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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 computationFri, 19 Dec 2008 03:50:23 -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/19/t1229683903wdz51mcdux782xl.htm/, Retrieved Wed, 15 May 2024 04:48:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35041, Retrieved Wed, 15 May 2024 04:48:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact198
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   P       [(Partial) Autocorrelation Function] [auto corr cons] [2008-12-19 10:50:23] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
99.3
98.7
107.9
101.0
97.6
103.0
94.1
94.1
115.1
116.5
103.4
112.5
95.6
97.5
119.3
100.9
97.7
115.3
92.8
99.2
118.7
110.1
110.3
112.9
102.2
99.4
116.1
103.8
101.8
113.7
89.7
99.5
122.9
108.6
114.4
110.5
104.1
103.6
121.6
101.1
116.0
120.1
96.0
105.0
124.7
123.9
123.6
114.8
108.8
106.1
123.2
106.2
115.2
120.6
109.5
114.4
121.4
129.5
124.3
112.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 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=35041&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]4 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=35041&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35041&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2187821.69470.047661
20.0274460.21260.41618
30.368792.85660.002937
4-0.0444-0.34390.366053
50.1002450.77650.220253
60.5232244.05297.4e-05
70.0186960.14480.44267
8-0.034237-0.26520.395884
90.2822562.18630.016351
10-0.103738-0.80350.212415
110.1131630.87660.192111
120.65175.0482e-06
130.0501710.38860.349466
14-0.044872-0.34760.364686
150.1483391.1490.127552
16-0.197498-1.52980.06566
17-0.008079-0.06260.475155
180.2981782.30970.012182
19-0.096788-0.74970.228177
20-0.085794-0.66460.254439
210.0979770.75890.225435
22-0.220821-1.71050.046173
230.0424490.32880.371722
240.3180492.46360.00832
25-0.069586-0.5390.295937
26-0.078493-0.6080.27274
27-0.010275-0.07960.468416
28-0.256904-1.990.025579
29-0.071104-0.55080.291919
300.0911290.70590.241496
31-0.115938-0.89810.186374
32-0.095804-0.74210.230463
33-0.046786-0.36240.359162
34-0.207394-1.60650.056711
35-0.026912-0.20850.41779
360.1267490.98180.165072
37-0.084501-0.65450.257633
38-0.126063-0.97650.166373
39-0.113832-0.88170.190719
40-0.237608-1.84050.03532
41-0.125957-0.97570.166575
42-0.058409-0.45240.326294
43-0.119814-0.92810.178544
44-0.115411-0.8940.187456
45-0.13204-1.02280.15526
46-0.13691-1.06050.146584
47-0.057773-0.44750.328061
48-0.003593-0.02780.488944
49-0.05632-0.43630.332111
50-0.109238-0.84620.200415
51-0.12339-0.95580.171511
52-0.134723-1.04360.150438
53-0.107752-0.83460.203614
54-0.078458-0.60770.272828
55-0.066031-0.51150.305447
