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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 06 Dec 2008 02:21:55 -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/06/t1228556944n4l2f3w9r2mvg4c.htm/, Retrieved Fri, 17 May 2024 06:36:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29450, Retrieved Fri, 17 May 2024 06:36:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact244
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2008-12-06 09:21:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   PD    [(Partial) Autocorrelation Function] [Autocorrelatie (t...] [2008-12-06 15:53:42] [74be16979710d4c4e7c6647856088456]
-    D    [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2008-12-06 16:06:16] [74be16979710d4c4e7c6647856088456]
-   PD    [(Partial) Autocorrelation Function] [Autocorrelatie (t...] [2008-12-06 16:15:46] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
5,6
5,6
5,6
5,6
5,6
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,82
5,82
5,95
5,95
5,95
5,95
5,95
5,95
6,02
6,02
6,05
6,05
6,05
6,12
6,12
6,12
6,12
6,12
6,12
6,12
6,12
6,17
6,17
6,17
6,17
6,17
6,28
6,27
6,28
6,28
6,27
6,27
6,28
6,59
6,59
6,59
6,59
6,59
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,79
6,79
6,79




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=29450&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=29450&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29450&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
10.9556778.10920
20.9111667.73150
30.8644437.3350
40.8271087.01820
50.7898716.70230
60.754226.39980
70.7178816.09140
80.6781395.75420
90.6366765.40240
100.594235.04222e-06
110.5513024.6787e-06
120.5064264.29722.7e-05
130.4595943.89980.000107
140.4106273.48430.000422
150.3705663.14440.001209
160.3304362.80380.003243
170.2976412.52560.006876
180.2636352.2370.014191
190.2288431.94180.028037
200.1932051.63940.052747
210.1577181.33830.092508
220.1214941.03090.153017
230.0840730.71340.238958
240.045580.38680.350038
250.0073790.06260.475124
26-0.014929-0.12670.449775
27-0.038406-0.32590.372727
28-0.05777-0.49020.312744
29-0.077695-0.65930.255916
30-0.09935-0.8430.201006
31-0.121025-1.02690.153946
32-0.147244-1.24940.107782
33-0.167217-1.41890.080124
34-0.191764-1.62720.054035
35-0.217097-1.84210.034787
36-0.240242-2.03850.022586
37-0.263829-2.23870.014135
38-0.28458-2.41470.009144
39-0.30592-2.59580.005715
40-0.327191-2.77630.003501
41-0.341983-2.90180.00246
42-0.357432-3.03290.001683
43-0.375528-3.18650.001065
44-0.393623-3.340.000665
45-0.412308-3.49850.000403
46-0.427397-3.62660.000266
47-0.441896-3.74960.000177
48-0.439509-3.72940.00019

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.955677 & 8.1092 & 0 \tabularnewline
2 & 0.911166 & 7.7315 & 0 \tabularnewline
3 & 0.864443 & 7.335 & 0 \tabularnewline
4 & 0.827108 & 7.0182 & 0 \tabularnewline
5 & 0.789871 & 6.7023 & 0 \tabularnewline
6 & 0.75422 & 6.3998 & 0 \tabularnewline
7 & 0.717881 & 6.0914 & 0 \tabularnewline
8 & 0.678139 & 5.7542 & 0 \tabularnewline
