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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, 28 Nov 2007 04:57:10 -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/Nov/28/t1196250575yif58blj71ylm7m.htm/, Retrieved Thu, 02 May 2024 12:21:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7039, Retrieved Thu, 02 May 2024 12:21:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact219
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [gdegfv] [2007-11-28 11:57:10] [246ad84e93fbdd1336f5cbee368cde93] [Current]
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Dataseries X:
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.44
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.57
1.58
1.58
1.58
1.58
1.59
1.6
1.6
1.61
1.61
1.61
1.62
1.63
1.63
1.64
1.64
1.64
1.64
1.64
1.65
1.65
1.65
1.65




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=7039&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=7039&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7039&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
018.48530
10.9572068.12220
20.9108967.72920
30.8641177.33230
40.8166366.92940
50.771956.55020
60.7244526.14720
70.6741415.72030
80.6231285.28741e-06
90.5695364.83274e-06
100.5189754.40361.8e-05
110.4681793.97268.3e-05
120.418073.54740.000344
130.3691173.13210.001255
140.3196962.71270.004171
150.267932.27350.012991
160.2194291.86190.033348
170.1709291.45040.075648
180.1256931.06650.144871
190.0853790.72450.235564
200.0505210.42870.334716
210.0156630.13290.447319
22-0.019195-0.16290.564463
23-0.050788-0.43090.666104
24-0.052996-0.44970.672856
25-0.055204-0.46840.679552
26-0.057412-0.48720.686188
27-0.059621-0.50590.692763
28-0.061829-0.52460.699275
29-0.064037-0.54340.705724
30-0.066245-0.56210.712106
31-0.076891-0.65240.741902
32-0.090583-0.76860.777685
33-0.10451-0.88680.81093
34-0.118437-1.0050.840862
35-0.132364-1.12310.867447
36-0.147229-1.24930.892195
37-0.163265-1.38530.914889
38-0.179536-1.52340.933982
39-0.196744-1.66940.950312
40-0.214187-1.81740.963344
41-0.231629-1.96540.973389
42-0.250009-2.12140.981334
43-0.269561-2.28730.987441
44-0.289348-2.45520.991751
45-0.310071-2.6310.994797
46-0.33103-2.80890.996802
47-0.351988-2.98670.998074

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.4853 & 0 \tabularnewline
1 & 0.957206 & 8.1222 & 0 \tabularnewline
2 & 0.910896 & 7.7292 & 0 \tabularnewline
3 & 0.864117 & 7.3323 & 0 \tabularnewline
4 & 0.816636 & 6.9294 & 0 \tabularnewline
5 & 0.77195 & 6.5502 & 0 \tabularnewline
6 & 0.724452 & 6.1472 & 0 \tabularnewline
7 & 0.674141 & 5.7203 & 0 \tabularnewline
8 & 0.623128 & 5.2874 & 1e-06 \tabularnewline
9 & 0.569536 & 4.8327 & 4e-06 \tabularnewline
10 & 0.518975 & 4.4036 & 1.8e-05 \tabularnewline
11 & 0.468179 & 3.9726 & 8.3e-05 \tabularnewline
12 & 0.41807 & 3.5474 & 0.000344 \tabularnewline
13 & 0.369117 & 3.1321 & 0.001255 \tabularnewline
14 & 0.319696 & 2.7127 & 0.004171 \tabularnewline
