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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, 07 Dec 2007 06:34:05 -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/2007/Dec/07/t119703372013mgrr0zp1xt4oz.htm/, Retrieved Mon, 29 Apr 2024 06:13:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2817, Retrieved Mon, 29 Apr 2024 06:13:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-07 13:34:05] [40a229849a2b804e343854d9b3fa1a24] [Current]
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Dataseries X:
103.7
103.75
103.85
104.02
104.13
104.17
104.18
104.2
104.5
104.78
104.88
104.89
104.9
104.95
105.24
105.35
105.44
105.46
105.47
105.48
105.75
106.1
106.19
106.23
106.24
106.25
106.35
106.48
106.52
106.55
106.55
106.56
106.89
107.09
107.24
107.28
107.3
107.31
107.47
107.35
107.31
107.32
107.32
107.34
107.53
107.72
107.75
107.79
107.81
107.9
107.8
107.86
107.8
107.74
107.75
107.83
107.8
107.81
107.86
107.83




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 5 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=2817&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]5 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=2817&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2817&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 time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
10.3371642.58980.006039
2-0.071059-0.54580.706373
3-0.220783-1.69590.952409
4-0.101327-0.77830.780252
50.1124960.86410.195517
60.387992.98020.002089
70.0827130.63530.263835
8-0.218194-1.6760.950483
9-0.22224-1.70710.953465
10-0.090968-0.69870.756269
110.3616062.77750.003666
120.4779863.67150.00026
130.2913562.2380.014506
14-0.103432-0.79450.784948
15-0.196342-1.50810.931571
16-0.11201-0.86040.803465
170.1547431.18860.11968
180.145841.12020.13358
19-0.03642-0.27970.609674
20-0.151991-1.16750.87614
21-0.214471-1.64740.947602
22-0.073163-0.5620.711869
230.1379091.05930.146891
240.2672392.05270.022273
25-0.013273-0.1020.540429
26-0.132082-1.01450.842766
27-0.160084-1.22960.888142
28-0.005503-0.04230.516788
290.0357720.27480.392226
300.0284880.21880.413772
31-0.09032-0.69380.754724
32-0.174814-1.34280.907755
33-0.110715-0.85040.800736
34-0.024118-0.18530.573167
350.0456460.35060.363564
36-0.032535-0.24990.598235
37-0.031564-0.24240.595362
38-0.138718-1.06550.854508
39-0.100032-0.76840.777332
40-0.011007-0.08450.533545
410.0187760.14420.442908
42-0.057948-0.44510.671063
43-0.06426-0.49360.688287
44-0.095986-0.73730.768063
45-0.074943-0.57570.71648
460.0016190.01240.495061
47-0.023309-0.1790.570739

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.337164 & 2.5898 & 0.006039 \tabularnewline
2 & -0.071059 & -0.5458 & 0.706373 \tabularnewline
3 & -0.220783 & -1.6959 & 0.952409 \tabularnewline
4 & -0.101327 & -0.7783 & 0.780252 \tabularnewline
5 & 0.112496 & 0.8641 & 0.195517 \tabularnewline
6 & 0.38799 & 2.9802 & 0.002089 \tabularnewline
7 & 0.082713 & 0.6353 & 0.263835 \tabularnewline
8 & -0.218194 & -1.676 & 0.950483 \tabularnewline
