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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 computationSat, 20 Dec 2008 04:09:54 -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/20/t1229771452ghjdp1tqpcd7x01.htm/, Retrieved Sun, 19 May 2024 12:13:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35326, Retrieved Sun, 19 May 2024 12:13:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Paper - Autocorre...] [2008-12-20 10:51:34] [3a9fc6d5b5e0e816787b7dbace57e7cd]
-   P     [(Partial) Autocorrelation Function] [Paper - Autocorre...] [2008-12-20 11:09:54] [821c4b3d195be8e737cf8c9dc649d3cf] [Current]
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Dataseries X:
31.58
27.88
27.32
28.89
28.05
28.73
32.00
34.53
33.47
34.09
35.47
34.59
34.32
32.78
28.38
29.18
28.62
28.20
29.33
29.72
26.29
26.82
27.64
27.10
27.05
26.02
25.76
25.94
24.97
21.74
18.16
16.95
16.46
16.44
18.20
16.44
15.70
13.94
12.23
14.75
14.62
15.04
15.50
16.10
15.44
15.14
15.42
15.69
17.57
18.42
17.96
18.39
17.63
17.95
17.79
17.73
18.99
19.83
20.23
20.24
21.12
21.25
21.80
21.84
22.21
22.64
23.54
23.78
23.65
23.93
24.77
26.26
27.69
29.54
29.31
29.26
28.69
26.16
27.12
29.40
30.99
32.96
32.20
31.67
32.49
33.66
32.44
34.38
32.36
30.73
30.31
27.26
25.05
22.33
18.26
18.30
16.00
14.36
14.98
16.88
16.56
13.31
9.61
9.34
7.89
1.71
0.81
0.79




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35326&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35326&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35326&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3045553.15030.001057
20.0801220.82880.204534
30.2243992.32120.011086
40.0263810.27290.392732
50.0324660.33580.36883
60.0833590.86230.195232
70.0138360.14310.44323
80.1167881.20810.114844
90.1471251.52190.065496
100.0035320.03650.48546
110.0607240.62810.265627
120.1587261.64190.051776
130.0506090.52350.300852
140.0526090.54420.29372
150.1055261.09160.138737
160.1101681.13960.128501
170.0457060.47280.318662
18-0.05806-0.60060.274696
19-0.00371-0.03840.484728
20-0.130215-1.3470.09042
21-0.107677-1.11380.133927
22-0.100541-1.040.150341
23-0.11231-1.16170.123963
24-0.030841-0.3190.375164
25-0.077769-0.80440.211461
26-0.131304-1.35820.088625
27-0.03909-0.40430.343382
28-0.013134-0.13590.446095
29-0.056364-0.5830.280549
30-0.042617-0.44080.330113
31-0.075242-0.77830.219054
32-0.079645-0.82390.205928
33-0.057089-0.59050.278039
34-0.095596-0.98890.162482
35-0.149175-1.54310.062882
36-0.034528-0.35720.360836
37-0.051809-0.53590.296564
38-0.069024-0.7140.238393
390.0239790.2480.402288
40-0.068792-0.71160.239135
41-0.062235-0.64380.260552
42-0.056919-0.58880.278626
43-0.150389-1.55560.061373
44-0.095212-0.98490.163452
45-0.080012-0.82770.204855
46-0.063933-0.66130.254913
47-0.04504-0.46590.321119
