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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 computationWed, 17 Dec 2008 15:27:08 -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/2008/Dec/17/t1229552919qdig7fdjaevoqad.htm/, Retrieved Sun, 19 May 2024 06:46:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34593, Retrieved Sun, 19 May 2024 06:46:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [verband tussen in...] [2008-12-17 19:43:34] [5e74953d94072114d25d7276793b561e]
- RMPD    [(Partial) Autocorrelation Function] [werkloosheid/invoer] [2008-12-17 22:27:08] [5925747fb2a6bb4cfcd8015825ee5e92] [Current]
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Dataseries X:
15.59
13.17
11.20
13.30
10.78
11.60
15.18
15.87
12.58
11.43
10.30
11.17
11.26
11.20
9.99
11.17
10.29
10.47
14.36
16.06
14.47
13.24
13.03
14.43
13.98
13.62
12.20
12.24
12.07
12.30
16.12
18.38
14.59
12.96
14.14
13.92
14.24
14.10
12.91
13.69
14.11
13.99
17.93
21.37
16.25
14.53
15.36
14.95
15.95
15.25
12.67
13.86
14.65
12.41
17.46
18.95
15.33
15.31
14.84
14.75
15.83
14.83
13.00
13.92
13.94
12.54
18.12
17.83
14.41
15.18
12.99
13.06
12.81
12.95
10.48
13.23
11.80
11.69
15.33
14.89
12.92
11.27
10.68
11.55




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34593&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34593&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34593&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.38591-3.25170.000878
20.0377070.31770.375812
30.2205921.85870.033604
4-0.188009-1.58420.058798
50.0505340.42580.335767
60.1096580.9240.179309
7-0.123483-1.04050.150822
8-0.005153-0.04340.482744
90.2710252.28370.012692
10-0.255254-2.15080.017448
110.0620790.52310.301271
12-0.007223-0.06090.475819
13-0.24838-2.09290.019967
140.1748171.4730.072581
15-0.000718-0.0060.497596
16-0.245518-2.06880.021105
170.2134161.79830.038192
180.1492271.25740.106363
19-0.217497-1.83270.035523
200.1574331.32660.094454
210.0705310.59430.277098
22-0.25683-2.16410.016912
230.3838543.23440.000926
24-0.223734-1.88520.031747
25-0.087877-0.74050.23073
260.2909362.45150.008345
27-0.177256-1.49360.069857
280.0910720.76740.222697
290.0272120.22930.409651
30-0.150414-1.26740.104574
31-0.042874-0.36130.359488
320.1072330.90360.184642
33-0.215895-1.81920.036551
340.0413260.34820.364352
350.0888970.74910.228148
36-0.110069-0.92750.178416
370.0665830.5610.288268
380.0020160.0170.493246
39-0.07117-0.59970.275312
400.0232660.1960.42257
410.043250.36440.358311
42-0.158355-1.33430.093181
430.1466651.23580.1103
440.0323720.27280.392912
45-0.109735-0.92460.179143
460.1924451.62160.054664
47-0.091869-0.77410.22072
48-0.09705-0.81780.208117
490.1391891.17280.122393
50-0.124837-1.05190.148206
51-0.052553-0.44280.32962
520.0407180.34310.366269
530.0016470.01390.494483
