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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 17 Dec 2007 07:31:53 -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/2007/Dec/17/t11979010929au5uq5m9sx2a8h.htm/, Retrieved Fri, 03 May 2024 15:16:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4371, Retrieved Fri, 03 May 2024 15:16:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation f...] [2007-12-17 14:31:53] [9ec4fcc2bfe8b6d942eac6074e595603] [Current]
- RMPD    [(Partial) Autocorrelation Function] [PAPER] [2009-12-06 20:57:50] [37daf76adc256428993ec4063536c760]
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Dataseries X:
106.70
110.20
125.90
100.10
106.40
114.80
81.30
87.00
104.20
108.00
105.00
94.50
92.00
95.90
108.80
103.40
102.10
110.10
83.20
82.70
106.80
113.70
102.50
96.60
92.10
95.60
102.30
98.60
98.20
104.50
84.00
73.80
103.90
106.00
97.20
102.60
89.00
93.80
116.70
106.80
98.50
118.70
90.00
91.90
113.30
113.10
104.10
108.70
96.70
101.00
116.90
105.80
99.00
129.40
83.00
88.90
115.90
104.20
113.40
112.20




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4371&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4371&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4371&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.0848030.65690.256883
2-0.251332-1.94680.971878
30.1357371.05140.148643
4-0.172403-1.33540.90661
50.0379420.29390.384925
60.4131333.20010.001098
70.0426110.33010.37125
8-0.053069-0.41110.658757
90.0090170.06980.472274
10-0.318328-2.46580.991726
11-0.005023-0.03890.515455
120.5734054.44162e-05
130.0200130.1550.438663
14-0.247481-1.9170.969997
150.0104750.08110.467801
16-0.202805-1.57090.93927
17-0.052623-0.40760.657497
180.2546441.97250.026585
19-0.005376-0.04160.516539
20-0.057557-0.44580.67134
21-0.025016-0.19380.576497
22-0.300842-2.33030.988415
23-0.038143-0.29550.615666
240.3435032.66080.004994
25-0.009406-0.07290.528919
26-0.232718-1.80260.961765
27-0.092428-0.71590.761598
28-0.167166-1.29490.899835
29-0.120875-0.93630.823562
300.0931640.72160.236659
31-0.031421-0.24340.595733
32-0.109207-0.84590.799519
33-0.035521-0.27510.607926
34-0.197414-1.52920.93426
35-0.094692-0.73350.766939
360.257611.99540.025271
370.0252670.19570.422746
38-0.125946-0.97560.833403
390.022950.17780.429751
40-0.104007-0.80560.788182
41-0.062368-0.48310.684608
420.0853240.66090.255597
430.0498560.38620.350363
44-0.009362-0.07250.528784
450.0247290.19150.424371
46-0.075344-0.58360.719167
47-0.065591-0.50810.693366
480.1691961.31060.097497
490.0362430.28070.38994
50-0.067217-0.52070.697742
510.0833960.6460.260378
52-0.069073-0.5350.7027
53-0.05575-0.43180.666298
540.0432120.33470.369503
550.0185120.14340.443229
560.0467810.36240.359176