48-0.061683-0.63810.2624
49-0.124807-1.2910.099741
50-0.070123-0.72540.234907
51-0.015245-0.15770.437497
52-0.08719-0.90190.184569
53-0.019842-0.20520.418884
54-0.041863-0.4330.332933
55-0.08006-0.82810.204715
56-0.008624-0.08920.464543
57-0.027497-0.28440.388313
58-0.034223-0.3540.362016
59-0.023101-0.2390.405797
600.0218750.22630.410711

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.304555 & 3.1503 & 0.001057 \tabularnewline
2 & 0.080122 & 0.8288 & 0.204534 \tabularnewline
3 & 0.224399 & 2.3212 & 0.011086 \tabularnewline
4 & 0.026381 & 0.2729 & 0.392732 \tabularnewline
5 & 0.032466 & 0.3358 & 0.36883 \tabularnewline
6 & 0.083359 & 0.8623 & 0.195232 \tabularnewline
7 & 0.013836 & 0.1431 & 0.44323 \tabularnewline
8 & 0.116788 & 1.2081 & 0.114844 \tabularnewline
9 & 0.147125 & 1.5219 & 0.065496 \tabularnewline
10 & 0.003532 & 0.0365 & 0.48546 \tabularnewline
11 & 0.060724 & 0.6281 & 0.265627 \tabularnewline
12 & 0.158726 & 1.6419 & 0.051776 \tabularnewline
13 & 0.050609 & 0.5235 & 0.300852 \tabularnewline
14 & 0.052609 & 0.5442 & 0.29372 \tabularnewline
15 & 0.105526 & 1.0916 & 0.138737 \tabularnewline
16 & 0.110168 & 1.1396 & 0.128501 \tabularnewline
17 & 0.045706 & 0.4728 & 0.318662 \tabularnewline
18 & -0.05806 & -0.6006 & 0.274696 \tabularnewline
19 & -0.00371 & -0.0384 & 0.484728 \tabularnewline
20 & -0.130215 & -1.347 & 0.09042 \tabularnewline
21 & -0.107677 & -1.1138 & 0.133927 \tabularnewline
22 & -0.100541 & -1.04 & 0.150341 \tabularnewline
23 & -0.11231 & -1.1617 & 0.123963 \tabularnewline
24 & -0.030841 & -0.319 & 0.375164 \tabularnewline
25 & -0.077769 & -0.8044 & 0.211461 \tabularnewline
26 & -0.131304 & -1.3582 & 0.088625 \tabularnewline
27 & -0.03909 & -0.4043 & 0.343382 \tabularnewline
28 & -0.013134 & -0.1359 & 0.446095 \tabularnewline
29 & -0.056364 & -0.583 & 0.280549 \tabularnewline
30 & -0.042617 & -0.4408 & 0.330113 \tabularnewline
31 & -0.075242 & -0.7783 & 0.219054 \tabularnewline
32 & -0.079645 & -0.8239 & 0.205928 \tabularnewline
33 & -0.057089 & -0.5905 & 0.278039 \tabularnewline
34 & -0.095596 & -0.9889 & 0.162482 \tabularnewline
35 & -0.149175 & -1.5431 & 0.062882 \tabularnewline
36 & -0.034528 & -0.3572 & 0.360836 \tabularnewline
37 & -0.051809 & -0.5359 & 0.296564 \tabularnewline
38 & -0.069024 & -0.714 & 0.238393 \tabularnewline
39 & 0.023979 & 0.248 & 0.402288 \tabularnewline
40 & -0.068792 & -0.7116 & 0.239135 \tabularnewline
41 & -0.062235 & -0.6438 & 0.260552 \tabularnewline
42 & -0.056919 & -0.5888 & 0.278626 \tabularnewline
43 & -0.150389 & -1.5556 & 0.061373 \tabularnewline
44 & -0.095212 & -0.9849 & 0.163452 \tabularnewline
45 & -0.080012 & -0.8277 & 0.204855 \tabularnewline
46 & -0.063933 & -0.6613 & 0.254913 \tabularnewline
47 & -0.04504 & -0.4659 & 0.321119 \tabularnewline
