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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 computationWed, 17 Dec 2008 01:07:15 -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/17/t1229501295oksisot1n1xslwj.htm/, Retrieved Fri, 17 May 2024 01:41:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34269, Retrieved Fri, 17 May 2024 01:41:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [paper] [2008-12-17 08:04:31] [3a9fc6d5b5e0e816787b7dbace57e7cd]
-   P     [(Partial) Autocorrelation Function] [] [2008-12-17 08:07:15] [821c4b3d195be8e737cf8c9dc649d3cf] [Current]
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Dataseries X:
31.58
27.88
27.32
28.89
28.05
28.73
32.00
34.53
33.47
34.09
35.47
34.59
34.32
32.78
28.38
29.18
28.62
28.20
29.33
29.72
26.29
26.82
27.64
27.10
27.05
26.02
25.76
25.94
24.97
21.74
18.16
16.95
16.46
16.44
18.20
16.44
15.70
13.94
12.23
14.75
14.62
15.04
15.50
16.10
15.44
15.14
15.42
15.69
17.57
18.42
17.96
18.39
17.63
17.95
17.79
17.73
18.99
19.83
20.23
20.24
21.12
21.25
21.80
21.84
22.21
22.64
23.54
23.78
23.65
23.93
24.77
26.26
27.69
29.54
29.31
29.26
28.69
26.16
27.12
29.40
30.99
32.96
32.20
31.67
32.49
33.66
32.44
34.38
32.36
30.73
30.31
27.26
25.05
22.33
18.26
18.30
16.00
14.36
14.98
16.88
16.56
13.31
9.61
9.34
7.89
1.71
0.81
0.71




Summary of computational 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 computational 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=34269&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]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=34269&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34269&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3047763.15260.00105
20.0818050.84620.199666
30.2247772.32510.010977
40.0264050.27310.392636
50.0334550.34610.364987
60.0842280.87130.19278
70.0138710.14350.443091
80.1162111.20210.11599
90.1469051.51960.065781
100.0039250.04060.483847
110.0613150.63420.263636
120.1586751.64130.051831
130.0517060.53490.296932
140.0533460.55180.291113
150.1061291.09780.137376
160.1110151.14830.126693
170.0458110.47390.31828
18-0.057631-0.59610.276169
19-0.003163-0.03270.48698
20-0.130788-1.35290.089472
21-0.107363-1.11060.13462
22-0.100901-1.04370.149481
23-0.112576-1.16450.123406
24-0.03072-0.31780.375638
25-0.077586-0.80260.212005
26-0.131897-1.36440.087659
27-0.039571-0.40930.34156
28-0.013809-0.14280.44334
29-0.056672-0.58620.279482
30-0.041933-0.43380.332669
31-0.075107-0.77690.219463
32-0.079656-0.8240.205896
33-0.057048-0.59010.278181
34-0.096152-0.99460.161086
35-0.149621-1.54770.062325
36-0.03498-0.36180.359094
37-0.05208-0.53870.295598
38-0.069139-0.71520.238028
390.0239830.24810.402272
40-0.068905-0.71280.238774
41-0.062537-0.64690.259544
42-0.057093-0.59060.278026
43-0.150562-1.55740.061161
44-0.095286-0.98560.163266
45-0.080228-0.82990.204225
46-0.064032-0.66240.254585
47-0.045351-0.46910.319972
48-0.06176-0.63880.262143
49-0.125005-1.29310.099387
50-0.07044-0.72860.233907
51-0.015678-0.16220.435736
52-0.087263-0.90270.184369
53-0.01988-0.20560.41873
54-0.04204-0.43490.332269
