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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 13:09:30 -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/Nov/29/t1196366352rrxkp4bcka6cye0.htm/, Retrieved Fri, 03 May 2024 14:09:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7594, Retrieved Fri, 03 May 2024 14:09:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact207
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inflatie d=0 & D=0] [2007-11-29 20:09:30] [5a8e7c1f041681f87e3014e302618e0c] [Current]
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Dataseries X:
1,6
1,6
1,4
1,7
1,8
1,9
2,2
2,1
2,4
2,6
2,8
2,7
2,6
2,9
2,8
2,2
2,2
2,2
2
2
1,7
1,4
1,3
1,4
1,3
1,3
1,4
2
1,7
1,8
1,7
1,6
1,7
1,9
1,8
1,7
1,6
1,8
1,6
1,5
1,5
1,3
1,4
1,4
1,3
1,3
1,2
1,1
1,4
1,2
1,5
1,1
1,3
1,5
1,1
1,4
1,3
1,5
1,6
1,7




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=7594&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=7594&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7594&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
10.8912826.90380
20.8294186.42460
30.7485155.7980
40.6385814.94643e-06
50.5337794.13465.6e-05
60.394683.05720.001667
70.2792112.16280.017278
80.1673871.29660.099871
90.0710910.55070.291953
100.0161130.12480.450545
11-0.072216-0.55940.711009
12-0.127194-0.98520.835769
13-0.094405-0.73130.766267
14-0.092673-0.71780.762179
15-0.066635-0.51620.696178
16-0.038977-0.30190.618121
17-0.019286-0.14940.559127
180.0125570.09730.461418
190.0472360.36590.357866
200.0676030.52360.301226
210.0794630.61550.270271
220.0570260.44170.33014
230.0695610.53880.296004
240.0357820.27720.391303
25-0.005289-0.0410.51627
26-0.029211-0.22630.589117
27-0.085269-0.66050.744266
28-0.110811-0.85830.802939
29-0.137704-1.06660.854798
30-0.170807-1.32310.904584
31-0.205532-1.5920.941685
32-0.241336-1.86940.966774
33-0.27417-2.12370.981087
34-0.29134-2.25670.98616
35-0.322554-2.49850.992385
36-0.324737-2.51540.992707
37-0.339882-2.63270.994622
38-0.338689-2.62350.99449
39-0.308466-2.38940.989981
40-0.301467-2.33520.988551
41-0.292443-2.26530.98644
42-0.258574-2.00290.975144
43-0.236452-1.83160.964008
44-0.194887-1.50960.931802
45-0.163989-1.27030.89555
46-0.134711-1.04350.84954
47-0.09247-0.71630.761698
48-0.075884-0.58780.720563
49-0.034454-0.26690.604762
50-0.020704-0.16040.563437
51-0.005198-0.04030.515993
520.0111170.08610.465832
530.0127150.09850.460936
540.0187690.14540.442449
550.0125350.09710.461487
560.0090020.06970.472321
570.0035780.02770.48899
580.001260.00980.496122
590.0001580.00120.499515

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.891282 & 6.9038 & 0 \tabularnewline