9 & -0.22224 & -1.7071 & 0.953465 \tabularnewline
10 & -0.090968 & -0.6987 & 0.756269 \tabularnewline
11 & 0.361606 & 2.7775 & 0.003666 \tabularnewline
12 & 0.477986 & 3.6715 & 0.00026 \tabularnewline
13 & 0.291356 & 2.238 & 0.014506 \tabularnewline
14 & -0.103432 & -0.7945 & 0.784948 \tabularnewline
15 & -0.196342 & -1.5081 & 0.931571 \tabularnewline
16 & -0.11201 & -0.8604 & 0.803465 \tabularnewline
17 & 0.154743 & 1.1886 & 0.11968 \tabularnewline
18 & 0.14584 & 1.1202 & 0.13358 \tabularnewline
19 & -0.03642 & -0.2797 & 0.609674 \tabularnewline
20 & -0.151991 & -1.1675 & 0.87614 \tabularnewline
21 & -0.214471 & -1.6474 & 0.947602 \tabularnewline
22 & -0.073163 & -0.562 & 0.711869 \tabularnewline
23 & 0.137909 & 1.0593 & 0.146891 \tabularnewline
24 & 0.267239 & 2.0527 & 0.022273 \tabularnewline
25 & -0.013273 & -0.102 & 0.540429 \tabularnewline
26 & -0.132082 & -1.0145 & 0.842766 \tabularnewline
27 & -0.160084 & -1.2296 & 0.888142 \tabularnewline
28 & -0.005503 & -0.0423 & 0.516788 \tabularnewline
29 & 0.035772 & 0.2748 & 0.392226 \tabularnewline
30 & 0.028488 & 0.2188 & 0.413772 \tabularnewline
31 & -0.09032 & -0.6938 & 0.754724 \tabularnewline
32 & -0.174814 & -1.3428 & 0.907755 \tabularnewline
33 & -0.110715 & -0.8504 & 0.800736 \tabularnewline
34 & -0.024118 & -0.1853 & 0.573167 \tabularnewline
35 & 0.045646 & 0.3506 & 0.363564 \tabularnewline
36 & -0.032535 & -0.2499 & 0.598235 \tabularnewline
37 & -0.031564 & -0.2424 & 0.595362 \tabularnewline
38 & -0.138718 & -1.0655 & 0.854508 \tabularnewline
39 & -0.100032 & -0.7684 & 0.777332 \tabularnewline
40 & -0.011007 & -0.0845 & 0.533545 \tabularnewline
41 & 0.018776 & 0.1442 & 0.442908 \tabularnewline
42 & -0.057948 & -0.4451 & 0.671063 \tabularnewline
43 & -0.06426 & -0.4936 & 0.688287 \tabularnewline
44 & -0.095986 & -0.7373 & 0.768063 \tabularnewline
45 & -0.074943 & -0.5757 & 0.71648 \tabularnewline
46 & 0.001619 & 0.0124 & 0.495061 \tabularnewline
47 & -0.023309 & -0.179 & 0.570739 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2817&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.337164[/C][C]2.5898[/C][C]0.006039[/C][/ROW]
[ROW][C]2[/C][C]-0.071059[/C][C]-0.5458[/C][C]0.706373[/C][/ROW]
[ROW][C]3[/C][C]-0.220783[/C][C]-1.6959[/C][C]0.952409[/C][/ROW]
[ROW][C]4[/C][C]-0.101327[/C][C]-0.7783[/C][C]0.780252[/C][/ROW]
[ROW][C]5[/C][C]0.112496[/C][C]0.8641[/C][C]0.195517[/C][/ROW]
[ROW][C]6[/C][C]0.38799[/C][C]2.9802[/C][C]0.002089[/C][/ROW]
[ROW][C]7[/C][C]0.082713[/C][C]0.6353[/C][C]0.263835[/C][/ROW]
[ROW][C]8[/C][C]-0.218194[/C][C]-1.676[/C][C]0.950483[/C][/ROW]
[ROW][C]9[/C][C]-0.22224[/C][C]-1.7071[/C][C]0.953465[/C][/ROW]
[ROW][C]10[/C][C]-0.090968[/C][C]-0.6987[/C][C]0.756269[/C][/ROW]
[ROW][C]11[/C][C]0.361606[/C][C]2.7775[/C][C]0.003666[/C][/ROW]
[ROW][C]12[/C][C]0.477986[/C][C]3.6715[/C][C]0.00026[/C][/ROW]
[ROW][C]13[/C][C]0.291356[/C][C]2.238[/C][C]0.014506[/C][/ROW]
[ROW][C]14[/C][C]-0.103432[/C][C]-0.7945[/C][C]0.784948[/C][/ROW]
