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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 computationMon, 15 Dec 2008 16:11:01 -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/Dec/16/t1229382696nql8jph7cfx8wl7.htm/, Retrieved Wed, 15 May 2024 02:49:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33859, Retrieved Wed, 15 May 2024 02:49:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact234
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [PACF d=1 D=0] [2008-12-15 23:11:01] [0bb3b56b7083c5944c3818446f605d68] [Current]
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Dataseries X:
7.6
7.7
7.6
8.2
8
8.1
8.3
8.2
8.1
7.7
7.6
7.7
8.2
8.4
8.4
8.6
8.4
8.5
8.7
8.7
8.6
7.4
7.3
7.4
9
9.2
9.2
8.5
8.3
8.3
8.6
8.6
8.5
8.1
8.1
8
8.6
8.7
8.7
8.6
8.4
8.4
8.7
8.7
8.5
8.3
8.3
8.3
8.1
8.2
8.1
8.1
7.9
7.7
8.1
8
7.7
7.8
7.6
7.4
7.7




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=33859&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=33859&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33859&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
10.1094690.84790.199919
2-0.09818-0.76050.224968
3-0.54971-4.2583.7e-05
4-0.20751-1.60740.056612
50.081370.63030.26545
60.3043992.35790.010829
70.0968910.75050.22794
8-0.137407-1.06430.145717
9-0.286219-2.2170.01521
10-0.073054-0.56590.286796
110.1275120.98770.163633
120.467073.61790.000305
130.1150280.8910.188243
14-0.061695-0.47790.317235
15-0.332342-2.57430.006265
16-0.175349-1.35820.089735
170.0448280.34720.364813
180.1654951.28190.102402
190.108060.8370.20295
20-0.141619-1.0970.138517
21-0.021327-0.16520.434671
22-0.076074-0.58930.278948
230.0936580.72550.23549
240.080030.61990.268832
250.0661910.51270.305017
26-0.039025-0.30230.381741
27-0.057422-0.44480.329037
28-0.089821-0.69580.244635
29-0.001484-0.01150.495433
300.0967650.74950.228231
310.0659780.51110.30559
32-0.068691-0.53210.298318
33-0.074442-0.57660.283175
34-0.046555-0.36060.359828
350.0109260.08460.466417
360.0784360.60760.272886
370.0381590.29560.384288
38-0.0067-0.05190.47939
39-0.017968-0.13920.444887
40-0.025308-0.1960.422622
41-0.025332-0.19620.42255
420.0196190.1520.43986
430.0098480.07630.469724
44-0.023837-0.18460.427066
45-0.030944-0.23970.405694
46-0.002846-0.0220.491241
47-0.018275-0.14160.443952
480.0378270.2930.385264
490.0113180.08770.465215
50-0.026551-0.20570.418875
510.0239170.18530.426825
52-0.014093-0.10920.45672
53-0.033799-0.26180.397184
540.0223730.17330.431499
55-0.012668-0.09810.46108
56-0.02113-0.16370.435269
570.025130.19470.423159
58-0.007035-0.05450.478361
590.0041150.03190.48734
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.109469 & 0.8479 & 0.199919 \tabularnewline
