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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, 13 Dec 2008 06:06:03 -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/13/t1229173607ls3ji58ftab9tn9.htm/, Retrieved Sun, 19 May 2024 04:01:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33046, Retrieved Sun, 19 May 2024 04:01:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsjenske_cole@hotmail.com
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Bivariate Kernel Density Estimation] [Various EDA Topic...] [2008-11-12 13:37:39] [8094ad203a218aaca2d1cea2c78c2d6e]
F    D  [Bivariate Kernel Density Estimation] [opdracht3 blok8 q...] [2008-11-12 17:51:49] [975daa21de49eaf4d491226310243f5a]
- RMPD    [(Partial) Autocorrelation Function] [paper autocorrela...] [2008-12-13 12:15:31] [975daa21de49eaf4d491226310243f5a]
-             [(Partial) Autocorrelation Function] [paper autocorrela...] [2008-12-13 13:06:03] [120dfa2440e51a0cfc0f5296bc5d7460] [Current]
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Dataseries X:
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9
6.8
6.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33046&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33046&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33046&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4656463.86790.000123
2-0.098028-0.81430.209144
3-0.546388-4.53861.2e-05
4-0.601195-4.99392e-06
5-0.20412-1.69550.04724
60.1661611.38020.085985
70.3121562.5930.005804
80.2974692.4710.007974
90.1010870.83970.20199
10-0.082585-0.6860.247505
11-0.143481-1.19180.118703
12-0.229263-1.90440.030514
13-0.059504-0.49430.31134
140.0776530.6450.260522
150.1553581.29050.100593
160.0986140.81920.20776
17-0.075659-0.62850.265885
18-0.106422-0.8840.189881
19-0.090723-0.75360.226827
200.0895580.74390.229725
210.1492781.240.109589
220.065740.54610.293386
23-0.05183-0.43050.334074
24-0.200937-1.66910.049814
25-0.095343-0.7920.215543
260.0409440.34010.367405
270.0809960.67280.251659
28-0.003383-0.02810.488831
29-0.093009-0.77260.221201
30-0.141139-1.17240.122536
310.0817310.67890.249732
320.195911.62740.054111
330.1875651.5580.061901
340.0663750.55130.291588
35-0.140809-1.16960.123083
36-0.201986-1.67780.048953
37-0.171613-1.42550.079257
380.0006430.00530.497876
390.1034870.85960.196486
400.1734481.44080.077087
410.1515791.25910.106117
420.0381610.3170.376105
43-0.094083-0.78150.218587
44-0.192042-1.59520.057617
45-0.148398-1.23270.110937
46-0.009053-0.07520.470137
470.1192380.99050.162704
480.1518561.26140.105705
490.0992930.82480.206168
50-0.04179-0.34710.364775
51-0.086104-0.71520.238439
52-0.064597-0.53660.296641
53-0.018176-0.1510.440217
540.0509160.42290.336828
550.0144010.11960.452564
560.0005570.00460.498162
