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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 11 Jan 2008 08:18:04 -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/2008/Jan/11/t12000645748xkr9ghpm517mkd.htm/, Retrieved Tue, 14 May 2024 23:18:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7945, Retrieved Tue, 14 May 2024 23:18:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsautocorrelatie Tinne Van der Eycken
Estimated Impact299
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper: Residu's] [2008-01-11 15:18:04] [c8635c97647ba59406cb570a9fab7b02] [Current]
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Dataseries X:
-5.97140410767898
-3.6691753651635
3.22573243778312
8.46994742622872
2.36104613837392
2.27810301334516
-1.89643356409454
-5.57048190071753
1.59306810529995
-1.15395525058041
-6.72929075561101
5.66399576285171
0.880403851972294
0.0619490573441767
8.08456537817682
-6.2448790022095
-2.24567792980042
2.59166701507407
0.601813487319091
4.8272769098794
5.09668174354169
-3.33658622020570
5.34417316066118
1.99609666699276
0.415333303125725
-0.900878021038933
-3.09016502696032
-1.53443811684522
5.61627406480226
-0.498380340378351
-0.443356334553083
-2.97096557941350
0.937268288719855
0.471804866159551
-0.0743614606905861
-6.83970786794111
-0.673055658412168
2.52156302681157
-8.65114003996448
-3.54390202061101
-4.50157864426839
-3.61584164436451
-1.48647635742622
1.68874294472572
-6.24526584517324
3.14185515887046
0.155104567902546
-4.48946146647238
1.49426292301859
1.98654130204668
0.431007250964857
2.85327171343702
-1.23006362910736
-0.75554804367637
3.22445276875476
2.02542762552591
-1.38175229238826
0.876881445756102
1.30437448773787
3.669076904569
3.85445968797453




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=7945&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=7945&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7945&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
017.81020
10.0296170.23130.408921
2-0.07947-0.62070.73144
30.1975961.54330.063968
4-0.198817-1.55280.937179
50.0939130.73350.233036
60.2938262.29490.012598
7-0.326288-2.54840.993322
80.1510591.17980.121329
90.3152882.46250.008319
10-0.132299-1.03330.847226
110.0444420.34710.364855
12-0.120729-0.94290.82528
13-0.283825-2.21670.984811
140.0817160.63820.26286
150.0196530.15350.439258
16-0.150401-1.17470.877654
170.091420.7140.238971
18-0.141254-1.10320.86287
19-0.174722-1.36460.911308
20-0.019355-0.15120.55983
21-0.153628-1.19990.882586
22-0.195984-1.53070.934491
230.0710980.55530.290363
24-0.20372-1.59110.941622
250.0443610.34650.365092
260.1172020.91540.181799
27-0.170741-1.33350.906342
28-0.034429-0.26890.605542
290.1024110.79990.213449
30-0.107558-0.84010.79792
310.1631441.27420.103713
320.0710460.55490.2905
33-0.165325-1.29120.899252
