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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 22 Jan 2010 04:41:05 -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/2010/Jan/22/t1264160522xzdjigb6ajit2cb.htm/, Retrieved Thu, 02 May 2024 10:48:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72349, Retrieved Thu, 02 May 2024 10:48:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [opgave 6 bis_gebo...] [2008-12-10 21:19:20] [e4a15d75e135371934c77b6a0dd48476]
- RMPD    [(Partial) Autocorrelation Function] [] [2010-01-22 11:41:05] [32a63dbffc7be1ee879fd4b0dabe8489] [Current]
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Dataseries X:
6550
8728
12026
14395
14587
13791
9498
8251
7049
9545
9364
8456
7237
9374
11837
13784
15926
13821
11143
7975
7610
1015
12759
8816
10677
10947
15200
17010
20900
16205
12143
8997
5568
11474
12256
10583
10862
10965
14405
20379
20128
17816
12268
8642
7962
13932
15936
12628
12267
12470
18944
21259
22015
18581
15175
10306
10792
14752
13754
11738
12181
12965
19990
23125
23541
21247
15189
14767
10895
17130
17697
16611
12674
12760
20249
22135
20677
19933
15388
15113
13401
16135
17562
14720
12225
11608
20985
19692
24081
22114
14220
13434
13598
17187
16119
13713
13210
14251
20139
21725
26099
21084
18024
16722
14385
21342
17180
14577




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=72349&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=72349&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72349&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
10.0498950.51610.303417
2-0.042043-0.43490.332255
3-0.394999-4.08594.3e-05
4-0.26648-2.75650.003435
50.1020551.05570.14675
60.1677581.73530.042783
70.0631220.65290.257597
8-0.287747-2.97650.001803
9-0.315404-3.26260.000741
10-0.156364-1.61740.054364
110.3274293.3870.000495
120.5662745.85760
130.1899161.96450.026032
14-0.08597-0.88930.187923
15-0.319407-3.3040.000649
16-0.286157-2.960.001894
170.2281122.35960.010054
180.025290.26160.397065
190.1254521.29770.098594
20-0.31617-3.27050.000722
21-0.280808-2.90470.002233
22-0.096679-1.00010.15977
230.3063363.16880.000998
240.4878815.04671e-06
250.120071.2420.108473
26-0.018772-0.19420.423203
27-0.349536-3.61560.000229
28-0.131982-1.36520.087522
290.1049121.08520.140132
300.0979731.01340.156567
310.0395210.40880.341747
32-0.222562-2.30220.01163
33-0.328067-3.39350.000484
34-0.014071-0.14550.442276
350.2305472.38480.009424
360.4255274.40171.3e-05
370.1067651.10440.135951
38-0.03231-0.33420.369433
39-0.280184-2.89820.002276
40-0.097746-1.01110.157126
410.107341.11030.134672
420.0470330.48650.313799
430.0704520.72880.233868
44-0.254135-2.62880.004915
45-0.19644-2.0320.022316
46-0.077243-0.7990.213027
470.2572822.66130.004491
480.2758372.85330.002598

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.049895 & 0.5161 & 0.303417 \tabularnewline
2 & -0.042043 & -0.4349 & 0.332255 \tabularnewline
3 & -0.394999 & -4.0859 & 4.3e-05 \tabularnewline
4 & -0.26648 & -2.7565 & 0.003435 \tabularnewline
5 & 0.102055 & 1.0557 & 0.14675 \tabularnewline