2 & -0.09818 & -0.7605 & 0.224968 \tabularnewline
3 & -0.54971 & -4.258 & 3.7e-05 \tabularnewline
4 & -0.20751 & -1.6074 & 0.056612 \tabularnewline
5 & 0.08137 & 0.6303 & 0.26545 \tabularnewline
6 & 0.304399 & 2.3579 & 0.010829 \tabularnewline
7 & 0.096891 & 0.7505 & 0.22794 \tabularnewline
8 & -0.137407 & -1.0643 & 0.145717 \tabularnewline
9 & -0.286219 & -2.217 & 0.01521 \tabularnewline
10 & -0.073054 & -0.5659 & 0.286796 \tabularnewline
11 & 0.127512 & 0.9877 & 0.163633 \tabularnewline
12 & 0.46707 & 3.6179 & 0.000305 \tabularnewline
13 & 0.115028 & 0.891 & 0.188243 \tabularnewline
14 & -0.061695 & -0.4779 & 0.317235 \tabularnewline
15 & -0.332342 & -2.5743 & 0.006265 \tabularnewline
16 & -0.175349 & -1.3582 & 0.089735 \tabularnewline
17 & 0.044828 & 0.3472 & 0.364813 \tabularnewline
18 & 0.165495 & 1.2819 & 0.102402 \tabularnewline
19 & 0.10806 & 0.837 & 0.20295 \tabularnewline
20 & -0.141619 & -1.097 & 0.138517 \tabularnewline
21 & -0.021327 & -0.1652 & 0.434671 \tabularnewline
22 & -0.076074 & -0.5893 & 0.278948 \tabularnewline
23 & 0.093658 & 0.7255 & 0.23549 \tabularnewline
24 & 0.08003 & 0.6199 & 0.268832 \tabularnewline
25 & 0.066191 & 0.5127 & 0.305017 \tabularnewline
26 & -0.039025 & -0.3023 & 0.381741 \tabularnewline
27 & -0.057422 & -0.4448 & 0.329037 \tabularnewline
28 & -0.089821 & -0.6958 & 0.244635 \tabularnewline
29 & -0.001484 & -0.0115 & 0.495433 \tabularnewline
30 & 0.096765 & 0.7495 & 0.228231 \tabularnewline
31 & 0.065978 & 0.5111 & 0.30559 \tabularnewline
32 & -0.068691 & -0.5321 & 0.298318 \tabularnewline
33 & -0.074442 & -0.5766 & 0.283175 \tabularnewline
34 & -0.046555 & -0.3606 & 0.359828 \tabularnewline
35 & 0.010926 & 0.0846 & 0.466417 \tabularnewline
36 & 0.078436 & 0.6076 & 0.272886 \tabularnewline
37 & 0.038159 & 0.2956 & 0.384288 \tabularnewline
38 & -0.0067 & -0.0519 & 0.47939 \tabularnewline
39 & -0.017968 & -0.1392 & 0.444887 \tabularnewline
40 & -0.025308 & -0.196 & 0.422622 \tabularnewline
41 & -0.025332 & -0.1962 & 0.42255 \tabularnewline
42 & 0.019619 & 0.152 & 0.43986 \tabularnewline
43 & 0.009848 & 0.0763 & 0.469724 \tabularnewline
44 & -0.023837 & -0.1846 & 0.427066 \tabularnewline
45 & -0.030944 & -0.2397 & 0.405694 \tabularnewline
46 & -0.002846 & -0.022 & 0.491241 \tabularnewline
47 & -0.018275 & -0.1416 & 0.443952 \tabularnewline
48 & 0.037827 & 0.293 & 0.385264 \tabularnewline
49 & 0.011318 & 0.0877 & 0.465215 \tabularnewline
50 & -0.026551 & -0.2057 & 0.418875 \tabularnewline
51 & 0.023917 & 0.1853 & 0.426825 \tabularnewline
52 & -0.014093 & -0.1092 & 0.45672 \tabularnewline
53 & -0.033799 & -0.2618 & 0.397184 \tabularnewline
54 & 0.022373 & 0.1733 & 0.431499 \tabularnewline
