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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 13:22:42 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/29/t1196367187f1ynz4zb0hbhsx1.htm/, Retrieved Fri, 03 May 2024 07:32:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7599, Retrieved Fri, 03 May 2024 07:32:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Melkprijs d=1 & D=0] [2007-11-29 20:22:42] [5a8e7c1f041681f87e3014e302618e0c] [Current]
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Dataseries X:
0,65
0,65
0,66
0,66
0,66
0,66
0,68
0,69
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,71
0,7
0,71
0,7
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,71
0,71
0,7
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,7
0,7




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7599&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7599&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7599&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
1-0.14665-1.12640.86773
20.214881.65050.052075
3-0.087189-0.66970.747174
40.1536861.18050.121272
50.0325990.25040.401576
60.042390.32560.372937
7-0.013258-0.10180.540383
8-0.008579-0.06590.526157
9-0.009012-0.06920.527476
10-0.009445-0.07250.528795
110.1711031.31430.096921
12-0.25162-1.93270.970963
130.109910.84420.200975
14-0.006066-0.04660.518502
150.0487160.37420.354801
16-0.012045-0.09250.5367
17-0.002253-0.01730.506874
18-0.068126-0.52330.698632
190.0572080.43940.330981
20-0.008665-0.06660.526421
21-0.003986-0.03060.512161
220.0559080.42940.334585
23-0.06518-0.50070.690762
240.0550410.42280.336996
250.0546080.41950.338204
26-0.131919-1.01330.84247
270.0486290.37350.355047
28-0.25344-1.94670.971832
290.0477630.36690.357514
30-0.012998-0.09980.539594
31-0.013431-0.10320.540909
32-0.074192-0.56990.714537
33-0.014298-0.10980.543538
34-0.019843-0.15240.560312
350.0400510.30760.379722
360.0396170.30430.380983
37-0.021143-0.16240.564228
380.0387510.29770.383508
39-0.137552-1.05660.852489
400.1585391.21780.114082
41-0.017764-0.13640.554033
42-0.023309-0.1790.570741
43-0.073845-0.56720.71364
440.0463760.35620.361472
45-0.019497-0.14980.559267
46-0.014818-0.11380.545115
47-0.015251-0.11710.546428
48-0.015684-0.12050.54774
49-0.016117-0.12380.549052
50-0.076878-0.59050.721448
51-0.077311-0.59380.722554
52-0.132959-1.02130.844354
53-0.007625-0.05860.523254
540.0021660.01660.49339
550.0017330.01330.494712
56-0.059027-0.45340.674037
570.0008670.00670.497356
580.0004330.00330.498678
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & -0.14665 & -1.1264 & 0.86773 \tabularnewline
2 & 0.21488 & 1.6505 & 0.052075 \tabularnewline
