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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 computationMon, 15 Dec 2008 12:52:36 -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/15/t1229370831bo9c7amx1ikvcxu.htm/, Retrieved Wed, 15 May 2024 16:02:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33795, Retrieved Wed, 15 May 2024 16:02:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper] [2008-12-15 19:52:36] [821c4b3d195be8e737cf8c9dc649d3cf] [Current]
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Dataseries X:
31.88
28.03
27.24
29.14
28.19
28.93
32.28
34.70
33.72
34.26
35.42
34.45
34.16
32.57
28.40
29.15
28.67
28.20
29.25
29.74
26.25
26.81
27.68
27.10
27.04
26.00
25.76
25.93
24.94
21.72
18.16
16.98
16.49
16.52
18.24
16.41
15.71
13.97
12.24
14.75
14.61
15.04
15.50
16.08
15.45
15.14
15.43
15.70
17.57
18.41
17.97
18.39
17.63
17.93
17.80
17.70
18.99
19.83
20.21
20.23
21.10
21.25
21.80
21.83
22.21
22.64
23.53
23.78
23.65
23.92
24.76
26.25
27.68
29.55
29.30
29.25
28.69
26.17
27.09
29.40
30.98
32.96
32.19
31.68
32.49
33.67
32.42
34.38
32.37
30.73
30.33
27.26
25.05
22.25
18.26
18.30




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=33795&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=33795&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33795&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
10.9596339.40240
20.9104368.92040
30.8638768.46420
40.8068327.90530
50.7606757.45310
60.7189357.04410
70.6632536.49850
80.6053175.93090
90.5527765.41610
100.4915444.81613e-06
110.4334024.24652.5e-05
120.3797433.72070.000167
130.3198953.13430.001143
140.2668972.6150.00518
150.2262552.21680.014497
160.1731291.69630.046534
170.1110331.08790.139683
180.0419830.41140.340866
19-0.029736-0.29140.385705
20-0.09439-0.92480.178687
21-0.142166-1.39290.083429
22-0.187292-1.83510.034795
23-0.230163-2.25510.013199
24-0.270402-2.64940.004715
25-0.314804-3.08440.001332
26-0.356474-3.49270.000362
27-0.392994-3.85050.000106
28-0.42827-4.19623e-05
29-0.457648-4.4841e-05
30-0.478505-4.68845e-06
31-0.493721-4.83753e-06
32-0.505022-4.94822e-06
33-0.51405-5.03661e-06
34-0.521939-5.11391e-06
35-0.530495-5.19781e-06
36-0.527545-5.16891e-06
37-0.524648-5.14051e-06
38-0.515342-5.04931e-06
39-0.499104-4.89022e-06
40-0.49347-4.8353e-06
41-0.487601-4.77753e-06
42-0.479791-4.7014e-06
43-0.469413-4.59936e-06
44-0.451085-4.41971.3e-05
45-0.425206-4.16623.4e-05
46-0.397299-3.89279.2e-05
47-0.3664-3.590.000262
48-0.33586-3.29070.000699
49-0.311689-3.05390.001462
50-0.28412-2.78380.003236
51-0.251195-2.46120.007816
52-0.217485-2.13090.017826
53-0.175811-1.72260.044091
54-0.136758-1.33990.091713
55-0.099626-0.97610.165727
56-0.059094-0.5790.281973
57-0.02305-0.22580.410903
