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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 24 Nov 2009 03:32:30 -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/2009/Nov/24/t12590587926nkjyt287vkcpxg.htm/, Retrieved Sun, 16 Jun 2024 22:23:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58983, Retrieved Sun, 16 Jun 2024 22:23:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ws4] [2009-11-24 10:32:30] [94ba0ef70f5b330d175ff4daa1c9cd40] [Current]
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Dataseries X:
395.3
395.1
403.5
403.3
405.7
406.7
407.2
412.4
415.9
414
411.8
409.9
412.4
415.9
416.3
417.2
421.8
421.4
415.1
412.4
411.8
408.8
404.5
402.5
409.4
410.7
413.4
415.2
417.7
417.8
417.9
418.4
418.2
416.6
418.9
421
423.5
432.3
432.3
428.6
426.7
427.3
428.5
437
442
444.9
441.4
440.3
447.1
455.3
478.6
486.5
487.8
485.9
483.8
488.4
494
493.6
487.3
482.1
484.2
496.8
501.1
499.8
495.5
498.1
503.8
516.2
526.1
527.1
525.1
528.9
540.1
549
556
568.9
589.1
590.3
603.3
638.8
643
656.7
656.1
654.1
659.9
662.1
669.2
673.1
678.3
677.4
678.5
672.4
665.3
667.9
672.1
662.5
682.3
692.1
702.7
721.4
733.2
747.7
737.6
729.3
706.1
674.3
659
645.7




Summary of computational 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 computational 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=58983&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]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=58983&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58983&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.32086-3.30350.000651
2-0.068606-0.70630.240763
30.0833090.85770.196492
4-0.243686-2.50890.006812
50.1170551.20520.115414
6-0.060903-0.6270.265992
70.1264231.30160.097937
8-0.086068-0.88610.188778
9-0.137986-1.42070.079176
100.0179050.18430.427046
110.0540090.55610.289671
120.0649840.66910.252458
130.0564160.58080.28129
14-0.07977-0.82130.206664
150.0877180.90310.184258
16-0.280346-2.88630.002362
170.1327041.36630.087372
180.1585521.63240.052782
19-0.170105-1.75130.04139
200.1259771.2970.098722
21-0.116082-1.19510.117351
220.1146441.18030.120256
23-0.055255-0.56890.285318
240.0534620.55040.291592
250.0740760.76270.223681
26-0.110518-1.13780.128875
27-0.062554-0.6440.260471
280.0337790.34780.36435
290.0686530.70680.240613
30-0.098471-1.01380.156489
310.1241491.27820.101987
32-0.077194-0.79480.214264
33-0.028403-0.29240.385267
34-0.021206-0.21830.413797
350.0485320.49970.309173
360.0680290.70040.242605
37-0.077837-0.80140.212352
380.0389670.40120.344545
39-0.032872-0.33840.367852
40-0.024511-0.25240.400625
410.0163520.16840.433313
420.0125350.12910.448779
43-0.024456-0.25180.400846
440.0067350.06930.472425
45-0.050794-0.5230.301046
460.0692850.71330.238604
47-0.048602-0.50040.308921
480.0532690.54840.292271