3 & -0.087189 & -0.6697 & 0.747174 \tabularnewline
4 & 0.153686 & 1.1805 & 0.121272 \tabularnewline
5 & 0.032599 & 0.2504 & 0.401576 \tabularnewline
6 & 0.04239 & 0.3256 & 0.372937 \tabularnewline
7 & -0.013258 & -0.1018 & 0.540383 \tabularnewline
8 & -0.008579 & -0.0659 & 0.526157 \tabularnewline
9 & -0.009012 & -0.0692 & 0.527476 \tabularnewline
10 & -0.009445 & -0.0725 & 0.528795 \tabularnewline
11 & 0.171103 & 1.3143 & 0.096921 \tabularnewline
12 & -0.25162 & -1.9327 & 0.970963 \tabularnewline
13 & 0.10991 & 0.8442 & 0.200975 \tabularnewline
14 & -0.006066 & -0.0466 & 0.518502 \tabularnewline
15 & 0.048716 & 0.3742 & 0.354801 \tabularnewline
16 & -0.012045 & -0.0925 & 0.5367 \tabularnewline
17 & -0.002253 & -0.0173 & 0.506874 \tabularnewline
18 & -0.068126 & -0.5233 & 0.698632 \tabularnewline
19 & 0.057208 & 0.4394 & 0.330981 \tabularnewline
20 & -0.008665 & -0.0666 & 0.526421 \tabularnewline
21 & -0.003986 & -0.0306 & 0.512161 \tabularnewline
22 & 0.055908 & 0.4294 & 0.334585 \tabularnewline
23 & -0.06518 & -0.5007 & 0.690762 \tabularnewline
24 & 0.055041 & 0.4228 & 0.336996 \tabularnewline
25 & 0.054608 & 0.4195 & 0.338204 \tabularnewline
26 & -0.131919 & -1.0133 & 0.84247 \tabularnewline
27 & 0.048629 & 0.3735 & 0.355047 \tabularnewline
28 & -0.25344 & -1.9467 & 0.971832 \tabularnewline
29 & 0.047763 & 0.3669 & 0.357514 \tabularnewline
30 & -0.012998 & -0.0998 & 0.539594 \tabularnewline
31 & -0.013431 & -0.1032 & 0.540909 \tabularnewline
32 & -0.074192 & -0.5699 & 0.714537 \tabularnewline
33 & -0.014298 & -0.1098 & 0.543538 \tabularnewline
34 & -0.019843 & -0.1524 & 0.560312 \tabularnewline
35 & 0.040051 & 0.3076 & 0.379722 \tabularnewline
36 & 0.039617 & 0.3043 & 0.380983 \tabularnewline
37 & -0.021143 & -0.1624 & 0.564228 \tabularnewline
38 & 0.038751 & 0.2977 & 0.383508 \tabularnewline
39 & -0.137552 & -1.0566 & 0.852489 \tabularnewline
40 & 0.158539 & 1.2178 & 0.114082 \tabularnewline
41 & -0.017764 & -0.1364 & 0.554033 \tabularnewline
42 & -0.023309 & -0.179 & 0.570741 \tabularnewline
43 & -0.073845 & -0.5672 & 0.71364 \tabularnewline
44 & 0.046376 & 0.3562 & 0.361472 \tabularnewline
45 & -0.019497 & -0.1498 & 0.559267 \tabularnewline
46 & -0.014818 & -0.1138 & 0.545115 \tabularnewline
47 & -0.015251 & -0.1171 & 0.546428 \tabularnewline
48 & -0.015684 & -0.1205 & 0.54774 \tabularnewline
49 & -0.016117 & -0.1238 & 0.549052 \tabularnewline
50 & -0.076878 & -0.5905 & 0.721448 \tabularnewline
51 & -0.077311 & -0.5938 & 0.722554 \tabularnewline
52 & -0.132959 & -1.0213 & 0.844354 \tabularnewline
53 & -0.007625 & -0.0586 & 0.523254 \tabularnewline
54 & 0.002166 & 0.0166 & 0.49339 \tabularnewline