340.1093830.85430.198139
35-0.000457-0.00360.501418
36-0.147401-1.15120.872937
370.1135540.88690.189311
380.0389910.30450.380879
39-0.051147-0.39950.654528
400.1627711.27130.104227
410.0129580.10120.459861
42-0.02156-0.16840.566584
430.0510310.39860.345802
44-0.06456-0.50420.692043
45-0.040685-0.31780.624124
460.1207610.94320.174657
470.0342060.26720.395124
48-0.00059-0.00460.501832
49-0.009828-0.07680.530466
50-0.049741-0.38850.650496
510.0077250.06030.476043
520.0235140.18360.42745
53-0.042958-0.33550.630806
54-0.023454-0.18320.572369
550.0290910.22720.41051
560.0591730.46220.322806
570.0412620.32230.374175
58-0.010559-0.08250.532726
59-0.043169-0.33720.631422

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.8102 & 0 \tabularnewline
1 & 0.029617 & 0.2313 & 0.408921 \tabularnewline
2 & -0.07947 & -0.6207 & 0.73144 \tabularnewline
3 & 0.197596 & 1.5433 & 0.063968 \tabularnewline
4 & -0.198817 & -1.5528 & 0.937179 \tabularnewline
5 & 0.093913 & 0.7335 & 0.233036 \tabularnewline
6 & 0.293826 & 2.2949 & 0.012598 \tabularnewline
7 & -0.326288 & -2.5484 & 0.993322 \tabularnewline
8 & 0.151059 & 1.1798 & 0.121329 \tabularnewline
9 & 0.315288 & 2.4625 & 0.008319 \tabularnewline
10 & -0.132299 & -1.0333 & 0.847226 \tabularnewline
11 & 0.044442 & 0.3471 & 0.364855 \tabularnewline
12 & -0.120729 & -0.9429 & 0.82528 \tabularnewline
13 & -0.283825 & -2.2167 & 0.984811 \tabularnewline
14 & 0.081716 & 0.6382 & 0.26286 \tabularnewline
15 & 0.019653 & 0.1535 & 0.439258 \tabularnewline
16 & -0.150401 & -1.1747 & 0.877654 \tabularnewline
17 & 0.09142 & 0.714 & 0.238971 \tabularnewline
18 & -0.141254 & -1.1032 & 0.86287 \tabularnewline
19 & -0.174722 & -1.3646 & 0.911308 \tabularnewline
20 & -0.019355 & -0.1512 & 0.55983 \tabularnewline
21 & -0.153628 & -1.1999 & 0.882586 \tabularnewline
22 & -0.195984 & -1.5307 & 0.934491 \tabularnewline
23 & 0.071098 & 0.5553 & 0.290363 \tabularnewline
24 & -0.20372 & -1.5911 & 0.941622 \tabularnewline
25 & 0.044361 & 0.3465 & 0.365092 \tabularnewline
26 & 0.117202 & 0.9154 & 0.181799 \tabularnewline
27 & -0.170741 & -1.3335 & 0.906342 \tabularnewline
28 & -0.034429 & -0.2689 & 0.605542 \tabularnewline
29 & 0.102411 & 0.7999 & 0.213449 \tabularnewline
30 & -0.107558 & -0.8401 & 0.79792 \tabularnewline
31 & 0.163144 & 1.2742 & 0.103713 \tabularnewline
32 & 0.071046 & 0.5549 & 0.2905 \tabularnewline
33 & -0.165325 & -1.2912 & 0.899252 \tabularnewline
34 & 0.109383 & 0.8543 & 0.198139 \tabularnewline
35 & -0.000457 & -0.0036 & 0.501418 \tabularnewline
36 & -0.147401 & -1.1512 & 0.872937 \tabularnewline
37 & 0.113554 & 0.8869 & 0.189311 \tabularnewline
38 & 0.038991 & 0.3045 & 0.380879 \tabularnewline
39 & -0.051147 & -0.3995 & 0.654528 \tabularnewline
40 & 0.162771 & 1.2713 & 0.104227 \tabularnewline
41 & 0.012958 & 0.1012 & 0.459861 \tabularnewline
