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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 05 Dec 2007 07:22:47 -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/05/t1196864010tlgfl6u2wswt7f4.htm/, Retrieved Thu, 02 May 2024 23:40:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2476, Retrieved Thu, 02 May 2024 23:40:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGoetschalckx J, Vandewalle N, Van Hove N, Leroy Y, Jacobs J
Estimated Impact237
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 5 Q1] [2007-12-05 14:22:47] [d47d9b730cfe603c6e1e6182f77c44ba] [Current]
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Dataseries X:
0.409
-0.625
-0.211
-0.676
0.274
0.893
-0.544
-0.161
-0.296
0.742
0.495
-0.178
0.313
-0.66
-0.103
-0.463
-0.149
0.865
0.243
-1.022
-0.236
0.72
-0.171
0.576
0.019
0.005
-0.106
-0.667
0.102
0.702
0.066
-0.604
-0.123
0.552
0.083
0.254
0.307
-0.581
0.277
-0.7
0.089
0.245
-0.017
-0.329
-0.167
0.237
0.727
-0.167
0.282
-0.585
-0.057
-0.502
-0.01
0.633
-0.28
-0.311
0.13
1.168
0.09
0.55




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=2476&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=2476&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2476&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
016.92820
1-0.519363-3.59830.999622
20.1248360.86490.195701
30.1208720.83740.203251
4-0.143455-0.99390.837369
50.0736660.51040.306064
6-0.046771-0.3240.626341
7-0.022123-0.15330.560586
80.180031.24730.109172
9-0.218877-1.51640.932015
100.0416450.28850.387093
110.1355960.93940.176105
12-0.303472-2.10250.979611
130.2372821.64390.053362
14-0.084767-0.58730.720116
150.0551410.3820.352065
16-0.141903-0.98310.834765
170.0285410.19770.422041
180.0345440.23930.405936
19-0.067403-0.4670.678688
20-0.054678-0.37880.646754
210.1902571.31810.096857
22-0.182977-1.26770.894491
230.1510361.04640.150307
24-0.21258-1.47280.926333
250.1545161.07050.144869
260.0532310.36880.35695
27-0.231494-1.60380.942345
280.2589011.79370.039579
29-0.062889-0.43570.667498
30-0.055162-0.38220.647991
310.0765820.53060.299079
320.0160480.11120.455967
33-0.035879-0.24860.597626
340.1065970.73850.231895
35-0.119564-0.82840.794217
360.1019980.70670.241596
37-0.105963-0.73410.766781
38-0.057204-0.39630.653188
390.1676321.16140.125613
40-0.175682-1.21720.885253
410.0250620.17360.431442
420.0654450.45340.326146
43-0.049493-0.34290.633414
44-0.000835-0.00580.502295
45-0.001158-0.0080.503183
460.0050640.03510.486079
47-0.010831-0.0750.529753

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & -0.519363 & -3.5983 & 0.999622 \tabularnewline
2 & 0.124836 & 0.8649 & 0.195701 \tabularnewline
3 & 0.120872 & 0.8374 & 0.203251 \tabularnewline
4 & -0.143455 & -0.9939 & 0.837369 \tabularnewline
5 & 0.073666 & 0.5104 & 0.306064 \tabularnewline
6 & -0.046771 & -0.324 & 0.626341 \tabularnewline
7 & -0.022123 & -0.1533 & 0.560586 \tabularnewline
8 & 0.18003 & 1.2473 & 0.109172 \tabularnewline