15 & 0.26793 & 2.2735 & 0.012991 \tabularnewline
16 & 0.219429 & 1.8619 & 0.033348 \tabularnewline
17 & 0.170929 & 1.4504 & 0.075648 \tabularnewline
18 & 0.125693 & 1.0665 & 0.144871 \tabularnewline
19 & 0.085379 & 0.7245 & 0.235564 \tabularnewline
20 & 0.050521 & 0.4287 & 0.334716 \tabularnewline
21 & 0.015663 & 0.1329 & 0.447319 \tabularnewline
22 & -0.019195 & -0.1629 & 0.564463 \tabularnewline
23 & -0.050788 & -0.4309 & 0.666104 \tabularnewline
24 & -0.052996 & -0.4497 & 0.672856 \tabularnewline
25 & -0.055204 & -0.4684 & 0.679552 \tabularnewline
26 & -0.057412 & -0.4872 & 0.686188 \tabularnewline
27 & -0.059621 & -0.5059 & 0.692763 \tabularnewline
28 & -0.061829 & -0.5246 & 0.699275 \tabularnewline
29 & -0.064037 & -0.5434 & 0.705724 \tabularnewline
30 & -0.066245 & -0.5621 & 0.712106 \tabularnewline
31 & -0.076891 & -0.6524 & 0.741902 \tabularnewline
32 & -0.090583 & -0.7686 & 0.777685 \tabularnewline
33 & -0.10451 & -0.8868 & 0.81093 \tabularnewline
34 & -0.118437 & -1.005 & 0.840862 \tabularnewline
35 & -0.132364 & -1.1231 & 0.867447 \tabularnewline
36 & -0.147229 & -1.2493 & 0.892195 \tabularnewline
37 & -0.163265 & -1.3853 & 0.914889 \tabularnewline
38 & -0.179536 & -1.5234 & 0.933982 \tabularnewline
39 & -0.196744 & -1.6694 & 0.950312 \tabularnewline
40 & -0.214187 & -1.8174 & 0.963344 \tabularnewline
41 & -0.231629 & -1.9654 & 0.973389 \tabularnewline
42 & -0.250009 & -2.1214 & 0.981334 \tabularnewline
43 & -0.269561 & -2.2873 & 0.987441 \tabularnewline
44 & -0.289348 & -2.4552 & 0.991751 \tabularnewline
45 & -0.310071 & -2.631 & 0.994797 \tabularnewline
46 & -0.33103 & -2.8089 & 0.996802 \tabularnewline
47 & -0.351988 & -2.9867 & 0.998074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7039&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]8.4853[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.957206[/C][C]8.1222[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.910896[/C][C]7.7292[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.864117[/C][C]7.3323[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.816636[/C][C]6.9294[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.77195[/C][C]6.5502[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.724452[/C][C]6.1472[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.674141[/C][C]5.7203[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.623128[/C][C]5.2874[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.569536[/C][C]4.8327[/C][C]4e-06[/C][/ROW]
[ROW][C]10[/C][C]0.518975[/C][C]4.4036[/C][C]1.8e-05[/C][/ROW]
[ROW][C]11[/C][C]0.468179[/C][C]3.9726[/C][C]8.3e-05[/C][/ROW]
[ROW][C]12[/C][C]0.41807[/C][C]3.5474[/C][C]0.000344[/C][/ROW]
[ROW][C]13[/C][C]0.369117[/C][C]3.1321[/C][C]0.001255[/C][/ROW]
[ROW][C]14[/C][C]0.319696[/C][C]2.7127[/C][C]0.004171[/C][/ROW]
[ROW][C]15[/C][C]0.26793[/C][C]2.2735[/C][C]0.012991[/C][/ROW]
[ROW][C]16[/C][C]0.219429[/C][C]1.8619[/C][C]0.033348[/C][/ROW]
[ROW][C]17[/C][C]0.170929[/C][C]1.4504[/C][C]0.075648[/C][/ROW]
