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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, 19 Dec 2009 09:16:40 -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/2009/Dec/19/t1261239466nkwbj9izs5ztnhh.htm/, Retrieved Fri, 03 May 2024 23:57:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69666, Retrieved Fri, 03 May 2024 23:57:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorrelatie bel20] [2008-12-10 18:48:27] [74be16979710d4c4e7c6647856088456]
- RMPD    [(Partial) Autocorrelation Function] [bel 20 - autocorr...] [2009-12-19 16:16:40] [d5c15a85201d3aa3573f5c5fd3ce2a2a] [Current]
-   P       [(Partial) Autocorrelation Function] [bel 20 - autocorr...] [2009-12-20 09:46:06] [a18c43c8b63fa6800a53bb187b9ddd45]
-    D        [(Partial) Autocorrelation Function] [Werkloosheid vrou...] [2010-12-26 17:16:29] [e4afca2801c0b93eac84a600ed82fb9c]
-   P           [(Partial) Autocorrelation Function] [Werkloosheid vrou...] [2010-12-27 00:12:25] [e4afca2801c0b93eac84a600ed82fb9c]
-   PD        [(Partial) Autocorrelation Function] [Werkloosheid vrou...] [2010-12-26 17:21:11] [e4afca2801c0b93eac84a600ed82fb9c]
-    D      [(Partial) Autocorrelation Function] [Werkloosheid vrou...] [2010-12-26 17:11:15] [e4afca2801c0b93eac84a600ed82fb9c]
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Dataseries X:
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34
2197.82
2014.45
1862.83
1905.41
1810.99
1670.07
1864.44
2052.02
2029.6
2070.83
2293.41
2443.27
2513.17
2466.92




Summary of computational 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 computational 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=69666&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]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=69666&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69666&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.966317.4850
20.9212667.13610
30.8723156.75690
40.8106656.27940
50.7340475.68590
60.6444154.99163e-06
70.5566284.31163.1e-05
80.467443.62080.000303
90.3685492.85480.002953
100.2712562.10110.019919
110.1829731.41730.080783
120.0887330.68730.247264
13-0.000823-0.00640.497467
14-0.08328-0.64510.260666
15-0.151082-1.17030.123258
16-0.213683-1.65520.051555
17-0.278821-2.15970.0174
18-0.329669-2.55360.00661
19-0.368964-2.8580.002926
20-0.406549-3.14910.001276
21-0.442063-3.42420.000559
22-0.467907-3.62440.000299
23-0.48155-3.73010.000213
24-0.481777-3.73180.000212
25-0.476089-3.68780.000244
26-0.458987-3.55530.000372
27-0.438772-3.39870.000604
28-0.420719-3.25890.000922
29-0.395258-3.06170.001646
30-0.36593-2.83450.003123
31-0.334039-2.58750.006055
32-0.301343-2.33420.011476
33-0.276211-2.13950.018236
34-0.245317-1.90020.031106
35-0.210274-1.62880.0543
36-0.176651-1.36830.088155