9 & -0.218877 & -1.5164 & 0.932015 \tabularnewline
10 & 0.041645 & 0.2885 & 0.387093 \tabularnewline
11 & 0.135596 & 0.9394 & 0.176105 \tabularnewline
12 & -0.303472 & -2.1025 & 0.979611 \tabularnewline
13 & 0.237282 & 1.6439 & 0.053362 \tabularnewline
14 & -0.084767 & -0.5873 & 0.720116 \tabularnewline
15 & 0.055141 & 0.382 & 0.352065 \tabularnewline
16 & -0.141903 & -0.9831 & 0.834765 \tabularnewline
17 & 0.028541 & 0.1977 & 0.422041 \tabularnewline
18 & 0.034544 & 0.2393 & 0.405936 \tabularnewline
19 & -0.067403 & -0.467 & 0.678688 \tabularnewline
20 & -0.054678 & -0.3788 & 0.646754 \tabularnewline
21 & 0.190257 & 1.3181 & 0.096857 \tabularnewline
22 & -0.182977 & -1.2677 & 0.894491 \tabularnewline
23 & 0.151036 & 1.0464 & 0.150307 \tabularnewline
24 & -0.21258 & -1.4728 & 0.926333 \tabularnewline
25 & 0.154516 & 1.0705 & 0.144869 \tabularnewline
26 & 0.053231 & 0.3688 & 0.35695 \tabularnewline
27 & -0.231494 & -1.6038 & 0.942345 \tabularnewline
28 & 0.258901 & 1.7937 & 0.039579 \tabularnewline
29 & -0.062889 & -0.4357 & 0.667498 \tabularnewline
30 & -0.055162 & -0.3822 & 0.647991 \tabularnewline
31 & 0.076582 & 0.5306 & 0.299079 \tabularnewline
32 & 0.016048 & 0.1112 & 0.455967 \tabularnewline
33 & -0.035879 & -0.2486 & 0.597626 \tabularnewline
34 & 0.106597 & 0.7385 & 0.231895 \tabularnewline
35 & -0.119564 & -0.8284 & 0.794217 \tabularnewline
36 & 0.101998 & 0.7067 & 0.241596 \tabularnewline
37 & -0.105963 & -0.7341 & 0.766781 \tabularnewline
38 & -0.057204 & -0.3963 & 0.653188 \tabularnewline
39 & 0.167632 & 1.1614 & 0.125613 \tabularnewline
40 & -0.175682 & -1.2172 & 0.885253 \tabularnewline
41 & 0.025062 & 0.1736 & 0.431442 \tabularnewline
42 & 0.065445 & 0.4534 & 0.326146 \tabularnewline
43 & -0.049493 & -0.3429 & 0.633414 \tabularnewline
44 & -0.000835 & -0.0058 & 0.502295 \tabularnewline
45 & -0.001158 & -0.008 & 0.503183 \tabularnewline
46 & 0.005064 & 0.0351 & 0.486079 \tabularnewline
47 & -0.010831 & -0.075 & 0.529753 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2476&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.519363[/C][C]-3.5983[/C][C]0.999622[/C][/ROW]
[ROW][C]2[/C][C]0.124836[/C][C]0.8649[/C][C]0.195701[/C][/ROW]
[ROW][C]3[/C][C]0.120872[/C][C]0.8374[/C][C]0.203251[/C][/ROW]
[ROW][C]4[/C][C]-0.143455[/C][C]-0.9939[/C][C]0.837369[/C][/ROW]
[ROW][C]5[/C][C]0.073666[/C][C]0.5104[/C][C]0.306064[/C][/ROW]
[ROW][C]6[/C][C]-0.046771[/C][C]-0.324[/C][C]0.626341[/C][/ROW]
[ROW][C]7[/C][C]-0.022123[/C][C]-0.1533[/C][C]0.560586[/C][/ROW]
[ROW][C]8[/C][C]0.18003[/C][C]1.2473[/C][C]0.109172[/C][/ROW]
[ROW][C]9[/C][C]-0.218877[/C][C]-1.5164[/C][C]0.932015[/C][/ROW]
[ROW][C]10[/C][C]0.041645[/C][C]0.2885[/C][C]0.387093[/C][/ROW]
[ROW][C]11[/C][C]0.135596[/C][C]0.9394[/C][C]0.176105[/C][/ROW]
[ROW][C]12[/C][C]-0.303472[/C][C]-2.1025[/C][C]0.979611[/C][/ROW]
[ROW][C]13[/C][C]0.237282[/C][C]1.6439[/C][C]0.053362[/C][/ROW]
[ROW][C]14[/C][C]-0.084767[/C][C]-0.5873[/C][C]0.720116[/C][/ROW]
