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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, 13 May 2009 11:43:14 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/13/t1242236740404a3s8vzvj29z5.htm/, Retrieved Wed, 08 May 2024 06:12:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39881, Retrieved Wed, 08 May 2024 06:12:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2009-05-13 17:43:14] [46186faee359a0c92d914c5fc942bc84] [Current]
-    D    [(Partial) Autocorrelation Function] [Oefn 6bis2 - Sofi...] [2009-05-14 16:36:57] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
666.27
664.45
660.76
660.40
660.69
660.69
662.23
661.41
659.02
655.43
652.59
652.59
648.20
645.84
644.67
642.71
640.14
640.14
639.64
630.28
614.57
614.70
615.08
615.08
614.43
604.55
598.98
594.05
593.05
593.05
593.34
584.72
580.70
577.08
569.92
569.92
568.86
559.38
548.22
545.61
545.33
530.30
527.76
521.41
1601.93
1577.49
1551.43
1551.43
1516.88
1485.95
1438.22
1385.06
1329.49
1329.49
1276.16
1242.34
1181.59
1160.21
1135.18
1135.18
1084.96
1077.35
1061.13
1029.98
1013.08
1013.08
996.04
975.02
951.89
944.40
932.47
932.47
920.44
900.18
886.90




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39881&T=0

[TABLE]
[ROW][C]Summary of computational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39881&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39881&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.0133-0.11440.454612
2-0.009971-0.08580.465939
3-5e-0600.499984
4-0.01511-0.130.448469
5-0.017031-0.14650.441961
6-0.03748-0.32240.374024
7-0.045669-0.39290.347776
8-0.039448-0.33930.367656
90.0098760.0850.466261
10-0.044474-0.38260.351565
11-0.024414-0.210.417116
12-0.048753-0.41940.338073
13-0.019519-0.16790.433558
14-0.014704-0.12650.449845
150.0064750.05570.477864
16-0.040508-0.34850.364241
17-0.004897-0.04210.483257
18-0.013064-0.11240.455414
19-0.0325-0.27960.390292
20-0.012759-0.10980.45645
210.0029680.02550.489849
22-0.011565-0.09950.460512
23-0.016132-0.13880.445002
24-0.0335-0.28820.387007
25-0.013681-0.11770.453317
26-0.010384-0.08930.464533
275.1e-054e-040.499826
28-0.013463-0.11580.454056
29-0.019547-0.16810.433462
30-0.013224-0.11380.454869
310.0005780.0050.498024
32-0.001486-0.01280.494919
330.0016590.01430.494327
34-0.001019-0.00880.496513
35-0.001053-0.00910.496398
360.0002490.00210.499148
370.0009430.00810.496775
380.0027060.02330.490746
390.0010080.00870.496552
400.0016590.01430.494328
410.0009270.0080.496828
42-0.002191-0.01880.492507
43-0.000552-0.00480.498111
440.0035140.03020.487982
450.0029080.0250.490056
460.0030020.02580.489733
470.0033810.02910.488439
