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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 08 Dec 2009 11:39:08 -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/08/t1260297596wfpzruxbapiajqe.htm/, Retrieved Sun, 28 Apr 2024 16:31:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64777, Retrieved Sun, 28 Apr 2024 16:31:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [prijs van rode ta...] [2009-12-08 18:39:08] [6590c54be3d1f5d26c781440f79f0ebc] [Current]
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Dataseries X:
2,12
2,12
2,13
2,14
2,15
2,15
2,16
2,17
2,17
2,18
2,17
2,17
2,18
2,17
2,18
2,18
2,18
2,17
2,17
2,18
2,17
2,18
2,17
2,17
2,17
2,17
2,17
2,17
2,17
2,17
2,17
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,19
2,19
2,19
2,2
2,2
2,21
2,21
2,21
2,2
2,21
2,2
2,21
2,21
2,22
2,22
2,23
2,24
2,24
2,25
2,25
2,32
2,36
2,37
2,37
2,37
2,38
2,38
2,41
2,42
2,43
2,44
2,44
2,44
2,43
2,43
2,43
2,42
2,42
2,42
2,42
2,42




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=64777&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=64777&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64777&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
10.9658938.90510
20.9280098.55580
30.8878638.18570
40.8476997.81540
50.8072787.44270
60.7617647.02310
70.7159946.60110
80.6671376.15070
90.6149555.66960
100.5615755.17751e-06
110.5058534.66376e-06
120.4518034.16543.7e-05
130.4008213.69540.000194
140.3512943.23880.000857
150.3093592.85220.002725
160.2668342.46010.007958
170.2260992.08450.020057
180.183141.68850.047493
190.1395921.2870.100798
200.0995840.91810.180577
210.0662820.61110.271385
220.0492640.45420.325423
230.0303780.28010.390053
240.0135170.12460.45056
25-0.003816-0.03520.486008
26-0.019478-0.17960.428957
27-0.033467-0.30860.379208
28-0.047575-0.43860.331025
29-0.060129-0.55440.290393
30-0.072919-0.67230.251613
31-0.083802-0.77260.220947
32-0.095077-0.87660.191595
33-0.104563-0.9640.168884
34-0.116429-1.07340.14306
35-0.128884-1.18830.119021
36-0.141576-1.30530.097662
37-0.152006-1.40140.082364
38-0.162436-1.49760.068973
39-0.170958-1.57620.059352
40-0.179598-1.65580.050723
41-0.188357-1.73660.043044
42-0.195915-1.80630.037209
43-0.202648-1.86830.032581
44-0.210089-1.93690.028038
45-0.215897-1.99050.024876
46-0.222177-2.04840.021805
47-0.228929-2.11060.018872
48-0.233458-2.15240.017101

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.965893 & 8.9051 & 0 \tabularnewline
2 & 0.928009 & 8.5558 & 0 \tabularnewline
3 & 0.887863 & 8.1857 & 0 \tabularnewline
4 & 0.847699 & 7.8154 & 0 \tabularnewline
5 & 0.807278 & 7.4427 & 0 \tabularnewline
6 & 0.761764 & 7.0231 & 0 \tabularnewline
7 & 0.715994 & 6.6011 & 0 \tabularnewline
8 & 0.667137 & 6.1507 & 0 \tabularnewline
9 & 0.614955 & 5.6696 & 0 \tabularnewline
10 & 0.561575 & 5.1775 & 1e-06 \tabularnewline
11 & 0.505853 & 4.6637 & 6e-06 \tabularnewline
12 & 0.451803 & 4.1654 & 3.7e-05 \tabularnewline
13 & 0.400821 & 3.6954 & 0.000194 \tabularnewline
