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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 computationFri, 19 Dec 2008 02:46:08 -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/19/t1229680073ttmdrr5rcyrxxuz.htm/, Retrieved Wed, 15 May 2024 23:55:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35010, Retrieved Wed, 15 May 2024 23:55:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact235
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [spectrum] [2007-12-20 15:13:34] [74be16979710d4c4e7c6647856088456]
-    D  [Spectral Analysis] [werkloosheid/invoer] [2008-12-17 22:40:57] [5e74953d94072114d25d7276793b561e]
- RMP       [(Partial) Autocorrelation Function] [aangespast werklo...] [2008-12-19 09:46:08] [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=35010&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=35010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35010&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
10.5775395.29320
20.21982.01450.023578
30.1909721.75030.04186
40.079450.72820.234268
50.1287021.17960.120751
60.2527592.31660.011481
70.1176241.0780.14205
80.0668130.61240.27098
90.1070190.98080.164743
100.0391550.35890.360298
110.3421253.13560.001182
120.6009615.50790
130.2539362.32740.011176
14-0.039244-0.35970.359996
15-0.080628-0.7390.230994
16-0.147003-1.34730.090752
17-0.061085-0.55990.288534
180.0369350.33850.367911
19-0.071468-0.6550.257124
20-0.088924-0.8150.208688
21-0.097322-0.8920.187479
22-0.123686-1.13360.130094
230.1652411.51450.066832
240.3385483.10280.001305
250.0630220.57760.282538
26-0.192519-1.76450.040644
27-0.255967-2.3460.010667
28-0.285955-2.62080.005205
29-0.232136-2.12760.018152
30-0.164574-1.50830.06761
31-0.221078-2.02620.022958
32-0.237427-2.17610.01618
33-0.253248-2.32110.011354
34-0.232801-2.13370.017894
35-0.016906-0.15490.438618
360.1384791.26920.10394
37-0.041102-0.37670.35367
38-0.256328-2.34930.010578
39-0.292915-2.68460.004373
40-0.275727-2.52710.006688
41-0.208396-1.910.029774
42-0.126114-1.15590.125509
43-0.129195-1.18410.119858
44-0.159665-1.46340.073551
45-0.147845-1.3550.089522
46-0.128162-1.17460.121731
47-0.01364-0.1250.450405
480.1053190.96530.168593
49-0.01541-0.14120.444013
50-0.169539-1.55380.06199
51-0.171601-1.57280.059768
52-0.161812-1.4830.070904
53-0.118804-1.08890.139666
54-0.026267-0.24070.405172
55-0.03-0.2750.392013
56-0.056816-0.52070.301964
57-0.034437-0.31560.376538
58-0.021586-0.19780.421824
590.0595640.54590.293285
600.1521641.39460.083407

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.577539 & 5.2932 & 0 \tabularnewline
2 & 0.2198 & 2.0145 & 0.023578 \tabularnewline
3 & 0.190972 & 1.7503 & 0.04186 \tabularnewline