6 & 0.167758 & 1.7353 & 0.042783 \tabularnewline
7 & 0.063122 & 0.6529 & 0.257597 \tabularnewline
8 & -0.287747 & -2.9765 & 0.001803 \tabularnewline
9 & -0.315404 & -3.2626 & 0.000741 \tabularnewline
10 & -0.156364 & -1.6174 & 0.054364 \tabularnewline
11 & 0.327429 & 3.387 & 0.000495 \tabularnewline
12 & 0.566274 & 5.8576 & 0 \tabularnewline
13 & 0.189916 & 1.9645 & 0.026032 \tabularnewline
14 & -0.08597 & -0.8893 & 0.187923 \tabularnewline
15 & -0.319407 & -3.304 & 0.000649 \tabularnewline
16 & -0.286157 & -2.96 & 0.001894 \tabularnewline
17 & 0.228112 & 2.3596 & 0.010054 \tabularnewline
18 & 0.02529 & 0.2616 & 0.397065 \tabularnewline
19 & 0.125452 & 1.2977 & 0.098594 \tabularnewline
20 & -0.31617 & -3.2705 & 0.000722 \tabularnewline
21 & -0.280808 & -2.9047 & 0.002233 \tabularnewline
22 & -0.096679 & -1.0001 & 0.15977 \tabularnewline
23 & 0.306336 & 3.1688 & 0.000998 \tabularnewline
24 & 0.487881 & 5.0467 & 1e-06 \tabularnewline
25 & 0.12007 & 1.242 & 0.108473 \tabularnewline
26 & -0.018772 & -0.1942 & 0.423203 \tabularnewline
27 & -0.349536 & -3.6156 & 0.000229 \tabularnewline
28 & -0.131982 & -1.3652 & 0.087522 \tabularnewline
29 & 0.104912 & 1.0852 & 0.140132 \tabularnewline
30 & 0.097973 & 1.0134 & 0.156567 \tabularnewline
31 & 0.039521 & 0.4088 & 0.341747 \tabularnewline
32 & -0.222562 & -2.3022 & 0.01163 \tabularnewline
33 & -0.328067 & -3.3935 & 0.000484 \tabularnewline
34 & -0.014071 & -0.1455 & 0.442276 \tabularnewline
35 & 0.230547 & 2.3848 & 0.009424 \tabularnewline
36 & 0.425527 & 4.4017 & 1.3e-05 \tabularnewline
37 & 0.106765 & 1.1044 & 0.135951 \tabularnewline
38 & -0.03231 & -0.3342 & 0.369433 \tabularnewline
39 & -0.280184 & -2.8982 & 0.002276 \tabularnewline
40 & -0.097746 & -1.0111 & 0.157126 \tabularnewline
41 & 0.10734 & 1.1103 & 0.134672 \tabularnewline
42 & 0.047033 & 0.4865 & 0.313799 \tabularnewline
43 & 0.070452 & 0.7288 & 0.233868 \tabularnewline
44 & -0.254135 & -2.6288 & 0.004915 \tabularnewline
45 & -0.19644 & -2.032 & 0.022316 \tabularnewline
46 & -0.077243 & -0.799 & 0.213027 \tabularnewline
47 & 0.257282 & 2.6613 & 0.004491 \tabularnewline
48 & 0.275837 & 2.8533 & 0.002598 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72349&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]0.049895[/C][C]0.5161[/C][C]0.303417[/C][/ROW]
[ROW][C]2[/C][C]-0.042043[/C][C]-0.4349[/C][C]0.332255[/C][/ROW]
[ROW][C]3[/C][C]-0.394999[/C][C]-4.0859[/C][C]4.3e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.26648[/C][C]-2.7565[/C][C]0.003435[/C][/ROW]
[ROW][C]5[/C][C]0.102055[/C][C]1.0557[/C][C]0.14675[/C][/ROW]
[ROW][C]6[/C][C]0.167758[/C][C]1.7353[/C][C]0.042783[/C][/ROW]
[ROW][C]7[/C][C]0.063122[/C][C]0.6529[/C][C]0.257597[/C][/ROW]
[ROW][C]8[/C][C]-0.287747[/C][C]-2.9765[/C][C]0.001803[/C][/ROW]
[ROW][C]9[/C][C]-0.315404[/C][C]-3.2626[/C][C]0.000741[/C][/ROW]
[ROW][C]10[/C][C]-0.156364[/C][C]-1.6174[/C][C]0.054364[/C][/ROW]
[ROW][C]11[/C][C]0.327429[/C][C]3.387[/C][C]0.000495[/C][/ROW]
