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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 06 Dec 2007 08:45:56 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/06/t1196955266kjft48tzncs8q9z.htm/, Retrieved Fri, 03 May 2024 12:00:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2667, Retrieved Fri, 03 May 2024 12:00:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Q2] [2007-12-06 15:45:56] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
3.926
3.517
4.142
4.353
5.029
4.755
3.862
4.406
4.567
4.863
4.121
3.626
3.804
3.491
4.151
4.254
4.717
4.866
4.001
3.758
4.78
5.016
4.296
4.467
3.891
3.872
3.867
3.973
4.64
4.538
3.836
3.77
4.374
4.497
3.945
3.862
3.608
3.301
3.882
3.605
4.305
4.216
3.971
3.988
4.317
4.484
4.247
3.52
3.687
3.405
3.99
4.047
4.549
4.559
3.926
4.206
4.517
4.387
3.219
3.129




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2667&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2667&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2667&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
1-0.490556-3.36310.99923
20.0413570.28350.389007
30.0994050.68150.249453
4-0.1563-1.07150.855301
50.1056620.72440.236211
6-0.088792-0.60870.727182
7-0.015336-0.10510.541643
80.1730291.18620.120747
9-0.200536-1.37480.912145
100.0456980.31330.377724
110.1499071.02770.154673
12-0.281481-1.92970.970156
130.1908791.30860.098517
14-0.059214-0.4060.656689
150.0637820.43730.331959
16-0.17905-1.22750.887127
170.0387870.26590.395736
180.0838020.57450.28418
19-0.069089-0.47370.68103
20-0.054232-0.37180.644143
210.1656461.13560.130939
22-0.135923-0.93180.821909
230.1336630.91630.182082
24-0.193566-1.3270.904544
250.1411010.96730.169163
260.0762950.52310.301698
27-0.257544-1.76560.958023
280.2364521.6210.055851
29-0.048445-0.33210.629364
30-0.040197-0.27560.607959
310.0593730.4070.342913
320.0397390.27240.393239
33-0.035711-0.24480.59617
340.0496870.34060.367447
35-0.097731-0.670.746934
360.0345710.2370.406842
37-0.045278-0.31040.621189
38-0.057046-0.39110.65125
390.1761811.20780.116577
40-0.09832-0.6740.748209
41-0.048772-0.33440.630204
420.074870.51330.30508
43-0.007387-0.05060.520088
44-0.019011-0.13030.55157
45-0.009709-0.06660.526394
460.0093420.0640.474602
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.490556 & -3.3631 & 0.99923 \tabularnewline
2 & 0.041357 & 0.2835 & 0.389007 \tabularnewline
3 & 0.099405 & 0.6815 & 0.249453 \tabularnewline
4 & -0.1563 & -1.0715 & 0.855301 \tabularnewline
5 & 0.105662 & 0.7244 & 0.236211 \tabularnewline
6 & -0.088792 & -0.6087 & 0.727182 \tabularnewline
7 & -0.015336 & -0.1051 & 0.541643 \tabularnewline
8 & 0.173029 & 1.1862 & 0.120747 \tabularnewline
9 & -0.200536 & -1.3748 & 0.912145 \tabularnewline
10 & 0.045698 & 0.3133 & 0.377724 \tabularnewline
11 & 0.149907 & 1.0277 & 0.154673 \tabularnewline
