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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 02:53:25 -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/29/t11963294149iwfbr7pllbqya0.htm/, Retrieved Fri, 03 May 2024 05:14:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7327, Retrieved Fri, 03 May 2024 05:14:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact208
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Partiel autocorre...] [2007-11-22 15:09:44] [ced1562ed3c62c3bc1f3b66b8f83b537]
-   PD    [(Partial) Autocorrelation Function] [WS10_ARIMA] [2007-11-29 09:53:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
140
132
117
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
113
110
107
103
98
98
137
148
147
139
130
128
127
123
118
114
108
111
151
159
158
148
138
137
136
133
126
120
114
116
153
162
161
149
139
135
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 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=7327&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]3 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=7327&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7327&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0111.48910
1-0.000525-0.0060.502404
2-0.102082-1.17280.878512
3-0.059834-0.68740.753495
40.0127580.14660.441843
50.0250550.28790.386951
60.0069980.08040.468019
7-0.009772-0.11230.544609
80.0023190.02660.489393
90.0318920.36640.357322
100.0282430.32450.37304
110.0009020.01040.495872
12-0.321662-3.69560.99984
13-0.001952-0.02240.508928
140.0125510.14420.442783
150.0038530.04430.482381
16-0.009573-0.110.543704
17-0.019676-0.22610.58925
18-0.010244-0.11770.546754
190.0084510.09710.461401
20-0.007714-0.08860.535244
210.006240.07170.47148
225e-056e-040.499773
23-0.011544-0.13260.552657
24-0.009804-0.11260.544756
25-0.011559-0.13280.552724
260.0066360.07620.469673
270.0037020.04250.483069
280.0102240.11750.453334
290.0020240.02320.490743
302e-0600.49999
31-0.009072-0.10420.541429
32-0.000994-0.01140.504547
330.015470.17770.429601
340.0054090.06210.47527
350.0062180.07140.47158
36-0.017592-0.20210.579931
370.0052240.060.476117
38-0.015218-0.17480.569265
390.0055080.06330.474817
40-0.004277-0.04910.519558
410.0015780.01810.492784
420.0107750.12380.450832
43-0.003387-0.03890.515492
44-0.008081-0.09280.536913
45-0.014578-0.16750.566378
46-0.008109-0.09320.537045
470.0054540.06270.475063

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 11.4891 & 0 \tabularnewline
1 & -0.000525 & -0.006 & 0.502404 \tabularnewline
2 & -0.102082 & -1.1728 & 0.878512 \tabularnewline
3 & -0.059834 & -0.6874 & 0.753495 \tabularnewline
4 & 0.012758 & 0.1466 & 0.441843 \tabularnewline
5 & 0.025055 & 0.2879 & 0.386951 \tabularnewline
6 & 0.006998 & 0.0804 & 0.468019 \tabularnewline
7 & -0.009772 & -0.1123 & 0.544609 \tabularnewline
8 & 0.002319 & 0.0266 & 0.489393 \tabularnewline
9 & 0.031892 & 0.3664 & 0.357322 \tabularnewline
10 & 0.028243 & 0.3245 & 0.37304 \tabularnewline