480.003340.02870.488576

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.0133 & -0.1144 & 0.454612 \tabularnewline
2 & -0.009971 & -0.0858 & 0.465939 \tabularnewline
3 & -5e-06 & 0 & 0.499984 \tabularnewline
4 & -0.01511 & -0.13 & 0.448469 \tabularnewline
5 & -0.017031 & -0.1465 & 0.441961 \tabularnewline
6 & -0.03748 & -0.3224 & 0.374024 \tabularnewline
7 & -0.045669 & -0.3929 & 0.347776 \tabularnewline
8 & -0.039448 & -0.3393 & 0.367656 \tabularnewline
9 & 0.009876 & 0.085 & 0.466261 \tabularnewline
10 & -0.044474 & -0.3826 & 0.351565 \tabularnewline
11 & -0.024414 & -0.21 & 0.417116 \tabularnewline
12 & -0.048753 & -0.4194 & 0.338073 \tabularnewline
13 & -0.019519 & -0.1679 & 0.433558 \tabularnewline
14 & -0.014704 & -0.1265 & 0.449845 \tabularnewline
15 & 0.006475 & 0.0557 & 0.477864 \tabularnewline
16 & -0.040508 & -0.3485 & 0.364241 \tabularnewline
17 & -0.004897 & -0.0421 & 0.483257 \tabularnewline
18 & -0.013064 & -0.1124 & 0.455414 \tabularnewline
19 & -0.0325 & -0.2796 & 0.390292 \tabularnewline
20 & -0.012759 & -0.1098 & 0.45645 \tabularnewline
21 & 0.002968 & 0.0255 & 0.489849 \tabularnewline
22 & -0.011565 & -0.0995 & 0.460512 \tabularnewline
23 & -0.016132 & -0.1388 & 0.445002 \tabularnewline
24 & -0.0335 & -0.2882 & 0.387007 \tabularnewline
25 & -0.013681 & -0.1177 & 0.453317 \tabularnewline
26 & -0.010384 & -0.0893 & 0.464533 \tabularnewline
27 & 5.1e-05 & 4e-04 & 0.499826 \tabularnewline
28 & -0.013463 & -0.1158 & 0.454056 \tabularnewline
29 & -0.019547 & -0.1681 & 0.433462 \tabularnewline
30 & -0.013224 & -0.1138 & 0.454869 \tabularnewline
31 & 0.000578 & 0.005 & 0.498024 \tabularnewline
32 & -0.001486 & -0.0128 & 0.494919 \tabularnewline
33 & 0.001659 & 0.0143 & 0.494327 \tabularnewline
34 & -0.001019 & -0.0088 & 0.496513 \tabularnewline
35 & -0.001053 & -0.0091 & 0.496398 \tabularnewline
36 & 0.000249 & 0.0021 & 0.499148 \tabularnewline
37 & 0.000943 & 0.0081 & 0.496775 \tabularnewline
38 & 0.002706 & 0.0233 & 0.490746 \tabularnewline
39 & 0.001008 & 0.0087 & 0.496552 \tabularnewline
40 & 0.001659 & 0.0143 & 0.494328 \tabularnewline
41 & 0.000927 & 0.008 & 0.496828 \tabularnewline
42 & -0.002191 & -0.0188 & 0.492507 \tabularnewline
43 & -0.000552 & -0.0048 & 0.498111 \tabularnewline
44 & 0.003514 & 0.0302 & 0.487982 \tabularnewline
45 & 0.002908 & 0.025 & 0.490056 \tabularnewline
46 & 0.003002 & 0.0258 & 0.489733 \tabularnewline
47 & 0.003381 & 0.0291 & 0.488439 \tabularnewline
48 & 0.00334 & 0.0287 & 0.488576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39881&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]1[/C][C]-0.0133[/C][C]-0.1144[/C][C]0.454612[/C][/ROW]