9 & 0.636676 & 5.4024 & 0 \tabularnewline
10 & 0.59423 & 5.0422 & 2e-06 \tabularnewline
11 & 0.551302 & 4.678 & 7e-06 \tabularnewline
12 & 0.506426 & 4.2972 & 2.7e-05 \tabularnewline
13 & 0.459594 & 3.8998 & 0.000107 \tabularnewline
14 & 0.410627 & 3.4843 & 0.000422 \tabularnewline
15 & 0.370566 & 3.1444 & 0.001209 \tabularnewline
16 & 0.330436 & 2.8038 & 0.003243 \tabularnewline
17 & 0.297641 & 2.5256 & 0.006876 \tabularnewline
18 & 0.263635 & 2.237 & 0.014191 \tabularnewline
19 & 0.228843 & 1.9418 & 0.028037 \tabularnewline
20 & 0.193205 & 1.6394 & 0.052747 \tabularnewline
21 & 0.157718 & 1.3383 & 0.092508 \tabularnewline
22 & 0.121494 & 1.0309 & 0.153017 \tabularnewline
23 & 0.084073 & 0.7134 & 0.238958 \tabularnewline
24 & 0.04558 & 0.3868 & 0.350038 \tabularnewline
25 & 0.007379 & 0.0626 & 0.475124 \tabularnewline
26 & -0.014929 & -0.1267 & 0.449775 \tabularnewline
27 & -0.038406 & -0.3259 & 0.372727 \tabularnewline
28 & -0.05777 & -0.4902 & 0.312744 \tabularnewline
29 & -0.077695 & -0.6593 & 0.255916 \tabularnewline
30 & -0.09935 & -0.843 & 0.201006 \tabularnewline
31 & -0.121025 & -1.0269 & 0.153946 \tabularnewline
32 & -0.147244 & -1.2494 & 0.107782 \tabularnewline
33 & -0.167217 & -1.4189 & 0.080124 \tabularnewline
34 & -0.191764 & -1.6272 & 0.054035 \tabularnewline
35 & -0.217097 & -1.8421 & 0.034787 \tabularnewline
36 & -0.240242 & -2.0385 & 0.022586 \tabularnewline
37 & -0.263829 & -2.2387 & 0.014135 \tabularnewline
38 & -0.28458 & -2.4147 & 0.009144 \tabularnewline
39 & -0.30592 & -2.5958 & 0.005715 \tabularnewline
40 & -0.327191 & -2.7763 & 0.003501 \tabularnewline
41 & -0.341983 & -2.9018 & 0.00246 \tabularnewline
42 & -0.357432 & -3.0329 & 0.001683 \tabularnewline
43 & -0.375528 & -3.1865 & 0.001065 \tabularnewline
44 & -0.393623 & -3.34 & 0.000665 \tabularnewline
45 & -0.412308 & -3.4985 & 0.000403 \tabularnewline
46 & -0.427397 & -3.6266 & 0.000266 \tabularnewline
47 & -0.441896 & -3.7496 & 0.000177 \tabularnewline
48 & -0.439509 & -3.7294 & 0.00019 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29450&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]0.955677[/C][C]8.1092[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.911166[/C][C]7.7315[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.864443[/C][C]7.335[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.827108[/C][C]7.0182[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.789871[/C][C]6.7023[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.75422[/C][C]6.3998[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.717881[/C][C]6.0914[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.678139[/C][C]5.7542[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.636676[/C][C]5.4024[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.59423[/C][C]5.0422[/C][C]2e-06[/C][/ROW]
[ROW][C]11[/C][C]0.551302[/C][C]4.678[/C][C]7e-06[/C][/ROW]
[ROW][C]12[/C][C]0.506426[/C][C]4.2972[/C][C]2.7e-05[/C][/ROW]
[ROW][C]13[/C][C]0.459594[/C][C]3.8998[/C][C]0.000107[/C][/ROW]
[ROW][C]14[/C][C]0.410627[/C][C]3.4843[/C][C]0.000422[/C][/ROW]