11 & 0.000902 & 0.0104 & 0.495872 \tabularnewline
12 & -0.321662 & -3.6956 & 0.99984 \tabularnewline
13 & -0.001952 & -0.0224 & 0.508928 \tabularnewline
14 & 0.012551 & 0.1442 & 0.442783 \tabularnewline
15 & 0.003853 & 0.0443 & 0.482381 \tabularnewline
16 & -0.009573 & -0.11 & 0.543704 \tabularnewline
17 & -0.019676 & -0.2261 & 0.58925 \tabularnewline
18 & -0.010244 & -0.1177 & 0.546754 \tabularnewline
19 & 0.008451 & 0.0971 & 0.461401 \tabularnewline
20 & -0.007714 & -0.0886 & 0.535244 \tabularnewline
21 & 0.00624 & 0.0717 & 0.47148 \tabularnewline
22 & 5e-05 & 6e-04 & 0.499773 \tabularnewline
23 & -0.011544 & -0.1326 & 0.552657 \tabularnewline
24 & -0.009804 & -0.1126 & 0.544756 \tabularnewline
25 & -0.011559 & -0.1328 & 0.552724 \tabularnewline
26 & 0.006636 & 0.0762 & 0.469673 \tabularnewline
27 & 0.003702 & 0.0425 & 0.483069 \tabularnewline
28 & 0.010224 & 0.1175 & 0.453334 \tabularnewline
29 & 0.002024 & 0.0232 & 0.490743 \tabularnewline
30 & 2e-06 & 0 & 0.49999 \tabularnewline
31 & -0.009072 & -0.1042 & 0.541429 \tabularnewline
32 & -0.000994 & -0.0114 & 0.504547 \tabularnewline
33 & 0.01547 & 0.1777 & 0.429601 \tabularnewline
34 & 0.005409 & 0.0621 & 0.47527 \tabularnewline
35 & 0.006218 & 0.0714 & 0.47158 \tabularnewline
36 & -0.017592 & -0.2021 & 0.579931 \tabularnewline
37 & 0.005224 & 0.06 & 0.476117 \tabularnewline
38 & -0.015218 & -0.1748 & 0.569265 \tabularnewline
39 & 0.005508 & 0.0633 & 0.474817 \tabularnewline
40 & -0.004277 & -0.0491 & 0.519558 \tabularnewline
41 & 0.001578 & 0.0181 & 0.492784 \tabularnewline
42 & 0.010775 & 0.1238 & 0.450832 \tabularnewline
43 & -0.003387 & -0.0389 & 0.515492 \tabularnewline
44 & -0.008081 & -0.0928 & 0.536913 \tabularnewline
45 & -0.014578 & -0.1675 & 0.566378 \tabularnewline
46 & -0.008109 & -0.0932 & 0.537045 \tabularnewline
47 & 0.005454 & 0.0627 & 0.475063 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7327&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]11.4891[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.000525[/C][C]-0.006[/C][C]0.502404[/C][/ROW]
[ROW][C]2[/C][C]-0.102082[/C][C]-1.1728[/C][C]0.878512[/C][/ROW]
[ROW][C]3[/C][C]-0.059834[/C][C]-0.6874[/C][C]0.753495[/C][/ROW]
[ROW][C]4[/C][C]0.012758[/C][C]0.1466[/C][C]0.441843[/C][/ROW]
[ROW][C]5[/C][C]0.025055[/C][C]0.2879[/C][C]0.386951[/C][/ROW]
[ROW][C]6[/C][C]0.006998[/C][C]0.0804[/C][C]0.468019[/C][/ROW]
[ROW][C]7[/C][C]-0.009772[/C][C]-0.1123[/C][C]0.544609[/C][/ROW]
[ROW][C]8[/C][C]0.002319[/C][C]0.0266[/C][C]0.489393[/C][/ROW]
[ROW][C]9[/C][C]0.031892[/C][C]0.3664[/C][C]0.357322[/C][/ROW]
[ROW][C]10[/C][C]0.028243[/C][C]0.3245[/C][C]0.37304[/C][/ROW]
[ROW][C]11[/C][C]0.000902[/C][C]0.0104[/C][C]0.495872[/C][/ROW]
[ROW][C]12[/C][C]-0.321662[/C][C]-3.6956[/C][C]0.99984[/C][/ROW]
[ROW][C]13[/C][C]-0.001952[/C][C]-0.0224[/C][C]0.508928[/C][/ROW]
[ROW][C]14[/C][C]0.012551[/C][C]0.1442[/C][C]0.442783[/C][/ROW]
[ROW][C]15[/C][C]0.003853[/C][C]0.0443[/C][C]0.482381[/C][/ROW]