37-0.142861-1.10660.136443
38-0.112768-0.87350.192938
39-0.085969-0.66590.25401
40-0.059507-0.46090.323254
41-0.032503-0.25180.401041
42-0.00938-0.07270.47116
430.0148380.11490.45444
440.0352860.27330.392771
450.0567390.43950.330939
460.0750970.58170.281475
470.082380.63810.262914
480.0843790.65360.257934
490.0820450.63550.263754
500.0782730.60630.273301
510.0723380.56030.288672
520.0640460.49610.310818
530.0556650.43120.333943
540.0477470.36980.356401
550.0381270.29530.384382
560.0294390.2280.410197
570.0223910.17340.431446
580.0163370.12650.449863
590.0090230.06990.472256
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.96631 & 7.485 & 0 \tabularnewline
2 & 0.921266 & 7.1361 & 0 \tabularnewline
3 & 0.872315 & 6.7569 & 0 \tabularnewline
4 & 0.810665 & 6.2794 & 0 \tabularnewline
5 & 0.734047 & 5.6859 & 0 \tabularnewline
6 & 0.644415 & 4.9916 & 3e-06 \tabularnewline
7 & 0.556628 & 4.3116 & 3.1e-05 \tabularnewline
8 & 0.46744 & 3.6208 & 0.000303 \tabularnewline
9 & 0.368549 & 2.8548 & 0.002953 \tabularnewline
10 & 0.271256 & 2.1011 & 0.019919 \tabularnewline
11 & 0.182973 & 1.4173 & 0.080783 \tabularnewline
12 & 0.088733 & 0.6873 & 0.247264 \tabularnewline
13 & -0.000823 & -0.0064 & 0.497467 \tabularnewline
14 & -0.08328 & -0.6451 & 0.260666 \tabularnewline
15 & -0.151082 & -1.1703 & 0.123258 \tabularnewline
16 & -0.213683 & -1.6552 & 0.051555 \tabularnewline
17 & -0.278821 & -2.1597 & 0.0174 \tabularnewline
18 & -0.329669 & -2.5536 & 0.00661 \tabularnewline
19 & -0.368964 & -2.858 & 0.002926 \tabularnewline
20 & -0.406549 & -3.1491 & 0.001276 \tabularnewline
21 & -0.442063 & -3.4242 & 0.000559 \tabularnewline
22 & -0.467907 & -3.6244 & 0.000299 \tabularnewline
23 & -0.48155 & -3.7301 & 0.000213 \tabularnewline
24 & -0.481777 & -3.7318 & 0.000212 \tabularnewline
25 & -0.476089 & -3.6878 & 0.000244 \tabularnewline
26 & -0.458987 & -3.5553 & 0.000372 \tabularnewline
27 & -0.438772 & -3.3987 & 0.000604 \tabularnewline
28 & -0.420719 & -3.2589 & 0.000922 \tabularnewline
29 & -0.395258 & -3.0617 & 0.001646 \tabularnewline
30 & -0.36593 & -2.8345 & 0.003123 \tabularnewline
31 & -0.334039 & -2.5875 & 0.006055 \tabularnewline
32 & -0.301343 & -2.3342 & 0.011476 \tabularnewline
33 & -0.276211 & -2.1395 & 0.018236 \tabularnewline
34 & -0.245317 & -1.9002 & 0.031106 \tabularnewline
35 & -0.210274 & -1.6288 & 0.0543 \tabularnewline
36 & -0.176651 & -1.3683 & 0.088155 \tabularnewline
37 & -0.142861 & -1.1066 & 0.136443 \tabularnewline
38 & -0.112768 & -0.8735 & 0.192938 \tabularnewline
39 & -0.085969 & -0.6659 & 0.25401 \tabularnewline
40 & -0.059507 & -0.4609 & 0.323254 \tabularnewline
41 & -0.032503 & -0.2518 & 0.401041 \tabularnewline
42 & -0.00938 & -0.0727 & 0.47116 \tabularnewline
43 & 0.014838 & 0.1149 & 0.45444 \tabularnewline
