082065-0.67170.747968
80.0848980.69490.244755
90.2608662.13530.018199
10-0.163866-1.34130.907825
110.0211010.17270.431697
12-0.295548-2.41920.990861
13-0.074553-0.61020.728117
140.0374050.30620.380212
150.1890921.54780.063192
16-0.054245-0.4440.67077
170.0377560.3090.379121
180.1037310.84910.199431
19-0.179667-1.47060.926965
200.0843810.69070.246074
21-0.13427-1.0990.862159
22-0.106957-0.87550.80778
230.228031.86650.033174
240.0349240.28590.387932
250.0952060.77930.219274
260.0485920.39770.346041
27-0.14188-1.16130.875188
28-0.090572-0.74140.769468
290.1116410.91380.182044
30-0.136765-1.11950.866531
310.1115950.91340.182143
32-0.005612-0.04590.518252
330.1059740.86740.1944
34-0.023598-0.19320.576291
35-0.001691-0.01380.5055
36-0.156038-1.27720.897035
37-0.111752-0.91470.818192
380.1505291.23210.111104
39-0.102085-0.83560.796826
400.1730191.41620.080672
41-0.039766-0.32550.627092
42-0.010089-0.08260.532784
43-0.000604-0.00490.501965
44-0.017487-0.14310.556695
45-0.107784-0.88220.809601
460.0702360.57490.283639
470.0397460.32530.37297
48-0.02549-0.20860.582319
490.1842031.50780.068157
50-0.156518-1.28120.897723
510.0816820.66860.253025
52-0.062491-0.51150.694661
53-0.023307-0.19080.575362
540.0161160.13190.447723
550.0071240.05830.476838
56-0.012329-0.10090.54004
570.0404610.33120.370767
58-0.00764-0.06250.52484
59-0.017241-0.14110.555901







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.360598-2.95160.997823
1-0.043295-0.35440.637918
2-0.114353-0.9360.823687
3-0.29306-2.39880.990381
4-0.176523-1.44490.923428
5-0.006165-0.05050.520048
6-0.155925-1.27630.896872
7-0.10147-0.83060.795417
80.343862.81460.003203
90.1088260.89080.188119
10-0.055488-0.45420.67442
11-0.276281-2.26150.986509
12-0.256777-2.10180.980334
13-0.272284-2.22870.985405
14-0.057094-0.46730.679111
15-0.121541-0.99490.838307
16-0.245748-2.01150.975853
170.0065060.05330.478844
18-0.080183-0.65630.743068
19-0.036584-0.29940.617238
200.0898210.73520.232387
21-0.095197-0.77920.780703
22-0.029867-0.24450.596193
23-0.139531-1.14210.871263
24-0.03793-0.31050.621415
250.0260390.21310.415934
26-0.038932-0.31870.624517
27-0.144401-1.1820.879303
28-0.027082-0.22170.58738
29-0.020296-0.16610.565721
300.0301040.24640.403058
31-0.080734-0.66080.744509
320.0848180.69430.244958
33-0.03917-0.32060.625252
34-0.027146-0.22220.587583
35-0.026592-0.21770.585824
36-0.095104-0.77850.780482
370.0225220.18430.427149
38-0.103873-0.85020.800888
39-0.052221-0.42740.664787
40-0.04981-0.40770.657607
41-0.007075-0.05790.523005
42-0.004417-0.03620.514366
43-0.083952-0.68720.752829
440.0359560.29430.384715
450.0534690.43770.331518
460.0701150.57390.283973
47-0.089511-0.73270.766845
48-0.027101-0.22180.587439
49-0.077686-0.63590.736493
50-0.028948-0.2370.593292
510.0071440.05850.476773
52-0.013378-0.10950.543435
530.0425350.34820.364403
540.0121240.09920.460623
55-0.103891-0.85040.80093
560.0547260.4480.327816
57-0.072008-0.58940.721217
58-0.001035-0.00850.503367