56-0.069553-0.53880.296025
57-0.066516-0.51520.304143
58-0.032637-0.25280.400641
59-0.005395-0.04180.483403
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.218782 & 1.6947 & 0.047661 \tabularnewline
2 & 0.027446 & 0.2126 & 0.41618 \tabularnewline
3 & 0.36879 & 2.8566 & 0.002937 \tabularnewline
4 & -0.0444 & -0.3439 & 0.366053 \tabularnewline
5 & 0.100245 & 0.7765 & 0.220253 \tabularnewline
6 & 0.523224 & 4.0529 & 7.4e-05 \tabularnewline
7 & 0.018696 & 0.1448 & 0.44267 \tabularnewline
8 & -0.034237 & -0.2652 & 0.395884 \tabularnewline
9 & 0.282256 & 2.1863 & 0.016351 \tabularnewline
10 & -0.103738 & -0.8035 & 0.212415 \tabularnewline
11 & 0.113163 & 0.8766 & 0.192111 \tabularnewline
12 & 0.6517 & 5.048 & 2e-06 \tabularnewline
13 & 0.050171 & 0.3886 & 0.349466 \tabularnewline
14 & -0.044872 & -0.3476 & 0.364686 \tabularnewline
15 & 0.148339 & 1.149 & 0.127552 \tabularnewline
16 & -0.197498 & -1.5298 & 0.06566 \tabularnewline
17 & -0.008079 & -0.0626 & 0.475155 \tabularnewline
18 & 0.298178 & 2.3097 & 0.012182 \tabularnewline
19 & -0.096788 & -0.7497 & 0.228177 \tabularnewline
20 & -0.085794 & -0.6646 & 0.254439 \tabularnewline
21 & 0.097977 & 0.7589 & 0.225435 \tabularnewline
22 & -0.220821 & -1.7105 & 0.046173 \tabularnewline
23 & 0.042449 & 0.3288 & 0.371722 \tabularnewline
24 & 0.318049 & 2.4636 & 0.00832 \tabularnewline
25 & -0.069586 & -0.539 & 0.295937 \tabularnewline
26 & -0.078493 & -0.608 & 0.27274 \tabularnewline
27 & -0.010275 & -0.0796 & 0.468416 \tabularnewline
28 & -0.256904 & -1.99 & 0.025579 \tabularnewline
29 & -0.071104 & -0.5508 & 0.291919 \tabularnewline
30 & 0.091129 & 0.7059 & 0.241496 \tabularnewline
31 & -0.115938 & -0.8981 & 0.186374 \tabularnewline
32 & -0.095804 & -0.7421 & 0.230463 \tabularnewline
33 & -0.046786 & -0.3624 & 0.359162 \tabularnewline
34 & -0.207394 & -1.6065 & 0.056711 \tabularnewline
35 & -0.026912 & -0.2085 & 0.41779 \tabularnewline
36 & 0.126749 & 0.9818 & 0.165072 \tabularnewline
37 & -0.084501 & -0.6545 & 0.257633 \tabularnewline
38 & -0.126063 & -0.9765 & 0.166373 \tabularnewline
39 & -0.113832 & -0.8817 & 0.190719 \tabularnewline
40 & -0.237608 & -1.8405 & 0.03532 \tabularnewline
41 & -0.125957 & -0.9757 & 0.166575 \tabularnewline
42 & -0.058409 & -0.4524 & 0.326294 \tabularnewline
43 & -0.119814 & -0.9281 & 0.178544 \tabularnewline
44 & -0.115411 & -0.894 & 0.187456 \tabularnewline
45 & -0.13204 & -1.0228 & 0.15526 \tabularnewline
46 & -0.13691 & -1.0605 & 0.146584 \tabularnewline
47 & -0.057773 & -0.4475 & 0.328061 \tabularnewline
48 & -0.003593 & -0.0278 & 0.488944 \tabularnewline
49 & -0.05632 & -0.4363 & 0.332111 \tabularnewline
50 & -0.109238 & -0.8462 & 0.200415 \tabularnewline