44 & 0.035286 & 0.2733 & 0.392771 \tabularnewline
45 & 0.056739 & 0.4395 & 0.330939 \tabularnewline
46 & 0.075097 & 0.5817 & 0.281475 \tabularnewline
47 & 0.08238 & 0.6381 & 0.262914 \tabularnewline
48 & 0.084379 & 0.6536 & 0.257934 \tabularnewline
49 & 0.082045 & 0.6355 & 0.263754 \tabularnewline
50 & 0.078273 & 0.6063 & 0.273301 \tabularnewline
51 & 0.072338 & 0.5603 & 0.288672 \tabularnewline
52 & 0.064046 & 0.4961 & 0.310818 \tabularnewline
53 & 0.055665 & 0.4312 & 0.333943 \tabularnewline
54 & 0.047747 & 0.3698 & 0.356401 \tabularnewline
55 & 0.038127 & 0.2953 & 0.384382 \tabularnewline
56 & 0.029439 & 0.228 & 0.410197 \tabularnewline
57 & 0.022391 & 0.1734 & 0.431446 \tabularnewline
58 & 0.016337 & 0.1265 & 0.449863 \tabularnewline
59 & 0.009023 & 0.0699 & 0.472256 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69666&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]0.96631[/C][C]7.485[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.921266[/C][C]7.1361[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.872315[/C][C]6.7569[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.810665[/C][C]6.2794[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.734047[/C][C]5.6859[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.644415[/C][C]4.9916[/C][C]3e-06[/C][/ROW]
[ROW][C]7[/C][C]0.556628[/C][C]4.3116[/C][C]3.1e-05[/C][/ROW]
[ROW][C]8[/C][C]0.46744[/C][C]3.6208[/C][C]0.000303[/C][/ROW]
[ROW][C]9[/C][C]0.368549[/C][C]2.8548[/C][C]0.002953[/C][/ROW]
[ROW][C]10[/C][C]0.271256[/C][C]2.1011[/C][C]0.019919[/C][/ROW]
[ROW][C]11[/C][C]0.182973[/C][C]1.4173[/C][C]0.080783[/C][/ROW]
[ROW][C]12[/C][C]0.088733[/C][C]0.6873[/C][C]0.247264[/C][/ROW]
[ROW][C]13[/C][C]-0.000823[/C][C]-0.0064[/C][C]0.497467[/C][/ROW]
[ROW][C]14[/C][C]-0.08328[/C][C]-0.6451[/C][C]0.260666[/C][/ROW]
[ROW][C]15[/C][C]-0.151082[/C][C]-1.1703[/C][C]0.123258[/C][/ROW]
[ROW][C]16[/C][C]-0.213683[/C][C]-1.6552[/C][C]0.051555[/C][/ROW]
[ROW][C]17[/C][C]-0.278821[/C][C]-2.1597[/C][C]0.0174[/C][/ROW]
[ROW][C]18[/C][C]-0.329669[/C][C]-2.5536[/C][C]0.00661[/C][/ROW]
[ROW][C]19[/C][C]-0.368964[/C][C]-2.858[/C][C]0.002926[/C][/ROW]
[ROW][C]20[/C][C]-0.406549[/C][C]-3.1491[/C][C]0.001276[/C][/ROW]
[ROW][C]21[/C][C]-0.442063[/C][C]-3.4242[/C][C]0.000559[/C][/ROW]
[ROW][C]22[/C][C]-0.467907[/C][C]-3.6244[/C][C]0.000299[/C][/ROW]
[ROW][C]23[/C][C]-0.48155[/C][C]-3.7301[/C][C]0.000213[/C][/ROW]
[ROW][C]24[/C][C]-0.481777[/C][C]-3.7318[/C][C]0.000212[/C][/ROW]
[ROW][C]25[/C][C]-0.476089[/C][C]-3.6878[/C][C]0.000244[/C][/ROW]
[ROW][C]26[/C][C]-0.458987[/C][C]-3.5553[/C][C]0.000372[/C][/ROW]
[ROW][C]27[/C][C]-0.438772[/C][C]-3.3987[/C][C]0.000604[/C][/ROW]
[ROW][C]28[/C][C]-0.420719[/C][C]-3.2589[/C][C]0.000922[/C][/ROW]