55 & -0.012668 & -0.0981 & 0.46108 \tabularnewline
56 & -0.02113 & -0.1637 & 0.435269 \tabularnewline
57 & 0.02513 & 0.1947 & 0.423159 \tabularnewline
58 & -0.007035 & -0.0545 & 0.478361 \tabularnewline
59 & 0.004115 & 0.0319 & 0.48734 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33859&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]0.109469[/C][C]0.8479[/C][C]0.199919[/C][/ROW]
[ROW][C]2[/C][C]-0.09818[/C][C]-0.7605[/C][C]0.224968[/C][/ROW]
[ROW][C]3[/C][C]-0.54971[/C][C]-4.258[/C][C]3.7e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.20751[/C][C]-1.6074[/C][C]0.056612[/C][/ROW]
[ROW][C]5[/C][C]0.08137[/C][C]0.6303[/C][C]0.26545[/C][/ROW]
[ROW][C]6[/C][C]0.304399[/C][C]2.3579[/C][C]0.010829[/C][/ROW]
[ROW][C]7[/C][C]0.096891[/C][C]0.7505[/C][C]0.22794[/C][/ROW]
[ROW][C]8[/C][C]-0.137407[/C][C]-1.0643[/C][C]0.145717[/C][/ROW]
[ROW][C]9[/C][C]-0.286219[/C][C]-2.217[/C][C]0.01521[/C][/ROW]
[ROW][C]10[/C][C]-0.073054[/C][C]-0.5659[/C][C]0.286796[/C][/ROW]
[ROW][C]11[/C][C]0.127512[/C][C]0.9877[/C][C]0.163633[/C][/ROW]
[ROW][C]12[/C][C]0.46707[/C][C]3.6179[/C][C]0.000305[/C][/ROW]
[ROW][C]13[/C][C]0.115028[/C][C]0.891[/C][C]0.188243[/C][/ROW]
[ROW][C]14[/C][C]-0.061695[/C][C]-0.4779[/C][C]0.317235[/C][/ROW]
[ROW][C]15[/C][C]-0.332342[/C][C]-2.5743[/C][C]0.006265[/C][/ROW]
[ROW][C]16[/C][C]-0.175349[/C][C]-1.3582[/C][C]0.089735[/C][/ROW]
[ROW][C]17[/C][C]0.044828[/C][C]0.3472[/C][C]0.364813[/C][/ROW]
[ROW][C]18[/C][C]0.165495[/C][C]1.2819[/C][C]0.102402[/C][/ROW]
[ROW][C]19[/C][C]0.10806[/C][C]0.837[/C][C]0.20295[/C][/ROW]
[ROW][C]20[/C][C]-0.141619[/C][C]-1.097[/C][C]0.138517[/C][/ROW]
[ROW][C]21[/C][C]-0.021327[/C][C]-0.1652[/C][C]0.434671[/C][/ROW]
[ROW][C]22[/C][C]-0.076074[/C][C]-0.5893[/C][C]0.278948[/C][/ROW]
[ROW][C]23[/C][C]0.093658[/C][C]0.7255[/C][C]0.23549[/C][/ROW]
[ROW][C]24[/C][C]0.08003[/C][C]0.6199[/C][C]0.268832[/C][/ROW]
[ROW][C]25[/C][C]0.066191[/C][C]0.5127[/C][C]0.305017[/C][/ROW]
[ROW][C]26[/C][C]-0.039025[/C][C]-0.3023[/C][C]0.381741[/C][/ROW]
[ROW][C]27[/C][C]-0.057422[/C][C]-0.4448[/C][C]0.329037[/C][/ROW]
[ROW][C]28[/C][C]-0.089821[/C][C]-0.6958[/C][C]0.244635[/C][/ROW]
[ROW][C]29[/C][C]-0.001484[/C][C]-0.0115[/C][C]0.495433[/C][/ROW]
[ROW][C]30[/C][C]0.096765[/C][C]0.7495[/C][C]0.228231[/C][/ROW]
[ROW][C]31[/C][C]0.065978[/C][C]0.5111[/C][C]0.30559[/C][/ROW]
[ROW][C]32[/C][C]-0.068691[/C][C]-0.5321[/C][C]0.298318[/C][/ROW]
[ROW][C]33[/C][C]-0.074442[/C][C]-0.5766[/C][C]0.283175[/C][/ROW]
[ROW][C]34[/C][C]-0.046555[/C][C]-0.3606[/C][C]0.359828[/C][/ROW]
[ROW][C]35[/C][C]0.010926[/C][C]0.0846[/C][C]0.466417[/C][/ROW]
[ROW][C]36[/C][C]0.078436[/C][C]0.6076[/C][C]0.272886[/C][/ROW]