2 & 0.829418 & 6.4246 & 0 \tabularnewline
3 & 0.748515 & 5.798 & 0 \tabularnewline
4 & 0.638581 & 4.9464 & 3e-06 \tabularnewline
5 & 0.533779 & 4.1346 & 5.6e-05 \tabularnewline
6 & 0.39468 & 3.0572 & 0.001667 \tabularnewline
7 & 0.279211 & 2.1628 & 0.017278 \tabularnewline
8 & 0.167387 & 1.2966 & 0.099871 \tabularnewline
9 & 0.071091 & 0.5507 & 0.291953 \tabularnewline
10 & 0.016113 & 0.1248 & 0.450545 \tabularnewline
11 & -0.072216 & -0.5594 & 0.711009 \tabularnewline
12 & -0.127194 & -0.9852 & 0.835769 \tabularnewline
13 & -0.094405 & -0.7313 & 0.766267 \tabularnewline
14 & -0.092673 & -0.7178 & 0.762179 \tabularnewline
15 & -0.066635 & -0.5162 & 0.696178 \tabularnewline
16 & -0.038977 & -0.3019 & 0.618121 \tabularnewline
17 & -0.019286 & -0.1494 & 0.559127 \tabularnewline
18 & 0.012557 & 0.0973 & 0.461418 \tabularnewline
19 & 0.047236 & 0.3659 & 0.357866 \tabularnewline
20 & 0.067603 & 0.5236 & 0.301226 \tabularnewline
21 & 0.079463 & 0.6155 & 0.270271 \tabularnewline
22 & 0.057026 & 0.4417 & 0.33014 \tabularnewline
23 & 0.069561 & 0.5388 & 0.296004 \tabularnewline
24 & 0.035782 & 0.2772 & 0.391303 \tabularnewline
25 & -0.005289 & -0.041 & 0.51627 \tabularnewline
26 & -0.029211 & -0.2263 & 0.589117 \tabularnewline
27 & -0.085269 & -0.6605 & 0.744266 \tabularnewline
28 & -0.110811 & -0.8583 & 0.802939 \tabularnewline
29 & -0.137704 & -1.0666 & 0.854798 \tabularnewline
30 & -0.170807 & -1.3231 & 0.904584 \tabularnewline
31 & -0.205532 & -1.592 & 0.941685 \tabularnewline
32 & -0.241336 & -1.8694 & 0.966774 \tabularnewline
33 & -0.27417 & -2.1237 & 0.981087 \tabularnewline
34 & -0.29134 & -2.2567 & 0.98616 \tabularnewline
35 & -0.322554 & -2.4985 & 0.992385 \tabularnewline
36 & -0.324737 & -2.5154 & 0.992707 \tabularnewline
37 & -0.339882 & -2.6327 & 0.994622 \tabularnewline
38 & -0.338689 & -2.6235 & 0.99449 \tabularnewline
39 & -0.308466 & -2.3894 & 0.989981 \tabularnewline
40 & -0.301467 & -2.3352 & 0.988551 \tabularnewline
41 & -0.292443 & -2.2653 & 0.98644 \tabularnewline
42 & -0.258574 & -2.0029 & 0.975144 \tabularnewline
43 & -0.236452 & -1.8316 & 0.964008 \tabularnewline
44 & -0.194887 & -1.5096 & 0.931802 \tabularnewline
45 & -0.163989 & -1.2703 & 0.89555 \tabularnewline
46 & -0.134711 & -1.0435 & 0.84954 \tabularnewline
47 & -0.09247 & -0.7163 & 0.761698 \tabularnewline
48 & -0.075884 & -0.5878 & 0.720563 \tabularnewline
49 & -0.034454 & -0.2669 & 0.604762 \tabularnewline
50 & -0.020704 & -0.1604 & 0.563437 \tabularnewline
51 & -0.005198 & -0.0403 & 0.515993 \tabularnewline
52 & 0.011117 & 0.0861 & 0.465832 \tabularnewline
53 & 0.012715 & 0.0985 & 0.460936 \tabularnewline
54 & 0.018769 & 0.1454 & 0.442449 \tabularnewline