54-0.049213-0.41470.339814
550.0643030.54180.294818
56-0.078171-0.65870.256116
570.0245610.2070.418319
58-0.088507-0.74580.229132
59-0.020406-0.17190.431986
600.0089610.07550.470013

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.38591 & -3.2517 & 0.000878 \tabularnewline
2 & 0.037707 & 0.3177 & 0.375812 \tabularnewline
3 & 0.220592 & 1.8587 & 0.033604 \tabularnewline
4 & -0.188009 & -1.5842 & 0.058798 \tabularnewline
5 & 0.050534 & 0.4258 & 0.335767 \tabularnewline
6 & 0.109658 & 0.924 & 0.179309 \tabularnewline
7 & -0.123483 & -1.0405 & 0.150822 \tabularnewline
8 & -0.005153 & -0.0434 & 0.482744 \tabularnewline
9 & 0.271025 & 2.2837 & 0.012692 \tabularnewline
10 & -0.255254 & -2.1508 & 0.017448 \tabularnewline
11 & 0.062079 & 0.5231 & 0.301271 \tabularnewline
12 & -0.007223 & -0.0609 & 0.475819 \tabularnewline
13 & -0.24838 & -2.0929 & 0.019967 \tabularnewline
14 & 0.174817 & 1.473 & 0.072581 \tabularnewline
15 & -0.000718 & -0.006 & 0.497596 \tabularnewline
16 & -0.245518 & -2.0688 & 0.021105 \tabularnewline
17 & 0.213416 & 1.7983 & 0.038192 \tabularnewline
18 & 0.149227 & 1.2574 & 0.106363 \tabularnewline
19 & -0.217497 & -1.8327 & 0.035523 \tabularnewline
20 & 0.157433 & 1.3266 & 0.094454 \tabularnewline
21 & 0.070531 & 0.5943 & 0.277098 \tabularnewline
22 & -0.25683 & -2.1641 & 0.016912 \tabularnewline
23 & 0.383854 & 3.2344 & 0.000926 \tabularnewline
24 & -0.223734 & -1.8852 & 0.031747 \tabularnewline
25 & -0.087877 & -0.7405 & 0.23073 \tabularnewline
26 & 0.290936 & 2.4515 & 0.008345 \tabularnewline
27 & -0.177256 & -1.4936 & 0.069857 \tabularnewline
28 & 0.091072 & 0.7674 & 0.222697 \tabularnewline
29 & 0.027212 & 0.2293 & 0.409651 \tabularnewline
30 & -0.150414 & -1.2674 & 0.104574 \tabularnewline
31 & -0.042874 & -0.3613 & 0.359488 \tabularnewline
32 & 0.107233 & 0.9036 & 0.184642 \tabularnewline
33 & -0.215895 & -1.8192 & 0.036551 \tabularnewline
34 & 0.041326 & 0.3482 & 0.364352 \tabularnewline
35 & 0.088897 & 0.7491 & 0.228148 \tabularnewline
36 & -0.110069 & -0.9275 & 0.178416 \tabularnewline
37 & 0.066583 & 0.561 & 0.288268 \tabularnewline
38 & 0.002016 & 0.017 & 0.493246 \tabularnewline
39 & -0.07117 & -0.5997 & 0.275312 \tabularnewline
40 & 0.023266 & 0.196 & 0.42257 \tabularnewline
41 & 0.04325 & 0.3644 & 0.358311 \tabularnewline
42 & -0.158355 & -1.3343 & 0.093181 \tabularnewline
43 & 0.146665 & 1.2358 & 0.1103 \tabularnewline
44 & 0.032372 & 0.2728 & 0.392912 \tabularnewline
45 & -0.109735 & -0.9246 & 0.179143 \tabularnewline
46 & 0.192445 & 1.6216 & 0.054664 \tabularnewline
47 & -0.091869 & -0.7741 & 0.22072 \tabularnewline
48 & -0.09705 & -0.8178 & 0.208117 \tabularnewline
49 & 0.139189 & 1.1728 & 0.122393 \tabularnewline
50 & -0.124837 & -1.0519 & 0.148206 \tabularnewline
