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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 03 Dec 2008 13:09:01 -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/03/t1228334996estbzuhsdnebp2x.htm/, Retrieved Tue, 21 May 2024 01:01:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28872, Retrieved Tue, 21 May 2024 01:01:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD    [(Partial) Autocorrelation Function] [T8 18] [2008-12-03 20:09:01] [fb0ffb935e9c1a725d69519be28b148f] [Current]
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Dataseries X:
33
34
44
38
37
30
35
32
32
37
27
28
27
38
32
38
33
36
40
36
38
33
30
34
33
31
39
41
34
41
37
37
39
37
32
44
48
39
52
39
40
55
39
37
41
46
39
43
41
44
52
49
57
55
41
49
52
47
44
57
57
50
60
49
53
55
46
47
50
52
41
46
47
42
51
41
40
50
41
45
37
55
42
37




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=28872&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=28872&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28872&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
10.3677643.12060.001299
20.3119192.64670.004988
30.3282232.78510.003417
40.3448842.92640.002292
50.2649742.24840.013807
60.1849431.56930.060482
70.207131.75760.041536
80.0805490.68350.248248
90.2278521.93340.02856
100.0806190.68410.248063
110.0505630.4290.334588
12-0.137036-1.16280.124377
13-0.040712-0.34550.365381
140.0670090.56860.285702
15-0.005928-0.05030.48001
16-0.023872-0.20260.420026
17-0.028436-0.24130.405008
180.0606120.51430.304304
19-0.025908-0.21980.413311
20-0.112273-0.95270.171974
21-0.168809-1.43240.07818
22-0.09982-0.8470.1999
230.0037740.0320.487272
24-0.153399-1.30160.098595
25-0.057721-0.48980.312889
26-0.084552-0.71750.237709
27-0.112681-0.95610.171102
28-0.071259-0.60470.273656
29-0.066855-0.56730.286142
30-0.135652-1.1510.126761
31-0.185122-1.57080.060305
320.0006590.00560.497776
33-0.019578-0.16610.434264
34-0.111142-0.94310.1744
35-0.167335-1.41990.079979
36-0.071928-0.61030.271783
37-0.156658-1.32930.093975
38-0.187862-1.59410.057652
39-0.16126-1.36830.08773
40-0.155436-1.31890.095688
41-0.11317-0.96030.170064
42-0.119768-1.01630.156452
43-0.07575-0.64280.261212
44-0.14649-1.2430.108949
45-0.140659-1.19350.118289
46-0.077557-0.65810.25629
47-0.118077-1.00190.159869
48-0.106357-0.90250.184908
49-0.022208-0.18840.425531
50-0.021433-0.18190.428098
51-0.015663-0.13290.447318
52-0.038449-0.32620.372592
53-0.024897-0.21130.416641
54-0.080846-0.6860.247459
550.020260.17190.431995
56-0.030169-0.2560.399343
57-0.018351-0.15570.438348
580.0534760.45380.325683
590.0520570.44170.330009
600.0278410.23620.406958

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.367764 & 3.1206 & 0.001299 \tabularnewline