580.0040930.04010.484046
590.033730.33050.370879
600.0670830.65730.256287

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.959633 & 9.4024 & 0 \tabularnewline
2 & 0.910436 & 8.9204 & 0 \tabularnewline
3 & 0.863876 & 8.4642 & 0 \tabularnewline
4 & 0.806832 & 7.9053 & 0 \tabularnewline
5 & 0.760675 & 7.4531 & 0 \tabularnewline
6 & 0.718935 & 7.0441 & 0 \tabularnewline
7 & 0.663253 & 6.4985 & 0 \tabularnewline
8 & 0.605317 & 5.9309 & 0 \tabularnewline
9 & 0.552776 & 5.4161 & 0 \tabularnewline
10 & 0.491544 & 4.8161 & 3e-06 \tabularnewline
11 & 0.433402 & 4.2465 & 2.5e-05 \tabularnewline
12 & 0.379743 & 3.7207 & 0.000167 \tabularnewline
13 & 0.319895 & 3.1343 & 0.001143 \tabularnewline
14 & 0.266897 & 2.615 & 0.00518 \tabularnewline
15 & 0.226255 & 2.2168 & 0.014497 \tabularnewline
16 & 0.173129 & 1.6963 & 0.046534 \tabularnewline
17 & 0.111033 & 1.0879 & 0.139683 \tabularnewline
18 & 0.041983 & 0.4114 & 0.340866 \tabularnewline
19 & -0.029736 & -0.2914 & 0.385705 \tabularnewline
20 & -0.09439 & -0.9248 & 0.178687 \tabularnewline
21 & -0.142166 & -1.3929 & 0.083429 \tabularnewline
22 & -0.187292 & -1.8351 & 0.034795 \tabularnewline
23 & -0.230163 & -2.2551 & 0.013199 \tabularnewline
24 & -0.270402 & -2.6494 & 0.004715 \tabularnewline
25 & -0.314804 & -3.0844 & 0.001332 \tabularnewline
26 & -0.356474 & -3.4927 & 0.000362 \tabularnewline
27 & -0.392994 & -3.8505 & 0.000106 \tabularnewline
28 & -0.42827 & -4.1962 & 3e-05 \tabularnewline
29 & -0.457648 & -4.484 & 1e-05 \tabularnewline
30 & -0.478505 & -4.6884 & 5e-06 \tabularnewline
31 & -0.493721 & -4.8375 & 3e-06 \tabularnewline
32 & -0.505022 & -4.9482 & 2e-06 \tabularnewline
33 & -0.51405 & -5.0366 & 1e-06 \tabularnewline
34 & -0.521939 & -5.1139 & 1e-06 \tabularnewline
35 & -0.530495 & -5.1978 & 1e-06 \tabularnewline
36 & -0.527545 & -5.1689 & 1e-06 \tabularnewline
37 & -0.524648 & -5.1405 & 1e-06 \tabularnewline
38 & -0.515342 & -5.0493 & 1e-06 \tabularnewline
39 & -0.499104 & -4.8902 & 2e-06 \tabularnewline
40 & -0.49347 & -4.835 & 3e-06 \tabularnewline
41 & -0.487601 & -4.7775 & 3e-06 \tabularnewline
42 & -0.479791 & -4.701 & 4e-06 \tabularnewline
43 & -0.469413 & -4.5993 & 6e-06 \tabularnewline
44 & -0.451085 & -4.4197 & 1.3e-05 \tabularnewline
45 & -0.425206 & -4.1662 & 3.4e-05 \tabularnewline
46 & -0.397299 & -3.8927 & 9.2e-05 \tabularnewline
47 & -0.3664 & -3.59 & 0.000262 \tabularnewline
48 & -0.33586 & -3.2907 & 0.000699 \tabularnewline
49 & -0.311689 & -3.0539 & 0.001462 \tabularnewline
50 & -0.28412 & -2.7838 & 0.003236 \tabularnewline
51 & -0.251195 & -2.4612 & 0.007816 \tabularnewline
52 & -0.217485 & -2.1309 & 0.017826 \tabularnewline
53 & -0.175811 & -1.7226 & 0.044091 \tabularnewline