570.048060.37230.355503
580.0191720.14850.441221
590.0067520.05230.479232

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.084803 & 0.6569 & 0.256883 \tabularnewline
2 & -0.251332 & -1.9468 & 0.971878 \tabularnewline
3 & 0.135737 & 1.0514 & 0.148643 \tabularnewline
4 & -0.172403 & -1.3354 & 0.90661 \tabularnewline
5 & 0.037942 & 0.2939 & 0.384925 \tabularnewline
6 & 0.413133 & 3.2001 & 0.001098 \tabularnewline
7 & 0.042611 & 0.3301 & 0.37125 \tabularnewline
8 & -0.053069 & -0.4111 & 0.658757 \tabularnewline
9 & 0.009017 & 0.0698 & 0.472274 \tabularnewline
10 & -0.318328 & -2.4658 & 0.991726 \tabularnewline
11 & -0.005023 & -0.0389 & 0.515455 \tabularnewline
12 & 0.573405 & 4.4416 & 2e-05 \tabularnewline
13 & 0.020013 & 0.155 & 0.438663 \tabularnewline
14 & -0.247481 & -1.917 & 0.969997 \tabularnewline
15 & 0.010475 & 0.0811 & 0.467801 \tabularnewline
16 & -0.202805 & -1.5709 & 0.93927 \tabularnewline
17 & -0.052623 & -0.4076 & 0.657497 \tabularnewline
18 & 0.254644 & 1.9725 & 0.026585 \tabularnewline
19 & -0.005376 & -0.0416 & 0.516539 \tabularnewline
20 & -0.057557 & -0.4458 & 0.67134 \tabularnewline
21 & -0.025016 & -0.1938 & 0.576497 \tabularnewline
22 & -0.300842 & -2.3303 & 0.988415 \tabularnewline
23 & -0.038143 & -0.2955 & 0.615666 \tabularnewline
24 & 0.343503 & 2.6608 & 0.004994 \tabularnewline
25 & -0.009406 & -0.0729 & 0.528919 \tabularnewline
26 & -0.232718 & -1.8026 & 0.961765 \tabularnewline
27 & -0.092428 & -0.7159 & 0.761598 \tabularnewline
28 & -0.167166 & -1.2949 & 0.899835 \tabularnewline
29 & -0.120875 & -0.9363 & 0.823562 \tabularnewline
30 & 0.093164 & 0.7216 & 0.236659 \tabularnewline
31 & -0.031421 & -0.2434 & 0.595733 \tabularnewline
32 & -0.109207 & -0.8459 & 0.799519 \tabularnewline
33 & -0.035521 & -0.2751 & 0.607926 \tabularnewline
34 & -0.197414 & -1.5292 & 0.93426 \tabularnewline
35 & -0.094692 & -0.7335 & 0.766939 \tabularnewline
36 & 0.25761 & 1.9954 & 0.025271 \tabularnewline
37 & 0.025267 & 0.1957 & 0.422746 \tabularnewline
38 & -0.125946 & -0.9756 & 0.833403 \tabularnewline
39 & 0.02295 & 0.1778 & 0.429751 \tabularnewline
40 & -0.104007 & -0.8056 & 0.788182 \tabularnewline
41 & -0.062368 & -0.4831 & 0.684608 \tabularnewline
42 & 0.085324 & 0.6609 & 0.255597 \tabularnewline
43 & 0.049856 & 0.3862 & 0.350363 \tabularnewline
44 & -0.009362 & -0.0725 & 0.528784 \tabularnewline
45 & 0.024729 & 0.1915 & 0.424371 \tabularnewline
46 & -0.075344 & -0.5836 & 0.719167 \tabularnewline
47 & -0.065591 & -0.5081 & 0.693366 \tabularnewline
48 & 0.169196 & 1.3106 & 0.097497 \tabularnewline
49 & 0.036243 & 0.2807 & 0.38994 \tabularnewline
50 & -0.067217 & -0.5207 & 0.697742 \tabularnewline
51 & 0.083396 & 0.646 & 0.260378 \tabularnewline