2 & 0.311919 & 2.6467 & 0.004988 \tabularnewline
3 & 0.328223 & 2.7851 & 0.003417 \tabularnewline
4 & 0.344884 & 2.9264 & 0.002292 \tabularnewline
5 & 0.264974 & 2.2484 & 0.013807 \tabularnewline
6 & 0.184943 & 1.5693 & 0.060482 \tabularnewline
7 & 0.20713 & 1.7576 & 0.041536 \tabularnewline
8 & 0.080549 & 0.6835 & 0.248248 \tabularnewline
9 & 0.227852 & 1.9334 & 0.02856 \tabularnewline
10 & 0.080619 & 0.6841 & 0.248063 \tabularnewline
11 & 0.050563 & 0.429 & 0.334588 \tabularnewline
12 & -0.137036 & -1.1628 & 0.124377 \tabularnewline
13 & -0.040712 & -0.3455 & 0.365381 \tabularnewline
14 & 0.067009 & 0.5686 & 0.285702 \tabularnewline
15 & -0.005928 & -0.0503 & 0.48001 \tabularnewline
16 & -0.023872 & -0.2026 & 0.420026 \tabularnewline
17 & -0.028436 & -0.2413 & 0.405008 \tabularnewline
18 & 0.060612 & 0.5143 & 0.304304 \tabularnewline
19 & -0.025908 & -0.2198 & 0.413311 \tabularnewline
20 & -0.112273 & -0.9527 & 0.171974 \tabularnewline
21 & -0.168809 & -1.4324 & 0.07818 \tabularnewline
22 & -0.09982 & -0.847 & 0.1999 \tabularnewline
23 & 0.003774 & 0.032 & 0.487272 \tabularnewline
24 & -0.153399 & -1.3016 & 0.098595 \tabularnewline
25 & -0.057721 & -0.4898 & 0.312889 \tabularnewline
26 & -0.084552 & -0.7175 & 0.237709 \tabularnewline
27 & -0.112681 & -0.9561 & 0.171102 \tabularnewline
28 & -0.071259 & -0.6047 & 0.273656 \tabularnewline
29 & -0.066855 & -0.5673 & 0.286142 \tabularnewline
30 & -0.135652 & -1.151 & 0.126761 \tabularnewline
31 & -0.185122 & -1.5708 & 0.060305 \tabularnewline
32 & 0.000659 & 0.0056 & 0.497776 \tabularnewline
33 & -0.019578 & -0.1661 & 0.434264 \tabularnewline
34 & -0.111142 & -0.9431 & 0.1744 \tabularnewline
35 & -0.167335 & -1.4199 & 0.079979 \tabularnewline
36 & -0.071928 & -0.6103 & 0.271783 \tabularnewline
37 & -0.156658 & -1.3293 & 0.093975 \tabularnewline
38 & -0.187862 & -1.5941 & 0.057652 \tabularnewline
39 & -0.16126 & -1.3683 & 0.08773 \tabularnewline
40 & -0.155436 & -1.3189 & 0.095688 \tabularnewline
41 & -0.11317 & -0.9603 & 0.170064 \tabularnewline
42 & -0.119768 & -1.0163 & 0.156452 \tabularnewline
43 & -0.07575 & -0.6428 & 0.261212 \tabularnewline
44 & -0.14649 & -1.243 & 0.108949 \tabularnewline
45 & -0.140659 & -1.1935 & 0.118289 \tabularnewline
46 & -0.077557 & -0.6581 & 0.25629 \tabularnewline
47 & -0.118077 & -1.0019 & 0.159869 \tabularnewline
48 & -0.106357 & -0.9025 & 0.184908 \tabularnewline
49 & -0.022208 & -0.1884 & 0.425531 \tabularnewline
50 & -0.021433 & -0.1819 & 0.428098 \tabularnewline
51 & -0.015663 & -0.1329 & 0.447318 \tabularnewline
52 & -0.038449 & -0.3262 & 0.372592 \tabularnewline
53 & -0.024897 & -0.2113 & 0.416641 \tabularnewline
54 & -0.080846 & -0.686 & 0.247459 \tabularnewline
55 & 0.02026 & 0.1719 & 0.431995 \tabularnewline