55-0.07994-0.82690.205066
56-0.008833-0.09140.463686
57-0.027463-0.28410.388451
58-0.03456-0.35750.360714
59-0.023731-0.24550.403279
600.0216960.22440.411428

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.304776 & 3.1526 & 0.00105 \tabularnewline
2 & 0.081805 & 0.8462 & 0.199666 \tabularnewline
3 & 0.224777 & 2.3251 & 0.010977 \tabularnewline
4 & 0.026405 & 0.2731 & 0.392636 \tabularnewline
5 & 0.033455 & 0.3461 & 0.364987 \tabularnewline
6 & 0.084228 & 0.8713 & 0.19278 \tabularnewline
7 & 0.013871 & 0.1435 & 0.443091 \tabularnewline
8 & 0.116211 & 1.2021 & 0.11599 \tabularnewline
9 & 0.146905 & 1.5196 & 0.065781 \tabularnewline
10 & 0.003925 & 0.0406 & 0.483847 \tabularnewline
11 & 0.061315 & 0.6342 & 0.263636 \tabularnewline
12 & 0.158675 & 1.6413 & 0.051831 \tabularnewline
13 & 0.051706 & 0.5349 & 0.296932 \tabularnewline
14 & 0.053346 & 0.5518 & 0.291113 \tabularnewline
15 & 0.106129 & 1.0978 & 0.137376 \tabularnewline
16 & 0.111015 & 1.1483 & 0.126693 \tabularnewline
17 & 0.045811 & 0.4739 & 0.31828 \tabularnewline
18 & -0.057631 & -0.5961 & 0.276169 \tabularnewline
19 & -0.003163 & -0.0327 & 0.48698 \tabularnewline
20 & -0.130788 & -1.3529 & 0.089472 \tabularnewline
21 & -0.107363 & -1.1106 & 0.13462 \tabularnewline
22 & -0.100901 & -1.0437 & 0.149481 \tabularnewline
23 & -0.112576 & -1.1645 & 0.123406 \tabularnewline
24 & -0.03072 & -0.3178 & 0.375638 \tabularnewline
25 & -0.077586 & -0.8026 & 0.212005 \tabularnewline
26 & -0.131897 & -1.3644 & 0.087659 \tabularnewline
27 & -0.039571 & -0.4093 & 0.34156 \tabularnewline
28 & -0.013809 & -0.1428 & 0.44334 \tabularnewline
29 & -0.056672 & -0.5862 & 0.279482 \tabularnewline
30 & -0.041933 & -0.4338 & 0.332669 \tabularnewline
31 & -0.075107 & -0.7769 & 0.219463 \tabularnewline
32 & -0.079656 & -0.824 & 0.205896 \tabularnewline
33 & -0.057048 & -0.5901 & 0.278181 \tabularnewline
34 & -0.096152 & -0.9946 & 0.161086 \tabularnewline
35 & -0.149621 & -1.5477 & 0.062325 \tabularnewline
36 & -0.03498 & -0.3618 & 0.359094 \tabularnewline
37 & -0.05208 & -0.5387 & 0.295598 \tabularnewline
38 & -0.069139 & -0.7152 & 0.238028 \tabularnewline
39 & 0.023983 & 0.2481 & 0.402272 \tabularnewline
40 & -0.068905 & -0.7128 & 0.238774 \tabularnewline
41 & -0.062537 & -0.6469 & 0.259544 \tabularnewline
42 & -0.057093 & -0.5906 & 0.278026 \tabularnewline
43 & -0.150562 & -1.5574 & 0.061161 \tabularnewline
44 & -0.095286 & -0.9856 & 0.163266 \tabularnewline
45 & -0.080228 & -0.8299 & 0.204225 \tabularnewline
46 & -0.064032 & -0.6624 & 0.254585 \tabularnewline
47 & -0.045351 & -0.4691 & 0.319972 \tabularnewline
48 & -0.06176 & -0.6388 & 0.262143 \tabularnewline
49 & -0.125005 & -1.2931 & 0.099387 \tabularnewline
50 & -0.07044 & -0.7286 & 0.233907 \tabularnewline
51 & -0.015678 & -0.1622 & 0.435736 \tabularnewline
52 & -0.087263 & -0.9027 & 0.184369 \tabularnewline
53 & -0.01988 & -0.2056 & 0.41873 \tabularnewline
54 & -0.04204 & -0.4349 & 0.332269 \tabularnewline
55 & -0.07994 & -0.8269 & 0.205066 \tabularnewline
56 & -0.008833 & -0.0914 & 0.463686 \tabularnewline