54 & -0.136758 & -1.3399 & 0.091713 \tabularnewline
55 & -0.099626 & -0.9761 & 0.165727 \tabularnewline
56 & -0.059094 & -0.579 & 0.281973 \tabularnewline
57 & -0.02305 & -0.2258 & 0.410903 \tabularnewline
58 & 0.004093 & 0.0401 & 0.484046 \tabularnewline
59 & 0.03373 & 0.3305 & 0.370879 \tabularnewline
60 & 0.067083 & 0.6573 & 0.256287 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33795&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]0.959633[/C][C]9.4024[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.910436[/C][C]8.9204[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.863876[/C][C]8.4642[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.806832[/C][C]7.9053[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.760675[/C][C]7.4531[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.718935[/C][C]7.0441[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.663253[/C][C]6.4985[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.605317[/C][C]5.9309[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.552776[/C][C]5.4161[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.491544[/C][C]4.8161[/C][C]3e-06[/C][/ROW]
[ROW][C]11[/C][C]0.433402[/C][C]4.2465[/C][C]2.5e-05[/C][/ROW]
[ROW][C]12[/C][C]0.379743[/C][C]3.7207[/C][C]0.000167[/C][/ROW]
[ROW][C]13[/C][C]0.319895[/C][C]3.1343[/C][C]0.001143[/C][/ROW]
[ROW][C]14[/C][C]0.266897[/C][C]2.615[/C][C]0.00518[/C][/ROW]
[ROW][C]15[/C][C]0.226255[/C][C]2.2168[/C][C]0.014497[/C][/ROW]
[ROW][C]16[/C][C]0.173129[/C][C]1.6963[/C][C]0.046534[/C][/ROW]
[ROW][C]17[/C][C]0.111033[/C][C]1.0879[/C][C]0.139683[/C][/ROW]
[ROW][C]18[/C][C]0.041983[/C][C]0.4114[/C][C]0.340866[/C][/ROW]
[ROW][C]19[/C][C]-0.029736[/C][C]-0.2914[/C][C]0.385705[/C][/ROW]
[ROW][C]20[/C][C]-0.09439[/C][C]-0.9248[/C][C]0.178687[/C][/ROW]
[ROW][C]21[/C][C]-0.142166[/C][C]-1.3929[/C][C]0.083429[/C][/ROW]
[ROW][C]22[/C][C]-0.187292[/C][C]-1.8351[/C][C]0.034795[/C][/ROW]
[ROW][C]23[/C][C]-0.230163[/C][C]-2.2551[/C][C]0.013199[/C][/ROW]
[ROW][C]24[/C][C]-0.270402[/C][C]-2.6494[/C][C]0.004715[/C][/ROW]
[ROW][C]25[/C][C]-0.314804[/C][C]-3.0844[/C][C]0.001332[/C][/ROW]
[ROW][C]26[/C][C]-0.356474[/C][C]-3.4927[/C][C]0.000362[/C][/ROW]
[ROW][C]27[/C][C]-0.392994[/C][C]-3.8505[/C][C]0.000106[/C][/ROW]
[ROW][C]28[/C][C]-0.42827[/C][C]-4.1962[/C][C]3e-05[/C][/ROW]
[ROW][C]29[/C][C]-0.457648[/C][C]-4.484[/C][C]1e-05[/C][/ROW]
[ROW][C]30[/C][C]-0.478505[/C][C]-4.6884[/C][C]5e-06[/C][/ROW]
[ROW][C]31[/C][C]-0.493721[/C][C]-4.8375[/C][C]3e-06[/C][/ROW]
[ROW][C]32[/C][C]-0.505022[/C][C]-4.9482[/C][C]2e-06[/C][/ROW]
[ROW][C]33[/C][C]-0.51405[/C][C]-5.0366[/C][C]1e-06[/C][/ROW]
[ROW][C]34[/C][C]-0.521939[/C][C]-5.1139[/C][C]1e-06[/C][/ROW]
[ROW][C]35[/C][C]-0.530495[/C][C]-5.1978[/C][C]1e-06[/C][/ROW]