[ROW][C]29[/C][C]-0.395258[/C][C]-3.0617[/C][C]0.001646[/C][/ROW]
[ROW][C]30[/C][C]-0.36593[/C][C]-2.8345[/C][C]0.003123[/C][/ROW]
[ROW][C]31[/C][C]-0.334039[/C][C]-2.5875[/C][C]0.006055[/C][/ROW]
[ROW][C]32[/C][C]-0.301343[/C][C]-2.3342[/C][C]0.011476[/C][/ROW]
[ROW][C]33[/C][C]-0.276211[/C][C]-2.1395[/C][C]0.018236[/C][/ROW]
[ROW][C]34[/C][C]-0.245317[/C][C]-1.9002[/C][C]0.031106[/C][/ROW]
[ROW][C]35[/C][C]-0.210274[/C][C]-1.6288[/C][C]0.0543[/C][/ROW]
[ROW][C]36[/C][C]-0.176651[/C][C]-1.3683[/C][C]0.088155[/C][/ROW]
[ROW][C]37[/C][C]-0.142861[/C][C]-1.1066[/C][C]0.136443[/C][/ROW]
[ROW][C]38[/C][C]-0.112768[/C][C]-0.8735[/C][C]0.192938[/C][/ROW]
[ROW][C]39[/C][C]-0.085969[/C][C]-0.6659[/C][C]0.25401[/C][/ROW]
[ROW][C]40[/C][C]-0.059507[/C][C]-0.4609[/C][C]0.323254[/C][/ROW]
[ROW][C]41[/C][C]-0.032503[/C][C]-0.2518[/C][C]0.401041[/C][/ROW]
[ROW][C]42[/C][C]-0.00938[/C][C]-0.0727[/C][C]0.47116[/C][/ROW]
[ROW][C]43[/C][C]0.014838[/C][C]0.1149[/C][C]0.45444[/C][/ROW]
[ROW][C]44[/C][C]0.035286[/C][C]0.2733[/C][C]0.392771[/C][/ROW]
[ROW][C]45[/C][C]0.056739[/C][C]0.4395[/C][C]0.330939[/C][/ROW]
[ROW][C]46[/C][C]0.075097[/C][C]0.5817[/C][C]0.281475[/C][/ROW]
[ROW][C]47[/C][C]0.08238[/C][C]0.6381[/C][C]0.262914[/C][/ROW]
[ROW][C]48[/C][C]0.084379[/C][C]0.6536[/C][C]0.257934[/C][/ROW]
[ROW][C]49[/C][C]0.082045[/C][C]0.6355[/C][C]0.263754[/C][/ROW]
[ROW][C]50[/C][C]0.078273[/C][C]0.6063[/C][C]0.273301[/C][/ROW]
[ROW][C]51[/C][C]0.072338[/C][C]0.5603[/C][C]0.288672[/C][/ROW]
[ROW][C]52[/C][C]0.064046[/C][C]0.4961[/C][C]0.310818[/C][/ROW]
[ROW][C]53[/C][C]0.055665[/C][C]0.4312[/C][C]0.333943[/C][/ROW]
[ROW][C]54[/C][C]0.047747[/C][C]0.3698[/C][C]0.356401[/C][/ROW]
[ROW][C]55[/C][C]0.038127[/C][C]0.2953[/C][C]0.384382[/C][/ROW]
[ROW][C]56[/C][C]0.029439[/C][C]0.228[/C][C]0.410197[/C][/ROW]
[ROW][C]57[/C][C]0.022391[/C][C]0.1734[/C][C]0.431446[/C][/ROW]
[ROW][C]58[/C][C]0.016337[/C][C]0.1265[/C][C]0.449863[/C][/ROW]
[ROW][C]59[/C][C]0.009023[/C][C]0.0699[/C][C]0.472256[/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=69666&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69666&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
10.966317.4850
20.9212667.13610
30.8723156.75690
40.8106656.27940
50.7340475.68590
60.6444154.99163e-06
70.5566284.31163.1e-05
80.467443.62080.000303
90.3685492.85480.002953
100.2712562.10110.019919
110.1829731.41730.080783
120.0887330.68730.247264
13-0.000823-0.00640.497467
14-0.08328-0.64510.260666
15-0.151082-1.17030.123258
16-0.213683-1.65520.051555
17-0.278821-2.15970.0174
18-0.329669-2.55360.00661
19-0.368964-2.8580.002926
20-0.406549-3.14910.001276
21-0.442063-3.42420.000559
22-0.467907-3.62440.000299
23-0.48155-3.73010.000213
24-0.481777-3.73180.000212
25-0.476089-3.68780.000244
26-0.458987-3.55530.000372
