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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, 12 Dec 2007 04:31:15 -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/12/t1197458191ysem4j2clwvc6qv.htm/, Retrieved Thu, 02 May 2024 23:14:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3207, Retrieved Thu, 02 May 2024 23:14:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact247
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(P)ACF om differe...] [2007-12-12 11:31:15] [44cf2be50bc8700e14714598feda9df9] [Current]
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Dataseries X:
523000
519000
509000
512000
519000
517000
510000
509000
501000
507000
569000
580000
578000
565000
547000
555000
562000
561000
555000
544000
537000
543000
594000
611000
613000
611000
594000
595000
591000
589000
584000
573000
567000
569000
621000
629000
628000
612000
595000
597000
593000
590000
580000
574000
573000
573000
620000
626000
620000
588000
566000
557000
561000
549000
532000
526000
511000
499000
555000
565000
542000




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3207&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]2 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=3207&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3207&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.24321.88380.032219
2-0.171671-1.32980.905684
3-0.260556-2.01830.975979
4-0.256151-1.98410.97409
50.0218820.16950.432988
60.1558521.20720.116042
70.0576320.44640.328452
8-0.279706-2.16660.982876
9-0.293359-2.27230.986669
10-0.100329-0.77710.779938
110.2027691.57060.060763
120.6824135.28591e-06
130.1919421.48680.071155
14-0.116643-0.90350.815066
15-0.233049-1.80520.961969
16-0.206072-1.59620.942154
170.004350.03370.486618
180.0845380.65480.257541
190.0399220.30920.379106
20-0.209128-1.61990.94475
21-0.190812-1.4780.927683
22-0.0587-0.45470.674512
230.1404371.08780.140513
240.505483.91540.000117
250.1238260.95910.170667
26-0.148084-1.14710.872043
27-0.215602-1.670.94994
28-0.144477-1.11910.866224
290.0112740.08730.46535
300.0665260.51530.304114
310.0173550.13440.446756
32-0.172892-1.33920.907225
33-0.130544-1.01120.842007
34-0.045596-0.35320.637407
350.0850210.65860.256345
360.3539072.74130.004025
370.0916750.71010.240193
38-0.12186-0.94390.825503
39-0.151237-1.17150.876981
40-0.08844-0.68510.752025
41-0.006172-0.04780.518986
420.0718290.55640.290009
430.0279860.21680.414557
44-0.116809-0.90480.815404
45-0.097391-0.75440.773217
46-0.047968-0.37160.644236
470.0210510.16310.43551

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.2432 & 1.8838 & 0.032219 \tabularnewline
2 & -0.171671 & -1.3298 & 0.905684 \tabularnewline
3 & -0.260556 & -2.0183 & 0.975979 \tabularnewline
4 & -0.256151 & -1.9841 & 0.97409 \tabularnewline
5 & 0.021882 & 0.1695 & 0.432988 \tabularnewline
6 & 0.155852 & 1.2072 & 0.116042 \tabularnewline
7 & 0.057632 & 0.4464 & 0.328452 \tabularnewline
8 & -0.279706 & -2.1666 & 0.982876 \tabularnewline