12 & -0.281481 & -1.9297 & 0.970156 \tabularnewline
13 & 0.190879 & 1.3086 & 0.098517 \tabularnewline
14 & -0.059214 & -0.406 & 0.656689 \tabularnewline
15 & 0.063782 & 0.4373 & 0.331959 \tabularnewline
16 & -0.17905 & -1.2275 & 0.887127 \tabularnewline
17 & 0.038787 & 0.2659 & 0.395736 \tabularnewline
18 & 0.083802 & 0.5745 & 0.28418 \tabularnewline
19 & -0.069089 & -0.4737 & 0.68103 \tabularnewline
20 & -0.054232 & -0.3718 & 0.644143 \tabularnewline
21 & 0.165646 & 1.1356 & 0.130939 \tabularnewline
22 & -0.135923 & -0.9318 & 0.821909 \tabularnewline
23 & 0.133663 & 0.9163 & 0.182082 \tabularnewline
24 & -0.193566 & -1.327 & 0.904544 \tabularnewline
25 & 0.141101 & 0.9673 & 0.169163 \tabularnewline
26 & 0.076295 & 0.5231 & 0.301698 \tabularnewline
27 & -0.257544 & -1.7656 & 0.958023 \tabularnewline
28 & 0.236452 & 1.621 & 0.055851 \tabularnewline
29 & -0.048445 & -0.3321 & 0.629364 \tabularnewline
30 & -0.040197 & -0.2756 & 0.607959 \tabularnewline
31 & 0.059373 & 0.407 & 0.342913 \tabularnewline
32 & 0.039739 & 0.2724 & 0.393239 \tabularnewline
33 & -0.035711 & -0.2448 & 0.59617 \tabularnewline
34 & 0.049687 & 0.3406 & 0.367447 \tabularnewline
35 & -0.097731 & -0.67 & 0.746934 \tabularnewline
36 & 0.034571 & 0.237 & 0.406842 \tabularnewline
37 & -0.045278 & -0.3104 & 0.621189 \tabularnewline
38 & -0.057046 & -0.3911 & 0.65125 \tabularnewline
39 & 0.176181 & 1.2078 & 0.116577 \tabularnewline
40 & -0.09832 & -0.674 & 0.748209 \tabularnewline
41 & -0.048772 & -0.3344 & 0.630204 \tabularnewline
42 & 0.07487 & 0.5133 & 0.30508 \tabularnewline
43 & -0.007387 & -0.0506 & 0.520088 \tabularnewline
44 & -0.019011 & -0.1303 & 0.55157 \tabularnewline
45 & -0.009709 & -0.0666 & 0.526394 \tabularnewline
46 & 0.009342 & 0.064 & 0.474602 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2667&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.490556[/C][C]-3.3631[/C][C]0.99923[/C][/ROW]
[ROW][C]2[/C][C]0.041357[/C][C]0.2835[/C][C]0.389007[/C][/ROW]
[ROW][C]3[/C][C]0.099405[/C][C]0.6815[/C][C]0.249453[/C][/ROW]
[ROW][C]4[/C][C]-0.1563[/C][C]-1.0715[/C][C]0.855301[/C][/ROW]
[ROW][C]5[/C][C]0.105662[/C][C]0.7244[/C][C]0.236211[/C][/ROW]
[ROW][C]6[/C][C]-0.088792[/C][C]-0.6087[/C][C]0.727182[/C][/ROW]
[ROW][C]7[/C][C]-0.015336[/C][C]-0.1051[/C][C]0.541643[/C][/ROW]
[ROW][C]8[/C][C]0.173029[/C][C]1.1862[/C][C]0.120747[/C][/ROW]
[ROW][C]9[/C][C]-0.200536[/C][C]-1.3748[/C][C]0.912145[/C][/ROW]
[ROW][C]10[/C][C]0.045698[/C][C]0.3133[/C][C]0.377724[/C][/ROW]
[ROW][C]11[/C][C]0.149907[/C][C]1.0277[/C][C]0.154673[/C][/ROW]
[ROW][C]12[/C][C]-0.281481[/C][C]-1.9297[/C][C]0.970156[/C][/ROW]
[ROW][C]13[/C][C]0.190879[/C][C]1.3086[/C][C]0.098517[/C][/ROW]
[ROW][C]14[/C][C]-0.059214[/C][C]-0.406[/C][C]0.656689[/C][/ROW]
[ROW][C]15[/C][C]0.063782[/C][C]0.4373[/C][C]0.331959[/C][/ROW]
[ROW][C]16[/C][C]-0.17905[/C][C]-1.2275[/C][C]0.887127[/C][/ROW]