51 & -0.052553 & -0.4428 & 0.32962 \tabularnewline
52 & 0.040718 & 0.3431 & 0.366269 \tabularnewline
53 & 0.001647 & 0.0139 & 0.494483 \tabularnewline
54 & -0.049213 & -0.4147 & 0.339814 \tabularnewline
55 & 0.064303 & 0.5418 & 0.294818 \tabularnewline
56 & -0.078171 & -0.6587 & 0.256116 \tabularnewline
57 & 0.024561 & 0.207 & 0.418319 \tabularnewline
58 & -0.088507 & -0.7458 & 0.229132 \tabularnewline
59 & -0.020406 & -0.1719 & 0.431986 \tabularnewline
60 & 0.008961 & 0.0755 & 0.470013 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34593&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]-0.38591[/C][C]-3.2517[/C][C]0.000878[/C][/ROW]
[ROW][C]2[/C][C]0.037707[/C][C]0.3177[/C][C]0.375812[/C][/ROW]
[ROW][C]3[/C][C]0.220592[/C][C]1.8587[/C][C]0.033604[/C][/ROW]
[ROW][C]4[/C][C]-0.188009[/C][C]-1.5842[/C][C]0.058798[/C][/ROW]
[ROW][C]5[/C][C]0.050534[/C][C]0.4258[/C][C]0.335767[/C][/ROW]
[ROW][C]6[/C][C]0.109658[/C][C]0.924[/C][C]0.179309[/C][/ROW]
[ROW][C]7[/C][C]-0.123483[/C][C]-1.0405[/C][C]0.150822[/C][/ROW]
[ROW][C]8[/C][C]-0.005153[/C][C]-0.0434[/C][C]0.482744[/C][/ROW]
[ROW][C]9[/C][C]0.271025[/C][C]2.2837[/C][C]0.012692[/C][/ROW]
[ROW][C]10[/C][C]-0.255254[/C][C]-2.1508[/C][C]0.017448[/C][/ROW]
[ROW][C]11[/C][C]0.062079[/C][C]0.5231[/C][C]0.301271[/C][/ROW]
[ROW][C]12[/C][C]-0.007223[/C][C]-0.0609[/C][C]0.475819[/C][/ROW]
[ROW][C]13[/C][C]-0.24838[/C][C]-2.0929[/C][C]0.019967[/C][/ROW]
[ROW][C]14[/C][C]0.174817[/C][C]1.473[/C][C]0.072581[/C][/ROW]
[ROW][C]15[/C][C]-0.000718[/C][C]-0.006[/C][C]0.497596[/C][/ROW]
[ROW][C]16[/C][C]-0.245518[/C][C]-2.0688[/C][C]0.021105[/C][/ROW]
[ROW][C]17[/C][C]0.213416[/C][C]1.7983[/C][C]0.038192[/C][/ROW]
[ROW][C]18[/C][C]0.149227[/C][C]1.2574[/C][C]0.106363[/C][/ROW]
[ROW][C]19[/C][C]-0.217497[/C][C]-1.8327[/C][C]0.035523[/C][/ROW]
[ROW][C]20[/C][C]0.157433[/C][C]1.3266[/C][C]0.094454[/C][/ROW]
[ROW][C]21[/C][C]0.070531[/C][C]0.5943[/C][C]0.277098[/C][/ROW]
[ROW][C]22[/C][C]-0.25683[/C][C]-2.1641[/C][C]0.016912[/C][/ROW]
[ROW][C]23[/C][C]0.383854[/C][C]3.2344[/C][C]0.000926[/C][/ROW]
[ROW][C]24[/C][C]-0.223734[/C][C]-1.8852[/C][C]0.031747[/C][/ROW]
[ROW][C]25[/C][C]-0.087877[/C][C]-0.7405[/C][C]0.23073[/C][/ROW]
[ROW][C]26[/C][C]0.290936[/C][C]2.4515[/C][C]0.008345[/C][/ROW]
[ROW][C]27[/C][C]-0.177256[/C][C]-1.4936[/C][C]0.069857[/C][/ROW]
[ROW][C]28[/C][C]0.091072[/C][C]0.7674[/C][C]0.222697[/C][/ROW]
[ROW][C]29[/C][C]0.027212[/C][C]0.2293[/C][C]0.409651[/C][/ROW]
[ROW][C]30[/C][C]-0.150414[/C][C]-1.2674[/C][C]0.104574[/C][/ROW]
[ROW][C]31[/C][C]-0.042874[/C][C]-0.3613[/C][C]0.359488[/C][/ROW]
[ROW][C]32[/C][C]0.107233[/C][C]0.9036[/C][C]0.184642[/C][/ROW]
[ROW][C]33[/C][C]-0.215895[/C][C]-1.8192[/C][C]0.036551[/C][/ROW]
[ROW][C]34[/C][C]0.041326[/C][C]0.3482[/C][C]0.364352[/C][/ROW]