9 & -0.293359 & -2.2723 & 0.986669 \tabularnewline
10 & -0.100329 & -0.7771 & 0.779938 \tabularnewline
11 & 0.202769 & 1.5706 & 0.060763 \tabularnewline
12 & 0.682413 & 5.2859 & 1e-06 \tabularnewline
13 & 0.191942 & 1.4868 & 0.071155 \tabularnewline
14 & -0.116643 & -0.9035 & 0.815066 \tabularnewline
15 & -0.233049 & -1.8052 & 0.961969 \tabularnewline
16 & -0.206072 & -1.5962 & 0.942154 \tabularnewline
17 & 0.00435 & 0.0337 & 0.486618 \tabularnewline
18 & 0.084538 & 0.6548 & 0.257541 \tabularnewline
19 & 0.039922 & 0.3092 & 0.379106 \tabularnewline
20 & -0.209128 & -1.6199 & 0.94475 \tabularnewline
21 & -0.190812 & -1.478 & 0.927683 \tabularnewline
22 & -0.0587 & -0.4547 & 0.674512 \tabularnewline
23 & 0.140437 & 1.0878 & 0.140513 \tabularnewline
24 & 0.50548 & 3.9154 & 0.000117 \tabularnewline
25 & 0.123826 & 0.9591 & 0.170667 \tabularnewline
26 & -0.148084 & -1.1471 & 0.872043 \tabularnewline
27 & -0.215602 & -1.67 & 0.94994 \tabularnewline
28 & -0.144477 & -1.1191 & 0.866224 \tabularnewline
29 & 0.011274 & 0.0873 & 0.46535 \tabularnewline
30 & 0.066526 & 0.5153 & 0.304114 \tabularnewline
31 & 0.017355 & 0.1344 & 0.446756 \tabularnewline
32 & -0.172892 & -1.3392 & 0.907225 \tabularnewline
33 & -0.130544 & -1.0112 & 0.842007 \tabularnewline
34 & -0.045596 & -0.3532 & 0.637407 \tabularnewline
35 & 0.085021 & 0.6586 & 0.256345 \tabularnewline
36 & 0.353907 & 2.7413 & 0.004025 \tabularnewline
37 & 0.091675 & 0.7101 & 0.240193 \tabularnewline
38 & -0.12186 & -0.9439 & 0.825503 \tabularnewline
39 & -0.151237 & -1.1715 & 0.876981 \tabularnewline
40 & -0.08844 & -0.6851 & 0.752025 \tabularnewline
41 & -0.006172 & -0.0478 & 0.518986 \tabularnewline
42 & 0.071829 & 0.5564 & 0.290009 \tabularnewline
43 & 0.027986 & 0.2168 & 0.414557 \tabularnewline
44 & -0.116809 & -0.9048 & 0.815404 \tabularnewline
45 & -0.097391 & -0.7544 & 0.773217 \tabularnewline
46 & -0.047968 & -0.3716 & 0.644236 \tabularnewline
47 & 0.021051 & 0.1631 & 0.43551 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3207&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.2432[/C][C]1.8838[/C][C]0.032219[/C][/ROW]
[ROW][C]2[/C][C]-0.171671[/C][C]-1.3298[/C][C]0.905684[/C][/ROW]
[ROW][C]3[/C][C]-0.260556[/C][C]-2.0183[/C][C]0.975979[/C][/ROW]
[ROW][C]4[/C][C]-0.256151[/C][C]-1.9841[/C][C]0.97409[/C][/ROW]
[ROW][C]5[/C][C]0.021882[/C][C]0.1695[/C][C]0.432988[/C][/ROW]
[ROW][C]6[/C][C]0.155852[/C][C]1.2072[/C][C]0.116042[/C][/ROW]
[ROW][C]7[/C][C]0.057632[/C][C]0.4464[/C][C]0.328452[/C][/ROW]
[ROW][C]8[/C][C]-0.279706[/C][C]-2.1666[/C][C]0.982876[/C][/ROW]
[ROW][C]9[/C][C]-0.293359[/C][C]-2.2723[/C][C]0.986669[/C][/ROW]
[ROW][C]10[/C][C]-0.100329[/C][C]-0.7771[/C][C]0.779938[/C][/ROW]
[ROW][C]11[/C][C]0.202769[/C][C]1.5706[/C][C]0.060763[/C][/ROW]
[ROW][C]12[/C][C]0.682413[/C][C]5.2859[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.191942[/C][C]1.4868[/C][C]0.071155[/C][/ROW]
[ROW][C]14[/C][C]-0.116643[/C][C]-0.9035[/C][C]0.815066[/C][/ROW]