55 & 0.001733 & 0.0133 & 0.494712 \tabularnewline
56 & -0.059027 & -0.4534 & 0.674037 \tabularnewline
57 & 0.000867 & 0.0067 & 0.497356 \tabularnewline
58 & 0.000433 & 0.0033 & 0.498678 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7599&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.14665[/C][C]-1.1264[/C][C]0.86773[/C][/ROW]
[ROW][C]2[/C][C]0.21488[/C][C]1.6505[/C][C]0.052075[/C][/ROW]
[ROW][C]3[/C][C]-0.087189[/C][C]-0.6697[/C][C]0.747174[/C][/ROW]
[ROW][C]4[/C][C]0.153686[/C][C]1.1805[/C][C]0.121272[/C][/ROW]
[ROW][C]5[/C][C]0.032599[/C][C]0.2504[/C][C]0.401576[/C][/ROW]
[ROW][C]6[/C][C]0.04239[/C][C]0.3256[/C][C]0.372937[/C][/ROW]
[ROW][C]7[/C][C]-0.013258[/C][C]-0.1018[/C][C]0.540383[/C][/ROW]
[ROW][C]8[/C][C]-0.008579[/C][C]-0.0659[/C][C]0.526157[/C][/ROW]
[ROW][C]9[/C][C]-0.009012[/C][C]-0.0692[/C][C]0.527476[/C][/ROW]
[ROW][C]10[/C][C]-0.009445[/C][C]-0.0725[/C][C]0.528795[/C][/ROW]
[ROW][C]11[/C][C]0.171103[/C][C]1.3143[/C][C]0.096921[/C][/ROW]
[ROW][C]12[/C][C]-0.25162[/C][C]-1.9327[/C][C]0.970963[/C][/ROW]
[ROW][C]13[/C][C]0.10991[/C][C]0.8442[/C][C]0.200975[/C][/ROW]
[ROW][C]14[/C][C]-0.006066[/C][C]-0.0466[/C][C]0.518502[/C][/ROW]
[ROW][C]15[/C][C]0.048716[/C][C]0.3742[/C][C]0.354801[/C][/ROW]
[ROW][C]16[/C][C]-0.012045[/C][C]-0.0925[/C][C]0.5367[/C][/ROW]
[ROW][C]17[/C][C]-0.002253[/C][C]-0.0173[/C][C]0.506874[/C][/ROW]
[ROW][C]18[/C][C]-0.068126[/C][C]-0.5233[/C][C]0.698632[/C][/ROW]
[ROW][C]19[/C][C]0.057208[/C][C]0.4394[/C][C]0.330981[/C][/ROW]
[ROW][C]20[/C][C]-0.008665[/C][C]-0.0666[/C][C]0.526421[/C][/ROW]
[ROW][C]21[/C][C]-0.003986[/C][C]-0.0306[/C][C]0.512161[/C][/ROW]
[ROW][C]22[/C][C]0.055908[/C][C]0.4294[/C][C]0.334585[/C][/ROW]
[ROW][C]23[/C][C]-0.06518[/C][C]-0.5007[/C][C]0.690762[/C][/ROW]
[ROW][C]24[/C][C]0.055041[/C][C]0.4228[/C][C]0.336996[/C][/ROW]
[ROW][C]25[/C][C]0.054608[/C][C]0.4195[/C][C]0.338204[/C][/ROW]
[ROW][C]26[/C][C]-0.131919[/C][C]-1.0133[/C][C]0.84247[/C][/ROW]
[ROW][C]27[/C][C]0.048629[/C][C]0.3735[/C][C]0.355047[/C][/ROW]
[ROW][C]28[/C][C]-0.25344[/C][C]-1.9467[/C][C]0.971832[/C][/ROW]
[ROW][C]29[/C][C]0.047763[/C][C]0.3669[/C][C]0.357514[/C][/ROW]
[ROW][C]30[/C][C]-0.012998[/C][C]-0.0998[/C][C]0.539594[/C][/ROW]
[ROW][C]31[/C][C]-0.013431[/C][C]-0.1032[/C][C]0.540909[/C][/ROW]
[ROW][C]32[/C][C]-0.074192[/C][C]-0.5699[/C][C]0.714537[/C][/ROW]
[ROW][C]33[/C][C]-0.014298[/C][C]-0.1098[/C][C]0.543538[/C][/ROW]
[ROW][C]34[/C][C]-0.019843[/C][C]-0.1524[/C][C]0.560312[/C][/ROW]
[ROW][C]35[/C][C]0.040051[/C][C]0.3076[/C][C]0.379722[/C][/ROW]
[ROW][C]36[/C][C]0.039617[/C][C]0.3043[/C][C]0.380983[/C][/ROW]