[ROW][C]2[/C][C]-0.009971[/C][C]-0.0858[/C][C]0.465939[/C][/ROW]
[ROW][C]3[/C][C]-5e-06[/C][C]0[/C][C]0.499984[/C][/ROW]
[ROW][C]4[/C][C]-0.01511[/C][C]-0.13[/C][C]0.448469[/C][/ROW]
[ROW][C]5[/C][C]-0.017031[/C][C]-0.1465[/C][C]0.441961[/C][/ROW]
[ROW][C]6[/C][C]-0.03748[/C][C]-0.3224[/C][C]0.374024[/C][/ROW]
[ROW][C]7[/C][C]-0.045669[/C][C]-0.3929[/C][C]0.347776[/C][/ROW]
[ROW][C]8[/C][C]-0.039448[/C][C]-0.3393[/C][C]0.367656[/C][/ROW]
[ROW][C]9[/C][C]0.009876[/C][C]0.085[/C][C]0.466261[/C][/ROW]
[ROW][C]10[/C][C]-0.044474[/C][C]-0.3826[/C][C]0.351565[/C][/ROW]
[ROW][C]11[/C][C]-0.024414[/C][C]-0.21[/C][C]0.417116[/C][/ROW]
[ROW][C]12[/C][C]-0.048753[/C][C]-0.4194[/C][C]0.338073[/C][/ROW]
[ROW][C]13[/C][C]-0.019519[/C][C]-0.1679[/C][C]0.433558[/C][/ROW]
[ROW][C]14[/C][C]-0.014704[/C][C]-0.1265[/C][C]0.449845[/C][/ROW]
[ROW][C]15[/C][C]0.006475[/C][C]0.0557[/C][C]0.477864[/C][/ROW]
[ROW][C]16[/C][C]-0.040508[/C][C]-0.3485[/C][C]0.364241[/C][/ROW]
[ROW][C]17[/C][C]-0.004897[/C][C]-0.0421[/C][C]0.483257[/C][/ROW]
[ROW][C]18[/C][C]-0.013064[/C][C]-0.1124[/C][C]0.455414[/C][/ROW]
[ROW][C]19[/C][C]-0.0325[/C][C]-0.2796[/C][C]0.390292[/C][/ROW]
[ROW][C]20[/C][C]-0.012759[/C][C]-0.1098[/C][C]0.45645[/C][/ROW]
[ROW][C]21[/C][C]0.002968[/C][C]0.0255[/C][C]0.489849[/C][/ROW]
[ROW][C]22[/C][C]-0.011565[/C][C]-0.0995[/C][C]0.460512[/C][/ROW]
[ROW][C]23[/C][C]-0.016132[/C][C]-0.1388[/C][C]0.445002[/C][/ROW]
[ROW][C]24[/C][C]-0.0335[/C][C]-0.2882[/C][C]0.387007[/C][/ROW]
[ROW][C]25[/C][C]-0.013681[/C][C]-0.1177[/C][C]0.453317[/C][/ROW]
[ROW][C]26[/C][C]-0.010384[/C][C]-0.0893[/C][C]0.464533[/C][/ROW]
[ROW][C]27[/C][C]5.1e-05[/C][C]4e-04[/C][C]0.499826[/C][/ROW]
[ROW][C]28[/C][C]-0.013463[/C][C]-0.1158[/C][C]0.454056[/C][/ROW]
[ROW][C]29[/C][C]-0.019547[/C][C]-0.1681[/C][C]0.433462[/C][/ROW]
[ROW][C]30[/C][C]-0.013224[/C][C]-0.1138[/C][C]0.454869[/C][/ROW]
[ROW][C]31[/C][C]0.000578[/C][C]0.005[/C][C]0.498024[/C][/ROW]
[ROW][C]32[/C][C]-0.001486[/C][C]-0.0128[/C][C]0.494919[/C][/ROW]
[ROW][C]33[/C][C]0.001659[/C][C]0.0143[/C][C]0.494327[/C][/ROW]
[ROW][C]34[/C][C]-0.001019[/C][C]-0.0088[/C][C]0.496513[/C][/ROW]
[ROW][C]35[/C][C]-0.001053[/C][C]-0.0091[/C][C]0.496398[/C][/ROW]
[ROW][C]36[/C][C]0.000249[/C][C]0.0021[/C][C]0.499148[/C][/ROW]
[ROW][C]37[/C][C]0.000943[/C][C]0.0081[/C][C]0.496775[/C][/ROW]
[ROW][C]38[/C][C]0.002706[/C][C]0.0233[/C][C]0.490746[/C][/ROW]
[ROW][C]39[/C][C]0.001008[/C][C]0.0087[/C][C]0.496552[/C][/ROW]
[ROW][C]40[/C][C]0.001659[/C][C]0.0143[/C][C]0.494328[/C][/ROW]
[ROW][C]41[/C][C]0.000927[/C][C]0.008[/C][C]0.496828[/C][/ROW]
[ROW][C]42[/C][C]-0.002191[/C][C]-0.0188[/C][C]0.492507[/C][/ROW]