[ROW][C]18[/C][C]0.125693[/C][C]1.0665[/C][C]0.144871[/C][/ROW]
[ROW][C]19[/C][C]0.085379[/C][C]0.7245[/C][C]0.235564[/C][/ROW]
[ROW][C]20[/C][C]0.050521[/C][C]0.4287[/C][C]0.334716[/C][/ROW]
[ROW][C]21[/C][C]0.015663[/C][C]0.1329[/C][C]0.447319[/C][/ROW]
[ROW][C]22[/C][C]-0.019195[/C][C]-0.1629[/C][C]0.564463[/C][/ROW]
[ROW][C]23[/C][C]-0.050788[/C][C]-0.4309[/C][C]0.666104[/C][/ROW]
[ROW][C]24[/C][C]-0.052996[/C][C]-0.4497[/C][C]0.672856[/C][/ROW]
[ROW][C]25[/C][C]-0.055204[/C][C]-0.4684[/C][C]0.679552[/C][/ROW]
[ROW][C]26[/C][C]-0.057412[/C][C]-0.4872[/C][C]0.686188[/C][/ROW]
[ROW][C]27[/C][C]-0.059621[/C][C]-0.5059[/C][C]0.692763[/C][/ROW]
[ROW][C]28[/C][C]-0.061829[/C][C]-0.5246[/C][C]0.699275[/C][/ROW]
[ROW][C]29[/C][C]-0.064037[/C][C]-0.5434[/C][C]0.705724[/C][/ROW]
[ROW][C]30[/C][C]-0.066245[/C][C]-0.5621[/C][C]0.712106[/C][/ROW]
[ROW][C]31[/C][C]-0.076891[/C][C]-0.6524[/C][C]0.741902[/C][/ROW]
[ROW][C]32[/C][C]-0.090583[/C][C]-0.7686[/C][C]0.777685[/C][/ROW]
[ROW][C]33[/C][C]-0.10451[/C][C]-0.8868[/C][C]0.81093[/C][/ROW]
[ROW][C]34[/C][C]-0.118437[/C][C]-1.005[/C][C]0.840862[/C][/ROW]
[ROW][C]35[/C][C]-0.132364[/C][C]-1.1231[/C][C]0.867447[/C][/ROW]
[ROW][C]36[/C][C]-0.147229[/C][C]-1.2493[/C][C]0.892195[/C][/ROW]
[ROW][C]37[/C][C]-0.163265[/C][C]-1.3853[/C][C]0.914889[/C][/ROW]
[ROW][C]38[/C][C]-0.179536[/C][C]-1.5234[/C][C]0.933982[/C][/ROW]
[ROW][C]39[/C][C]-0.196744[/C][C]-1.6694[/C][C]0.950312[/C][/ROW]
[ROW][C]40[/C][C]-0.214187[/C][C]-1.8174[/C][C]0.963344[/C][/ROW]
[ROW][C]41[/C][C]-0.231629[/C][C]-1.9654[/C][C]0.973389[/C][/ROW]
[ROW][C]42[/C][C]-0.250009[/C][C]-2.1214[/C][C]0.981334[/C][/ROW]
[ROW][C]43[/C][C]-0.269561[/C][C]-2.2873[/C][C]0.987441[/C][/ROW]
[ROW][C]44[/C][C]-0.289348[/C][C]-2.4552[/C][C]0.991751[/C][/ROW]
[ROW][C]45[/C][C]-0.310071[/C][C]-2.631[/C][C]0.994797[/C][/ROW]
[ROW][C]46[/C][C]-0.33103[/C][C]-2.8089[/C][C]0.996802[/C][/ROW]
[ROW][C]47[/C][C]-0.351988[/C][C]-2.9867[/C][C]0.998074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7039&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7039&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
018.48530
10.9572068.12220
20.9108967.72920
30.8641177.33230
40.8166366.92940
50.771956.55020
60.7244526.14720
70.6741415.72030
80.6231285.28741e-06
90.5695364.83274e-06
100.5189754.40361.8e-05
110.4681793.97268.3e-05
120.418073.54740.000344
130.3691173.13210.001255
140.3196962.71270.004171
150.267932.27350.012991
160.2194291.86190.033348
170.1709291.45040.075648
180.1256931.06650.144871
190.0853790.72450.235564
200.0505210.42870.334716
210.0156630.13290.447319
22-0.019195-0.16290.564463
23-0.050788-0.43090.666104
24-0.052996-0.44970.672856
25-0.055204-0.46840.679552
26-0.057412-0.48720.686188
27-0.059621-0.50590.692763
28-0.061829-0.52460.699275
29-0.064037-0.54340.705724
30-0.066245-0.56210.712106
31-0.076891-0.65240.741902
32-0.090583-0.76860.777685
33-0.10451-0.88680.81093
34-0.118437-1.0050.840862