[ROW][C]35[/C][C]0.088897[/C][C]0.7491[/C][C]0.228148[/C][/ROW]
[ROW][C]36[/C][C]-0.110069[/C][C]-0.9275[/C][C]0.178416[/C][/ROW]
[ROW][C]37[/C][C]0.066583[/C][C]0.561[/C][C]0.288268[/C][/ROW]
[ROW][C]38[/C][C]0.002016[/C][C]0.017[/C][C]0.493246[/C][/ROW]
[ROW][C]39[/C][C]-0.07117[/C][C]-0.5997[/C][C]0.275312[/C][/ROW]
[ROW][C]40[/C][C]0.023266[/C][C]0.196[/C][C]0.42257[/C][/ROW]
[ROW][C]41[/C][C]0.04325[/C][C]0.3644[/C][C]0.358311[/C][/ROW]
[ROW][C]42[/C][C]-0.158355[/C][C]-1.3343[/C][C]0.093181[/C][/ROW]
[ROW][C]43[/C][C]0.146665[/C][C]1.2358[/C][C]0.1103[/C][/ROW]
[ROW][C]44[/C][C]0.032372[/C][C]0.2728[/C][C]0.392912[/C][/ROW]
[ROW][C]45[/C][C]-0.109735[/C][C]-0.9246[/C][C]0.179143[/C][/ROW]
[ROW][C]46[/C][C]0.192445[/C][C]1.6216[/C][C]0.054664[/C][/ROW]
[ROW][C]47[/C][C]-0.091869[/C][C]-0.7741[/C][C]0.22072[/C][/ROW]
[ROW][C]48[/C][C]-0.09705[/C][C]-0.8178[/C][C]0.208117[/C][/ROW]
[ROW][C]49[/C][C]0.139189[/C][C]1.1728[/C][C]0.122393[/C][/ROW]
[ROW][C]50[/C][C]-0.124837[/C][C]-1.0519[/C][C]0.148206[/C][/ROW]
[ROW][C]51[/C][C]-0.052553[/C][C]-0.4428[/C][C]0.32962[/C][/ROW]
[ROW][C]52[/C][C]0.040718[/C][C]0.3431[/C][C]0.366269[/C][/ROW]
[ROW][C]53[/C][C]0.001647[/C][C]0.0139[/C][C]0.494483[/C][/ROW]
[ROW][C]54[/C][C]-0.049213[/C][C]-0.4147[/C][C]0.339814[/C][/ROW]
[ROW][C]55[/C][C]0.064303[/C][C]0.5418[/C][C]0.294818[/C][/ROW]
[ROW][C]56[/C][C]-0.078171[/C][C]-0.6587[/C][C]0.256116[/C][/ROW]
[ROW][C]57[/C][C]0.024561[/C][C]0.207[/C][C]0.418319[/C][/ROW]
[ROW][C]58[/C][C]-0.088507[/C][C]-0.7458[/C][C]0.229132[/C][/ROW]
[ROW][C]59[/C][C]-0.020406[/C][C]-0.1719[/C][C]0.431986[/C][/ROW]
[ROW][C]60[/C][C]0.008961[/C][C]0.0755[/C][C]0.470013[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34593&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34593&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
1-0.38591-3.25170.000878
20.0377070.31770.375812
30.2205921.85870.033604
4-0.188009-1.58420.058798
50.0505340.42580.335767
60.1096580.9240.179309
7-0.123483-1.04050.150822
8-0.005153-0.04340.482744
90.2710252.28370.012692
10-0.255254-2.15080.017448
110.0620790.52310.301271
12-0.007223-0.06090.475819
13-0.24838-2.09290.019967
140.1748171.4730.072581
15-0.000718-0.0060.497596
16-0.245518-2.06880.021105
170.2134161.79830.038192
180.1492271.25740.106363
19-0.217497-1.83270.035523
200.1574331.32660.094454
210.0705310.59430.277098
22-0.25683-2.16410.016912
230.3838543.23440.000926
24-0.223734-1.88520.031747
25-0.087877-0.74050.23073
260.2909362.45150.008345
27-0.177256-1.49360.069857
280.0910720.76740.222697
290.0272120.22930.409651
30-0.150414-1.26740.104574
31-0.042874-0.36130.359488
320.1072330.90360.184642
33-0.215895-1.81920.036551
340.0413260.34820.364352
350.0888970.74910.228148
36-0.110069-0.92750.178416
370.0665830.5610.288268