[ROW][C]17[/C][C]0.038787[/C][C]0.2659[/C][C]0.395736[/C][/ROW]
[ROW][C]18[/C][C]0.083802[/C][C]0.5745[/C][C]0.28418[/C][/ROW]
[ROW][C]19[/C][C]-0.069089[/C][C]-0.4737[/C][C]0.68103[/C][/ROW]
[ROW][C]20[/C][C]-0.054232[/C][C]-0.3718[/C][C]0.644143[/C][/ROW]
[ROW][C]21[/C][C]0.165646[/C][C]1.1356[/C][C]0.130939[/C][/ROW]
[ROW][C]22[/C][C]-0.135923[/C][C]-0.9318[/C][C]0.821909[/C][/ROW]
[ROW][C]23[/C][C]0.133663[/C][C]0.9163[/C][C]0.182082[/C][/ROW]
[ROW][C]24[/C][C]-0.193566[/C][C]-1.327[/C][C]0.904544[/C][/ROW]
[ROW][C]25[/C][C]0.141101[/C][C]0.9673[/C][C]0.169163[/C][/ROW]
[ROW][C]26[/C][C]0.076295[/C][C]0.5231[/C][C]0.301698[/C][/ROW]
[ROW][C]27[/C][C]-0.257544[/C][C]-1.7656[/C][C]0.958023[/C][/ROW]
[ROW][C]28[/C][C]0.236452[/C][C]1.621[/C][C]0.055851[/C][/ROW]
[ROW][C]29[/C][C]-0.048445[/C][C]-0.3321[/C][C]0.629364[/C][/ROW]
[ROW][C]30[/C][C]-0.040197[/C][C]-0.2756[/C][C]0.607959[/C][/ROW]
[ROW][C]31[/C][C]0.059373[/C][C]0.407[/C][C]0.342913[/C][/ROW]
[ROW][C]32[/C][C]0.039739[/C][C]0.2724[/C][C]0.393239[/C][/ROW]
[ROW][C]33[/C][C]-0.035711[/C][C]-0.2448[/C][C]0.59617[/C][/ROW]
[ROW][C]34[/C][C]0.049687[/C][C]0.3406[/C][C]0.367447[/C][/ROW]
[ROW][C]35[/C][C]-0.097731[/C][C]-0.67[/C][C]0.746934[/C][/ROW]
[ROW][C]36[/C][C]0.034571[/C][C]0.237[/C][C]0.406842[/C][/ROW]
[ROW][C]37[/C][C]-0.045278[/C][C]-0.3104[/C][C]0.621189[/C][/ROW]
[ROW][C]38[/C][C]-0.057046[/C][C]-0.3911[/C][C]0.65125[/C][/ROW]
[ROW][C]39[/C][C]0.176181[/C][C]1.2078[/C][C]0.116577[/C][/ROW]
[ROW][C]40[/C][C]-0.09832[/C][C]-0.674[/C][C]0.748209[/C][/ROW]
[ROW][C]41[/C][C]-0.048772[/C][C]-0.3344[/C][C]0.630204[/C][/ROW]
[ROW][C]42[/C][C]0.07487[/C][C]0.5133[/C][C]0.30508[/C][/ROW]
[ROW][C]43[/C][C]-0.007387[/C][C]-0.0506[/C][C]0.520088[/C][/ROW]
[ROW][C]44[/C][C]-0.019011[/C][C]-0.1303[/C][C]0.55157[/C][/ROW]
[ROW][C]45[/C][C]-0.009709[/C][C]-0.0666[/C][C]0.526394[/C][/ROW]
[ROW][C]46[/C][C]0.009342[/C][C]0.064[/C][C]0.474602[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2667&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2667&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
016.85570
1-0.490556-3.36310.99923
20.0413570.28350.389007
30.0994050.68150.249453
4-0.1563-1.07150.855301
50.1056620.72440.236211
6-0.088792-0.60870.727182
7-0.015336-0.10510.541643
80.1730291.18620.120747
9-0.200536-1.37480.912145
100.0456980.31330.377724
110.1499071.02770.154673
12-0.281481-1.92970.970156
130.1908791.30860.098517
14-0.059214-0.4060.656689
150.0637820.43730.331959
16-0.17905-1.22750.887127
170.0387870.26590.395736
180.0838020.57450.28418
19-0.069089-0.47370.68103
20-0.054232-0.37180.644143
210.1656461.13560.130939
22-0.135923-0.93180.821909
230.1336630.91630.182082
24-0.193566-1.3270.904544
250.1411010.96730.169163
260.0762950.52310.301698
27-0.257544-1.76560.958023
280.2364521.6210.055851
29-0.048445-0.33210.629364