4 & 0.07945 & 0.7282 & 0.234268 \tabularnewline
5 & 0.128702 & 1.1796 & 0.120751 \tabularnewline
6 & 0.252759 & 2.3166 & 0.011481 \tabularnewline
7 & 0.117624 & 1.078 & 0.14205 \tabularnewline
8 & 0.066813 & 0.6124 & 0.27098 \tabularnewline
9 & 0.107019 & 0.9808 & 0.164743 \tabularnewline
10 & 0.039155 & 0.3589 & 0.360298 \tabularnewline
11 & 0.342125 & 3.1356 & 0.001182 \tabularnewline
12 & 0.600961 & 5.5079 & 0 \tabularnewline
13 & 0.253936 & 2.3274 & 0.011176 \tabularnewline
14 & -0.039244 & -0.3597 & 0.359996 \tabularnewline
15 & -0.080628 & -0.739 & 0.230994 \tabularnewline
16 & -0.147003 & -1.3473 & 0.090752 \tabularnewline
17 & -0.061085 & -0.5599 & 0.288534 \tabularnewline
18 & 0.036935 & 0.3385 & 0.367911 \tabularnewline
19 & -0.071468 & -0.655 & 0.257124 \tabularnewline
20 & -0.088924 & -0.815 & 0.208688 \tabularnewline
21 & -0.097322 & -0.892 & 0.187479 \tabularnewline
22 & -0.123686 & -1.1336 & 0.130094 \tabularnewline
23 & 0.165241 & 1.5145 & 0.066832 \tabularnewline
24 & 0.338548 & 3.1028 & 0.001305 \tabularnewline
25 & 0.063022 & 0.5776 & 0.282538 \tabularnewline
26 & -0.192519 & -1.7645 & 0.040644 \tabularnewline
27 & -0.255967 & -2.346 & 0.010667 \tabularnewline
28 & -0.285955 & -2.6208 & 0.005205 \tabularnewline
29 & -0.232136 & -2.1276 & 0.018152 \tabularnewline
30 & -0.164574 & -1.5083 & 0.06761 \tabularnewline
31 & -0.221078 & -2.0262 & 0.022958 \tabularnewline
32 & -0.237427 & -2.1761 & 0.01618 \tabularnewline
33 & -0.253248 & -2.3211 & 0.011354 \tabularnewline
34 & -0.232801 & -2.1337 & 0.017894 \tabularnewline
35 & -0.016906 & -0.1549 & 0.438618 \tabularnewline
36 & 0.138479 & 1.2692 & 0.10394 \tabularnewline
37 & -0.041102 & -0.3767 & 0.35367 \tabularnewline
38 & -0.256328 & -2.3493 & 0.010578 \tabularnewline
39 & -0.292915 & -2.6846 & 0.004373 \tabularnewline
40 & -0.275727 & -2.5271 & 0.006688 \tabularnewline
41 & -0.208396 & -1.91 & 0.029774 \tabularnewline
42 & -0.126114 & -1.1559 & 0.125509 \tabularnewline
43 & -0.129195 & -1.1841 & 0.119858 \tabularnewline
44 & -0.159665 & -1.4634 & 0.073551 \tabularnewline
45 & -0.147845 & -1.355 & 0.089522 \tabularnewline
46 & -0.128162 & -1.1746 & 0.121731 \tabularnewline
47 & -0.01364 & -0.125 & 0.450405 \tabularnewline
48 & 0.105319 & 0.9653 & 0.168593 \tabularnewline
49 & -0.01541 & -0.1412 & 0.444013 \tabularnewline
50 & -0.169539 & -1.5538 & 0.06199 \tabularnewline
51 & -0.171601 & -1.5728 & 0.059768 \tabularnewline
52 & -0.161812 & -1.483 & 0.070904 \tabularnewline
53 & -0.118804 & -1.0889 & 0.139666 \tabularnewline
54 & -0.026267 & -0.2407 & 0.405172 \tabularnewline
55 & -0.03 & -0.275 & 0.392013 \tabularnewline
56 & -0.056816 & -0.5207 & 0.301964 \tabularnewline
57 & -0.034437 & -0.3156 & 0.376538 \tabularnewline