[ROW][C]12[/C][C]0.566274[/C][C]5.8576[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.189916[/C][C]1.9645[/C][C]0.026032[/C][/ROW]
[ROW][C]14[/C][C]-0.08597[/C][C]-0.8893[/C][C]0.187923[/C][/ROW]
[ROW][C]15[/C][C]-0.319407[/C][C]-3.304[/C][C]0.000649[/C][/ROW]
[ROW][C]16[/C][C]-0.286157[/C][C]-2.96[/C][C]0.001894[/C][/ROW]
[ROW][C]17[/C][C]0.228112[/C][C]2.3596[/C][C]0.010054[/C][/ROW]
[ROW][C]18[/C][C]0.02529[/C][C]0.2616[/C][C]0.397065[/C][/ROW]
[ROW][C]19[/C][C]0.125452[/C][C]1.2977[/C][C]0.098594[/C][/ROW]
[ROW][C]20[/C][C]-0.31617[/C][C]-3.2705[/C][C]0.000722[/C][/ROW]
[ROW][C]21[/C][C]-0.280808[/C][C]-2.9047[/C][C]0.002233[/C][/ROW]
[ROW][C]22[/C][C]-0.096679[/C][C]-1.0001[/C][C]0.15977[/C][/ROW]
[ROW][C]23[/C][C]0.306336[/C][C]3.1688[/C][C]0.000998[/C][/ROW]
[ROW][C]24[/C][C]0.487881[/C][C]5.0467[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]0.12007[/C][C]1.242[/C][C]0.108473[/C][/ROW]
[ROW][C]26[/C][C]-0.018772[/C][C]-0.1942[/C][C]0.423203[/C][/ROW]
[ROW][C]27[/C][C]-0.349536[/C][C]-3.6156[/C][C]0.000229[/C][/ROW]
[ROW][C]28[/C][C]-0.131982[/C][C]-1.3652[/C][C]0.087522[/C][/ROW]
[ROW][C]29[/C][C]0.104912[/C][C]1.0852[/C][C]0.140132[/C][/ROW]
[ROW][C]30[/C][C]0.097973[/C][C]1.0134[/C][C]0.156567[/C][/ROW]
[ROW][C]31[/C][C]0.039521[/C][C]0.4088[/C][C]0.341747[/C][/ROW]
[ROW][C]32[/C][C]-0.222562[/C][C]-2.3022[/C][C]0.01163[/C][/ROW]
[ROW][C]33[/C][C]-0.328067[/C][C]-3.3935[/C][C]0.000484[/C][/ROW]
[ROW][C]34[/C][C]-0.014071[/C][C]-0.1455[/C][C]0.442276[/C][/ROW]
[ROW][C]35[/C][C]0.230547[/C][C]2.3848[/C][C]0.009424[/C][/ROW]
[ROW][C]36[/C][C]0.425527[/C][C]4.4017[/C][C]1.3e-05[/C][/ROW]
[ROW][C]37[/C][C]0.106765[/C][C]1.1044[/C][C]0.135951[/C][/ROW]
[ROW][C]38[/C][C]-0.03231[/C][C]-0.3342[/C][C]0.369433[/C][/ROW]
[ROW][C]39[/C][C]-0.280184[/C][C]-2.8982[/C][C]0.002276[/C][/ROW]
[ROW][C]40[/C][C]-0.097746[/C][C]-1.0111[/C][C]0.157126[/C][/ROW]
[ROW][C]41[/C][C]0.10734[/C][C]1.1103[/C][C]0.134672[/C][/ROW]
[ROW][C]42[/C][C]0.047033[/C][C]0.4865[/C][C]0.313799[/C][/ROW]
[ROW][C]43[/C][C]0.070452[/C][C]0.7288[/C][C]0.233868[/C][/ROW]
[ROW][C]44[/C][C]-0.254135[/C][C]-2.6288[/C][C]0.004915[/C][/ROW]
[ROW][C]45[/C][C]-0.19644[/C][C]-2.032[/C][C]0.022316[/C][/ROW]
[ROW][C]46[/C][C]-0.077243[/C][C]-0.799[/C][C]0.213027[/C][/ROW]
[ROW][C]47[/C][C]0.257282[/C][C]2.6613[/C][C]0.004491[/C][/ROW]
[ROW][C]48[/C][C]0.275837[/C][C]2.8533[/C][C]0.002598[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72349&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72349&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
10.0498950.51610.303417
2-0.042043-0.43490.332255
3-0.394999-4.08594.3e-05
4-0.26648-2.75650.003435
50.1020551.05570.14675
60.1677581.73530.042783
70.0631220.65290.257597
8-0.287747-2.97650.001803
9-0.315404-3.26260.000741
10-0.156364-1.61740.054364
110.3274293.3870.000495
120.5662745.85760
130.1899161.96450.026032
14-0.08597-0.88930.187923
15-0.319407-3.3040.000649
16-0.286157-2.960.001894
170.2281122.35960.010054
180.025290.26160.397065
190.1254521.29770.098594
20-0.31617-3.27050.000722