[ROW][C]37[/C][C]0.038159[/C][C]0.2956[/C][C]0.384288[/C][/ROW]
[ROW][C]38[/C][C]-0.0067[/C][C]-0.0519[/C][C]0.47939[/C][/ROW]
[ROW][C]39[/C][C]-0.017968[/C][C]-0.1392[/C][C]0.444887[/C][/ROW]
[ROW][C]40[/C][C]-0.025308[/C][C]-0.196[/C][C]0.422622[/C][/ROW]
[ROW][C]41[/C][C]-0.025332[/C][C]-0.1962[/C][C]0.42255[/C][/ROW]
[ROW][C]42[/C][C]0.019619[/C][C]0.152[/C][C]0.43986[/C][/ROW]
[ROW][C]43[/C][C]0.009848[/C][C]0.0763[/C][C]0.469724[/C][/ROW]
[ROW][C]44[/C][C]-0.023837[/C][C]-0.1846[/C][C]0.427066[/C][/ROW]
[ROW][C]45[/C][C]-0.030944[/C][C]-0.2397[/C][C]0.405694[/C][/ROW]
[ROW][C]46[/C][C]-0.002846[/C][C]-0.022[/C][C]0.491241[/C][/ROW]
[ROW][C]47[/C][C]-0.018275[/C][C]-0.1416[/C][C]0.443952[/C][/ROW]
[ROW][C]48[/C][C]0.037827[/C][C]0.293[/C][C]0.385264[/C][/ROW]
[ROW][C]49[/C][C]0.011318[/C][C]0.0877[/C][C]0.465215[/C][/ROW]
[ROW][C]50[/C][C]-0.026551[/C][C]-0.2057[/C][C]0.418875[/C][/ROW]
[ROW][C]51[/C][C]0.023917[/C][C]0.1853[/C][C]0.426825[/C][/ROW]
[ROW][C]52[/C][C]-0.014093[/C][C]-0.1092[/C][C]0.45672[/C][/ROW]
[ROW][C]53[/C][C]-0.033799[/C][C]-0.2618[/C][C]0.397184[/C][/ROW]
[ROW][C]54[/C][C]0.022373[/C][C]0.1733[/C][C]0.431499[/C][/ROW]
[ROW][C]55[/C][C]-0.012668[/C][C]-0.0981[/C][C]0.46108[/C][/ROW]
[ROW][C]56[/C][C]-0.02113[/C][C]-0.1637[/C][C]0.435269[/C][/ROW]
[ROW][C]57[/C][C]0.02513[/C][C]0.1947[/C][C]0.423159[/C][/ROW]
[ROW][C]58[/C][C]-0.007035[/C][C]-0.0545[/C][C]0.478361[/C][/ROW]
[ROW][C]59[/C][C]0.004115[/C][C]0.0319[/C][C]0.48734[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33859&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33859&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
10.1094690.84790.199919
2-0.09818-0.76050.224968
3-0.54971-4.2583.7e-05
4-0.20751-1.60740.056612
50.081370.63030.26545
60.3043992.35790.010829
70.0968910.75050.22794
8-0.137407-1.06430.145717
9-0.286219-2.2170.01521
10-0.073054-0.56590.286796
110.1275120.98770.163633
120.467073.61790.000305
130.1150280.8910.188243
14-0.061695-0.47790.317235
15-0.332342-2.57430.006265
16-0.175349-1.35820.089735
170.0448280.34720.364813
180.1654951.28190.102402
190.108060.8370.20295
20-0.141619-1.0970.138517
21-0.021327-0.16520.434671
22-0.076074-0.58930.278948
230.0936580.72550.23549
240.080030.61990.268832
250.0661910.51270.305017
26-0.039025-0.30230.381741
27-0.057422-0.44480.329037
28-0.089821-0.69580.244635
29-0.001484-0.01150.495433
300.0967650.74950.228231
310.0659780.51110.30559
32-0.068691-0.53210.298318
33-0.074442-0.57660.283175
34-0.046555-0.36060.359828
350.0109260.08460.466417
360.0784360.60760.272886
370.0381590.29560.384288
38-0.0067-0.05190.47939
39-0.017968-0.13920.444887
40-0.025308-0.1960.422622
41-0.025332-0.19620.42255
420.0196190.1520.43986