48 & -0.061683 & -0.6381 & 0.2624 \tabularnewline
49 & -0.124807 & -1.291 & 0.099741 \tabularnewline
50 & -0.070123 & -0.7254 & 0.234907 \tabularnewline
51 & -0.015245 & -0.1577 & 0.437497 \tabularnewline
52 & -0.08719 & -0.9019 & 0.184569 \tabularnewline
53 & -0.019842 & -0.2052 & 0.418884 \tabularnewline
54 & -0.041863 & -0.433 & 0.332933 \tabularnewline
55 & -0.08006 & -0.8281 & 0.204715 \tabularnewline
56 & -0.008624 & -0.0892 & 0.464543 \tabularnewline
57 & -0.027497 & -0.2844 & 0.388313 \tabularnewline
58 & -0.034223 & -0.354 & 0.362016 \tabularnewline
59 & -0.023101 & -0.239 & 0.405797 \tabularnewline
60 & 0.021875 & 0.2263 & 0.410711 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35326&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]0.304555[/C][C]3.1503[/C][C]0.001057[/C][/ROW]
[ROW][C]2[/C][C]0.080122[/C][C]0.8288[/C][C]0.204534[/C][/ROW]
[ROW][C]3[/C][C]0.224399[/C][C]2.3212[/C][C]0.011086[/C][/ROW]
[ROW][C]4[/C][C]0.026381[/C][C]0.2729[/C][C]0.392732[/C][/ROW]
[ROW][C]5[/C][C]0.032466[/C][C]0.3358[/C][C]0.36883[/C][/ROW]
[ROW][C]6[/C][C]0.083359[/C][C]0.8623[/C][C]0.195232[/C][/ROW]
[ROW][C]7[/C][C]0.013836[/C][C]0.1431[/C][C]0.44323[/C][/ROW]
[ROW][C]8[/C][C]0.116788[/C][C]1.2081[/C][C]0.114844[/C][/ROW]
[ROW][C]9[/C][C]0.147125[/C][C]1.5219[/C][C]0.065496[/C][/ROW]
[ROW][C]10[/C][C]0.003532[/C][C]0.0365[/C][C]0.48546[/C][/ROW]
[ROW][C]11[/C][C]0.060724[/C][C]0.6281[/C][C]0.265627[/C][/ROW]
[ROW][C]12[/C][C]0.158726[/C][C]1.6419[/C][C]0.051776[/C][/ROW]
[ROW][C]13[/C][C]0.050609[/C][C]0.5235[/C][C]0.300852[/C][/ROW]
[ROW][C]14[/C][C]0.052609[/C][C]0.5442[/C][C]0.29372[/C][/ROW]
[ROW][C]15[/C][C]0.105526[/C][C]1.0916[/C][C]0.138737[/C][/ROW]
[ROW][C]16[/C][C]0.110168[/C][C]1.1396[/C][C]0.128501[/C][/ROW]
[ROW][C]17[/C][C]0.045706[/C][C]0.4728[/C][C]0.318662[/C][/ROW]
[ROW][C]18[/C][C]-0.05806[/C][C]-0.6006[/C][C]0.274696[/C][/ROW]
[ROW][C]19[/C][C]-0.00371[/C][C]-0.0384[/C][C]0.484728[/C][/ROW]
[ROW][C]20[/C][C]-0.130215[/C][C]-1.347[/C][C]0.09042[/C][/ROW]
[ROW][C]21[/C][C]-0.107677[/C][C]-1.1138[/C][C]0.133927[/C][/ROW]
[ROW][C]22[/C][C]-0.100541[/C][C]-1.04[/C][C]0.150341[/C][/ROW]
[ROW][C]23[/C][C]-0.11231[/C][C]-1.1617[/C][C]0.123963[/C][/ROW]
[ROW][C]24[/C][C]-0.030841[/C][C]-0.319[/C][C]0.375164[/C][/ROW]
[ROW][C]25[/C][C]-0.077769[/C][C]-0.8044[/C][C]0.211461[/C][/ROW]
[ROW][C]26[/C][C]-0.131304[/C][C]-1.3582[/C][C]0.088625[/C][/ROW]
[ROW][C]27[/C][C]-0.03909[/C][C]-0.4043[/C][C]0.343382[/C][/ROW]
[ROW][C]28[/C][C]-0.013134[/C][C]-0.1359[/C][C]0.446095[/C][/ROW]
[ROW][C]29[/C][C]-0.056364[/C][C]-0.583[/C][C]0.280549[/C][/ROW]
[ROW][C]30[/C][C]-0.042617[/C][C]-0.4408[/C][C]0.330113[/C][/ROW]
[ROW][C]31[/C][C]-0.075242[/C][C]-0.7783[/C][C]0.219054[/C][/ROW]
[ROW][C]32[/C][C]-0.079645[/C][C]-0.8239[/C][C]0.205928[/C][/ROW]