14 & 0.351294 & 3.2388 & 0.000857 \tabularnewline
15 & 0.309359 & 2.8522 & 0.002725 \tabularnewline
16 & 0.266834 & 2.4601 & 0.007958 \tabularnewline
17 & 0.226099 & 2.0845 & 0.020057 \tabularnewline
18 & 0.18314 & 1.6885 & 0.047493 \tabularnewline
19 & 0.139592 & 1.287 & 0.100798 \tabularnewline
20 & 0.099584 & 0.9181 & 0.180577 \tabularnewline
21 & 0.066282 & 0.6111 & 0.271385 \tabularnewline
22 & 0.049264 & 0.4542 & 0.325423 \tabularnewline
23 & 0.030378 & 0.2801 & 0.390053 \tabularnewline
24 & 0.013517 & 0.1246 & 0.45056 \tabularnewline
25 & -0.003816 & -0.0352 & 0.486008 \tabularnewline
26 & -0.019478 & -0.1796 & 0.428957 \tabularnewline
27 & -0.033467 & -0.3086 & 0.379208 \tabularnewline
28 & -0.047575 & -0.4386 & 0.331025 \tabularnewline
29 & -0.060129 & -0.5544 & 0.290393 \tabularnewline
30 & -0.072919 & -0.6723 & 0.251613 \tabularnewline
31 & -0.083802 & -0.7726 & 0.220947 \tabularnewline
32 & -0.095077 & -0.8766 & 0.191595 \tabularnewline
33 & -0.104563 & -0.964 & 0.168884 \tabularnewline
34 & -0.116429 & -1.0734 & 0.14306 \tabularnewline
35 & -0.128884 & -1.1883 & 0.119021 \tabularnewline
36 & -0.141576 & -1.3053 & 0.097662 \tabularnewline
37 & -0.152006 & -1.4014 & 0.082364 \tabularnewline
38 & -0.162436 & -1.4976 & 0.068973 \tabularnewline
39 & -0.170958 & -1.5762 & 0.059352 \tabularnewline
40 & -0.179598 & -1.6558 & 0.050723 \tabularnewline
41 & -0.188357 & -1.7366 & 0.043044 \tabularnewline
42 & -0.195915 & -1.8063 & 0.037209 \tabularnewline
43 & -0.202648 & -1.8683 & 0.032581 \tabularnewline
44 & -0.210089 & -1.9369 & 0.028038 \tabularnewline
45 & -0.215897 & -1.9905 & 0.024876 \tabularnewline
46 & -0.222177 & -2.0484 & 0.021805 \tabularnewline
47 & -0.228929 & -2.1106 & 0.018872 \tabularnewline
48 & -0.233458 & -2.1524 & 0.017101 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64777&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]0.965893[/C][C]8.9051[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.928009[/C][C]8.5558[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.887863[/C][C]8.1857[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.847699[/C][C]7.8154[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.807278[/C][C]7.4427[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.761764[/C][C]7.0231[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.715994[/C][C]6.6011[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.667137[/C][C]6.1507[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.614955[/C][C]5.6696[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.561575[/C][C]5.1775[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.505853[/C][C]4.6637[/C][C]6e-06[/C][/ROW]
[ROW][C]12[/C][C]0.451803[/C][C]4.1654[/C][C]3.7e-05[/C][/ROW]
[ROW][C]13[/C][C]0.400821[/C][C]3.6954[/C][C]0.000194[/C][/ROW]
[ROW][C]14[/C][C]0.351294[/C][C]3.2388[/C][C]0.000857[/C][/ROW]
[ROW][C]15[/C][C]0.309359[/C][C]2.8522[/C][C]0.002725[/C][/ROW]
[ROW][C]16[/C][C]0.266834[/C][C]2.4601[/C][C]0.007958[/C][/ROW]