[ROW][C]15[/C][C]-0.196342[/C][C]-1.5081[/C][C]0.931571[/C][/ROW]
[ROW][C]16[/C][C]-0.11201[/C][C]-0.8604[/C][C]0.803465[/C][/ROW]
[ROW][C]17[/C][C]0.154743[/C][C]1.1886[/C][C]0.11968[/C][/ROW]
[ROW][C]18[/C][C]0.14584[/C][C]1.1202[/C][C]0.13358[/C][/ROW]
[ROW][C]19[/C][C]-0.03642[/C][C]-0.2797[/C][C]0.609674[/C][/ROW]
[ROW][C]20[/C][C]-0.151991[/C][C]-1.1675[/C][C]0.87614[/C][/ROW]
[ROW][C]21[/C][C]-0.214471[/C][C]-1.6474[/C][C]0.947602[/C][/ROW]
[ROW][C]22[/C][C]-0.073163[/C][C]-0.562[/C][C]0.711869[/C][/ROW]
[ROW][C]23[/C][C]0.137909[/C][C]1.0593[/C][C]0.146891[/C][/ROW]
[ROW][C]24[/C][C]0.267239[/C][C]2.0527[/C][C]0.022273[/C][/ROW]
[ROW][C]25[/C][C]-0.013273[/C][C]-0.102[/C][C]0.540429[/C][/ROW]
[ROW][C]26[/C][C]-0.132082[/C][C]-1.0145[/C][C]0.842766[/C][/ROW]
[ROW][C]27[/C][C]-0.160084[/C][C]-1.2296[/C][C]0.888142[/C][/ROW]
[ROW][C]28[/C][C]-0.005503[/C][C]-0.0423[/C][C]0.516788[/C][/ROW]
[ROW][C]29[/C][C]0.035772[/C][C]0.2748[/C][C]0.392226[/C][/ROW]
[ROW][C]30[/C][C]0.028488[/C][C]0.2188[/C][C]0.413772[/C][/ROW]
[ROW][C]31[/C][C]-0.09032[/C][C]-0.6938[/C][C]0.754724[/C][/ROW]
[ROW][C]32[/C][C]-0.174814[/C][C]-1.3428[/C][C]0.907755[/C][/ROW]
[ROW][C]33[/C][C]-0.110715[/C][C]-0.8504[/C][C]0.800736[/C][/ROW]
[ROW][C]34[/C][C]-0.024118[/C][C]-0.1853[/C][C]0.573167[/C][/ROW]
[ROW][C]35[/C][C]0.045646[/C][C]0.3506[/C][C]0.363564[/C][/ROW]
[ROW][C]36[/C][C]-0.032535[/C][C]-0.2499[/C][C]0.598235[/C][/ROW]
[ROW][C]37[/C][C]-0.031564[/C][C]-0.2424[/C][C]0.595362[/C][/ROW]
[ROW][C]38[/C][C]-0.138718[/C][C]-1.0655[/C][C]0.854508[/C][/ROW]
[ROW][C]39[/C][C]-0.100032[/C][C]-0.7684[/C][C]0.777332[/C][/ROW]
[ROW][C]40[/C][C]-0.011007[/C][C]-0.0845[/C][C]0.533545[/C][/ROW]
[ROW][C]41[/C][C]0.018776[/C][C]0.1442[/C][C]0.442908[/C][/ROW]
[ROW][C]42[/C][C]-0.057948[/C][C]-0.4451[/C][C]0.671063[/C][/ROW]
[ROW][C]43[/C][C]-0.06426[/C][C]-0.4936[/C][C]0.688287[/C][/ROW]
[ROW][C]44[/C][C]-0.095986[/C][C]-0.7373[/C][C]0.768063[/C][/ROW]
[ROW][C]45[/C][C]-0.074943[/C][C]-0.5757[/C][C]0.71648[/C][/ROW]
[ROW][C]46[/C][C]0.001619[/C][C]0.0124[/C][C]0.495061[/C][/ROW]
[ROW][C]47[/C][C]-0.023309[/C][C]-0.179[/C][C]0.570739[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2817&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2817&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
017.68110
10.3371642.58980.006039
2-0.071059-0.54580.706373
3-0.220783-1.69590.952409
4-0.101327-0.77830.780252
50.1124960.86410.195517
60.387992.98020.002089
70.0827130.63530.263835
8-0.218194-1.6760.950483
9-0.22224-1.70710.953465
10-0.090968-0.69870.756269
110.3616062.77750.003666
120.4779863.67150.00026
130.2913562.2380.014506
14-0.103432-0.79450.784948
15-0.196342-1.50810.931571
16-0.11201-0.86040.803465
170.1547431.18860.11968
180.145841.12020.13358
19-0.03642-0.27970.609674
20-0.151991-1.16750.87614
21-0.214471-1.64740.947602
22-0.073163-0.5620.711869
230.1379091.05930.146891
240.2672392.05270.022273
25-0.013273-0.1020.540429
26-0.132082-1.01450.842766