[ROW][C]15[/C][C]0.370566[/C][C]3.1444[/C][C]0.001209[/C][/ROW]
[ROW][C]16[/C][C]0.330436[/C][C]2.8038[/C][C]0.003243[/C][/ROW]
[ROW][C]17[/C][C]0.297641[/C][C]2.5256[/C][C]0.006876[/C][/ROW]
[ROW][C]18[/C][C]0.263635[/C][C]2.237[/C][C]0.014191[/C][/ROW]
[ROW][C]19[/C][C]0.228843[/C][C]1.9418[/C][C]0.028037[/C][/ROW]
[ROW][C]20[/C][C]0.193205[/C][C]1.6394[/C][C]0.052747[/C][/ROW]
[ROW][C]21[/C][C]0.157718[/C][C]1.3383[/C][C]0.092508[/C][/ROW]
[ROW][C]22[/C][C]0.121494[/C][C]1.0309[/C][C]0.153017[/C][/ROW]
[ROW][C]23[/C][C]0.084073[/C][C]0.7134[/C][C]0.238958[/C][/ROW]
[ROW][C]24[/C][C]0.04558[/C][C]0.3868[/C][C]0.350038[/C][/ROW]
[ROW][C]25[/C][C]0.007379[/C][C]0.0626[/C][C]0.475124[/C][/ROW]
[ROW][C]26[/C][C]-0.014929[/C][C]-0.1267[/C][C]0.449775[/C][/ROW]
[ROW][C]27[/C][C]-0.038406[/C][C]-0.3259[/C][C]0.372727[/C][/ROW]
[ROW][C]28[/C][C]-0.05777[/C][C]-0.4902[/C][C]0.312744[/C][/ROW]
[ROW][C]29[/C][C]-0.077695[/C][C]-0.6593[/C][C]0.255916[/C][/ROW]
[ROW][C]30[/C][C]-0.09935[/C][C]-0.843[/C][C]0.201006[/C][/ROW]
[ROW][C]31[/C][C]-0.121025[/C][C]-1.0269[/C][C]0.153946[/C][/ROW]
[ROW][C]32[/C][C]-0.147244[/C][C]-1.2494[/C][C]0.107782[/C][/ROW]
[ROW][C]33[/C][C]-0.167217[/C][C]-1.4189[/C][C]0.080124[/C][/ROW]
[ROW][C]34[/C][C]-0.191764[/C][C]-1.6272[/C][C]0.054035[/C][/ROW]
[ROW][C]35[/C][C]-0.217097[/C][C]-1.8421[/C][C]0.034787[/C][/ROW]
[ROW][C]36[/C][C]-0.240242[/C][C]-2.0385[/C][C]0.022586[/C][/ROW]
[ROW][C]37[/C][C]-0.263829[/C][C]-2.2387[/C][C]0.014135[/C][/ROW]
[ROW][C]38[/C][C]-0.28458[/C][C]-2.4147[/C][C]0.009144[/C][/ROW]
[ROW][C]39[/C][C]-0.30592[/C][C]-2.5958[/C][C]0.005715[/C][/ROW]
[ROW][C]40[/C][C]-0.327191[/C][C]-2.7763[/C][C]0.003501[/C][/ROW]
[ROW][C]41[/C][C]-0.341983[/C][C]-2.9018[/C][C]0.00246[/C][/ROW]
[ROW][C]42[/C][C]-0.357432[/C][C]-3.0329[/C][C]0.001683[/C][/ROW]
[ROW][C]43[/C][C]-0.375528[/C][C]-3.1865[/C][C]0.001065[/C][/ROW]
[ROW][C]44[/C][C]-0.393623[/C][C]-3.34[/C][C]0.000665[/C][/ROW]
[ROW][C]45[/C][C]-0.412308[/C][C]-3.4985[/C][C]0.000403[/C][/ROW]
[ROW][C]46[/C][C]-0.427397[/C][C]-3.6266[/C][C]0.000266[/C][/ROW]
[ROW][C]47[/C][C]-0.441896[/C][C]-3.7496[/C][C]0.000177[/C][/ROW]
[ROW][C]48[/C][C]-0.439509[/C][C]-3.7294[/C][C]0.00019[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29450&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29450&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
10.9556778.10920
20.9111667.73150
30.8644437.3350
40.8271087.01820
50.7898716.70230
60.754226.39980
70.7178816.09140
80.6781395.75420
90.6366765.40240
100.594235.04222e-06
110.5513024.6787e-06
120.5064264.29722.7e-05
130.4595943.89980.000107
140.4106273.48430.000422
150.3705663.14440.001209
160.3304362.80380.003243
170.2976412.52560.006876
180.2636352.2370.014191
190.2288431.94180.028037
200.1932051.63940.052747
210.1577181.33830.092508
220.1214941.03090.153017
230.0840730.71340.238958
240.045580.38680.350038
250.0073790.06260.475124
26-0.014929-0.12670.449775
27-0.038406-0.32590.372727
28-0.05777-0.49020.312744
29-0.077695-0.65930.255916