[ROW][C]15[/C][C]0.055141[/C][C]0.382[/C][C]0.352065[/C][/ROW]
[ROW][C]16[/C][C]-0.141903[/C][C]-0.9831[/C][C]0.834765[/C][/ROW]
[ROW][C]17[/C][C]0.028541[/C][C]0.1977[/C][C]0.422041[/C][/ROW]
[ROW][C]18[/C][C]0.034544[/C][C]0.2393[/C][C]0.405936[/C][/ROW]
[ROW][C]19[/C][C]-0.067403[/C][C]-0.467[/C][C]0.678688[/C][/ROW]
[ROW][C]20[/C][C]-0.054678[/C][C]-0.3788[/C][C]0.646754[/C][/ROW]
[ROW][C]21[/C][C]0.190257[/C][C]1.3181[/C][C]0.096857[/C][/ROW]
[ROW][C]22[/C][C]-0.182977[/C][C]-1.2677[/C][C]0.894491[/C][/ROW]
[ROW][C]23[/C][C]0.151036[/C][C]1.0464[/C][C]0.150307[/C][/ROW]
[ROW][C]24[/C][C]-0.21258[/C][C]-1.4728[/C][C]0.926333[/C][/ROW]
[ROW][C]25[/C][C]0.154516[/C][C]1.0705[/C][C]0.144869[/C][/ROW]
[ROW][C]26[/C][C]0.053231[/C][C]0.3688[/C][C]0.35695[/C][/ROW]
[ROW][C]27[/C][C]-0.231494[/C][C]-1.6038[/C][C]0.942345[/C][/ROW]
[ROW][C]28[/C][C]0.258901[/C][C]1.7937[/C][C]0.039579[/C][/ROW]
[ROW][C]29[/C][C]-0.062889[/C][C]-0.4357[/C][C]0.667498[/C][/ROW]
[ROW][C]30[/C][C]-0.055162[/C][C]-0.3822[/C][C]0.647991[/C][/ROW]
[ROW][C]31[/C][C]0.076582[/C][C]0.5306[/C][C]0.299079[/C][/ROW]
[ROW][C]32[/C][C]0.016048[/C][C]0.1112[/C][C]0.455967[/C][/ROW]
[ROW][C]33[/C][C]-0.035879[/C][C]-0.2486[/C][C]0.597626[/C][/ROW]
[ROW][C]34[/C][C]0.106597[/C][C]0.7385[/C][C]0.231895[/C][/ROW]
[ROW][C]35[/C][C]-0.119564[/C][C]-0.8284[/C][C]0.794217[/C][/ROW]
[ROW][C]36[/C][C]0.101998[/C][C]0.7067[/C][C]0.241596[/C][/ROW]
[ROW][C]37[/C][C]-0.105963[/C][C]-0.7341[/C][C]0.766781[/C][/ROW]
[ROW][C]38[/C][C]-0.057204[/C][C]-0.3963[/C][C]0.653188[/C][/ROW]
[ROW][C]39[/C][C]0.167632[/C][C]1.1614[/C][C]0.125613[/C][/ROW]
[ROW][C]40[/C][C]-0.175682[/C][C]-1.2172[/C][C]0.885253[/C][/ROW]
[ROW][C]41[/C][C]0.025062[/C][C]0.1736[/C][C]0.431442[/C][/ROW]
[ROW][C]42[/C][C]0.065445[/C][C]0.4534[/C][C]0.326146[/C][/ROW]
[ROW][C]43[/C][C]-0.049493[/C][C]-0.3429[/C][C]0.633414[/C][/ROW]
[ROW][C]44[/C][C]-0.000835[/C][C]-0.0058[/C][C]0.502295[/C][/ROW]
[ROW][C]45[/C][C]-0.001158[/C][C]-0.008[/C][C]0.503183[/C][/ROW]
[ROW][C]46[/C][C]0.005064[/C][C]0.0351[/C][C]0.486079[/C][/ROW]
[ROW][C]47[/C][C]-0.010831[/C][C]-0.075[/C][C]0.529753[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2476&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2476&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
016.92820
1-0.519363-3.59830.999622
20.1248360.86490.195701
30.1208720.83740.203251
4-0.143455-0.99390.837369
50.0736660.51040.306064
6-0.046771-0.3240.626341
7-0.022123-0.15330.560586
80.180031.24730.109172
9-0.218877-1.51640.932015
100.0416450.28850.387093
110.1355960.93940.176105
12-0.303472-2.10250.979611
130.2372821.64390.053362
14-0.084767-0.58730.720116
150.0551410.3820.352065
16-0.141903-0.98310.834765
170.0285410.19770.422041
180.0345440.23930.405936
19-0.067403-0.4670.678688
20-0.054678-0.37880.646754
210.1902571.31810.096857
22-0.182977-1.26770.894491
230.1510361.04640.150307
24-0.21258-1.47280.926333