[ROW][C]17[/C][C]0.226099[/C][C]2.0845[/C][C]0.020057[/C][/ROW]
[ROW][C]18[/C][C]0.18314[/C][C]1.6885[/C][C]0.047493[/C][/ROW]
[ROW][C]19[/C][C]0.139592[/C][C]1.287[/C][C]0.100798[/C][/ROW]
[ROW][C]20[/C][C]0.099584[/C][C]0.9181[/C][C]0.180577[/C][/ROW]
[ROW][C]21[/C][C]0.066282[/C][C]0.6111[/C][C]0.271385[/C][/ROW]
[ROW][C]22[/C][C]0.049264[/C][C]0.4542[/C][C]0.325423[/C][/ROW]
[ROW][C]23[/C][C]0.030378[/C][C]0.2801[/C][C]0.390053[/C][/ROW]
[ROW][C]24[/C][C]0.013517[/C][C]0.1246[/C][C]0.45056[/C][/ROW]
[ROW][C]25[/C][C]-0.003816[/C][C]-0.0352[/C][C]0.486008[/C][/ROW]
[ROW][C]26[/C][C]-0.019478[/C][C]-0.1796[/C][C]0.428957[/C][/ROW]
[ROW][C]27[/C][C]-0.033467[/C][C]-0.3086[/C][C]0.379208[/C][/ROW]
[ROW][C]28[/C][C]-0.047575[/C][C]-0.4386[/C][C]0.331025[/C][/ROW]
[ROW][C]29[/C][C]-0.060129[/C][C]-0.5544[/C][C]0.290393[/C][/ROW]
[ROW][C]30[/C][C]-0.072919[/C][C]-0.6723[/C][C]0.251613[/C][/ROW]
[ROW][C]31[/C][C]-0.083802[/C][C]-0.7726[/C][C]0.220947[/C][/ROW]
[ROW][C]32[/C][C]-0.095077[/C][C]-0.8766[/C][C]0.191595[/C][/ROW]
[ROW][C]33[/C][C]-0.104563[/C][C]-0.964[/C][C]0.168884[/C][/ROW]
[ROW][C]34[/C][C]-0.116429[/C][C]-1.0734[/C][C]0.14306[/C][/ROW]
[ROW][C]35[/C][C]-0.128884[/C][C]-1.1883[/C][C]0.119021[/C][/ROW]
[ROW][C]36[/C][C]-0.141576[/C][C]-1.3053[/C][C]0.097662[/C][/ROW]
[ROW][C]37[/C][C]-0.152006[/C][C]-1.4014[/C][C]0.082364[/C][/ROW]
[ROW][C]38[/C][C]-0.162436[/C][C]-1.4976[/C][C]0.068973[/C][/ROW]
[ROW][C]39[/C][C]-0.170958[/C][C]-1.5762[/C][C]0.059352[/C][/ROW]
[ROW][C]40[/C][C]-0.179598[/C][C]-1.6558[/C][C]0.050723[/C][/ROW]
[ROW][C]41[/C][C]-0.188357[/C][C]-1.7366[/C][C]0.043044[/C][/ROW]
[ROW][C]42[/C][C]-0.195915[/C][C]-1.8063[/C][C]0.037209[/C][/ROW]
[ROW][C]43[/C][C]-0.202648[/C][C]-1.8683[/C][C]0.032581[/C][/ROW]
[ROW][C]44[/C][C]-0.210089[/C][C]-1.9369[/C][C]0.028038[/C][/ROW]
[ROW][C]45[/C][C]-0.215897[/C][C]-1.9905[/C][C]0.024876[/C][/ROW]
[ROW][C]46[/C][C]-0.222177[/C][C]-2.0484[/C][C]0.021805[/C][/ROW]
[ROW][C]47[/C][C]-0.228929[/C][C]-2.1106[/C][C]0.018872[/C][/ROW]
[ROW][C]48[/C][C]-0.233458[/C][C]-2.1524[/C][C]0.017101[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64777&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64777&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
10.9658938.90510
20.9280098.55580
30.8878638.18570
40.8476997.81540
50.8072787.44270
60.7617647.02310
70.7159946.60110
80.6671376.15070
90.6149555.66960
100.5615755.17751e-06
110.5058534.66376e-06
120.4518034.16543.7e-05
130.4008213.69540.000194
140.3512943.23880.000857
150.3093592.85220.002725
160.2668342.46010.007958
170.2260992.08450.020057
180.183141.68850.047493
190.1395921.2870.100798
200.0995840.91810.180577
210.0662820.61110.271385
220.0492640.45420.325423
230.0303780.28010.390053
240.0135170.12460.45056
25-0.003816-0.03520.486008
26-0.019478-0.17960.428957
27-0.033467-0.30860.379208
28-0.047575-0.43860.331025
29-0.060129-0.55440.290393
30-0.072919-0.67230.251613
31-0.083802-0.77260.220947