27-0.438772-3.39870.000604
28-0.420719-3.25890.000922
29-0.395258-3.06170.001646
30-0.36593-2.83450.003123
31-0.334039-2.58750.006055
32-0.301343-2.33420.011476
33-0.276211-2.13950.018236
34-0.245317-1.90020.031106
35-0.210274-1.62880.0543
36-0.176651-1.36830.088155
37-0.142861-1.10660.136443
38-0.112768-0.87350.192938
39-0.085969-0.66590.25401
40-0.059507-0.46090.323254
41-0.032503-0.25180.401041
42-0.00938-0.07270.47116
430.0148380.11490.45444
440.0352860.27330.392771
450.0567390.43950.330939
460.0750970.58170.281475
470.082380.63810.262914
480.0843790.65360.257934
490.0820450.63550.263754
500.0782730.60630.273301
510.0723380.56030.288672
520.0640460.49610.310818
530.0556650.43120.333943
540.0477470.36980.356401
550.0381270.29530.384382
560.0294390.2280.410197
570.0223910.17340.431446
580.0163370.12650.449863
590.0090230.06990.472256
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.966317.4850
2-0.188526-1.46030.07471
3-0.055871-0.43280.333365
4-0.210868-1.63340.053813
5-0.219727-1.7020.046966
6-0.208053-1.61160.056152
70.0392660.30420.381033
8-0.036109-0.27970.390335
9-0.143159-1.10890.135948
100.0116740.09040.464124
110.066260.51330.30483
12-0.211678-1.63960.053156
130.0427020.33080.370987
14-0.002757-0.02140.491517
150.1051290.81430.209339
16-0.066885-0.51810.30315
17-0.112922-0.87470.192615
180.0416490.32260.374055
19-0.03918-0.30350.381285
20-0.0925-0.71650.238231
21-0.066549-0.51550.304053
22-0.002787-0.02160.491425
230.0333510.25830.398516
240.1388081.07520.143295
250.0646040.50040.309304
260.0142170.11010.45634
27-0.149255-1.15610.126107
28-0.116719-0.90410.184779
29-0.005219-0.04040.483943
30-0.038455-0.29790.383415
310.0004120.00320.498731
320.062560.48460.314866
33-0.173909-1.34710.091508
340.0188460.1460.442213
350.0240980.18670.426278
360.0780340.60450.273911
370.0148220.11480.454488
38-0.011348-0.08790.465125
39-0.076246-0.59060.278505
40-0.042708-0.33080.370969
410.0652040.50510.307682
42-0.085656-0.66350.254779
430.0594710.46070.323353
44-0.033638-0.26060.397661
45-0.016787-0.130.448488
46-0.005435-0.04210.483279
47-0.139191-1.07820.142638
48-0.047964-0.37150.355776
49-0.00924-0.07160.47159
50-0.013264-0.10270.459254
510.0078430.06080.475879
520.0206070.15960.436858
530.0610790.47310.318924
54-0.0215-0.16650.434147
55-0.010415-0.08070.467984
56-0.095883-0.74270.230278
570.018960.14690.441866
580.0648870.50260.308538
590.001210.00940.496276
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.96631 & 7.485 & 0 \tabularnewline
2 & -0.188526 & -1.4603 & 0.07471 \tabularnewline
3 & -0.055871 & -0.4328 & 0.333365 \tabularnewline
4 & -0.210868 & -1.6334 & 0.053813 \tabularnewline
5 & -0.219727 & -1.702 & 0.046966 \tabularnewline
6 & -0.208053 & -1.6116 & 0.056152 \tabularnewline