59-0.046571-0.38120.647871

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.360598 & -2.9516 & 0.997823 \tabularnewline
1 & -0.043295 & -0.3544 & 0.637918 \tabularnewline
2 & -0.114353 & -0.936 & 0.823687 \tabularnewline
3 & -0.29306 & -2.3988 & 0.990381 \tabularnewline
4 & -0.176523 & -1.4449 & 0.923428 \tabularnewline
5 & -0.006165 & -0.0505 & 0.520048 \tabularnewline
6 & -0.155925 & -1.2763 & 0.896872 \tabularnewline
7 & -0.10147 & -0.8306 & 0.795417 \tabularnewline
8 & 0.34386 & 2.8146 & 0.003203 \tabularnewline
9 & 0.108826 & 0.8908 & 0.188119 \tabularnewline
10 & -0.055488 & -0.4542 & 0.67442 \tabularnewline
11 & -0.276281 & -2.2615 & 0.986509 \tabularnewline
12 & -0.256777 & -2.1018 & 0.980334 \tabularnewline
13 & -0.272284 & -2.2287 & 0.985405 \tabularnewline
14 & -0.057094 & -0.4673 & 0.679111 \tabularnewline
15 & -0.121541 & -0.9949 & 0.838307 \tabularnewline
16 & -0.245748 & -2.0115 & 0.975853 \tabularnewline
17 & 0.006506 & 0.0533 & 0.478844 \tabularnewline
18 & -0.080183 & -0.6563 & 0.743068 \tabularnewline
19 & -0.036584 & -0.2994 & 0.617238 \tabularnewline
20 & 0.089821 & 0.7352 & 0.232387 \tabularnewline
21 & -0.095197 & -0.7792 & 0.780703 \tabularnewline
22 & -0.029867 & -0.2445 & 0.596193 \tabularnewline
23 & -0.139531 & -1.1421 & 0.871263 \tabularnewline
24 & -0.03793 & -0.3105 & 0.621415 \tabularnewline
25 & 0.026039 & 0.2131 & 0.415934 \tabularnewline
26 & -0.038932 & -0.3187 & 0.624517 \tabularnewline
27 & -0.144401 & -1.182 & 0.879303 \tabularnewline
28 & -0.027082 & -0.2217 & 0.58738 \tabularnewline
29 & -0.020296 & -0.1661 & 0.565721 \tabularnewline
30 & 0.030104 & 0.2464 & 0.403058 \tabularnewline
31 & -0.080734 & -0.6608 & 0.744509 \tabularnewline
32 & 0.084818 & 0.6943 & 0.244958 \tabularnewline
33 & -0.03917 & -0.3206 & 0.625252 \tabularnewline
34 & -0.027146 & -0.2222 & 0.587583 \tabularnewline
35 & -0.026592 & -0.2177 & 0.585824 \tabularnewline
36 & -0.095104 & -0.7785 & 0.780482 \tabularnewline
37 & 0.022522 & 0.1843 & 0.427149 \tabularnewline
38 & -0.103873 & -0.8502 & 0.800888 \tabularnewline
39 & -0.052221 & -0.4274 & 0.664787 \tabularnewline
40 & -0.04981 & -0.4077 & 0.657607 \tabularnewline
41 & -0.007075 & -0.0579 & 0.523005 \tabularnewline
42 & -0.004417 & -0.0362 & 0.514366 \tabularnewline
43 & -0.083952 & -0.6872 & 0.752829 \tabularnewline
44 & 0.035956 & 0.2943 & 0.384715 \tabularnewline
45 & 0.053469 & 0.4377 & 0.331518 \tabularnewline
46 & 0.070115 & 0.5739 & 0.283973 \tabularnewline
47 & -0.089511 & -0.7327 & 0.766845 \tabularnewline
48 & -0.027101 & -0.2218 & 0.587439 \tabularnewline
49 & -0.077686 & -0.6359 & 0.736493 \tabularnewline
50 & -0.028948 & -0.237 & 0.593292 \tabularnewline
51 & 0.007144 & 0.0585 & 0.476773 \tabularnewline
52 & -0.013378 & -0.1095 & 0.543435 \tabularnewline
53 & 0.042535 & 0.3482 & 0.364403 \tabularnewline
54 & 0.012124 & 0.0992 & 0.460623 \tabularnewline
55 & -0.103891 & -0.8504 & 0.80093 \tabularnewline
56 & 0.054726 & 0.448 & 0.327816 \tabularnewline