57-0.023276-0.19330.423628
58-0.021942-0.18230.427955
59-0.017017-0.14140.444002
600.0006470.00540.497865

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.465646 & 3.8679 & 0.000123 \tabularnewline
2 & -0.098028 & -0.8143 & 0.209144 \tabularnewline
3 & -0.546388 & -4.5386 & 1.2e-05 \tabularnewline
4 & -0.601195 & -4.9939 & 2e-06 \tabularnewline
5 & -0.20412 & -1.6955 & 0.04724 \tabularnewline
6 & 0.166161 & 1.3802 & 0.085985 \tabularnewline
7 & 0.312156 & 2.593 & 0.005804 \tabularnewline
8 & 0.297469 & 2.471 & 0.007974 \tabularnewline
9 & 0.101087 & 0.8397 & 0.20199 \tabularnewline
10 & -0.082585 & -0.686 & 0.247505 \tabularnewline
11 & -0.143481 & -1.1918 & 0.118703 \tabularnewline
12 & -0.229263 & -1.9044 & 0.030514 \tabularnewline
13 & -0.059504 & -0.4943 & 0.31134 \tabularnewline
14 & 0.077653 & 0.645 & 0.260522 \tabularnewline
15 & 0.155358 & 1.2905 & 0.100593 \tabularnewline
16 & 0.098614 & 0.8192 & 0.20776 \tabularnewline
17 & -0.075659 & -0.6285 & 0.265885 \tabularnewline
18 & -0.106422 & -0.884 & 0.189881 \tabularnewline
19 & -0.090723 & -0.7536 & 0.226827 \tabularnewline
20 & 0.089558 & 0.7439 & 0.229725 \tabularnewline
21 & 0.149278 & 1.24 & 0.109589 \tabularnewline
22 & 0.06574 & 0.5461 & 0.293386 \tabularnewline
23 & -0.05183 & -0.4305 & 0.334074 \tabularnewline
24 & -0.200937 & -1.6691 & 0.049814 \tabularnewline
25 & -0.095343 & -0.792 & 0.215543 \tabularnewline
26 & 0.040944 & 0.3401 & 0.367405 \tabularnewline
27 & 0.080996 & 0.6728 & 0.251659 \tabularnewline
28 & -0.003383 & -0.0281 & 0.488831 \tabularnewline
29 & -0.093009 & -0.7726 & 0.221201 \tabularnewline
30 & -0.141139 & -1.1724 & 0.122536 \tabularnewline
31 & 0.081731 & 0.6789 & 0.249732 \tabularnewline
32 & 0.19591 & 1.6274 & 0.054111 \tabularnewline
33 & 0.187565 & 1.558 & 0.061901 \tabularnewline
34 & 0.066375 & 0.5513 & 0.291588 \tabularnewline
35 & -0.140809 & -1.1696 & 0.123083 \tabularnewline
36 & -0.201986 & -1.6778 & 0.048953 \tabularnewline
37 & -0.171613 & -1.4255 & 0.079257 \tabularnewline
38 & 0.000643 & 0.0053 & 0.497876 \tabularnewline
39 & 0.103487 & 0.8596 & 0.196486 \tabularnewline
40 & 0.173448 & 1.4408 & 0.077087 \tabularnewline
41 & 0.151579 & 1.2591 & 0.106117 \tabularnewline
42 & 0.038161 & 0.317 & 0.376105 \tabularnewline
43 & -0.094083 & -0.7815 & 0.218587 \tabularnewline
44 & -0.192042 & -1.5952 & 0.057617 \tabularnewline
45 & -0.148398 & -1.2327 & 0.110937 \tabularnewline
46 & -0.009053 & -0.0752 & 0.470137 \tabularnewline
47 & 0.119238 & 0.9905 & 0.162704 \tabularnewline
48 & 0.151856 & 1.2614 & 0.105705 \tabularnewline
49 & 0.099293 & 0.8248 & 0.206168 \tabularnewline
50 & -0.04179 & -0.3471 & 0.364775 \tabularnewline
51 & -0.086104 & -0.7152 & 0.238439 \tabularnewline