52 & -0.069073 & -0.535 & 0.7027 \tabularnewline
53 & -0.05575 & -0.4318 & 0.666298 \tabularnewline
54 & 0.043212 & 0.3347 & 0.369503 \tabularnewline
55 & 0.018512 & 0.1434 & 0.443229 \tabularnewline
56 & 0.046781 & 0.3624 & 0.359176 \tabularnewline
57 & 0.04806 & 0.3723 & 0.355503 \tabularnewline
58 & 0.019172 & 0.1485 & 0.441221 \tabularnewline
59 & 0.006752 & 0.0523 & 0.479232 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4371&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.084803[/C][C]0.6569[/C][C]0.256883[/C][/ROW]
[ROW][C]2[/C][C]-0.251332[/C][C]-1.9468[/C][C]0.971878[/C][/ROW]
[ROW][C]3[/C][C]0.135737[/C][C]1.0514[/C][C]0.148643[/C][/ROW]
[ROW][C]4[/C][C]-0.172403[/C][C]-1.3354[/C][C]0.90661[/C][/ROW]
[ROW][C]5[/C][C]0.037942[/C][C]0.2939[/C][C]0.384925[/C][/ROW]
[ROW][C]6[/C][C]0.413133[/C][C]3.2001[/C][C]0.001098[/C][/ROW]
[ROW][C]7[/C][C]0.042611[/C][C]0.3301[/C][C]0.37125[/C][/ROW]
[ROW][C]8[/C][C]-0.053069[/C][C]-0.4111[/C][C]0.658757[/C][/ROW]
[ROW][C]9[/C][C]0.009017[/C][C]0.0698[/C][C]0.472274[/C][/ROW]
[ROW][C]10[/C][C]-0.318328[/C][C]-2.4658[/C][C]0.991726[/C][/ROW]
[ROW][C]11[/C][C]-0.005023[/C][C]-0.0389[/C][C]0.515455[/C][/ROW]
[ROW][C]12[/C][C]0.573405[/C][C]4.4416[/C][C]2e-05[/C][/ROW]
[ROW][C]13[/C][C]0.020013[/C][C]0.155[/C][C]0.438663[/C][/ROW]
[ROW][C]14[/C][C]-0.247481[/C][C]-1.917[/C][C]0.969997[/C][/ROW]
[ROW][C]15[/C][C]0.010475[/C][C]0.0811[/C][C]0.467801[/C][/ROW]
[ROW][C]16[/C][C]-0.202805[/C][C]-1.5709[/C][C]0.93927[/C][/ROW]
[ROW][C]17[/C][C]-0.052623[/C][C]-0.4076[/C][C]0.657497[/C][/ROW]
[ROW][C]18[/C][C]0.254644[/C][C]1.9725[/C][C]0.026585[/C][/ROW]
[ROW][C]19[/C][C]-0.005376[/C][C]-0.0416[/C][C]0.516539[/C][/ROW]
[ROW][C]20[/C][C]-0.057557[/C][C]-0.4458[/C][C]0.67134[/C][/ROW]
[ROW][C]21[/C][C]-0.025016[/C][C]-0.1938[/C][C]0.576497[/C][/ROW]
[ROW][C]22[/C][C]-0.300842[/C][C]-2.3303[/C][C]0.988415[/C][/ROW]
[ROW][C]23[/C][C]-0.038143[/C][C]-0.2955[/C][C]0.615666[/C][/ROW]
[ROW][C]24[/C][C]0.343503[/C][C]2.6608[/C][C]0.004994[/C][/ROW]
[ROW][C]25[/C][C]-0.009406[/C][C]-0.0729[/C][C]0.528919[/C][/ROW]
[ROW][C]26[/C][C]-0.232718[/C][C]-1.8026[/C][C]0.961765[/C][/ROW]
[ROW][C]27[/C][C]-0.092428[/C][C]-0.7159[/C][C]0.761598[/C][/ROW]
[ROW][C]28[/C][C]-0.167166[/C][C]-1.2949[/C][C]0.899835[/C][/ROW]
[ROW][C]29[/C][C]-0.120875[/C][C]-0.9363[/C][C]0.823562[/C][/ROW]
[ROW][C]30[/C][C]0.093164[/C][C]0.7216[/C][C]0.236659[/C][/ROW]
[ROW][C]31[/C][C]-0.031421[/C][C]-0.2434[/C][C]0.595733[/C][/ROW]
[ROW][C]32[/C][C]-0.109207[/C][C]-0.8459[/C][C]0.799519[/C][/ROW]
[ROW][C]33[/C][C]-0.035521[/C][C]-0.2751[/C][C]0.607926[/C][/ROW]
[ROW][C]34[/C][C]-0.197414[/C][C]-1.5292[/C][C]0.93426[/C][/ROW]
[ROW][C]35[/C][C]-0.094692[/C][C]-0.7335[/C][C]0.766939[/C][/ROW]