51 & -0.12339 & -0.9558 & 0.171511 \tabularnewline
52 & -0.134723 & -1.0436 & 0.150438 \tabularnewline
53 & -0.107752 & -0.8346 & 0.203614 \tabularnewline
54 & -0.078458 & -0.6077 & 0.272828 \tabularnewline
55 & -0.066031 & -0.5115 & 0.305447 \tabularnewline
56 & -0.069553 & -0.5388 & 0.296025 \tabularnewline
57 & -0.066516 & -0.5152 & 0.304143 \tabularnewline
58 & -0.032637 & -0.2528 & 0.400641 \tabularnewline
59 & -0.005395 & -0.0418 & 0.483403 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35041&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]0.218782[/C][C]1.6947[/C][C]0.047661[/C][/ROW]
[ROW][C]2[/C][C]0.027446[/C][C]0.2126[/C][C]0.41618[/C][/ROW]
[ROW][C]3[/C][C]0.36879[/C][C]2.8566[/C][C]0.002937[/C][/ROW]
[ROW][C]4[/C][C]-0.0444[/C][C]-0.3439[/C][C]0.366053[/C][/ROW]
[ROW][C]5[/C][C]0.100245[/C][C]0.7765[/C][C]0.220253[/C][/ROW]
[ROW][C]6[/C][C]0.523224[/C][C]4.0529[/C][C]7.4e-05[/C][/ROW]
[ROW][C]7[/C][C]0.018696[/C][C]0.1448[/C][C]0.44267[/C][/ROW]
[ROW][C]8[/C][C]-0.034237[/C][C]-0.2652[/C][C]0.395884[/C][/ROW]
[ROW][C]9[/C][C]0.282256[/C][C]2.1863[/C][C]0.016351[/C][/ROW]
[ROW][C]10[/C][C]-0.103738[/C][C]-0.8035[/C][C]0.212415[/C][/ROW]
[ROW][C]11[/C][C]0.113163[/C][C]0.8766[/C][C]0.192111[/C][/ROW]
[ROW][C]12[/C][C]0.6517[/C][C]5.048[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.050171[/C][C]0.3886[/C][C]0.349466[/C][/ROW]
[ROW][C]14[/C][C]-0.044872[/C][C]-0.3476[/C][C]0.364686[/C][/ROW]
[ROW][C]15[/C][C]0.148339[/C][C]1.149[/C][C]0.127552[/C][/ROW]
[ROW][C]16[/C][C]-0.197498[/C][C]-1.5298[/C][C]0.06566[/C][/ROW]
[ROW][C]17[/C][C]-0.008079[/C][C]-0.0626[/C][C]0.475155[/C][/ROW]
[ROW][C]18[/C][C]0.298178[/C][C]2.3097[/C][C]0.012182[/C][/ROW]
[ROW][C]19[/C][C]-0.096788[/C][C]-0.7497[/C][C]0.228177[/C][/ROW]
[ROW][C]20[/C][C]-0.085794[/C][C]-0.6646[/C][C]0.254439[/C][/ROW]
[ROW][C]21[/C][C]0.097977[/C][C]0.7589[/C][C]0.225435[/C][/ROW]
[ROW][C]22[/C][C]-0.220821[/C][C]-1.7105[/C][C]0.046173[/C][/ROW]
[ROW][C]23[/C][C]0.042449[/C][C]0.3288[/C][C]0.371722[/C][/ROW]
[ROW][C]24[/C][C]0.318049[/C][C]2.4636[/C][C]0.00832[/C][/ROW]
[ROW][C]25[/C][C]-0.069586[/C][C]-0.539[/C][C]0.295937[/C][/ROW]
[ROW][C]26[/C][C]-0.078493[/C][C]-0.608[/C][C]0.27274[/C][/ROW]
[ROW][C]27[/C][C]-0.010275[/C][C]-0.0796[/C][C]0.468416[/C][/ROW]
[ROW][C]28[/C][C]-0.256904[/C][C]-1.99[/C][C]0.025579[/C][/ROW]
[ROW][C]29[/C][C]-0.071104[/C][C]-0.5508[/C][C]0.291919[/C][/ROW]
[ROW][C]30[/C][C]0.091129[/C][C]0.7059[/C][C]0.241496[/C][/ROW]
[ROW][C]31[/C][C]-0.115938[/C][C]-0.8981[/C][C]0.186374[/C][/ROW]
[ROW][C]32[/C][C]-0.095804[/C][C]-0.7421[/C][C]0.230463[/C][/ROW]
[ROW][C]33[/C][C]-0.046786[/C][C]-0.3624[/C][C]0.359162[/C][/ROW]
[ROW][C]34[/C][C]-0.207394[/C][C]-1.6065[/C][C]0.056711[/C][/ROW]