250.1545161.07050.144869
260.0532310.36880.35695
27-0.231494-1.60380.942345
280.2589011.79370.039579
29-0.062889-0.43570.667498
30-0.055162-0.38220.647991
310.0765820.53060.299079
320.0160480.11120.455967
33-0.035879-0.24860.597626
340.1065970.73850.231895
35-0.119564-0.82840.794217
360.1019980.70670.241596
37-0.105963-0.73410.766781
38-0.057204-0.39630.653188
390.1676321.16140.125613
40-0.175682-1.21720.885253
410.0250620.17360.431442
420.0654450.45340.326146
43-0.049493-0.34290.633414
44-0.000835-0.00580.502295
45-0.001158-0.0080.503183
460.0050640.03510.486079
47-0.010831-0.0750.529753







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.519363-3.59830.999622
1-0.198425-1.37470.9122
20.136160.94330.175114
30.0194920.1350.446571
4-0.010139-0.07020.527855
5-0.062731-0.43460.667105
6-0.068775-0.47650.682055
70.1998111.38430.08633
8-0.020261-0.14040.555524
9-0.169106-1.17160.876429
100.0536390.37160.355905
11-0.180401-1.24990.891293
12-0.006372-0.04410.517514
130.0391740.27140.393621
140.1297520.89890.186584
15-0.226225-1.56730.938196
16-0.169571-1.17480.87707
17-0.01668-0.11560.545759
180.0026430.01830.492733
19-0.058114-0.40260.655494
200.0694790.48140.316223
21-0.107383-0.7440.769739
220.1124180.77890.219944
23-0.215654-1.49410.929152
24-0.008717-0.06040.523953
250.1644141.13910.130159
26-0.078655-0.54490.705839
27-0.100536-0.69650.755274
280.0652220.45190.326697
290.1131040.78360.21856
30-0.00315-0.02180.50866
310.0551930.38240.35193
320.0270280.18730.426124
330.020560.14240.443662
340.0657140.45530.325481
35-0.182772-1.26630.894238
36-0.032049-0.2220.587389
37-0.053811-0.37280.644536
380.0278910.19320.423796
39-0.133275-0.92340.819779
40-0.03922-0.27170.6065
410.0172840.11970.452592
42-0.006253-0.04330.517189
430.011760.08150.467701
440.0954240.66110.255849
45-0.027053-0.18740.573943
46-0.110891-0.76830.776957
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.519363 & -3.5983 & 0.999622 \tabularnewline
1 & -0.198425 & -1.3747 & 0.9122 \tabularnewline
2 & 0.13616 & 0.9433 & 0.175114 \tabularnewline
3 & 0.019492 & 0.135 & 0.446571 \tabularnewline
4 & -0.010139 & -0.0702 & 0.527855 \tabularnewline
5 & -0.062731 & -0.4346 & 0.667105 \tabularnewline
6 & -0.068775 & -0.4765 & 0.682055 \tabularnewline
7 & 0.199811 & 1.3843 & 0.08633 \tabularnewline
8 & -0.020261 & -0.1404 & 0.555524 \tabularnewline
9 & -0.169106 & -1.1716 & 0.876429 \tabularnewline
10 & 0.053639 & 0.3716 & 0.355905 \tabularnewline
11 & -0.180401 & -1.2499 & 0.891293 \tabularnewline
12 & -0.006372 & -0.0441 & 0.517514 \tabularnewline
13 & 0.039174 & 0.2714 & 0.393621 \tabularnewline
14 & 0.129752 & 0.8989 & 0.186584 \tabularnewline
15 & -0.226225 & -1.5673 & 0.938196 \tabularnewline
16 & -0.169571 & -1.1748 & 0.87707 \tabularnewline
17 & -0.01668 & -0.1156 & 0.545759 \tabularnewline
18 & 0.002643 & 0.0183 & 0.492733 \tabularnewline
19 & -0.058114 & -0.4026 & 0.655494 \tabularnewline
20 & 0.069479 & 0.4814 & 0.316223 \tabularnewline