42 & -0.02156 & -0.1684 & 0.566584 \tabularnewline
43 & 0.051031 & 0.3986 & 0.345802 \tabularnewline
44 & -0.06456 & -0.5042 & 0.692043 \tabularnewline
45 & -0.040685 & -0.3178 & 0.624124 \tabularnewline
46 & 0.120761 & 0.9432 & 0.174657 \tabularnewline
47 & 0.034206 & 0.2672 & 0.395124 \tabularnewline
48 & -0.00059 & -0.0046 & 0.501832 \tabularnewline
49 & -0.009828 & -0.0768 & 0.530466 \tabularnewline
50 & -0.049741 & -0.3885 & 0.650496 \tabularnewline
51 & 0.007725 & 0.0603 & 0.476043 \tabularnewline
52 & 0.023514 & 0.1836 & 0.42745 \tabularnewline
53 & -0.042958 & -0.3355 & 0.630806 \tabularnewline
54 & -0.023454 & -0.1832 & 0.572369 \tabularnewline
55 & 0.029091 & 0.2272 & 0.41051 \tabularnewline
56 & 0.059173 & 0.4622 & 0.322806 \tabularnewline
57 & 0.041262 & 0.3223 & 0.374175 \tabularnewline
58 & -0.010559 & -0.0825 & 0.532726 \tabularnewline
59 & -0.043169 & -0.3372 & 0.631422 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7945&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]7.8102[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.029617[/C][C]0.2313[/C][C]0.408921[/C][/ROW]
[ROW][C]2[/C][C]-0.07947[/C][C]-0.6207[/C][C]0.73144[/C][/ROW]
[ROW][C]3[/C][C]0.197596[/C][C]1.5433[/C][C]0.063968[/C][/ROW]
[ROW][C]4[/C][C]-0.198817[/C][C]-1.5528[/C][C]0.937179[/C][/ROW]
[ROW][C]5[/C][C]0.093913[/C][C]0.7335[/C][C]0.233036[/C][/ROW]
[ROW][C]6[/C][C]0.293826[/C][C]2.2949[/C][C]0.012598[/C][/ROW]
[ROW][C]7[/C][C]-0.326288[/C][C]-2.5484[/C][C]0.993322[/C][/ROW]
[ROW][C]8[/C][C]0.151059[/C][C]1.1798[/C][C]0.121329[/C][/ROW]
[ROW][C]9[/C][C]0.315288[/C][C]2.4625[/C][C]0.008319[/C][/ROW]
[ROW][C]10[/C][C]-0.132299[/C][C]-1.0333[/C][C]0.847226[/C][/ROW]
[ROW][C]11[/C][C]0.044442[/C][C]0.3471[/C][C]0.364855[/C][/ROW]
[ROW][C]12[/C][C]-0.120729[/C][C]-0.9429[/C][C]0.82528[/C][/ROW]
[ROW][C]13[/C][C]-0.283825[/C][C]-2.2167[/C][C]0.984811[/C][/ROW]
[ROW][C]14[/C][C]0.081716[/C][C]0.6382[/C][C]0.26286[/C][/ROW]
[ROW][C]15[/C][C]0.019653[/C][C]0.1535[/C][C]0.439258[/C][/ROW]
[ROW][C]16[/C][C]-0.150401[/C][C]-1.1747[/C][C]0.877654[/C][/ROW]
[ROW][C]17[/C][C]0.09142[/C][C]0.714[/C][C]0.238971[/C][/ROW]
[ROW][C]18[/C][C]-0.141254[/C][C]-1.1032[/C][C]0.86287[/C][/ROW]
[ROW][C]19[/C][C]-0.174722[/C][C]-1.3646[/C][C]0.911308[/C][/ROW]
[ROW][C]20[/C][C]-0.019355[/C][C]-0.1512[/C][C]0.55983[/C][/ROW]
[ROW][C]21[/C][C]-0.153628[/C][C]-1.1999[/C][C]0.882586[/C][/ROW]
[ROW][C]22[/C][C]-0.195984[/C][C]-1.5307[/C][C]0.934491[/C][/ROW]
[ROW][C]23[/C][C]0.071098[/C][C]0.5553[/C][C]0.290363[/C][/ROW]
[ROW][C]24[/C][C]-0.20372[/C][C]-1.5911[/C][C]0.941622[/C][/ROW]
[ROW][C]25[/C][C]0.044361[/C][C]0.3465[/C][C]0.365092[/C][/ROW]
[ROW][C]26[/C][C]0.117202[/C][C]0.9154[/C][C]0.181799[/C][/ROW]
[ROW][C]27[/C][C]-0.170741[/C][C]-1.3335[/C][C]0.906342[/C][/ROW]
[ROW][C]28[/C][C]-0.034429[/C][C]-0.2689[/C][C]0.605542[/C][/ROW]