7 & 0.039266 & 0.3042 & 0.381033 \tabularnewline
8 & -0.036109 & -0.2797 & 0.390335 \tabularnewline
9 & -0.143159 & -1.1089 & 0.135948 \tabularnewline
10 & 0.011674 & 0.0904 & 0.464124 \tabularnewline
11 & 0.06626 & 0.5133 & 0.30483 \tabularnewline
12 & -0.211678 & -1.6396 & 0.053156 \tabularnewline
13 & 0.042702 & 0.3308 & 0.370987 \tabularnewline
14 & -0.002757 & -0.0214 & 0.491517 \tabularnewline
15 & 0.105129 & 0.8143 & 0.209339 \tabularnewline
16 & -0.066885 & -0.5181 & 0.30315 \tabularnewline
17 & -0.112922 & -0.8747 & 0.192615 \tabularnewline
18 & 0.041649 & 0.3226 & 0.374055 \tabularnewline
19 & -0.03918 & -0.3035 & 0.381285 \tabularnewline
20 & -0.0925 & -0.7165 & 0.238231 \tabularnewline
21 & -0.066549 & -0.5155 & 0.304053 \tabularnewline
22 & -0.002787 & -0.0216 & 0.491425 \tabularnewline
23 & 0.033351 & 0.2583 & 0.398516 \tabularnewline
24 & 0.138808 & 1.0752 & 0.143295 \tabularnewline
25 & 0.064604 & 0.5004 & 0.309304 \tabularnewline
26 & 0.014217 & 0.1101 & 0.45634 \tabularnewline
27 & -0.149255 & -1.1561 & 0.126107 \tabularnewline
28 & -0.116719 & -0.9041 & 0.184779 \tabularnewline
29 & -0.005219 & -0.0404 & 0.483943 \tabularnewline
30 & -0.038455 & -0.2979 & 0.383415 \tabularnewline
31 & 0.000412 & 0.0032 & 0.498731 \tabularnewline
32 & 0.06256 & 0.4846 & 0.314866 \tabularnewline
33 & -0.173909 & -1.3471 & 0.091508 \tabularnewline
34 & 0.018846 & 0.146 & 0.442213 \tabularnewline
35 & 0.024098 & 0.1867 & 0.426278 \tabularnewline
36 & 0.078034 & 0.6045 & 0.273911 \tabularnewline
37 & 0.014822 & 0.1148 & 0.454488 \tabularnewline
38 & -0.011348 & -0.0879 & 0.465125 \tabularnewline
39 & -0.076246 & -0.5906 & 0.278505 \tabularnewline
40 & -0.042708 & -0.3308 & 0.370969 \tabularnewline
41 & 0.065204 & 0.5051 & 0.307682 \tabularnewline
42 & -0.085656 & -0.6635 & 0.254779 \tabularnewline
43 & 0.059471 & 0.4607 & 0.323353 \tabularnewline
44 & -0.033638 & -0.2606 & 0.397661 \tabularnewline
45 & -0.016787 & -0.13 & 0.448488 \tabularnewline
46 & -0.005435 & -0.0421 & 0.483279 \tabularnewline
47 & -0.139191 & -1.0782 & 0.142638 \tabularnewline
48 & -0.047964 & -0.3715 & 0.355776 \tabularnewline
49 & -0.00924 & -0.0716 & 0.47159 \tabularnewline
50 & -0.013264 & -0.1027 & 0.459254 \tabularnewline
51 & 0.007843 & 0.0608 & 0.475879 \tabularnewline
52 & 0.020607 & 0.1596 & 0.436858 \tabularnewline
53 & 0.061079 & 0.4731 & 0.318924 \tabularnewline
54 & -0.0215 & -0.1665 & 0.434147 \tabularnewline
55 & -0.010415 & -0.0807 & 0.467984 \tabularnewline
56 & -0.095883 & -0.7427 & 0.230278 \tabularnewline
57 & 0.01896 & 0.1469 & 0.441866 \tabularnewline
58 & 0.064887 & 0.5026 & 0.308538 \tabularnewline
59 & 0.00121 & 0.0094 & 0.496276 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69666&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]0.96631[/C][C]7.485[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.188526[/C][C]-1.4603[/C][C]0.07471[/C][/ROW]