55 & 0.012535 & 0.0971 & 0.461487 \tabularnewline
56 & 0.009002 & 0.0697 & 0.472321 \tabularnewline
57 & 0.003578 & 0.0277 & 0.48899 \tabularnewline
58 & 0.00126 & 0.0098 & 0.496122 \tabularnewline
59 & 0.000158 & 0.0012 & 0.499515 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7594&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]0.891282[/C][C]6.9038[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.829418[/C][C]6.4246[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.748515[/C][C]5.798[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.638581[/C][C]4.9464[/C][C]3e-06[/C][/ROW]
[ROW][C]5[/C][C]0.533779[/C][C]4.1346[/C][C]5.6e-05[/C][/ROW]
[ROW][C]6[/C][C]0.39468[/C][C]3.0572[/C][C]0.001667[/C][/ROW]
[ROW][C]7[/C][C]0.279211[/C][C]2.1628[/C][C]0.017278[/C][/ROW]
[ROW][C]8[/C][C]0.167387[/C][C]1.2966[/C][C]0.099871[/C][/ROW]
[ROW][C]9[/C][C]0.071091[/C][C]0.5507[/C][C]0.291953[/C][/ROW]
[ROW][C]10[/C][C]0.016113[/C][C]0.1248[/C][C]0.450545[/C][/ROW]
[ROW][C]11[/C][C]-0.072216[/C][C]-0.5594[/C][C]0.711009[/C][/ROW]
[ROW][C]12[/C][C]-0.127194[/C][C]-0.9852[/C][C]0.835769[/C][/ROW]
[ROW][C]13[/C][C]-0.094405[/C][C]-0.7313[/C][C]0.766267[/C][/ROW]
[ROW][C]14[/C][C]-0.092673[/C][C]-0.7178[/C][C]0.762179[/C][/ROW]
[ROW][C]15[/C][C]-0.066635[/C][C]-0.5162[/C][C]0.696178[/C][/ROW]
[ROW][C]16[/C][C]-0.038977[/C][C]-0.3019[/C][C]0.618121[/C][/ROW]
[ROW][C]17[/C][C]-0.019286[/C][C]-0.1494[/C][C]0.559127[/C][/ROW]
[ROW][C]18[/C][C]0.012557[/C][C]0.0973[/C][C]0.461418[/C][/ROW]
[ROW][C]19[/C][C]0.047236[/C][C]0.3659[/C][C]0.357866[/C][/ROW]
[ROW][C]20[/C][C]0.067603[/C][C]0.5236[/C][C]0.301226[/C][/ROW]
[ROW][C]21[/C][C]0.079463[/C][C]0.6155[/C][C]0.270271[/C][/ROW]
[ROW][C]22[/C][C]0.057026[/C][C]0.4417[/C][C]0.33014[/C][/ROW]
[ROW][C]23[/C][C]0.069561[/C][C]0.5388[/C][C]0.296004[/C][/ROW]
[ROW][C]24[/C][C]0.035782[/C][C]0.2772[/C][C]0.391303[/C][/ROW]
[ROW][C]25[/C][C]-0.005289[/C][C]-0.041[/C][C]0.51627[/C][/ROW]
[ROW][C]26[/C][C]-0.029211[/C][C]-0.2263[/C][C]0.589117[/C][/ROW]
[ROW][C]27[/C][C]-0.085269[/C][C]-0.6605[/C][C]0.744266[/C][/ROW]
[ROW][C]28[/C][C]-0.110811[/C][C]-0.8583[/C][C]0.802939[/C][/ROW]
[ROW][C]29[/C][C]-0.137704[/C][C]-1.0666[/C][C]0.854798[/C][/ROW]
[ROW][C]30[/C][C]-0.170807[/C][C]-1.3231[/C][C]0.904584[/C][/ROW]
[ROW][C]31[/C][C]-0.205532[/C][C]-1.592[/C][C]0.941685[/C][/ROW]
[ROW][C]32[/C][C]-0.241336[/C][C]-1.8694[/C][C]0.966774[/C][/ROW]
[ROW][C]33[/C][C]-0.27417[/C][C]-2.1237[/C][C]0.981087[/C][/ROW]
[ROW][C]34[/C][C]-0.29134[/C][C]-2.2567[/C][C]0.98616[/C][/ROW]
[ROW][C]35[/C][C]-0.322554[/C][C]-2.4985[/C][C]0.992385[/C][/ROW]
[ROW][C]36[/C][C]-0.324737[/C][C]-2.5154[/C][C]0.992707[/C][/ROW]