30-0.040197-0.27560.607959
310.0593730.4070.342913
320.0397390.27240.393239
33-0.035711-0.24480.59617
340.0496870.34060.367447
35-0.097731-0.670.746934
360.0345710.2370.406842
37-0.045278-0.31040.621189
38-0.057046-0.39110.65125
390.1761811.20780.116577
40-0.09832-0.6740.748209
41-0.048772-0.33440.630204
420.074870.51330.30508
43-0.007387-0.05060.520088
44-0.019011-0.13030.55157
45-0.009709-0.06660.526394
460.0093420.0640.474602
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.490556-3.36310.99923
1-0.262444-1.79920.960798
2-0.005269-0.03610.514332
3-0.121914-0.83580.796251
4-0.02624-0.17990.570994
5-0.097783-0.67040.747048
6-0.117199-0.80350.787127
70.1188220.81460.209704
8-0.050061-0.34320.633511
9-0.109598-0.75140.771911
100.1152150.78990.216784
11-0.159527-1.09370.860161
12-0.058711-0.40250.655431
13-0.020215-0.13860.554815
140.1070560.73390.233315
15-0.265003-1.81680.962184
16-0.165314-1.13330.868589
17-0.046671-0.320.624792
18-0.075667-0.51870.696814
19-0.145352-0.99650.83794
200.0341450.23410.407968
21-0.130467-0.89440.812177
220.0909270.62340.268029
23-0.197537-1.35420.908933
24-0.03735-0.25610.600488
250.06990.47920.317005
26-0.108997-0.74720.770682
27-0.141821-0.97230.832054
280.0110990.07610.469835
290.0397010.27220.393339
30-0.039117-0.26820.605129
310.0668320.45820.32447
320.0622870.4270.335659
330.0227980.15630.438234
340.0892340.61180.271824
35-0.214903-1.47330.926332
36-0.065807-0.45120.673022
37-0.069905-0.47920.683007
380.0632360.43350.333309
39-0.092731-0.63570.735984
40-0.038527-0.26410.603583
410.0053640.03680.485412
42-0.01123-0.0770.530519
430.0039720.02720.489197
440.0786750.53940.29609
45-0.012353-0.08470.533565
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.490556 & -3.3631 & 0.99923 \tabularnewline
1 & -0.262444 & -1.7992 & 0.960798 \tabularnewline
2 & -0.005269 & -0.0361 & 0.514332 \tabularnewline
3 & -0.121914 & -0.8358 & 0.796251 \tabularnewline
4 & -0.02624 & -0.1799 & 0.570994 \tabularnewline
5 & -0.097783 & -0.6704 & 0.747048 \tabularnewline
6 & -0.117199 & -0.8035 & 0.787127 \tabularnewline
7 & 0.118822 & 0.8146 & 0.209704 \tabularnewline
8 & -0.050061 & -0.3432 & 0.633511 \tabularnewline
9 & -0.109598 & -0.7514 & 0.771911 \tabularnewline
10 & 0.115215 & 0.7899 & 0.216784 \tabularnewline
11 & -0.159527 & -1.0937 & 0.860161 \tabularnewline
12 & -0.058711 & -0.4025 & 0.655431 \tabularnewline
13 & -0.020215 & -0.1386 & 0.554815 \tabularnewline
14 & 0.107056 & 0.7339 & 0.233315 \tabularnewline
15 & -0.265003 & -1.8168 & 0.962184 \tabularnewline
16 & -0.165314 & -1.1333 & 0.868589 \tabularnewline
17 & -0.046671 & -0.32 & 0.624792 \tabularnewline
18 & -0.075667 & -0.5187 & 0.696814 \tabularnewline
19 & -0.145352 & -0.9965 & 0.83794 \tabularnewline
20 & 0.034145 & 0.2341 & 0.407968 \tabularnewline
21 & -0.130467 & -0.8944 & 0.812177 \tabularnewline