35-0.132364-1.12310.867447
36-0.147229-1.24930.892195
37-0.163265-1.38530.914889
38-0.179536-1.52340.933982
39-0.196744-1.66940.950312
40-0.214187-1.81740.963344
41-0.231629-1.96540.973389
42-0.250009-2.12140.981334
43-0.269561-2.28730.987441
44-0.289348-2.45520.991751
45-0.310071-2.6310.994797
46-0.33103-2.80890.996802
47-0.351988-2.98670.998074







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9572068.12220
1-0.063839-0.54170.705149
2-0.028204-0.23930.59423
3-0.033162-0.28140.610389
40.00810.06870.472697
5-0.061597-0.52270.698595
6-0.0589-0.49980.690625
7-0.036397-0.30880.620832
8-0.060199-0.51080.694476
90.002960.02510.490017
10-0.03985-0.33810.631877
11-0.024188-0.20520.581019
12-0.023229-0.19710.577851
13-0.03768-0.31970.62495
14-0.066598-0.56510.71312
150.0001840.00160.49938
16-0.041572-0.35280.637348
17-0.004675-0.03970.515768
180.0155260.13170.447778
190.0283250.24030.405374
20-0.041174-0.34940.636086
21-0.035144-0.29820.616799
220.0044520.03780.484985
230.3180962.69910.004329
24-0.048949-0.41530.660439
25-0.028724-0.24370.595935
26-0.023121-0.19620.577493
270.0153190.130.44847
28-0.039041-0.33130.629301
29-0.041904-0.35560.638398
30-0.139991-1.18790.880605
31-0.075945-0.64440.739322
32-0.008889-0.07540.529956
33-0.03585-0.30420.619073
34-0.032277-0.27390.607518
35-0.037221-0.31580.623478
36-0.038986-0.33080.629125
37-0.040636-0.34480.634378
38-0.008743-0.07420.529467
39-0.049767-0.42230.662962
40-0.014882-0.12630.550069
41-0.010074-0.08550.533941
420.0005240.00440.498233
43-0.048385-0.41060.658693
44-0.045433-0.38550.649504
45-0.023706-0.20120.579428
460.1007260.85470.19778
47-0.059917-0.50840.69364

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.957206 & 8.1222 & 0 \tabularnewline
1 & -0.063839 & -0.5417 & 0.705149 \tabularnewline
2 & -0.028204 & -0.2393 & 0.59423 \tabularnewline
3 & -0.033162 & -0.2814 & 0.610389 \tabularnewline
4 & 0.0081 & 0.0687 & 0.472697 \tabularnewline
5 & -0.061597 & -0.5227 & 0.698595 \tabularnewline
6 & -0.0589 & -0.4998 & 0.690625 \tabularnewline
7 & -0.036397 & -0.3088 & 0.620832 \tabularnewline
8 & -0.060199 & -0.5108 & 0.694476 \tabularnewline
9 & 0.00296 & 0.0251 & 0.490017 \tabularnewline
10 & -0.03985 & -0.3381 & 0.631877 \tabularnewline
11 & -0.024188 & -0.2052 & 0.581019 \tabularnewline
12 & -0.023229 & -0.1971 & 0.577851 \tabularnewline
13 & -0.03768 & -0.3197 & 0.62495 \tabularnewline
14 & -0.066598 & -0.5651 & 0.71312 \tabularnewline
15 & 0.000184 & 0.0016 & 0.49938 \tabularnewline
16 & -0.041572 & -0.3528 & 0.637348 \tabularnewline
17 & -0.004675 & -0.0397 & 0.515768 \tabularnewline
18 & 0.015526 & 0.1317 & 0.447778 \tabularnewline
19 & 0.028325 & 0.2403 & 0.405374 \tabularnewline
20 & -0.041174 & -0.3494 & 0.636086 \tabularnewline
21 & -0.035144 & -0.2982 & 0.616799 \tabularnewline
22 & 0.004452 & 0.0378 & 0.484985 \tabularnewline
23 & 0.318096 & 2.6991 & 0.004329 \tabularnewline
24 & -0.048949 & -0.4153 & 0.660439 \tabularnewline