58 & -0.021586 & -0.1978 & 0.421824 \tabularnewline
59 & 0.059564 & 0.5459 & 0.293285 \tabularnewline
60 & 0.152164 & 1.3946 & 0.083407 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35010&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]0.577539[/C][C]5.2932[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.2198[/C][C]2.0145[/C][C]0.023578[/C][/ROW]
[ROW][C]3[/C][C]0.190972[/C][C]1.7503[/C][C]0.04186[/C][/ROW]
[ROW][C]4[/C][C]0.07945[/C][C]0.7282[/C][C]0.234268[/C][/ROW]
[ROW][C]5[/C][C]0.128702[/C][C]1.1796[/C][C]0.120751[/C][/ROW]
[ROW][C]6[/C][C]0.252759[/C][C]2.3166[/C][C]0.011481[/C][/ROW]
[ROW][C]7[/C][C]0.117624[/C][C]1.078[/C][C]0.14205[/C][/ROW]
[ROW][C]8[/C][C]0.066813[/C][C]0.6124[/C][C]0.27098[/C][/ROW]
[ROW][C]9[/C][C]0.107019[/C][C]0.9808[/C][C]0.164743[/C][/ROW]
[ROW][C]10[/C][C]0.039155[/C][C]0.3589[/C][C]0.360298[/C][/ROW]
[ROW][C]11[/C][C]0.342125[/C][C]3.1356[/C][C]0.001182[/C][/ROW]
[ROW][C]12[/C][C]0.600961[/C][C]5.5079[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.253936[/C][C]2.3274[/C][C]0.011176[/C][/ROW]
[ROW][C]14[/C][C]-0.039244[/C][C]-0.3597[/C][C]0.359996[/C][/ROW]
[ROW][C]15[/C][C]-0.080628[/C][C]-0.739[/C][C]0.230994[/C][/ROW]
[ROW][C]16[/C][C]-0.147003[/C][C]-1.3473[/C][C]0.090752[/C][/ROW]
[ROW][C]17[/C][C]-0.061085[/C][C]-0.5599[/C][C]0.288534[/C][/ROW]
[ROW][C]18[/C][C]0.036935[/C][C]0.3385[/C][C]0.367911[/C][/ROW]
[ROW][C]19[/C][C]-0.071468[/C][C]-0.655[/C][C]0.257124[/C][/ROW]
[ROW][C]20[/C][C]-0.088924[/C][C]-0.815[/C][C]0.208688[/C][/ROW]
[ROW][C]21[/C][C]-0.097322[/C][C]-0.892[/C][C]0.187479[/C][/ROW]
[ROW][C]22[/C][C]-0.123686[/C][C]-1.1336[/C][C]0.130094[/C][/ROW]
[ROW][C]23[/C][C]0.165241[/C][C]1.5145[/C][C]0.066832[/C][/ROW]
[ROW][C]24[/C][C]0.338548[/C][C]3.1028[/C][C]0.001305[/C][/ROW]
[ROW][C]25[/C][C]0.063022[/C][C]0.5776[/C][C]0.282538[/C][/ROW]
[ROW][C]26[/C][C]-0.192519[/C][C]-1.7645[/C][C]0.040644[/C][/ROW]
[ROW][C]27[/C][C]-0.255967[/C][C]-2.346[/C][C]0.010667[/C][/ROW]
[ROW][C]28[/C][C]-0.285955[/C][C]-2.6208[/C][C]0.005205[/C][/ROW]
[ROW][C]29[/C][C]-0.232136[/C][C]-2.1276[/C][C]0.018152[/C][/ROW]
[ROW][C]30[/C][C]-0.164574[/C][C]-1.5083[/C][C]0.06761[/C][/ROW]
[ROW][C]31[/C][C]-0.221078[/C][C]-2.0262[/C][C]0.022958[/C][/ROW]
[ROW][C]32[/C][C]-0.237427[/C][C]-2.1761[/C][C]0.01618[/C][/ROW]
[ROW][C]33[/C][C]-0.253248[/C][C]-2.3211[/C][C]0.011354[/C][/ROW]
[ROW][C]34[/C][C]-0.232801[/C][C]-2.1337[/C][C]0.017894[/C][/ROW]
[ROW][C]35[/C][C]-0.016906[/C][C]-0.1549[/C][C]0.438618[/C][/ROW]
[ROW][C]36[/C][C]0.138479[/C][C]1.2692[/C][C]0.10394[/C][/ROW]
[ROW][C]37[/C][C]-0.041102[/C][C]-0.3767[/C][C]0.35367[/C][/ROW]
[ROW][C]38[/C][C]-0.256328[/C][C]-2.3493[/C][C]0.010578[/C][/ROW]