380.0020160.0170.493246
39-0.07117-0.59970.275312
400.0232660.1960.42257
410.043250.36440.358311
42-0.158355-1.33430.093181
430.1466651.23580.1103
440.0323720.27280.392912
45-0.109735-0.92460.179143
460.1924451.62160.054664
47-0.091869-0.77410.22072
48-0.09705-0.81780.208117
490.1391891.17280.122393
50-0.124837-1.05190.148206
51-0.052553-0.44280.32962
520.0407180.34310.366269
530.0016470.01390.494483
54-0.049213-0.41470.339814
550.0643030.54180.294818
56-0.078171-0.65870.256116
570.0245610.2070.418319
58-0.088507-0.74580.229132
59-0.020406-0.17190.431986
600.0089610.07550.470013







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.38591-3.25170.000878
2-0.130681-1.10110.137278
30.2230781.87970.032127
4-0.013637-0.11490.45442
5-0.039582-0.33350.369861
60.0800570.67460.251069
7-0.004631-0.0390.484492
8-0.089259-0.75210.227235
90.2544152.14370.01774
10-0.023772-0.20030.420907
11-0.089093-0.75070.227655
12-0.148782-1.25370.107039
13-0.241592-2.03570.022757
14-0.018103-0.15250.439597
150.1049630.88440.189723
16-0.150599-1.2690.104299
17-0.000275-0.00230.49908
180.3058152.57680.006025
190.1110120.93540.176375
20-0.032756-0.2760.391671
210.1961631.65290.051384
22-0.065009-0.54780.292783
230.1304631.09930.137676
24-0.134981-1.13740.129603
25-0.210253-1.77160.040374
260.0063910.05390.478602
27-0.053759-0.4530.325971
280.0664160.55960.288748
29-0.021919-0.18470.427
30-0.019416-0.16360.435254
31-0.012112-0.10210.459498
32-0.119573-1.00750.158549
33-0.001141-0.00960.496177
340.1133310.95490.171423
35-0.063883-0.53830.296031
360.002660.02240.491091
37-0.03924-0.33060.370944
38-0.048397-0.40780.342322
390.1467321.23640.110195
40-0.021794-0.18360.427411
41-0.12728-1.07250.143568
42-0.062057-0.52290.301335
430.0142680.12020.452323
44-0.037831-0.31880.37542
45-0.030942-0.26070.397529
460.0132730.11180.455631
470.0775340.65330.257832
48-0.03394-0.2860.387863
49-0.058412-0.49220.312052
500.0665920.56110.288242
51-0.03327-0.28030.390018
52-0.108913-0.91770.180936
530.0505740.42610.335647
54-0.069236-0.58340.280739
550.0017710.01490.494068
56-0.027625-0.23280.408305
57-0.005677-0.04780.480993
58-0.119875-1.01010.157941
590.0234810.19790.421864
60-0.004636-0.03910.484474

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.38591 & -3.2517 & 0.000878 \tabularnewline
2 & -0.130681 & -1.1011 & 0.137278 \tabularnewline
3 & 0.223078 & 1.8797 & 0.032127 \tabularnewline
4 & -0.013637 & -0.1149 & 0.45442 \tabularnewline
5 & -0.039582 & -0.3335 & 0.369861 \tabularnewline
6 & 0.080057 & 0.6746 & 0.251069 \tabularnewline
7 & -0.004631 & -0.039 & 0.484492 \tabularnewline
8 & -0.089259 & -0.7521 & 0.227235 \tabularnewline
9 & 0.254415 & 2.1437 & 0.01774 \tabularnewline
10 & -0.023772 & -0.2003 & 0.420907 \tabularnewline
11 & -0.089093 & -0.7507 & 0.227655 \tabularnewline