[ROW][C]29[/C][C]0.102411[/C][C]0.7999[/C][C]0.213449[/C][/ROW]
[ROW][C]30[/C][C]-0.107558[/C][C]-0.8401[/C][C]0.79792[/C][/ROW]
[ROW][C]31[/C][C]0.163144[/C][C]1.2742[/C][C]0.103713[/C][/ROW]
[ROW][C]32[/C][C]0.071046[/C][C]0.5549[/C][C]0.2905[/C][/ROW]
[ROW][C]33[/C][C]-0.165325[/C][C]-1.2912[/C][C]0.899252[/C][/ROW]
[ROW][C]34[/C][C]0.109383[/C][C]0.8543[/C][C]0.198139[/C][/ROW]
[ROW][C]35[/C][C]-0.000457[/C][C]-0.0036[/C][C]0.501418[/C][/ROW]
[ROW][C]36[/C][C]-0.147401[/C][C]-1.1512[/C][C]0.872937[/C][/ROW]
[ROW][C]37[/C][C]0.113554[/C][C]0.8869[/C][C]0.189311[/C][/ROW]
[ROW][C]38[/C][C]0.038991[/C][C]0.3045[/C][C]0.380879[/C][/ROW]
[ROW][C]39[/C][C]-0.051147[/C][C]-0.3995[/C][C]0.654528[/C][/ROW]
[ROW][C]40[/C][C]0.162771[/C][C]1.2713[/C][C]0.104227[/C][/ROW]
[ROW][C]41[/C][C]0.012958[/C][C]0.1012[/C][C]0.459861[/C][/ROW]
[ROW][C]42[/C][C]-0.02156[/C][C]-0.1684[/C][C]0.566584[/C][/ROW]
[ROW][C]43[/C][C]0.051031[/C][C]0.3986[/C][C]0.345802[/C][/ROW]
[ROW][C]44[/C][C]-0.06456[/C][C]-0.5042[/C][C]0.692043[/C][/ROW]
[ROW][C]45[/C][C]-0.040685[/C][C]-0.3178[/C][C]0.624124[/C][/ROW]
[ROW][C]46[/C][C]0.120761[/C][C]0.9432[/C][C]0.174657[/C][/ROW]
[ROW][C]47[/C][C]0.034206[/C][C]0.2672[/C][C]0.395124[/C][/ROW]
[ROW][C]48[/C][C]-0.00059[/C][C]-0.0046[/C][C]0.501832[/C][/ROW]
[ROW][C]49[/C][C]-0.009828[/C][C]-0.0768[/C][C]0.530466[/C][/ROW]
[ROW][C]50[/C][C]-0.049741[/C][C]-0.3885[/C][C]0.650496[/C][/ROW]
[ROW][C]51[/C][C]0.007725[/C][C]0.0603[/C][C]0.476043[/C][/ROW]
[ROW][C]52[/C][C]0.023514[/C][C]0.1836[/C][C]0.42745[/C][/ROW]
[ROW][C]53[/C][C]-0.042958[/C][C]-0.3355[/C][C]0.630806[/C][/ROW]
[ROW][C]54[/C][C]-0.023454[/C][C]-0.1832[/C][C]0.572369[/C][/ROW]
[ROW][C]55[/C][C]0.029091[/C][C]0.2272[/C][C]0.41051[/C][/ROW]
[ROW][C]56[/C][C]0.059173[/C][C]0.4622[/C][C]0.322806[/C][/ROW]
[ROW][C]57[/C][C]0.041262[/C][C]0.3223[/C][C]0.374175[/C][/ROW]
[ROW][C]58[/C][C]-0.010559[/C][C]-0.0825[/C][C]0.532726[/C][/ROW]
[ROW][C]59[/C][C]-0.043169[/C][C]-0.3372[/C][C]0.631422[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7945&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7945&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
017.81020
10.0296170.23130.408921
2-0.07947-0.62070.73144
30.1975961.54330.063968
4-0.198817-1.55280.937179
50.0939130.73350.233036
60.2938262.29490.012598
7-0.326288-2.54840.993322
80.1510591.17980.121329
90.3152882.46250.008319
10-0.132299-1.03330.847226
110.0444420.34710.364855
12-0.120729-0.94290.82528
13-0.283825-2.21670.984811
140.0817160.63820.26286
150.0196530.15350.439258
16-0.150401-1.17470.877654
170.091420.7140.238971
18-0.141254-1.10320.86287
19-0.174722-1.36460.911308
20-0.019355-0.15120.55983
21-0.153628-1.19990.882586
22-0.195984-1.53070.934491
230.0710980.55530.290363
24-0.20372-1.59110.941622
250.0443610.34650.365092