[ROW][C]35[/C][C]-0.026912[/C][C]-0.2085[/C][C]0.41779[/C][/ROW]
[ROW][C]36[/C][C]0.126749[/C][C]0.9818[/C][C]0.165072[/C][/ROW]
[ROW][C]37[/C][C]-0.084501[/C][C]-0.6545[/C][C]0.257633[/C][/ROW]
[ROW][C]38[/C][C]-0.126063[/C][C]-0.9765[/C][C]0.166373[/C][/ROW]
[ROW][C]39[/C][C]-0.113832[/C][C]-0.8817[/C][C]0.190719[/C][/ROW]
[ROW][C]40[/C][C]-0.237608[/C][C]-1.8405[/C][C]0.03532[/C][/ROW]
[ROW][C]41[/C][C]-0.125957[/C][C]-0.9757[/C][C]0.166575[/C][/ROW]
[ROW][C]42[/C][C]-0.058409[/C][C]-0.4524[/C][C]0.326294[/C][/ROW]
[ROW][C]43[/C][C]-0.119814[/C][C]-0.9281[/C][C]0.178544[/C][/ROW]
[ROW][C]44[/C][C]-0.115411[/C][C]-0.894[/C][C]0.187456[/C][/ROW]
[ROW][C]45[/C][C]-0.13204[/C][C]-1.0228[/C][C]0.15526[/C][/ROW]
[ROW][C]46[/C][C]-0.13691[/C][C]-1.0605[/C][C]0.146584[/C][/ROW]
[ROW][C]47[/C][C]-0.057773[/C][C]-0.4475[/C][C]0.328061[/C][/ROW]
[ROW][C]48[/C][C]-0.003593[/C][C]-0.0278[/C][C]0.488944[/C][/ROW]
[ROW][C]49[/C][C]-0.05632[/C][C]-0.4363[/C][C]0.332111[/C][/ROW]
[ROW][C]50[/C][C]-0.109238[/C][C]-0.8462[/C][C]0.200415[/C][/ROW]
[ROW][C]51[/C][C]-0.12339[/C][C]-0.9558[/C][C]0.171511[/C][/ROW]
[ROW][C]52[/C][C]-0.134723[/C][C]-1.0436[/C][C]0.150438[/C][/ROW]
[ROW][C]53[/C][C]-0.107752[/C][C]-0.8346[/C][C]0.203614[/C][/ROW]
[ROW][C]54[/C][C]-0.078458[/C][C]-0.6077[/C][C]0.272828[/C][/ROW]
[ROW][C]55[/C][C]-0.066031[/C][C]-0.5115[/C][C]0.305447[/C][/ROW]
[ROW][C]56[/C][C]-0.069553[/C][C]-0.5388[/C][C]0.296025[/C][/ROW]
[ROW][C]57[/C][C]-0.066516[/C][C]-0.5152[/C][C]0.304143[/C][/ROW]
[ROW][C]58[/C][C]-0.032637[/C][C]-0.2528[/C][C]0.400641[/C][/ROW]
[ROW][C]59[/C][C]-0.005395[/C][C]-0.0418[/C][C]0.483403[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35041&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35041&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
10.2187821.69470.047661
20.0274460.21260.41618
30.368792.85660.002937
4-0.0444-0.34390.366053
50.1002450.77650.220253
60.5232244.05297.4e-05
70.0186960.14480.44267
8-0.034237-0.26520.395884
90.2822562.18630.016351
10-0.103738-0.80350.212415
110.1131630.87660.192111
120.65175.0482e-06
130.0501710.38860.349466
14-0.044872-0.34760.364686
150.1483391.1490.127552
16-0.197498-1.52980.06566
17-0.008079-0.06260.475155
180.2981782.30970.012182
19-0.096788-0.74970.228177
20-0.085794-0.66460.254439
210.0979770.75890.225435
22-0.220821-1.71050.046173
230.0424490.32880.371722
240.3180492.46360.00832
25-0.069586-0.5390.295937
26-0.078493-0.6080.27274
27-0.010275-0.07960.468416
28-0.256904-1.990.025579
29-0.071104-0.55080.291919
300.0911290.70590.241496
31-0.115938-0.89810.186374
32-0.095804-0.74210.230463
33-0.046786-0.36240.359162
34-0.207394-1.60650.056711
35-0.026912-0.20850.41779
360.1267490.98180.165072