[ROW][C]37[/C][C]-0.021143[/C][C]-0.1624[/C][C]0.564228[/C][/ROW]
[ROW][C]38[/C][C]0.038751[/C][C]0.2977[/C][C]0.383508[/C][/ROW]
[ROW][C]39[/C][C]-0.137552[/C][C]-1.0566[/C][C]0.852489[/C][/ROW]
[ROW][C]40[/C][C]0.158539[/C][C]1.2178[/C][C]0.114082[/C][/ROW]
[ROW][C]41[/C][C]-0.017764[/C][C]-0.1364[/C][C]0.554033[/C][/ROW]
[ROW][C]42[/C][C]-0.023309[/C][C]-0.179[/C][C]0.570741[/C][/ROW]
[ROW][C]43[/C][C]-0.073845[/C][C]-0.5672[/C][C]0.71364[/C][/ROW]
[ROW][C]44[/C][C]0.046376[/C][C]0.3562[/C][C]0.361472[/C][/ROW]
[ROW][C]45[/C][C]-0.019497[/C][C]-0.1498[/C][C]0.559267[/C][/ROW]
[ROW][C]46[/C][C]-0.014818[/C][C]-0.1138[/C][C]0.545115[/C][/ROW]
[ROW][C]47[/C][C]-0.015251[/C][C]-0.1171[/C][C]0.546428[/C][/ROW]
[ROW][C]48[/C][C]-0.015684[/C][C]-0.1205[/C][C]0.54774[/C][/ROW]
[ROW][C]49[/C][C]-0.016117[/C][C]-0.1238[/C][C]0.549052[/C][/ROW]
[ROW][C]50[/C][C]-0.076878[/C][C]-0.5905[/C][C]0.721448[/C][/ROW]
[ROW][C]51[/C][C]-0.077311[/C][C]-0.5938[/C][C]0.722554[/C][/ROW]
[ROW][C]52[/C][C]-0.132959[/C][C]-1.0213[/C][C]0.844354[/C][/ROW]
[ROW][C]53[/C][C]-0.007625[/C][C]-0.0586[/C][C]0.523254[/C][/ROW]
[ROW][C]54[/C][C]0.002166[/C][C]0.0166[/C][C]0.49339[/C][/ROW]
[ROW][C]55[/C][C]0.001733[/C][C]0.0133[/C][C]0.494712[/C][/ROW]
[ROW][C]56[/C][C]-0.059027[/C][C]-0.4534[/C][C]0.674037[/C][/ROW]
[ROW][C]57[/C][C]0.000867[/C][C]0.0067[/C][C]0.497356[/C][/ROW]
[ROW][C]58[/C][C]0.000433[/C][C]0.0033[/C][C]0.498678[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7599&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7599&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
017.68110
1-0.14665-1.12640.86773
20.214881.65050.052075
3-0.087189-0.66970.747174
40.1536861.18050.121272
50.0325990.25040.401576
60.042390.32560.372937
7-0.013258-0.10180.540383
8-0.008579-0.06590.526157
9-0.009012-0.06920.527476
10-0.009445-0.07250.528795
110.1711031.31430.096921
12-0.25162-1.93270.970963
130.109910.84420.200975
14-0.006066-0.04660.518502
150.0487160.37420.354801
16-0.012045-0.09250.5367
17-0.002253-0.01730.506874
18-0.068126-0.52330.698632
190.0572080.43940.330981
20-0.008665-0.06660.526421
21-0.003986-0.03060.512161
220.0559080.42940.334585
23-0.06518-0.50070.690762
240.0550410.42280.336996
250.0546080.41950.338204
26-0.131919-1.01330.84247
270.0486290.37350.355047
28-0.25344-1.94670.971832
290.0477630.36690.357514
30-0.012998-0.09980.539594
31-0.013431-0.10320.540909
32-0.074192-0.56990.714537
33-0.014298-0.10980.543538
34-0.019843-0.15240.560312
350.0400510.30760.379722
360.0396170.30430.380983
37-0.021143-0.16240.564228
380.0387510.29770.383508
39-0.137552-1.05660.852489
400.1585391.21780.114082
41-0.017764-0.13640.554033