[ROW][C]37[/C][C]-0.339882[/C][C]-2.6327[/C][C]0.994622[/C][/ROW]
[ROW][C]38[/C][C]-0.338689[/C][C]-2.6235[/C][C]0.99449[/C][/ROW]
[ROW][C]39[/C][C]-0.308466[/C][C]-2.3894[/C][C]0.989981[/C][/ROW]
[ROW][C]40[/C][C]-0.301467[/C][C]-2.3352[/C][C]0.988551[/C][/ROW]
[ROW][C]41[/C][C]-0.292443[/C][C]-2.2653[/C][C]0.98644[/C][/ROW]
[ROW][C]42[/C][C]-0.258574[/C][C]-2.0029[/C][C]0.975144[/C][/ROW]
[ROW][C]43[/C][C]-0.236452[/C][C]-1.8316[/C][C]0.964008[/C][/ROW]
[ROW][C]44[/C][C]-0.194887[/C][C]-1.5096[/C][C]0.931802[/C][/ROW]
[ROW][C]45[/C][C]-0.163989[/C][C]-1.2703[/C][C]0.89555[/C][/ROW]
[ROW][C]46[/C][C]-0.134711[/C][C]-1.0435[/C][C]0.84954[/C][/ROW]
[ROW][C]47[/C][C]-0.09247[/C][C]-0.7163[/C][C]0.761698[/C][/ROW]
[ROW][C]48[/C][C]-0.075884[/C][C]-0.5878[/C][C]0.720563[/C][/ROW]
[ROW][C]49[/C][C]-0.034454[/C][C]-0.2669[/C][C]0.604762[/C][/ROW]
[ROW][C]50[/C][C]-0.020704[/C][C]-0.1604[/C][C]0.563437[/C][/ROW]
[ROW][C]51[/C][C]-0.005198[/C][C]-0.0403[/C][C]0.515993[/C][/ROW]
[ROW][C]52[/C][C]0.011117[/C][C]0.0861[/C][C]0.465832[/C][/ROW]
[ROW][C]53[/C][C]0.012715[/C][C]0.0985[/C][C]0.460936[/C][/ROW]
[ROW][C]54[/C][C]0.018769[/C][C]0.1454[/C][C]0.442449[/C][/ROW]
[ROW][C]55[/C][C]0.012535[/C][C]0.0971[/C][C]0.461487[/C][/ROW]
[ROW][C]56[/C][C]0.009002[/C][C]0.0697[/C][C]0.472321[/C][/ROW]
[ROW][C]57[/C][C]0.003578[/C][C]0.0277[/C][C]0.48899[/C][/ROW]
[ROW][C]58[/C][C]0.00126[/C][C]0.0098[/C][C]0.496122[/C][/ROW]
[ROW][C]59[/C][C]0.000158[/C][C]0.0012[/C][C]0.499515[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7594&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7594&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
10.8912826.90380
20.8294186.42460
30.7485155.7980
40.6385814.94643e-06
50.5337794.13465.6e-05
60.394683.05720.001667
70.2792112.16280.017278
80.1673871.29660.099871
90.0710910.55070.291953
100.0161130.12480.450545
11-0.072216-0.55940.711009
12-0.127194-0.98520.835769
13-0.094405-0.73130.766267
14-0.092673-0.71780.762179
15-0.066635-0.51620.696178
16-0.038977-0.30190.618121
17-0.019286-0.14940.559127
180.0125570.09730.461418
190.0472360.36590.357866
200.0676030.52360.301226
210.0794630.61550.270271
220.0570260.44170.33014
230.0695610.53880.296004
240.0357820.27720.391303
25-0.005289-0.0410.51627
26-0.029211-0.22630.589117
27-0.085269-0.66050.744266
28-0.110811-0.85830.802939
29-0.137704-1.06660.854798
30-0.170807-1.32310.904584
31-0.205532-1.5920.941685
32-0.241336-1.86940.966774
33-0.27417-2.12370.981087
34-0.29134-2.25670.98616
35-0.322554-2.49850.992385
36-0.324737-2.51540.992707
37-0.339882-2.63270.994622
38-0.338689-2.62350.99449
39-0.308466-2.38940.989981
40-0.301467-2.33520.988551
41-0.292443-2.26530.98644