52 & -0.064597 & -0.5366 & 0.296641 \tabularnewline
53 & -0.018176 & -0.151 & 0.440217 \tabularnewline
54 & 0.050916 & 0.4229 & 0.336828 \tabularnewline
55 & 0.014401 & 0.1196 & 0.452564 \tabularnewline
56 & 0.000557 & 0.0046 & 0.498162 \tabularnewline
57 & -0.023276 & -0.1933 & 0.423628 \tabularnewline
58 & -0.021942 & -0.1823 & 0.427955 \tabularnewline
59 & -0.017017 & -0.1414 & 0.444002 \tabularnewline
60 & 0.000647 & 0.0054 & 0.497865 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33046&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]0.465646[/C][C]3.8679[/C][C]0.000123[/C][/ROW]
[ROW][C]2[/C][C]-0.098028[/C][C]-0.8143[/C][C]0.209144[/C][/ROW]
[ROW][C]3[/C][C]-0.546388[/C][C]-4.5386[/C][C]1.2e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.601195[/C][C]-4.9939[/C][C]2e-06[/C][/ROW]
[ROW][C]5[/C][C]-0.20412[/C][C]-1.6955[/C][C]0.04724[/C][/ROW]
[ROW][C]6[/C][C]0.166161[/C][C]1.3802[/C][C]0.085985[/C][/ROW]
[ROW][C]7[/C][C]0.312156[/C][C]2.593[/C][C]0.005804[/C][/ROW]
[ROW][C]8[/C][C]0.297469[/C][C]2.471[/C][C]0.007974[/C][/ROW]
[ROW][C]9[/C][C]0.101087[/C][C]0.8397[/C][C]0.20199[/C][/ROW]
[ROW][C]10[/C][C]-0.082585[/C][C]-0.686[/C][C]0.247505[/C][/ROW]
[ROW][C]11[/C][C]-0.143481[/C][C]-1.1918[/C][C]0.118703[/C][/ROW]
[ROW][C]12[/C][C]-0.229263[/C][C]-1.9044[/C][C]0.030514[/C][/ROW]
[ROW][C]13[/C][C]-0.059504[/C][C]-0.4943[/C][C]0.31134[/C][/ROW]
[ROW][C]14[/C][C]0.077653[/C][C]0.645[/C][C]0.260522[/C][/ROW]
[ROW][C]15[/C][C]0.155358[/C][C]1.2905[/C][C]0.100593[/C][/ROW]
[ROW][C]16[/C][C]0.098614[/C][C]0.8192[/C][C]0.20776[/C][/ROW]
[ROW][C]17[/C][C]-0.075659[/C][C]-0.6285[/C][C]0.265885[/C][/ROW]
[ROW][C]18[/C][C]-0.106422[/C][C]-0.884[/C][C]0.189881[/C][/ROW]
[ROW][C]19[/C][C]-0.090723[/C][C]-0.7536[/C][C]0.226827[/C][/ROW]
[ROW][C]20[/C][C]0.089558[/C][C]0.7439[/C][C]0.229725[/C][/ROW]
[ROW][C]21[/C][C]0.149278[/C][C]1.24[/C][C]0.109589[/C][/ROW]
[ROW][C]22[/C][C]0.06574[/C][C]0.5461[/C][C]0.293386[/C][/ROW]
[ROW][C]23[/C][C]-0.05183[/C][C]-0.4305[/C][C]0.334074[/C][/ROW]
[ROW][C]24[/C][C]-0.200937[/C][C]-1.6691[/C][C]0.049814[/C][/ROW]
[ROW][C]25[/C][C]-0.095343[/C][C]-0.792[/C][C]0.215543[/C][/ROW]
[ROW][C]26[/C][C]0.040944[/C][C]0.3401[/C][C]0.367405[/C][/ROW]
[ROW][C]27[/C][C]0.080996[/C][C]0.6728[/C][C]0.251659[/C][/ROW]
[ROW][C]28[/C][C]-0.003383[/C][C]-0.0281[/C][C]0.488831[/C][/ROW]
[ROW][C]29[/C][C]-0.093009[/C][C]-0.7726[/C][C]0.221201[/C][/ROW]
[ROW][C]30[/C][C]-0.141139[/C][C]-1.1724[/C][C]0.122536[/C][/ROW]
[ROW][C]31[/C][C]0.081731[/C][C]0.6789[/C][C]0.249732[/C][/ROW]
[ROW][C]32[/C][C]0.19591[/C][C]1.6274[/C][C]0.054111[/C][/ROW]
[ROW][C]33[/C][C]0.187565[/C][C]1.558[/C][C]0.061901[/C][/ROW]
[ROW][C]34[/C][C]0.066375[/C][C]0.5513[/C][C]0.291588[/C][/ROW]