[ROW][C]36[/C][C]0.25761[/C][C]1.9954[/C][C]0.025271[/C][/ROW]
[ROW][C]37[/C][C]0.025267[/C][C]0.1957[/C][C]0.422746[/C][/ROW]
[ROW][C]38[/C][C]-0.125946[/C][C]-0.9756[/C][C]0.833403[/C][/ROW]
[ROW][C]39[/C][C]0.02295[/C][C]0.1778[/C][C]0.429751[/C][/ROW]
[ROW][C]40[/C][C]-0.104007[/C][C]-0.8056[/C][C]0.788182[/C][/ROW]
[ROW][C]41[/C][C]-0.062368[/C][C]-0.4831[/C][C]0.684608[/C][/ROW]
[ROW][C]42[/C][C]0.085324[/C][C]0.6609[/C][C]0.255597[/C][/ROW]
[ROW][C]43[/C][C]0.049856[/C][C]0.3862[/C][C]0.350363[/C][/ROW]
[ROW][C]44[/C][C]-0.009362[/C][C]-0.0725[/C][C]0.528784[/C][/ROW]
[ROW][C]45[/C][C]0.024729[/C][C]0.1915[/C][C]0.424371[/C][/ROW]
[ROW][C]46[/C][C]-0.075344[/C][C]-0.5836[/C][C]0.719167[/C][/ROW]
[ROW][C]47[/C][C]-0.065591[/C][C]-0.5081[/C][C]0.693366[/C][/ROW]
[ROW][C]48[/C][C]0.169196[/C][C]1.3106[/C][C]0.097497[/C][/ROW]
[ROW][C]49[/C][C]0.036243[/C][C]0.2807[/C][C]0.38994[/C][/ROW]
[ROW][C]50[/C][C]-0.067217[/C][C]-0.5207[/C][C]0.697742[/C][/ROW]
[ROW][C]51[/C][C]0.083396[/C][C]0.646[/C][C]0.260378[/C][/ROW]
[ROW][C]52[/C][C]-0.069073[/C][C]-0.535[/C][C]0.7027[/C][/ROW]
[ROW][C]53[/C][C]-0.05575[/C][C]-0.4318[/C][C]0.666298[/C][/ROW]
[ROW][C]54[/C][C]0.043212[/C][C]0.3347[/C][C]0.369503[/C][/ROW]
[ROW][C]55[/C][C]0.018512[/C][C]0.1434[/C][C]0.443229[/C][/ROW]
[ROW][C]56[/C][C]0.046781[/C][C]0.3624[/C][C]0.359176[/C][/ROW]
[ROW][C]57[/C][C]0.04806[/C][C]0.3723[/C][C]0.355503[/C][/ROW]
[ROW][C]58[/C][C]0.019172[/C][C]0.1485[/C][C]0.441221[/C][/ROW]
[ROW][C]59[/C][C]0.006752[/C][C]0.0523[/C][C]0.479232[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4371&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4371&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
017.7460
10.0848030.65690.256883
2-0.251332-1.94680.971878
30.1357371.05140.148643
4-0.172403-1.33540.90661
50.0379420.29390.384925
60.4131333.20010.001098
70.0426110.33010.37125
8-0.053069-0.41110.658757
90.0090170.06980.472274
10-0.318328-2.46580.991726
11-0.005023-0.03890.515455
120.5734054.44162e-05
130.0200130.1550.438663
14-0.247481-1.9170.969997
150.0104750.08110.467801
16-0.202805-1.57090.93927
17-0.052623-0.40760.657497
180.2546441.97250.026585
19-0.005376-0.04160.516539
20-0.057557-0.44580.67134
21-0.025016-0.19380.576497
22-0.300842-2.33030.988415
23-0.038143-0.29550.615666
240.3435032.66080.004994
25-0.009406-0.07290.528919
26-0.232718-1.80260.961765
27-0.092428-0.71590.761598
28-0.167166-1.29490.899835
29-0.120875-0.93630.823562
300.0931640.72160.236659
31-0.031421-0.24340.595733
32-0.109207-0.84590.799519
33-0.035521-0.27510.607926
34-0.197414-1.52920.93426
35-0.094692-0.73350.766939
360.257611.99540.025271
370.0252670.19570.422746
38-0.125946-0.97560.833403