56 & -0.030169 & -0.256 & 0.399343 \tabularnewline
57 & -0.018351 & -0.1557 & 0.438348 \tabularnewline
58 & 0.053476 & 0.4538 & 0.325683 \tabularnewline
59 & 0.052057 & 0.4417 & 0.330009 \tabularnewline
60 & 0.027841 & 0.2362 & 0.406958 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28872&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]0.367764[/C][C]3.1206[/C][C]0.001299[/C][/ROW]
[ROW][C]2[/C][C]0.311919[/C][C]2.6467[/C][C]0.004988[/C][/ROW]
[ROW][C]3[/C][C]0.328223[/C][C]2.7851[/C][C]0.003417[/C][/ROW]
[ROW][C]4[/C][C]0.344884[/C][C]2.9264[/C][C]0.002292[/C][/ROW]
[ROW][C]5[/C][C]0.264974[/C][C]2.2484[/C][C]0.013807[/C][/ROW]
[ROW][C]6[/C][C]0.184943[/C][C]1.5693[/C][C]0.060482[/C][/ROW]
[ROW][C]7[/C][C]0.20713[/C][C]1.7576[/C][C]0.041536[/C][/ROW]
[ROW][C]8[/C][C]0.080549[/C][C]0.6835[/C][C]0.248248[/C][/ROW]
[ROW][C]9[/C][C]0.227852[/C][C]1.9334[/C][C]0.02856[/C][/ROW]
[ROW][C]10[/C][C]0.080619[/C][C]0.6841[/C][C]0.248063[/C][/ROW]
[ROW][C]11[/C][C]0.050563[/C][C]0.429[/C][C]0.334588[/C][/ROW]
[ROW][C]12[/C][C]-0.137036[/C][C]-1.1628[/C][C]0.124377[/C][/ROW]
[ROW][C]13[/C][C]-0.040712[/C][C]-0.3455[/C][C]0.365381[/C][/ROW]
[ROW][C]14[/C][C]0.067009[/C][C]0.5686[/C][C]0.285702[/C][/ROW]
[ROW][C]15[/C][C]-0.005928[/C][C]-0.0503[/C][C]0.48001[/C][/ROW]
[ROW][C]16[/C][C]-0.023872[/C][C]-0.2026[/C][C]0.420026[/C][/ROW]
[ROW][C]17[/C][C]-0.028436[/C][C]-0.2413[/C][C]0.405008[/C][/ROW]
[ROW][C]18[/C][C]0.060612[/C][C]0.5143[/C][C]0.304304[/C][/ROW]
[ROW][C]19[/C][C]-0.025908[/C][C]-0.2198[/C][C]0.413311[/C][/ROW]
[ROW][C]20[/C][C]-0.112273[/C][C]-0.9527[/C][C]0.171974[/C][/ROW]
[ROW][C]21[/C][C]-0.168809[/C][C]-1.4324[/C][C]0.07818[/C][/ROW]
[ROW][C]22[/C][C]-0.09982[/C][C]-0.847[/C][C]0.1999[/C][/ROW]
[ROW][C]23[/C][C]0.003774[/C][C]0.032[/C][C]0.487272[/C][/ROW]
[ROW][C]24[/C][C]-0.153399[/C][C]-1.3016[/C][C]0.098595[/C][/ROW]
[ROW][C]25[/C][C]-0.057721[/C][C]-0.4898[/C][C]0.312889[/C][/ROW]
[ROW][C]26[/C][C]-0.084552[/C][C]-0.7175[/C][C]0.237709[/C][/ROW]
[ROW][C]27[/C][C]-0.112681[/C][C]-0.9561[/C][C]0.171102[/C][/ROW]
[ROW][C]28[/C][C]-0.071259[/C][C]-0.6047[/C][C]0.273656[/C][/ROW]
[ROW][C]29[/C][C]-0.066855[/C][C]-0.5673[/C][C]0.286142[/C][/ROW]
[ROW][C]30[/C][C]-0.135652[/C][C]-1.151[/C][C]0.126761[/C][/ROW]
[ROW][C]31[/C][C]-0.185122[/C][C]-1.5708[/C][C]0.060305[/C][/ROW]
[ROW][C]32[/C][C]0.000659[/C][C]0.0056[/C][C]0.497776[/C][/ROW]
[ROW][C]33[/C][C]-0.019578[/C][C]-0.1661[/C][C]0.434264[/C][/ROW]
[ROW][C]34[/C][C]-0.111142[/C][C]-0.9431[/C][C]0.1744[/C][/ROW]
[ROW][C]35[/C][C]-0.167335[/C][C]-1.4199[/C][C]0.079979[/C][/ROW]
[ROW][C]36[/C][C]-0.071928[/C][C]-0.6103[/C][C]0.271783[/C][/ROW]
[ROW][C]37[/C][C]-0.156658[/C][C]-1.3293[/C][C]0.093975[/C][/ROW]