[ROW][C]36[/C][C]-0.527545[/C][C]-5.1689[/C][C]1e-06[/C][/ROW]
[ROW][C]37[/C][C]-0.524648[/C][C]-5.1405[/C][C]1e-06[/C][/ROW]
[ROW][C]38[/C][C]-0.515342[/C][C]-5.0493[/C][C]1e-06[/C][/ROW]
[ROW][C]39[/C][C]-0.499104[/C][C]-4.8902[/C][C]2e-06[/C][/ROW]
[ROW][C]40[/C][C]-0.49347[/C][C]-4.835[/C][C]3e-06[/C][/ROW]
[ROW][C]41[/C][C]-0.487601[/C][C]-4.7775[/C][C]3e-06[/C][/ROW]
[ROW][C]42[/C][C]-0.479791[/C][C]-4.701[/C][C]4e-06[/C][/ROW]
[ROW][C]43[/C][C]-0.469413[/C][C]-4.5993[/C][C]6e-06[/C][/ROW]
[ROW][C]44[/C][C]-0.451085[/C][C]-4.4197[/C][C]1.3e-05[/C][/ROW]
[ROW][C]45[/C][C]-0.425206[/C][C]-4.1662[/C][C]3.4e-05[/C][/ROW]
[ROW][C]46[/C][C]-0.397299[/C][C]-3.8927[/C][C]9.2e-05[/C][/ROW]
[ROW][C]47[/C][C]-0.3664[/C][C]-3.59[/C][C]0.000262[/C][/ROW]
[ROW][C]48[/C][C]-0.33586[/C][C]-3.2907[/C][C]0.000699[/C][/ROW]
[ROW][C]49[/C][C]-0.311689[/C][C]-3.0539[/C][C]0.001462[/C][/ROW]
[ROW][C]50[/C][C]-0.28412[/C][C]-2.7838[/C][C]0.003236[/C][/ROW]
[ROW][C]51[/C][C]-0.251195[/C][C]-2.4612[/C][C]0.007816[/C][/ROW]
[ROW][C]52[/C][C]-0.217485[/C][C]-2.1309[/C][C]0.017826[/C][/ROW]
[ROW][C]53[/C][C]-0.175811[/C][C]-1.7226[/C][C]0.044091[/C][/ROW]
[ROW][C]54[/C][C]-0.136758[/C][C]-1.3399[/C][C]0.091713[/C][/ROW]
[ROW][C]55[/C][C]-0.099626[/C][C]-0.9761[/C][C]0.165727[/C][/ROW]
[ROW][C]56[/C][C]-0.059094[/C][C]-0.579[/C][C]0.281973[/C][/ROW]
[ROW][C]57[/C][C]-0.02305[/C][C]-0.2258[/C][C]0.410903[/C][/ROW]
[ROW][C]58[/C][C]0.004093[/C][C]0.0401[/C][C]0.484046[/C][/ROW]
[ROW][C]59[/C][C]0.03373[/C][C]0.3305[/C][C]0.370879[/C][/ROW]
[ROW][C]60[/C][C]0.067083[/C][C]0.6573[/C][C]0.256287[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33795&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33795&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
10.9596339.40240
20.9104368.92040
30.8638768.46420
40.8068327.90530
50.7606757.45310
60.7189357.04410
70.6632536.49850
80.6053175.93090
90.5527765.41610
100.4915444.81613e-06
110.4334024.24652.5e-05
120.3797433.72070.000167
130.3198953.13430.001143
140.2668972.6150.00518
150.2262552.21680.014497
160.1731291.69630.046534
170.1110331.08790.139683
180.0419830.41140.340866
19-0.029736-0.29140.385705
20-0.09439-0.92480.178687
21-0.142166-1.39290.083429
22-0.187292-1.83510.034795
23-0.230163-2.25510.013199
24-0.270402-2.64940.004715
25-0.314804-3.08440.001332
26-0.356474-3.49270.000362
27-0.392994-3.85050.000106
28-0.42827-4.19623e-05
29-0.457648-4.4841e-05
30-0.478505-4.68845e-06
31-0.493721-4.83753e-06
32-0.505022-4.94822e-06
33-0.51405-5.03661e-06
34-0.521939-5.11391e-06
35-0.530495-5.19781e-06
36-0.527545-5.16891e-06
37-0.524648-5.14051e-06
38-0.515342-5.04931e-06
39-0.499104-4.89022e-06
40-0.49347-4.8353e-06