27-0.160084-1.22960.888142
28-0.005503-0.04230.516788
290.0357720.27480.392226
300.0284880.21880.413772
31-0.09032-0.69380.754724
32-0.174814-1.34280.907755
33-0.110715-0.85040.800736
34-0.024118-0.18530.573167
350.0456460.35060.363564
36-0.032535-0.24990.598235
37-0.031564-0.24240.595362
38-0.138718-1.06550.854508
39-0.100032-0.76840.777332
40-0.011007-0.08450.533545
410.0187760.14420.442908
42-0.057948-0.44510.671063
43-0.06426-0.49360.688287
44-0.095986-0.73730.768063
45-0.074943-0.57570.71648
460.0016190.01240.495061
47-0.023309-0.1790.570739







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3371642.58980.006039
1-0.208433-1.6010.942641
2-0.143375-1.10130.862377
30.0237380.18230.427972
40.1204140.92490.179387
50.3185792.44710.0087
6-0.201499-1.54770.936484
7-0.148451-1.14030.870611
80.0258810.19880.421553
9-0.030697-0.23580.592793
100.427093.28050.000871
110.1142920.87790.191782
120.2053441.57730.060039
13-0.053251-0.4090.657999
14-0.076724-0.58930.721055
150.0241590.18560.426709
16-0.136205-1.04620.850135
17-0.105471-0.81010.789441
18-0.115161-0.88460.81001
190.1183110.90880.183587
200.0192710.1480.441414
21-0.105004-0.80660.788418
22-0.064096-0.49230.687845
23-0.030018-0.23060.590779
24-0.213678-1.64130.946972
25-0.076294-0.5860.719954
260.0112280.08620.465783
270.1144380.8790.19148
28-0.036382-0.27950.609563
29-0.053217-0.40880.657906
300.0757330.58170.281487
31-0.069327-0.53250.701814
320.0045310.03480.486176
33-0.048706-0.37410.64517
34-0.056684-0.43540.66757
35-0.024495-0.18810.574296
360.0447280.34360.366198
370.0481020.36950.356546
38-0.085383-0.65580.742762
39-0.024547-0.18850.574452
40-0.050481-0.38780.650204
410.0326720.2510.401359
420.0343410.26380.396435
43-0.117801-0.90480.815387
440.0416340.31980.375125
45-0.012505-0.09610.538098
460.0004480.00340.498632
47-0.070866-0.54430.705868

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.337164 & 2.5898 & 0.006039 \tabularnewline
1 & -0.208433 & -1.601 & 0.942641 \tabularnewline
2 & -0.143375 & -1.1013 & 0.862377 \tabularnewline
3 & 0.023738 & 0.1823 & 0.427972 \tabularnewline
4 & 0.120414 & 0.9249 & 0.179387 \tabularnewline
5 & 0.318579 & 2.4471 & 0.0087 \tabularnewline
6 & -0.201499 & -1.5477 & 0.936484 \tabularnewline
7 & -0.148451 & -1.1403 & 0.870611 \tabularnewline
8 & 0.025881 & 0.1988 & 0.421553 \tabularnewline
9 & -0.030697 & -0.2358 & 0.592793 \tabularnewline
10 & 0.42709 & 3.2805 & 0.000871 \tabularnewline
11 & 0.114292 & 0.8779 & 0.191782 \tabularnewline
12 & 0.205344 & 1.5773 & 0.060039 \tabularnewline
13 & -0.053251 & -0.409 & 0.657999 \tabularnewline
14 & -0.076724 & -0.5893 & 0.721055 \tabularnewline
15 & 0.024159 & 0.1856 & 0.426709 \tabularnewline
16 & -0.136205 & -1.0462 & 0.850135 \tabularnewline
17 & -0.105471 & -0.8101 & 0.789441 \tabularnewline
18 & -0.115161 & -0.8846 & 0.81001 \tabularnewline
19 & 0.118311 & 0.9088 & 0.183587 \tabularnewline
20 & 0.019271 & 0.148 & 0.441414 \tabularnewline
21 & -0.105004 & -0.8066 & 0.788418 \tabularnewline