42-0.258574-2.00290.975144
43-0.236452-1.83160.964008
44-0.194887-1.50960.931802
45-0.163989-1.27030.89555
46-0.134711-1.04350.84954
47-0.09247-0.71630.761698
48-0.075884-0.58780.720563
49-0.034454-0.26690.604762
50-0.020704-0.16040.563437
51-0.005198-0.04030.515993
520.0111170.08610.465832
530.0127150.09850.460936
540.0187690.14540.442449
550.0125350.09710.461487
560.0090020.06970.472321
570.0035780.02770.48899
580.001260.00980.496122
590.0001580.00120.499515







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8912826.90380
10.1703861.31980.095957
2-0.083323-0.64540.73944
3-0.220265-1.70620.953426
4-0.105498-0.81720.791471
5-0.233667-1.810.962346
6-0.029317-0.22710.589436
7-0.007502-0.05810.523074
80.0538980.41750.338905
90.1710861.32520.09506
10-0.147733-1.14430.871486
11-0.062195-0.48180.684137
120.4110093.18370.001153
130.0217590.16850.433361
14-0.076174-0.590.72131
15-0.039046-0.30250.618323
16-0.151074-1.17020.876728
17-0.113698-0.88070.809002
180.1492381.1560.126133
19-0.060052-0.46520.678249
200.0561480.43490.332591
21-0.106275-0.82320.793174
22-0.068211-0.52840.700401
23-0.092563-0.7170.761919
240.1315191.01870.156208
250.0338420.26210.397057
26-0.064438-0.49910.690246
270.0149210.11560.454186
28-0.066992-0.51890.697136
29-0.088713-0.68720.752687
30-0.025886-0.20050.579121
31-0.065743-0.50920.693776
32-0.18304-1.41780.919293
330.0023460.01820.492781
34-0.04376-0.3390.63209
35-0.024458-0.18950.574811
360.0859230.66560.254122
370.0634550.49150.312427
380.0601450.46590.321494
390.0107090.0830.467082
40-0.152353-1.18010.878696
410.0080960.06270.475103
420.0051350.03980.484201
43-0.035102-0.27190.606683
44-0.036234-0.28070.610034
450.0174340.1350.446515
460.0348450.26990.394079
47-0.029749-0.23040.590732
480.0143480.11110.45594
490.0505850.39180.348287
500.1026090.79480.21493
51-0.082261-0.63720.736788
52-0.094741-0.73390.767055
530.0732070.56710.286395
54-0.064994-0.50340.69175
550.0857850.66450.254461
56-0.016042-0.12430.549237
57-0.009016-0.06980.527724
58-0.035996-0.27880.60933
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.891282 & 6.9038 & 0 \tabularnewline
1 & 0.170386 & 1.3198 & 0.095957 \tabularnewline
2 & -0.083323 & -0.6454 & 0.73944 \tabularnewline
3 & -0.220265 & -1.7062 & 0.953426 \tabularnewline
4 & -0.105498 & -0.8172 & 0.791471 \tabularnewline
5 & -0.233667 & -1.81 & 0.962346 \tabularnewline
6 & -0.029317 & -0.2271 & 0.589436 \tabularnewline
7 & -0.007502 & -0.0581 & 0.523074 \tabularnewline
8 & 0.053898 & 0.4175 & 0.338905 \tabularnewline
9 & 0.171086 & 1.3252 & 0.09506 \tabularnewline
10 & -0.147733 & -1.1443 & 0.871486 \tabularnewline
11 & -0.062195 & -0.4818 & 0.684137 \tabularnewline