430.0098480.07630.469724
44-0.023837-0.18460.427066
45-0.030944-0.23970.405694
46-0.002846-0.0220.491241
47-0.018275-0.14160.443952
480.0378270.2930.385264
490.0113180.08770.465215
50-0.026551-0.20570.418875
510.0239170.18530.426825
52-0.014093-0.10920.45672
53-0.033799-0.26180.397184
540.0223730.17330.431499
55-0.012668-0.09810.46108
56-0.02113-0.16370.435269
570.025130.19470.423159
58-0.007035-0.05450.478361
590.0041150.03190.48734
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1094690.84790.199919
2-0.111499-0.86370.195604
3-0.538629-4.17224.9e-05
4-0.172073-1.33290.093806
50.0183080.14180.443852
6-0.016466-0.12750.449469
7-0.138696-1.07430.143487
8-0.16265-1.25990.106296
9-0.192787-1.49330.070297
10-0.093643-0.72540.235527
11-0.078023-0.60440.27394
120.3017692.33750.011384
130.0618360.4790.316848
140.0753760.58390.28075
150.1383181.07140.144139
160.0562440.43570.332322
170.077260.59850.275895
18-0.010355-0.08020.46817
190.030960.23980.405644
20-0.117706-0.91170.182775
210.1831171.41840.080622
22-0.018462-0.1430.443383
23-0.103907-0.80490.212039
24-0.119443-0.92520.179284
25-0.032062-0.24840.402355
26-0.077733-0.60210.274683
27-0.028045-0.21720.414382
28-0.034215-0.2650.395949
29-0.041878-0.32440.373387
300.1486561.15150.12705
310.0517830.40110.344881
320.0105220.08150.467657
33-0.080133-0.62070.268571
340.0812070.6290.26586
35-0.085158-0.65960.256007
360.0158210.12260.451436
370.0067750.05250.479162
38-0.046331-0.35890.360473
39-0.016877-0.13070.448213
40-0.022591-0.1750.430839
41-0.017962-0.13910.444906
42-0.14683-1.13730.129959
43-0.031173-0.24150.40501
44-0.081698-0.63280.264624
450.0215990.16730.433848
460.0144220.11170.455711
470.0082040.06350.474771
48-0.066551-0.51550.304049
490.0154160.11940.452675
50-0.037812-0.29290.385309
51-0.013836-0.10720.457505
52-0.04594-0.35580.361601
53-0.118859-0.92070.180453
540.1243730.96340.169609
55-0.062662-0.48540.314588
56-0.043241-0.33490.369417
57-0.010477-0.08120.467795
58-0.028578-0.22140.412781
59-0.026432-0.20470.419233
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.109469 & 0.8479 & 0.199919 \tabularnewline
2 & -0.111499 & -0.8637 & 0.195604 \tabularnewline
3 & -0.538629 & -4.1722 & 4.9e-05 \tabularnewline
4 & -0.172073 & -1.3329 & 0.093806 \tabularnewline
5 & 0.018308 & 0.1418 & 0.443852 \tabularnewline
6 & -0.016466 & -0.1275 & 0.449469 \tabularnewline
7 & -0.138696 & -1.0743 & 0.143487 \tabularnewline
8 & -0.16265 & -1.2599 & 0.106296 \tabularnewline
9 & -0.192787 & -1.4933 & 0.070297 \tabularnewline
10 & -0.093643 & -0.7254 & 0.235527 \tabularnewline
11 & -0.078023 & -0.6044 & 0.27394 \tabularnewline
12 & 0.301769 & 2.3375 & 0.011384 \tabularnewline