37-0.084501-0.65450.257633
38-0.126063-0.97650.166373
39-0.113832-0.88170.190719
40-0.237608-1.84050.03532
41-0.125957-0.97570.166575
42-0.058409-0.45240.326294
43-0.119814-0.92810.178544
44-0.115411-0.8940.187456
45-0.13204-1.02280.15526
46-0.13691-1.06050.146584
47-0.057773-0.44750.328061
48-0.003593-0.02780.488944
49-0.05632-0.43630.332111
50-0.109238-0.84620.200415
51-0.12339-0.95580.171511
52-0.134723-1.04360.150438
53-0.107752-0.83460.203614
54-0.078458-0.60770.272828
55-0.066031-0.51150.305447
56-0.069553-0.53880.296025
57-0.066516-0.51520.304143
58-0.032637-0.25280.400641
59-0.005395-0.04180.483403
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2187821.69470.047661
2-0.021446-0.16610.434311
30.3859932.98990.002021
4-0.26097-2.02150.023849
50.2781552.15460.01761
60.3465682.68450.004688
7-0.159067-1.23210.111354
8-0.060843-0.47130.319571
90.0857870.66450.254457
10-0.094927-0.73530.232511
110.1981791.53510.06501
120.4715073.65230.000274
13-0.182456-1.41330.081368
14-0.152113-1.17830.121672
15-0.283576-2.19660.015963
160.0184410.14280.443446
17-0.099015-0.7670.223054
18-0.077122-0.59740.27625
190.0814150.63060.265335
200.0377130.29210.3856
21-0.038922-0.30150.382043
22-0.034628-0.26820.394723
230.1018440.78890.216643
24-0.191799-1.48570.071302
250.0401210.31080.378523
26-0.03532-0.27360.39267
270.077610.60120.274997
28-0.059712-0.46250.322687
29-0.051842-0.40160.344716
30-0.063471-0.49160.312382
310.0927740.71860.237581
32-0.09831-0.76150.224669
33-0.011949-0.09260.463283
340.0872630.67590.25084
35-0.123215-0.95440.17185
360.0907430.70290.242421
37-0.108056-0.8370.202958
38-0.023229-0.17990.428905
39-0.102569-0.79450.215019
400.0081870.06340.474822
41-0.033353-0.25830.398511
42-0.07519-0.58240.281233
43-0.023474-0.18180.428165
440.0150860.11690.453684
450.0077190.05980.476261
460.0295090.22860.409988
470.0518780.40180.344613
48-0.119888-0.92870.178395
490.0167270.12960.448672
500.0049730.03850.4847
510.0936490.72540.235513
52-0.078566-0.60860.272552
530.0344530.26690.395242
54-0.007073-0.05480.478246
55-0.080265-0.62170.268238
560.0594710.46070.323353
570.0294260.22790.410236
580.0094630.07330.470907
59-0.031161-0.24140.405046
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.218782 & 1.6947 & 0.047661 \tabularnewline
2 & -0.021446 & -0.1661 & 0.434311 \tabularnewline
3 & 0.385993 & 2.9899 & 0.002021 \tabularnewline
4 & -0.26097 & -2.0215 & 0.023849 \tabularnewline
5 & 0.278155 & 2.1546 & 0.01761 \tabularnewline
6 & 0.346568 & 2.6845 & 0.004688 \tabularnewline
7 & -0.159067 & -1.2321 & 0.111354 \tabularnewline
8 & -0.060843 & -0.4713 & 0.319571 \tabularnewline
9 & 0.085787 & 0.6645 & 0.254457 \tabularnewline
10 & -0.094927 & -0.7353 & 0.232511 \tabularnewline