21-0.280808-2.90470.002233
22-0.096679-1.00010.15977
230.3063363.16880.000998
240.4878815.04671e-06
250.120071.2420.108473
26-0.018772-0.19420.423203
27-0.349536-3.61560.000229
28-0.131982-1.36520.087522
290.1049121.08520.140132
300.0979731.01340.156567
310.0395210.40880.341747
32-0.222562-2.30220.01163
33-0.328067-3.39350.000484
34-0.014071-0.14550.442276
350.2305472.38480.009424
360.4255274.40171.3e-05
370.1067651.10440.135951
38-0.03231-0.33420.369433
39-0.280184-2.89820.002276
40-0.097746-1.01110.157126
410.107341.11030.134672
420.0470330.48650.313799
430.0704520.72880.233868
44-0.254135-2.62880.004915
45-0.19644-2.0320.022316
46-0.077243-0.7990.213027
470.2572822.66130.004491
480.2758372.85330.002598







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0498950.51610.303417
2-0.044644-0.46180.32258
3-0.392337-4.05844.7e-05
4-0.278114-2.87680.002425
50.0872070.90210.184522
60.0099370.10280.459161
7-0.172721-1.78660.038414
8-0.38882-4.0225.4e-05
9-0.382152-3.9536.9e-05
10-0.425146-4.39771.3e-05
11-0.198213-2.05030.021388
120.235382.43480.008277
130.0828120.85660.196785
140.007450.07710.46936
150.1029561.0650.144639
16-0.160458-1.65980.049943
170.1595711.65060.050874
18-0.155817-1.61180.054978
19-0.007103-0.07350.470782
20-0.044571-0.4610.32285
21-0.00678-0.07010.472109
22-0.0556-0.57510.283204
23-0.024325-0.25160.400907
240.095890.99190.161743
25-0.086452-0.89430.186593
260.0434810.44980.326891
270.080910.83690.202245
28-0.022092-0.22850.409838
290.0272370.28170.389344
300.0156220.16160.435965
310.0066160.06840.472785
320.1315461.36070.088231
33-0.008482-0.08770.465122
34-0.022427-0.2320.408496
350.0178110.18420.427086
360.0320760.33180.370346
37-0.047434-0.49070.312336
38-0.009926-0.10270.459206
390.0621960.64340.260684
40-0.008214-0.0850.466225
410.0448340.46380.32188
420.0090970.09410.462604
43-0.046667-0.48270.315138
440.0811360.83930.201591
450.1202381.24380.108154
46-0.031854-0.32950.371211
470.1035261.07090.143317
480.0149180.15430.438827

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.049895 & 0.5161 & 0.303417 \tabularnewline
2 & -0.044644 & -0.4618 & 0.32258 \tabularnewline
3 & -0.392337 & -4.0584 & 4.7e-05 \tabularnewline
4 & -0.278114 & -2.8768 & 0.002425 \tabularnewline
5 & 0.087207 & 0.9021 & 0.184522 \tabularnewline
6 & 0.009937 & 0.1028 & 0.459161 \tabularnewline
7 & -0.172721 & -1.7866 & 0.038414 \tabularnewline
8 & -0.38882 & -4.022 & 5.4e-05 \tabularnewline
9 & -0.382152 & -3.953 & 6.9e-05 \tabularnewline
10 & -0.425146 & -4.3977 & 1.3e-05 \tabularnewline
11 & -0.198213 & -2.0503 & 0.021388 \tabularnewline
12 & 0.23538 & 2.4348 & 0.008277 \tabularnewline
13 & 0.082812 & 0.8566 & 0.196785 \tabularnewline
14 & 0.00745 & 0.0771 & 0.46936 \tabularnewline
15 & 0.102956 & 1.065 & 0.144639 \tabularnewline
16 & -0.160458 & -1.6598 & 0.049943 \tabularnewline
17 & 0.159571 & 1.6506 & 0.050874 \tabularnewline
18 & -0.155817 & -1.6118 & 0.054978 \tabularnewline
19 & -0.007103 & -0.0735 & 0.470782 \tabularnewline
20 & -0.044571 & -0.461 & 0.32285 \tabularnewline