260.1172020.91540.181799
27-0.170741-1.33350.906342
28-0.034429-0.26890.605542
290.1024110.79990.213449
30-0.107558-0.84010.79792
310.1631441.27420.103713
320.0710460.55490.2905
33-0.165325-1.29120.899252
340.1093830.85430.198139
35-0.000457-0.00360.501418
36-0.147401-1.15120.872937
370.1135540.88690.189311
380.0389910.30450.380879
39-0.051147-0.39950.654528
400.1627711.27130.104227
410.0129580.10120.459861
42-0.02156-0.16840.566584
430.0510310.39860.345802
44-0.06456-0.50420.692043
45-0.040685-0.31780.624124
460.1207610.94320.174657
470.0342060.26720.395124
48-0.00059-0.00460.501832
49-0.009828-0.07680.530466
50-0.049741-0.38850.650496
510.0077250.06030.476043
520.0235140.18360.42745
53-0.042958-0.33550.630806
54-0.023454-0.18320.572369
550.0290910.22720.41051
560.0591730.46220.322806
570.0412620.32230.374175
58-0.010559-0.08250.532726
59-0.043169-0.33720.631422







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0296170.23130.408921
1-0.080418-0.62810.733854
20.2040181.59340.058116
3-0.232654-1.81710.962941
40.1757521.37270.087441
50.2073931.61980.055218
6-0.312962-2.44430.991291
70.2399691.87420.032846
80.2308681.80310.038153
9-0.041183-0.32160.62559
10-0.163613-1.27790.896929
11-0.160442-1.25310.892523
12-0.00574-0.04480.517805
13-0.20638-1.61190.943924
140.0155280.12130.451936
150.0381650.29810.383328
16-0.015396-0.12020.547658
17-0.216273-1.68910.951851
18-0.126265-0.98620.836025
19-0.00861-0.06720.526697
20-0.034681-0.27090.606296
21-0.17881-1.39660.916196
220.0965650.75420.226817
23-0.219532-1.71460.954253
240.0947040.73970.23117
25-0.018665-0.14580.557713
26-0.010814-0.08450.533516
270.0270910.21160.416568
280.0946560.73930.231284
290.0630410.49240.312114
30-0.02714-0.2120.583583
310.0343160.2680.394795
32-0.025434-0.19860.578398
33-0.170458-1.33130.905981
34-0.116709-0.91150.817197
35-0.146555-1.14460.871583
36-0.019458-0.1520.560144
37-0.030306-0.23670.593157
38-0.084805-0.66240.74488
39-0.068978-0.53870.703984
400.0657110.51320.304825
410.0147440.11520.454352
42-0.102949-0.80410.787756
43-0.013115-0.10240.540624
440.1456341.13740.129902
45-0.093939-0.73370.767026
460.0320360.25020.401633
47-0.048245-0.37680.646187
480.0359970.28110.389774
49-0.087403-0.68260.751289
500.0003220.00250.499
510.0385390.3010.382219
52-0.0041-0.0320.512721
53-0.118399-0.92470.820624
54-0.061829-0.48290.684552
55-0.009507-0.07430.529474
56-0.050377-0.39350.652324
57-0.044893-0.35060.636462
58-0.006261-0.04890.519422
59-0.102947-0.8040.787753

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.029617 & 0.2313 & 0.408921 \tabularnewline
1 & -0.080418 & -0.6281 & 0.733854 \tabularnewline
2 & 0.204018 & 1.5934 & 0.058116 \tabularnewline
3 & -0.232654 & -1.8171 & 0.962941 \tabularnewline
4 & 0.175752 & 1.3727 & 0.087441 \tabularnewline
5 & 0.207393 & 1.6198 & 0.055218 \tabularnewline