[ROW][C]43[/C][C]-0.000552[/C][C]-0.0048[/C][C]0.498111[/C][/ROW]
[ROW][C]44[/C][C]0.003514[/C][C]0.0302[/C][C]0.487982[/C][/ROW]
[ROW][C]45[/C][C]0.002908[/C][C]0.025[/C][C]0.490056[/C][/ROW]
[ROW][C]46[/C][C]0.003002[/C][C]0.0258[/C][C]0.489733[/C][/ROW]
[ROW][C]47[/C][C]0.003381[/C][C]0.0291[/C][C]0.488439[/C][/ROW]
[ROW][C]48[/C][C]0.00334[/C][C]0.0287[/C][C]0.488576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39881&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39881&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
1-0.0133-0.11440.454612
2-0.009971-0.08580.465939
3-5e-0600.499984
4-0.01511-0.130.448469
5-0.017031-0.14650.441961
6-0.03748-0.32240.374024
7-0.045669-0.39290.347776
8-0.039448-0.33930.367656
90.0098760.0850.466261
10-0.044474-0.38260.351565
11-0.024414-0.210.417116
12-0.048753-0.41940.338073
13-0.019519-0.16790.433558
14-0.014704-0.12650.449845
150.0064750.05570.477864
16-0.040508-0.34850.364241
17-0.004897-0.04210.483257
18-0.013064-0.11240.455414
19-0.0325-0.27960.390292
20-0.012759-0.10980.45645
210.0029680.02550.489849
22-0.011565-0.09950.460512
23-0.016132-0.13880.445002
24-0.0335-0.28820.387007
25-0.013681-0.11770.453317
26-0.010384-0.08930.464533
275.1e-054e-040.499826
28-0.013463-0.11580.454056
29-0.019547-0.16810.433462
30-0.013224-0.11380.454869
310.0005780.0050.498024
32-0.001486-0.01280.494919
330.0016590.01430.494327
34-0.001019-0.00880.496513
35-0.001053-0.00910.496398
360.0002490.00210.499148
370.0009430.00810.496775
380.0027060.02330.490746
390.0010080.00870.496552
400.0016590.01430.494328
410.0009270.0080.496828
42-0.002191-0.01880.492507
43-0.000552-0.00480.498111
440.0035140.03020.487982
450.0029080.0250.490056
460.0030020.02580.489733
470.0033810.02910.488439
480.003340.02870.488576







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.0133-0.11440.454612
2-0.01015-0.08730.46533
3-0.000274-0.00240.499064
4-0.015219-0.13090.448098
5-0.01745-0.15010.440543
6-0.038287-0.32940.371409
7-0.0472-0.4060.342946
8-0.042098-0.36210.35914
90.0069090.05940.476384
10-0.04705-0.40470.343417
11-0.02899-0.24940.401878
12-0.055914-0.4810.315972
13-0.027749-0.23870.405995
14-0.024567-0.21130.416605
15-0.001698-0.01460.494191
16-0.049823-0.42860.334732
17-0.016459-0.14160.443897
18-0.028498-0.24520.403509
19-0.044807-0.38540.350508
20-0.02853-0.24540.403405
21-0.008676-0.07460.470353
22-0.026529-0.22820.410056
23-0.031802-0.27360.392588
24-0.053292-0.45840.323992
25-0.029738-0.25580.399403
26-0.031506-0.2710.393563
27-0.017008-0.14630.442037
28-0.032716-0.28140.389581
29-0.040624-0.34950.363869
30-0.03911-0.33640.368745
31-0.02349-0.20210.420209