[ROW][C]39[/C][C]-0.292915[/C][C]-2.6846[/C][C]0.004373[/C][/ROW]
[ROW][C]40[/C][C]-0.275727[/C][C]-2.5271[/C][C]0.006688[/C][/ROW]
[ROW][C]41[/C][C]-0.208396[/C][C]-1.91[/C][C]0.029774[/C][/ROW]
[ROW][C]42[/C][C]-0.126114[/C][C]-1.1559[/C][C]0.125509[/C][/ROW]
[ROW][C]43[/C][C]-0.129195[/C][C]-1.1841[/C][C]0.119858[/C][/ROW]
[ROW][C]44[/C][C]-0.159665[/C][C]-1.4634[/C][C]0.073551[/C][/ROW]
[ROW][C]45[/C][C]-0.147845[/C][C]-1.355[/C][C]0.089522[/C][/ROW]
[ROW][C]46[/C][C]-0.128162[/C][C]-1.1746[/C][C]0.121731[/C][/ROW]
[ROW][C]47[/C][C]-0.01364[/C][C]-0.125[/C][C]0.450405[/C][/ROW]
[ROW][C]48[/C][C]0.105319[/C][C]0.9653[/C][C]0.168593[/C][/ROW]
[ROW][C]49[/C][C]-0.01541[/C][C]-0.1412[/C][C]0.444013[/C][/ROW]
[ROW][C]50[/C][C]-0.169539[/C][C]-1.5538[/C][C]0.06199[/C][/ROW]
[ROW][C]51[/C][C]-0.171601[/C][C]-1.5728[/C][C]0.059768[/C][/ROW]
[ROW][C]52[/C][C]-0.161812[/C][C]-1.483[/C][C]0.070904[/C][/ROW]
[ROW][C]53[/C][C]-0.118804[/C][C]-1.0889[/C][C]0.139666[/C][/ROW]
[ROW][C]54[/C][C]-0.026267[/C][C]-0.2407[/C][C]0.405172[/C][/ROW]
[ROW][C]55[/C][C]-0.03[/C][C]-0.275[/C][C]0.392013[/C][/ROW]
[ROW][C]56[/C][C]-0.056816[/C][C]-0.5207[/C][C]0.301964[/C][/ROW]
[ROW][C]57[/C][C]-0.034437[/C][C]-0.3156[/C][C]0.376538[/C][/ROW]
[ROW][C]58[/C][C]-0.021586[/C][C]-0.1978[/C][C]0.421824[/C][/ROW]
[ROW][C]59[/C][C]0.059564[/C][C]0.5459[/C][C]0.293285[/C][/ROW]
[ROW][C]60[/C][C]0.152164[/C][C]1.3946[/C][C]0.083407[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35010&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35010&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
10.5775395.29320
20.21982.01450.023578
30.1909721.75030.04186
40.079450.72820.234268
50.1287021.17960.120751
60.2527592.31660.011481
70.1176241.0780.14205
80.0668130.61240.27098
90.1070190.98080.164743
100.0391550.35890.360298
110.3421253.13560.001182
120.6009615.50790
130.2539362.32740.011176
14-0.039244-0.35970.359996
15-0.080628-0.7390.230994
16-0.147003-1.34730.090752
17-0.061085-0.55990.288534
180.0369350.33850.367911
19-0.071468-0.6550.257124
20-0.088924-0.8150.208688
21-0.097322-0.8920.187479
22-0.123686-1.13360.130094
230.1652411.51450.066832
240.3385483.10280.001305
250.0630220.57760.282538
26-0.192519-1.76450.040644
27-0.255967-2.3460.010667
28-0.285955-2.62080.005205
29-0.232136-2.12760.018152
30-0.164574-1.50830.06761
31-0.221078-2.02620.022958
32-0.237427-2.17610.01618
33-0.253248-2.32110.011354
34-0.232801-2.13370.017894
35-0.016906-0.15490.438618
360.1384791.26920.10394
37-0.041102-0.37670.35367
38-0.256328-2.34930.010578
39-0.292915-2.68460.004373
40-0.275727-2.52710.006688
41-0.208396-1.910.029774
42-0.126114-1.15590.125509
43-0.129195-1.18410.119858