22 & -0.064096 & -0.4923 & 0.687845 \tabularnewline
23 & -0.030018 & -0.2306 & 0.590779 \tabularnewline
24 & -0.213678 & -1.6413 & 0.946972 \tabularnewline
25 & -0.076294 & -0.586 & 0.719954 \tabularnewline
26 & 0.011228 & 0.0862 & 0.465783 \tabularnewline
27 & 0.114438 & 0.879 & 0.19148 \tabularnewline
28 & -0.036382 & -0.2795 & 0.609563 \tabularnewline
29 & -0.053217 & -0.4088 & 0.657906 \tabularnewline
30 & 0.075733 & 0.5817 & 0.281487 \tabularnewline
31 & -0.069327 & -0.5325 & 0.701814 \tabularnewline
32 & 0.004531 & 0.0348 & 0.486176 \tabularnewline
33 & -0.048706 & -0.3741 & 0.64517 \tabularnewline
34 & -0.056684 & -0.4354 & 0.66757 \tabularnewline
35 & -0.024495 & -0.1881 & 0.574296 \tabularnewline
36 & 0.044728 & 0.3436 & 0.366198 \tabularnewline
37 & 0.048102 & 0.3695 & 0.356546 \tabularnewline
38 & -0.085383 & -0.6558 & 0.742762 \tabularnewline
39 & -0.024547 & -0.1885 & 0.574452 \tabularnewline
40 & -0.050481 & -0.3878 & 0.650204 \tabularnewline
41 & 0.032672 & 0.251 & 0.401359 \tabularnewline
42 & 0.034341 & 0.2638 & 0.396435 \tabularnewline
43 & -0.117801 & -0.9048 & 0.815387 \tabularnewline
44 & 0.041634 & 0.3198 & 0.375125 \tabularnewline
45 & -0.012505 & -0.0961 & 0.538098 \tabularnewline
46 & 0.000448 & 0.0034 & 0.498632 \tabularnewline
47 & -0.070866 & -0.5443 & 0.705868 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2817&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]0.337164[/C][C]2.5898[/C][C]0.006039[/C][/ROW]
[ROW][C]1[/C][C]-0.208433[/C][C]-1.601[/C][C]0.942641[/C][/ROW]
[ROW][C]2[/C][C]-0.143375[/C][C]-1.1013[/C][C]0.862377[/C][/ROW]
[ROW][C]3[/C][C]0.023738[/C][C]0.1823[/C][C]0.427972[/C][/ROW]
[ROW][C]4[/C][C]0.120414[/C][C]0.9249[/C][C]0.179387[/C][/ROW]
[ROW][C]5[/C][C]0.318579[/C][C]2.4471[/C][C]0.0087[/C][/ROW]
[ROW][C]6[/C][C]-0.201499[/C][C]-1.5477[/C][C]0.936484[/C][/ROW]
[ROW][C]7[/C][C]-0.148451[/C][C]-1.1403[/C][C]0.870611[/C][/ROW]
[ROW][C]8[/C][C]0.025881[/C][C]0.1988[/C][C]0.421553[/C][/ROW]
[ROW][C]9[/C][C]-0.030697[/C][C]-0.2358[/C][C]0.592793[/C][/ROW]
[ROW][C]10[/C][C]0.42709[/C][C]3.2805[/C][C]0.000871[/C][/ROW]
[ROW][C]11[/C][C]0.114292[/C][C]0.8779[/C][C]0.191782[/C][/ROW]
[ROW][C]12[/C][C]0.205344[/C][C]1.5773[/C][C]0.060039[/C][/ROW]
[ROW][C]13[/C][C]-0.053251[/C][C]-0.409[/C][C]0.657999[/C][/ROW]
[ROW][C]14[/C][C]-0.076724[/C][C]-0.5893[/C][C]0.721055[/C][/ROW]
[ROW][C]15[/C][C]0.024159[/C][C]0.1856[/C][C]0.426709[/C][/ROW]
[ROW][C]16[/C][C]-0.136205[/C][C]-1.0462[/C][C]0.850135[/C][/ROW]
[ROW][C]17[/C][C]-0.105471[/C][C]-0.8101[/C][C]0.789441[/C][/ROW]
[ROW][C]18[/C][C]-0.115161[/C][C]-0.8846[/C][C]0.81001[/C][/ROW]
[ROW][C]19[/C][C]0.118311[/C][C]0.9088[/C][C]0.183587[/C][/ROW]
[ROW][C]20[/C][C]0.019271[/C][C]0.148[/C][C]0.441414[/C][/ROW]
[ROW][C]21[/C][C]-0.105004[/C][C]-0.8066[/C][C]0.788418[/C][/ROW]
[ROW][C]22[/C][C]-0.064096[/C][C]-0.4923[/C][C]0.687845[/C][/ROW]
[ROW][C]23[/C][C]-0.030018[/C][C]-0.2306[/C][C]0.590779[/C][/ROW]