490.008860.09120.463743
50-0.049276-0.50730.30649
510.0994061.02340.154213
52-0.049924-0.5140.304162
530.0652750.6720.251509
54-0.085025-0.87540.19167
55-0.017388-0.1790.429132
560.0259580.26730.394898
57-0.031776-0.32720.372097
58-0.037906-0.39030.348563
590.086270.88820.18822
600.0172280.17740.429777

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.32086 & -3.3035 & 0.000651 \tabularnewline
2 & -0.068606 & -0.7063 & 0.240763 \tabularnewline
3 & 0.083309 & 0.8577 & 0.196492 \tabularnewline
4 & -0.243686 & -2.5089 & 0.006812 \tabularnewline
5 & 0.117055 & 1.2052 & 0.115414 \tabularnewline
6 & -0.060903 & -0.627 & 0.265992 \tabularnewline
7 & 0.126423 & 1.3016 & 0.097937 \tabularnewline
8 & -0.086068 & -0.8861 & 0.188778 \tabularnewline
9 & -0.137986 & -1.4207 & 0.079176 \tabularnewline
10 & 0.017905 & 0.1843 & 0.427046 \tabularnewline
11 & 0.054009 & 0.5561 & 0.289671 \tabularnewline
12 & 0.064984 & 0.6691 & 0.252458 \tabularnewline
13 & 0.056416 & 0.5808 & 0.28129 \tabularnewline
14 & -0.07977 & -0.8213 & 0.206664 \tabularnewline
15 & 0.087718 & 0.9031 & 0.184258 \tabularnewline
16 & -0.280346 & -2.8863 & 0.002362 \tabularnewline
17 & 0.132704 & 1.3663 & 0.087372 \tabularnewline
18 & 0.158552 & 1.6324 & 0.052782 \tabularnewline
19 & -0.170105 & -1.7513 & 0.04139 \tabularnewline
20 & 0.125977 & 1.297 & 0.098722 \tabularnewline
21 & -0.116082 & -1.1951 & 0.117351 \tabularnewline
22 & 0.114644 & 1.1803 & 0.120256 \tabularnewline
23 & -0.055255 & -0.5689 & 0.285318 \tabularnewline
24 & 0.053462 & 0.5504 & 0.291592 \tabularnewline
25 & 0.074076 & 0.7627 & 0.223681 \tabularnewline
26 & -0.110518 & -1.1378 & 0.128875 \tabularnewline
27 & -0.062554 & -0.644 & 0.260471 \tabularnewline
28 & 0.033779 & 0.3478 & 0.36435 \tabularnewline
29 & 0.068653 & 0.7068 & 0.240613 \tabularnewline
30 & -0.098471 & -1.0138 & 0.156489 \tabularnewline
31 & 0.124149 & 1.2782 & 0.101987 \tabularnewline
32 & -0.077194 & -0.7948 & 0.214264 \tabularnewline
33 & -0.028403 & -0.2924 & 0.385267 \tabularnewline
34 & -0.021206 & -0.2183 & 0.413797 \tabularnewline
35 & 0.048532 & 0.4997 & 0.309173 \tabularnewline
36 & 0.068029 & 0.7004 & 0.242605 \tabularnewline
37 & -0.077837 & -0.8014 & 0.212352 \tabularnewline
38 & 0.038967 & 0.4012 & 0.344545 \tabularnewline
39 & -0.032872 & -0.3384 & 0.367852 \tabularnewline
40 & -0.024511 & -0.2524 & 0.400625 \tabularnewline
41 & 0.016352 & 0.1684 & 0.433313 \tabularnewline
42 & 0.012535 & 0.1291 & 0.448779 \tabularnewline
43 & -0.024456 & -0.2518 & 0.400846 \tabularnewline
44 & 0.006735 & 0.0693 & 0.472425 \tabularnewline
45 & -0.050794 & -0.523 & 0.301046 \tabularnewline
46 & 0.069285 & 0.7133 & 0.238604 \tabularnewline
47 & -0.048602 & -0.5004 & 0.308921 \tabularnewline
48 & 0.053269 & 0.5484 & 0.292271 \tabularnewline