25 & -0.028724 & -0.2437 & 0.595935 \tabularnewline
26 & -0.023121 & -0.1962 & 0.577493 \tabularnewline
27 & 0.015319 & 0.13 & 0.44847 \tabularnewline
28 & -0.039041 & -0.3313 & 0.629301 \tabularnewline
29 & -0.041904 & -0.3556 & 0.638398 \tabularnewline
30 & -0.139991 & -1.1879 & 0.880605 \tabularnewline
31 & -0.075945 & -0.6444 & 0.739322 \tabularnewline
32 & -0.008889 & -0.0754 & 0.529956 \tabularnewline
33 & -0.03585 & -0.3042 & 0.619073 \tabularnewline
34 & -0.032277 & -0.2739 & 0.607518 \tabularnewline
35 & -0.037221 & -0.3158 & 0.623478 \tabularnewline
36 & -0.038986 & -0.3308 & 0.629125 \tabularnewline
37 & -0.040636 & -0.3448 & 0.634378 \tabularnewline
38 & -0.008743 & -0.0742 & 0.529467 \tabularnewline
39 & -0.049767 & -0.4223 & 0.662962 \tabularnewline
40 & -0.014882 & -0.1263 & 0.550069 \tabularnewline
41 & -0.010074 & -0.0855 & 0.533941 \tabularnewline
42 & 0.000524 & 0.0044 & 0.498233 \tabularnewline
43 & -0.048385 & -0.4106 & 0.658693 \tabularnewline
44 & -0.045433 & -0.3855 & 0.649504 \tabularnewline
45 & -0.023706 & -0.2012 & 0.579428 \tabularnewline
46 & 0.100726 & 0.8547 & 0.19778 \tabularnewline
47 & -0.059917 & -0.5084 & 0.69364 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7039&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]0.957206[/C][C]8.1222[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.063839[/C][C]-0.5417[/C][C]0.705149[/C][/ROW]
[ROW][C]2[/C][C]-0.028204[/C][C]-0.2393[/C][C]0.59423[/C][/ROW]
[ROW][C]3[/C][C]-0.033162[/C][C]-0.2814[/C][C]0.610389[/C][/ROW]
[ROW][C]4[/C][C]0.0081[/C][C]0.0687[/C][C]0.472697[/C][/ROW]
[ROW][C]5[/C][C]-0.061597[/C][C]-0.5227[/C][C]0.698595[/C][/ROW]
[ROW][C]6[/C][C]-0.0589[/C][C]-0.4998[/C][C]0.690625[/C][/ROW]
[ROW][C]7[/C][C]-0.036397[/C][C]-0.3088[/C][C]0.620832[/C][/ROW]
[ROW][C]8[/C][C]-0.060199[/C][C]-0.5108[/C][C]0.694476[/C][/ROW]
[ROW][C]9[/C][C]0.00296[/C][C]0.0251[/C][C]0.490017[/C][/ROW]
[ROW][C]10[/C][C]-0.03985[/C][C]-0.3381[/C][C]0.631877[/C][/ROW]
[ROW][C]11[/C][C]-0.024188[/C][C]-0.2052[/C][C]0.581019[/C][/ROW]
[ROW][C]12[/C][C]-0.023229[/C][C]-0.1971[/C][C]0.577851[/C][/ROW]
[ROW][C]13[/C][C]-0.03768[/C][C]-0.3197[/C][C]0.62495[/C][/ROW]
[ROW][C]14[/C][C]-0.066598[/C][C]-0.5651[/C][C]0.71312[/C][/ROW]
[ROW][C]15[/C][C]0.000184[/C][C]0.0016[/C][C]0.49938[/C][/ROW]
[ROW][C]16[/C][C]-0.041572[/C][C]-0.3528[/C][C]0.637348[/C][/ROW]
[ROW][C]17[/C][C]-0.004675[/C][C]-0.0397[/C][C]0.515768[/C][/ROW]
[ROW][C]18[/C][C]0.015526[/C][C]0.1317[/C][C]0.447778[/C][/ROW]
[ROW][C]19[/C][C]0.028325[/C][C]0.2403[/C][C]0.405374[/C][/ROW]
[ROW][C]20[/C][C]-0.041174[/C][C]-0.3494[/C][C]0.636086[/C][/ROW]
[ROW][C]21[/C][C]-0.035144[/C][C]-0.2982[/C][C]0.616799[/C][/ROW]
[ROW][C]22[/C][C]0.004452[/C][C]0.0378[/C][C]0.484985[/C][/ROW]
[ROW][C]23[/C][C]0.318096[/C][C]2.6991[/C][C]0.004329[/C][/ROW]
[ROW][C]24[/C][C]-0.048949[/C][C]-0.4153[/C][C]0.660439[/C][/ROW]
[ROW][C]25[/C][C]-0.028724[/C][C]-0.2437[/C][C]0.595935[/C][/ROW]