[ROW][C]38[/C][C]-0.187862[/C][C]-1.5941[/C][C]0.057652[/C][/ROW]
[ROW][C]39[/C][C]-0.16126[/C][C]-1.3683[/C][C]0.08773[/C][/ROW]
[ROW][C]40[/C][C]-0.155436[/C][C]-1.3189[/C][C]0.095688[/C][/ROW]
[ROW][C]41[/C][C]-0.11317[/C][C]-0.9603[/C][C]0.170064[/C][/ROW]
[ROW][C]42[/C][C]-0.119768[/C][C]-1.0163[/C][C]0.156452[/C][/ROW]
[ROW][C]43[/C][C]-0.07575[/C][C]-0.6428[/C][C]0.261212[/C][/ROW]
[ROW][C]44[/C][C]-0.14649[/C][C]-1.243[/C][C]0.108949[/C][/ROW]
[ROW][C]45[/C][C]-0.140659[/C][C]-1.1935[/C][C]0.118289[/C][/ROW]
[ROW][C]46[/C][C]-0.077557[/C][C]-0.6581[/C][C]0.25629[/C][/ROW]
[ROW][C]47[/C][C]-0.118077[/C][C]-1.0019[/C][C]0.159869[/C][/ROW]
[ROW][C]48[/C][C]-0.106357[/C][C]-0.9025[/C][C]0.184908[/C][/ROW]
[ROW][C]49[/C][C]-0.022208[/C][C]-0.1884[/C][C]0.425531[/C][/ROW]
[ROW][C]50[/C][C]-0.021433[/C][C]-0.1819[/C][C]0.428098[/C][/ROW]
[ROW][C]51[/C][C]-0.015663[/C][C]-0.1329[/C][C]0.447318[/C][/ROW]
[ROW][C]52[/C][C]-0.038449[/C][C]-0.3262[/C][C]0.372592[/C][/ROW]
[ROW][C]53[/C][C]-0.024897[/C][C]-0.2113[/C][C]0.416641[/C][/ROW]
[ROW][C]54[/C][C]-0.080846[/C][C]-0.686[/C][C]0.247459[/C][/ROW]
[ROW][C]55[/C][C]0.02026[/C][C]0.1719[/C][C]0.431995[/C][/ROW]
[ROW][C]56[/C][C]-0.030169[/C][C]-0.256[/C][C]0.399343[/C][/ROW]
[ROW][C]57[/C][C]-0.018351[/C][C]-0.1557[/C][C]0.438348[/C][/ROW]
[ROW][C]58[/C][C]0.053476[/C][C]0.4538[/C][C]0.325683[/C][/ROW]
[ROW][C]59[/C][C]0.052057[/C][C]0.4417[/C][C]0.330009[/C][/ROW]
[ROW][C]60[/C][C]0.027841[/C][C]0.2362[/C][C]0.406958[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28872&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28872&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
10.3677643.12060.001299
20.3119192.64670.004988
30.3282232.78510.003417
40.3448842.92640.002292
50.2649742.24840.013807
60.1849431.56930.060482
70.207131.75760.041536
80.0805490.68350.248248
90.2278521.93340.02856
100.0806190.68410.248063
110.0505630.4290.334588
12-0.137036-1.16280.124377
13-0.040712-0.34550.365381
140.0670090.56860.285702
15-0.005928-0.05030.48001
16-0.023872-0.20260.420026
17-0.028436-0.24130.405008
180.0606120.51430.304304
19-0.025908-0.21980.413311
20-0.112273-0.95270.171974
21-0.168809-1.43240.07818
22-0.09982-0.8470.1999
230.0037740.0320.487272
24-0.153399-1.30160.098595
25-0.057721-0.48980.312889
26-0.084552-0.71750.237709
27-0.112681-0.95610.171102
28-0.071259-0.60470.273656
29-0.066855-0.56730.286142
30-0.135652-1.1510.126761
31-0.185122-1.57080.060305
320.0006590.00560.497776
33-0.019578-0.16610.434264
34-0.111142-0.94310.1744
35-0.167335-1.41990.079979
36-0.071928-0.61030.271783
37-0.156658-1.32930.093975
38-0.187862-1.59410.057652
39-0.16126-1.36830.08773
40-0.155436-1.31890.095688
41-0.11317-0.96030.170064
42-0.119768-1.01630.156452
43-0.07575-0.64280.261212