41-0.487601-4.77753e-06
42-0.479791-4.7014e-06
43-0.469413-4.59936e-06
44-0.451085-4.41971.3e-05
45-0.425206-4.16623.4e-05
46-0.397299-3.89279.2e-05
47-0.3664-3.590.000262
48-0.33586-3.29070.000699
49-0.311689-3.05390.001462
50-0.28412-2.78380.003236
51-0.251195-2.46120.007816
52-0.217485-2.13090.017826
53-0.175811-1.72260.044091
54-0.136758-1.33990.091713
55-0.099626-0.97610.165727
56-0.059094-0.5790.281973
57-0.02305-0.22580.410903
580.0040930.04010.484046
590.033730.33050.370879
600.0670830.65730.256287







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9596339.40240
2-0.132232-1.29560.09911
30.0200260.19620.422429
4-0.168621-1.65210.050887
50.1457671.42820.078237
6-0.022712-0.22250.412188
7-0.182914-1.79220.038127
8-0.060392-0.59170.277714
90.0440170.43130.333617
10-0.117492-1.15120.126259
11-0.009338-0.09150.463647
12-0.03847-0.37690.353531
13-0.057938-0.56770.28579
140.0443160.43420.332555
150.0774490.75880.224902
16-0.198565-1.94550.027318
17-0.157829-1.54640.062649
18-0.178103-1.7450.042089
190.0365050.35770.360685
20-0.013963-0.13680.445734
210.0884620.86670.194121
22-0.06383-0.62540.266595
230.0165480.16210.43577
24-0.061404-0.60160.274417
25-0.032164-0.31510.376668
26-0.05953-0.58330.280539
27-0.044519-0.43620.331837
28-0.03857-0.37790.353168
290.0325920.31930.375085
30-0.031989-0.31340.37732
310.0220730.21630.414617
32-0.040267-0.39450.347031
330.0249350.24430.403756
340.0189520.18570.426541
35-0.025454-0.24940.401792
360.0375930.36830.356719
37-0.132468-1.29790.098713
380.0155640.15250.439557
39-0.000365-0.00360.498577
40-0.154067-1.50950.067223
410.002350.0230.49084
42-0.051844-0.5080.30632
430.0816170.79970.212937
440.0332240.32550.372744
450.0016590.01630.493532
46-0.007962-0.0780.468992
47-0.000297-0.00290.498841
48-0.07308-0.7160.237854
49-0.069516-0.68110.248719
500.0262870.25760.398648
510.0219420.2150.415115
520.0544460.53350.297474
530.0612550.60020.274904
54-0.09719-0.95230.171677
550.0488170.47830.316761
560.0665770.65230.257878
57-0.001949-0.01910.492401
58-0.121805-1.19340.117818
590.0090620.08880.464719
600.0171450.1680.433474

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.959633 & 9.4024 & 0 \tabularnewline
2 & -0.132232 & -1.2956 & 0.09911 \tabularnewline
3 & 0.020026 & 0.1962 & 0.422429 \tabularnewline
4 & -0.168621 & -1.6521 & 0.050887 \tabularnewline
5 & 0.145767 & 1.4282 & 0.078237 \tabularnewline
6 & -0.022712 & -0.2225 & 0.412188 \tabularnewline
7 & -0.182914 & -1.7922 & 0.038127 \tabularnewline
8 & -0.060392 & -0.5917 & 0.277714 \tabularnewline
9 & 0.044017 & 0.4313 & 0.333617 \tabularnewline
10 & -0.117492 & -1.1512 & 0.126259 \tabularnewline
11 & -0.009338 & -0.0915 & 0.463647 \tabularnewline
12 & -0.03847 & -0.3769 & 0.353531 \tabularnewline