13 & 0.061836 & 0.479 & 0.316848 \tabularnewline
14 & 0.075376 & 0.5839 & 0.28075 \tabularnewline
15 & 0.138318 & 1.0714 & 0.144139 \tabularnewline
16 & 0.056244 & 0.4357 & 0.332322 \tabularnewline
17 & 0.07726 & 0.5985 & 0.275895 \tabularnewline
18 & -0.010355 & -0.0802 & 0.46817 \tabularnewline
19 & 0.03096 & 0.2398 & 0.405644 \tabularnewline
20 & -0.117706 & -0.9117 & 0.182775 \tabularnewline
21 & 0.183117 & 1.4184 & 0.080622 \tabularnewline
22 & -0.018462 & -0.143 & 0.443383 \tabularnewline
23 & -0.103907 & -0.8049 & 0.212039 \tabularnewline
24 & -0.119443 & -0.9252 & 0.179284 \tabularnewline
25 & -0.032062 & -0.2484 & 0.402355 \tabularnewline
26 & -0.077733 & -0.6021 & 0.274683 \tabularnewline
27 & -0.028045 & -0.2172 & 0.414382 \tabularnewline
28 & -0.034215 & -0.265 & 0.395949 \tabularnewline
29 & -0.041878 & -0.3244 & 0.373387 \tabularnewline
30 & 0.148656 & 1.1515 & 0.12705 \tabularnewline
31 & 0.051783 & 0.4011 & 0.344881 \tabularnewline
32 & 0.010522 & 0.0815 & 0.467657 \tabularnewline
33 & -0.080133 & -0.6207 & 0.268571 \tabularnewline
34 & 0.081207 & 0.629 & 0.26586 \tabularnewline
35 & -0.085158 & -0.6596 & 0.256007 \tabularnewline
36 & 0.015821 & 0.1226 & 0.451436 \tabularnewline
37 & 0.006775 & 0.0525 & 0.479162 \tabularnewline
38 & -0.046331 & -0.3589 & 0.360473 \tabularnewline
39 & -0.016877 & -0.1307 & 0.448213 \tabularnewline
40 & -0.022591 & -0.175 & 0.430839 \tabularnewline
41 & -0.017962 & -0.1391 & 0.444906 \tabularnewline
42 & -0.14683 & -1.1373 & 0.129959 \tabularnewline
43 & -0.031173 & -0.2415 & 0.40501 \tabularnewline
44 & -0.081698 & -0.6328 & 0.264624 \tabularnewline
45 & 0.021599 & 0.1673 & 0.433848 \tabularnewline
46 & 0.014422 & 0.1117 & 0.455711 \tabularnewline
47 & 0.008204 & 0.0635 & 0.474771 \tabularnewline
48 & -0.066551 & -0.5155 & 0.304049 \tabularnewline
49 & 0.015416 & 0.1194 & 0.452675 \tabularnewline
50 & -0.037812 & -0.2929 & 0.385309 \tabularnewline
51 & -0.013836 & -0.1072 & 0.457505 \tabularnewline
52 & -0.04594 & -0.3558 & 0.361601 \tabularnewline
53 & -0.118859 & -0.9207 & 0.180453 \tabularnewline
54 & 0.124373 & 0.9634 & 0.169609 \tabularnewline
55 & -0.062662 & -0.4854 & 0.314588 \tabularnewline
56 & -0.043241 & -0.3349 & 0.369417 \tabularnewline
57 & -0.010477 & -0.0812 & 0.467795 \tabularnewline
58 & -0.028578 & -0.2214 & 0.412781 \tabularnewline
59 & -0.026432 & -0.2047 & 0.419233 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33859&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]0.109469[/C][C]0.8479[/C][C]0.199919[/C][/ROW]
[ROW][C]2[/C][C]-0.111499[/C][C]-0.8637[/C][C]0.195604[/C][/ROW]
[ROW][C]3[/C][C]-0.538629[/C][C]-4.1722[/C][C]4.9e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.172073[/C][C]-1.3329[/C][C]0.093806[/C][/ROW]