[ROW][C]16[/C][C]-0.009573[/C][C]-0.11[/C][C]0.543704[/C][/ROW]
[ROW][C]17[/C][C]-0.019676[/C][C]-0.2261[/C][C]0.58925[/C][/ROW]
[ROW][C]18[/C][C]-0.010244[/C][C]-0.1177[/C][C]0.546754[/C][/ROW]
[ROW][C]19[/C][C]0.008451[/C][C]0.0971[/C][C]0.461401[/C][/ROW]
[ROW][C]20[/C][C]-0.007714[/C][C]-0.0886[/C][C]0.535244[/C][/ROW]
[ROW][C]21[/C][C]0.00624[/C][C]0.0717[/C][C]0.47148[/C][/ROW]
[ROW][C]22[/C][C]5e-05[/C][C]6e-04[/C][C]0.499773[/C][/ROW]
[ROW][C]23[/C][C]-0.011544[/C][C]-0.1326[/C][C]0.552657[/C][/ROW]
[ROW][C]24[/C][C]-0.009804[/C][C]-0.1126[/C][C]0.544756[/C][/ROW]
[ROW][C]25[/C][C]-0.011559[/C][C]-0.1328[/C][C]0.552724[/C][/ROW]
[ROW][C]26[/C][C]0.006636[/C][C]0.0762[/C][C]0.469673[/C][/ROW]
[ROW][C]27[/C][C]0.003702[/C][C]0.0425[/C][C]0.483069[/C][/ROW]
[ROW][C]28[/C][C]0.010224[/C][C]0.1175[/C][C]0.453334[/C][/ROW]
[ROW][C]29[/C][C]0.002024[/C][C]0.0232[/C][C]0.490743[/C][/ROW]
[ROW][C]30[/C][C]2e-06[/C][C]0[/C][C]0.49999[/C][/ROW]
[ROW][C]31[/C][C]-0.009072[/C][C]-0.1042[/C][C]0.541429[/C][/ROW]
[ROW][C]32[/C][C]-0.000994[/C][C]-0.0114[/C][C]0.504547[/C][/ROW]
[ROW][C]33[/C][C]0.01547[/C][C]0.1777[/C][C]0.429601[/C][/ROW]
[ROW][C]34[/C][C]0.005409[/C][C]0.0621[/C][C]0.47527[/C][/ROW]
[ROW][C]35[/C][C]0.006218[/C][C]0.0714[/C][C]0.47158[/C][/ROW]
[ROW][C]36[/C][C]-0.017592[/C][C]-0.2021[/C][C]0.579931[/C][/ROW]
[ROW][C]37[/C][C]0.005224[/C][C]0.06[/C][C]0.476117[/C][/ROW]
[ROW][C]38[/C][C]-0.015218[/C][C]-0.1748[/C][C]0.569265[/C][/ROW]
[ROW][C]39[/C][C]0.005508[/C][C]0.0633[/C][C]0.474817[/C][/ROW]
[ROW][C]40[/C][C]-0.004277[/C][C]-0.0491[/C][C]0.519558[/C][/ROW]
[ROW][C]41[/C][C]0.001578[/C][C]0.0181[/C][C]0.492784[/C][/ROW]
[ROW][C]42[/C][C]0.010775[/C][C]0.1238[/C][C]0.450832[/C][/ROW]
[ROW][C]43[/C][C]-0.003387[/C][C]-0.0389[/C][C]0.515492[/C][/ROW]
[ROW][C]44[/C][C]-0.008081[/C][C]-0.0928[/C][C]0.536913[/C][/ROW]
[ROW][C]45[/C][C]-0.014578[/C][C]-0.1675[/C][C]0.566378[/C][/ROW]
[ROW][C]46[/C][C]-0.008109[/C][C]-0.0932[/C][C]0.537045[/C][/ROW]
[ROW][C]47[/C][C]0.005454[/C][C]0.0627[/C][C]0.475063[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7327&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7327&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
0111.48910
1-0.000525-0.0060.502404
2-0.102082-1.17280.878512
3-0.059834-0.68740.753495
40.0127580.14660.441843
50.0250550.28790.386951
60.0069980.08040.468019
7-0.009772-0.11230.544609
80.0023190.02660.489393
90.0318920.36640.357322
100.0282430.32450.37304
110.0009020.01040.495872
12-0.321662-3.69560.99984
13-0.001952-0.02240.508928
140.0125510.14420.442783
150.0038530.04430.482381
16-0.009573-0.110.543704
17-0.019676-0.22610.58925
18-0.010244-0.11770.546754
190.0084510.09710.461401
20-0.007714-0.08860.535244
210.006240.07170.47148
225e-056e-040.499773
23-0.011544-0.13260.552657
24-0.009804-0.11260.544756
25-0.011559-0.13280.552724
260.0066360.07620.469673
270.0037020.04250.483069
280.0102240.11750.453334