[ROW][C]33[/C][C]-0.057089[/C][C]-0.5905[/C][C]0.278039[/C][/ROW]
[ROW][C]34[/C][C]-0.095596[/C][C]-0.9889[/C][C]0.162482[/C][/ROW]
[ROW][C]35[/C][C]-0.149175[/C][C]-1.5431[/C][C]0.062882[/C][/ROW]
[ROW][C]36[/C][C]-0.034528[/C][C]-0.3572[/C][C]0.360836[/C][/ROW]
[ROW][C]37[/C][C]-0.051809[/C][C]-0.5359[/C][C]0.296564[/C][/ROW]
[ROW][C]38[/C][C]-0.069024[/C][C]-0.714[/C][C]0.238393[/C][/ROW]
[ROW][C]39[/C][C]0.023979[/C][C]0.248[/C][C]0.402288[/C][/ROW]
[ROW][C]40[/C][C]-0.068792[/C][C]-0.7116[/C][C]0.239135[/C][/ROW]
[ROW][C]41[/C][C]-0.062235[/C][C]-0.6438[/C][C]0.260552[/C][/ROW]
[ROW][C]42[/C][C]-0.056919[/C][C]-0.5888[/C][C]0.278626[/C][/ROW]
[ROW][C]43[/C][C]-0.150389[/C][C]-1.5556[/C][C]0.061373[/C][/ROW]
[ROW][C]44[/C][C]-0.095212[/C][C]-0.9849[/C][C]0.163452[/C][/ROW]
[ROW][C]45[/C][C]-0.080012[/C][C]-0.8277[/C][C]0.204855[/C][/ROW]
[ROW][C]46[/C][C]-0.063933[/C][C]-0.6613[/C][C]0.254913[/C][/ROW]
[ROW][C]47[/C][C]-0.04504[/C][C]-0.4659[/C][C]0.321119[/C][/ROW]
[ROW][C]48[/C][C]-0.061683[/C][C]-0.6381[/C][C]0.2624[/C][/ROW]
[ROW][C]49[/C][C]-0.124807[/C][C]-1.291[/C][C]0.099741[/C][/ROW]
[ROW][C]50[/C][C]-0.070123[/C][C]-0.7254[/C][C]0.234907[/C][/ROW]
[ROW][C]51[/C][C]-0.015245[/C][C]-0.1577[/C][C]0.437497[/C][/ROW]
[ROW][C]52[/C][C]-0.08719[/C][C]-0.9019[/C][C]0.184569[/C][/ROW]
[ROW][C]53[/C][C]-0.019842[/C][C]-0.2052[/C][C]0.418884[/C][/ROW]
[ROW][C]54[/C][C]-0.041863[/C][C]-0.433[/C][C]0.332933[/C][/ROW]
[ROW][C]55[/C][C]-0.08006[/C][C]-0.8281[/C][C]0.204715[/C][/ROW]
[ROW][C]56[/C][C]-0.008624[/C][C]-0.0892[/C][C]0.464543[/C][/ROW]
[ROW][C]57[/C][C]-0.027497[/C][C]-0.2844[/C][C]0.388313[/C][/ROW]
[ROW][C]58[/C][C]-0.034223[/C][C]-0.354[/C][C]0.362016[/C][/ROW]
[ROW][C]59[/C][C]-0.023101[/C][C]-0.239[/C][C]0.405797[/C][/ROW]
[ROW][C]60[/C][C]0.021875[/C][C]0.2263[/C][C]0.410711[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35326&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35326&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
10.3045553.15030.001057
20.0801220.82880.204534
30.2243992.32120.011086
40.0263810.27290.392732
50.0324660.33580.36883
60.0833590.86230.195232
70.0138360.14310.44323
80.1167881.20810.114844
90.1471251.52190.065496
100.0035320.03650.48546
110.0607240.62810.265627
120.1587261.64190.051776
130.0506090.52350.300852
140.0526090.54420.29372
150.1055261.09160.138737
160.1101681.13960.128501
170.0457060.47280.318662
18-0.05806-0.60060.274696
19-0.00371-0.03840.484728
20-0.130215-1.3470.09042
21-0.107677-1.11380.133927
22-0.100541-1.040.150341
23-0.11231-1.16170.123963
24-0.030841-0.3190.375164
25-0.077769-0.80440.211461
26-0.131304-1.35820.088625
27-0.03909-0.40430.343382
28-0.013134-0.13590.446095
29-0.056364-0.5830.280549
30-0.042617-0.44080.330113
31-0.075242-0.77830.219054