[ROW][C]5[/C][C]0.018308[/C][C]0.1418[/C][C]0.443852[/C][/ROW]
[ROW][C]6[/C][C]-0.016466[/C][C]-0.1275[/C][C]0.449469[/C][/ROW]
[ROW][C]7[/C][C]-0.138696[/C][C]-1.0743[/C][C]0.143487[/C][/ROW]
[ROW][C]8[/C][C]-0.16265[/C][C]-1.2599[/C][C]0.106296[/C][/ROW]
[ROW][C]9[/C][C]-0.192787[/C][C]-1.4933[/C][C]0.070297[/C][/ROW]
[ROW][C]10[/C][C]-0.093643[/C][C]-0.7254[/C][C]0.235527[/C][/ROW]
[ROW][C]11[/C][C]-0.078023[/C][C]-0.6044[/C][C]0.27394[/C][/ROW]
[ROW][C]12[/C][C]0.301769[/C][C]2.3375[/C][C]0.011384[/C][/ROW]
[ROW][C]13[/C][C]0.061836[/C][C]0.479[/C][C]0.316848[/C][/ROW]
[ROW][C]14[/C][C]0.075376[/C][C]0.5839[/C][C]0.28075[/C][/ROW]
[ROW][C]15[/C][C]0.138318[/C][C]1.0714[/C][C]0.144139[/C][/ROW]
[ROW][C]16[/C][C]0.056244[/C][C]0.4357[/C][C]0.332322[/C][/ROW]
[ROW][C]17[/C][C]0.07726[/C][C]0.5985[/C][C]0.275895[/C][/ROW]
[ROW][C]18[/C][C]-0.010355[/C][C]-0.0802[/C][C]0.46817[/C][/ROW]
[ROW][C]19[/C][C]0.03096[/C][C]0.2398[/C][C]0.405644[/C][/ROW]
[ROW][C]20[/C][C]-0.117706[/C][C]-0.9117[/C][C]0.182775[/C][/ROW]
[ROW][C]21[/C][C]0.183117[/C][C]1.4184[/C][C]0.080622[/C][/ROW]
[ROW][C]22[/C][C]-0.018462[/C][C]-0.143[/C][C]0.443383[/C][/ROW]
[ROW][C]23[/C][C]-0.103907[/C][C]-0.8049[/C][C]0.212039[/C][/ROW]
[ROW][C]24[/C][C]-0.119443[/C][C]-0.9252[/C][C]0.179284[/C][/ROW]
[ROW][C]25[/C][C]-0.032062[/C][C]-0.2484[/C][C]0.402355[/C][/ROW]
[ROW][C]26[/C][C]-0.077733[/C][C]-0.6021[/C][C]0.274683[/C][/ROW]
[ROW][C]27[/C][C]-0.028045[/C][C]-0.2172[/C][C]0.414382[/C][/ROW]
[ROW][C]28[/C][C]-0.034215[/C][C]-0.265[/C][C]0.395949[/C][/ROW]
[ROW][C]29[/C][C]-0.041878[/C][C]-0.3244[/C][C]0.373387[/C][/ROW]
[ROW][C]30[/C][C]0.148656[/C][C]1.1515[/C][C]0.12705[/C][/ROW]
[ROW][C]31[/C][C]0.051783[/C][C]0.4011[/C][C]0.344881[/C][/ROW]
[ROW][C]32[/C][C]0.010522[/C][C]0.0815[/C][C]0.467657[/C][/ROW]
[ROW][C]33[/C][C]-0.080133[/C][C]-0.6207[/C][C]0.268571[/C][/ROW]
[ROW][C]34[/C][C]0.081207[/C][C]0.629[/C][C]0.26586[/C][/ROW]
[ROW][C]35[/C][C]-0.085158[/C][C]-0.6596[/C][C]0.256007[/C][/ROW]
[ROW][C]36[/C][C]0.015821[/C][C]0.1226[/C][C]0.451436[/C][/ROW]
[ROW][C]37[/C][C]0.006775[/C][C]0.0525[/C][C]0.479162[/C][/ROW]
[ROW][C]38[/C][C]-0.046331[/C][C]-0.3589[/C][C]0.360473[/C][/ROW]
[ROW][C]39[/C][C]-0.016877[/C][C]-0.1307[/C][C]0.448213[/C][/ROW]
[ROW][C]40[/C][C]-0.022591[/C][C]-0.175[/C][C]0.430839[/C][/ROW]
[ROW][C]41[/C][C]-0.017962[/C][C]-0.1391[/C][C]0.444906[/C][/ROW]
[ROW][C]42[/C][C]-0.14683[/C][C]-1.1373[/C][C]0.129959[/C][/ROW]
[ROW][C]43[/C][C]-0.031173[/C][C]-0.2415[/C][C]0.40501[/C][/ROW]
[ROW][C]44[/C][C]-0.081698[/C][C]-0.6328[/C][C]0.264624[/C][/ROW]
[ROW][C]45[/C][C]0.021599[/C][C]0.1673[/C][C]0.433848[/C][/ROW]