[ROW][C]35[/C][C]-0.140809[/C][C]-1.1696[/C][C]0.123083[/C][/ROW]
[ROW][C]36[/C][C]-0.201986[/C][C]-1.6778[/C][C]0.048953[/C][/ROW]
[ROW][C]37[/C][C]-0.171613[/C][C]-1.4255[/C][C]0.079257[/C][/ROW]
[ROW][C]38[/C][C]0.000643[/C][C]0.0053[/C][C]0.497876[/C][/ROW]
[ROW][C]39[/C][C]0.103487[/C][C]0.8596[/C][C]0.196486[/C][/ROW]
[ROW][C]40[/C][C]0.173448[/C][C]1.4408[/C][C]0.077087[/C][/ROW]
[ROW][C]41[/C][C]0.151579[/C][C]1.2591[/C][C]0.106117[/C][/ROW]
[ROW][C]42[/C][C]0.038161[/C][C]0.317[/C][C]0.376105[/C][/ROW]
[ROW][C]43[/C][C]-0.094083[/C][C]-0.7815[/C][C]0.218587[/C][/ROW]
[ROW][C]44[/C][C]-0.192042[/C][C]-1.5952[/C][C]0.057617[/C][/ROW]
[ROW][C]45[/C][C]-0.148398[/C][C]-1.2327[/C][C]0.110937[/C][/ROW]
[ROW][C]46[/C][C]-0.009053[/C][C]-0.0752[/C][C]0.470137[/C][/ROW]
[ROW][C]47[/C][C]0.119238[/C][C]0.9905[/C][C]0.162704[/C][/ROW]
[ROW][C]48[/C][C]0.151856[/C][C]1.2614[/C][C]0.105705[/C][/ROW]
[ROW][C]49[/C][C]0.099293[/C][C]0.8248[/C][C]0.206168[/C][/ROW]
[ROW][C]50[/C][C]-0.04179[/C][C]-0.3471[/C][C]0.364775[/C][/ROW]
[ROW][C]51[/C][C]-0.086104[/C][C]-0.7152[/C][C]0.238439[/C][/ROW]
[ROW][C]52[/C][C]-0.064597[/C][C]-0.5366[/C][C]0.296641[/C][/ROW]
[ROW][C]53[/C][C]-0.018176[/C][C]-0.151[/C][C]0.440217[/C][/ROW]
[ROW][C]54[/C][C]0.050916[/C][C]0.4229[/C][C]0.336828[/C][/ROW]
[ROW][C]55[/C][C]0.014401[/C][C]0.1196[/C][C]0.452564[/C][/ROW]
[ROW][C]56[/C][C]0.000557[/C][C]0.0046[/C][C]0.498162[/C][/ROW]
[ROW][C]57[/C][C]-0.023276[/C][C]-0.1933[/C][C]0.423628[/C][/ROW]
[ROW][C]58[/C][C]-0.021942[/C][C]-0.1823[/C][C]0.427955[/C][/ROW]
[ROW][C]59[/C][C]-0.017017[/C][C]-0.1414[/C][C]0.444002[/C][/ROW]
[ROW][C]60[/C][C]0.000647[/C][C]0.0054[/C][C]0.497865[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33046&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33046&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
10.4656463.86790.000123
2-0.098028-0.81430.209144
3-0.546388-4.53861.2e-05
4-0.601195-4.99392e-06
5-0.20412-1.69550.04724
60.1661611.38020.085985
70.3121562.5930.005804
80.2974692.4710.007974
90.1010870.83970.20199
10-0.082585-0.6860.247505
11-0.143481-1.19180.118703
12-0.229263-1.90440.030514
13-0.059504-0.49430.31134
140.0776530.6450.260522
150.1553581.29050.100593
160.0986140.81920.20776
17-0.075659-0.62850.265885
18-0.106422-0.8840.189881
19-0.090723-0.75360.226827
200.0895580.74390.229725
210.1492781.240.109589
220.065740.54610.293386
23-0.05183-0.43050.334074
24-0.200937-1.66910.049814
25-0.095343-0.7920.215543
260.0409440.34010.367405
270.0809960.67280.251659
28-0.003383-0.02810.488831
29-0.093009-0.77260.221201
30-0.141139-1.17240.122536
310.0817310.67890.249732
320.195911.62740.054111
330.1875651.5580.061901
340.0663750.55130.291588
35-0.140809-1.16960.123083
36-0.201986-1.67780.048953
37-0.171613-1.42550.079257