21 & -0.00678 & -0.0701 & 0.472109 \tabularnewline
22 & -0.0556 & -0.5751 & 0.283204 \tabularnewline
23 & -0.024325 & -0.2516 & 0.400907 \tabularnewline
24 & 0.09589 & 0.9919 & 0.161743 \tabularnewline
25 & -0.086452 & -0.8943 & 0.186593 \tabularnewline
26 & 0.043481 & 0.4498 & 0.326891 \tabularnewline
27 & 0.08091 & 0.8369 & 0.202245 \tabularnewline
28 & -0.022092 & -0.2285 & 0.409838 \tabularnewline
29 & 0.027237 & 0.2817 & 0.389344 \tabularnewline
30 & 0.015622 & 0.1616 & 0.435965 \tabularnewline
31 & 0.006616 & 0.0684 & 0.472785 \tabularnewline
32 & 0.131546 & 1.3607 & 0.088231 \tabularnewline
33 & -0.008482 & -0.0877 & 0.465122 \tabularnewline
34 & -0.022427 & -0.232 & 0.408496 \tabularnewline
35 & 0.017811 & 0.1842 & 0.427086 \tabularnewline
36 & 0.032076 & 0.3318 & 0.370346 \tabularnewline
37 & -0.047434 & -0.4907 & 0.312336 \tabularnewline
38 & -0.009926 & -0.1027 & 0.459206 \tabularnewline
39 & 0.062196 & 0.6434 & 0.260684 \tabularnewline
40 & -0.008214 & -0.085 & 0.466225 \tabularnewline
41 & 0.044834 & 0.4638 & 0.32188 \tabularnewline
42 & 0.009097 & 0.0941 & 0.462604 \tabularnewline
43 & -0.046667 & -0.4827 & 0.315138 \tabularnewline
44 & 0.081136 & 0.8393 & 0.201591 \tabularnewline
45 & 0.120238 & 1.2438 & 0.108154 \tabularnewline
46 & -0.031854 & -0.3295 & 0.371211 \tabularnewline
47 & 0.103526 & 1.0709 & 0.143317 \tabularnewline
48 & 0.014918 & 0.1543 & 0.438827 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72349&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]0.049895[/C][C]0.5161[/C][C]0.303417[/C][/ROW]
[ROW][C]2[/C][C]-0.044644[/C][C]-0.4618[/C][C]0.32258[/C][/ROW]
[ROW][C]3[/C][C]-0.392337[/C][C]-4.0584[/C][C]4.7e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.278114[/C][C]-2.8768[/C][C]0.002425[/C][/ROW]
[ROW][C]5[/C][C]0.087207[/C][C]0.9021[/C][C]0.184522[/C][/ROW]
[ROW][C]6[/C][C]0.009937[/C][C]0.1028[/C][C]0.459161[/C][/ROW]
[ROW][C]7[/C][C]-0.172721[/C][C]-1.7866[/C][C]0.038414[/C][/ROW]
[ROW][C]8[/C][C]-0.38882[/C][C]-4.022[/C][C]5.4e-05[/C][/ROW]
[ROW][C]9[/C][C]-0.382152[/C][C]-3.953[/C][C]6.9e-05[/C][/ROW]
[ROW][C]10[/C][C]-0.425146[/C][C]-4.3977[/C][C]1.3e-05[/C][/ROW]
[ROW][C]11[/C][C]-0.198213[/C][C]-2.0503[/C][C]0.021388[/C][/ROW]
[ROW][C]12[/C][C]0.23538[/C][C]2.4348[/C][C]0.008277[/C][/ROW]
[ROW][C]13[/C][C]0.082812[/C][C]0.8566[/C][C]0.196785[/C][/ROW]
[ROW][C]14[/C][C]0.00745[/C][C]0.0771[/C][C]0.46936[/C][/ROW]
[ROW][C]15[/C][C]0.102956[/C][C]1.065[/C][C]0.144639[/C][/ROW]
[ROW][C]16[/C][C]-0.160458[/C][C]-1.6598[/C][C]0.049943[/C][/ROW]
[ROW][C]17[/C][C]0.159571[/C][C]1.6506[/C][C]0.050874[/C][/ROW]
[ROW][C]18[/C][C]-0.155817[/C][C]-1.6118[/C][C]0.054978[/C][/ROW]
[ROW][C]19[/C][C]-0.007103[/C][C]-0.0735[/C][C]0.470782[/C][/ROW]
[ROW][C]20[/C][C]-0.044571[/C][C]-0.461[/C][C]0.32285[/C][/ROW]
[ROW][C]21[/C][C]-0.00678[/C][C]-0.0701[/C][C]0.472109[/C][/ROW]
[ROW][C]22[/C][C]-0.0556[/C][C]-0.5751[/C][C]0.283204[/C][/ROW]
[ROW][C]23[/C][C]-0.024325[/C][C]-0.2516[/C][C]0.400907[/C][/ROW]