42-0.023309-0.1790.570741
43-0.073845-0.56720.71364
440.0463760.35620.361472
45-0.019497-0.14980.559267
46-0.014818-0.11380.545115
47-0.015251-0.11710.546428
48-0.015684-0.12050.54774
49-0.016117-0.12380.549052
50-0.076878-0.59050.721448
51-0.077311-0.59380.722554
52-0.132959-1.02130.844354
53-0.007625-0.05860.523254
540.0021660.01660.49339
550.0017330.01330.494712
56-0.059027-0.45340.674037
570.0008670.00670.497356
580.0004330.00330.498678
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.14665-1.12640.86773
10.1976241.5180.06718
2-0.035014-0.2690.605547
30.1036230.79590.214628
40.0908880.69810.243921
50.0051520.03960.484285
6-0.018552-0.14250.556414
7-0.031145-0.23920.59412
8-0.025462-0.19560.577194
9-0.018151-0.13940.555205
100.1868241.4350.07828
11-0.227017-1.74380.956795
120.010460.08030.468117
130.136631.04950.14912
14-0.046263-0.35540.638204
150.0139810.10740.457423
160.0228060.17520.430772
17-0.105864-0.81320.790302
180.0432460.33220.370465
190.0476740.36620.357765
20-0.076792-0.58980.721228
210.0815050.62610.266847
220.0480820.36930.356603
23-0.098642-0.75770.774172
240.1240990.95320.172184
25-0.137366-1.05510.852166
26-0.050287-0.38630.649654
27-0.185033-1.42130.919748
28-0.022456-0.17250.568178
290.0570550.43830.331402
300.0160130.1230.451262
31-0.022153-0.17020.567266
32-0.031795-0.24420.596046
330.0601460.4620.322895
34-0.009522-0.07310.52903
350.0413690.31780.375894
360.0637460.48960.313103
37-0.069036-0.53030.701046
38-0.070191-0.53910.704092
390.067430.51790.303218
400.0402310.3090.379199
41-0.041268-0.3170.623813
42-0.017589-0.13510.553506
43-0.024687-0.18960.574872
44-0.003251-0.0250.509919
45-0.050435-0.38740.650073
46-0.007206-0.05530.521976
470.0431670.33160.370692
48-0.046355-0.35610.638467
49-0.04019-0.30870.620683
50-0.184733-1.4190.919414
51-0.117698-0.90410.815179
520.1260260.9680.168492
53-0.033753-0.25930.601831
54-0.022833-0.17540.569309
55-0.018306-0.14060.555673
560.0006540.0050.498003
570.0157740.12120.451987
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.14665 & -1.1264 & 0.86773 \tabularnewline
1 & 0.197624 & 1.518 & 0.06718 \tabularnewline
2 & -0.035014 & -0.269 & 0.605547 \tabularnewline
3 & 0.103623 & 0.7959 & 0.214628 \tabularnewline
4 & 0.090888 & 0.6981 & 0.243921 \tabularnewline
5 & 0.005152 & 0.0396 & 0.484285 \tabularnewline
6 & -0.018552 & -0.1425 & 0.556414 \tabularnewline
7 & -0.031145 & -0.2392 & 0.59412 \tabularnewline
8 & -0.025462 & -0.1956 & 0.577194 \tabularnewline
9 & -0.018151 & -0.1394 & 0.555205 \tabularnewline
10 & 0.186824 & 1.435 & 0.07828 \tabularnewline
11 & -0.227017 & -1.7438 & 0.956795 \tabularnewline