11 & 0.198179 & 1.5351 & 0.06501 \tabularnewline
12 & 0.471507 & 3.6523 & 0.000274 \tabularnewline
13 & -0.182456 & -1.4133 & 0.081368 \tabularnewline
14 & -0.152113 & -1.1783 & 0.121672 \tabularnewline
15 & -0.283576 & -2.1966 & 0.015963 \tabularnewline
16 & 0.018441 & 0.1428 & 0.443446 \tabularnewline
17 & -0.099015 & -0.767 & 0.223054 \tabularnewline
18 & -0.077122 & -0.5974 & 0.27625 \tabularnewline
19 & 0.081415 & 0.6306 & 0.265335 \tabularnewline
20 & 0.037713 & 0.2921 & 0.3856 \tabularnewline
21 & -0.038922 & -0.3015 & 0.382043 \tabularnewline
22 & -0.034628 & -0.2682 & 0.394723 \tabularnewline
23 & 0.101844 & 0.7889 & 0.216643 \tabularnewline
24 & -0.191799 & -1.4857 & 0.071302 \tabularnewline
25 & 0.040121 & 0.3108 & 0.378523 \tabularnewline
26 & -0.03532 & -0.2736 & 0.39267 \tabularnewline
27 & 0.07761 & 0.6012 & 0.274997 \tabularnewline
28 & -0.059712 & -0.4625 & 0.322687 \tabularnewline
29 & -0.051842 & -0.4016 & 0.344716 \tabularnewline
30 & -0.063471 & -0.4916 & 0.312382 \tabularnewline
31 & 0.092774 & 0.7186 & 0.237581 \tabularnewline
32 & -0.09831 & -0.7615 & 0.224669 \tabularnewline
33 & -0.011949 & -0.0926 & 0.463283 \tabularnewline
34 & 0.087263 & 0.6759 & 0.25084 \tabularnewline
35 & -0.123215 & -0.9544 & 0.17185 \tabularnewline
36 & 0.090743 & 0.7029 & 0.242421 \tabularnewline
37 & -0.108056 & -0.837 & 0.202958 \tabularnewline
38 & -0.023229 & -0.1799 & 0.428905 \tabularnewline
39 & -0.102569 & -0.7945 & 0.215019 \tabularnewline
40 & 0.008187 & 0.0634 & 0.474822 \tabularnewline
41 & -0.033353 & -0.2583 & 0.398511 \tabularnewline
42 & -0.07519 & -0.5824 & 0.281233 \tabularnewline
43 & -0.023474 & -0.1818 & 0.428165 \tabularnewline
44 & 0.015086 & 0.1169 & 0.453684 \tabularnewline
45 & 0.007719 & 0.0598 & 0.476261 \tabularnewline
46 & 0.029509 & 0.2286 & 0.409988 \tabularnewline
47 & 0.051878 & 0.4018 & 0.344613 \tabularnewline
48 & -0.119888 & -0.9287 & 0.178395 \tabularnewline
49 & 0.016727 & 0.1296 & 0.448672 \tabularnewline
50 & 0.004973 & 0.0385 & 0.4847 \tabularnewline
51 & 0.093649 & 0.7254 & 0.235513 \tabularnewline
52 & -0.078566 & -0.6086 & 0.272552 \tabularnewline
53 & 0.034453 & 0.2669 & 0.395242 \tabularnewline
54 & -0.007073 & -0.0548 & 0.478246 \tabularnewline
55 & -0.080265 & -0.6217 & 0.268238 \tabularnewline
56 & 0.059471 & 0.4607 & 0.323353 \tabularnewline
57 & 0.029426 & 0.2279 & 0.410236 \tabularnewline
58 & 0.009463 & 0.0733 & 0.470907 \tabularnewline
59 & -0.031161 & -0.2414 & 0.405046 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35041&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]0.218782[/C][C]1.6947[/C][C]0.047661[/C][/ROW]
[ROW][C]2[/C][C]-0.021446[/C][C]-0.1661[/C][C]0.434311[/C][/ROW]