49 & 0.00886 & 0.0912 & 0.463743 \tabularnewline
50 & -0.049276 & -0.5073 & 0.30649 \tabularnewline
51 & 0.099406 & 1.0234 & 0.154213 \tabularnewline
52 & -0.049924 & -0.514 & 0.304162 \tabularnewline
53 & 0.065275 & 0.672 & 0.251509 \tabularnewline
54 & -0.085025 & -0.8754 & 0.19167 \tabularnewline
55 & -0.017388 & -0.179 & 0.429132 \tabularnewline
56 & 0.025958 & 0.2673 & 0.394898 \tabularnewline
57 & -0.031776 & -0.3272 & 0.372097 \tabularnewline
58 & -0.037906 & -0.3903 & 0.348563 \tabularnewline
59 & 0.08627 & 0.8882 & 0.18822 \tabularnewline
60 & 0.017228 & 0.1774 & 0.429777 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58983&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]-0.32086[/C][C]-3.3035[/C][C]0.000651[/C][/ROW]
[ROW][C]2[/C][C]-0.068606[/C][C]-0.7063[/C][C]0.240763[/C][/ROW]
[ROW][C]3[/C][C]0.083309[/C][C]0.8577[/C][C]0.196492[/C][/ROW]
[ROW][C]4[/C][C]-0.243686[/C][C]-2.5089[/C][C]0.006812[/C][/ROW]
[ROW][C]5[/C][C]0.117055[/C][C]1.2052[/C][C]0.115414[/C][/ROW]
[ROW][C]6[/C][C]-0.060903[/C][C]-0.627[/C][C]0.265992[/C][/ROW]
[ROW][C]7[/C][C]0.126423[/C][C]1.3016[/C][C]0.097937[/C][/ROW]
[ROW][C]8[/C][C]-0.086068[/C][C]-0.8861[/C][C]0.188778[/C][/ROW]
[ROW][C]9[/C][C]-0.137986[/C][C]-1.4207[/C][C]0.079176[/C][/ROW]
[ROW][C]10[/C][C]0.017905[/C][C]0.1843[/C][C]0.427046[/C][/ROW]
[ROW][C]11[/C][C]0.054009[/C][C]0.5561[/C][C]0.289671[/C][/ROW]
[ROW][C]12[/C][C]0.064984[/C][C]0.6691[/C][C]0.252458[/C][/ROW]
[ROW][C]13[/C][C]0.056416[/C][C]0.5808[/C][C]0.28129[/C][/ROW]
[ROW][C]14[/C][C]-0.07977[/C][C]-0.8213[/C][C]0.206664[/C][/ROW]
[ROW][C]15[/C][C]0.087718[/C][C]0.9031[/C][C]0.184258[/C][/ROW]
[ROW][C]16[/C][C]-0.280346[/C][C]-2.8863[/C][C]0.002362[/C][/ROW]
[ROW][C]17[/C][C]0.132704[/C][C]1.3663[/C][C]0.087372[/C][/ROW]
[ROW][C]18[/C][C]0.158552[/C][C]1.6324[/C][C]0.052782[/C][/ROW]
[ROW][C]19[/C][C]-0.170105[/C][C]-1.7513[/C][C]0.04139[/C][/ROW]
[ROW][C]20[/C][C]0.125977[/C][C]1.297[/C][C]0.098722[/C][/ROW]
[ROW][C]21[/C][C]-0.116082[/C][C]-1.1951[/C][C]0.117351[/C][/ROW]
[ROW][C]22[/C][C]0.114644[/C][C]1.1803[/C][C]0.120256[/C][/ROW]
[ROW][C]23[/C][C]-0.055255[/C][C]-0.5689[/C][C]0.285318[/C][/ROW]
[ROW][C]24[/C][C]0.053462[/C][C]0.5504[/C][C]0.291592[/C][/ROW]
[ROW][C]25[/C][C]0.074076[/C][C]0.7627[/C][C]0.223681[/C][/ROW]
[ROW][C]26[/C][C]-0.110518[/C][C]-1.1378[/C][C]0.128875[/C][/ROW]
[ROW][C]27[/C][C]-0.062554[/C][C]-0.644[/C][C]0.260471[/C][/ROW]
[ROW][C]28[/C][C]0.033779[/C][C]0.3478[/C][C]0.36435[/C][/ROW]
[ROW][C]29[/C][C]0.068653[/C][C]0.7068[/C][C]0.240613[/C][/ROW]
[ROW][C]30[/C][C]-0.098471[/C][C]-1.0138[/C][C]0.156489[/C][/ROW]
[ROW][C]31[/C][C]0.124149[/C][C]1.2782[/C][C]0.101987[/C][/ROW]
[ROW][C]32[/C][C]-0.077194[/C][C]-0.7948[/C][C]0.214264[/C][/ROW]