32-0.095077-0.87660.191595
33-0.104563-0.9640.168884
34-0.116429-1.07340.14306
35-0.128884-1.18830.119021
36-0.141576-1.30530.097662
37-0.152006-1.40140.082364
38-0.162436-1.49760.068973
39-0.170958-1.57620.059352
40-0.179598-1.65580.050723
41-0.188357-1.73660.043044
42-0.195915-1.80630.037209
43-0.202648-1.86830.032581
44-0.210089-1.93690.028038
45-0.215897-1.99050.024876
46-0.222177-2.04840.021805
47-0.228929-2.11060.018872
48-0.233458-2.15240.017101







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9658938.90510
2-0.07367-0.67920.249426
3-0.050546-0.4660.321201
4-0.0182-0.16780.433571
5-0.024749-0.22820.410029
6-0.098779-0.91070.182516
7-0.022072-0.20350.419619
8-0.069259-0.63850.26242
9-0.076804-0.70810.24041
10-0.044713-0.41220.340604
11-0.062585-0.5770.282731
12-0.010552-0.09730.461366
130.0136940.12630.449915
14-0.014201-0.13090.448071
150.0800650.73820.231223
16-0.042439-0.39130.34829
17-0.009238-0.08520.466165
18-0.069409-0.63990.261973
19-0.044967-0.41460.33975
20-0.002017-0.01860.492605
210.0598410.55170.291298
220.1947581.79560.038058
23-0.081241-0.7490.22796
240.0012090.01110.495567
25-0.041034-0.37830.353071
26-0.00382-0.03520.485995
27-0.024619-0.2270.410493
28-0.025978-0.23950.405646
29-0.015808-0.14570.442236
30-0.059818-0.55150.291372
31-0.003095-0.02850.48865
32-0.054532-0.50280.308216
330.023180.21370.415642
34-0.045249-0.41720.338802
35-0.010501-0.09680.461552
360.0172390.15890.437047
37-0.008213-0.07570.469909
38-0.022764-0.20990.417133
39-0.018739-0.17280.431625
40-0.018095-0.16680.433949
41-0.009042-0.08340.466879
420.0336220.310.378668
430.0373290.34420.365788
44-0.067886-0.62590.266536
450.0237090.21860.413749
46-0.052262-0.48180.315581
47-0.014068-0.12970.448554
480.0031590.02910.488418

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.965893 & 8.9051 & 0 \tabularnewline
2 & -0.07367 & -0.6792 & 0.249426 \tabularnewline
3 & -0.050546 & -0.466 & 0.321201 \tabularnewline
4 & -0.0182 & -0.1678 & 0.433571 \tabularnewline
5 & -0.024749 & -0.2282 & 0.410029 \tabularnewline
6 & -0.098779 & -0.9107 & 0.182516 \tabularnewline
7 & -0.022072 & -0.2035 & 0.419619 \tabularnewline
8 & -0.069259 & -0.6385 & 0.26242 \tabularnewline
9 & -0.076804 & -0.7081 & 0.24041 \tabularnewline
10 & -0.044713 & -0.4122 & 0.340604 \tabularnewline
11 & -0.062585 & -0.577 & 0.282731 \tabularnewline
12 & -0.010552 & -0.0973 & 0.461366 \tabularnewline
13 & 0.013694 & 0.1263 & 0.449915 \tabularnewline
14 & -0.014201 & -0.1309 & 0.448071 \tabularnewline
15 & 0.080065 & 0.7382 & 0.231223 \tabularnewline
16 & -0.042439 & -0.3913 & 0.34829 \tabularnewline
17 & -0.009238 & -0.0852 & 0.466165 \tabularnewline
18 & -0.069409 & -0.6399 & 0.261973 \tabularnewline
19 & -0.044967 & -0.4146 & 0.33975 \tabularnewline
20 & -0.002017 & -0.0186 & 0.492605 \tabularnewline
21 & 0.059841 & 0.5517 & 0.291298 \tabularnewline
22 & 0.194758 & 1.7956 & 0.038058 \tabularnewline
23 & -0.081241 & -0.749 & 0.22796 \tabularnewline
24 & 0.001209 & 0.0111 & 0.495567 \tabularnewline