44-0.14649-1.2430.108949
45-0.140659-1.19350.118289
46-0.077557-0.65810.25629
47-0.118077-1.00190.159869
48-0.106357-0.90250.184908
49-0.022208-0.18840.425531
50-0.021433-0.18190.428098
51-0.015663-0.13290.447318
52-0.038449-0.32620.372592
53-0.024897-0.21130.416641
54-0.080846-0.6860.247459
550.020260.17190.431995
56-0.030169-0.2560.399343
57-0.018351-0.15570.438348
580.0534760.45380.325683
590.0520570.44170.330009
600.0278410.23620.406958







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3677643.12060.001299
20.20431.73350.04364
30.1952691.65690.050944
40.1809341.53530.064549
50.0483120.40990.341534
6-0.035786-0.30370.381133
70.0308940.26210.396978
8-0.126262-1.07140.143791
90.1615971.37120.087286
10-0.083506-0.70860.24044
11-0.042518-0.36080.359661
12-0.269002-2.28260.012706
13-0.020567-0.17450.430973
140.1412161.19830.117372
150.0801860.68040.249216
160.0246910.20950.417321
170.0294970.25030.401537
180.0187130.15880.43714
19-0.030716-0.26060.397559
20-0.196392-1.66640.049985
21-0.117033-0.99310.162003
22-0.006825-0.05790.47699
230.1332721.13090.130935
24-0.166334-1.41140.081219
250.0717490.60880.272282
260.0382640.32470.373184
27-0.033253-0.28220.389316
280.024630.2090.417521
290.0475350.40330.343944
30-0.034302-0.29110.385922
31-0.104726-0.88860.188581
32-0.036088-0.30620.380161
330.034120.28950.386507
34-0.104742-0.88880.188544
35-0.054953-0.46630.321207
36-0.016003-0.13580.446184
37-0.117463-0.99670.161122
38-0.015715-0.13330.447145
39-0.02648-0.22470.411428
400.0350110.29710.383632
410.0459980.39030.34873
42-0.016765-0.14230.443637
430.0037080.03150.487493
44-0.030173-0.2560.399332
45-0.047691-0.40470.343459
460.0078680.06680.473478
47-0.112325-0.95310.171861
48-0.028834-0.24470.403705
490.1167180.99040.162652
50-0.024075-0.20430.419355
51-0.032841-0.27870.390651
52-0.02561-0.21730.414291
530.0861220.73080.233646
54-0.074241-0.630.265358
550.0292930.24860.402204
56-0.032985-0.27990.390184
570.0062980.05340.478764
58-0.004271-0.03620.485595
59-0.02703-0.22940.409621
60-0.029199-0.24780.402512

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.367764 & 3.1206 & 0.001299 \tabularnewline
2 & 0.2043 & 1.7335 & 0.04364 \tabularnewline
3 & 0.195269 & 1.6569 & 0.050944 \tabularnewline
4 & 0.180934 & 1.5353 & 0.064549 \tabularnewline
5 & 0.048312 & 0.4099 & 0.341534 \tabularnewline
6 & -0.035786 & -0.3037 & 0.381133 \tabularnewline
7 & 0.030894 & 0.2621 & 0.396978 \tabularnewline
8 & -0.126262 & -1.0714 & 0.143791 \tabularnewline
9 & 0.161597 & 1.3712 & 0.087286 \tabularnewline
10 & -0.083506 & -0.7086 & 0.24044 \tabularnewline
11 & -0.042518 & -0.3608 & 0.359661 \tabularnewline
12 & -0.269002 & -2.2826 & 0.012706 \tabularnewline
13 & -0.020567 & -0.1745 & 0.430973 \tabularnewline