[ROW][C]33[/C][C]-0.028403[/C][C]-0.2924[/C][C]0.385267[/C][/ROW]
[ROW][C]34[/C][C]-0.021206[/C][C]-0.2183[/C][C]0.413797[/C][/ROW]
[ROW][C]35[/C][C]0.048532[/C][C]0.4997[/C][C]0.309173[/C][/ROW]
[ROW][C]36[/C][C]0.068029[/C][C]0.7004[/C][C]0.242605[/C][/ROW]
[ROW][C]37[/C][C]-0.077837[/C][C]-0.8014[/C][C]0.212352[/C][/ROW]
[ROW][C]38[/C][C]0.038967[/C][C]0.4012[/C][C]0.344545[/C][/ROW]
[ROW][C]39[/C][C]-0.032872[/C][C]-0.3384[/C][C]0.367852[/C][/ROW]
[ROW][C]40[/C][C]-0.024511[/C][C]-0.2524[/C][C]0.400625[/C][/ROW]
[ROW][C]41[/C][C]0.016352[/C][C]0.1684[/C][C]0.433313[/C][/ROW]
[ROW][C]42[/C][C]0.012535[/C][C]0.1291[/C][C]0.448779[/C][/ROW]
[ROW][C]43[/C][C]-0.024456[/C][C]-0.2518[/C][C]0.400846[/C][/ROW]
[ROW][C]44[/C][C]0.006735[/C][C]0.0693[/C][C]0.472425[/C][/ROW]
[ROW][C]45[/C][C]-0.050794[/C][C]-0.523[/C][C]0.301046[/C][/ROW]
[ROW][C]46[/C][C]0.069285[/C][C]0.7133[/C][C]0.238604[/C][/ROW]
[ROW][C]47[/C][C]-0.048602[/C][C]-0.5004[/C][C]0.308921[/C][/ROW]
[ROW][C]48[/C][C]0.053269[/C][C]0.5484[/C][C]0.292271[/C][/ROW]
[ROW][C]49[/C][C]0.00886[/C][C]0.0912[/C][C]0.463743[/C][/ROW]
[ROW][C]50[/C][C]-0.049276[/C][C]-0.5073[/C][C]0.30649[/C][/ROW]
[ROW][C]51[/C][C]0.099406[/C][C]1.0234[/C][C]0.154213[/C][/ROW]
[ROW][C]52[/C][C]-0.049924[/C][C]-0.514[/C][C]0.304162[/C][/ROW]
[ROW][C]53[/C][C]0.065275[/C][C]0.672[/C][C]0.251509[/C][/ROW]
[ROW][C]54[/C][C]-0.085025[/C][C]-0.8754[/C][C]0.19167[/C][/ROW]
[ROW][C]55[/C][C]-0.017388[/C][C]-0.179[/C][C]0.429132[/C][/ROW]
[ROW][C]56[/C][C]0.025958[/C][C]0.2673[/C][C]0.394898[/C][/ROW]
[ROW][C]57[/C][C]-0.031776[/C][C]-0.3272[/C][C]0.372097[/C][/ROW]
[ROW][C]58[/C][C]-0.037906[/C][C]-0.3903[/C][C]0.348563[/C][/ROW]
[ROW][C]59[/C][C]0.08627[/C][C]0.8882[/C][C]0.18822[/C][/ROW]
[ROW][C]60[/C][C]0.017228[/C][C]0.1774[/C][C]0.429777[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58983&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58983&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
1-0.32086-3.30350.000651
2-0.068606-0.70630.240763
30.0833090.85770.196492
4-0.243686-2.50890.006812
50.1170551.20520.115414
6-0.060903-0.6270.265992
70.1264231.30160.097937
8-0.086068-0.88610.188778
9-0.137986-1.42070.079176
100.0179050.18430.427046
110.0540090.55610.289671
120.0649840.66910.252458
130.0564160.58080.28129
14-0.07977-0.82130.206664
150.0877180.90310.184258
16-0.280346-2.88630.002362
170.1327041.36630.087372
180.1585521.63240.052782
19-0.170105-1.75130.04139
200.1259771.2970.098722
21-0.116082-1.19510.117351
220.1146441.18030.120256
23-0.055255-0.56890.285318
240.0534620.55040.291592
250.0740760.76270.223681
26-0.110518-1.13780.128875
27-0.062554-0.6440.260471
280.0337790.34780.36435
290.0686530.70680.240613
30-0.098471-1.01380.156489
310.1241491.27820.101987
32-0.077194-0.79480.214264