44-0.159665-1.46340.073551
45-0.147845-1.3550.089522
46-0.128162-1.17460.121731
47-0.01364-0.1250.450405
480.1053190.96530.168593
49-0.01541-0.14120.444013
50-0.169539-1.55380.06199
51-0.171601-1.57280.059768
52-0.161812-1.4830.070904
53-0.118804-1.08890.139666
54-0.026267-0.24070.405172
55-0.03-0.2750.392013
56-0.056816-0.52070.301964
57-0.034437-0.31560.376538
58-0.021586-0.19780.421824
590.0595640.54590.293285
600.1521641.39460.083407







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5775395.29320
2-0.170683-1.56430.06075
30.2178211.99640.024567
4-0.182828-1.67560.048763
50.2849222.61140.00534
60.0415090.38040.352291
7-0.120172-1.10140.136935
80.1087440.99670.160897
9-0.029593-0.27120.393441
100.0109120.10.460289
110.5624335.15481e-06
120.0902090.82680.205353
13-0.416999-3.82190.000127
14-0.207016-1.89730.03061
15-0.024348-0.22310.411981
160.0659670.60460.273538
17-0.089755-0.82260.206527
18-0.114959-1.05360.147539
19-0.004664-0.04270.483004
20-0.016209-0.14860.441129
210.0010170.00930.496293
220.1069490.98020.164899
230.0332940.30510.380507
24-0.06088-0.5580.289173
25-0.033405-0.30620.380119
26-0.109488-1.00350.159256
27-0.006262-0.05740.477185
28-0.064972-0.59550.276562
29-0.242628-2.22370.014425
300.0032810.03010.488042
31-0.054409-0.49870.30966
32-0.035375-0.32420.373291
330.0213430.19560.422694
34-0.058858-0.53940.295504
35-0.10722-0.98270.164291
360.1108471.01590.15629
370.0499740.4580.324061
380.0422190.38690.349888
39-0.067714-0.62060.268269
40-0.014779-0.13550.446288
410.1000540.9170.180882
420.026370.24170.404807
43-0.020375-0.18670.426158
44-0.049253-0.45140.326429
45-0.000421-0.00390.498465
46-0.079865-0.7320.23311
47-0.13924-1.27620.102709
48-0.064457-0.59080.278135
490.0393860.3610.35951
500.0898430.82340.2063
51-0.026207-0.24020.405383
52-0.059038-0.54110.294937
530.0360810.33070.370853
540.0432620.39650.346369
550.040570.37180.355477
560.0060730.05570.477873
57-0.090813-0.83230.203795
580.0300850.27570.391713
590.0075820.06950.472384
60-0.045839-0.42010.337734

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.577539 & 5.2932 & 0 \tabularnewline
2 & -0.170683 & -1.5643 & 0.06075 \tabularnewline
3 & 0.217821 & 1.9964 & 0.024567 \tabularnewline
4 & -0.182828 & -1.6756 & 0.048763 \tabularnewline
5 & 0.284922 & 2.6114 & 0.00534 \tabularnewline
6 & 0.041509 & 0.3804 & 0.352291 \tabularnewline
7 & -0.120172 & -1.1014 & 0.136935 \tabularnewline
8 & 0.108744 & 0.9967 & 0.160897 \tabularnewline
9 & -0.029593 & -0.2712 & 0.393441 \tabularnewline
10 & 0.010912 & 0.1 & 0.460289 \tabularnewline
11 & 0.562433 & 5.1548 & 1e-06 \tabularnewline
12 & 0.090209 & 0.8268 & 0.205353 \tabularnewline
13 & -0.416999 & -3.8219 & 0.000127 \tabularnewline