[ROW][C]3[/C][C]0.385993[/C][C]2.9899[/C][C]0.002021[/C][/ROW]
[ROW][C]4[/C][C]-0.26097[/C][C]-2.0215[/C][C]0.023849[/C][/ROW]
[ROW][C]5[/C][C]0.278155[/C][C]2.1546[/C][C]0.01761[/C][/ROW]
[ROW][C]6[/C][C]0.346568[/C][C]2.6845[/C][C]0.004688[/C][/ROW]
[ROW][C]7[/C][C]-0.159067[/C][C]-1.2321[/C][C]0.111354[/C][/ROW]
[ROW][C]8[/C][C]-0.060843[/C][C]-0.4713[/C][C]0.319571[/C][/ROW]
[ROW][C]9[/C][C]0.085787[/C][C]0.6645[/C][C]0.254457[/C][/ROW]
[ROW][C]10[/C][C]-0.094927[/C][C]-0.7353[/C][C]0.232511[/C][/ROW]
[ROW][C]11[/C][C]0.198179[/C][C]1.5351[/C][C]0.06501[/C][/ROW]
[ROW][C]12[/C][C]0.471507[/C][C]3.6523[/C][C]0.000274[/C][/ROW]
[ROW][C]13[/C][C]-0.182456[/C][C]-1.4133[/C][C]0.081368[/C][/ROW]
[ROW][C]14[/C][C]-0.152113[/C][C]-1.1783[/C][C]0.121672[/C][/ROW]
[ROW][C]15[/C][C]-0.283576[/C][C]-2.1966[/C][C]0.015963[/C][/ROW]
[ROW][C]16[/C][C]0.018441[/C][C]0.1428[/C][C]0.443446[/C][/ROW]
[ROW][C]17[/C][C]-0.099015[/C][C]-0.767[/C][C]0.223054[/C][/ROW]
[ROW][C]18[/C][C]-0.077122[/C][C]-0.5974[/C][C]0.27625[/C][/ROW]
[ROW][C]19[/C][C]0.081415[/C][C]0.6306[/C][C]0.265335[/C][/ROW]
[ROW][C]20[/C][C]0.037713[/C][C]0.2921[/C][C]0.3856[/C][/ROW]
[ROW][C]21[/C][C]-0.038922[/C][C]-0.3015[/C][C]0.382043[/C][/ROW]
[ROW][C]22[/C][C]-0.034628[/C][C]-0.2682[/C][C]0.394723[/C][/ROW]
[ROW][C]23[/C][C]0.101844[/C][C]0.7889[/C][C]0.216643[/C][/ROW]
[ROW][C]24[/C][C]-0.191799[/C][C]-1.4857[/C][C]0.071302[/C][/ROW]
[ROW][C]25[/C][C]0.040121[/C][C]0.3108[/C][C]0.378523[/C][/ROW]
[ROW][C]26[/C][C]-0.03532[/C][C]-0.2736[/C][C]0.39267[/C][/ROW]
[ROW][C]27[/C][C]0.07761[/C][C]0.6012[/C][C]0.274997[/C][/ROW]
[ROW][C]28[/C][C]-0.059712[/C][C]-0.4625[/C][C]0.322687[/C][/ROW]
[ROW][C]29[/C][C]-0.051842[/C][C]-0.4016[/C][C]0.344716[/C][/ROW]
[ROW][C]30[/C][C]-0.063471[/C][C]-0.4916[/C][C]0.312382[/C][/ROW]
[ROW][C]31[/C][C]0.092774[/C][C]0.7186[/C][C]0.237581[/C][/ROW]
[ROW][C]32[/C][C]-0.09831[/C][C]-0.7615[/C][C]0.224669[/C][/ROW]
[ROW][C]33[/C][C]-0.011949[/C][C]-0.0926[/C][C]0.463283[/C][/ROW]
[ROW][C]34[/C][C]0.087263[/C][C]0.6759[/C][C]0.25084[/C][/ROW]
[ROW][C]35[/C][C]-0.123215[/C][C]-0.9544[/C][C]0.17185[/C][/ROW]
[ROW][C]36[/C][C]0.090743[/C][C]0.7029[/C][C]0.242421[/C][/ROW]
[ROW][C]37[/C][C]-0.108056[/C][C]-0.837[/C][C]0.202958[/C][/ROW]
[ROW][C]38[/C][C]-0.023229[/C][C]-0.1799[/C][C]0.428905[/C][/ROW]
[ROW][C]39[/C][C]-0.102569[/C][C]-0.7945[/C][C]0.215019[/C][/ROW]
[ROW][C]40[/C][C]0.008187[/C][C]0.0634[/C][C]0.474822[/C][/ROW]
[ROW][C]41[/C][C]-0.033353[/C][C]-0.2583[/C][C]0.398511[/C][/ROW]
[ROW][C]42[/C][C]-0.07519[/C][C]-0.5824[/C][C]0.281233[/C][/ROW]
[ROW][C]43[/C][C]-0.023474[/C][C]-0.1818[/C][C]0.428165[/C][/ROW]
[ROW][C]44[/C][C]0.015086[/C][C]0.1169[/C][C]0.453684[/C][/ROW]