12 & 0.411009 & 3.1837 & 0.001153 \tabularnewline
13 & 0.021759 & 0.1685 & 0.433361 \tabularnewline
14 & -0.076174 & -0.59 & 0.72131 \tabularnewline
15 & -0.039046 & -0.3025 & 0.618323 \tabularnewline
16 & -0.151074 & -1.1702 & 0.876728 \tabularnewline
17 & -0.113698 & -0.8807 & 0.809002 \tabularnewline
18 & 0.149238 & 1.156 & 0.126133 \tabularnewline
19 & -0.060052 & -0.4652 & 0.678249 \tabularnewline
20 & 0.056148 & 0.4349 & 0.332591 \tabularnewline
21 & -0.106275 & -0.8232 & 0.793174 \tabularnewline
22 & -0.068211 & -0.5284 & 0.700401 \tabularnewline
23 & -0.092563 & -0.717 & 0.761919 \tabularnewline
24 & 0.131519 & 1.0187 & 0.156208 \tabularnewline
25 & 0.033842 & 0.2621 & 0.397057 \tabularnewline
26 & -0.064438 & -0.4991 & 0.690246 \tabularnewline
27 & 0.014921 & 0.1156 & 0.454186 \tabularnewline
28 & -0.066992 & -0.5189 & 0.697136 \tabularnewline
29 & -0.088713 & -0.6872 & 0.752687 \tabularnewline
30 & -0.025886 & -0.2005 & 0.579121 \tabularnewline
31 & -0.065743 & -0.5092 & 0.693776 \tabularnewline
32 & -0.18304 & -1.4178 & 0.919293 \tabularnewline
33 & 0.002346 & 0.0182 & 0.492781 \tabularnewline
34 & -0.04376 & -0.339 & 0.63209 \tabularnewline
35 & -0.024458 & -0.1895 & 0.574811 \tabularnewline
36 & 0.085923 & 0.6656 & 0.254122 \tabularnewline
37 & 0.063455 & 0.4915 & 0.312427 \tabularnewline
38 & 0.060145 & 0.4659 & 0.321494 \tabularnewline
39 & 0.010709 & 0.083 & 0.467082 \tabularnewline
40 & -0.152353 & -1.1801 & 0.878696 \tabularnewline
41 & 0.008096 & 0.0627 & 0.475103 \tabularnewline
42 & 0.005135 & 0.0398 & 0.484201 \tabularnewline
43 & -0.035102 & -0.2719 & 0.606683 \tabularnewline
44 & -0.036234 & -0.2807 & 0.610034 \tabularnewline
45 & 0.017434 & 0.135 & 0.446515 \tabularnewline
46 & 0.034845 & 0.2699 & 0.394079 \tabularnewline
47 & -0.029749 & -0.2304 & 0.590732 \tabularnewline
48 & 0.014348 & 0.1111 & 0.45594 \tabularnewline
49 & 0.050585 & 0.3918 & 0.348287 \tabularnewline
50 & 0.102609 & 0.7948 & 0.21493 \tabularnewline
51 & -0.082261 & -0.6372 & 0.736788 \tabularnewline
52 & -0.094741 & -0.7339 & 0.767055 \tabularnewline
53 & 0.073207 & 0.5671 & 0.286395 \tabularnewline
54 & -0.064994 & -0.5034 & 0.69175 \tabularnewline
55 & 0.085785 & 0.6645 & 0.254461 \tabularnewline
56 & -0.016042 & -0.1243 & 0.549237 \tabularnewline
57 & -0.009016 & -0.0698 & 0.527724 \tabularnewline
58 & -0.035996 & -0.2788 & 0.60933 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7594&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]0.891282[/C][C]6.9038[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.170386[/C][C]1.3198[/C][C]0.095957[/C][/ROW]
[ROW][C]2[/C][C]-0.083323[/C][C]-0.6454[/C][C]0.73944[/C][/ROW]