6 & -0.312962 & -2.4443 & 0.991291 \tabularnewline
7 & 0.239969 & 1.8742 & 0.032846 \tabularnewline
8 & 0.230868 & 1.8031 & 0.038153 \tabularnewline
9 & -0.041183 & -0.3216 & 0.62559 \tabularnewline
10 & -0.163613 & -1.2779 & 0.896929 \tabularnewline
11 & -0.160442 & -1.2531 & 0.892523 \tabularnewline
12 & -0.00574 & -0.0448 & 0.517805 \tabularnewline
13 & -0.20638 & -1.6119 & 0.943924 \tabularnewline
14 & 0.015528 & 0.1213 & 0.451936 \tabularnewline
15 & 0.038165 & 0.2981 & 0.383328 \tabularnewline
16 & -0.015396 & -0.1202 & 0.547658 \tabularnewline
17 & -0.216273 & -1.6891 & 0.951851 \tabularnewline
18 & -0.126265 & -0.9862 & 0.836025 \tabularnewline
19 & -0.00861 & -0.0672 & 0.526697 \tabularnewline
20 & -0.034681 & -0.2709 & 0.606296 \tabularnewline
21 & -0.17881 & -1.3966 & 0.916196 \tabularnewline
22 & 0.096565 & 0.7542 & 0.226817 \tabularnewline
23 & -0.219532 & -1.7146 & 0.954253 \tabularnewline
24 & 0.094704 & 0.7397 & 0.23117 \tabularnewline
25 & -0.018665 & -0.1458 & 0.557713 \tabularnewline
26 & -0.010814 & -0.0845 & 0.533516 \tabularnewline
27 & 0.027091 & 0.2116 & 0.416568 \tabularnewline
28 & 0.094656 & 0.7393 & 0.231284 \tabularnewline
29 & 0.063041 & 0.4924 & 0.312114 \tabularnewline
30 & -0.02714 & -0.212 & 0.583583 \tabularnewline
31 & 0.034316 & 0.268 & 0.394795 \tabularnewline
32 & -0.025434 & -0.1986 & 0.578398 \tabularnewline
33 & -0.170458 & -1.3313 & 0.905981 \tabularnewline
34 & -0.116709 & -0.9115 & 0.817197 \tabularnewline
35 & -0.146555 & -1.1446 & 0.871583 \tabularnewline
36 & -0.019458 & -0.152 & 0.560144 \tabularnewline
37 & -0.030306 & -0.2367 & 0.593157 \tabularnewline
38 & -0.084805 & -0.6624 & 0.74488 \tabularnewline
39 & -0.068978 & -0.5387 & 0.703984 \tabularnewline
40 & 0.065711 & 0.5132 & 0.304825 \tabularnewline
41 & 0.014744 & 0.1152 & 0.454352 \tabularnewline
42 & -0.102949 & -0.8041 & 0.787756 \tabularnewline
43 & -0.013115 & -0.1024 & 0.540624 \tabularnewline
44 & 0.145634 & 1.1374 & 0.129902 \tabularnewline
45 & -0.093939 & -0.7337 & 0.767026 \tabularnewline
46 & 0.032036 & 0.2502 & 0.401633 \tabularnewline
47 & -0.048245 & -0.3768 & 0.646187 \tabularnewline
48 & 0.035997 & 0.2811 & 0.389774 \tabularnewline
49 & -0.087403 & -0.6826 & 0.751289 \tabularnewline
50 & 0.000322 & 0.0025 & 0.499 \tabularnewline
51 & 0.038539 & 0.301 & 0.382219 \tabularnewline
52 & -0.0041 & -0.032 & 0.512721 \tabularnewline
53 & -0.118399 & -0.9247 & 0.820624 \tabularnewline
54 & -0.061829 & -0.4829 & 0.684552 \tabularnewline
55 & -0.009507 & -0.0743 & 0.529474 \tabularnewline
56 & -0.050377 & -0.3935 & 0.652324 \tabularnewline
57 & -0.044893 & -0.3506 & 0.636462 \tabularnewline
58 & -0.006261 & -0.0489 & 0.519422 \tabularnewline
59 & -0.102947 & -0.804 & 0.787753 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7945&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]0.029617[/C][C]0.2313[/C][C]0.408921[/C][/ROW]