290.0020240.02320.490743
302e-0600.49999
31-0.009072-0.10420.541429
32-0.000994-0.01140.504547
330.015470.17770.429601
340.0054090.06210.47527
350.0062180.07140.47158
36-0.017592-0.20210.579931
370.0052240.060.476117
38-0.015218-0.17480.569265
390.0055080.06330.474817
40-0.004277-0.04910.519558
410.0015780.01810.492784
420.0107750.12380.450832
43-0.003387-0.03890.515492
44-0.008081-0.09280.536913
45-0.014578-0.16750.566378
46-0.008109-0.09320.537045
470.0054540.06270.475063







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.000525-0.0060.502404
1-0.102082-1.17280.878512
2-0.060578-0.6960.756171
30.0019250.02210.491196
40.0130440.14990.440552
50.0051980.05970.476237
6-0.00502-0.05770.522955
70.0057670.06630.473636
80.03140.36080.35943
90.0286430.32910.371307
100.0081260.09340.462879
11-0.317204-3.64440.999808
12-0.002893-0.03320.513231
13-0.056546-0.64970.74148
14-0.036548-0.41990.662383
15-0.010592-0.12170.548336
16-0.015804-0.18160.571901
17-0.009855-0.11320.544986
180.0035470.04080.483778
19-0.007213-0.08290.53296
200.0244340.28070.389682
210.009640.11080.45599
22-0.006274-0.07210.528677
23-0.123269-1.41630.920471
24-0.018043-0.20730.581951
25-0.025323-0.29090.614224
26-0.019782-0.22730.589719
270.0026670.03060.4878
28-0.009362-0.10760.542746
29-0.005892-0.06770.526933
30-0.006169-0.07090.5282
31-0.007714-0.08860.535243
320.0289030.33210.370183
330.0074460.08550.465979
340.0046870.05390.478566
35-0.065421-0.75160.773195
36-0.006168-0.07090.528194
37-0.03344-0.38420.649276
38-0.006054-0.06960.527674
39-0.006552-0.07530.529947
40-0.004875-0.0560.52229
410.0077430.0890.464626
42-0.008779-0.10090.540094
43-0.010712-0.12310.548879
440.0023210.02670.489382
45-0.007951-0.09130.536324
460.0064120.07370.470695
47-0.00472-0.05420.521583

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.000525 & -0.006 & 0.502404 \tabularnewline
1 & -0.102082 & -1.1728 & 0.878512 \tabularnewline
2 & -0.060578 & -0.696 & 0.756171 \tabularnewline
3 & 0.001925 & 0.0221 & 0.491196 \tabularnewline
4 & 0.013044 & 0.1499 & 0.440552 \tabularnewline
5 & 0.005198 & 0.0597 & 0.476237 \tabularnewline
6 & -0.00502 & -0.0577 & 0.522955 \tabularnewline
7 & 0.005767 & 0.0663 & 0.473636 \tabularnewline
8 & 0.0314 & 0.3608 & 0.35943 \tabularnewline
9 & 0.028643 & 0.3291 & 0.371307 \tabularnewline
10 & 0.008126 & 0.0934 & 0.462879 \tabularnewline
11 & -0.317204 & -3.6444 & 0.999808 \tabularnewline
12 & -0.002893 & -0.0332 & 0.513231 \tabularnewline
13 & -0.056546 & -0.6497 & 0.74148 \tabularnewline
14 & -0.036548 & -0.4199 & 0.662383 \tabularnewline
15 & -0.010592 & -0.1217 & 0.548336 \tabularnewline
16 & -0.015804 & -0.1816 & 0.571901 \tabularnewline
17 & -0.009855 & -0.1132 & 0.544986 \tabularnewline
18 & 0.003547 & 0.0408 & 0.483778 \tabularnewline
19 & -0.007213 & -0.0829 & 0.53296 \tabularnewline
20 & 0.024434 & 0.2807 & 0.389682 \tabularnewline
21 & 0.00964 & 0.1108 & 0.45599 \tabularnewline
22 & -0.006274 & -0.0721 & 0.528677 \tabularnewline