57 & -0.027463 & -0.2841 & 0.388451 \tabularnewline
58 & -0.03456 & -0.3575 & 0.360714 \tabularnewline
59 & -0.023731 & -0.2455 & 0.403279 \tabularnewline
60 & 0.021696 & 0.2244 & 0.411428 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34269&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]0.304776[/C][C]3.1526[/C][C]0.00105[/C][/ROW]
[ROW][C]2[/C][C]0.081805[/C][C]0.8462[/C][C]0.199666[/C][/ROW]
[ROW][C]3[/C][C]0.224777[/C][C]2.3251[/C][C]0.010977[/C][/ROW]
[ROW][C]4[/C][C]0.026405[/C][C]0.2731[/C][C]0.392636[/C][/ROW]
[ROW][C]5[/C][C]0.033455[/C][C]0.3461[/C][C]0.364987[/C][/ROW]
[ROW][C]6[/C][C]0.084228[/C][C]0.8713[/C][C]0.19278[/C][/ROW]
[ROW][C]7[/C][C]0.013871[/C][C]0.1435[/C][C]0.443091[/C][/ROW]
[ROW][C]8[/C][C]0.116211[/C][C]1.2021[/C][C]0.11599[/C][/ROW]
[ROW][C]9[/C][C]0.146905[/C][C]1.5196[/C][C]0.065781[/C][/ROW]
[ROW][C]10[/C][C]0.003925[/C][C]0.0406[/C][C]0.483847[/C][/ROW]
[ROW][C]11[/C][C]0.061315[/C][C]0.6342[/C][C]0.263636[/C][/ROW]
[ROW][C]12[/C][C]0.158675[/C][C]1.6413[/C][C]0.051831[/C][/ROW]
[ROW][C]13[/C][C]0.051706[/C][C]0.5349[/C][C]0.296932[/C][/ROW]
[ROW][C]14[/C][C]0.053346[/C][C]0.5518[/C][C]0.291113[/C][/ROW]
[ROW][C]15[/C][C]0.106129[/C][C]1.0978[/C][C]0.137376[/C][/ROW]
[ROW][C]16[/C][C]0.111015[/C][C]1.1483[/C][C]0.126693[/C][/ROW]
[ROW][C]17[/C][C]0.045811[/C][C]0.4739[/C][C]0.31828[/C][/ROW]
[ROW][C]18[/C][C]-0.057631[/C][C]-0.5961[/C][C]0.276169[/C][/ROW]
[ROW][C]19[/C][C]-0.003163[/C][C]-0.0327[/C][C]0.48698[/C][/ROW]
[ROW][C]20[/C][C]-0.130788[/C][C]-1.3529[/C][C]0.089472[/C][/ROW]
[ROW][C]21[/C][C]-0.107363[/C][C]-1.1106[/C][C]0.13462[/C][/ROW]
[ROW][C]22[/C][C]-0.100901[/C][C]-1.0437[/C][C]0.149481[/C][/ROW]
[ROW][C]23[/C][C]-0.112576[/C][C]-1.1645[/C][C]0.123406[/C][/ROW]
[ROW][C]24[/C][C]-0.03072[/C][C]-0.3178[/C][C]0.375638[/C][/ROW]
[ROW][C]25[/C][C]-0.077586[/C][C]-0.8026[/C][C]0.212005[/C][/ROW]
[ROW][C]26[/C][C]-0.131897[/C][C]-1.3644[/C][C]0.087659[/C][/ROW]
[ROW][C]27[/C][C]-0.039571[/C][C]-0.4093[/C][C]0.34156[/C][/ROW]
[ROW][C]28[/C][C]-0.013809[/C][C]-0.1428[/C][C]0.44334[/C][/ROW]
[ROW][C]29[/C][C]-0.056672[/C][C]-0.5862[/C][C]0.279482[/C][/ROW]
[ROW][C]30[/C][C]-0.041933[/C][C]-0.4338[/C][C]0.332669[/C][/ROW]
[ROW][C]31[/C][C]-0.075107[/C][C]-0.7769[/C][C]0.219463[/C][/ROW]
[ROW][C]32[/C][C]-0.079656[/C][C]-0.824[/C][C]0.205896[/C][/ROW]
[ROW][C]33[/C][C]-0.057048[/C][C]-0.5901[/C][C]0.278181[/C][/ROW]
[ROW][C]34[/C][C]-0.096152[/C][C]-0.9946[/C][C]0.161086[/C][/ROW]
[ROW][C]35[/C][C]-0.149621[/C][C]-1.5477[/C][C]0.062325[/C][/ROW]
[ROW][C]36[/C][C]-0.03498[/C][C]-0.3618[/C][C]0.359094[/C][/ROW]
[ROW][C]37[/C][C]-0.05208[/C][C]-0.5387[/C][C]0.295598[/C][/ROW]
[ROW][C]38[/C][C]-0.069139[/C][C]-0.7152[/C][C]0.238028[/C][/ROW]
[ROW][C]39[/C][C]0.023983[/C][C]0.2481[/C][C]0.402272[/C][/ROW]
[ROW][C]40[/C][C]-0.068905[/C][C]-0.7128[/C][C]0.238774[/C][/ROW]
[ROW][C]41[/C][C]-0.062537[/C][C]-0.6469[/C][C]0.259544[/C][/ROW]
[ROW][C]42[/C][C]-0.057093[/C][C]-0.5906[/C][C]0.278026[/C][/ROW]
[ROW][C]43[/C][C]-0.150562[/C][C]-1.5574[/C][C]0.061161[/C][/ROW]
[ROW][C]44[/C][C]-0.095286[/C][C]-0.9856[/C][C]0.163266[/C][/ROW]