[ROW][C]3[/C][C]-0.220265[/C][C]-1.7062[/C][C]0.953426[/C][/ROW]
[ROW][C]4[/C][C]-0.105498[/C][C]-0.8172[/C][C]0.791471[/C][/ROW]
[ROW][C]5[/C][C]-0.233667[/C][C]-1.81[/C][C]0.962346[/C][/ROW]
[ROW][C]6[/C][C]-0.029317[/C][C]-0.2271[/C][C]0.589436[/C][/ROW]
[ROW][C]7[/C][C]-0.007502[/C][C]-0.0581[/C][C]0.523074[/C][/ROW]
[ROW][C]8[/C][C]0.053898[/C][C]0.4175[/C][C]0.338905[/C][/ROW]
[ROW][C]9[/C][C]0.171086[/C][C]1.3252[/C][C]0.09506[/C][/ROW]
[ROW][C]10[/C][C]-0.147733[/C][C]-1.1443[/C][C]0.871486[/C][/ROW]
[ROW][C]11[/C][C]-0.062195[/C][C]-0.4818[/C][C]0.684137[/C][/ROW]
[ROW][C]12[/C][C]0.411009[/C][C]3.1837[/C][C]0.001153[/C][/ROW]
[ROW][C]13[/C][C]0.021759[/C][C]0.1685[/C][C]0.433361[/C][/ROW]
[ROW][C]14[/C][C]-0.076174[/C][C]-0.59[/C][C]0.72131[/C][/ROW]
[ROW][C]15[/C][C]-0.039046[/C][C]-0.3025[/C][C]0.618323[/C][/ROW]
[ROW][C]16[/C][C]-0.151074[/C][C]-1.1702[/C][C]0.876728[/C][/ROW]
[ROW][C]17[/C][C]-0.113698[/C][C]-0.8807[/C][C]0.809002[/C][/ROW]
[ROW][C]18[/C][C]0.149238[/C][C]1.156[/C][C]0.126133[/C][/ROW]
[ROW][C]19[/C][C]-0.060052[/C][C]-0.4652[/C][C]0.678249[/C][/ROW]
[ROW][C]20[/C][C]0.056148[/C][C]0.4349[/C][C]0.332591[/C][/ROW]
[ROW][C]21[/C][C]-0.106275[/C][C]-0.8232[/C][C]0.793174[/C][/ROW]
[ROW][C]22[/C][C]-0.068211[/C][C]-0.5284[/C][C]0.700401[/C][/ROW]
[ROW][C]23[/C][C]-0.092563[/C][C]-0.717[/C][C]0.761919[/C][/ROW]
[ROW][C]24[/C][C]0.131519[/C][C]1.0187[/C][C]0.156208[/C][/ROW]
[ROW][C]25[/C][C]0.033842[/C][C]0.2621[/C][C]0.397057[/C][/ROW]
[ROW][C]26[/C][C]-0.064438[/C][C]-0.4991[/C][C]0.690246[/C][/ROW]
[ROW][C]27[/C][C]0.014921[/C][C]0.1156[/C][C]0.454186[/C][/ROW]
[ROW][C]28[/C][C]-0.066992[/C][C]-0.5189[/C][C]0.697136[/C][/ROW]
[ROW][C]29[/C][C]-0.088713[/C][C]-0.6872[/C][C]0.752687[/C][/ROW]
[ROW][C]30[/C][C]-0.025886[/C][C]-0.2005[/C][C]0.579121[/C][/ROW]
[ROW][C]31[/C][C]-0.065743[/C][C]-0.5092[/C][C]0.693776[/C][/ROW]
[ROW][C]32[/C][C]-0.18304[/C][C]-1.4178[/C][C]0.919293[/C][/ROW]
[ROW][C]33[/C][C]0.002346[/C][C]0.0182[/C][C]0.492781[/C][/ROW]
[ROW][C]34[/C][C]-0.04376[/C][C]-0.339[/C][C]0.63209[/C][/ROW]
[ROW][C]35[/C][C]-0.024458[/C][C]-0.1895[/C][C]0.574811[/C][/ROW]
[ROW][C]36[/C][C]0.085923[/C][C]0.6656[/C][C]0.254122[/C][/ROW]
[ROW][C]37[/C][C]0.063455[/C][C]0.4915[/C][C]0.312427[/C][/ROW]
[ROW][C]38[/C][C]0.060145[/C][C]0.4659[/C][C]0.321494[/C][/ROW]
[ROW][C]39[/C][C]0.010709[/C][C]0.083[/C][C]0.467082[/C][/ROW]
[ROW][C]40[/C][C]-0.152353[/C][C]-1.1801[/C][C]0.878696[/C][/ROW]
[ROW][C]41[/C][C]0.008096[/C][C]0.0627[/C][C]0.475103[/C][/ROW]
[ROW][C]42[/C][C]0.005135[/C][C]0.0398[/C][C]0.484201[/C][/ROW]
[ROW][C]43[/C][C]-0.035102[/C][C]-0.2719[/C][C]0.606683[/C][/ROW]