21 & -0.107383 & -0.744 & 0.769739 \tabularnewline
22 & 0.112418 & 0.7789 & 0.219944 \tabularnewline
23 & -0.215654 & -1.4941 & 0.929152 \tabularnewline
24 & -0.008717 & -0.0604 & 0.523953 \tabularnewline
25 & 0.164414 & 1.1391 & 0.130159 \tabularnewline
26 & -0.078655 & -0.5449 & 0.705839 \tabularnewline
27 & -0.100536 & -0.6965 & 0.755274 \tabularnewline
28 & 0.065222 & 0.4519 & 0.326697 \tabularnewline
29 & 0.113104 & 0.7836 & 0.21856 \tabularnewline
30 & -0.00315 & -0.0218 & 0.50866 \tabularnewline
31 & 0.055193 & 0.3824 & 0.35193 \tabularnewline
32 & 0.027028 & 0.1873 & 0.426124 \tabularnewline
33 & 0.02056 & 0.1424 & 0.443662 \tabularnewline
34 & 0.065714 & 0.4553 & 0.325481 \tabularnewline
35 & -0.182772 & -1.2663 & 0.894238 \tabularnewline
36 & -0.032049 & -0.222 & 0.587389 \tabularnewline
37 & -0.053811 & -0.3728 & 0.644536 \tabularnewline
38 & 0.027891 & 0.1932 & 0.423796 \tabularnewline
39 & -0.133275 & -0.9234 & 0.819779 \tabularnewline
40 & -0.03922 & -0.2717 & 0.6065 \tabularnewline
41 & 0.017284 & 0.1197 & 0.452592 \tabularnewline
42 & -0.006253 & -0.0433 & 0.517189 \tabularnewline
43 & 0.01176 & 0.0815 & 0.467701 \tabularnewline
44 & 0.095424 & 0.6611 & 0.255849 \tabularnewline
45 & -0.027053 & -0.1874 & 0.573943 \tabularnewline
46 & -0.110891 & -0.7683 & 0.776957 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2476&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]-0.519363[/C][C]-3.5983[/C][C]0.999622[/C][/ROW]
[ROW][C]1[/C][C]-0.198425[/C][C]-1.3747[/C][C]0.9122[/C][/ROW]
[ROW][C]2[/C][C]0.13616[/C][C]0.9433[/C][C]0.175114[/C][/ROW]
[ROW][C]3[/C][C]0.019492[/C][C]0.135[/C][C]0.446571[/C][/ROW]
[ROW][C]4[/C][C]-0.010139[/C][C]-0.0702[/C][C]0.527855[/C][/ROW]
[ROW][C]5[/C][C]-0.062731[/C][C]-0.4346[/C][C]0.667105[/C][/ROW]
[ROW][C]6[/C][C]-0.068775[/C][C]-0.4765[/C][C]0.682055[/C][/ROW]
[ROW][C]7[/C][C]0.199811[/C][C]1.3843[/C][C]0.08633[/C][/ROW]
[ROW][C]8[/C][C]-0.020261[/C][C]-0.1404[/C][C]0.555524[/C][/ROW]
[ROW][C]9[/C][C]-0.169106[/C][C]-1.1716[/C][C]0.876429[/C][/ROW]
[ROW][C]10[/C][C]0.053639[/C][C]0.3716[/C][C]0.355905[/C][/ROW]
[ROW][C]11[/C][C]-0.180401[/C][C]-1.2499[/C][C]0.891293[/C][/ROW]
[ROW][C]12[/C][C]-0.006372[/C][C]-0.0441[/C][C]0.517514[/C][/ROW]
[ROW][C]13[/C][C]0.039174[/C][C]0.2714[/C][C]0.393621[/C][/ROW]
[ROW][C]14[/C][C]0.129752[/C][C]0.8989[/C][C]0.186584[/C][/ROW]
[ROW][C]15[/C][C]-0.226225[/C][C]-1.5673[/C][C]0.938196[/C][/ROW]
[ROW][C]16[/C][C]-0.169571[/C][C]-1.1748[/C][C]0.87707[/C][/ROW]
[ROW][C]17[/C][C]-0.01668[/C][C]-0.1156[/C][C]0.545759[/C][/ROW]
[ROW][C]18[/C][C]0.002643[/C][C]0.0183[/C][C]0.492733[/C][/ROW]
[ROW][C]19[/C][C]-0.058114[/C][C]-0.4026[/C][C]0.655494[/C][/ROW]
[ROW][C]20[/C][C]0.069479[/C][C]0.4814[/C][C]0.316223[/C][/ROW]
[ROW][C]21[/C][C]-0.107383[/C][C]-0.744[/C][C]0.769739[/C][/ROW]
[ROW][C]22[/C][C]0.112418[/C][C]0.7789[/C][C]0.219944[/C][/ROW]
[ROW][C]23[/C][C]-0.215654[/C][C]-1.4941[/C][C]0.929152[/C][/ROW]