32-0.026752-0.23010.409312
33-0.019052-0.16390.435131
34-0.025406-0.21860.4138
35-0.027538-0.23690.406698
36-0.028865-0.24830.402291
37-0.023577-0.20280.419919
38-0.022162-0.19060.424662
39-0.021763-0.18720.426002
40-0.024199-0.20820.417834
41-0.023913-0.20570.418791
42-0.028939-0.24890.402047
43-0.025003-0.21510.415147
44-0.020492-0.17630.430279
45-0.019879-0.1710.432344
46-0.020845-0.17930.429089
47-0.020517-0.17650.430195
48-0.022072-0.18990.424964

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.0133 & -0.1144 & 0.454612 \tabularnewline
2 & -0.01015 & -0.0873 & 0.46533 \tabularnewline
3 & -0.000274 & -0.0024 & 0.499064 \tabularnewline
4 & -0.015219 & -0.1309 & 0.448098 \tabularnewline
5 & -0.01745 & -0.1501 & 0.440543 \tabularnewline
6 & -0.038287 & -0.3294 & 0.371409 \tabularnewline
7 & -0.0472 & -0.406 & 0.342946 \tabularnewline
8 & -0.042098 & -0.3621 & 0.35914 \tabularnewline
9 & 0.006909 & 0.0594 & 0.476384 \tabularnewline
10 & -0.04705 & -0.4047 & 0.343417 \tabularnewline
11 & -0.02899 & -0.2494 & 0.401878 \tabularnewline
12 & -0.055914 & -0.481 & 0.315972 \tabularnewline
13 & -0.027749 & -0.2387 & 0.405995 \tabularnewline
14 & -0.024567 & -0.2113 & 0.416605 \tabularnewline
15 & -0.001698 & -0.0146 & 0.494191 \tabularnewline
16 & -0.049823 & -0.4286 & 0.334732 \tabularnewline
17 & -0.016459 & -0.1416 & 0.443897 \tabularnewline
18 & -0.028498 & -0.2452 & 0.403509 \tabularnewline
19 & -0.044807 & -0.3854 & 0.350508 \tabularnewline
20 & -0.02853 & -0.2454 & 0.403405 \tabularnewline
21 & -0.008676 & -0.0746 & 0.470353 \tabularnewline
22 & -0.026529 & -0.2282 & 0.410056 \tabularnewline
23 & -0.031802 & -0.2736 & 0.392588 \tabularnewline
24 & -0.053292 & -0.4584 & 0.323992 \tabularnewline
25 & -0.029738 & -0.2558 & 0.399403 \tabularnewline
26 & -0.031506 & -0.271 & 0.393563 \tabularnewline
27 & -0.017008 & -0.1463 & 0.442037 \tabularnewline
28 & -0.032716 & -0.2814 & 0.389581 \tabularnewline
29 & -0.040624 & -0.3495 & 0.363869 \tabularnewline
30 & -0.03911 & -0.3364 & 0.368745 \tabularnewline
31 & -0.02349 & -0.2021 & 0.420209 \tabularnewline
32 & -0.026752 & -0.2301 & 0.409312 \tabularnewline
33 & -0.019052 & -0.1639 & 0.435131 \tabularnewline
34 & -0.025406 & -0.2186 & 0.4138 \tabularnewline
35 & -0.027538 & -0.2369 & 0.406698 \tabularnewline
36 & -0.028865 & -0.2483 & 0.402291 \tabularnewline
37 & -0.023577 & -0.2028 & 0.419919 \tabularnewline
38 & -0.022162 & -0.1906 & 0.424662 \tabularnewline
39 & -0.021763 & -0.1872 & 0.426002 \tabularnewline
40 & -0.024199 & -0.2082 & 0.417834 \tabularnewline
41 & -0.023913 & -0.2057 & 0.418791 \tabularnewline
42 & -0.028939 & -0.2489 & 0.402047 \tabularnewline