33-0.028403-0.29240.385267
34-0.021206-0.21830.413797
350.0485320.49970.309173
360.0680290.70040.242605
37-0.077837-0.80140.212352
380.0389670.40120.344545
39-0.032872-0.33840.367852
40-0.024511-0.25240.400625
410.0163520.16840.433313
420.0125350.12910.448779
43-0.024456-0.25180.400846
440.0067350.06930.472425
45-0.050794-0.5230.301046
460.0692850.71330.238604
47-0.048602-0.50040.308921
480.0532690.54840.292271
490.008860.09120.463743
50-0.049276-0.50730.30649
510.0994061.02340.154213
52-0.049924-0.5140.304162
530.0652750.6720.251509
54-0.085025-0.87540.19167
55-0.017388-0.1790.429132
560.0259580.26730.394898
57-0.031776-0.32720.372097
58-0.037906-0.39030.348563
590.086270.88820.18822
600.0172280.17740.429777







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.32086-3.30350.000651
2-0.191246-1.9690.025782
3-0.004949-0.0510.479729
4-0.262206-2.69960.004041
5-0.059256-0.61010.271558
6-0.129166-1.32980.093213
70.1008971.03880.150631
8-0.104662-1.07760.141838
9-0.18776-1.93310.027946
10-0.206998-2.13120.017693
11-0.002364-0.02430.490314
120.0105890.1090.456697
130.0595640.61320.270514
14-0.105754-1.08880.139354
150.1132421.16590.123136
16-0.28385-2.92240.002123
17-0.00725-0.07460.470321
180.0228260.2350.407329
19-0.024242-0.24960.401695
20-0.06109-0.6290.265364
21-0.022652-0.23320.408023
220.1266191.30360.097592
230.0254810.26230.396781
240.0478560.49270.31162
250.0089340.0920.463443
260.0397960.40970.341416
27-0.069127-0.71170.239104
280.0513620.52880.299025
290.1017871.0480.14852
30-0.067437-0.69430.244505
310.1278691.31650.095423
32-0.060592-0.62380.26704
330.0286750.29520.384198
34-0.032312-0.33270.370019
35-0.017023-0.17530.430606
360.0431460.44420.328898
37-0.030008-0.30890.378983
380.0796070.81960.207141
39-0.007995-0.08230.467275
40-0.019014-0.19580.422585
41-0.005758-0.05930.476417
42-0.070153-0.72230.235861
43-0.09713-10.159791
44-0.048158-0.49580.310525
450.0052440.0540.478521
46-0.079401-0.81750.207744
47-0.040253-0.41440.339699
480.0026820.02760.489012
49-0.069464-0.71520.238035
50-0.018003-0.18530.426655
510.0055060.05670.477451
520.1292551.33080.093062
53-0.006499-0.06690.473389
54-0.003764-0.03870.484581
550.0006930.00710.497161
560.0007260.00750.497025
570.0342720.35290.36245
58-0.143979-1.48240.070607
590.0816770.84090.201143
600.052820.54380.293856

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.32086 & -3.3035 & 0.000651 \tabularnewline
2 & -0.191246 & -1.969 & 0.025782 \tabularnewline
3 & -0.004949 & -0.051 & 0.479729 \tabularnewline
4 & -0.262206 & -2.6996 & 0.004041 \tabularnewline
5 & -0.059256 & -0.6101 & 0.271558 \tabularnewline
6 & -0.129166 & -1.3298 & 0.093213 \tabularnewline
7 & 0.100897 & 1.0388 & 0.150631 \tabularnewline
8 & -0.104662 & -1.0776 & 0.141838 \tabularnewline