[ROW][C]46[/C][C]0.014422[/C][C]0.1117[/C][C]0.455711[/C][/ROW]
[ROW][C]47[/C][C]0.008204[/C][C]0.0635[/C][C]0.474771[/C][/ROW]
[ROW][C]48[/C][C]-0.066551[/C][C]-0.5155[/C][C]0.304049[/C][/ROW]
[ROW][C]49[/C][C]0.015416[/C][C]0.1194[/C][C]0.452675[/C][/ROW]
[ROW][C]50[/C][C]-0.037812[/C][C]-0.2929[/C][C]0.385309[/C][/ROW]
[ROW][C]51[/C][C]-0.013836[/C][C]-0.1072[/C][C]0.457505[/C][/ROW]
[ROW][C]52[/C][C]-0.04594[/C][C]-0.3558[/C][C]0.361601[/C][/ROW]
[ROW][C]53[/C][C]-0.118859[/C][C]-0.9207[/C][C]0.180453[/C][/ROW]
[ROW][C]54[/C][C]0.124373[/C][C]0.9634[/C][C]0.169609[/C][/ROW]
[ROW][C]55[/C][C]-0.062662[/C][C]-0.4854[/C][C]0.314588[/C][/ROW]
[ROW][C]56[/C][C]-0.043241[/C][C]-0.3349[/C][C]0.369417[/C][/ROW]
[ROW][C]57[/C][C]-0.010477[/C][C]-0.0812[/C][C]0.467795[/C][/ROW]
[ROW][C]58[/C][C]-0.028578[/C][C]-0.2214[/C][C]0.412781[/C][/ROW]
[ROW][C]59[/C][C]-0.026432[/C][C]-0.2047[/C][C]0.419233[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33859&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33859&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
10.1094690.84790.199919
2-0.111499-0.86370.195604
3-0.538629-4.17224.9e-05
4-0.172073-1.33290.093806
50.0183080.14180.443852
6-0.016466-0.12750.449469
7-0.138696-1.07430.143487
8-0.16265-1.25990.106296
9-0.192787-1.49330.070297
10-0.093643-0.72540.235527
11-0.078023-0.60440.27394
120.3017692.33750.011384
130.0618360.4790.316848
140.0753760.58390.28075
150.1383181.07140.144139
160.0562440.43570.332322
170.077260.59850.275895
18-0.010355-0.08020.46817
190.030960.23980.405644
20-0.117706-0.91170.182775
210.1831171.41840.080622
22-0.018462-0.1430.443383
23-0.103907-0.80490.212039
24-0.119443-0.92520.179284
25-0.032062-0.24840.402355
26-0.077733-0.60210.274683
27-0.028045-0.21720.414382
28-0.034215-0.2650.395949
29-0.041878-0.32440.373387
300.1486561.15150.12705
310.0517830.40110.344881
320.0105220.08150.467657
33-0.080133-0.62070.268571
340.0812070.6290.26586
35-0.085158-0.65960.256007
360.0158210.12260.451436
370.0067750.05250.479162
38-0.046331-0.35890.360473
39-0.016877-0.13070.448213
40-0.022591-0.1750.430839
41-0.017962-0.13910.444906
42-0.14683-1.13730.129959
43-0.031173-0.24150.40501
44-0.081698-0.63280.264624
450.0215990.16730.433848
460.0144220.11170.455711
470.0082040.06350.474771
48-0.066551-0.51550.304049
490.0154160.11940.452675
50-0.037812-0.29290.385309
51-0.013836-0.10720.457505
52-0.04594-0.35580.361601
53-0.118859-0.92070.180453
540.1243730.96340.169609
55-0.062662-0.48540.314588
56-0.043241-0.33490.369417
57-0.010477-0.08120.467795
58-0.028578-0.22140.412781
59-0.026432-0.20470.419233
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')