14 & 0.141216 & 1.1983 & 0.117372 \tabularnewline
15 & 0.080186 & 0.6804 & 0.249216 \tabularnewline
16 & 0.024691 & 0.2095 & 0.417321 \tabularnewline
17 & 0.029497 & 0.2503 & 0.401537 \tabularnewline
18 & 0.018713 & 0.1588 & 0.43714 \tabularnewline
19 & -0.030716 & -0.2606 & 0.397559 \tabularnewline
20 & -0.196392 & -1.6664 & 0.049985 \tabularnewline
21 & -0.117033 & -0.9931 & 0.162003 \tabularnewline
22 & -0.006825 & -0.0579 & 0.47699 \tabularnewline
23 & 0.133272 & 1.1309 & 0.130935 \tabularnewline
24 & -0.166334 & -1.4114 & 0.081219 \tabularnewline
25 & 0.071749 & 0.6088 & 0.272282 \tabularnewline
26 & 0.038264 & 0.3247 & 0.373184 \tabularnewline
27 & -0.033253 & -0.2822 & 0.389316 \tabularnewline
28 & 0.02463 & 0.209 & 0.417521 \tabularnewline
29 & 0.047535 & 0.4033 & 0.343944 \tabularnewline
30 & -0.034302 & -0.2911 & 0.385922 \tabularnewline
31 & -0.104726 & -0.8886 & 0.188581 \tabularnewline
32 & -0.036088 & -0.3062 & 0.380161 \tabularnewline
33 & 0.03412 & 0.2895 & 0.386507 \tabularnewline
34 & -0.104742 & -0.8888 & 0.188544 \tabularnewline
35 & -0.054953 & -0.4663 & 0.321207 \tabularnewline
36 & -0.016003 & -0.1358 & 0.446184 \tabularnewline
37 & -0.117463 & -0.9967 & 0.161122 \tabularnewline
38 & -0.015715 & -0.1333 & 0.447145 \tabularnewline
39 & -0.02648 & -0.2247 & 0.411428 \tabularnewline
40 & 0.035011 & 0.2971 & 0.383632 \tabularnewline
41 & 0.045998 & 0.3903 & 0.34873 \tabularnewline
42 & -0.016765 & -0.1423 & 0.443637 \tabularnewline
43 & 0.003708 & 0.0315 & 0.487493 \tabularnewline
44 & -0.030173 & -0.256 & 0.399332 \tabularnewline
45 & -0.047691 & -0.4047 & 0.343459 \tabularnewline
46 & 0.007868 & 0.0668 & 0.473478 \tabularnewline
47 & -0.112325 & -0.9531 & 0.171861 \tabularnewline
48 & -0.028834 & -0.2447 & 0.403705 \tabularnewline
49 & 0.116718 & 0.9904 & 0.162652 \tabularnewline
50 & -0.024075 & -0.2043 & 0.419355 \tabularnewline
51 & -0.032841 & -0.2787 & 0.390651 \tabularnewline
52 & -0.02561 & -0.2173 & 0.414291 \tabularnewline
53 & 0.086122 & 0.7308 & 0.233646 \tabularnewline
54 & -0.074241 & -0.63 & 0.265358 \tabularnewline
55 & 0.029293 & 0.2486 & 0.402204 \tabularnewline
56 & -0.032985 & -0.2799 & 0.390184 \tabularnewline
57 & 0.006298 & 0.0534 & 0.478764 \tabularnewline
58 & -0.004271 & -0.0362 & 0.485595 \tabularnewline
59 & -0.02703 & -0.2294 & 0.409621 \tabularnewline
60 & -0.029199 & -0.2478 & 0.402512 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28872&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]0.367764[/C][C]3.1206[/C][C]0.001299[/C][/ROW]
[ROW][C]2[/C][C]0.2043[/C][C]1.7335[/C][C]0.04364[/C][/ROW]
[ROW][C]3[/C][C]0.195269[/C][C]1.6569[/C][C]0.050944[/C][/ROW]
[ROW][C]4[/C][C]0.180934[/C][C]1.5353[/C][C]0.064549[/C][/ROW]