380.0006430.00530.497876
390.1034870.85960.196486
400.1734481.44080.077087
410.1515791.25910.106117
420.0381610.3170.376105
43-0.094083-0.78150.218587
44-0.192042-1.59520.057617
45-0.148398-1.23270.110937
46-0.009053-0.07520.470137
470.1192380.99050.162704
480.1518561.26140.105705
490.0992930.82480.206168
50-0.04179-0.34710.364775
51-0.086104-0.71520.238439
52-0.064597-0.53660.296641
53-0.018176-0.1510.440217
540.0509160.42290.336828
550.0144010.11960.452564
560.0005570.00460.498162
57-0.023276-0.19330.423628
58-0.021942-0.18230.427955
59-0.017017-0.14140.444002
600.0006470.00540.497865







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4656463.86790.000123
2-0.402023-3.33950.000678
3-0.449577-3.73450.000192
4-0.275893-2.29170.012489
50.0550670.45740.324404
6-0.11861-0.98520.163973
7-0.199527-1.65740.05099
80.0560740.46580.321418
90.0408750.33950.367619
10-0.032764-0.27220.393158
110.0355120.2950.384447
12-0.156036-1.29610.099624
130.1561.29580.099676
140.0345110.28670.387612
15-0.007566-0.06290.475033
16-0.120533-1.00120.160108
17-0.079342-0.65910.256024
180.1176010.97690.166024
19-0.114271-0.94920.172915
200.1468261.21960.113378
21-0.022122-0.18380.42737
22-0.042137-0.350.363696
230.054740.45470.325373
24-0.195901-1.62730.054118
250.2152141.78770.039108
26-0.078247-0.650.258935
27-0.11844-0.98380.164316
28-0.257461-2.13860.018004
29-0.148922-1.2370.110133
30-0.036713-0.3050.380656
310.0239890.19930.421319
320.0695620.57780.282632
33-0.065386-0.54310.294392
340.0783170.65060.258748
350.1327591.10280.136977
36-0.118022-0.98040.165167
370.0736540.61180.271335
380.1200320.99710.16111
39-0.035587-0.29560.384209
40-0.061049-0.50710.306846
41-0.022951-0.19060.42468
420.0483520.40160.344594
43-0.027153-0.22560.411109
440.0105720.08780.465138
45-0.009904-0.08230.467334
46-0.032548-0.27040.393843
470.0229240.19040.42477
48-0.058594-0.48670.314001
490.0255810.21250.416175
500.0567180.47110.319516
51-0.025602-0.21270.416108
52-0.102969-0.85530.197665
53-0.082684-0.68680.247247
54-0.018062-0.150.440587
550.0387690.3220.3742
56-0.020814-0.17290.43162
57-0.035927-0.29840.383134
58-0.01854-0.1540.439027
590.0125540.10430.458626
600.0250030.20770.418042

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.465646 & 3.8679 & 0.000123 \tabularnewline
2 & -0.402023 & -3.3395 & 0.000678 \tabularnewline
3 & -0.449577 & -3.7345 & 0.000192 \tabularnewline
4 & -0.275893 & -2.2917 & 0.012489 \tabularnewline
5 & 0.055067 & 0.4574 & 0.324404 \tabularnewline
6 & -0.11861 & -0.9852 & 0.163973 \tabularnewline
7 & -0.199527 & -1.6574 & 0.05099 \tabularnewline
8 & 0.056074 & 0.4658 & 0.321418 \tabularnewline
9 & 0.040875 & 0.3395 & 0.367619 \tabularnewline
10 & -0.032764 & -0.2722 & 0.393158 \tabularnewline