12 & -0.148782 & -1.2537 & 0.107039 \tabularnewline
13 & -0.241592 & -2.0357 & 0.022757 \tabularnewline
14 & -0.018103 & -0.1525 & 0.439597 \tabularnewline
15 & 0.104963 & 0.8844 & 0.189723 \tabularnewline
16 & -0.150599 & -1.269 & 0.104299 \tabularnewline
17 & -0.000275 & -0.0023 & 0.49908 \tabularnewline
18 & 0.305815 & 2.5768 & 0.006025 \tabularnewline
19 & 0.111012 & 0.9354 & 0.176375 \tabularnewline
20 & -0.032756 & -0.276 & 0.391671 \tabularnewline
21 & 0.196163 & 1.6529 & 0.051384 \tabularnewline
22 & -0.065009 & -0.5478 & 0.292783 \tabularnewline
23 & 0.130463 & 1.0993 & 0.137676 \tabularnewline
24 & -0.134981 & -1.1374 & 0.129603 \tabularnewline
25 & -0.210253 & -1.7716 & 0.040374 \tabularnewline
26 & 0.006391 & 0.0539 & 0.478602 \tabularnewline
27 & -0.053759 & -0.453 & 0.325971 \tabularnewline
28 & 0.066416 & 0.5596 & 0.288748 \tabularnewline
29 & -0.021919 & -0.1847 & 0.427 \tabularnewline
30 & -0.019416 & -0.1636 & 0.435254 \tabularnewline
31 & -0.012112 & -0.1021 & 0.459498 \tabularnewline
32 & -0.119573 & -1.0075 & 0.158549 \tabularnewline
33 & -0.001141 & -0.0096 & 0.496177 \tabularnewline
34 & 0.113331 & 0.9549 & 0.171423 \tabularnewline
35 & -0.063883 & -0.5383 & 0.296031 \tabularnewline
36 & 0.00266 & 0.0224 & 0.491091 \tabularnewline
37 & -0.03924 & -0.3306 & 0.370944 \tabularnewline
38 & -0.048397 & -0.4078 & 0.342322 \tabularnewline
39 & 0.146732 & 1.2364 & 0.110195 \tabularnewline
40 & -0.021794 & -0.1836 & 0.427411 \tabularnewline
41 & -0.12728 & -1.0725 & 0.143568 \tabularnewline
42 & -0.062057 & -0.5229 & 0.301335 \tabularnewline
43 & 0.014268 & 0.1202 & 0.452323 \tabularnewline
44 & -0.037831 & -0.3188 & 0.37542 \tabularnewline
45 & -0.030942 & -0.2607 & 0.397529 \tabularnewline
46 & 0.013273 & 0.1118 & 0.455631 \tabularnewline
47 & 0.077534 & 0.6533 & 0.257832 \tabularnewline
48 & -0.03394 & -0.286 & 0.387863 \tabularnewline
49 & -0.058412 & -0.4922 & 0.312052 \tabularnewline
50 & 0.066592 & 0.5611 & 0.288242 \tabularnewline
51 & -0.03327 & -0.2803 & 0.390018 \tabularnewline
52 & -0.108913 & -0.9177 & 0.180936 \tabularnewline
53 & 0.050574 & 0.4261 & 0.335647 \tabularnewline
54 & -0.069236 & -0.5834 & 0.280739 \tabularnewline
55 & 0.001771 & 0.0149 & 0.494068 \tabularnewline
56 & -0.027625 & -0.2328 & 0.408305 \tabularnewline
57 & -0.005677 & -0.0478 & 0.480993 \tabularnewline
58 & -0.119875 & -1.0101 & 0.157941 \tabularnewline
59 & 0.023481 & 0.1979 & 0.421864 \tabularnewline
60 & -0.004636 & -0.0391 & 0.484474 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34593&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]-0.38591[/C][C]-3.2517[/C][C]0.000878[/C][/ROW]
[ROW][C]2[/C][C]-0.130681[/C][C]-1.1011[/C][C]0.137278[/C][/ROW]
[ROW][C]3[/C][C]0.223078[/C][C]1.8797[/C][C]0.032127[/C][/ROW]