12 & 0.01046 & 0.0803 & 0.468117 \tabularnewline
13 & 0.13663 & 1.0495 & 0.14912 \tabularnewline
14 & -0.046263 & -0.3554 & 0.638204 \tabularnewline
15 & 0.013981 & 0.1074 & 0.457423 \tabularnewline
16 & 0.022806 & 0.1752 & 0.430772 \tabularnewline
17 & -0.105864 & -0.8132 & 0.790302 \tabularnewline
18 & 0.043246 & 0.3322 & 0.370465 \tabularnewline
19 & 0.047674 & 0.3662 & 0.357765 \tabularnewline
20 & -0.076792 & -0.5898 & 0.721228 \tabularnewline
21 & 0.081505 & 0.6261 & 0.266847 \tabularnewline
22 & 0.048082 & 0.3693 & 0.356603 \tabularnewline
23 & -0.098642 & -0.7577 & 0.774172 \tabularnewline
24 & 0.124099 & 0.9532 & 0.172184 \tabularnewline
25 & -0.137366 & -1.0551 & 0.852166 \tabularnewline
26 & -0.050287 & -0.3863 & 0.649654 \tabularnewline
27 & -0.185033 & -1.4213 & 0.919748 \tabularnewline
28 & -0.022456 & -0.1725 & 0.568178 \tabularnewline
29 & 0.057055 & 0.4383 & 0.331402 \tabularnewline
30 & 0.016013 & 0.123 & 0.451262 \tabularnewline
31 & -0.022153 & -0.1702 & 0.567266 \tabularnewline
32 & -0.031795 & -0.2442 & 0.596046 \tabularnewline
33 & 0.060146 & 0.462 & 0.322895 \tabularnewline
34 & -0.009522 & -0.0731 & 0.52903 \tabularnewline
35 & 0.041369 & 0.3178 & 0.375894 \tabularnewline
36 & 0.063746 & 0.4896 & 0.313103 \tabularnewline
37 & -0.069036 & -0.5303 & 0.701046 \tabularnewline
38 & -0.070191 & -0.5391 & 0.704092 \tabularnewline
39 & 0.06743 & 0.5179 & 0.303218 \tabularnewline
40 & 0.040231 & 0.309 & 0.379199 \tabularnewline
41 & -0.041268 & -0.317 & 0.623813 \tabularnewline
42 & -0.017589 & -0.1351 & 0.553506 \tabularnewline
43 & -0.024687 & -0.1896 & 0.574872 \tabularnewline
44 & -0.003251 & -0.025 & 0.509919 \tabularnewline
45 & -0.050435 & -0.3874 & 0.650073 \tabularnewline
46 & -0.007206 & -0.0553 & 0.521976 \tabularnewline
47 & 0.043167 & 0.3316 & 0.370692 \tabularnewline
48 & -0.046355 & -0.3561 & 0.638467 \tabularnewline
49 & -0.04019 & -0.3087 & 0.620683 \tabularnewline
50 & -0.184733 & -1.419 & 0.919414 \tabularnewline
51 & -0.117698 & -0.9041 & 0.815179 \tabularnewline
52 & 0.126026 & 0.968 & 0.168492 \tabularnewline
53 & -0.033753 & -0.2593 & 0.601831 \tabularnewline
54 & -0.022833 & -0.1754 & 0.569309 \tabularnewline
55 & -0.018306 & -0.1406 & 0.555673 \tabularnewline
56 & 0.000654 & 0.005 & 0.498003 \tabularnewline
57 & 0.015774 & 0.1212 & 0.451987 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7599&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]-0.14665[/C][C]-1.1264[/C][C]0.86773[/C][/ROW]
[ROW][C]1[/C][C]0.197624[/C][C]1.518[/C][C]0.06718[/C][/ROW]
[ROW][C]2[/C][C]-0.035014[/C][C]-0.269[/C][C]0.605547[/C][/ROW]
[ROW][C]3[/C][C]0.103623[/C][C]0.7959[/C][C]0.214628[/C][/ROW]