[ROW][C]5[/C][C]0.048312[/C][C]0.4099[/C][C]0.341534[/C][/ROW]
[ROW][C]6[/C][C]-0.035786[/C][C]-0.3037[/C][C]0.381133[/C][/ROW]
[ROW][C]7[/C][C]0.030894[/C][C]0.2621[/C][C]0.396978[/C][/ROW]
[ROW][C]8[/C][C]-0.126262[/C][C]-1.0714[/C][C]0.143791[/C][/ROW]
[ROW][C]9[/C][C]0.161597[/C][C]1.3712[/C][C]0.087286[/C][/ROW]
[ROW][C]10[/C][C]-0.083506[/C][C]-0.7086[/C][C]0.24044[/C][/ROW]
[ROW][C]11[/C][C]-0.042518[/C][C]-0.3608[/C][C]0.359661[/C][/ROW]
[ROW][C]12[/C][C]-0.269002[/C][C]-2.2826[/C][C]0.012706[/C][/ROW]
[ROW][C]13[/C][C]-0.020567[/C][C]-0.1745[/C][C]0.430973[/C][/ROW]
[ROW][C]14[/C][C]0.141216[/C][C]1.1983[/C][C]0.117372[/C][/ROW]
[ROW][C]15[/C][C]0.080186[/C][C]0.6804[/C][C]0.249216[/C][/ROW]
[ROW][C]16[/C][C]0.024691[/C][C]0.2095[/C][C]0.417321[/C][/ROW]
[ROW][C]17[/C][C]0.029497[/C][C]0.2503[/C][C]0.401537[/C][/ROW]
[ROW][C]18[/C][C]0.018713[/C][C]0.1588[/C][C]0.43714[/C][/ROW]
[ROW][C]19[/C][C]-0.030716[/C][C]-0.2606[/C][C]0.397559[/C][/ROW]
[ROW][C]20[/C][C]-0.196392[/C][C]-1.6664[/C][C]0.049985[/C][/ROW]
[ROW][C]21[/C][C]-0.117033[/C][C]-0.9931[/C][C]0.162003[/C][/ROW]
[ROW][C]22[/C][C]-0.006825[/C][C]-0.0579[/C][C]0.47699[/C][/ROW]
[ROW][C]23[/C][C]0.133272[/C][C]1.1309[/C][C]0.130935[/C][/ROW]
[ROW][C]24[/C][C]-0.166334[/C][C]-1.4114[/C][C]0.081219[/C][/ROW]
[ROW][C]25[/C][C]0.071749[/C][C]0.6088[/C][C]0.272282[/C][/ROW]
[ROW][C]26[/C][C]0.038264[/C][C]0.3247[/C][C]0.373184[/C][/ROW]
[ROW][C]27[/C][C]-0.033253[/C][C]-0.2822[/C][C]0.389316[/C][/ROW]
[ROW][C]28[/C][C]0.02463[/C][C]0.209[/C][C]0.417521[/C][/ROW]
[ROW][C]29[/C][C]0.047535[/C][C]0.4033[/C][C]0.343944[/C][/ROW]
[ROW][C]30[/C][C]-0.034302[/C][C]-0.2911[/C][C]0.385922[/C][/ROW]
[ROW][C]31[/C][C]-0.104726[/C][C]-0.8886[/C][C]0.188581[/C][/ROW]
[ROW][C]32[/C][C]-0.036088[/C][C]-0.3062[/C][C]0.380161[/C][/ROW]
[ROW][C]33[/C][C]0.03412[/C][C]0.2895[/C][C]0.386507[/C][/ROW]
[ROW][C]34[/C][C]-0.104742[/C][C]-0.8888[/C][C]0.188544[/C][/ROW]
[ROW][C]35[/C][C]-0.054953[/C][C]-0.4663[/C][C]0.321207[/C][/ROW]
[ROW][C]36[/C][C]-0.016003[/C][C]-0.1358[/C][C]0.446184[/C][/ROW]
[ROW][C]37[/C][C]-0.117463[/C][C]-0.9967[/C][C]0.161122[/C][/ROW]
[ROW][C]38[/C][C]-0.015715[/C][C]-0.1333[/C][C]0.447145[/C][/ROW]
[ROW][C]39[/C][C]-0.02648[/C][C]-0.2247[/C][C]0.411428[/C][/ROW]
[ROW][C]40[/C][C]0.035011[/C][C]0.2971[/C][C]0.383632[/C][/ROW]
[ROW][C]41[/C][C]0.045998[/C][C]0.3903[/C][C]0.34873[/C][/ROW]
[ROW][C]42[/C][C]-0.016765[/C][C]-0.1423[/C][C]0.443637[/C][/ROW]
[ROW][C]43[/C][C]0.003708[/C][C]0.0315[/C][C]0.487493[/C][/ROW]
[ROW][C]44[/C][C]-0.030173[/C][C]-0.256[/C][C]0.399332[/C][/ROW]
[ROW][C]45[/C][C]-0.047691[/C][C]-0.4047[/C][C]0.343459[/C][/ROW]
[ROW][C]46[/C][C]0.007868[/C][C]0.0668[/C][C]0.473478[/C][/ROW]