[ROW][C]1[/C][C]-0.080418[/C][C]-0.6281[/C][C]0.733854[/C][/ROW]
[ROW][C]2[/C][C]0.204018[/C][C]1.5934[/C][C]0.058116[/C][/ROW]
[ROW][C]3[/C][C]-0.232654[/C][C]-1.8171[/C][C]0.962941[/C][/ROW]
[ROW][C]4[/C][C]0.175752[/C][C]1.3727[/C][C]0.087441[/C][/ROW]
[ROW][C]5[/C][C]0.207393[/C][C]1.6198[/C][C]0.055218[/C][/ROW]
[ROW][C]6[/C][C]-0.312962[/C][C]-2.4443[/C][C]0.991291[/C][/ROW]
[ROW][C]7[/C][C]0.239969[/C][C]1.8742[/C][C]0.032846[/C][/ROW]
[ROW][C]8[/C][C]0.230868[/C][C]1.8031[/C][C]0.038153[/C][/ROW]
[ROW][C]9[/C][C]-0.041183[/C][C]-0.3216[/C][C]0.62559[/C][/ROW]
[ROW][C]10[/C][C]-0.163613[/C][C]-1.2779[/C][C]0.896929[/C][/ROW]
[ROW][C]11[/C][C]-0.160442[/C][C]-1.2531[/C][C]0.892523[/C][/ROW]
[ROW][C]12[/C][C]-0.00574[/C][C]-0.0448[/C][C]0.517805[/C][/ROW]
[ROW][C]13[/C][C]-0.20638[/C][C]-1.6119[/C][C]0.943924[/C][/ROW]
[ROW][C]14[/C][C]0.015528[/C][C]0.1213[/C][C]0.451936[/C][/ROW]
[ROW][C]15[/C][C]0.038165[/C][C]0.2981[/C][C]0.383328[/C][/ROW]
[ROW][C]16[/C][C]-0.015396[/C][C]-0.1202[/C][C]0.547658[/C][/ROW]
[ROW][C]17[/C][C]-0.216273[/C][C]-1.6891[/C][C]0.951851[/C][/ROW]
[ROW][C]18[/C][C]-0.126265[/C][C]-0.9862[/C][C]0.836025[/C][/ROW]
[ROW][C]19[/C][C]-0.00861[/C][C]-0.0672[/C][C]0.526697[/C][/ROW]
[ROW][C]20[/C][C]-0.034681[/C][C]-0.2709[/C][C]0.606296[/C][/ROW]
[ROW][C]21[/C][C]-0.17881[/C][C]-1.3966[/C][C]0.916196[/C][/ROW]
[ROW][C]22[/C][C]0.096565[/C][C]0.7542[/C][C]0.226817[/C][/ROW]
[ROW][C]23[/C][C]-0.219532[/C][C]-1.7146[/C][C]0.954253[/C][/ROW]
[ROW][C]24[/C][C]0.094704[/C][C]0.7397[/C][C]0.23117[/C][/ROW]
[ROW][C]25[/C][C]-0.018665[/C][C]-0.1458[/C][C]0.557713[/C][/ROW]
[ROW][C]26[/C][C]-0.010814[/C][C]-0.0845[/C][C]0.533516[/C][/ROW]
[ROW][C]27[/C][C]0.027091[/C][C]0.2116[/C][C]0.416568[/C][/ROW]
[ROW][C]28[/C][C]0.094656[/C][C]0.7393[/C][C]0.231284[/C][/ROW]
[ROW][C]29[/C][C]0.063041[/C][C]0.4924[/C][C]0.312114[/C][/ROW]
[ROW][C]30[/C][C]-0.02714[/C][C]-0.212[/C][C]0.583583[/C][/ROW]
[ROW][C]31[/C][C]0.034316[/C][C]0.268[/C][C]0.394795[/C][/ROW]
[ROW][C]32[/C][C]-0.025434[/C][C]-0.1986[/C][C]0.578398[/C][/ROW]
[ROW][C]33[/C][C]-0.170458[/C][C]-1.3313[/C][C]0.905981[/C][/ROW]
[ROW][C]34[/C][C]-0.116709[/C][C]-0.9115[/C][C]0.817197[/C][/ROW]
[ROW][C]35[/C][C]-0.146555[/C][C]-1.1446[/C][C]0.871583[/C][/ROW]
[ROW][C]36[/C][C]-0.019458[/C][C]-0.152[/C][C]0.560144[/C][/ROW]
[ROW][C]37[/C][C]-0.030306[/C][C]-0.2367[/C][C]0.593157[/C][/ROW]
[ROW][C]38[/C][C]-0.084805[/C][C]-0.6624[/C][C]0.74488[/C][/ROW]
[ROW][C]39[/C][C]-0.068978[/C][C]-0.5387[/C][C]0.703984[/C][/ROW]
[ROW][C]40[/C][C]0.065711[/C][C]0.5132[/C][C]0.304825[/C][/ROW]
[ROW][C]41[/C][C]0.014744[/C][C]0.1152[/C][C]0.454352[/C][/ROW]
[ROW][C]42[/C][C]-0.102949[/C][C]-0.8041[/C][C]0.787756[/C][/ROW]
[ROW][C]43[/C][C]-0.013115[/C][C]-0.1024[/C][C]0.540624[/C][/ROW]