14 & -0.207016 & -1.8973 & 0.03061 \tabularnewline
15 & -0.024348 & -0.2231 & 0.411981 \tabularnewline
16 & 0.065967 & 0.6046 & 0.273538 \tabularnewline
17 & -0.089755 & -0.8226 & 0.206527 \tabularnewline
18 & -0.114959 & -1.0536 & 0.147539 \tabularnewline
19 & -0.004664 & -0.0427 & 0.483004 \tabularnewline
20 & -0.016209 & -0.1486 & 0.441129 \tabularnewline
21 & 0.001017 & 0.0093 & 0.496293 \tabularnewline
22 & 0.106949 & 0.9802 & 0.164899 \tabularnewline
23 & 0.033294 & 0.3051 & 0.380507 \tabularnewline
24 & -0.06088 & -0.558 & 0.289173 \tabularnewline
25 & -0.033405 & -0.3062 & 0.380119 \tabularnewline
26 & -0.109488 & -1.0035 & 0.159256 \tabularnewline
27 & -0.006262 & -0.0574 & 0.477185 \tabularnewline
28 & -0.064972 & -0.5955 & 0.276562 \tabularnewline
29 & -0.242628 & -2.2237 & 0.014425 \tabularnewline
30 & 0.003281 & 0.0301 & 0.488042 \tabularnewline
31 & -0.054409 & -0.4987 & 0.30966 \tabularnewline
32 & -0.035375 & -0.3242 & 0.373291 \tabularnewline
33 & 0.021343 & 0.1956 & 0.422694 \tabularnewline
34 & -0.058858 & -0.5394 & 0.295504 \tabularnewline
35 & -0.10722 & -0.9827 & 0.164291 \tabularnewline
36 & 0.110847 & 1.0159 & 0.15629 \tabularnewline
37 & 0.049974 & 0.458 & 0.324061 \tabularnewline
38 & 0.042219 & 0.3869 & 0.349888 \tabularnewline
39 & -0.067714 & -0.6206 & 0.268269 \tabularnewline
40 & -0.014779 & -0.1355 & 0.446288 \tabularnewline
41 & 0.100054 & 0.917 & 0.180882 \tabularnewline
42 & 0.02637 & 0.2417 & 0.404807 \tabularnewline
43 & -0.020375 & -0.1867 & 0.426158 \tabularnewline
44 & -0.049253 & -0.4514 & 0.326429 \tabularnewline
45 & -0.000421 & -0.0039 & 0.498465 \tabularnewline
46 & -0.079865 & -0.732 & 0.23311 \tabularnewline
47 & -0.13924 & -1.2762 & 0.102709 \tabularnewline
48 & -0.064457 & -0.5908 & 0.278135 \tabularnewline
49 & 0.039386 & 0.361 & 0.35951 \tabularnewline
50 & 0.089843 & 0.8234 & 0.2063 \tabularnewline
51 & -0.026207 & -0.2402 & 0.405383 \tabularnewline
52 & -0.059038 & -0.5411 & 0.294937 \tabularnewline
53 & 0.036081 & 0.3307 & 0.370853 \tabularnewline
54 & 0.043262 & 0.3965 & 0.346369 \tabularnewline
55 & 0.04057 & 0.3718 & 0.355477 \tabularnewline
56 & 0.006073 & 0.0557 & 0.477873 \tabularnewline
57 & -0.090813 & -0.8323 & 0.203795 \tabularnewline
58 & 0.030085 & 0.2757 & 0.391713 \tabularnewline
59 & 0.007582 & 0.0695 & 0.472384 \tabularnewline
60 & -0.045839 & -0.4201 & 0.337734 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35010&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]0.577539[/C][C]5.2932[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.170683[/C][C]-1.5643[/C][C]0.06075[/C][/ROW]
[ROW][C]3[/C][C]0.217821[/C][C]1.9964[/C][C]0.024567[/C][/ROW]