[ROW][C]3[/C][C]-0.055871[/C][C]-0.4328[/C][C]0.333365[/C][/ROW]
[ROW][C]4[/C][C]-0.210868[/C][C]-1.6334[/C][C]0.053813[/C][/ROW]
[ROW][C]5[/C][C]-0.219727[/C][C]-1.702[/C][C]0.046966[/C][/ROW]
[ROW][C]6[/C][C]-0.208053[/C][C]-1.6116[/C][C]0.056152[/C][/ROW]
[ROW][C]7[/C][C]0.039266[/C][C]0.3042[/C][C]0.381033[/C][/ROW]
[ROW][C]8[/C][C]-0.036109[/C][C]-0.2797[/C][C]0.390335[/C][/ROW]
[ROW][C]9[/C][C]-0.143159[/C][C]-1.1089[/C][C]0.135948[/C][/ROW]
[ROW][C]10[/C][C]0.011674[/C][C]0.0904[/C][C]0.464124[/C][/ROW]
[ROW][C]11[/C][C]0.06626[/C][C]0.5133[/C][C]0.30483[/C][/ROW]
[ROW][C]12[/C][C]-0.211678[/C][C]-1.6396[/C][C]0.053156[/C][/ROW]
[ROW][C]13[/C][C]0.042702[/C][C]0.3308[/C][C]0.370987[/C][/ROW]
[ROW][C]14[/C][C]-0.002757[/C][C]-0.0214[/C][C]0.491517[/C][/ROW]
[ROW][C]15[/C][C]0.105129[/C][C]0.8143[/C][C]0.209339[/C][/ROW]
[ROW][C]16[/C][C]-0.066885[/C][C]-0.5181[/C][C]0.30315[/C][/ROW]
[ROW][C]17[/C][C]-0.112922[/C][C]-0.8747[/C][C]0.192615[/C][/ROW]
[ROW][C]18[/C][C]0.041649[/C][C]0.3226[/C][C]0.374055[/C][/ROW]
[ROW][C]19[/C][C]-0.03918[/C][C]-0.3035[/C][C]0.381285[/C][/ROW]
[ROW][C]20[/C][C]-0.0925[/C][C]-0.7165[/C][C]0.238231[/C][/ROW]
[ROW][C]21[/C][C]-0.066549[/C][C]-0.5155[/C][C]0.304053[/C][/ROW]
[ROW][C]22[/C][C]-0.002787[/C][C]-0.0216[/C][C]0.491425[/C][/ROW]
[ROW][C]23[/C][C]0.033351[/C][C]0.2583[/C][C]0.398516[/C][/ROW]
[ROW][C]24[/C][C]0.138808[/C][C]1.0752[/C][C]0.143295[/C][/ROW]
[ROW][C]25[/C][C]0.064604[/C][C]0.5004[/C][C]0.309304[/C][/ROW]
[ROW][C]26[/C][C]0.014217[/C][C]0.1101[/C][C]0.45634[/C][/ROW]
[ROW][C]27[/C][C]-0.149255[/C][C]-1.1561[/C][C]0.126107[/C][/ROW]
[ROW][C]28[/C][C]-0.116719[/C][C]-0.9041[/C][C]0.184779[/C][/ROW]
[ROW][C]29[/C][C]-0.005219[/C][C]-0.0404[/C][C]0.483943[/C][/ROW]
[ROW][C]30[/C][C]-0.038455[/C][C]-0.2979[/C][C]0.383415[/C][/ROW]
[ROW][C]31[/C][C]0.000412[/C][C]0.0032[/C][C]0.498731[/C][/ROW]
[ROW][C]32[/C][C]0.06256[/C][C]0.4846[/C][C]0.314866[/C][/ROW]
[ROW][C]33[/C][C]-0.173909[/C][C]-1.3471[/C][C]0.091508[/C][/ROW]
[ROW][C]34[/C][C]0.018846[/C][C]0.146[/C][C]0.442213[/C][/ROW]
[ROW][C]35[/C][C]0.024098[/C][C]0.1867[/C][C]0.426278[/C][/ROW]
[ROW][C]36[/C][C]0.078034[/C][C]0.6045[/C][C]0.273911[/C][/ROW]
[ROW][C]37[/C][C]0.014822[/C][C]0.1148[/C][C]0.454488[/C][/ROW]
[ROW][C]38[/C][C]-0.011348[/C][C]-0.0879[/C][C]0.465125[/C][/ROW]
[ROW][C]39[/C][C]-0.076246[/C][C]-0.5906[/C][C]0.278505[/C][/ROW]
[ROW][C]40[/C][C]-0.042708[/C][C]-0.3308[/C][C]0.370969[/C][/ROW]
[ROW][C]41[/C][C]0.065204[/C][C]0.5051[/C][C]0.307682[/C][/ROW]
[ROW][C]42[/C][C]-0.085656[/C][C]-0.6635[/C][C]0.254779[/C][/ROW]
[ROW][C]43[/C][C]0.059471[/C][C]0.4607[/C][C]0.323353[/C][/ROW]