[ROW][C]15[/C][C]-0.233049[/C][C]-1.8052[/C][C]0.961969[/C][/ROW]
[ROW][C]16[/C][C]-0.206072[/C][C]-1.5962[/C][C]0.942154[/C][/ROW]
[ROW][C]17[/C][C]0.00435[/C][C]0.0337[/C][C]0.486618[/C][/ROW]
[ROW][C]18[/C][C]0.084538[/C][C]0.6548[/C][C]0.257541[/C][/ROW]
[ROW][C]19[/C][C]0.039922[/C][C]0.3092[/C][C]0.379106[/C][/ROW]
[ROW][C]20[/C][C]-0.209128[/C][C]-1.6199[/C][C]0.94475[/C][/ROW]
[ROW][C]21[/C][C]-0.190812[/C][C]-1.478[/C][C]0.927683[/C][/ROW]
[ROW][C]22[/C][C]-0.0587[/C][C]-0.4547[/C][C]0.674512[/C][/ROW]
[ROW][C]23[/C][C]0.140437[/C][C]1.0878[/C][C]0.140513[/C][/ROW]
[ROW][C]24[/C][C]0.50548[/C][C]3.9154[/C][C]0.000117[/C][/ROW]
[ROW][C]25[/C][C]0.123826[/C][C]0.9591[/C][C]0.170667[/C][/ROW]
[ROW][C]26[/C][C]-0.148084[/C][C]-1.1471[/C][C]0.872043[/C][/ROW]
[ROW][C]27[/C][C]-0.215602[/C][C]-1.67[/C][C]0.94994[/C][/ROW]
[ROW][C]28[/C][C]-0.144477[/C][C]-1.1191[/C][C]0.866224[/C][/ROW]
[ROW][C]29[/C][C]0.011274[/C][C]0.0873[/C][C]0.46535[/C][/ROW]
[ROW][C]30[/C][C]0.066526[/C][C]0.5153[/C][C]0.304114[/C][/ROW]
[ROW][C]31[/C][C]0.017355[/C][C]0.1344[/C][C]0.446756[/C][/ROW]
[ROW][C]32[/C][C]-0.172892[/C][C]-1.3392[/C][C]0.907225[/C][/ROW]
[ROW][C]33[/C][C]-0.130544[/C][C]-1.0112[/C][C]0.842007[/C][/ROW]
[ROW][C]34[/C][C]-0.045596[/C][C]-0.3532[/C][C]0.637407[/C][/ROW]
[ROW][C]35[/C][C]0.085021[/C][C]0.6586[/C][C]0.256345[/C][/ROW]
[ROW][C]36[/C][C]0.353907[/C][C]2.7413[/C][C]0.004025[/C][/ROW]
[ROW][C]37[/C][C]0.091675[/C][C]0.7101[/C][C]0.240193[/C][/ROW]
[ROW][C]38[/C][C]-0.12186[/C][C]-0.9439[/C][C]0.825503[/C][/ROW]
[ROW][C]39[/C][C]-0.151237[/C][C]-1.1715[/C][C]0.876981[/C][/ROW]
[ROW][C]40[/C][C]-0.08844[/C][C]-0.6851[/C][C]0.752025[/C][/ROW]
[ROW][C]41[/C][C]-0.006172[/C][C]-0.0478[/C][C]0.518986[/C][/ROW]
[ROW][C]42[/C][C]0.071829[/C][C]0.5564[/C][C]0.290009[/C][/ROW]
[ROW][C]43[/C][C]0.027986[/C][C]0.2168[/C][C]0.414557[/C][/ROW]
[ROW][C]44[/C][C]-0.116809[/C][C]-0.9048[/C][C]0.815404[/C][/ROW]
[ROW][C]45[/C][C]-0.097391[/C][C]-0.7544[/C][C]0.773217[/C][/ROW]
[ROW][C]46[/C][C]-0.047968[/C][C]-0.3716[/C][C]0.644236[/C][/ROW]
[ROW][C]47[/C][C]0.021051[/C][C]0.1631[/C][C]0.43551[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3207&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3207&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
017.7460
10.24321.88380.032219
2-0.171671-1.32980.905684
3-0.260556-2.01830.975979
4-0.256151-1.98410.97409
50.0218820.16950.432988
60.1558521.20720.116042
70.0576320.44640.328452
8-0.279706-2.16660.982876
9-0.293359-2.27230.986669
10-0.100329-0.77710.779938
110.2027691.57060.060763
120.6824135.28591e-06
130.1919421.48680.071155
14-0.116643-0.90350.815066
15-0.233049-1.80520.961969
16-0.206072-1.59620.942154
170.004350.03370.486618
180.0845380.65480.257541
190.0399220.30920.379106
20-0.209128-1.61990.94475
21-0.190812-1.4780.927683
22-0.0587-0.45470.674512
230.1404371.08780.140513
240.505483.91540.000117
250.1238260.95910.170667
26-0.148084-1.14710.872043
27-0.215602-1.670.94994
28-0.144477-1.11910.866224