[ROW][C]24[/C][C]-0.008717[/C][C]-0.0604[/C][C]0.523953[/C][/ROW]
[ROW][C]25[/C][C]0.164414[/C][C]1.1391[/C][C]0.130159[/C][/ROW]
[ROW][C]26[/C][C]-0.078655[/C][C]-0.5449[/C][C]0.705839[/C][/ROW]
[ROW][C]27[/C][C]-0.100536[/C][C]-0.6965[/C][C]0.755274[/C][/ROW]
[ROW][C]28[/C][C]0.065222[/C][C]0.4519[/C][C]0.326697[/C][/ROW]
[ROW][C]29[/C][C]0.113104[/C][C]0.7836[/C][C]0.21856[/C][/ROW]
[ROW][C]30[/C][C]-0.00315[/C][C]-0.0218[/C][C]0.50866[/C][/ROW]
[ROW][C]31[/C][C]0.055193[/C][C]0.3824[/C][C]0.35193[/C][/ROW]
[ROW][C]32[/C][C]0.027028[/C][C]0.1873[/C][C]0.426124[/C][/ROW]
[ROW][C]33[/C][C]0.02056[/C][C]0.1424[/C][C]0.443662[/C][/ROW]
[ROW][C]34[/C][C]0.065714[/C][C]0.4553[/C][C]0.325481[/C][/ROW]
[ROW][C]35[/C][C]-0.182772[/C][C]-1.2663[/C][C]0.894238[/C][/ROW]
[ROW][C]36[/C][C]-0.032049[/C][C]-0.222[/C][C]0.587389[/C][/ROW]
[ROW][C]37[/C][C]-0.053811[/C][C]-0.3728[/C][C]0.644536[/C][/ROW]
[ROW][C]38[/C][C]0.027891[/C][C]0.1932[/C][C]0.423796[/C][/ROW]
[ROW][C]39[/C][C]-0.133275[/C][C]-0.9234[/C][C]0.819779[/C][/ROW]
[ROW][C]40[/C][C]-0.03922[/C][C]-0.2717[/C][C]0.6065[/C][/ROW]
[ROW][C]41[/C][C]0.017284[/C][C]0.1197[/C][C]0.452592[/C][/ROW]
[ROW][C]42[/C][C]-0.006253[/C][C]-0.0433[/C][C]0.517189[/C][/ROW]
[ROW][C]43[/C][C]0.01176[/C][C]0.0815[/C][C]0.467701[/C][/ROW]
[ROW][C]44[/C][C]0.095424[/C][C]0.6611[/C][C]0.255849[/C][/ROW]
[ROW][C]45[/C][C]-0.027053[/C][C]-0.1874[/C][C]0.573943[/C][/ROW]
[ROW][C]46[/C][C]-0.110891[/C][C]-0.7683[/C][C]0.776957[/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=2476&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2476&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
0-0.519363-3.59830.999622
1-0.198425-1.37470.9122
20.136160.94330.175114
30.0194920.1350.446571
4-0.010139-0.07020.527855
5-0.062731-0.43460.667105
6-0.068775-0.47650.682055
70.1998111.38430.08633
8-0.020261-0.14040.555524
9-0.169106-1.17160.876429
100.0536390.37160.355905
11-0.180401-1.24990.891293
12-0.006372-0.04410.517514
130.0391740.27140.393621
140.1297520.89890.186584
15-0.226225-1.56730.938196
16-0.169571-1.17480.87707
17-0.01668-0.11560.545759
180.0026430.01830.492733
19-0.058114-0.40260.655494
200.0694790.48140.316223
21-0.107383-0.7440.769739
220.1124180.77890.219944
23-0.215654-1.49410.929152
24-0.008717-0.06040.523953
250.1644141.13910.130159
26-0.078655-0.54490.705839
27-0.100536-0.69650.755274
280.0652220.45190.326697
290.1131040.78360.21856
30-0.00315-0.02180.50866
310.0551930.38240.35193
320.0270280.18730.426124
330.020560.14240.443662
340.0657140.45530.325481
35-0.182772-1.26630.894238
36-0.032049-0.2220.587389
37-0.053811-0.37280.644536
380.0278910.19320.423796
39-0.133275-0.92340.819779
40-0.03922-0.27170.6065
410.0172840.11970.452592
42-0.006253-0.04330.517189
430.011760.08150.467701
440.0954240.66110.255849
45-0.027053-0.18740.573943
46-0.110891-0.76830.776957
47NANANA



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