30-0.09935-0.8430.201006
31-0.121025-1.02690.153946
32-0.147244-1.24940.107782
33-0.167217-1.41890.080124
34-0.191764-1.62720.054035
35-0.217097-1.84210.034787
36-0.240242-2.03850.022586
37-0.263829-2.23870.014135
38-0.28458-2.41470.009144
39-0.30592-2.59580.005715
40-0.327191-2.77630.003501
41-0.341983-2.90180.00246
42-0.357432-3.03290.001683
43-0.375528-3.18650.001065
44-0.393623-3.340.000665
45-0.412308-3.49850.000403
46-0.427397-3.62660.000266
47-0.441896-3.74960.000177
48-0.439509-3.72940.00019







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9556778.10920
2-0.02482-0.21060.416896
3-0.048828-0.41430.339935
40.0836350.70970.240102
5-0.019653-0.16680.434012
6-0.008104-0.06880.472685
7-0.017616-0.14950.440798
8-0.061506-0.52190.301673
9-0.039896-0.33850.367974
10-0.03486-0.29580.384118
11-0.039086-0.33170.370558
12-0.053665-0.45540.325109
13-0.055756-0.47310.318786
14-0.058602-0.49730.310263
150.0678220.57550.283377
16-0.034048-0.28890.386742
170.0467350.39660.346432
18-0.019567-0.1660.434299
19-0.03981-0.33780.368249
20-0.015169-0.12870.448971
21-0.025396-0.21550.414998
22-0.045468-0.38580.350389
23-0.048655-0.41290.34047
24-0.054196-0.45990.323497
25-0.038305-0.3250.373051
260.1481121.25680.106449
27-0.053561-0.45450.325426
280.0068970.05850.476748
290.0125450.10640.457763
30-0.058908-0.49980.309353
310.0059080.05010.480077
32-0.083349-0.70720.24085
330.0282310.23950.405682
34-0.087412-0.74170.230336
35-0.065376-0.55470.290398
360.0018610.01580.493721
37-0.060845-0.51630.303617
38-0.021415-0.18170.42816
39-0.047206-0.40060.344966
40-0.012875-0.10920.456656
410.0428260.36340.358689
42-0.004238-0.0360.485705
43-0.073016-0.61960.268752
44-0.020866-0.17710.429982
45-0.042216-0.35820.360615
46-0.019303-0.16380.435178
47-0.016314-0.13840.445145
480.1357091.15150.126662

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.955677 & 8.1092 & 0 \tabularnewline
2 & -0.02482 & -0.2106 & 0.416896 \tabularnewline
3 & -0.048828 & -0.4143 & 0.339935 \tabularnewline
4 & 0.083635 & 0.7097 & 0.240102 \tabularnewline
5 & -0.019653 & -0.1668 & 0.434012 \tabularnewline
6 & -0.008104 & -0.0688 & 0.472685 \tabularnewline
7 & -0.017616 & -0.1495 & 0.440798 \tabularnewline
8 & -0.061506 & -0.5219 & 0.301673 \tabularnewline
9 & -0.039896 & -0.3385 & 0.367974 \tabularnewline
10 & -0.03486 & -0.2958 & 0.384118 \tabularnewline
11 & -0.039086 & -0.3317 & 0.370558 \tabularnewline
12 & -0.053665 & -0.4554 & 0.325109 \tabularnewline
13 & -0.055756 & -0.4731 & 0.318786 \tabularnewline
14 & -0.058602 & -0.4973 & 0.310263 \tabularnewline
15 & 0.067822 & 0.5755 & 0.283377 \tabularnewline
16 & -0.034048 & -0.2889 & 0.386742 \tabularnewline
17 & 0.046735 & 0.3966 & 0.346432 \tabularnewline
18 & -0.019567 & -0.166 & 0.434299 \tabularnewline
19 & -0.03981 & -0.3378 & 0.368249 \tabularnewline
20 & -0.015169 & -0.1287 & 0.448971 \tabularnewline
21 & -0.025396 & -0.2155 & 0.414998 \tabularnewline
22 & -0.045468 & -0.3858 & 0.350389 \tabularnewline
23 & -0.048655 & -0.4129 & 0.34047 \tabularnewline