32-0.079645-0.82390.205928
33-0.057089-0.59050.278039
34-0.095596-0.98890.162482
35-0.149175-1.54310.062882
36-0.034528-0.35720.360836
37-0.051809-0.53590.296564
38-0.069024-0.7140.238393
390.0239790.2480.402288
40-0.068792-0.71160.239135
41-0.062235-0.64380.260552
42-0.056919-0.58880.278626
43-0.150389-1.55560.061373
44-0.095212-0.98490.163452
45-0.080012-0.82770.204855
46-0.063933-0.66130.254913
47-0.04504-0.46590.321119
48-0.061683-0.63810.2624
49-0.124807-1.2910.099741
50-0.070123-0.72540.234907
51-0.015245-0.15770.437497
52-0.08719-0.90190.184569
53-0.019842-0.20520.418884
54-0.041863-0.4330.332933
55-0.08006-0.82810.204715
56-0.008624-0.08920.464543
57-0.027497-0.28440.388313
58-0.034223-0.3540.362016
59-0.023101-0.2390.405797
600.0218750.22630.410711







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3045553.15030.001057
2-0.013923-0.1440.442876
30.2247872.32520.010973
4-0.122379-1.26590.104149
50.0715540.74020.230411
60.0052940.05480.478215
70.0082590.08540.46604
80.1160431.20040.116326
90.0641220.66330.254289
10-0.059034-0.61070.271362
110.0418110.43250.333127
120.1064241.10090.136715
13-0.007456-0.07710.469334
140.0185620.1920.424048
150.0382580.39570.346539
160.0846760.87590.191526
17-0.055643-0.57560.283055
18-0.105315-1.08940.139216
190.0304760.31520.376594
20-0.205584-2.12660.017877
210.0010790.01120.495557
22-0.118303-1.22370.11187
23-0.006967-0.07210.47134
24-0.037702-0.390.34866
25-0.075892-0.7850.217083
26-0.055827-0.57750.282413
270.0024690.02550.489835
280.0175110.18110.428302
290.0124470.12880.448898
30-0.003336-0.03450.486268
31-0.058136-0.60140.274435
320.0249170.25770.398549
33-0.008272-0.08560.465986
340.0213240.22060.412922
35-0.083895-0.86780.193719
360.0845640.87470.191839
370.0061430.06350.474725
380.0088010.0910.463817
390.0827690.85620.196908
40-0.125138-1.29440.09915
410.0426130.44080.330125
42-0.108499-1.12230.132118
43-0.079149-0.81870.207383
44-0.048035-0.49690.310146
45-0.094004-0.97240.166526
460.0286590.29650.383729
47-0.05966-0.61710.269232
48-0.04037-0.41760.338543
49-0.122031-1.26230.104792
500.0279350.2890.386586
51-0.007952-0.08230.4673
52-0.037976-0.39280.347615
530.0010680.0110.495602
54-0.033507-0.34660.364786
55-0.043149-0.44630.328129
560.0370110.38280.351297
570.0408650.42270.336679
58-0.004601-0.04760.481064
590.059130.61160.271035
600.0396020.40960.341442

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.304555 & 3.1503 & 0.001057 \tabularnewline
2 & -0.013923 & -0.144 & 0.442876 \tabularnewline
3 & 0.224787 & 2.3252 & 0.010973 \tabularnewline
4 & -0.122379 & -1.2659 & 0.104149 \tabularnewline
5 & 0.071554 & 0.7402 & 0.230411 \tabularnewline
6 & 0.005294 & 0.0548 & 0.478215 \tabularnewline
7 & 0.008259 & 0.0854 & 0.46604 \tabularnewline
8 & 0.116043 & 1.2004 & 0.116326 \tabularnewline