390.022950.17780.429751
40-0.104007-0.80560.788182
41-0.062368-0.48310.684608
420.0853240.66090.255597
430.0498560.38620.350363
44-0.009362-0.07250.528784
450.0247290.19150.424371
46-0.075344-0.58360.719167
47-0.065591-0.50810.693366
480.1691961.31060.097497
490.0362430.28070.38994
50-0.067217-0.52070.697742
510.0833960.6460.260378
52-0.069073-0.5350.7027
53-0.05575-0.43180.666298
540.0432120.33470.369503
550.0185120.14340.443229
560.0467810.36240.359176
570.048060.37230.355503
580.0191720.14850.441221
590.0067520.05230.479232







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0848030.65690.256883
1-0.260396-2.0170.975913
20.1995521.54570.063715
3-0.316996-2.45540.991507
40.2705832.09590.020157
50.2167281.67880.049199
60.1014530.78590.217523
70.0504590.39090.348644
8-0.061959-0.47990.683489
9-0.279083-2.16180.982682
100.0493230.38210.351886
110.4393933.40350.000595
12-0.119555-0.92610.820939
13-0.154959-1.20030.882631
14-0.118168-0.91530.818157
150.0541410.41940.338221
16-0.027324-0.21160.583451
17-0.082927-0.64240.738454
18-0.071658-0.55510.709541
19-0.019263-0.14920.559055
200.0629010.48720.313934
21-0.010324-0.080.531737
22-0.005715-0.04430.51758
23-0.070649-0.54720.70688
240.0058730.04550.481934
25-0.134122-1.03890.848491
26-0.106154-0.82230.79291
27-0.019018-0.14730.558309
28-0.133394-1.03330.847187
29-0.085806-0.66470.745591
30-0.116598-0.90320.814975
31-0.048156-0.3730.644774
320.0379380.29390.384936
330.0617810.47860.316997
34-0.077407-0.59960.724483
350.045480.35230.362928
36-0.004445-0.03440.513676
370.1858661.43970.077573
380.0444150.3440.366011
39-0.100761-0.78050.780916
40-0.034944-0.27070.606216
41-0.094471-0.73180.76642
420.1751121.35640.090025
43-0.106647-0.82610.793985
440.0046660.03610.485643
45-0.096751-0.74940.771737
460.0766960.59410.277345
47-0.004547-0.03520.51399
48-0.067476-0.52270.698435
490.0097140.07520.470136
50-0.022487-0.17420.568846
510.007890.06110.475735
52-0.046519-0.36030.640068
53-0.087259-0.67590.749152
54-0.016552-0.12820.550794
550.0056450.04370.482634
56-0.058597-0.45390.674227
570.0661910.51270.305018
58-0.00284-0.0220.50874
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.084803 & 0.6569 & 0.256883 \tabularnewline
1 & -0.260396 & -2.017 & 0.975913 \tabularnewline
2 & 0.199552 & 1.5457 & 0.063715 \tabularnewline
3 & -0.316996 & -2.4554 & 0.991507 \tabularnewline
4 & 0.270583 & 2.0959 & 0.020157 \tabularnewline
5 & 0.216728 & 1.6788 & 0.049199 \tabularnewline
6 & 0.101453 & 0.7859 & 0.217523 \tabularnewline
7 & 0.050459 & 0.3909 & 0.348644 \tabularnewline
8 & -0.061959 & -0.4799 & 0.683489 \tabularnewline
9 & -0.279083 & -2.1618 & 0.982682 \tabularnewline
10 & 0.049323 & 0.3821 & 0.351886 \tabularnewline