57 & -0.072008 & -0.5894 & 0.721217 \tabularnewline
58 & -0.001035 & -0.0085 & 0.503367 \tabularnewline
59 & -0.046571 & -0.3812 & 0.647871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4880&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]0[/C][C]-0.360598[/C][C]-2.9516[/C][C]0.997823[/C][/ROW]
[ROW][C]1[/C][C]-0.043295[/C][C]-0.3544[/C][C]0.637918[/C][/ROW]
[ROW][C]2[/C][C]-0.114353[/C][C]-0.936[/C][C]0.823687[/C][/ROW]
[ROW][C]3[/C][C]-0.29306[/C][C]-2.3988[/C][C]0.990381[/C][/ROW]
[ROW][C]4[/C][C]-0.176523[/C][C]-1.4449[/C][C]0.923428[/C][/ROW]
[ROW][C]5[/C][C]-0.006165[/C][C]-0.0505[/C][C]0.520048[/C][/ROW]
[ROW][C]6[/C][C]-0.155925[/C][C]-1.2763[/C][C]0.896872[/C][/ROW]
[ROW][C]7[/C][C]-0.10147[/C][C]-0.8306[/C][C]0.795417[/C][/ROW]
[ROW][C]8[/C][C]0.34386[/C][C]2.8146[/C][C]0.003203[/C][/ROW]
[ROW][C]9[/C][C]0.108826[/C][C]0.8908[/C][C]0.188119[/C][/ROW]
[ROW][C]10[/C][C]-0.055488[/C][C]-0.4542[/C][C]0.67442[/C][/ROW]
[ROW][C]11[/C][C]-0.276281[/C][C]-2.2615[/C][C]0.986509[/C][/ROW]
[ROW][C]12[/C][C]-0.256777[/C][C]-2.1018[/C][C]0.980334[/C][/ROW]
[ROW][C]13[/C][C]-0.272284[/C][C]-2.2287[/C][C]0.985405[/C][/ROW]
[ROW][C]14[/C][C]-0.057094[/C][C]-0.4673[/C][C]0.679111[/C][/ROW]
[ROW][C]15[/C][C]-0.121541[/C][C]-0.9949[/C][C]0.838307[/C][/ROW]
[ROW][C]16[/C][C]-0.245748[/C][C]-2.0115[/C][C]0.975853[/C][/ROW]
[ROW][C]17[/C][C]0.006506[/C][C]0.0533[/C][C]0.478844[/C][/ROW]
[ROW][C]18[/C][C]-0.080183[/C][C]-0.6563[/C][C]0.743068[/C][/ROW]
[ROW][C]19[/C][C]-0.036584[/C][C]-0.2994[/C][C]0.617238[/C][/ROW]
[ROW][C]20[/C][C]0.089821[/C][C]0.7352[/C][C]0.232387[/C][/ROW]
[ROW][C]21[/C][C]-0.095197[/C][C]-0.7792[/C][C]0.780703[/C][/ROW]
[ROW][C]22[/C][C]-0.029867[/C][C]-0.2445[/C][C]0.596193[/C][/ROW]
[ROW][C]23[/C][C]-0.139531[/C][C]-1.1421[/C][C]0.871263[/C][/ROW]
[ROW][C]24[/C][C]-0.03793[/C][C]-0.3105[/C][C]0.621415[/C][/ROW]
[ROW][C]25[/C][C]0.026039[/C][C]0.2131[/C][C]0.415934[/C][/ROW]
[ROW][C]26[/C][C]-0.038932[/C][C]-0.3187[/C][C]0.624517[/C][/ROW]
[ROW][C]27[/C][C]-0.144401[/C][C]-1.182[/C][C]0.879303[/C][/ROW]
[ROW][C]28[/C][C]-0.027082[/C][C]-0.2217[/C][C]0.58738[/C][/ROW]
[ROW][C]29[/C][C]-0.020296[/C][C]-0.1661[/C][C]0.565721[/C][/ROW]
[ROW][C]30[/C][C]0.030104[/C][C]0.2464[/C][C]0.403058[/C][/ROW]
[ROW][C]31[/C][C]-0.080734[/C][C]-0.6608[/C][C]0.744509[/C][/ROW]
[ROW][C]32[/C][C]0.084818[/C][C]0.6943[/C][C]0.244958[/C][/ROW]
[ROW][C]33[/C][C]-0.03917[/C][C]-0.3206[/C][C]0.625252[/C][/ROW]
[ROW][C]34[/C][C]-0.027146[/C][C]-0.2222[/C][C]0.587583[/C][/ROW]
[ROW][C]35[/C][C]-0.026592[/C][C]-0.2177[/C][C]0.585824[/C][/ROW]
[ROW][C]36[/C][C]-0.095104[/C][C]-0.7785[/C][C]0.780482[/C][/ROW]
[ROW][C]37[/C][C]0.022522[/C][C]0.1843[/C][C]0.427149[/C][/ROW]
[ROW][C]38[/C][C]-0.103873[/C][C]-0.8502[/C][C]0.800888[/C][/ROW]
[ROW][C]39[/C][C]-0.052221[/C][C]-0.4274[/C][C]0.664787[/C][/ROW]
[ROW][C]40[/C][C]-0.04981[/C][C]-0.4077[/C][C]0.657607[/C][/ROW]
[ROW][C]41[/C][C]-0.007075[/C][C]-0.0579[/C][C]0.523005[/C][/ROW]