290.0112740.08730.46535
300.0665260.51530.304114
310.0173550.13440.446756
32-0.172892-1.33920.907225
33-0.130544-1.01120.842007
34-0.045596-0.35320.637407
350.0850210.65860.256345
360.3539072.74130.004025
370.0916750.71010.240193
38-0.12186-0.94390.825503
39-0.151237-1.17150.876981
40-0.08844-0.68510.752025
41-0.006172-0.04780.518986
420.0718290.55640.290009
430.0279860.21680.414557
44-0.116809-0.90480.815404
45-0.097391-0.75440.773217
46-0.047968-0.37160.644236
470.0210510.16310.43551







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.24321.88380.032219
1-0.245328-1.90030.968899
2-0.168395-1.30440.901458
3-0.209984-1.62650.945461
40.0610570.47290.318984
50.0159780.12380.450957
6-0.062292-0.48250.684402
7-0.347112-2.68870.995364
8-0.169636-1.3140.903076
9-0.128076-0.99210.837427
100.0781530.60540.273609
110.5526614.28093.4e-05
12-0.113673-0.88050.808951
130.1314841.01850.156272
14-0.057974-0.44910.672499
150.0395940.30670.380068
16-0.089171-0.69070.753796
17-0.099655-0.77190.778406
18-0.038033-0.29460.615342
190.0513210.39750.346194
200.1097420.85010.199337
21-0.043576-0.33750.631556
22-0.007849-0.06080.524138
230.0760170.58880.279095
24-0.083467-0.64650.739799
25-0.139162-1.07790.857313
26-0.087558-0.67820.749881
270.0096120.07450.470447
280.025430.1970.422253
290.0217160.16820.433492
30-0.072473-0.56140.711683
310.0187070.14490.442635
320.0006330.00490.498052
33-0.116104-0.89930.813966
34-0.140907-1.09150.860283
35-0.079286-0.61410.72928
360.0313020.24250.404625
370.0148760.11520.454324
380.0546620.42340.336755
39-0.006874-0.05320.521142
40-0.011798-0.09140.536255
410.0449330.3480.364511
42-0.087921-0.6810.750764
43-0.034975-0.27090.606307
44-0.078472-0.60780.727207
450.0119430.09250.463301
46-0.0497-0.3850.649192
47-0.066508-0.51520.695837

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.2432 & 1.8838 & 0.032219 \tabularnewline
1 & -0.245328 & -1.9003 & 0.968899 \tabularnewline
2 & -0.168395 & -1.3044 & 0.901458 \tabularnewline
3 & -0.209984 & -1.6265 & 0.945461 \tabularnewline
4 & 0.061057 & 0.4729 & 0.318984 \tabularnewline
5 & 0.015978 & 0.1238 & 0.450957 \tabularnewline
6 & -0.062292 & -0.4825 & 0.684402 \tabularnewline
7 & -0.347112 & -2.6887 & 0.995364 \tabularnewline
8 & -0.169636 & -1.314 & 0.903076 \tabularnewline
9 & -0.128076 & -0.9921 & 0.837427 \tabularnewline
10 & 0.078153 & 0.6054 & 0.273609 \tabularnewline
11 & 0.552661 & 4.2809 & 3.4e-05 \tabularnewline
12 & -0.113673 & -0.8805 & 0.808951 \tabularnewline
13 & 0.131484 & 1.0185 & 0.156272 \tabularnewline
14 & -0.057974 & -0.4491 & 0.672499 \tabularnewline
15 & 0.039594 & 0.3067 & 0.380068 \tabularnewline
16 & -0.089171 & -0.6907 & 0.753796 \tabularnewline
17 & -0.099655 & -0.7719 & 0.778406 \tabularnewline
18 & -0.038033 & -0.2946 & 0.615342 \tabularnewline
19 & 0.051321 & 0.3975 & 0.346194 \tabularnewline
20 & 0.109742 & 0.8501 & 0.199337 \tabularnewline
21 & -0.043576 & -0.3375 & 0.631556 \tabularnewline