24 & -0.054196 & -0.4599 & 0.323497 \tabularnewline
25 & -0.038305 & -0.325 & 0.373051 \tabularnewline
26 & 0.148112 & 1.2568 & 0.106449 \tabularnewline
27 & -0.053561 & -0.4545 & 0.325426 \tabularnewline
28 & 0.006897 & 0.0585 & 0.476748 \tabularnewline
29 & 0.012545 & 0.1064 & 0.457763 \tabularnewline
30 & -0.058908 & -0.4998 & 0.309353 \tabularnewline
31 & 0.005908 & 0.0501 & 0.480077 \tabularnewline
32 & -0.083349 & -0.7072 & 0.24085 \tabularnewline
33 & 0.028231 & 0.2395 & 0.405682 \tabularnewline
34 & -0.087412 & -0.7417 & 0.230336 \tabularnewline
35 & -0.065376 & -0.5547 & 0.290398 \tabularnewline
36 & 0.001861 & 0.0158 & 0.493721 \tabularnewline
37 & -0.060845 & -0.5163 & 0.303617 \tabularnewline
38 & -0.021415 & -0.1817 & 0.42816 \tabularnewline
39 & -0.047206 & -0.4006 & 0.344966 \tabularnewline
40 & -0.012875 & -0.1092 & 0.456656 \tabularnewline
41 & 0.042826 & 0.3634 & 0.358689 \tabularnewline
42 & -0.004238 & -0.036 & 0.485705 \tabularnewline
43 & -0.073016 & -0.6196 & 0.268752 \tabularnewline
44 & -0.020866 & -0.1771 & 0.429982 \tabularnewline
45 & -0.042216 & -0.3582 & 0.360615 \tabularnewline
46 & -0.019303 & -0.1638 & 0.435178 \tabularnewline
47 & -0.016314 & -0.1384 & 0.445145 \tabularnewline
48 & 0.135709 & 1.1515 & 0.126662 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29450&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]0.955677[/C][C]8.1092[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.02482[/C][C]-0.2106[/C][C]0.416896[/C][/ROW]
[ROW][C]3[/C][C]-0.048828[/C][C]-0.4143[/C][C]0.339935[/C][/ROW]
[ROW][C]4[/C][C]0.083635[/C][C]0.7097[/C][C]0.240102[/C][/ROW]
[ROW][C]5[/C][C]-0.019653[/C][C]-0.1668[/C][C]0.434012[/C][/ROW]
[ROW][C]6[/C][C]-0.008104[/C][C]-0.0688[/C][C]0.472685[/C][/ROW]
[ROW][C]7[/C][C]-0.017616[/C][C]-0.1495[/C][C]0.440798[/C][/ROW]
[ROW][C]8[/C][C]-0.061506[/C][C]-0.5219[/C][C]0.301673[/C][/ROW]
[ROW][C]9[/C][C]-0.039896[/C][C]-0.3385[/C][C]0.367974[/C][/ROW]
[ROW][C]10[/C][C]-0.03486[/C][C]-0.2958[/C][C]0.384118[/C][/ROW]
[ROW][C]11[/C][C]-0.039086[/C][C]-0.3317[/C][C]0.370558[/C][/ROW]
[ROW][C]12[/C][C]-0.053665[/C][C]-0.4554[/C][C]0.325109[/C][/ROW]
[ROW][C]13[/C][C]-0.055756[/C][C]-0.4731[/C][C]0.318786[/C][/ROW]
[ROW][C]14[/C][C]-0.058602[/C][C]-0.4973[/C][C]0.310263[/C][/ROW]
[ROW][C]15[/C][C]0.067822[/C][C]0.5755[/C][C]0.283377[/C][/ROW]
[ROW][C]16[/C][C]-0.034048[/C][C]-0.2889[/C][C]0.386742[/C][/ROW]
[ROW][C]17[/C][C]0.046735[/C][C]0.3966[/C][C]0.346432[/C][/ROW]
[ROW][C]18[/C][C]-0.019567[/C][C]-0.166[/C][C]0.434299[/C][/ROW]
[ROW][C]19[/C][C]-0.03981[/C][C]-0.3378[/C][C]0.368249[/C][/ROW]
[ROW][C]20[/C][C]-0.015169[/C][C]-0.1287[/C][C]0.448971[/C][/ROW]
[ROW][C]21[/C][C]-0.025396[/C][C]-0.2155[/C][C]0.414998[/C][/ROW]
[ROW][C]22[/C][C]-0.045468[/C][C]-0.3858[/C][C]0.350389[/C][/ROW]
[ROW][C]23[/C][C]-0.048655[/C][C]-0.4129[/C][C]0.34047[/C][/ROW]
[ROW][C]24[/C][C]-0.054196[/C][C]-0.4599[/C][C]0.323497[/C][/ROW]
[ROW][C]25[/C][C]-0.038305[/C][C]-0.325[/C][C]0.373051[/C][/ROW]
[ROW][C]26[/C][C]0.148112[/C][C]1.2568[/C][C]0.106449[/C][/ROW]