25 & -0.041034 & -0.3783 & 0.353071 \tabularnewline
26 & -0.00382 & -0.0352 & 0.485995 \tabularnewline
27 & -0.024619 & -0.227 & 0.410493 \tabularnewline
28 & -0.025978 & -0.2395 & 0.405646 \tabularnewline
29 & -0.015808 & -0.1457 & 0.442236 \tabularnewline
30 & -0.059818 & -0.5515 & 0.291372 \tabularnewline
31 & -0.003095 & -0.0285 & 0.48865 \tabularnewline
32 & -0.054532 & -0.5028 & 0.308216 \tabularnewline
33 & 0.02318 & 0.2137 & 0.415642 \tabularnewline
34 & -0.045249 & -0.4172 & 0.338802 \tabularnewline
35 & -0.010501 & -0.0968 & 0.461552 \tabularnewline
36 & 0.017239 & 0.1589 & 0.437047 \tabularnewline
37 & -0.008213 & -0.0757 & 0.469909 \tabularnewline
38 & -0.022764 & -0.2099 & 0.417133 \tabularnewline
39 & -0.018739 & -0.1728 & 0.431625 \tabularnewline
40 & -0.018095 & -0.1668 & 0.433949 \tabularnewline
41 & -0.009042 & -0.0834 & 0.466879 \tabularnewline
42 & 0.033622 & 0.31 & 0.378668 \tabularnewline
43 & 0.037329 & 0.3442 & 0.365788 \tabularnewline
44 & -0.067886 & -0.6259 & 0.266536 \tabularnewline
45 & 0.023709 & 0.2186 & 0.413749 \tabularnewline
46 & -0.052262 & -0.4818 & 0.315581 \tabularnewline
47 & -0.014068 & -0.1297 & 0.448554 \tabularnewline
48 & 0.003159 & 0.0291 & 0.488418 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64777&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]0.965893[/C][C]8.9051[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.07367[/C][C]-0.6792[/C][C]0.249426[/C][/ROW]
[ROW][C]3[/C][C]-0.050546[/C][C]-0.466[/C][C]0.321201[/C][/ROW]
[ROW][C]4[/C][C]-0.0182[/C][C]-0.1678[/C][C]0.433571[/C][/ROW]
[ROW][C]5[/C][C]-0.024749[/C][C]-0.2282[/C][C]0.410029[/C][/ROW]
[ROW][C]6[/C][C]-0.098779[/C][C]-0.9107[/C][C]0.182516[/C][/ROW]
[ROW][C]7[/C][C]-0.022072[/C][C]-0.2035[/C][C]0.419619[/C][/ROW]
[ROW][C]8[/C][C]-0.069259[/C][C]-0.6385[/C][C]0.26242[/C][/ROW]
[ROW][C]9[/C][C]-0.076804[/C][C]-0.7081[/C][C]0.24041[/C][/ROW]
[ROW][C]10[/C][C]-0.044713[/C][C]-0.4122[/C][C]0.340604[/C][/ROW]
[ROW][C]11[/C][C]-0.062585[/C][C]-0.577[/C][C]0.282731[/C][/ROW]
[ROW][C]12[/C][C]-0.010552[/C][C]-0.0973[/C][C]0.461366[/C][/ROW]
[ROW][C]13[/C][C]0.013694[/C][C]0.1263[/C][C]0.449915[/C][/ROW]
[ROW][C]14[/C][C]-0.014201[/C][C]-0.1309[/C][C]0.448071[/C][/ROW]
[ROW][C]15[/C][C]0.080065[/C][C]0.7382[/C][C]0.231223[/C][/ROW]
[ROW][C]16[/C][C]-0.042439[/C][C]-0.3913[/C][C]0.34829[/C][/ROW]
[ROW][C]17[/C][C]-0.009238[/C][C]-0.0852[/C][C]0.466165[/C][/ROW]
[ROW][C]18[/C][C]-0.069409[/C][C]-0.6399[/C][C]0.261973[/C][/ROW]
[ROW][C]19[/C][C]-0.044967[/C][C]-0.4146[/C][C]0.33975[/C][/ROW]
[ROW][C]20[/C][C]-0.002017[/C][C]-0.0186[/C][C]0.492605[/C][/ROW]
[ROW][C]21[/C][C]0.059841[/C][C]0.5517[/C][C]0.291298[/C][/ROW]
[ROW][C]22[/C][C]0.194758[/C][C]1.7956[/C][C]0.038058[/C][/ROW]
[ROW][C]23[/C][C]-0.081241[/C][C]-0.749[/C][C]0.22796[/C][/ROW]
[ROW][C]24[/C][C]0.001209[/C][C]0.0111[/C][C]0.495567[/C][/ROW]
[ROW][C]25[/C][C]-0.041034[/C][C]-0.3783[/C][C]0.353071[/C][/ROW]