22 & -0.007849 & -0.0608 & 0.524138 \tabularnewline
23 & 0.076017 & 0.5888 & 0.279095 \tabularnewline
24 & -0.083467 & -0.6465 & 0.739799 \tabularnewline
25 & -0.139162 & -1.0779 & 0.857313 \tabularnewline
26 & -0.087558 & -0.6782 & 0.749881 \tabularnewline
27 & 0.009612 & 0.0745 & 0.470447 \tabularnewline
28 & 0.02543 & 0.197 & 0.422253 \tabularnewline
29 & 0.021716 & 0.1682 & 0.433492 \tabularnewline
30 & -0.072473 & -0.5614 & 0.711683 \tabularnewline
31 & 0.018707 & 0.1449 & 0.442635 \tabularnewline
32 & 0.000633 & 0.0049 & 0.498052 \tabularnewline
33 & -0.116104 & -0.8993 & 0.813966 \tabularnewline
34 & -0.140907 & -1.0915 & 0.860283 \tabularnewline
35 & -0.079286 & -0.6141 & 0.72928 \tabularnewline
36 & 0.031302 & 0.2425 & 0.404625 \tabularnewline
37 & 0.014876 & 0.1152 & 0.454324 \tabularnewline
38 & 0.054662 & 0.4234 & 0.336755 \tabularnewline
39 & -0.006874 & -0.0532 & 0.521142 \tabularnewline
40 & -0.011798 & -0.0914 & 0.536255 \tabularnewline
41 & 0.044933 & 0.348 & 0.364511 \tabularnewline
42 & -0.087921 & -0.681 & 0.750764 \tabularnewline
43 & -0.034975 & -0.2709 & 0.606307 \tabularnewline
44 & -0.078472 & -0.6078 & 0.727207 \tabularnewline
45 & 0.011943 & 0.0925 & 0.463301 \tabularnewline
46 & -0.0497 & -0.385 & 0.649192 \tabularnewline
47 & -0.066508 & -0.5152 & 0.695837 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3207&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]0.2432[/C][C]1.8838[/C][C]0.032219[/C][/ROW]
[ROW][C]1[/C][C]-0.245328[/C][C]-1.9003[/C][C]0.968899[/C][/ROW]
[ROW][C]2[/C][C]-0.168395[/C][C]-1.3044[/C][C]0.901458[/C][/ROW]
[ROW][C]3[/C][C]-0.209984[/C][C]-1.6265[/C][C]0.945461[/C][/ROW]
[ROW][C]4[/C][C]0.061057[/C][C]0.4729[/C][C]0.318984[/C][/ROW]
[ROW][C]5[/C][C]0.015978[/C][C]0.1238[/C][C]0.450957[/C][/ROW]
[ROW][C]6[/C][C]-0.062292[/C][C]-0.4825[/C][C]0.684402[/C][/ROW]
[ROW][C]7[/C][C]-0.347112[/C][C]-2.6887[/C][C]0.995364[/C][/ROW]
[ROW][C]8[/C][C]-0.169636[/C][C]-1.314[/C][C]0.903076[/C][/ROW]
[ROW][C]9[/C][C]-0.128076[/C][C]-0.9921[/C][C]0.837427[/C][/ROW]
[ROW][C]10[/C][C]0.078153[/C][C]0.6054[/C][C]0.273609[/C][/ROW]
[ROW][C]11[/C][C]0.552661[/C][C]4.2809[/C][C]3.4e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.113673[/C][C]-0.8805[/C][C]0.808951[/C][/ROW]
[ROW][C]13[/C][C]0.131484[/C][C]1.0185[/C][C]0.156272[/C][/ROW]
[ROW][C]14[/C][C]-0.057974[/C][C]-0.4491[/C][C]0.672499[/C][/ROW]
[ROW][C]15[/C][C]0.039594[/C][C]0.3067[/C][C]0.380068[/C][/ROW]
[ROW][C]16[/C][C]-0.089171[/C][C]-0.6907[/C][C]0.753796[/C][/ROW]
[ROW][C]17[/C][C]-0.099655[/C][C]-0.7719[/C][C]0.778406[/C][/ROW]
[ROW][C]18[/C][C]-0.038033[/C][C]-0.2946[/C][C]0.615342[/C][/ROW]
[ROW][C]19[/C][C]0.051321[/C][C]0.3975[/C][C]0.346194[/C][/ROW]
[ROW][C]20[/C][C]0.109742[/C][C]0.8501[/C][C]0.199337[/C][/ROW]
[ROW][C]21[/C][C]-0.043576[/C][C]-0.3375[/C][C]0.631556[/C][/ROW]
[ROW][C]22[/C][C]-0.007849[/C][C]-0.0608[/C][C]0.524138[/C][/ROW]
[ROW][C]23[/C][C]0.076017[/C][C]0.5888[/C][C]0.279095[/C][/ROW]