11 & 0.035512 & 0.295 & 0.384447 \tabularnewline
12 & -0.156036 & -1.2961 & 0.099624 \tabularnewline
13 & 0.156 & 1.2958 & 0.099676 \tabularnewline
14 & 0.034511 & 0.2867 & 0.387612 \tabularnewline
15 & -0.007566 & -0.0629 & 0.475033 \tabularnewline
16 & -0.120533 & -1.0012 & 0.160108 \tabularnewline
17 & -0.079342 & -0.6591 & 0.256024 \tabularnewline
18 & 0.117601 & 0.9769 & 0.166024 \tabularnewline
19 & -0.114271 & -0.9492 & 0.172915 \tabularnewline
20 & 0.146826 & 1.2196 & 0.113378 \tabularnewline
21 & -0.022122 & -0.1838 & 0.42737 \tabularnewline
22 & -0.042137 & -0.35 & 0.363696 \tabularnewline
23 & 0.05474 & 0.4547 & 0.325373 \tabularnewline
24 & -0.195901 & -1.6273 & 0.054118 \tabularnewline
25 & 0.215214 & 1.7877 & 0.039108 \tabularnewline
26 & -0.078247 & -0.65 & 0.258935 \tabularnewline
27 & -0.11844 & -0.9838 & 0.164316 \tabularnewline
28 & -0.257461 & -2.1386 & 0.018004 \tabularnewline
29 & -0.148922 & -1.237 & 0.110133 \tabularnewline
30 & -0.036713 & -0.305 & 0.380656 \tabularnewline
31 & 0.023989 & 0.1993 & 0.421319 \tabularnewline
32 & 0.069562 & 0.5778 & 0.282632 \tabularnewline
33 & -0.065386 & -0.5431 & 0.294392 \tabularnewline
34 & 0.078317 & 0.6506 & 0.258748 \tabularnewline
35 & 0.132759 & 1.1028 & 0.136977 \tabularnewline
36 & -0.118022 & -0.9804 & 0.165167 \tabularnewline
37 & 0.073654 & 0.6118 & 0.271335 \tabularnewline
38 & 0.120032 & 0.9971 & 0.16111 \tabularnewline
39 & -0.035587 & -0.2956 & 0.384209 \tabularnewline
40 & -0.061049 & -0.5071 & 0.306846 \tabularnewline
41 & -0.022951 & -0.1906 & 0.42468 \tabularnewline
42 & 0.048352 & 0.4016 & 0.344594 \tabularnewline
43 & -0.027153 & -0.2256 & 0.411109 \tabularnewline
44 & 0.010572 & 0.0878 & 0.465138 \tabularnewline
45 & -0.009904 & -0.0823 & 0.467334 \tabularnewline
46 & -0.032548 & -0.2704 & 0.393843 \tabularnewline
47 & 0.022924 & 0.1904 & 0.42477 \tabularnewline
48 & -0.058594 & -0.4867 & 0.314001 \tabularnewline
49 & 0.025581 & 0.2125 & 0.416175 \tabularnewline
50 & 0.056718 & 0.4711 & 0.319516 \tabularnewline
51 & -0.025602 & -0.2127 & 0.416108 \tabularnewline
52 & -0.102969 & -0.8553 & 0.197665 \tabularnewline
53 & -0.082684 & -0.6868 & 0.247247 \tabularnewline
54 & -0.018062 & -0.15 & 0.440587 \tabularnewline
55 & 0.038769 & 0.322 & 0.3742 \tabularnewline
56 & -0.020814 & -0.1729 & 0.43162 \tabularnewline
57 & -0.035927 & -0.2984 & 0.383134 \tabularnewline
58 & -0.01854 & -0.154 & 0.439027 \tabularnewline
59 & 0.012554 & 0.1043 & 0.458626 \tabularnewline
60 & 0.025003 & 0.2077 & 0.418042 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33046&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]0.465646[/C][C]3.8679[/C][C]0.000123[/C][/ROW]
[ROW][C]2[/C][C]-0.402023[/C][C]-3.3395[/C][C]0.000678[/C][/ROW]