43 & -0.025003 & -0.2151 & 0.415147 \tabularnewline
44 & -0.020492 & -0.1763 & 0.430279 \tabularnewline
45 & -0.019879 & -0.171 & 0.432344 \tabularnewline
46 & -0.020845 & -0.1793 & 0.429089 \tabularnewline
47 & -0.020517 & -0.1765 & 0.430195 \tabularnewline
48 & -0.022072 & -0.1899 & 0.424964 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39881&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]1[/C][C]-0.0133[/C][C]-0.1144[/C][C]0.454612[/C][/ROW]
[ROW][C]2[/C][C]-0.01015[/C][C]-0.0873[/C][C]0.46533[/C][/ROW]
[ROW][C]3[/C][C]-0.000274[/C][C]-0.0024[/C][C]0.499064[/C][/ROW]
[ROW][C]4[/C][C]-0.015219[/C][C]-0.1309[/C][C]0.448098[/C][/ROW]
[ROW][C]5[/C][C]-0.01745[/C][C]-0.1501[/C][C]0.440543[/C][/ROW]
[ROW][C]6[/C][C]-0.038287[/C][C]-0.3294[/C][C]0.371409[/C][/ROW]
[ROW][C]7[/C][C]-0.0472[/C][C]-0.406[/C][C]0.342946[/C][/ROW]
[ROW][C]8[/C][C]-0.042098[/C][C]-0.3621[/C][C]0.35914[/C][/ROW]
[ROW][C]9[/C][C]0.006909[/C][C]0.0594[/C][C]0.476384[/C][/ROW]
[ROW][C]10[/C][C]-0.04705[/C][C]-0.4047[/C][C]0.343417[/C][/ROW]
[ROW][C]11[/C][C]-0.02899[/C][C]-0.2494[/C][C]0.401878[/C][/ROW]
[ROW][C]12[/C][C]-0.055914[/C][C]-0.481[/C][C]0.315972[/C][/ROW]
[ROW][C]13[/C][C]-0.027749[/C][C]-0.2387[/C][C]0.405995[/C][/ROW]
[ROW][C]14[/C][C]-0.024567[/C][C]-0.2113[/C][C]0.416605[/C][/ROW]
[ROW][C]15[/C][C]-0.001698[/C][C]-0.0146[/C][C]0.494191[/C][/ROW]
[ROW][C]16[/C][C]-0.049823[/C][C]-0.4286[/C][C]0.334732[/C][/ROW]
[ROW][C]17[/C][C]-0.016459[/C][C]-0.1416[/C][C]0.443897[/C][/ROW]
[ROW][C]18[/C][C]-0.028498[/C][C]-0.2452[/C][C]0.403509[/C][/ROW]
[ROW][C]19[/C][C]-0.044807[/C][C]-0.3854[/C][C]0.350508[/C][/ROW]
[ROW][C]20[/C][C]-0.02853[/C][C]-0.2454[/C][C]0.403405[/C][/ROW]
[ROW][C]21[/C][C]-0.008676[/C][C]-0.0746[/C][C]0.470353[/C][/ROW]
[ROW][C]22[/C][C]-0.026529[/C][C]-0.2282[/C][C]0.410056[/C][/ROW]
[ROW][C]23[/C][C]-0.031802[/C][C]-0.2736[/C][C]0.392588[/C][/ROW]
[ROW][C]24[/C][C]-0.053292[/C][C]-0.4584[/C][C]0.323992[/C][/ROW]
[ROW][C]25[/C][C]-0.029738[/C][C]-0.2558[/C][C]0.399403[/C][/ROW]
[ROW][C]26[/C][C]-0.031506[/C][C]-0.271[/C][C]0.393563[/C][/ROW]
[ROW][C]27[/C][C]-0.017008[/C][C]-0.1463[/C][C]0.442037[/C][/ROW]
[ROW][C]28[/C][C]-0.032716[/C][C]-0.2814[/C][C]0.389581[/C][/ROW]
[ROW][C]29[/C][C]-0.040624[/C][C]-0.3495[/C][C]0.363869[/C][/ROW]
[ROW][C]30[/C][C]-0.03911[/C][C]-0.3364[/C][C]0.368745[/C][/ROW]
[ROW][C]31[/C][C]-0.02349[/C][C]-0.2021[/C][C]0.420209[/C][/ROW]
[ROW][C]32[/C][C]-0.026752[/C][C]-0.2301[/C][C]0.409312[/C][/ROW]
[ROW][C]33[/C][C]-0.019052[/C][C]-0.1639[/C][C]0.435131[/C][/ROW]
[ROW][C]34[/C][C]-0.025406[/C][C]-0.2186[/C][C]0.4138[/C][/ROW]