[ROW][C]4[/C][C]-0.013637[/C][C]-0.1149[/C][C]0.45442[/C][/ROW]
[ROW][C]5[/C][C]-0.039582[/C][C]-0.3335[/C][C]0.369861[/C][/ROW]
[ROW][C]6[/C][C]0.080057[/C][C]0.6746[/C][C]0.251069[/C][/ROW]
[ROW][C]7[/C][C]-0.004631[/C][C]-0.039[/C][C]0.484492[/C][/ROW]
[ROW][C]8[/C][C]-0.089259[/C][C]-0.7521[/C][C]0.227235[/C][/ROW]
[ROW][C]9[/C][C]0.254415[/C][C]2.1437[/C][C]0.01774[/C][/ROW]
[ROW][C]10[/C][C]-0.023772[/C][C]-0.2003[/C][C]0.420907[/C][/ROW]
[ROW][C]11[/C][C]-0.089093[/C][C]-0.7507[/C][C]0.227655[/C][/ROW]
[ROW][C]12[/C][C]-0.148782[/C][C]-1.2537[/C][C]0.107039[/C][/ROW]
[ROW][C]13[/C][C]-0.241592[/C][C]-2.0357[/C][C]0.022757[/C][/ROW]
[ROW][C]14[/C][C]-0.018103[/C][C]-0.1525[/C][C]0.439597[/C][/ROW]
[ROW][C]15[/C][C]0.104963[/C][C]0.8844[/C][C]0.189723[/C][/ROW]
[ROW][C]16[/C][C]-0.150599[/C][C]-1.269[/C][C]0.104299[/C][/ROW]
[ROW][C]17[/C][C]-0.000275[/C][C]-0.0023[/C][C]0.49908[/C][/ROW]
[ROW][C]18[/C][C]0.305815[/C][C]2.5768[/C][C]0.006025[/C][/ROW]
[ROW][C]19[/C][C]0.111012[/C][C]0.9354[/C][C]0.176375[/C][/ROW]
[ROW][C]20[/C][C]-0.032756[/C][C]-0.276[/C][C]0.391671[/C][/ROW]
[ROW][C]21[/C][C]0.196163[/C][C]1.6529[/C][C]0.051384[/C][/ROW]
[ROW][C]22[/C][C]-0.065009[/C][C]-0.5478[/C][C]0.292783[/C][/ROW]
[ROW][C]23[/C][C]0.130463[/C][C]1.0993[/C][C]0.137676[/C][/ROW]
[ROW][C]24[/C][C]-0.134981[/C][C]-1.1374[/C][C]0.129603[/C][/ROW]
[ROW][C]25[/C][C]-0.210253[/C][C]-1.7716[/C][C]0.040374[/C][/ROW]
[ROW][C]26[/C][C]0.006391[/C][C]0.0539[/C][C]0.478602[/C][/ROW]
[ROW][C]27[/C][C]-0.053759[/C][C]-0.453[/C][C]0.325971[/C][/ROW]
[ROW][C]28[/C][C]0.066416[/C][C]0.5596[/C][C]0.288748[/C][/ROW]
[ROW][C]29[/C][C]-0.021919[/C][C]-0.1847[/C][C]0.427[/C][/ROW]
[ROW][C]30[/C][C]-0.019416[/C][C]-0.1636[/C][C]0.435254[/C][/ROW]
[ROW][C]31[/C][C]-0.012112[/C][C]-0.1021[/C][C]0.459498[/C][/ROW]
[ROW][C]32[/C][C]-0.119573[/C][C]-1.0075[/C][C]0.158549[/C][/ROW]
[ROW][C]33[/C][C]-0.001141[/C][C]-0.0096[/C][C]0.496177[/C][/ROW]
[ROW][C]34[/C][C]0.113331[/C][C]0.9549[/C][C]0.171423[/C][/ROW]
[ROW][C]35[/C][C]-0.063883[/C][C]-0.5383[/C][C]0.296031[/C][/ROW]
[ROW][C]36[/C][C]0.00266[/C][C]0.0224[/C][C]0.491091[/C][/ROW]
[ROW][C]37[/C][C]-0.03924[/C][C]-0.3306[/C][C]0.370944[/C][/ROW]
[ROW][C]38[/C][C]-0.048397[/C][C]-0.4078[/C][C]0.342322[/C][/ROW]
[ROW][C]39[/C][C]0.146732[/C][C]1.2364[/C][C]0.110195[/C][/ROW]
[ROW][C]40[/C][C]-0.021794[/C][C]-0.1836[/C][C]0.427411[/C][/ROW]
[ROW][C]41[/C][C]-0.12728[/C][C]-1.0725[/C][C]0.143568[/C][/ROW]
[ROW][C]42[/C][C]-0.062057[/C][C]-0.5229[/C][C]0.301335[/C][/ROW]
[ROW][C]43[/C][C]0.014268[/C][C]0.1202[/C][C]0.452323[/C][/ROW]
[ROW][C]44[/C][C]-0.037831[/C][C]-0.3188[/C][C]0.37542[/C][/ROW]
[ROW][C]45[/C][C]-0.030942[/C][C]-0.2607[/C][C]0.397529[/C][/ROW]
[ROW][C]46[/C][C]0.013273[/C][C]0.1118[/C][C]0.455631[/C][/ROW]