23 & -0.123269 & -1.4163 & 0.920471 \tabularnewline
24 & -0.018043 & -0.2073 & 0.581951 \tabularnewline
25 & -0.025323 & -0.2909 & 0.614224 \tabularnewline
26 & -0.019782 & -0.2273 & 0.589719 \tabularnewline
27 & 0.002667 & 0.0306 & 0.4878 \tabularnewline
28 & -0.009362 & -0.1076 & 0.542746 \tabularnewline
29 & -0.005892 & -0.0677 & 0.526933 \tabularnewline
30 & -0.006169 & -0.0709 & 0.5282 \tabularnewline
31 & -0.007714 & -0.0886 & 0.535243 \tabularnewline
32 & 0.028903 & 0.3321 & 0.370183 \tabularnewline
33 & 0.007446 & 0.0855 & 0.465979 \tabularnewline
34 & 0.004687 & 0.0539 & 0.478566 \tabularnewline
35 & -0.065421 & -0.7516 & 0.773195 \tabularnewline
36 & -0.006168 & -0.0709 & 0.528194 \tabularnewline
37 & -0.03344 & -0.3842 & 0.649276 \tabularnewline
38 & -0.006054 & -0.0696 & 0.527674 \tabularnewline
39 & -0.006552 & -0.0753 & 0.529947 \tabularnewline
40 & -0.004875 & -0.056 & 0.52229 \tabularnewline
41 & 0.007743 & 0.089 & 0.464626 \tabularnewline
42 & -0.008779 & -0.1009 & 0.540094 \tabularnewline
43 & -0.010712 & -0.1231 & 0.548879 \tabularnewline
44 & 0.002321 & 0.0267 & 0.489382 \tabularnewline
45 & -0.007951 & -0.0913 & 0.536324 \tabularnewline
46 & 0.006412 & 0.0737 & 0.470695 \tabularnewline
47 & -0.00472 & -0.0542 & 0.521583 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7327&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]-0.000525[/C][C]-0.006[/C][C]0.502404[/C][/ROW]
[ROW][C]1[/C][C]-0.102082[/C][C]-1.1728[/C][C]0.878512[/C][/ROW]
[ROW][C]2[/C][C]-0.060578[/C][C]-0.696[/C][C]0.756171[/C][/ROW]
[ROW][C]3[/C][C]0.001925[/C][C]0.0221[/C][C]0.491196[/C][/ROW]
[ROW][C]4[/C][C]0.013044[/C][C]0.1499[/C][C]0.440552[/C][/ROW]
[ROW][C]5[/C][C]0.005198[/C][C]0.0597[/C][C]0.476237[/C][/ROW]
[ROW][C]6[/C][C]-0.00502[/C][C]-0.0577[/C][C]0.522955[/C][/ROW]
[ROW][C]7[/C][C]0.005767[/C][C]0.0663[/C][C]0.473636[/C][/ROW]
[ROW][C]8[/C][C]0.0314[/C][C]0.3608[/C][C]0.35943[/C][/ROW]
[ROW][C]9[/C][C]0.028643[/C][C]0.3291[/C][C]0.371307[/C][/ROW]
[ROW][C]10[/C][C]0.008126[/C][C]0.0934[/C][C]0.462879[/C][/ROW]
[ROW][C]11[/C][C]-0.317204[/C][C]-3.6444[/C][C]0.999808[/C][/ROW]
[ROW][C]12[/C][C]-0.002893[/C][C]-0.0332[/C][C]0.513231[/C][/ROW]
[ROW][C]13[/C][C]-0.056546[/C][C]-0.6497[/C][C]0.74148[/C][/ROW]
[ROW][C]14[/C][C]-0.036548[/C][C]-0.4199[/C][C]0.662383[/C][/ROW]
[ROW][C]15[/C][C]-0.010592[/C][C]-0.1217[/C][C]0.548336[/C][/ROW]
[ROW][C]16[/C][C]-0.015804[/C][C]-0.1816[/C][C]0.571901[/C][/ROW]
[ROW][C]17[/C][C]-0.009855[/C][C]-0.1132[/C][C]0.544986[/C][/ROW]
[ROW][C]18[/C][C]0.003547[/C][C]0.0408[/C][C]0.483778[/C][/ROW]
[ROW][C]19[/C][C]-0.007213[/C][C]-0.0829[/C][C]0.53296[/C][/ROW]
[ROW][C]20[/C][C]0.024434[/C][C]0.2807[/C][C]0.389682[/C][/ROW]
[ROW][C]21[/C][C]0.00964[/C][C]0.1108[/C][C]0.45599[/C][/ROW]
[ROW][C]22[/C][C]-0.006274[/C][C]-0.0721[/C][C]0.528677[/C][/ROW]
[ROW][C]23[/C][C]-0.123269[/C][C]-1.4163[/C][C]0.920471[/C][/ROW]
[ROW][C]24[/C][C]-0.018043[/C][C]-0.2073[/C][C]0.581951[/C][/ROW]