11 & 0.439393 & 3.4035 & 0.000595 \tabularnewline
12 & -0.119555 & -0.9261 & 0.820939 \tabularnewline
13 & -0.154959 & -1.2003 & 0.882631 \tabularnewline
14 & -0.118168 & -0.9153 & 0.818157 \tabularnewline
15 & 0.054141 & 0.4194 & 0.338221 \tabularnewline
16 & -0.027324 & -0.2116 & 0.583451 \tabularnewline
17 & -0.082927 & -0.6424 & 0.738454 \tabularnewline
18 & -0.071658 & -0.5551 & 0.709541 \tabularnewline
19 & -0.019263 & -0.1492 & 0.559055 \tabularnewline
20 & 0.062901 & 0.4872 & 0.313934 \tabularnewline
21 & -0.010324 & -0.08 & 0.531737 \tabularnewline
22 & -0.005715 & -0.0443 & 0.51758 \tabularnewline
23 & -0.070649 & -0.5472 & 0.70688 \tabularnewline
24 & 0.005873 & 0.0455 & 0.481934 \tabularnewline
25 & -0.134122 & -1.0389 & 0.848491 \tabularnewline
26 & -0.106154 & -0.8223 & 0.79291 \tabularnewline
27 & -0.019018 & -0.1473 & 0.558309 \tabularnewline
28 & -0.133394 & -1.0333 & 0.847187 \tabularnewline
29 & -0.085806 & -0.6647 & 0.745591 \tabularnewline
30 & -0.116598 & -0.9032 & 0.814975 \tabularnewline
31 & -0.048156 & -0.373 & 0.644774 \tabularnewline
32 & 0.037938 & 0.2939 & 0.384936 \tabularnewline
33 & 0.061781 & 0.4786 & 0.316997 \tabularnewline
34 & -0.077407 & -0.5996 & 0.724483 \tabularnewline
35 & 0.04548 & 0.3523 & 0.362928 \tabularnewline
36 & -0.004445 & -0.0344 & 0.513676 \tabularnewline
37 & 0.185866 & 1.4397 & 0.077573 \tabularnewline
38 & 0.044415 & 0.344 & 0.366011 \tabularnewline
39 & -0.100761 & -0.7805 & 0.780916 \tabularnewline
40 & -0.034944 & -0.2707 & 0.606216 \tabularnewline
41 & -0.094471 & -0.7318 & 0.76642 \tabularnewline
42 & 0.175112 & 1.3564 & 0.090025 \tabularnewline
43 & -0.106647 & -0.8261 & 0.793985 \tabularnewline
44 & 0.004666 & 0.0361 & 0.485643 \tabularnewline
45 & -0.096751 & -0.7494 & 0.771737 \tabularnewline
46 & 0.076696 & 0.5941 & 0.277345 \tabularnewline
47 & -0.004547 & -0.0352 & 0.51399 \tabularnewline
48 & -0.067476 & -0.5227 & 0.698435 \tabularnewline
49 & 0.009714 & 0.0752 & 0.470136 \tabularnewline
50 & -0.022487 & -0.1742 & 0.568846 \tabularnewline
51 & 0.00789 & 0.0611 & 0.475735 \tabularnewline
52 & -0.046519 & -0.3603 & 0.640068 \tabularnewline
53 & -0.087259 & -0.6759 & 0.749152 \tabularnewline
54 & -0.016552 & -0.1282 & 0.550794 \tabularnewline
55 & 0.005645 & 0.0437 & 0.482634 \tabularnewline
56 & -0.058597 & -0.4539 & 0.674227 \tabularnewline
57 & 0.066191 & 0.5127 & 0.305018 \tabularnewline
58 & -0.00284 & -0.022 & 0.50874 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4371&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]0[/C][C]0.084803[/C][C]0.6569[/C][C]0.256883[/C][/ROW]
[ROW][C]1[/C][C]-0.260396[/C][C]-2.017[/C][C]0.975913[/C][/ROW]
[ROW][C]2[/C][C]0.199552[/C][C]1.5457[/C][C]0.063715[/C][/ROW]