[ROW][C]44[/C][C]0.145634[/C][C]1.1374[/C][C]0.129902[/C][/ROW]
[ROW][C]45[/C][C]-0.093939[/C][C]-0.7337[/C][C]0.767026[/C][/ROW]
[ROW][C]46[/C][C]0.032036[/C][C]0.2502[/C][C]0.401633[/C][/ROW]
[ROW][C]47[/C][C]-0.048245[/C][C]-0.3768[/C][C]0.646187[/C][/ROW]
[ROW][C]48[/C][C]0.035997[/C][C]0.2811[/C][C]0.389774[/C][/ROW]
[ROW][C]49[/C][C]-0.087403[/C][C]-0.6826[/C][C]0.751289[/C][/ROW]
[ROW][C]50[/C][C]0.000322[/C][C]0.0025[/C][C]0.499[/C][/ROW]
[ROW][C]51[/C][C]0.038539[/C][C]0.301[/C][C]0.382219[/C][/ROW]
[ROW][C]52[/C][C]-0.0041[/C][C]-0.032[/C][C]0.512721[/C][/ROW]
[ROW][C]53[/C][C]-0.118399[/C][C]-0.9247[/C][C]0.820624[/C][/ROW]
[ROW][C]54[/C][C]-0.061829[/C][C]-0.4829[/C][C]0.684552[/C][/ROW]
[ROW][C]55[/C][C]-0.009507[/C][C]-0.0743[/C][C]0.529474[/C][/ROW]
[ROW][C]56[/C][C]-0.050377[/C][C]-0.3935[/C][C]0.652324[/C][/ROW]
[ROW][C]57[/C][C]-0.044893[/C][C]-0.3506[/C][C]0.636462[/C][/ROW]
[ROW][C]58[/C][C]-0.006261[/C][C]-0.0489[/C][C]0.519422[/C][/ROW]
[ROW][C]59[/C][C]-0.102947[/C][C]-0.804[/C][C]0.787753[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7945&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7945&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
00.0296170.23130.408921
1-0.080418-0.62810.733854
20.2040181.59340.058116
3-0.232654-1.81710.962941
40.1757521.37270.087441
50.2073931.61980.055218
6-0.312962-2.44430.991291
70.2399691.87420.032846
80.2308681.80310.038153
9-0.041183-0.32160.62559
10-0.163613-1.27790.896929
11-0.160442-1.25310.892523
12-0.00574-0.04480.517805
13-0.20638-1.61190.943924
140.0155280.12130.451936
150.0381650.29810.383328
16-0.015396-0.12020.547658
17-0.216273-1.68910.951851
18-0.126265-0.98620.836025
19-0.00861-0.06720.526697
20-0.034681-0.27090.606296
21-0.17881-1.39660.916196
220.0965650.75420.226817
23-0.219532-1.71460.954253
240.0947040.73970.23117
25-0.018665-0.14580.557713
26-0.010814-0.08450.533516
270.0270910.21160.416568
280.0946560.73930.231284
290.0630410.49240.312114
30-0.02714-0.2120.583583
310.0343160.2680.394795
32-0.025434-0.19860.578398
33-0.170458-1.33130.905981
34-0.116709-0.91150.817197
35-0.146555-1.14460.871583
36-0.019458-0.1520.560144
37-0.030306-0.23670.593157
38-0.084805-0.66240.74488
39-0.068978-0.53870.703984
400.0657110.51320.304825
410.0147440.11520.454352
42-0.102949-0.80410.787756
43-0.013115-0.10240.540624
440.1456341.13740.129902
45-0.093939-0.73370.767026
460.0320360.25020.401633
47-0.048245-0.37680.646187
480.0359970.28110.389774
49-0.087403-0.68260.751289
500.0003220.00250.499
510.0385390.3010.382219
52-0.0041-0.0320.512721
53-0.118399-0.92470.820624
54-0.061829-0.48290.684552
55-0.009507-0.07430.529474
56-0.050377-0.39350.652324
57-0.044893-0.35060.636462
58-0.006261-0.04890.519422
59-0.102947-0.8040.787753



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')