13 & -0.057938 & -0.5677 & 0.28579 \tabularnewline
14 & 0.044316 & 0.4342 & 0.332555 \tabularnewline
15 & 0.077449 & 0.7588 & 0.224902 \tabularnewline
16 & -0.198565 & -1.9455 & 0.027318 \tabularnewline
17 & -0.157829 & -1.5464 & 0.062649 \tabularnewline
18 & -0.178103 & -1.745 & 0.042089 \tabularnewline
19 & 0.036505 & 0.3577 & 0.360685 \tabularnewline
20 & -0.013963 & -0.1368 & 0.445734 \tabularnewline
21 & 0.088462 & 0.8667 & 0.194121 \tabularnewline
22 & -0.06383 & -0.6254 & 0.266595 \tabularnewline
23 & 0.016548 & 0.1621 & 0.43577 \tabularnewline
24 & -0.061404 & -0.6016 & 0.274417 \tabularnewline
25 & -0.032164 & -0.3151 & 0.376668 \tabularnewline
26 & -0.05953 & -0.5833 & 0.280539 \tabularnewline
27 & -0.044519 & -0.4362 & 0.331837 \tabularnewline
28 & -0.03857 & -0.3779 & 0.353168 \tabularnewline
29 & 0.032592 & 0.3193 & 0.375085 \tabularnewline
30 & -0.031989 & -0.3134 & 0.37732 \tabularnewline
31 & 0.022073 & 0.2163 & 0.414617 \tabularnewline
32 & -0.040267 & -0.3945 & 0.347031 \tabularnewline
33 & 0.024935 & 0.2443 & 0.403756 \tabularnewline
34 & 0.018952 & 0.1857 & 0.426541 \tabularnewline
35 & -0.025454 & -0.2494 & 0.401792 \tabularnewline
36 & 0.037593 & 0.3683 & 0.356719 \tabularnewline
37 & -0.132468 & -1.2979 & 0.098713 \tabularnewline
38 & 0.015564 & 0.1525 & 0.439557 \tabularnewline
39 & -0.000365 & -0.0036 & 0.498577 \tabularnewline
40 & -0.154067 & -1.5095 & 0.067223 \tabularnewline
41 & 0.00235 & 0.023 & 0.49084 \tabularnewline
42 & -0.051844 & -0.508 & 0.30632 \tabularnewline
43 & 0.081617 & 0.7997 & 0.212937 \tabularnewline
44 & 0.033224 & 0.3255 & 0.372744 \tabularnewline
45 & 0.001659 & 0.0163 & 0.493532 \tabularnewline
46 & -0.007962 & -0.078 & 0.468992 \tabularnewline
47 & -0.000297 & -0.0029 & 0.498841 \tabularnewline
48 & -0.07308 & -0.716 & 0.237854 \tabularnewline
49 & -0.069516 & -0.6811 & 0.248719 \tabularnewline
50 & 0.026287 & 0.2576 & 0.398648 \tabularnewline
51 & 0.021942 & 0.215 & 0.415115 \tabularnewline
52 & 0.054446 & 0.5335 & 0.297474 \tabularnewline
53 & 0.061255 & 0.6002 & 0.274904 \tabularnewline
54 & -0.09719 & -0.9523 & 0.171677 \tabularnewline
55 & 0.048817 & 0.4783 & 0.316761 \tabularnewline
56 & 0.066577 & 0.6523 & 0.257878 \tabularnewline
57 & -0.001949 & -0.0191 & 0.492401 \tabularnewline
58 & -0.121805 & -1.1934 & 0.117818 \tabularnewline
59 & 0.009062 & 0.0888 & 0.464719 \tabularnewline
60 & 0.017145 & 0.168 & 0.433474 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33795&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]0.959633[/C][C]9.4024[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.132232[/C][C]-1.2956[/C][C]0.09911[/C][/ROW]
[ROW][C]3[/C][C]0.020026[/C][C]0.1962[/C][C]0.422429[/C][/ROW]