[ROW][C]24[/C][C]-0.213678[/C][C]-1.6413[/C][C]0.946972[/C][/ROW]
[ROW][C]25[/C][C]-0.076294[/C][C]-0.586[/C][C]0.719954[/C][/ROW]
[ROW][C]26[/C][C]0.011228[/C][C]0.0862[/C][C]0.465783[/C][/ROW]
[ROW][C]27[/C][C]0.114438[/C][C]0.879[/C][C]0.19148[/C][/ROW]
[ROW][C]28[/C][C]-0.036382[/C][C]-0.2795[/C][C]0.609563[/C][/ROW]
[ROW][C]29[/C][C]-0.053217[/C][C]-0.4088[/C][C]0.657906[/C][/ROW]
[ROW][C]30[/C][C]0.075733[/C][C]0.5817[/C][C]0.281487[/C][/ROW]
[ROW][C]31[/C][C]-0.069327[/C][C]-0.5325[/C][C]0.701814[/C][/ROW]
[ROW][C]32[/C][C]0.004531[/C][C]0.0348[/C][C]0.486176[/C][/ROW]
[ROW][C]33[/C][C]-0.048706[/C][C]-0.3741[/C][C]0.64517[/C][/ROW]
[ROW][C]34[/C][C]-0.056684[/C][C]-0.4354[/C][C]0.66757[/C][/ROW]
[ROW][C]35[/C][C]-0.024495[/C][C]-0.1881[/C][C]0.574296[/C][/ROW]
[ROW][C]36[/C][C]0.044728[/C][C]0.3436[/C][C]0.366198[/C][/ROW]
[ROW][C]37[/C][C]0.048102[/C][C]0.3695[/C][C]0.356546[/C][/ROW]
[ROW][C]38[/C][C]-0.085383[/C][C]-0.6558[/C][C]0.742762[/C][/ROW]
[ROW][C]39[/C][C]-0.024547[/C][C]-0.1885[/C][C]0.574452[/C][/ROW]
[ROW][C]40[/C][C]-0.050481[/C][C]-0.3878[/C][C]0.650204[/C][/ROW]
[ROW][C]41[/C][C]0.032672[/C][C]0.251[/C][C]0.401359[/C][/ROW]
[ROW][C]42[/C][C]0.034341[/C][C]0.2638[/C][C]0.396435[/C][/ROW]
[ROW][C]43[/C][C]-0.117801[/C][C]-0.9048[/C][C]0.815387[/C][/ROW]
[ROW][C]44[/C][C]0.041634[/C][C]0.3198[/C][C]0.375125[/C][/ROW]
[ROW][C]45[/C][C]-0.012505[/C][C]-0.0961[/C][C]0.538098[/C][/ROW]
[ROW][C]46[/C][C]0.000448[/C][C]0.0034[/C][C]0.498632[/C][/ROW]
[ROW][C]47[/C][C]-0.070866[/C][C]-0.5443[/C][C]0.705868[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2817&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2817&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
00.3371642.58980.006039
1-0.208433-1.6010.942641
2-0.143375-1.10130.862377
30.0237380.18230.427972
40.1204140.92490.179387
50.3185792.44710.0087
6-0.201499-1.54770.936484
7-0.148451-1.14030.870611
80.0258810.19880.421553
9-0.030697-0.23580.592793
100.427093.28050.000871
110.1142920.87790.191782
120.2053441.57730.060039
13-0.053251-0.4090.657999
14-0.076724-0.58930.721055
150.0241590.18560.426709
16-0.136205-1.04620.850135
17-0.105471-0.81010.789441
18-0.115161-0.88460.81001
190.1183110.90880.183587
200.0192710.1480.441414
21-0.105004-0.80660.788418
22-0.064096-0.49230.687845
23-0.030018-0.23060.590779
24-0.213678-1.64130.946972
25-0.076294-0.5860.719954
260.0112280.08620.465783
270.1144380.8790.19148
28-0.036382-0.27950.609563
29-0.053217-0.40880.657906
300.0757330.58170.281487
31-0.069327-0.53250.701814
320.0045310.03480.486176
33-0.048706-0.37410.64517
34-0.056684-0.43540.66757
35-0.024495-0.18810.574296
360.0447280.34360.366198
370.0481020.36950.356546
38-0.085383-0.65580.742762
39-0.024547-0.18850.574452
40-0.050481-0.38780.650204
410.0326720.2510.401359
420.0343410.26380.396435
43-0.117801-0.90480.815387
440.0416340.31980.375125
45-0.012505-0.09610.538098
460.0004480.00340.498632
47-0.070866-0.54430.705868



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