[ROW][C]24[/C][C]0.09589[/C][C]0.9919[/C][C]0.161743[/C][/ROW]
[ROW][C]25[/C][C]-0.086452[/C][C]-0.8943[/C][C]0.186593[/C][/ROW]
[ROW][C]26[/C][C]0.043481[/C][C]0.4498[/C][C]0.326891[/C][/ROW]
[ROW][C]27[/C][C]0.08091[/C][C]0.8369[/C][C]0.202245[/C][/ROW]
[ROW][C]28[/C][C]-0.022092[/C][C]-0.2285[/C][C]0.409838[/C][/ROW]
[ROW][C]29[/C][C]0.027237[/C][C]0.2817[/C][C]0.389344[/C][/ROW]
[ROW][C]30[/C][C]0.015622[/C][C]0.1616[/C][C]0.435965[/C][/ROW]
[ROW][C]31[/C][C]0.006616[/C][C]0.0684[/C][C]0.472785[/C][/ROW]
[ROW][C]32[/C][C]0.131546[/C][C]1.3607[/C][C]0.088231[/C][/ROW]
[ROW][C]33[/C][C]-0.008482[/C][C]-0.0877[/C][C]0.465122[/C][/ROW]
[ROW][C]34[/C][C]-0.022427[/C][C]-0.232[/C][C]0.408496[/C][/ROW]
[ROW][C]35[/C][C]0.017811[/C][C]0.1842[/C][C]0.427086[/C][/ROW]
[ROW][C]36[/C][C]0.032076[/C][C]0.3318[/C][C]0.370346[/C][/ROW]
[ROW][C]37[/C][C]-0.047434[/C][C]-0.4907[/C][C]0.312336[/C][/ROW]
[ROW][C]38[/C][C]-0.009926[/C][C]-0.1027[/C][C]0.459206[/C][/ROW]
[ROW][C]39[/C][C]0.062196[/C][C]0.6434[/C][C]0.260684[/C][/ROW]
[ROW][C]40[/C][C]-0.008214[/C][C]-0.085[/C][C]0.466225[/C][/ROW]
[ROW][C]41[/C][C]0.044834[/C][C]0.4638[/C][C]0.32188[/C][/ROW]
[ROW][C]42[/C][C]0.009097[/C][C]0.0941[/C][C]0.462604[/C][/ROW]
[ROW][C]43[/C][C]-0.046667[/C][C]-0.4827[/C][C]0.315138[/C][/ROW]
[ROW][C]44[/C][C]0.081136[/C][C]0.8393[/C][C]0.201591[/C][/ROW]
[ROW][C]45[/C][C]0.120238[/C][C]1.2438[/C][C]0.108154[/C][/ROW]
[ROW][C]46[/C][C]-0.031854[/C][C]-0.3295[/C][C]0.371211[/C][/ROW]
[ROW][C]47[/C][C]0.103526[/C][C]1.0709[/C][C]0.143317[/C][/ROW]
[ROW][C]48[/C][C]0.014918[/C][C]0.1543[/C][C]0.438827[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72349&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72349&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
10.0498950.51610.303417
2-0.044644-0.46180.32258
3-0.392337-4.05844.7e-05
4-0.278114-2.87680.002425
50.0872070.90210.184522
60.0099370.10280.459161
7-0.172721-1.78660.038414
8-0.38882-4.0225.4e-05
9-0.382152-3.9536.9e-05
10-0.425146-4.39771.3e-05
11-0.198213-2.05030.021388
120.235382.43480.008277
130.0828120.85660.196785
140.007450.07710.46936
150.1029561.0650.144639
16-0.160458-1.65980.049943
170.1595711.65060.050874
18-0.155817-1.61180.054978
19-0.007103-0.07350.470782
20-0.044571-0.4610.32285
21-0.00678-0.07010.472109
22-0.0556-0.57510.283204
23-0.024325-0.25160.400907
240.095890.99190.161743
25-0.086452-0.89430.186593
260.0434810.44980.326891
270.080910.83690.202245
28-0.022092-0.22850.409838
290.0272370.28170.389344
300.0156220.16160.435965
310.0066160.06840.472785
320.1315461.36070.088231
33-0.008482-0.08770.465122
34-0.022427-0.2320.408496
350.0178110.18420.427086
360.0320760.33180.370346
37-0.047434-0.49070.312336
38-0.009926-0.10270.459206
390.0621960.64340.260684
40-0.008214-0.0850.466225
410.0448340.46380.32188
420.0090970.09410.462604
43-0.046667-0.48270.315138
440.0811360.83930.201591
450.1202381.24380.108154
46-0.031854-0.32950.371211
470.1035261.07090.143317
480.0149180.15430.438827



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