9 & 0.064122 & 0.6633 & 0.254289 \tabularnewline
10 & -0.059034 & -0.6107 & 0.271362 \tabularnewline
11 & 0.041811 & 0.4325 & 0.333127 \tabularnewline
12 & 0.106424 & 1.1009 & 0.136715 \tabularnewline
13 & -0.007456 & -0.0771 & 0.469334 \tabularnewline
14 & 0.018562 & 0.192 & 0.424048 \tabularnewline
15 & 0.038258 & 0.3957 & 0.346539 \tabularnewline
16 & 0.084676 & 0.8759 & 0.191526 \tabularnewline
17 & -0.055643 & -0.5756 & 0.283055 \tabularnewline
18 & -0.105315 & -1.0894 & 0.139216 \tabularnewline
19 & 0.030476 & 0.3152 & 0.376594 \tabularnewline
20 & -0.205584 & -2.1266 & 0.017877 \tabularnewline
21 & 0.001079 & 0.0112 & 0.495557 \tabularnewline
22 & -0.118303 & -1.2237 & 0.11187 \tabularnewline
23 & -0.006967 & -0.0721 & 0.47134 \tabularnewline
24 & -0.037702 & -0.39 & 0.34866 \tabularnewline
25 & -0.075892 & -0.785 & 0.217083 \tabularnewline
26 & -0.055827 & -0.5775 & 0.282413 \tabularnewline
27 & 0.002469 & 0.0255 & 0.489835 \tabularnewline
28 & 0.017511 & 0.1811 & 0.428302 \tabularnewline
29 & 0.012447 & 0.1288 & 0.448898 \tabularnewline
30 & -0.003336 & -0.0345 & 0.486268 \tabularnewline
31 & -0.058136 & -0.6014 & 0.274435 \tabularnewline
32 & 0.024917 & 0.2577 & 0.398549 \tabularnewline
33 & -0.008272 & -0.0856 & 0.465986 \tabularnewline
34 & 0.021324 & 0.2206 & 0.412922 \tabularnewline
35 & -0.083895 & -0.8678 & 0.193719 \tabularnewline
36 & 0.084564 & 0.8747 & 0.191839 \tabularnewline
37 & 0.006143 & 0.0635 & 0.474725 \tabularnewline
38 & 0.008801 & 0.091 & 0.463817 \tabularnewline
39 & 0.082769 & 0.8562 & 0.196908 \tabularnewline
40 & -0.125138 & -1.2944 & 0.09915 \tabularnewline
41 & 0.042613 & 0.4408 & 0.330125 \tabularnewline
42 & -0.108499 & -1.1223 & 0.132118 \tabularnewline
43 & -0.079149 & -0.8187 & 0.207383 \tabularnewline
44 & -0.048035 & -0.4969 & 0.310146 \tabularnewline
45 & -0.094004 & -0.9724 & 0.166526 \tabularnewline
46 & 0.028659 & 0.2965 & 0.383729 \tabularnewline
47 & -0.05966 & -0.6171 & 0.269232 \tabularnewline
48 & -0.04037 & -0.4176 & 0.338543 \tabularnewline
49 & -0.122031 & -1.2623 & 0.104792 \tabularnewline
50 & 0.027935 & 0.289 & 0.386586 \tabularnewline
51 & -0.007952 & -0.0823 & 0.4673 \tabularnewline
52 & -0.037976 & -0.3928 & 0.347615 \tabularnewline
53 & 0.001068 & 0.011 & 0.495602 \tabularnewline
54 & -0.033507 & -0.3466 & 0.364786 \tabularnewline
55 & -0.043149 & -0.4463 & 0.328129 \tabularnewline
56 & 0.037011 & 0.3828 & 0.351297 \tabularnewline
57 & 0.040865 & 0.4227 & 0.336679 \tabularnewline
58 & -0.004601 & -0.0476 & 0.481064 \tabularnewline
59 & 0.05913 & 0.6116 & 0.271035 \tabularnewline
60 & 0.039602 & 0.4096 & 0.341442 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35326&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]0.304555[/C][C]3.1503[/C][C]0.001057[/C][/ROW]