[ROW][C]44[/C][C]-0.033638[/C][C]-0.2606[/C][C]0.397661[/C][/ROW]
[ROW][C]45[/C][C]-0.016787[/C][C]-0.13[/C][C]0.448488[/C][/ROW]
[ROW][C]46[/C][C]-0.005435[/C][C]-0.0421[/C][C]0.483279[/C][/ROW]
[ROW][C]47[/C][C]-0.139191[/C][C]-1.0782[/C][C]0.142638[/C][/ROW]
[ROW][C]48[/C][C]-0.047964[/C][C]-0.3715[/C][C]0.355776[/C][/ROW]
[ROW][C]49[/C][C]-0.00924[/C][C]-0.0716[/C][C]0.47159[/C][/ROW]
[ROW][C]50[/C][C]-0.013264[/C][C]-0.1027[/C][C]0.459254[/C][/ROW]
[ROW][C]51[/C][C]0.007843[/C][C]0.0608[/C][C]0.475879[/C][/ROW]
[ROW][C]52[/C][C]0.020607[/C][C]0.1596[/C][C]0.436858[/C][/ROW]
[ROW][C]53[/C][C]0.061079[/C][C]0.4731[/C][C]0.318924[/C][/ROW]
[ROW][C]54[/C][C]-0.0215[/C][C]-0.1665[/C][C]0.434147[/C][/ROW]
[ROW][C]55[/C][C]-0.010415[/C][C]-0.0807[/C][C]0.467984[/C][/ROW]
[ROW][C]56[/C][C]-0.095883[/C][C]-0.7427[/C][C]0.230278[/C][/ROW]
[ROW][C]57[/C][C]0.01896[/C][C]0.1469[/C][C]0.441866[/C][/ROW]
[ROW][C]58[/C][C]0.064887[/C][C]0.5026[/C][C]0.308538[/C][/ROW]
[ROW][C]59[/C][C]0.00121[/C][C]0.0094[/C][C]0.496276[/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=69666&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69666&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
10.966317.4850
2-0.188526-1.46030.07471
3-0.055871-0.43280.333365
4-0.210868-1.63340.053813
5-0.219727-1.7020.046966
6-0.208053-1.61160.056152
70.0392660.30420.381033
8-0.036109-0.27970.390335
9-0.143159-1.10890.135948
100.0116740.09040.464124
110.066260.51330.30483
12-0.211678-1.63960.053156
130.0427020.33080.370987
14-0.002757-0.02140.491517
150.1051290.81430.209339
16-0.066885-0.51810.30315
17-0.112922-0.87470.192615
180.0416490.32260.374055
19-0.03918-0.30350.381285
20-0.0925-0.71650.238231
21-0.066549-0.51550.304053
22-0.002787-0.02160.491425
230.0333510.25830.398516
240.1388081.07520.143295
250.0646040.50040.309304
260.0142170.11010.45634
27-0.149255-1.15610.126107
28-0.116719-0.90410.184779
29-0.005219-0.04040.483943
30-0.038455-0.29790.383415
310.0004120.00320.498731
320.062560.48460.314866
33-0.173909-1.34710.091508
340.0188460.1460.442213
350.0240980.18670.426278
360.0780340.60450.273911
370.0148220.11480.454488
38-0.011348-0.08790.465125
39-0.076246-0.59060.278505
40-0.042708-0.33080.370969
410.0652040.50510.307682
42-0.085656-0.66350.254779
430.0594710.46070.323353
44-0.033638-0.26060.397661
45-0.016787-0.130.448488
46-0.005435-0.04210.483279
47-0.139191-1.07820.142638
48-0.047964-0.37150.355776
49-0.00924-0.07160.47159
50-0.013264-0.10270.459254
510.0078430.06080.475879
520.0206070.15960.436858
530.0610790.47310.318924
54-0.0215-0.16650.434147
55-0.010415-0.08070.467984
56-0.095883-0.74270.230278
570.018960.14690.441866
580.0648870.50260.308538
590.001210.00940.496276
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')