[ROW][C]26[/C][C]-0.023121[/C][C]-0.1962[/C][C]0.577493[/C][/ROW]
[ROW][C]27[/C][C]0.015319[/C][C]0.13[/C][C]0.44847[/C][/ROW]
[ROW][C]28[/C][C]-0.039041[/C][C]-0.3313[/C][C]0.629301[/C][/ROW]
[ROW][C]29[/C][C]-0.041904[/C][C]-0.3556[/C][C]0.638398[/C][/ROW]
[ROW][C]30[/C][C]-0.139991[/C][C]-1.1879[/C][C]0.880605[/C][/ROW]
[ROW][C]31[/C][C]-0.075945[/C][C]-0.6444[/C][C]0.739322[/C][/ROW]
[ROW][C]32[/C][C]-0.008889[/C][C]-0.0754[/C][C]0.529956[/C][/ROW]
[ROW][C]33[/C][C]-0.03585[/C][C]-0.3042[/C][C]0.619073[/C][/ROW]
[ROW][C]34[/C][C]-0.032277[/C][C]-0.2739[/C][C]0.607518[/C][/ROW]
[ROW][C]35[/C][C]-0.037221[/C][C]-0.3158[/C][C]0.623478[/C][/ROW]
[ROW][C]36[/C][C]-0.038986[/C][C]-0.3308[/C][C]0.629125[/C][/ROW]
[ROW][C]37[/C][C]-0.040636[/C][C]-0.3448[/C][C]0.634378[/C][/ROW]
[ROW][C]38[/C][C]-0.008743[/C][C]-0.0742[/C][C]0.529467[/C][/ROW]
[ROW][C]39[/C][C]-0.049767[/C][C]-0.4223[/C][C]0.662962[/C][/ROW]
[ROW][C]40[/C][C]-0.014882[/C][C]-0.1263[/C][C]0.550069[/C][/ROW]
[ROW][C]41[/C][C]-0.010074[/C][C]-0.0855[/C][C]0.533941[/C][/ROW]
[ROW][C]42[/C][C]0.000524[/C][C]0.0044[/C][C]0.498233[/C][/ROW]
[ROW][C]43[/C][C]-0.048385[/C][C]-0.4106[/C][C]0.658693[/C][/ROW]
[ROW][C]44[/C][C]-0.045433[/C][C]-0.3855[/C][C]0.649504[/C][/ROW]
[ROW][C]45[/C][C]-0.023706[/C][C]-0.2012[/C][C]0.579428[/C][/ROW]
[ROW][C]46[/C][C]0.100726[/C][C]0.8547[/C][C]0.19778[/C][/ROW]
[ROW][C]47[/C][C]-0.059917[/C][C]-0.5084[/C][C]0.69364[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7039&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7039&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
00.9572068.12220
1-0.063839-0.54170.705149
2-0.028204-0.23930.59423
3-0.033162-0.28140.610389
40.00810.06870.472697
5-0.061597-0.52270.698595
6-0.0589-0.49980.690625
7-0.036397-0.30880.620832
8-0.060199-0.51080.694476
90.002960.02510.490017
10-0.03985-0.33810.631877
11-0.024188-0.20520.581019
12-0.023229-0.19710.577851
13-0.03768-0.31970.62495
14-0.066598-0.56510.71312
150.0001840.00160.49938
16-0.041572-0.35280.637348
17-0.004675-0.03970.515768
180.0155260.13170.447778
190.0283250.24030.405374
20-0.041174-0.34940.636086
21-0.035144-0.29820.616799
220.0044520.03780.484985
230.3180962.69910.004329
24-0.048949-0.41530.660439
25-0.028724-0.24370.595935
26-0.023121-0.19620.577493
270.0153190.130.44847
28-0.039041-0.33130.629301
29-0.041904-0.35560.638398
30-0.139991-1.18790.880605
31-0.075945-0.64440.739322
32-0.008889-0.07540.529956
33-0.03585-0.30420.619073
34-0.032277-0.27390.607518
35-0.037221-0.31580.623478
36-0.038986-0.33080.629125
37-0.040636-0.34480.634378
38-0.008743-0.07420.529467
39-0.049767-0.42230.662962
40-0.014882-0.12630.550069
41-0.010074-0.08550.533941
420.0005240.00440.498233
43-0.048385-0.41060.658693
44-0.045433-0.38550.649504
45-0.023706-0.20120.579428
460.1007260.85470.19778
47-0.059917-0.50840.69364



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 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')