[ROW][C]3[/C][C]-0.449577[/C][C]-3.7345[/C][C]0.000192[/C][/ROW]
[ROW][C]4[/C][C]-0.275893[/C][C]-2.2917[/C][C]0.012489[/C][/ROW]
[ROW][C]5[/C][C]0.055067[/C][C]0.4574[/C][C]0.324404[/C][/ROW]
[ROW][C]6[/C][C]-0.11861[/C][C]-0.9852[/C][C]0.163973[/C][/ROW]
[ROW][C]7[/C][C]-0.199527[/C][C]-1.6574[/C][C]0.05099[/C][/ROW]
[ROW][C]8[/C][C]0.056074[/C][C]0.4658[/C][C]0.321418[/C][/ROW]
[ROW][C]9[/C][C]0.040875[/C][C]0.3395[/C][C]0.367619[/C][/ROW]
[ROW][C]10[/C][C]-0.032764[/C][C]-0.2722[/C][C]0.393158[/C][/ROW]
[ROW][C]11[/C][C]0.035512[/C][C]0.295[/C][C]0.384447[/C][/ROW]
[ROW][C]12[/C][C]-0.156036[/C][C]-1.2961[/C][C]0.099624[/C][/ROW]
[ROW][C]13[/C][C]0.156[/C][C]1.2958[/C][C]0.099676[/C][/ROW]
[ROW][C]14[/C][C]0.034511[/C][C]0.2867[/C][C]0.387612[/C][/ROW]
[ROW][C]15[/C][C]-0.007566[/C][C]-0.0629[/C][C]0.475033[/C][/ROW]
[ROW][C]16[/C][C]-0.120533[/C][C]-1.0012[/C][C]0.160108[/C][/ROW]
[ROW][C]17[/C][C]-0.079342[/C][C]-0.6591[/C][C]0.256024[/C][/ROW]
[ROW][C]18[/C][C]0.117601[/C][C]0.9769[/C][C]0.166024[/C][/ROW]
[ROW][C]19[/C][C]-0.114271[/C][C]-0.9492[/C][C]0.172915[/C][/ROW]
[ROW][C]20[/C][C]0.146826[/C][C]1.2196[/C][C]0.113378[/C][/ROW]
[ROW][C]21[/C][C]-0.022122[/C][C]-0.1838[/C][C]0.42737[/C][/ROW]
[ROW][C]22[/C][C]-0.042137[/C][C]-0.35[/C][C]0.363696[/C][/ROW]
[ROW][C]23[/C][C]0.05474[/C][C]0.4547[/C][C]0.325373[/C][/ROW]
[ROW][C]24[/C][C]-0.195901[/C][C]-1.6273[/C][C]0.054118[/C][/ROW]
[ROW][C]25[/C][C]0.215214[/C][C]1.7877[/C][C]0.039108[/C][/ROW]
[ROW][C]26[/C][C]-0.078247[/C][C]-0.65[/C][C]0.258935[/C][/ROW]
[ROW][C]27[/C][C]-0.11844[/C][C]-0.9838[/C][C]0.164316[/C][/ROW]
[ROW][C]28[/C][C]-0.257461[/C][C]-2.1386[/C][C]0.018004[/C][/ROW]
[ROW][C]29[/C][C]-0.148922[/C][C]-1.237[/C][C]0.110133[/C][/ROW]
[ROW][C]30[/C][C]-0.036713[/C][C]-0.305[/C][C]0.380656[/C][/ROW]
[ROW][C]31[/C][C]0.023989[/C][C]0.1993[/C][C]0.421319[/C][/ROW]
[ROW][C]32[/C][C]0.069562[/C][C]0.5778[/C][C]0.282632[/C][/ROW]
[ROW][C]33[/C][C]-0.065386[/C][C]-0.5431[/C][C]0.294392[/C][/ROW]
[ROW][C]34[/C][C]0.078317[/C][C]0.6506[/C][C]0.258748[/C][/ROW]
[ROW][C]35[/C][C]0.132759[/C][C]1.1028[/C][C]0.136977[/C][/ROW]
[ROW][C]36[/C][C]-0.118022[/C][C]-0.9804[/C][C]0.165167[/C][/ROW]
[ROW][C]37[/C][C]0.073654[/C][C]0.6118[/C][C]0.271335[/C][/ROW]
[ROW][C]38[/C][C]0.120032[/C][C]0.9971[/C][C]0.16111[/C][/ROW]
[ROW][C]39[/C][C]-0.035587[/C][C]-0.2956[/C][C]0.384209[/C][/ROW]
[ROW][C]40[/C][C]-0.061049[/C][C]-0.5071[/C][C]0.306846[/C][/ROW]
[ROW][C]41[/C][C]-0.022951[/C][C]-0.1906[/C][C]0.42468[/C][/ROW]
[ROW][C]42[/C][C]0.048352[/C][C]0.4016[/C][C]0.344594[/C][/ROW]
[ROW][C]43[/C][C]-0.027153[/C][C]-0.2256[/C][C]0.411109[/C][/ROW]
[ROW][C]44[/C][C]0.010572[/C][C]0.0878[/C][C]0.465138[/C][/ROW]
[ROW][C]45[/C][C]-0.009904[/C][C]-0.0823[/C][C]0.467334[/C][/ROW]