[ROW][C]4[/C][C]-0.168621[/C][C]-1.6521[/C][C]0.050887[/C][/ROW]
[ROW][C]5[/C][C]0.145767[/C][C]1.4282[/C][C]0.078237[/C][/ROW]
[ROW][C]6[/C][C]-0.022712[/C][C]-0.2225[/C][C]0.412188[/C][/ROW]
[ROW][C]7[/C][C]-0.182914[/C][C]-1.7922[/C][C]0.038127[/C][/ROW]
[ROW][C]8[/C][C]-0.060392[/C][C]-0.5917[/C][C]0.277714[/C][/ROW]
[ROW][C]9[/C][C]0.044017[/C][C]0.4313[/C][C]0.333617[/C][/ROW]
[ROW][C]10[/C][C]-0.117492[/C][C]-1.1512[/C][C]0.126259[/C][/ROW]
[ROW][C]11[/C][C]-0.009338[/C][C]-0.0915[/C][C]0.463647[/C][/ROW]
[ROW][C]12[/C][C]-0.03847[/C][C]-0.3769[/C][C]0.353531[/C][/ROW]
[ROW][C]13[/C][C]-0.057938[/C][C]-0.5677[/C][C]0.28579[/C][/ROW]
[ROW][C]14[/C][C]0.044316[/C][C]0.4342[/C][C]0.332555[/C][/ROW]
[ROW][C]15[/C][C]0.077449[/C][C]0.7588[/C][C]0.224902[/C][/ROW]
[ROW][C]16[/C][C]-0.198565[/C][C]-1.9455[/C][C]0.027318[/C][/ROW]
[ROW][C]17[/C][C]-0.157829[/C][C]-1.5464[/C][C]0.062649[/C][/ROW]
[ROW][C]18[/C][C]-0.178103[/C][C]-1.745[/C][C]0.042089[/C][/ROW]
[ROW][C]19[/C][C]0.036505[/C][C]0.3577[/C][C]0.360685[/C][/ROW]
[ROW][C]20[/C][C]-0.013963[/C][C]-0.1368[/C][C]0.445734[/C][/ROW]
[ROW][C]21[/C][C]0.088462[/C][C]0.8667[/C][C]0.194121[/C][/ROW]
[ROW][C]22[/C][C]-0.06383[/C][C]-0.6254[/C][C]0.266595[/C][/ROW]
[ROW][C]23[/C][C]0.016548[/C][C]0.1621[/C][C]0.43577[/C][/ROW]
[ROW][C]24[/C][C]-0.061404[/C][C]-0.6016[/C][C]0.274417[/C][/ROW]
[ROW][C]25[/C][C]-0.032164[/C][C]-0.3151[/C][C]0.376668[/C][/ROW]
[ROW][C]26[/C][C]-0.05953[/C][C]-0.5833[/C][C]0.280539[/C][/ROW]
[ROW][C]27[/C][C]-0.044519[/C][C]-0.4362[/C][C]0.331837[/C][/ROW]
[ROW][C]28[/C][C]-0.03857[/C][C]-0.3779[/C][C]0.353168[/C][/ROW]
[ROW][C]29[/C][C]0.032592[/C][C]0.3193[/C][C]0.375085[/C][/ROW]
[ROW][C]30[/C][C]-0.031989[/C][C]-0.3134[/C][C]0.37732[/C][/ROW]
[ROW][C]31[/C][C]0.022073[/C][C]0.2163[/C][C]0.414617[/C][/ROW]
[ROW][C]32[/C][C]-0.040267[/C][C]-0.3945[/C][C]0.347031[/C][/ROW]
[ROW][C]33[/C][C]0.024935[/C][C]0.2443[/C][C]0.403756[/C][/ROW]
[ROW][C]34[/C][C]0.018952[/C][C]0.1857[/C][C]0.426541[/C][/ROW]
[ROW][C]35[/C][C]-0.025454[/C][C]-0.2494[/C][C]0.401792[/C][/ROW]
[ROW][C]36[/C][C]0.037593[/C][C]0.3683[/C][C]0.356719[/C][/ROW]
[ROW][C]37[/C][C]-0.132468[/C][C]-1.2979[/C][C]0.098713[/C][/ROW]
[ROW][C]38[/C][C]0.015564[/C][C]0.1525[/C][C]0.439557[/C][/ROW]
[ROW][C]39[/C][C]-0.000365[/C][C]-0.0036[/C][C]0.498577[/C][/ROW]
[ROW][C]40[/C][C]-0.154067[/C][C]-1.5095[/C][C]0.067223[/C][/ROW]
[ROW][C]41[/C][C]0.00235[/C][C]0.023[/C][C]0.49084[/C][/ROW]
[ROW][C]42[/C][C]-0.051844[/C][C]-0.508[/C][C]0.30632[/C][/ROW]
[ROW][C]43[/C][C]0.081617[/C][C]0.7997[/C][C]0.212937[/C][/ROW]
[ROW][C]44[/C][C]0.033224[/C][C]0.3255[/C][C]0.372744[/C][/ROW]
[ROW][C]45[/C][C]0.001659[/C][C]0.0163[/C][C]0.493532[/C][/ROW]