[ROW][C]4[/C][C]0.090888[/C][C]0.6981[/C][C]0.243921[/C][/ROW]
[ROW][C]5[/C][C]0.005152[/C][C]0.0396[/C][C]0.484285[/C][/ROW]
[ROW][C]6[/C][C]-0.018552[/C][C]-0.1425[/C][C]0.556414[/C][/ROW]
[ROW][C]7[/C][C]-0.031145[/C][C]-0.2392[/C][C]0.59412[/C][/ROW]
[ROW][C]8[/C][C]-0.025462[/C][C]-0.1956[/C][C]0.577194[/C][/ROW]
[ROW][C]9[/C][C]-0.018151[/C][C]-0.1394[/C][C]0.555205[/C][/ROW]
[ROW][C]10[/C][C]0.186824[/C][C]1.435[/C][C]0.07828[/C][/ROW]
[ROW][C]11[/C][C]-0.227017[/C][C]-1.7438[/C][C]0.956795[/C][/ROW]
[ROW][C]12[/C][C]0.01046[/C][C]0.0803[/C][C]0.468117[/C][/ROW]
[ROW][C]13[/C][C]0.13663[/C][C]1.0495[/C][C]0.14912[/C][/ROW]
[ROW][C]14[/C][C]-0.046263[/C][C]-0.3554[/C][C]0.638204[/C][/ROW]
[ROW][C]15[/C][C]0.013981[/C][C]0.1074[/C][C]0.457423[/C][/ROW]
[ROW][C]16[/C][C]0.022806[/C][C]0.1752[/C][C]0.430772[/C][/ROW]
[ROW][C]17[/C][C]-0.105864[/C][C]-0.8132[/C][C]0.790302[/C][/ROW]
[ROW][C]18[/C][C]0.043246[/C][C]0.3322[/C][C]0.370465[/C][/ROW]
[ROW][C]19[/C][C]0.047674[/C][C]0.3662[/C][C]0.357765[/C][/ROW]
[ROW][C]20[/C][C]-0.076792[/C][C]-0.5898[/C][C]0.721228[/C][/ROW]
[ROW][C]21[/C][C]0.081505[/C][C]0.6261[/C][C]0.266847[/C][/ROW]
[ROW][C]22[/C][C]0.048082[/C][C]0.3693[/C][C]0.356603[/C][/ROW]
[ROW][C]23[/C][C]-0.098642[/C][C]-0.7577[/C][C]0.774172[/C][/ROW]
[ROW][C]24[/C][C]0.124099[/C][C]0.9532[/C][C]0.172184[/C][/ROW]
[ROW][C]25[/C][C]-0.137366[/C][C]-1.0551[/C][C]0.852166[/C][/ROW]
[ROW][C]26[/C][C]-0.050287[/C][C]-0.3863[/C][C]0.649654[/C][/ROW]
[ROW][C]27[/C][C]-0.185033[/C][C]-1.4213[/C][C]0.919748[/C][/ROW]
[ROW][C]28[/C][C]-0.022456[/C][C]-0.1725[/C][C]0.568178[/C][/ROW]
[ROW][C]29[/C][C]0.057055[/C][C]0.4383[/C][C]0.331402[/C][/ROW]
[ROW][C]30[/C][C]0.016013[/C][C]0.123[/C][C]0.451262[/C][/ROW]
[ROW][C]31[/C][C]-0.022153[/C][C]-0.1702[/C][C]0.567266[/C][/ROW]
[ROW][C]32[/C][C]-0.031795[/C][C]-0.2442[/C][C]0.596046[/C][/ROW]
[ROW][C]33[/C][C]0.060146[/C][C]0.462[/C][C]0.322895[/C][/ROW]
[ROW][C]34[/C][C]-0.009522[/C][C]-0.0731[/C][C]0.52903[/C][/ROW]
[ROW][C]35[/C][C]0.041369[/C][C]0.3178[/C][C]0.375894[/C][/ROW]
[ROW][C]36[/C][C]0.063746[/C][C]0.4896[/C][C]0.313103[/C][/ROW]
[ROW][C]37[/C][C]-0.069036[/C][C]-0.5303[/C][C]0.701046[/C][/ROW]
[ROW][C]38[/C][C]-0.070191[/C][C]-0.5391[/C][C]0.704092[/C][/ROW]
[ROW][C]39[/C][C]0.06743[/C][C]0.5179[/C][C]0.303218[/C][/ROW]
[ROW][C]40[/C][C]0.040231[/C][C]0.309[/C][C]0.379199[/C][/ROW]
[ROW][C]41[/C][C]-0.041268[/C][C]-0.317[/C][C]0.623813[/C][/ROW]
[ROW][C]42[/C][C]-0.017589[/C][C]-0.1351[/C][C]0.553506[/C][/ROW]
[ROW][C]43[/C][C]-0.024687[/C][C]-0.1896[/C][C]0.574872[/C][/ROW]
[ROW][C]44[/C][C]-0.003251[/C][C]-0.025[/C][C]0.509919[/C][/ROW]