[ROW][C]24[/C][C]-0.083467[/C][C]-0.6465[/C][C]0.739799[/C][/ROW]
[ROW][C]25[/C][C]-0.139162[/C][C]-1.0779[/C][C]0.857313[/C][/ROW]
[ROW][C]26[/C][C]-0.087558[/C][C]-0.6782[/C][C]0.749881[/C][/ROW]
[ROW][C]27[/C][C]0.009612[/C][C]0.0745[/C][C]0.470447[/C][/ROW]
[ROW][C]28[/C][C]0.02543[/C][C]0.197[/C][C]0.422253[/C][/ROW]
[ROW][C]29[/C][C]0.021716[/C][C]0.1682[/C][C]0.433492[/C][/ROW]
[ROW][C]30[/C][C]-0.072473[/C][C]-0.5614[/C][C]0.711683[/C][/ROW]
[ROW][C]31[/C][C]0.018707[/C][C]0.1449[/C][C]0.442635[/C][/ROW]
[ROW][C]32[/C][C]0.000633[/C][C]0.0049[/C][C]0.498052[/C][/ROW]
[ROW][C]33[/C][C]-0.116104[/C][C]-0.8993[/C][C]0.813966[/C][/ROW]
[ROW][C]34[/C][C]-0.140907[/C][C]-1.0915[/C][C]0.860283[/C][/ROW]
[ROW][C]35[/C][C]-0.079286[/C][C]-0.6141[/C][C]0.72928[/C][/ROW]
[ROW][C]36[/C][C]0.031302[/C][C]0.2425[/C][C]0.404625[/C][/ROW]
[ROW][C]37[/C][C]0.014876[/C][C]0.1152[/C][C]0.454324[/C][/ROW]
[ROW][C]38[/C][C]0.054662[/C][C]0.4234[/C][C]0.336755[/C][/ROW]
[ROW][C]39[/C][C]-0.006874[/C][C]-0.0532[/C][C]0.521142[/C][/ROW]
[ROW][C]40[/C][C]-0.011798[/C][C]-0.0914[/C][C]0.536255[/C][/ROW]
[ROW][C]41[/C][C]0.044933[/C][C]0.348[/C][C]0.364511[/C][/ROW]
[ROW][C]42[/C][C]-0.087921[/C][C]-0.681[/C][C]0.750764[/C][/ROW]
[ROW][C]43[/C][C]-0.034975[/C][C]-0.2709[/C][C]0.606307[/C][/ROW]
[ROW][C]44[/C][C]-0.078472[/C][C]-0.6078[/C][C]0.727207[/C][/ROW]
[ROW][C]45[/C][C]0.011943[/C][C]0.0925[/C][C]0.463301[/C][/ROW]
[ROW][C]46[/C][C]-0.0497[/C][C]-0.385[/C][C]0.649192[/C][/ROW]
[ROW][C]47[/C][C]-0.066508[/C][C]-0.5152[/C][C]0.695837[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3207&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3207&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
00.24321.88380.032219
1-0.245328-1.90030.968899
2-0.168395-1.30440.901458
3-0.209984-1.62650.945461
40.0610570.47290.318984
50.0159780.12380.450957
6-0.062292-0.48250.684402
7-0.347112-2.68870.995364
8-0.169636-1.3140.903076
9-0.128076-0.99210.837427
100.0781530.60540.273609
110.5526614.28093.4e-05
12-0.113673-0.88050.808951
130.1314841.01850.156272
14-0.057974-0.44910.672499
150.0395940.30670.380068
16-0.089171-0.69070.753796
17-0.099655-0.77190.778406
18-0.038033-0.29460.615342
190.0513210.39750.346194
200.1097420.85010.199337
21-0.043576-0.33750.631556
22-0.007849-0.06080.524138
230.0760170.58880.279095
24-0.083467-0.64650.739799
25-0.139162-1.07790.857313
26-0.087558-0.67820.749881
270.0096120.07450.470447
280.025430.1970.422253
290.0217160.16820.433492
30-0.072473-0.56140.711683
310.0187070.14490.442635
320.0006330.00490.498052
33-0.116104-0.89930.813966
34-0.140907-1.09150.860283
35-0.079286-0.61410.72928
360.0313020.24250.404625
370.0148760.11520.454324
380.0546620.42340.336755
39-0.006874-0.05320.521142
40-0.011798-0.09140.536255
410.0449330.3480.364511
42-0.087921-0.6810.750764
43-0.034975-0.27090.606307
44-0.078472-0.60780.727207
450.0119430.09250.463301
46-0.0497-0.3850.649192
47-0.066508-0.51520.695837



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')