9 & -0.18776 & -1.9331 & 0.027946 \tabularnewline
10 & -0.206998 & -2.1312 & 0.017693 \tabularnewline
11 & -0.002364 & -0.0243 & 0.490314 \tabularnewline
12 & 0.010589 & 0.109 & 0.456697 \tabularnewline
13 & 0.059564 & 0.6132 & 0.270514 \tabularnewline
14 & -0.105754 & -1.0888 & 0.139354 \tabularnewline
15 & 0.113242 & 1.1659 & 0.123136 \tabularnewline
16 & -0.28385 & -2.9224 & 0.002123 \tabularnewline
17 & -0.00725 & -0.0746 & 0.470321 \tabularnewline
18 & 0.022826 & 0.235 & 0.407329 \tabularnewline
19 & -0.024242 & -0.2496 & 0.401695 \tabularnewline
20 & -0.06109 & -0.629 & 0.265364 \tabularnewline
21 & -0.022652 & -0.2332 & 0.408023 \tabularnewline
22 & 0.126619 & 1.3036 & 0.097592 \tabularnewline
23 & 0.025481 & 0.2623 & 0.396781 \tabularnewline
24 & 0.047856 & 0.4927 & 0.31162 \tabularnewline
25 & 0.008934 & 0.092 & 0.463443 \tabularnewline
26 & 0.039796 & 0.4097 & 0.341416 \tabularnewline
27 & -0.069127 & -0.7117 & 0.239104 \tabularnewline
28 & 0.051362 & 0.5288 & 0.299025 \tabularnewline
29 & 0.101787 & 1.048 & 0.14852 \tabularnewline
30 & -0.067437 & -0.6943 & 0.244505 \tabularnewline
31 & 0.127869 & 1.3165 & 0.095423 \tabularnewline
32 & -0.060592 & -0.6238 & 0.26704 \tabularnewline
33 & 0.028675 & 0.2952 & 0.384198 \tabularnewline
34 & -0.032312 & -0.3327 & 0.370019 \tabularnewline
35 & -0.017023 & -0.1753 & 0.430606 \tabularnewline
36 & 0.043146 & 0.4442 & 0.328898 \tabularnewline
37 & -0.030008 & -0.3089 & 0.378983 \tabularnewline
38 & 0.079607 & 0.8196 & 0.207141 \tabularnewline
39 & -0.007995 & -0.0823 & 0.467275 \tabularnewline
40 & -0.019014 & -0.1958 & 0.422585 \tabularnewline
41 & -0.005758 & -0.0593 & 0.476417 \tabularnewline
42 & -0.070153 & -0.7223 & 0.235861 \tabularnewline
43 & -0.09713 & -1 & 0.159791 \tabularnewline
44 & -0.048158 & -0.4958 & 0.310525 \tabularnewline
45 & 0.005244 & 0.054 & 0.478521 \tabularnewline
46 & -0.079401 & -0.8175 & 0.207744 \tabularnewline
47 & -0.040253 & -0.4144 & 0.339699 \tabularnewline
48 & 0.002682 & 0.0276 & 0.489012 \tabularnewline
49 & -0.069464 & -0.7152 & 0.238035 \tabularnewline
50 & -0.018003 & -0.1853 & 0.426655 \tabularnewline
51 & 0.005506 & 0.0567 & 0.477451 \tabularnewline
52 & 0.129255 & 1.3308 & 0.093062 \tabularnewline
53 & -0.006499 & -0.0669 & 0.473389 \tabularnewline
54 & -0.003764 & -0.0387 & 0.484581 \tabularnewline
55 & 0.000693 & 0.0071 & 0.497161 \tabularnewline
56 & 0.000726 & 0.0075 & 0.497025 \tabularnewline
57 & 0.034272 & 0.3529 & 0.36245 \tabularnewline
58 & -0.143979 & -1.4824 & 0.070607 \tabularnewline
59 & 0.081677 & 0.8409 & 0.201143 \tabularnewline
60 & 0.05282 & 0.5438 & 0.293856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58983&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]-0.32086[/C][C]-3.3035[/C][C]0.000651[/C][/ROW]