[ROW][C]4[/C][C]-0.182828[/C][C]-1.6756[/C][C]0.048763[/C][/ROW]
[ROW][C]5[/C][C]0.284922[/C][C]2.6114[/C][C]0.00534[/C][/ROW]
[ROW][C]6[/C][C]0.041509[/C][C]0.3804[/C][C]0.352291[/C][/ROW]
[ROW][C]7[/C][C]-0.120172[/C][C]-1.1014[/C][C]0.136935[/C][/ROW]
[ROW][C]8[/C][C]0.108744[/C][C]0.9967[/C][C]0.160897[/C][/ROW]
[ROW][C]9[/C][C]-0.029593[/C][C]-0.2712[/C][C]0.393441[/C][/ROW]
[ROW][C]10[/C][C]0.010912[/C][C]0.1[/C][C]0.460289[/C][/ROW]
[ROW][C]11[/C][C]0.562433[/C][C]5.1548[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.090209[/C][C]0.8268[/C][C]0.205353[/C][/ROW]
[ROW][C]13[/C][C]-0.416999[/C][C]-3.8219[/C][C]0.000127[/C][/ROW]
[ROW][C]14[/C][C]-0.207016[/C][C]-1.8973[/C][C]0.03061[/C][/ROW]
[ROW][C]15[/C][C]-0.024348[/C][C]-0.2231[/C][C]0.411981[/C][/ROW]
[ROW][C]16[/C][C]0.065967[/C][C]0.6046[/C][C]0.273538[/C][/ROW]
[ROW][C]17[/C][C]-0.089755[/C][C]-0.8226[/C][C]0.206527[/C][/ROW]
[ROW][C]18[/C][C]-0.114959[/C][C]-1.0536[/C][C]0.147539[/C][/ROW]
[ROW][C]19[/C][C]-0.004664[/C][C]-0.0427[/C][C]0.483004[/C][/ROW]
[ROW][C]20[/C][C]-0.016209[/C][C]-0.1486[/C][C]0.441129[/C][/ROW]
[ROW][C]21[/C][C]0.001017[/C][C]0.0093[/C][C]0.496293[/C][/ROW]
[ROW][C]22[/C][C]0.106949[/C][C]0.9802[/C][C]0.164899[/C][/ROW]
[ROW][C]23[/C][C]0.033294[/C][C]0.3051[/C][C]0.380507[/C][/ROW]
[ROW][C]24[/C][C]-0.06088[/C][C]-0.558[/C][C]0.289173[/C][/ROW]
[ROW][C]25[/C][C]-0.033405[/C][C]-0.3062[/C][C]0.380119[/C][/ROW]
[ROW][C]26[/C][C]-0.109488[/C][C]-1.0035[/C][C]0.159256[/C][/ROW]
[ROW][C]27[/C][C]-0.006262[/C][C]-0.0574[/C][C]0.477185[/C][/ROW]
[ROW][C]28[/C][C]-0.064972[/C][C]-0.5955[/C][C]0.276562[/C][/ROW]
[ROW][C]29[/C][C]-0.242628[/C][C]-2.2237[/C][C]0.014425[/C][/ROW]
[ROW][C]30[/C][C]0.003281[/C][C]0.0301[/C][C]0.488042[/C][/ROW]
[ROW][C]31[/C][C]-0.054409[/C][C]-0.4987[/C][C]0.30966[/C][/ROW]
[ROW][C]32[/C][C]-0.035375[/C][C]-0.3242[/C][C]0.373291[/C][/ROW]
[ROW][C]33[/C][C]0.021343[/C][C]0.1956[/C][C]0.422694[/C][/ROW]
[ROW][C]34[/C][C]-0.058858[/C][C]-0.5394[/C][C]0.295504[/C][/ROW]
[ROW][C]35[/C][C]-0.10722[/C][C]-0.9827[/C][C]0.164291[/C][/ROW]
[ROW][C]36[/C][C]0.110847[/C][C]1.0159[/C][C]0.15629[/C][/ROW]
[ROW][C]37[/C][C]0.049974[/C][C]0.458[/C][C]0.324061[/C][/ROW]
[ROW][C]38[/C][C]0.042219[/C][C]0.3869[/C][C]0.349888[/C][/ROW]
[ROW][C]39[/C][C]-0.067714[/C][C]-0.6206[/C][C]0.268269[/C][/ROW]
[ROW][C]40[/C][C]-0.014779[/C][C]-0.1355[/C][C]0.446288[/C][/ROW]
[ROW][C]41[/C][C]0.100054[/C][C]0.917[/C][C]0.180882[/C][/ROW]
[ROW][C]42[/C][C]0.02637[/C][C]0.2417[/C][C]0.404807[/C][/ROW]
[ROW][C]43[/C][C]-0.020375[/C][C]-0.1867[/C][C]0.426158[/C][/ROW]
[ROW][C]44[/C][C]-0.049253[/C][C]-0.4514[/C][C]0.326429[/C][/ROW]
[ROW][C]45[/C][C]-0.000421[/C][C]-0.0039[/C][C]0.498465[/C][/ROW]