[ROW][C]2[/C][C]-0.013923[/C][C]-0.144[/C][C]0.442876[/C][/ROW]
[ROW][C]3[/C][C]0.224787[/C][C]2.3252[/C][C]0.010973[/C][/ROW]
[ROW][C]4[/C][C]-0.122379[/C][C]-1.2659[/C][C]0.104149[/C][/ROW]
[ROW][C]5[/C][C]0.071554[/C][C]0.7402[/C][C]0.230411[/C][/ROW]
[ROW][C]6[/C][C]0.005294[/C][C]0.0548[/C][C]0.478215[/C][/ROW]
[ROW][C]7[/C][C]0.008259[/C][C]0.0854[/C][C]0.46604[/C][/ROW]
[ROW][C]8[/C][C]0.116043[/C][C]1.2004[/C][C]0.116326[/C][/ROW]
[ROW][C]9[/C][C]0.064122[/C][C]0.6633[/C][C]0.254289[/C][/ROW]
[ROW][C]10[/C][C]-0.059034[/C][C]-0.6107[/C][C]0.271362[/C][/ROW]
[ROW][C]11[/C][C]0.041811[/C][C]0.4325[/C][C]0.333127[/C][/ROW]
[ROW][C]12[/C][C]0.106424[/C][C]1.1009[/C][C]0.136715[/C][/ROW]
[ROW][C]13[/C][C]-0.007456[/C][C]-0.0771[/C][C]0.469334[/C][/ROW]
[ROW][C]14[/C][C]0.018562[/C][C]0.192[/C][C]0.424048[/C][/ROW]
[ROW][C]15[/C][C]0.038258[/C][C]0.3957[/C][C]0.346539[/C][/ROW]
[ROW][C]16[/C][C]0.084676[/C][C]0.8759[/C][C]0.191526[/C][/ROW]
[ROW][C]17[/C][C]-0.055643[/C][C]-0.5756[/C][C]0.283055[/C][/ROW]
[ROW][C]18[/C][C]-0.105315[/C][C]-1.0894[/C][C]0.139216[/C][/ROW]
[ROW][C]19[/C][C]0.030476[/C][C]0.3152[/C][C]0.376594[/C][/ROW]
[ROW][C]20[/C][C]-0.205584[/C][C]-2.1266[/C][C]0.017877[/C][/ROW]
[ROW][C]21[/C][C]0.001079[/C][C]0.0112[/C][C]0.495557[/C][/ROW]
[ROW][C]22[/C][C]-0.118303[/C][C]-1.2237[/C][C]0.11187[/C][/ROW]
[ROW][C]23[/C][C]-0.006967[/C][C]-0.0721[/C][C]0.47134[/C][/ROW]
[ROW][C]24[/C][C]-0.037702[/C][C]-0.39[/C][C]0.34866[/C][/ROW]
[ROW][C]25[/C][C]-0.075892[/C][C]-0.785[/C][C]0.217083[/C][/ROW]
[ROW][C]26[/C][C]-0.055827[/C][C]-0.5775[/C][C]0.282413[/C][/ROW]
[ROW][C]27[/C][C]0.002469[/C][C]0.0255[/C][C]0.489835[/C][/ROW]
[ROW][C]28[/C][C]0.017511[/C][C]0.1811[/C][C]0.428302[/C][/ROW]
[ROW][C]29[/C][C]0.012447[/C][C]0.1288[/C][C]0.448898[/C][/ROW]
[ROW][C]30[/C][C]-0.003336[/C][C]-0.0345[/C][C]0.486268[/C][/ROW]
[ROW][C]31[/C][C]-0.058136[/C][C]-0.6014[/C][C]0.274435[/C][/ROW]
[ROW][C]32[/C][C]0.024917[/C][C]0.2577[/C][C]0.398549[/C][/ROW]
[ROW][C]33[/C][C]-0.008272[/C][C]-0.0856[/C][C]0.465986[/C][/ROW]
[ROW][C]34[/C][C]0.021324[/C][C]0.2206[/C][C]0.412922[/C][/ROW]
[ROW][C]35[/C][C]-0.083895[/C][C]-0.8678[/C][C]0.193719[/C][/ROW]
[ROW][C]36[/C][C]0.084564[/C][C]0.8747[/C][C]0.191839[/C][/ROW]
[ROW][C]37[/C][C]0.006143[/C][C]0.0635[/C][C]0.474725[/C][/ROW]
[ROW][C]38[/C][C]0.008801[/C][C]0.091[/C][C]0.463817[/C][/ROW]
[ROW][C]39[/C][C]0.082769[/C][C]0.8562[/C][C]0.196908[/C][/ROW]
[ROW][C]40[/C][C]-0.125138[/C][C]-1.2944[/C][C]0.09915[/C][/ROW]
[ROW][C]41[/C][C]0.042613[/C][C]0.4408[/C][C]0.330125[/C][/ROW]
[ROW][C]42[/C][C]-0.108499[/C][C]-1.1223[/C][C]0.132118[/C][/ROW]
[ROW][C]43[/C][C]-0.079149[/C][C]-0.8187[/C][C]0.207383[/C][/ROW]
[ROW][C]44[/C][C]-0.048035[/C][C]-0.4969[/C][C]0.310146[/C][/ROW]