[ROW][C]45[/C][C]-0.050435[/C][C]-0.3874[/C][C]0.650073[/C][/ROW]
[ROW][C]46[/C][C]-0.007206[/C][C]-0.0553[/C][C]0.521976[/C][/ROW]
[ROW][C]47[/C][C]0.043167[/C][C]0.3316[/C][C]0.370692[/C][/ROW]
[ROW][C]48[/C][C]-0.046355[/C][C]-0.3561[/C][C]0.638467[/C][/ROW]
[ROW][C]49[/C][C]-0.04019[/C][C]-0.3087[/C][C]0.620683[/C][/ROW]
[ROW][C]50[/C][C]-0.184733[/C][C]-1.419[/C][C]0.919414[/C][/ROW]
[ROW][C]51[/C][C]-0.117698[/C][C]-0.9041[/C][C]0.815179[/C][/ROW]
[ROW][C]52[/C][C]0.126026[/C][C]0.968[/C][C]0.168492[/C][/ROW]
[ROW][C]53[/C][C]-0.033753[/C][C]-0.2593[/C][C]0.601831[/C][/ROW]
[ROW][C]54[/C][C]-0.022833[/C][C]-0.1754[/C][C]0.569309[/C][/ROW]
[ROW][C]55[/C][C]-0.018306[/C][C]-0.1406[/C][C]0.555673[/C][/ROW]
[ROW][C]56[/C][C]0.000654[/C][C]0.005[/C][C]0.498003[/C][/ROW]
[ROW][C]57[/C][C]0.015774[/C][C]0.1212[/C][C]0.451987[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7599&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7599&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.14665-1.12640.86773
10.1976241.5180.06718
2-0.035014-0.2690.605547
30.1036230.79590.214628
40.0908880.69810.243921
50.0051520.03960.484285
6-0.018552-0.14250.556414
7-0.031145-0.23920.59412
8-0.025462-0.19560.577194
9-0.018151-0.13940.555205
100.1868241.4350.07828
11-0.227017-1.74380.956795
120.010460.08030.468117
130.136631.04950.14912
14-0.046263-0.35540.638204
150.0139810.10740.457423
160.0228060.17520.430772
17-0.105864-0.81320.790302
180.0432460.33220.370465
190.0476740.36620.357765
20-0.076792-0.58980.721228
210.0815050.62610.266847
220.0480820.36930.356603
23-0.098642-0.75770.774172
240.1240990.95320.172184
25-0.137366-1.05510.852166
26-0.050287-0.38630.649654
27-0.185033-1.42130.919748
28-0.022456-0.17250.568178
290.0570550.43830.331402
300.0160130.1230.451262
31-0.022153-0.17020.567266
32-0.031795-0.24420.596046
330.0601460.4620.322895
34-0.009522-0.07310.52903
350.0413690.31780.375894
360.0637460.48960.313103
37-0.069036-0.53030.701046
38-0.070191-0.53910.704092
390.067430.51790.303218
400.0402310.3090.379199
41-0.041268-0.3170.623813
42-0.017589-0.13510.553506
43-0.024687-0.18960.574872
44-0.003251-0.0250.509919
45-0.050435-0.38740.650073
46-0.007206-0.05530.521976
470.0431670.33160.370692
48-0.046355-0.35610.638467
49-0.04019-0.30870.620683
50-0.184733-1.4190.919414
51-0.117698-0.90410.815179
520.1260260.9680.168492
53-0.033753-0.25930.601831
54-0.022833-0.17540.569309
55-0.018306-0.14060.555673
560.0006540.0050.498003
570.0157740.12120.451987
58NANANA
59NANANA



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 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')