[ROW][C]2[/C][C]-0.191246[/C][C]-1.969[/C][C]0.025782[/C][/ROW]
[ROW][C]3[/C][C]-0.004949[/C][C]-0.051[/C][C]0.479729[/C][/ROW]
[ROW][C]4[/C][C]-0.262206[/C][C]-2.6996[/C][C]0.004041[/C][/ROW]
[ROW][C]5[/C][C]-0.059256[/C][C]-0.6101[/C][C]0.271558[/C][/ROW]
[ROW][C]6[/C][C]-0.129166[/C][C]-1.3298[/C][C]0.093213[/C][/ROW]
[ROW][C]7[/C][C]0.100897[/C][C]1.0388[/C][C]0.150631[/C][/ROW]
[ROW][C]8[/C][C]-0.104662[/C][C]-1.0776[/C][C]0.141838[/C][/ROW]
[ROW][C]9[/C][C]-0.18776[/C][C]-1.9331[/C][C]0.027946[/C][/ROW]
[ROW][C]10[/C][C]-0.206998[/C][C]-2.1312[/C][C]0.017693[/C][/ROW]
[ROW][C]11[/C][C]-0.002364[/C][C]-0.0243[/C][C]0.490314[/C][/ROW]
[ROW][C]12[/C][C]0.010589[/C][C]0.109[/C][C]0.456697[/C][/ROW]
[ROW][C]13[/C][C]0.059564[/C][C]0.6132[/C][C]0.270514[/C][/ROW]
[ROW][C]14[/C][C]-0.105754[/C][C]-1.0888[/C][C]0.139354[/C][/ROW]
[ROW][C]15[/C][C]0.113242[/C][C]1.1659[/C][C]0.123136[/C][/ROW]
[ROW][C]16[/C][C]-0.28385[/C][C]-2.9224[/C][C]0.002123[/C][/ROW]
[ROW][C]17[/C][C]-0.00725[/C][C]-0.0746[/C][C]0.470321[/C][/ROW]
[ROW][C]18[/C][C]0.022826[/C][C]0.235[/C][C]0.407329[/C][/ROW]
[ROW][C]19[/C][C]-0.024242[/C][C]-0.2496[/C][C]0.401695[/C][/ROW]
[ROW][C]20[/C][C]-0.06109[/C][C]-0.629[/C][C]0.265364[/C][/ROW]
[ROW][C]21[/C][C]-0.022652[/C][C]-0.2332[/C][C]0.408023[/C][/ROW]
[ROW][C]22[/C][C]0.126619[/C][C]1.3036[/C][C]0.097592[/C][/ROW]
[ROW][C]23[/C][C]0.025481[/C][C]0.2623[/C][C]0.396781[/C][/ROW]
[ROW][C]24[/C][C]0.047856[/C][C]0.4927[/C][C]0.31162[/C][/ROW]
[ROW][C]25[/C][C]0.008934[/C][C]0.092[/C][C]0.463443[/C][/ROW]
[ROW][C]26[/C][C]0.039796[/C][C]0.4097[/C][C]0.341416[/C][/ROW]
[ROW][C]27[/C][C]-0.069127[/C][C]-0.7117[/C][C]0.239104[/C][/ROW]
[ROW][C]28[/C][C]0.051362[/C][C]0.5288[/C][C]0.299025[/C][/ROW]
[ROW][C]29[/C][C]0.101787[/C][C]1.048[/C][C]0.14852[/C][/ROW]
[ROW][C]30[/C][C]-0.067437[/C][C]-0.6943[/C][C]0.244505[/C][/ROW]
[ROW][C]31[/C][C]0.127869[/C][C]1.3165[/C][C]0.095423[/C][/ROW]
[ROW][C]32[/C][C]-0.060592[/C][C]-0.6238[/C][C]0.26704[/C][/ROW]
[ROW][C]33[/C][C]0.028675[/C][C]0.2952[/C][C]0.384198[/C][/ROW]
[ROW][C]34[/C][C]-0.032312[/C][C]-0.3327[/C][C]0.370019[/C][/ROW]
[ROW][C]35[/C][C]-0.017023[/C][C]-0.1753[/C][C]0.430606[/C][/ROW]
[ROW][C]36[/C][C]0.043146[/C][C]0.4442[/C][C]0.328898[/C][/ROW]
[ROW][C]37[/C][C]-0.030008[/C][C]-0.3089[/C][C]0.378983[/C][/ROW]
[ROW][C]38[/C][C]0.079607[/C][C]0.8196[/C][C]0.207141[/C][/ROW]
[ROW][C]39[/C][C]-0.007995[/C][C]-0.0823[/C][C]0.467275[/C][/ROW]
[ROW][C]40[/C][C]-0.019014[/C][C]-0.1958[/C][C]0.422585[/C][/ROW]
[ROW][C]41[/C][C]-0.005758[/C][C]-0.0593[/C][C]0.476417[/C][/ROW]
[ROW][C]42[/C][C]-0.070153[/C][C]-0.7223[/C][C]0.235861[/C][/ROW]
[ROW][C]43[/C][C]-0.09713[/C][C]-1[/C][C]0.159791[/C][/ROW]
[ROW][C]44[/C][C]-0.048158[/C][C]-0.4958[/C][C]0.310525[/C][/ROW]