[ROW][C]47[/C][C]0.077534[/C][C]0.6533[/C][C]0.257832[/C][/ROW]
[ROW][C]48[/C][C]-0.03394[/C][C]-0.286[/C][C]0.387863[/C][/ROW]
[ROW][C]49[/C][C]-0.058412[/C][C]-0.4922[/C][C]0.312052[/C][/ROW]
[ROW][C]50[/C][C]0.066592[/C][C]0.5611[/C][C]0.288242[/C][/ROW]
[ROW][C]51[/C][C]-0.03327[/C][C]-0.2803[/C][C]0.390018[/C][/ROW]
[ROW][C]52[/C][C]-0.108913[/C][C]-0.9177[/C][C]0.180936[/C][/ROW]
[ROW][C]53[/C][C]0.050574[/C][C]0.4261[/C][C]0.335647[/C][/ROW]
[ROW][C]54[/C][C]-0.069236[/C][C]-0.5834[/C][C]0.280739[/C][/ROW]
[ROW][C]55[/C][C]0.001771[/C][C]0.0149[/C][C]0.494068[/C][/ROW]
[ROW][C]56[/C][C]-0.027625[/C][C]-0.2328[/C][C]0.408305[/C][/ROW]
[ROW][C]57[/C][C]-0.005677[/C][C]-0.0478[/C][C]0.480993[/C][/ROW]
[ROW][C]58[/C][C]-0.119875[/C][C]-1.0101[/C][C]0.157941[/C][/ROW]
[ROW][C]59[/C][C]0.023481[/C][C]0.1979[/C][C]0.421864[/C][/ROW]
[ROW][C]60[/C][C]-0.004636[/C][C]-0.0391[/C][C]0.484474[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34593&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34593&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
1-0.38591-3.25170.000878
2-0.130681-1.10110.137278
30.2230781.87970.032127
4-0.013637-0.11490.45442
5-0.039582-0.33350.369861
60.0800570.67460.251069
7-0.004631-0.0390.484492
8-0.089259-0.75210.227235
90.2544152.14370.01774
10-0.023772-0.20030.420907
11-0.089093-0.75070.227655
12-0.148782-1.25370.107039
13-0.241592-2.03570.022757
14-0.018103-0.15250.439597
150.1049630.88440.189723
16-0.150599-1.2690.104299
17-0.000275-0.00230.49908
180.3058152.57680.006025
190.1110120.93540.176375
20-0.032756-0.2760.391671
210.1961631.65290.051384
22-0.065009-0.54780.292783
230.1304631.09930.137676
24-0.134981-1.13740.129603
25-0.210253-1.77160.040374
260.0063910.05390.478602
27-0.053759-0.4530.325971
280.0664160.55960.288748
29-0.021919-0.18470.427
30-0.019416-0.16360.435254
31-0.012112-0.10210.459498
32-0.119573-1.00750.158549
33-0.001141-0.00960.496177
340.1133310.95490.171423
35-0.063883-0.53830.296031
360.002660.02240.491091
37-0.03924-0.33060.370944
38-0.048397-0.40780.342322
390.1467321.23640.110195
40-0.021794-0.18360.427411
41-0.12728-1.07250.143568
42-0.062057-0.52290.301335
430.0142680.12020.452323
44-0.037831-0.31880.37542
45-0.030942-0.26070.397529
460.0132730.11180.455631
470.0775340.65330.257832
48-0.03394-0.2860.387863
49-0.058412-0.49220.312052
500.0665920.56110.288242
51-0.03327-0.28030.390018
52-0.108913-0.91770.180936
530.0505740.42610.335647
54-0.069236-0.58340.280739
550.0017710.01490.494068
56-0.027625-0.23280.408305
57-0.005677-0.04780.480993
58-0.119875-1.01010.157941
590.0234810.19790.421864
60-0.004636-0.03910.484474



Parameters (Session):
par1 = 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 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')