[ROW][C]45[/C][C]-0.094004[/C][C]-0.9724[/C][C]0.166526[/C][/ROW]
[ROW][C]46[/C][C]0.028659[/C][C]0.2965[/C][C]0.383729[/C][/ROW]
[ROW][C]47[/C][C]-0.05966[/C][C]-0.6171[/C][C]0.269232[/C][/ROW]
[ROW][C]48[/C][C]-0.04037[/C][C]-0.4176[/C][C]0.338543[/C][/ROW]
[ROW][C]49[/C][C]-0.122031[/C][C]-1.2623[/C][C]0.104792[/C][/ROW]
[ROW][C]50[/C][C]0.027935[/C][C]0.289[/C][C]0.386586[/C][/ROW]
[ROW][C]51[/C][C]-0.007952[/C][C]-0.0823[/C][C]0.4673[/C][/ROW]
[ROW][C]52[/C][C]-0.037976[/C][C]-0.3928[/C][C]0.347615[/C][/ROW]
[ROW][C]53[/C][C]0.001068[/C][C]0.011[/C][C]0.495602[/C][/ROW]
[ROW][C]54[/C][C]-0.033507[/C][C]-0.3466[/C][C]0.364786[/C][/ROW]
[ROW][C]55[/C][C]-0.043149[/C][C]-0.4463[/C][C]0.328129[/C][/ROW]
[ROW][C]56[/C][C]0.037011[/C][C]0.3828[/C][C]0.351297[/C][/ROW]
[ROW][C]57[/C][C]0.040865[/C][C]0.4227[/C][C]0.336679[/C][/ROW]
[ROW][C]58[/C][C]-0.004601[/C][C]-0.0476[/C][C]0.481064[/C][/ROW]
[ROW][C]59[/C][C]0.05913[/C][C]0.6116[/C][C]0.271035[/C][/ROW]
[ROW][C]60[/C][C]0.039602[/C][C]0.4096[/C][C]0.341442[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35326&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35326&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
10.3045553.15030.001057
2-0.013923-0.1440.442876
30.2247872.32520.010973
4-0.122379-1.26590.104149
50.0715540.74020.230411
60.0052940.05480.478215
70.0082590.08540.46604
80.1160431.20040.116326
90.0641220.66330.254289
10-0.059034-0.61070.271362
110.0418110.43250.333127
120.1064241.10090.136715
13-0.007456-0.07710.469334
140.0185620.1920.424048
150.0382580.39570.346539
160.0846760.87590.191526
17-0.055643-0.57560.283055
18-0.105315-1.08940.139216
190.0304760.31520.376594
20-0.205584-2.12660.017877
210.0010790.01120.495557
22-0.118303-1.22370.11187
23-0.006967-0.07210.47134
24-0.037702-0.390.34866
25-0.075892-0.7850.217083
26-0.055827-0.57750.282413
270.0024690.02550.489835
280.0175110.18110.428302
290.0124470.12880.448898
30-0.003336-0.03450.486268
31-0.058136-0.60140.274435
320.0249170.25770.398549
33-0.008272-0.08560.465986
340.0213240.22060.412922
35-0.083895-0.86780.193719
360.0845640.87470.191839
370.0061430.06350.474725
380.0088010.0910.463817
390.0827690.85620.196908
40-0.125138-1.29440.09915
410.0426130.44080.330125
42-0.108499-1.12230.132118
43-0.079149-0.81870.207383
44-0.048035-0.49690.310146
45-0.094004-0.97240.166526
460.0286590.29650.383729
47-0.05966-0.61710.269232
48-0.04037-0.41760.338543
49-0.122031-1.26230.104792
500.0279350.2890.386586
51-0.007952-0.08230.4673
52-0.037976-0.39280.347615
530.0010680.0110.495602
54-0.033507-0.34660.364786
55-0.043149-0.44630.328129
560.0370110.38280.351297
570.0408650.42270.336679
58-0.004601-0.04760.481064
590.059130.61160.271035
600.0396020.40960.341442



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')