[ROW][C]46[/C][C]-0.032548[/C][C]-0.2704[/C][C]0.393843[/C][/ROW]
[ROW][C]47[/C][C]0.022924[/C][C]0.1904[/C][C]0.42477[/C][/ROW]
[ROW][C]48[/C][C]-0.058594[/C][C]-0.4867[/C][C]0.314001[/C][/ROW]
[ROW][C]49[/C][C]0.025581[/C][C]0.2125[/C][C]0.416175[/C][/ROW]
[ROW][C]50[/C][C]0.056718[/C][C]0.4711[/C][C]0.319516[/C][/ROW]
[ROW][C]51[/C][C]-0.025602[/C][C]-0.2127[/C][C]0.416108[/C][/ROW]
[ROW][C]52[/C][C]-0.102969[/C][C]-0.8553[/C][C]0.197665[/C][/ROW]
[ROW][C]53[/C][C]-0.082684[/C][C]-0.6868[/C][C]0.247247[/C][/ROW]
[ROW][C]54[/C][C]-0.018062[/C][C]-0.15[/C][C]0.440587[/C][/ROW]
[ROW][C]55[/C][C]0.038769[/C][C]0.322[/C][C]0.3742[/C][/ROW]
[ROW][C]56[/C][C]-0.020814[/C][C]-0.1729[/C][C]0.43162[/C][/ROW]
[ROW][C]57[/C][C]-0.035927[/C][C]-0.2984[/C][C]0.383134[/C][/ROW]
[ROW][C]58[/C][C]-0.01854[/C][C]-0.154[/C][C]0.439027[/C][/ROW]
[ROW][C]59[/C][C]0.012554[/C][C]0.1043[/C][C]0.458626[/C][/ROW]
[ROW][C]60[/C][C]0.025003[/C][C]0.2077[/C][C]0.418042[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33046&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33046&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
10.4656463.86790.000123
2-0.402023-3.33950.000678
3-0.449577-3.73450.000192
4-0.275893-2.29170.012489
50.0550670.45740.324404
6-0.11861-0.98520.163973
7-0.199527-1.65740.05099
80.0560740.46580.321418
90.0408750.33950.367619
10-0.032764-0.27220.393158
110.0355120.2950.384447
12-0.156036-1.29610.099624
130.1561.29580.099676
140.0345110.28670.387612
15-0.007566-0.06290.475033
16-0.120533-1.00120.160108
17-0.079342-0.65910.256024
180.1176010.97690.166024
19-0.114271-0.94920.172915
200.1468261.21960.113378
21-0.022122-0.18380.42737
22-0.042137-0.350.363696
230.054740.45470.325373
24-0.195901-1.62730.054118
250.2152141.78770.039108
26-0.078247-0.650.258935
27-0.11844-0.98380.164316
28-0.257461-2.13860.018004
29-0.148922-1.2370.110133
30-0.036713-0.3050.380656
310.0239890.19930.421319
320.0695620.57780.282632
33-0.065386-0.54310.294392
340.0783170.65060.258748
350.1327591.10280.136977
36-0.118022-0.98040.165167
370.0736540.61180.271335
380.1200320.99710.16111
39-0.035587-0.29560.384209
40-0.061049-0.50710.306846
41-0.022951-0.19060.42468
420.0483520.40160.344594
43-0.027153-0.22560.411109
440.0105720.08780.465138
45-0.009904-0.08230.467334
46-0.032548-0.27040.393843
470.0229240.19040.42477
48-0.058594-0.48670.314001
490.0255810.21250.416175
500.0567180.47110.319516
51-0.025602-0.21270.416108
52-0.102969-0.85530.197665
53-0.082684-0.68680.247247
54-0.018062-0.150.440587
550.0387690.3220.3742
56-0.020814-0.17290.43162
57-0.035927-0.29840.383134
58-0.01854-0.1540.439027
590.0125540.10430.458626
600.0250030.20770.418042



Parameters (Session):
par1 = 4 ;
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')