[ROW][C]46[/C][C]-0.079865[/C][C]-0.732[/C][C]0.23311[/C][/ROW]
[ROW][C]47[/C][C]-0.13924[/C][C]-1.2762[/C][C]0.102709[/C][/ROW]
[ROW][C]48[/C][C]-0.064457[/C][C]-0.5908[/C][C]0.278135[/C][/ROW]
[ROW][C]49[/C][C]0.039386[/C][C]0.361[/C][C]0.35951[/C][/ROW]
[ROW][C]50[/C][C]0.089843[/C][C]0.8234[/C][C]0.2063[/C][/ROW]
[ROW][C]51[/C][C]-0.026207[/C][C]-0.2402[/C][C]0.405383[/C][/ROW]
[ROW][C]52[/C][C]-0.059038[/C][C]-0.5411[/C][C]0.294937[/C][/ROW]
[ROW][C]53[/C][C]0.036081[/C][C]0.3307[/C][C]0.370853[/C][/ROW]
[ROW][C]54[/C][C]0.043262[/C][C]0.3965[/C][C]0.346369[/C][/ROW]
[ROW][C]55[/C][C]0.04057[/C][C]0.3718[/C][C]0.355477[/C][/ROW]
[ROW][C]56[/C][C]0.006073[/C][C]0.0557[/C][C]0.477873[/C][/ROW]
[ROW][C]57[/C][C]-0.090813[/C][C]-0.8323[/C][C]0.203795[/C][/ROW]
[ROW][C]58[/C][C]0.030085[/C][C]0.2757[/C][C]0.391713[/C][/ROW]
[ROW][C]59[/C][C]0.007582[/C][C]0.0695[/C][C]0.472384[/C][/ROW]
[ROW][C]60[/C][C]-0.045839[/C][C]-0.4201[/C][C]0.337734[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35010&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35010&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
10.5775395.29320
2-0.170683-1.56430.06075
30.2178211.99640.024567
4-0.182828-1.67560.048763
50.2849222.61140.00534
60.0415090.38040.352291
7-0.120172-1.10140.136935
80.1087440.99670.160897
9-0.029593-0.27120.393441
100.0109120.10.460289
110.5624335.15481e-06
120.0902090.82680.205353
13-0.416999-3.82190.000127
14-0.207016-1.89730.03061
15-0.024348-0.22310.411981
160.0659670.60460.273538
17-0.089755-0.82260.206527
18-0.114959-1.05360.147539
19-0.004664-0.04270.483004
20-0.016209-0.14860.441129
210.0010170.00930.496293
220.1069490.98020.164899
230.0332940.30510.380507
24-0.06088-0.5580.289173
25-0.033405-0.30620.380119
26-0.109488-1.00350.159256
27-0.006262-0.05740.477185
28-0.064972-0.59550.276562
29-0.242628-2.22370.014425
300.0032810.03010.488042
31-0.054409-0.49870.30966
32-0.035375-0.32420.373291
330.0213430.19560.422694
34-0.058858-0.53940.295504
35-0.10722-0.98270.164291
360.1108471.01590.15629
370.0499740.4580.324061
380.0422190.38690.349888
39-0.067714-0.62060.268269
40-0.014779-0.13550.446288
410.1000540.9170.180882
420.026370.24170.404807
43-0.020375-0.18670.426158
44-0.049253-0.45140.326429
45-0.000421-0.00390.498465
46-0.079865-0.7320.23311
47-0.13924-1.27620.102709
48-0.064457-0.59080.278135
490.0393860.3610.35951
500.0898430.82340.2063
51-0.026207-0.24020.405383
52-0.059038-0.54110.294937
530.0360810.33070.370853
540.0432620.39650.346369
550.040570.37180.355477
560.0060730.05570.477873
57-0.090813-0.83230.203795
580.0300850.27570.391713
590.0075820.06950.472384
60-0.045839-0.42010.337734



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