[ROW][C]35[/C][C]-0.027538[/C][C]-0.2369[/C][C]0.406698[/C][/ROW]
[ROW][C]36[/C][C]-0.028865[/C][C]-0.2483[/C][C]0.402291[/C][/ROW]
[ROW][C]37[/C][C]-0.023577[/C][C]-0.2028[/C][C]0.419919[/C][/ROW]
[ROW][C]38[/C][C]-0.022162[/C][C]-0.1906[/C][C]0.424662[/C][/ROW]
[ROW][C]39[/C][C]-0.021763[/C][C]-0.1872[/C][C]0.426002[/C][/ROW]
[ROW][C]40[/C][C]-0.024199[/C][C]-0.2082[/C][C]0.417834[/C][/ROW]
[ROW][C]41[/C][C]-0.023913[/C][C]-0.2057[/C][C]0.418791[/C][/ROW]
[ROW][C]42[/C][C]-0.028939[/C][C]-0.2489[/C][C]0.402047[/C][/ROW]
[ROW][C]43[/C][C]-0.025003[/C][C]-0.2151[/C][C]0.415147[/C][/ROW]
[ROW][C]44[/C][C]-0.020492[/C][C]-0.1763[/C][C]0.430279[/C][/ROW]
[ROW][C]45[/C][C]-0.019879[/C][C]-0.171[/C][C]0.432344[/C][/ROW]
[ROW][C]46[/C][C]-0.020845[/C][C]-0.1793[/C][C]0.429089[/C][/ROW]
[ROW][C]47[/C][C]-0.020517[/C][C]-0.1765[/C][C]0.430195[/C][/ROW]
[ROW][C]48[/C][C]-0.022072[/C][C]-0.1899[/C][C]0.424964[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39881&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39881&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
1-0.0133-0.11440.454612
2-0.01015-0.08730.46533
3-0.000274-0.00240.499064
4-0.015219-0.13090.448098
5-0.01745-0.15010.440543
6-0.038287-0.32940.371409
7-0.0472-0.4060.342946
8-0.042098-0.36210.35914
90.0069090.05940.476384
10-0.04705-0.40470.343417
11-0.02899-0.24940.401878
12-0.055914-0.4810.315972
13-0.027749-0.23870.405995
14-0.024567-0.21130.416605
15-0.001698-0.01460.494191
16-0.049823-0.42860.334732
17-0.016459-0.14160.443897
18-0.028498-0.24520.403509
19-0.044807-0.38540.350508
20-0.02853-0.24540.403405
21-0.008676-0.07460.470353
22-0.026529-0.22820.410056
23-0.031802-0.27360.392588
24-0.053292-0.45840.323992
25-0.029738-0.25580.399403
26-0.031506-0.2710.393563
27-0.017008-0.14630.442037
28-0.032716-0.28140.389581
29-0.040624-0.34950.363869
30-0.03911-0.33640.368745
31-0.02349-0.20210.420209
32-0.026752-0.23010.409312
33-0.019052-0.16390.435131
34-0.025406-0.21860.4138
35-0.027538-0.23690.406698
36-0.028865-0.24830.402291
37-0.023577-0.20280.419919
38-0.022162-0.19060.424662
39-0.021763-0.18720.426002
40-0.024199-0.20820.417834
41-0.023913-0.20570.418791
42-0.028939-0.24890.402047
43-0.025003-0.21510.415147
44-0.020492-0.17630.430279
45-0.019879-0.1710.432344
46-0.020845-0.17930.429089
47-0.020517-0.17650.430195
48-0.022072-0.18990.424964



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 2:(par1+1)) {
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(abs(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,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(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')