[ROW][C]25[/C][C]-0.025323[/C][C]-0.2909[/C][C]0.614224[/C][/ROW]
[ROW][C]26[/C][C]-0.019782[/C][C]-0.2273[/C][C]0.589719[/C][/ROW]
[ROW][C]27[/C][C]0.002667[/C][C]0.0306[/C][C]0.4878[/C][/ROW]
[ROW][C]28[/C][C]-0.009362[/C][C]-0.1076[/C][C]0.542746[/C][/ROW]
[ROW][C]29[/C][C]-0.005892[/C][C]-0.0677[/C][C]0.526933[/C][/ROW]
[ROW][C]30[/C][C]-0.006169[/C][C]-0.0709[/C][C]0.5282[/C][/ROW]
[ROW][C]31[/C][C]-0.007714[/C][C]-0.0886[/C][C]0.535243[/C][/ROW]
[ROW][C]32[/C][C]0.028903[/C][C]0.3321[/C][C]0.370183[/C][/ROW]
[ROW][C]33[/C][C]0.007446[/C][C]0.0855[/C][C]0.465979[/C][/ROW]
[ROW][C]34[/C][C]0.004687[/C][C]0.0539[/C][C]0.478566[/C][/ROW]
[ROW][C]35[/C][C]-0.065421[/C][C]-0.7516[/C][C]0.773195[/C][/ROW]
[ROW][C]36[/C][C]-0.006168[/C][C]-0.0709[/C][C]0.528194[/C][/ROW]
[ROW][C]37[/C][C]-0.03344[/C][C]-0.3842[/C][C]0.649276[/C][/ROW]
[ROW][C]38[/C][C]-0.006054[/C][C]-0.0696[/C][C]0.527674[/C][/ROW]
[ROW][C]39[/C][C]-0.006552[/C][C]-0.0753[/C][C]0.529947[/C][/ROW]
[ROW][C]40[/C][C]-0.004875[/C][C]-0.056[/C][C]0.52229[/C][/ROW]
[ROW][C]41[/C][C]0.007743[/C][C]0.089[/C][C]0.464626[/C][/ROW]
[ROW][C]42[/C][C]-0.008779[/C][C]-0.1009[/C][C]0.540094[/C][/ROW]
[ROW][C]43[/C][C]-0.010712[/C][C]-0.1231[/C][C]0.548879[/C][/ROW]
[ROW][C]44[/C][C]0.002321[/C][C]0.0267[/C][C]0.489382[/C][/ROW]
[ROW][C]45[/C][C]-0.007951[/C][C]-0.0913[/C][C]0.536324[/C][/ROW]
[ROW][C]46[/C][C]0.006412[/C][C]0.0737[/C][C]0.470695[/C][/ROW]
[ROW][C]47[/C][C]-0.00472[/C][C]-0.0542[/C][C]0.521583[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7327&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7327&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
0-0.000525-0.0060.502404
1-0.102082-1.17280.878512
2-0.060578-0.6960.756171
30.0019250.02210.491196
40.0130440.14990.440552
50.0051980.05970.476237
6-0.00502-0.05770.522955
70.0057670.06630.473636
80.03140.36080.35943
90.0286430.32910.371307
100.0081260.09340.462879
11-0.317204-3.64440.999808
12-0.002893-0.03320.513231
13-0.056546-0.64970.74148
14-0.036548-0.41990.662383
15-0.010592-0.12170.548336
16-0.015804-0.18160.571901
17-0.009855-0.11320.544986
180.0035470.04080.483778
19-0.007213-0.08290.53296
200.0244340.28070.389682
210.009640.11080.45599
22-0.006274-0.07210.528677
23-0.123269-1.41630.920471
24-0.018043-0.20730.581951
25-0.025323-0.29090.614224
26-0.019782-0.22730.589719
270.0026670.03060.4878
28-0.009362-0.10760.542746
29-0.005892-0.06770.526933
30-0.006169-0.07090.5282
31-0.007714-0.08860.535243
320.0289030.33210.370183
330.0074460.08550.465979
340.0046870.05390.478566
35-0.065421-0.75160.773195
36-0.006168-0.07090.528194
37-0.03344-0.38420.649276
38-0.006054-0.06960.527674
39-0.006552-0.07530.529947
40-0.004875-0.0560.52229
410.0077430.0890.464626
42-0.008779-0.10090.540094
43-0.010712-0.12310.548879
440.0023210.02670.489382
45-0.007951-0.09130.536324
460.0064120.07370.470695
47-0.00472-0.05420.521583



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