[ROW][C]45[/C][C]0.005244[/C][C]0.054[/C][C]0.478521[/C][/ROW]
[ROW][C]46[/C][C]-0.079401[/C][C]-0.8175[/C][C]0.207744[/C][/ROW]
[ROW][C]47[/C][C]-0.040253[/C][C]-0.4144[/C][C]0.339699[/C][/ROW]
[ROW][C]48[/C][C]0.002682[/C][C]0.0276[/C][C]0.489012[/C][/ROW]
[ROW][C]49[/C][C]-0.069464[/C][C]-0.7152[/C][C]0.238035[/C][/ROW]
[ROW][C]50[/C][C]-0.018003[/C][C]-0.1853[/C][C]0.426655[/C][/ROW]
[ROW][C]51[/C][C]0.005506[/C][C]0.0567[/C][C]0.477451[/C][/ROW]
[ROW][C]52[/C][C]0.129255[/C][C]1.3308[/C][C]0.093062[/C][/ROW]
[ROW][C]53[/C][C]-0.006499[/C][C]-0.0669[/C][C]0.473389[/C][/ROW]
[ROW][C]54[/C][C]-0.003764[/C][C]-0.0387[/C][C]0.484581[/C][/ROW]
[ROW][C]55[/C][C]0.000693[/C][C]0.0071[/C][C]0.497161[/C][/ROW]
[ROW][C]56[/C][C]0.000726[/C][C]0.0075[/C][C]0.497025[/C][/ROW]
[ROW][C]57[/C][C]0.034272[/C][C]0.3529[/C][C]0.36245[/C][/ROW]
[ROW][C]58[/C][C]-0.143979[/C][C]-1.4824[/C][C]0.070607[/C][/ROW]
[ROW][C]59[/C][C]0.081677[/C][C]0.8409[/C][C]0.201143[/C][/ROW]
[ROW][C]60[/C][C]0.05282[/C][C]0.5438[/C][C]0.293856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58983&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58983&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
1-0.32086-3.30350.000651
2-0.191246-1.9690.025782
3-0.004949-0.0510.479729
4-0.262206-2.69960.004041
5-0.059256-0.61010.271558
6-0.129166-1.32980.093213
70.1008971.03880.150631
8-0.104662-1.07760.141838
9-0.18776-1.93310.027946
10-0.206998-2.13120.017693
11-0.002364-0.02430.490314
120.0105890.1090.456697
130.0595640.61320.270514
14-0.105754-1.08880.139354
150.1132421.16590.123136
16-0.28385-2.92240.002123
17-0.00725-0.07460.470321
180.0228260.2350.407329
19-0.024242-0.24960.401695
20-0.06109-0.6290.265364
21-0.022652-0.23320.408023
220.1266191.30360.097592
230.0254810.26230.396781
240.0478560.49270.31162
250.0089340.0920.463443
260.0397960.40970.341416
27-0.069127-0.71170.239104
280.0513620.52880.299025
290.1017871.0480.14852
30-0.067437-0.69430.244505
310.1278691.31650.095423
32-0.060592-0.62380.26704
330.0286750.29520.384198
34-0.032312-0.33270.370019
35-0.017023-0.17530.430606
360.0431460.44420.328898
37-0.030008-0.30890.378983
380.0796070.81960.207141
39-0.007995-0.08230.467275
40-0.019014-0.19580.422585
41-0.005758-0.05930.476417
42-0.070153-0.72230.235861
43-0.09713-10.159791
44-0.048158-0.49580.310525
450.0052440.0540.478521
46-0.079401-0.81750.207744
47-0.040253-0.41440.339699
480.0026820.02760.489012
49-0.069464-0.71520.238035
50-0.018003-0.18530.426655
510.0055060.05670.477451
520.1292551.33080.093062
53-0.006499-0.06690.473389
54-0.003764-0.03870.484581
550.0006930.00710.497161
560.0007260.00750.497025
570.0342720.35290.36245
58-0.143979-1.48240.070607
590.0816770.84090.201143
600.052820.54380.293856



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')