[ROW][C]26[/C][C]-0.00382[/C][C]-0.0352[/C][C]0.485995[/C][/ROW]
[ROW][C]27[/C][C]-0.024619[/C][C]-0.227[/C][C]0.410493[/C][/ROW]
[ROW][C]28[/C][C]-0.025978[/C][C]-0.2395[/C][C]0.405646[/C][/ROW]
[ROW][C]29[/C][C]-0.015808[/C][C]-0.1457[/C][C]0.442236[/C][/ROW]
[ROW][C]30[/C][C]-0.059818[/C][C]-0.5515[/C][C]0.291372[/C][/ROW]
[ROW][C]31[/C][C]-0.003095[/C][C]-0.0285[/C][C]0.48865[/C][/ROW]
[ROW][C]32[/C][C]-0.054532[/C][C]-0.5028[/C][C]0.308216[/C][/ROW]
[ROW][C]33[/C][C]0.02318[/C][C]0.2137[/C][C]0.415642[/C][/ROW]
[ROW][C]34[/C][C]-0.045249[/C][C]-0.4172[/C][C]0.338802[/C][/ROW]
[ROW][C]35[/C][C]-0.010501[/C][C]-0.0968[/C][C]0.461552[/C][/ROW]
[ROW][C]36[/C][C]0.017239[/C][C]0.1589[/C][C]0.437047[/C][/ROW]
[ROW][C]37[/C][C]-0.008213[/C][C]-0.0757[/C][C]0.469909[/C][/ROW]
[ROW][C]38[/C][C]-0.022764[/C][C]-0.2099[/C][C]0.417133[/C][/ROW]
[ROW][C]39[/C][C]-0.018739[/C][C]-0.1728[/C][C]0.431625[/C][/ROW]
[ROW][C]40[/C][C]-0.018095[/C][C]-0.1668[/C][C]0.433949[/C][/ROW]
[ROW][C]41[/C][C]-0.009042[/C][C]-0.0834[/C][C]0.466879[/C][/ROW]
[ROW][C]42[/C][C]0.033622[/C][C]0.31[/C][C]0.378668[/C][/ROW]
[ROW][C]43[/C][C]0.037329[/C][C]0.3442[/C][C]0.365788[/C][/ROW]
[ROW][C]44[/C][C]-0.067886[/C][C]-0.6259[/C][C]0.266536[/C][/ROW]
[ROW][C]45[/C][C]0.023709[/C][C]0.2186[/C][C]0.413749[/C][/ROW]
[ROW][C]46[/C][C]-0.052262[/C][C]-0.4818[/C][C]0.315581[/C][/ROW]
[ROW][C]47[/C][C]-0.014068[/C][C]-0.1297[/C][C]0.448554[/C][/ROW]
[ROW][C]48[/C][C]0.003159[/C][C]0.0291[/C][C]0.488418[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64777&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64777&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
10.9658938.90510
2-0.07367-0.67920.249426
3-0.050546-0.4660.321201
4-0.0182-0.16780.433571
5-0.024749-0.22820.410029
6-0.098779-0.91070.182516
7-0.022072-0.20350.419619
8-0.069259-0.63850.26242
9-0.076804-0.70810.24041
10-0.044713-0.41220.340604
11-0.062585-0.5770.282731
12-0.010552-0.09730.461366
130.0136940.12630.449915
14-0.014201-0.13090.448071
150.0800650.73820.231223
16-0.042439-0.39130.34829
17-0.009238-0.08520.466165
18-0.069409-0.63990.261973
19-0.044967-0.41460.33975
20-0.002017-0.01860.492605
210.0598410.55170.291298
220.1947581.79560.038058
23-0.081241-0.7490.22796
240.0012090.01110.495567
25-0.041034-0.37830.353071
26-0.00382-0.03520.485995
27-0.024619-0.2270.410493
28-0.025978-0.23950.405646
29-0.015808-0.14570.442236
30-0.059818-0.55150.291372
31-0.003095-0.02850.48865
32-0.054532-0.50280.308216
330.023180.21370.415642
34-0.045249-0.41720.338802
35-0.010501-0.09680.461552
360.0172390.15890.437047
37-0.008213-0.07570.469909
38-0.022764-0.20990.417133
39-0.018739-0.17280.431625
40-0.018095-0.16680.433949
41-0.009042-0.08340.466879
420.0336220.310.378668
430.0373290.34420.365788
44-0.067886-0.62590.266536
450.0237090.21860.413749
46-0.052262-0.48180.315581
47-0.014068-0.12970.448554
480.0031590.02910.488418



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; 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')