[ROW][C]3[/C][C]-0.316996[/C][C]-2.4554[/C][C]0.991507[/C][/ROW]
[ROW][C]4[/C][C]0.270583[/C][C]2.0959[/C][C]0.020157[/C][/ROW]
[ROW][C]5[/C][C]0.216728[/C][C]1.6788[/C][C]0.049199[/C][/ROW]
[ROW][C]6[/C][C]0.101453[/C][C]0.7859[/C][C]0.217523[/C][/ROW]
[ROW][C]7[/C][C]0.050459[/C][C]0.3909[/C][C]0.348644[/C][/ROW]
[ROW][C]8[/C][C]-0.061959[/C][C]-0.4799[/C][C]0.683489[/C][/ROW]
[ROW][C]9[/C][C]-0.279083[/C][C]-2.1618[/C][C]0.982682[/C][/ROW]
[ROW][C]10[/C][C]0.049323[/C][C]0.3821[/C][C]0.351886[/C][/ROW]
[ROW][C]11[/C][C]0.439393[/C][C]3.4035[/C][C]0.000595[/C][/ROW]
[ROW][C]12[/C][C]-0.119555[/C][C]-0.9261[/C][C]0.820939[/C][/ROW]
[ROW][C]13[/C][C]-0.154959[/C][C]-1.2003[/C][C]0.882631[/C][/ROW]
[ROW][C]14[/C][C]-0.118168[/C][C]-0.9153[/C][C]0.818157[/C][/ROW]
[ROW][C]15[/C][C]0.054141[/C][C]0.4194[/C][C]0.338221[/C][/ROW]
[ROW][C]16[/C][C]-0.027324[/C][C]-0.2116[/C][C]0.583451[/C][/ROW]
[ROW][C]17[/C][C]-0.082927[/C][C]-0.6424[/C][C]0.738454[/C][/ROW]
[ROW][C]18[/C][C]-0.071658[/C][C]-0.5551[/C][C]0.709541[/C][/ROW]
[ROW][C]19[/C][C]-0.019263[/C][C]-0.1492[/C][C]0.559055[/C][/ROW]
[ROW][C]20[/C][C]0.062901[/C][C]0.4872[/C][C]0.313934[/C][/ROW]
[ROW][C]21[/C][C]-0.010324[/C][C]-0.08[/C][C]0.531737[/C][/ROW]
[ROW][C]22[/C][C]-0.005715[/C][C]-0.0443[/C][C]0.51758[/C][/ROW]
[ROW][C]23[/C][C]-0.070649[/C][C]-0.5472[/C][C]0.70688[/C][/ROW]
[ROW][C]24[/C][C]0.005873[/C][C]0.0455[/C][C]0.481934[/C][/ROW]
[ROW][C]25[/C][C]-0.134122[/C][C]-1.0389[/C][C]0.848491[/C][/ROW]
[ROW][C]26[/C][C]-0.106154[/C][C]-0.8223[/C][C]0.79291[/C][/ROW]
[ROW][C]27[/C][C]-0.019018[/C][C]-0.1473[/C][C]0.558309[/C][/ROW]
[ROW][C]28[/C][C]-0.133394[/C][C]-1.0333[/C][C]0.847187[/C][/ROW]
[ROW][C]29[/C][C]-0.085806[/C][C]-0.6647[/C][C]0.745591[/C][/ROW]
[ROW][C]30[/C][C]-0.116598[/C][C]-0.9032[/C][C]0.814975[/C][/ROW]
[ROW][C]31[/C][C]-0.048156[/C][C]-0.373[/C][C]0.644774[/C][/ROW]
[ROW][C]32[/C][C]0.037938[/C][C]0.2939[/C][C]0.384936[/C][/ROW]
[ROW][C]33[/C][C]0.061781[/C][C]0.4786[/C][C]0.316997[/C][/ROW]
[ROW][C]34[/C][C]-0.077407[/C][C]-0.5996[/C][C]0.724483[/C][/ROW]
[ROW][C]35[/C][C]0.04548[/C][C]0.3523[/C][C]0.362928[/C][/ROW]
[ROW][C]36[/C][C]-0.004445[/C][C]-0.0344[/C][C]0.513676[/C][/ROW]
[ROW][C]37[/C][C]0.185866[/C][C]1.4397[/C][C]0.077573[/C][/ROW]
[ROW][C]38[/C][C]0.044415[/C][C]0.344[/C][C]0.366011[/C][/ROW]
[ROW][C]39[/C][C]-0.100761[/C][C]-0.7805[/C][C]0.780916[/C][/ROW]
[ROW][C]40[/C][C]-0.034944[/C][C]-0.2707[/C][C]0.606216[/C][/ROW]
[ROW][C]41[/C][C]-0.094471[/C][C]-0.7318[/C][C]0.76642[/C][/ROW]
[ROW][C]42[/C][C]0.175112[/C][C]1.3564[/C][C]0.090025[/C][/ROW]
[ROW][C]43[/C][C]-0.106647[/C][C]-0.8261[/C][C]0.793985[/C][/ROW]
[ROW][C]44[/C][C]0.004666[/C][C]0.0361[/C][C]0.485643[/C][/ROW]