22 & 0.090927 & 0.6234 & 0.268029 \tabularnewline
23 & -0.197537 & -1.3542 & 0.908933 \tabularnewline
24 & -0.03735 & -0.2561 & 0.600488 \tabularnewline
25 & 0.0699 & 0.4792 & 0.317005 \tabularnewline
26 & -0.108997 & -0.7472 & 0.770682 \tabularnewline
27 & -0.141821 & -0.9723 & 0.832054 \tabularnewline
28 & 0.011099 & 0.0761 & 0.469835 \tabularnewline
29 & 0.039701 & 0.2722 & 0.393339 \tabularnewline
30 & -0.039117 & -0.2682 & 0.605129 \tabularnewline
31 & 0.066832 & 0.4582 & 0.32447 \tabularnewline
32 & 0.062287 & 0.427 & 0.335659 \tabularnewline
33 & 0.022798 & 0.1563 & 0.438234 \tabularnewline
34 & 0.089234 & 0.6118 & 0.271824 \tabularnewline
35 & -0.214903 & -1.4733 & 0.926332 \tabularnewline
36 & -0.065807 & -0.4512 & 0.673022 \tabularnewline
37 & -0.069905 & -0.4792 & 0.683007 \tabularnewline
38 & 0.063236 & 0.4335 & 0.333309 \tabularnewline
39 & -0.092731 & -0.6357 & 0.735984 \tabularnewline
40 & -0.038527 & -0.2641 & 0.603583 \tabularnewline
41 & 0.005364 & 0.0368 & 0.485412 \tabularnewline
42 & -0.01123 & -0.077 & 0.530519 \tabularnewline
43 & 0.003972 & 0.0272 & 0.489197 \tabularnewline
44 & 0.078675 & 0.5394 & 0.29609 \tabularnewline
45 & -0.012353 & -0.0847 & 0.533565 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2667&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]-0.490556[/C][C]-3.3631[/C][C]0.99923[/C][/ROW]
[ROW][C]1[/C][C]-0.262444[/C][C]-1.7992[/C][C]0.960798[/C][/ROW]
[ROW][C]2[/C][C]-0.005269[/C][C]-0.0361[/C][C]0.514332[/C][/ROW]
[ROW][C]3[/C][C]-0.121914[/C][C]-0.8358[/C][C]0.796251[/C][/ROW]
[ROW][C]4[/C][C]-0.02624[/C][C]-0.1799[/C][C]0.570994[/C][/ROW]
[ROW][C]5[/C][C]-0.097783[/C][C]-0.6704[/C][C]0.747048[/C][/ROW]
[ROW][C]6[/C][C]-0.117199[/C][C]-0.8035[/C][C]0.787127[/C][/ROW]
[ROW][C]7[/C][C]0.118822[/C][C]0.8146[/C][C]0.209704[/C][/ROW]
[ROW][C]8[/C][C]-0.050061[/C][C]-0.3432[/C][C]0.633511[/C][/ROW]
[ROW][C]9[/C][C]-0.109598[/C][C]-0.7514[/C][C]0.771911[/C][/ROW]
[ROW][C]10[/C][C]0.115215[/C][C]0.7899[/C][C]0.216784[/C][/ROW]
[ROW][C]11[/C][C]-0.159527[/C][C]-1.0937[/C][C]0.860161[/C][/ROW]
[ROW][C]12[/C][C]-0.058711[/C][C]-0.4025[/C][C]0.655431[/C][/ROW]
[ROW][C]13[/C][C]-0.020215[/C][C]-0.1386[/C][C]0.554815[/C][/ROW]
[ROW][C]14[/C][C]0.107056[/C][C]0.7339[/C][C]0.233315[/C][/ROW]
[ROW][C]15[/C][C]-0.265003[/C][C]-1.8168[/C][C]0.962184[/C][/ROW]
[ROW][C]16[/C][C]-0.165314[/C][C]-1.1333[/C][C]0.868589[/C][/ROW]
[ROW][C]17[/C][C]-0.046671[/C][C]-0.32[/C][C]0.624792[/C][/ROW]
[ROW][C]18[/C][C]-0.075667[/C][C]-0.5187[/C][C]0.696814[/C][/ROW]
[ROW][C]19[/C][C]-0.145352[/C][C]-0.9965[/C][C]0.83794[/C][/ROW]
[ROW][C]20[/C][C]0.034145[/C][C]0.2341[/C][C]0.407968[/C][/ROW]
[ROW][C]21[/C][C]-0.130467[/C][C]-0.8944[/C][C]0.812177[/C][/ROW]
[ROW][C]22[/C][C]0.090927[/C][C]0.6234[/C][C]0.268029[/C][/ROW]
[ROW][C]23[/C][C]-0.197537[/C][C]-1.3542[/C][C]0.908933[/C][/ROW]