[ROW][C]45[/C][C]0.007719[/C][C]0.0598[/C][C]0.476261[/C][/ROW]
[ROW][C]46[/C][C]0.029509[/C][C]0.2286[/C][C]0.409988[/C][/ROW]
[ROW][C]47[/C][C]0.051878[/C][C]0.4018[/C][C]0.344613[/C][/ROW]
[ROW][C]48[/C][C]-0.119888[/C][C]-0.9287[/C][C]0.178395[/C][/ROW]
[ROW][C]49[/C][C]0.016727[/C][C]0.1296[/C][C]0.448672[/C][/ROW]
[ROW][C]50[/C][C]0.004973[/C][C]0.0385[/C][C]0.4847[/C][/ROW]
[ROW][C]51[/C][C]0.093649[/C][C]0.7254[/C][C]0.235513[/C][/ROW]
[ROW][C]52[/C][C]-0.078566[/C][C]-0.6086[/C][C]0.272552[/C][/ROW]
[ROW][C]53[/C][C]0.034453[/C][C]0.2669[/C][C]0.395242[/C][/ROW]
[ROW][C]54[/C][C]-0.007073[/C][C]-0.0548[/C][C]0.478246[/C][/ROW]
[ROW][C]55[/C][C]-0.080265[/C][C]-0.6217[/C][C]0.268238[/C][/ROW]
[ROW][C]56[/C][C]0.059471[/C][C]0.4607[/C][C]0.323353[/C][/ROW]
[ROW][C]57[/C][C]0.029426[/C][C]0.2279[/C][C]0.410236[/C][/ROW]
[ROW][C]58[/C][C]0.009463[/C][C]0.0733[/C][C]0.470907[/C][/ROW]
[ROW][C]59[/C][C]-0.031161[/C][C]-0.2414[/C][C]0.405046[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35041&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35041&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
10.2187821.69470.047661
2-0.021446-0.16610.434311
30.3859932.98990.002021
4-0.26097-2.02150.023849
50.2781552.15460.01761
60.3465682.68450.004688
7-0.159067-1.23210.111354
8-0.060843-0.47130.319571
90.0857870.66450.254457
10-0.094927-0.73530.232511
110.1981791.53510.06501
120.4715073.65230.000274
13-0.182456-1.41330.081368
14-0.152113-1.17830.121672
15-0.283576-2.19660.015963
160.0184410.14280.443446
17-0.099015-0.7670.223054
18-0.077122-0.59740.27625
190.0814150.63060.265335
200.0377130.29210.3856
21-0.038922-0.30150.382043
22-0.034628-0.26820.394723
230.1018440.78890.216643
24-0.191799-1.48570.071302
250.0401210.31080.378523
26-0.03532-0.27360.39267
270.077610.60120.274997
28-0.059712-0.46250.322687
29-0.051842-0.40160.344716
30-0.063471-0.49160.312382
310.0927740.71860.237581
32-0.09831-0.76150.224669
33-0.011949-0.09260.463283
340.0872630.67590.25084
35-0.123215-0.95440.17185
360.0907430.70290.242421
37-0.108056-0.8370.202958
38-0.023229-0.17990.428905
39-0.102569-0.79450.215019
400.0081870.06340.474822
41-0.033353-0.25830.398511
42-0.07519-0.58240.281233
43-0.023474-0.18180.428165
440.0150860.11690.453684
450.0077190.05980.476261
460.0295090.22860.409988
470.0518780.40180.344613
48-0.119888-0.92870.178395
490.0167270.12960.448672
500.0049730.03850.4847
510.0936490.72540.235513
52-0.078566-0.60860.272552
530.0344530.26690.395242
54-0.007073-0.05480.478246
55-0.080265-0.62170.268238
560.0594710.46070.323353
570.0294260.22790.410236
580.0094630.07330.470907
59-0.031161-0.24140.405046
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')