[ROW][C]46[/C][C]-0.007962[/C][C]-0.078[/C][C]0.468992[/C][/ROW]
[ROW][C]47[/C][C]-0.000297[/C][C]-0.0029[/C][C]0.498841[/C][/ROW]
[ROW][C]48[/C][C]-0.07308[/C][C]-0.716[/C][C]0.237854[/C][/ROW]
[ROW][C]49[/C][C]-0.069516[/C][C]-0.6811[/C][C]0.248719[/C][/ROW]
[ROW][C]50[/C][C]0.026287[/C][C]0.2576[/C][C]0.398648[/C][/ROW]
[ROW][C]51[/C][C]0.021942[/C][C]0.215[/C][C]0.415115[/C][/ROW]
[ROW][C]52[/C][C]0.054446[/C][C]0.5335[/C][C]0.297474[/C][/ROW]
[ROW][C]53[/C][C]0.061255[/C][C]0.6002[/C][C]0.274904[/C][/ROW]
[ROW][C]54[/C][C]-0.09719[/C][C]-0.9523[/C][C]0.171677[/C][/ROW]
[ROW][C]55[/C][C]0.048817[/C][C]0.4783[/C][C]0.316761[/C][/ROW]
[ROW][C]56[/C][C]0.066577[/C][C]0.6523[/C][C]0.257878[/C][/ROW]
[ROW][C]57[/C][C]-0.001949[/C][C]-0.0191[/C][C]0.492401[/C][/ROW]
[ROW][C]58[/C][C]-0.121805[/C][C]-1.1934[/C][C]0.117818[/C][/ROW]
[ROW][C]59[/C][C]0.009062[/C][C]0.0888[/C][C]0.464719[/C][/ROW]
[ROW][C]60[/C][C]0.017145[/C][C]0.168[/C][C]0.433474[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33795&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33795&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
10.9596339.40240
2-0.132232-1.29560.09911
30.0200260.19620.422429
4-0.168621-1.65210.050887
50.1457671.42820.078237
6-0.022712-0.22250.412188
7-0.182914-1.79220.038127
8-0.060392-0.59170.277714
90.0440170.43130.333617
10-0.117492-1.15120.126259
11-0.009338-0.09150.463647
12-0.03847-0.37690.353531
13-0.057938-0.56770.28579
140.0443160.43420.332555
150.0774490.75880.224902
16-0.198565-1.94550.027318
17-0.157829-1.54640.062649
18-0.178103-1.7450.042089
190.0365050.35770.360685
20-0.013963-0.13680.445734
210.0884620.86670.194121
22-0.06383-0.62540.266595
230.0165480.16210.43577
24-0.061404-0.60160.274417
25-0.032164-0.31510.376668
26-0.05953-0.58330.280539
27-0.044519-0.43620.331837
28-0.03857-0.37790.353168
290.0325920.31930.375085
30-0.031989-0.31340.37732
310.0220730.21630.414617
32-0.040267-0.39450.347031
330.0249350.24430.403756
340.0189520.18570.426541
35-0.025454-0.24940.401792
360.0375930.36830.356719
37-0.132468-1.29790.098713
380.0155640.15250.439557
39-0.000365-0.00360.498577
40-0.154067-1.50950.067223
410.002350.0230.49084
42-0.051844-0.5080.30632
430.0816170.79970.212937
440.0332240.32550.372744
450.0016590.01630.493532
46-0.007962-0.0780.468992
47-0.000297-0.00290.498841
48-0.07308-0.7160.237854
49-0.069516-0.68110.248719
500.0262870.25760.398648
510.0219420.2150.415115
520.0544460.53350.297474
530.0612550.60020.274904
54-0.09719-0.95230.171677
550.0488170.47830.316761
560.0665770.65230.257878
57-0.001949-0.01910.492401
58-0.121805-1.19340.117818
590.0090620.08880.464719
600.0171450.1680.433474



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')