[ROW][C]24[/C][C]-0.03735[/C][C]-0.2561[/C][C]0.600488[/C][/ROW]
[ROW][C]25[/C][C]0.0699[/C][C]0.4792[/C][C]0.317005[/C][/ROW]
[ROW][C]26[/C][C]-0.108997[/C][C]-0.7472[/C][C]0.770682[/C][/ROW]
[ROW][C]27[/C][C]-0.141821[/C][C]-0.9723[/C][C]0.832054[/C][/ROW]
[ROW][C]28[/C][C]0.011099[/C][C]0.0761[/C][C]0.469835[/C][/ROW]
[ROW][C]29[/C][C]0.039701[/C][C]0.2722[/C][C]0.393339[/C][/ROW]
[ROW][C]30[/C][C]-0.039117[/C][C]-0.2682[/C][C]0.605129[/C][/ROW]
[ROW][C]31[/C][C]0.066832[/C][C]0.4582[/C][C]0.32447[/C][/ROW]
[ROW][C]32[/C][C]0.062287[/C][C]0.427[/C][C]0.335659[/C][/ROW]
[ROW][C]33[/C][C]0.022798[/C][C]0.1563[/C][C]0.438234[/C][/ROW]
[ROW][C]34[/C][C]0.089234[/C][C]0.6118[/C][C]0.271824[/C][/ROW]
[ROW][C]35[/C][C]-0.214903[/C][C]-1.4733[/C][C]0.926332[/C][/ROW]
[ROW][C]36[/C][C]-0.065807[/C][C]-0.4512[/C][C]0.673022[/C][/ROW]
[ROW][C]37[/C][C]-0.069905[/C][C]-0.4792[/C][C]0.683007[/C][/ROW]
[ROW][C]38[/C][C]0.063236[/C][C]0.4335[/C][C]0.333309[/C][/ROW]
[ROW][C]39[/C][C]-0.092731[/C][C]-0.6357[/C][C]0.735984[/C][/ROW]
[ROW][C]40[/C][C]-0.038527[/C][C]-0.2641[/C][C]0.603583[/C][/ROW]
[ROW][C]41[/C][C]0.005364[/C][C]0.0368[/C][C]0.485412[/C][/ROW]
[ROW][C]42[/C][C]-0.01123[/C][C]-0.077[/C][C]0.530519[/C][/ROW]
[ROW][C]43[/C][C]0.003972[/C][C]0.0272[/C][C]0.489197[/C][/ROW]
[ROW][C]44[/C][C]0.078675[/C][C]0.5394[/C][C]0.29609[/C][/ROW]
[ROW][C]45[/C][C]-0.012353[/C][C]-0.0847[/C][C]0.533565[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2667&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2667&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
0-0.490556-3.36310.99923
1-0.262444-1.79920.960798
2-0.005269-0.03610.514332
3-0.121914-0.83580.796251
4-0.02624-0.17990.570994
5-0.097783-0.67040.747048
6-0.117199-0.80350.787127
70.1188220.81460.209704
8-0.050061-0.34320.633511
9-0.109598-0.75140.771911
100.1152150.78990.216784
11-0.159527-1.09370.860161
12-0.058711-0.40250.655431
13-0.020215-0.13860.554815
140.1070560.73390.233315
15-0.265003-1.81680.962184
16-0.165314-1.13330.868589
17-0.046671-0.320.624792
18-0.075667-0.51870.696814
19-0.145352-0.99650.83794
200.0341450.23410.407968
21-0.130467-0.89440.812177
220.0909270.62340.268029
23-0.197537-1.35420.908933
24-0.03735-0.25610.600488
250.06990.47920.317005
26-0.108997-0.74720.770682
27-0.141821-0.97230.832054
280.0110990.07610.469835
290.0397010.27220.393339
30-0.039117-0.26820.605129
310.0668320.45820.32447
320.0622870.4270.335659
330.0227980.15630.438234
340.0892340.61180.271824
35-0.214903-1.47330.926332
36-0.065807-0.45120.673022
37-0.069905-0.47920.683007
380.0632360.43350.333309
39-0.092731-0.63570.735984
40-0.038527-0.26410.603583
410.0053640.03680.485412
42-0.01123-0.0770.530519
430.0039720.02720.489197
440.0786750.53940.29609
45-0.012353-0.08470.533565
46NANANA
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')