[ROW][C]42[/C][C]-0.004417[/C][C]-0.0362[/C][C]0.514366[/C][/ROW]
[ROW][C]43[/C][C]-0.083952[/C][C]-0.6872[/C][C]0.752829[/C][/ROW]
[ROW][C]44[/C][C]0.035956[/C][C]0.2943[/C][C]0.384715[/C][/ROW]
[ROW][C]45[/C][C]0.053469[/C][C]0.4377[/C][C]0.331518[/C][/ROW]
[ROW][C]46[/C][C]0.070115[/C][C]0.5739[/C][C]0.283973[/C][/ROW]
[ROW][C]47[/C][C]-0.089511[/C][C]-0.7327[/C][C]0.766845[/C][/ROW]
[ROW][C]48[/C][C]-0.027101[/C][C]-0.2218[/C][C]0.587439[/C][/ROW]
[ROW][C]49[/C][C]-0.077686[/C][C]-0.6359[/C][C]0.736493[/C][/ROW]
[ROW][C]50[/C][C]-0.028948[/C][C]-0.237[/C][C]0.593292[/C][/ROW]
[ROW][C]51[/C][C]0.007144[/C][C]0.0585[/C][C]0.476773[/C][/ROW]
[ROW][C]52[/C][C]-0.013378[/C][C]-0.1095[/C][C]0.543435[/C][/ROW]
[ROW][C]53[/C][C]0.042535[/C][C]0.3482[/C][C]0.364403[/C][/ROW]
[ROW][C]54[/C][C]0.012124[/C][C]0.0992[/C][C]0.460623[/C][/ROW]
[ROW][C]55[/C][C]-0.103891[/C][C]-0.8504[/C][C]0.80093[/C][/ROW]
[ROW][C]56[/C][C]0.054726[/C][C]0.448[/C][C]0.327816[/C][/ROW]
[ROW][C]57[/C][C]-0.072008[/C][C]-0.5894[/C][C]0.721217[/C][/ROW]
[ROW][C]58[/C][C]-0.001035[/C][C]-0.0085[/C][C]0.503367[/C][/ROW]
[ROW][C]59[/C][C]-0.046571[/C][C]-0.3812[/C][C]0.647871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4880&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4880&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
0-0.360598-2.95160.997823
1-0.043295-0.35440.637918
2-0.114353-0.9360.823687
3-0.29306-2.39880.990381
4-0.176523-1.44490.923428
5-0.006165-0.05050.520048
6-0.155925-1.27630.896872
7-0.10147-0.83060.795417
80.343862.81460.003203
90.1088260.89080.188119
10-0.055488-0.45420.67442
11-0.276281-2.26150.986509
12-0.256777-2.10180.980334
13-0.272284-2.22870.985405
14-0.057094-0.46730.679111
15-0.121541-0.99490.838307
16-0.245748-2.01150.975853
170.0065060.05330.478844
18-0.080183-0.65630.743068
19-0.036584-0.29940.617238
200.0898210.73520.232387
21-0.095197-0.77920.780703
22-0.029867-0.24450.596193
23-0.139531-1.14210.871263
24-0.03793-0.31050.621415
250.0260390.21310.415934
26-0.038932-0.31870.624517
27-0.144401-1.1820.879303
28-0.027082-0.22170.58738
29-0.020296-0.16610.565721
300.0301040.24640.403058
31-0.080734-0.66080.744509
320.0848180.69430.244958
33-0.03917-0.32060.625252
34-0.027146-0.22220.587583
35-0.026592-0.21770.585824
36-0.095104-0.77850.780482
370.0225220.18430.427149
38-0.103873-0.85020.800888
39-0.052221-0.42740.664787
40-0.04981-0.40770.657607
41-0.007075-0.05790.523005
42-0.004417-0.03620.514366
43-0.083952-0.68720.752829
440.0359560.29430.384715
450.0534690.43770.331518
460.0701150.57390.283973
47-0.089511-0.73270.766845
48-0.027101-0.22180.587439
49-0.077686-0.63590.736493
50-0.028948-0.2370.593292
510.0071440.05850.476773
52-0.013378-0.10950.543435
530.0425350.34820.364403
540.0121240.09920.460623
55-0.103891-0.85040.80093
560.0547260.4480.327816
57-0.072008-0.58940.721217
58-0.001035-0.00850.503367
59-0.046571-0.38120.647871



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')