[ROW][C]27[/C][C]-0.053561[/C][C]-0.4545[/C][C]0.325426[/C][/ROW]
[ROW][C]28[/C][C]0.006897[/C][C]0.0585[/C][C]0.476748[/C][/ROW]
[ROW][C]29[/C][C]0.012545[/C][C]0.1064[/C][C]0.457763[/C][/ROW]
[ROW][C]30[/C][C]-0.058908[/C][C]-0.4998[/C][C]0.309353[/C][/ROW]
[ROW][C]31[/C][C]0.005908[/C][C]0.0501[/C][C]0.480077[/C][/ROW]
[ROW][C]32[/C][C]-0.083349[/C][C]-0.7072[/C][C]0.24085[/C][/ROW]
[ROW][C]33[/C][C]0.028231[/C][C]0.2395[/C][C]0.405682[/C][/ROW]
[ROW][C]34[/C][C]-0.087412[/C][C]-0.7417[/C][C]0.230336[/C][/ROW]
[ROW][C]35[/C][C]-0.065376[/C][C]-0.5547[/C][C]0.290398[/C][/ROW]
[ROW][C]36[/C][C]0.001861[/C][C]0.0158[/C][C]0.493721[/C][/ROW]
[ROW][C]37[/C][C]-0.060845[/C][C]-0.5163[/C][C]0.303617[/C][/ROW]
[ROW][C]38[/C][C]-0.021415[/C][C]-0.1817[/C][C]0.42816[/C][/ROW]
[ROW][C]39[/C][C]-0.047206[/C][C]-0.4006[/C][C]0.344966[/C][/ROW]
[ROW][C]40[/C][C]-0.012875[/C][C]-0.1092[/C][C]0.456656[/C][/ROW]
[ROW][C]41[/C][C]0.042826[/C][C]0.3634[/C][C]0.358689[/C][/ROW]
[ROW][C]42[/C][C]-0.004238[/C][C]-0.036[/C][C]0.485705[/C][/ROW]
[ROW][C]43[/C][C]-0.073016[/C][C]-0.6196[/C][C]0.268752[/C][/ROW]
[ROW][C]44[/C][C]-0.020866[/C][C]-0.1771[/C][C]0.429982[/C][/ROW]
[ROW][C]45[/C][C]-0.042216[/C][C]-0.3582[/C][C]0.360615[/C][/ROW]
[ROW][C]46[/C][C]-0.019303[/C][C]-0.1638[/C][C]0.435178[/C][/ROW]
[ROW][C]47[/C][C]-0.016314[/C][C]-0.1384[/C][C]0.445145[/C][/ROW]
[ROW][C]48[/C][C]0.135709[/C][C]1.1515[/C][C]0.126662[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29450&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29450&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
10.9556778.10920
2-0.02482-0.21060.416896
3-0.048828-0.41430.339935
40.0836350.70970.240102
5-0.019653-0.16680.434012
6-0.008104-0.06880.472685
7-0.017616-0.14950.440798
8-0.061506-0.52190.301673
9-0.039896-0.33850.367974
10-0.03486-0.29580.384118
11-0.039086-0.33170.370558
12-0.053665-0.45540.325109
13-0.055756-0.47310.318786
14-0.058602-0.49730.310263
150.0678220.57550.283377
16-0.034048-0.28890.386742
170.0467350.39660.346432
18-0.019567-0.1660.434299
19-0.03981-0.33780.368249
20-0.015169-0.12870.448971
21-0.025396-0.21550.414998
22-0.045468-0.38580.350389
23-0.048655-0.41290.34047
24-0.054196-0.45990.323497
25-0.038305-0.3250.373051
260.1481121.25680.106449
27-0.053561-0.45450.325426
280.0068970.05850.476748
290.0125450.10640.457763
30-0.058908-0.49980.309353
310.0059080.05010.480077
32-0.083349-0.70720.24085
330.0282310.23950.405682
34-0.087412-0.74170.230336
35-0.065376-0.55470.290398
360.0018610.01580.493721
37-0.060845-0.51630.303617
38-0.021415-0.18170.42816
39-0.047206-0.40060.344966
40-0.012875-0.10920.456656
410.0428260.36340.358689
42-0.004238-0.0360.485705
43-0.073016-0.61960.268752
44-0.020866-0.17710.429982
45-0.042216-0.35820.360615
46-0.019303-0.16380.435178
47-0.016314-0.13840.445145
480.1357091.15150.126662



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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 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')