[ROW][C]45[/C][C]-0.096751[/C][C]-0.7494[/C][C]0.771737[/C][/ROW]
[ROW][C]46[/C][C]0.076696[/C][C]0.5941[/C][C]0.277345[/C][/ROW]
[ROW][C]47[/C][C]-0.004547[/C][C]-0.0352[/C][C]0.51399[/C][/ROW]
[ROW][C]48[/C][C]-0.067476[/C][C]-0.5227[/C][C]0.698435[/C][/ROW]
[ROW][C]49[/C][C]0.009714[/C][C]0.0752[/C][C]0.470136[/C][/ROW]
[ROW][C]50[/C][C]-0.022487[/C][C]-0.1742[/C][C]0.568846[/C][/ROW]
[ROW][C]51[/C][C]0.00789[/C][C]0.0611[/C][C]0.475735[/C][/ROW]
[ROW][C]52[/C][C]-0.046519[/C][C]-0.3603[/C][C]0.640068[/C][/ROW]
[ROW][C]53[/C][C]-0.087259[/C][C]-0.6759[/C][C]0.749152[/C][/ROW]
[ROW][C]54[/C][C]-0.016552[/C][C]-0.1282[/C][C]0.550794[/C][/ROW]
[ROW][C]55[/C][C]0.005645[/C][C]0.0437[/C][C]0.482634[/C][/ROW]
[ROW][C]56[/C][C]-0.058597[/C][C]-0.4539[/C][C]0.674227[/C][/ROW]
[ROW][C]57[/C][C]0.066191[/C][C]0.5127[/C][C]0.305018[/C][/ROW]
[ROW][C]58[/C][C]-0.00284[/C][C]-0.022[/C][C]0.50874[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4371&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4371&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
00.0848030.65690.256883
1-0.260396-2.0170.975913
20.1995521.54570.063715
3-0.316996-2.45540.991507
40.2705832.09590.020157
50.2167281.67880.049199
60.1014530.78590.217523
70.0504590.39090.348644
8-0.061959-0.47990.683489
9-0.279083-2.16180.982682
100.0493230.38210.351886
110.4393933.40350.000595
12-0.119555-0.92610.820939
13-0.154959-1.20030.882631
14-0.118168-0.91530.818157
150.0541410.41940.338221
16-0.027324-0.21160.583451
17-0.082927-0.64240.738454
18-0.071658-0.55510.709541
19-0.019263-0.14920.559055
200.0629010.48720.313934
21-0.010324-0.080.531737
22-0.005715-0.04430.51758
23-0.070649-0.54720.70688
240.0058730.04550.481934
25-0.134122-1.03890.848491
26-0.106154-0.82230.79291
27-0.019018-0.14730.558309
28-0.133394-1.03330.847187
29-0.085806-0.66470.745591
30-0.116598-0.90320.814975
31-0.048156-0.3730.644774
320.0379380.29390.384936
330.0617810.47860.316997
34-0.077407-0.59960.724483
350.045480.35230.362928
36-0.004445-0.03440.513676
370.1858661.43970.077573
380.0444150.3440.366011
39-0.100761-0.78050.780916
40-0.034944-0.27070.606216
41-0.094471-0.73180.76642
420.1751121.35640.090025
43-0.106647-0.82610.793985
440.0046660.03610.485643
45-0.096751-0.74940.771737
460.0766960.59410.277345
47-0.004547-0.03520.51399
48-0.067476-0.52270.698435
490.0097140.07520.470136
50-0.022487-0.17420.568846
510.007890.06110.475735
52-0.046519-0.36030.640068
53-0.087259-0.67590.749152
54-0.016552-0.12820.550794
550.0056450.04370.482634
56-0.058597-0.45390.674227
570.0661910.51270.305018
58-0.00284-0.0220.50874
59NANANA



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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')