[ROW][C]47[/C][C]-0.112325[/C][C]-0.9531[/C][C]0.171861[/C][/ROW]
[ROW][C]48[/C][C]-0.028834[/C][C]-0.2447[/C][C]0.403705[/C][/ROW]
[ROW][C]49[/C][C]0.116718[/C][C]0.9904[/C][C]0.162652[/C][/ROW]
[ROW][C]50[/C][C]-0.024075[/C][C]-0.2043[/C][C]0.419355[/C][/ROW]
[ROW][C]51[/C][C]-0.032841[/C][C]-0.2787[/C][C]0.390651[/C][/ROW]
[ROW][C]52[/C][C]-0.02561[/C][C]-0.2173[/C][C]0.414291[/C][/ROW]
[ROW][C]53[/C][C]0.086122[/C][C]0.7308[/C][C]0.233646[/C][/ROW]
[ROW][C]54[/C][C]-0.074241[/C][C]-0.63[/C][C]0.265358[/C][/ROW]
[ROW][C]55[/C][C]0.029293[/C][C]0.2486[/C][C]0.402204[/C][/ROW]
[ROW][C]56[/C][C]-0.032985[/C][C]-0.2799[/C][C]0.390184[/C][/ROW]
[ROW][C]57[/C][C]0.006298[/C][C]0.0534[/C][C]0.478764[/C][/ROW]
[ROW][C]58[/C][C]-0.004271[/C][C]-0.0362[/C][C]0.485595[/C][/ROW]
[ROW][C]59[/C][C]-0.02703[/C][C]-0.2294[/C][C]0.409621[/C][/ROW]
[ROW][C]60[/C][C]-0.029199[/C][C]-0.2478[/C][C]0.402512[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28872&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28872&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
10.3677643.12060.001299
20.20431.73350.04364
30.1952691.65690.050944
40.1809341.53530.064549
50.0483120.40990.341534
6-0.035786-0.30370.381133
70.0308940.26210.396978
8-0.126262-1.07140.143791
90.1615971.37120.087286
10-0.083506-0.70860.24044
11-0.042518-0.36080.359661
12-0.269002-2.28260.012706
13-0.020567-0.17450.430973
140.1412161.19830.117372
150.0801860.68040.249216
160.0246910.20950.417321
170.0294970.25030.401537
180.0187130.15880.43714
19-0.030716-0.26060.397559
20-0.196392-1.66640.049985
21-0.117033-0.99310.162003
22-0.006825-0.05790.47699
230.1332721.13090.130935
24-0.166334-1.41140.081219
250.0717490.60880.272282
260.0382640.32470.373184
27-0.033253-0.28220.389316
280.024630.2090.417521
290.0475350.40330.343944
30-0.034302-0.29110.385922
31-0.104726-0.88860.188581
32-0.036088-0.30620.380161
330.034120.28950.386507
34-0.104742-0.88880.188544
35-0.054953-0.46630.321207
36-0.016003-0.13580.446184
37-0.117463-0.99670.161122
38-0.015715-0.13330.447145
39-0.02648-0.22470.411428
400.0350110.29710.383632
410.0459980.39030.34873
42-0.016765-0.14230.443637
430.0037080.03150.487493
44-0.030173-0.2560.399332
45-0.047691-0.40470.343459
460.0078680.06680.473478
47-0.112325-0.95310.171861
48-0.028834-0.24470.403705
490.1167180.99040.162652
50-0.024075-0.20430.419355
51-0.032841-0.27870.390651
52-0.02561-0.21730.414291
530.0861220.73080.233646
54-0.074241-0.630.265358
550.0292930.24860.402204
56-0.032985-0.27990.390184
570.0062980.05340.478764
58-0.004271-0.03620.485595
59-0.02703-0.22940.409621
60-0.029199-0.24780.402512



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.1 ; par3 = 0 ; par4 = 1 ; 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')