[ROW][C]44[/C][C]-0.036234[/C][C]-0.2807[/C][C]0.610034[/C][/ROW]
[ROW][C]45[/C][C]0.017434[/C][C]0.135[/C][C]0.446515[/C][/ROW]
[ROW][C]46[/C][C]0.034845[/C][C]0.2699[/C][C]0.394079[/C][/ROW]
[ROW][C]47[/C][C]-0.029749[/C][C]-0.2304[/C][C]0.590732[/C][/ROW]
[ROW][C]48[/C][C]0.014348[/C][C]0.1111[/C][C]0.45594[/C][/ROW]
[ROW][C]49[/C][C]0.050585[/C][C]0.3918[/C][C]0.348287[/C][/ROW]
[ROW][C]50[/C][C]0.102609[/C][C]0.7948[/C][C]0.21493[/C][/ROW]
[ROW][C]51[/C][C]-0.082261[/C][C]-0.6372[/C][C]0.736788[/C][/ROW]
[ROW][C]52[/C][C]-0.094741[/C][C]-0.7339[/C][C]0.767055[/C][/ROW]
[ROW][C]53[/C][C]0.073207[/C][C]0.5671[/C][C]0.286395[/C][/ROW]
[ROW][C]54[/C][C]-0.064994[/C][C]-0.5034[/C][C]0.69175[/C][/ROW]
[ROW][C]55[/C][C]0.085785[/C][C]0.6645[/C][C]0.254461[/C][/ROW]
[ROW][C]56[/C][C]-0.016042[/C][C]-0.1243[/C][C]0.549237[/C][/ROW]
[ROW][C]57[/C][C]-0.009016[/C][C]-0.0698[/C][C]0.527724[/C][/ROW]
[ROW][C]58[/C][C]-0.035996[/C][C]-0.2788[/C][C]0.60933[/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=7594&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7594&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
00.8912826.90380
10.1703861.31980.095957
2-0.083323-0.64540.73944
3-0.220265-1.70620.953426
4-0.105498-0.81720.791471
5-0.233667-1.810.962346
6-0.029317-0.22710.589436
7-0.007502-0.05810.523074
80.0538980.41750.338905
90.1710861.32520.09506
10-0.147733-1.14430.871486
11-0.062195-0.48180.684137
120.4110093.18370.001153
130.0217590.16850.433361
14-0.076174-0.590.72131
15-0.039046-0.30250.618323
16-0.151074-1.17020.876728
17-0.113698-0.88070.809002
180.1492381.1560.126133
19-0.060052-0.46520.678249
200.0561480.43490.332591
21-0.106275-0.82320.793174
22-0.068211-0.52840.700401
23-0.092563-0.7170.761919
240.1315191.01870.156208
250.0338420.26210.397057
26-0.064438-0.49910.690246
270.0149210.11560.454186
28-0.066992-0.51890.697136
29-0.088713-0.68720.752687
30-0.025886-0.20050.579121
31-0.065743-0.50920.693776
32-0.18304-1.41780.919293
330.0023460.01820.492781
34-0.04376-0.3390.63209
35-0.024458-0.18950.574811
360.0859230.66560.254122
370.0634550.49150.312427
380.0601450.46590.321494
390.0107090.0830.467082
40-0.152353-1.18010.878696
410.0080960.06270.475103
420.0051350.03980.484201
43-0.035102-0.27190.606683
44-0.036234-0.28070.610034
450.0174340.1350.446515
460.0348450.26990.394079
47-0.029749-0.23040.590732
480.0143480.11110.45594
490.0505850.39180.348287
500.1026090.79480.21493
51-0.082261-0.63720.736788
52-0.094741-0.73390.767055
530.0732070.56710.286395
54-0.064994-0.50340.69175
550.0857850.66450.254461
56-0.016042-0.12430.549237
57-0.009016-0.06980.527724
58-0.035996-0.27880.60933
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')