[ROW][C]45[/C][C]-0.080228[/C][C]-0.8299[/C][C]0.204225[/C][/ROW]
[ROW][C]46[/C][C]-0.064032[/C][C]-0.6624[/C][C]0.254585[/C][/ROW]
[ROW][C]47[/C][C]-0.045351[/C][C]-0.4691[/C][C]0.319972[/C][/ROW]
[ROW][C]48[/C][C]-0.06176[/C][C]-0.6388[/C][C]0.262143[/C][/ROW]
[ROW][C]49[/C][C]-0.125005[/C][C]-1.2931[/C][C]0.099387[/C][/ROW]
[ROW][C]50[/C][C]-0.07044[/C][C]-0.7286[/C][C]0.233907[/C][/ROW]
[ROW][C]51[/C][C]-0.015678[/C][C]-0.1622[/C][C]0.435736[/C][/ROW]
[ROW][C]52[/C][C]-0.087263[/C][C]-0.9027[/C][C]0.184369[/C][/ROW]
[ROW][C]53[/C][C]-0.01988[/C][C]-0.2056[/C][C]0.41873[/C][/ROW]
[ROW][C]54[/C][C]-0.04204[/C][C]-0.4349[/C][C]0.332269[/C][/ROW]
[ROW][C]55[/C][C]-0.07994[/C][C]-0.8269[/C][C]0.205066[/C][/ROW]
[ROW][C]56[/C][C]-0.008833[/C][C]-0.0914[/C][C]0.463686[/C][/ROW]
[ROW][C]57[/C][C]-0.027463[/C][C]-0.2841[/C][C]0.388451[/C][/ROW]
[ROW][C]58[/C][C]-0.03456[/C][C]-0.3575[/C][C]0.360714[/C][/ROW]
[ROW][C]59[/C][C]-0.023731[/C][C]-0.2455[/C][C]0.403279[/C][/ROW]
[ROW][C]60[/C][C]0.021696[/C][C]0.2244[/C][C]0.411428[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34269&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34269&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
10.3047763.15260.00105
20.0818050.84620.199666
30.2247772.32510.010977
40.0264050.27310.392636
50.0334550.34610.364987
60.0842280.87130.19278
70.0138710.14350.443091
80.1162111.20210.11599
90.1469051.51960.065781
100.0039250.04060.483847
110.0613150.63420.263636
120.1586751.64130.051831
130.0517060.53490.296932
140.0533460.55180.291113
150.1061291.09780.137376
160.1110151.14830.126693
170.0458110.47390.31828
18-0.057631-0.59610.276169
19-0.003163-0.03270.48698
20-0.130788-1.35290.089472
21-0.107363-1.11060.13462
22-0.100901-1.04370.149481
23-0.112576-1.16450.123406
24-0.03072-0.31780.375638
25-0.077586-0.80260.212005
26-0.131897-1.36440.087659
27-0.039571-0.40930.34156
28-0.013809-0.14280.44334
29-0.056672-0.58620.279482
30-0.041933-0.43380.332669
31-0.075107-0.77690.219463
32-0.079656-0.8240.205896
33-0.057048-0.59010.278181
34-0.096152-0.99460.161086
35-0.149621-1.54770.062325
36-0.03498-0.36180.359094
37-0.05208-0.53870.295598
38-0.069139-0.71520.238028
390.0239830.24810.402272
40-0.068905-0.71280.238774
41-0.062537-0.64690.259544
42-0.057093-0.59060.278026
43-0.150562-1.55740.061161
44-0.095286-0.98560.163266
45-0.080228-0.82990.204225
46-0.064032-0.66240.254585
47-0.045351-0.46910.319972
48-0.06176-0.63880.262143
49-0.125005-1.29310.099387
50-0.07044-0.72860.233907
51-0.015678-0.16220.435736
52-0.087263-0.90270.184369
53-0.01988-0.20560.41873
54-0.04204-0.43490.332269
55-0.07994-0.82690.205066
56-0.008833-0.09140.463686
57-0.027463-0.28410.388451
58-0.03456-0.35750.360714
59-0.023731-0.24550.403279
600.0216960.22440.411428







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3047763.15260.00105
2-0.012218-0.12640.449832
30.2241112.31820.011169
4-0.122126-1.26330.104618
50.0716640.74130.230067
60.0062290.06440.474373
70.0076050.07870.468721
80.1150881.19050.118245
90.0643240.66540.253623
10-0.058762-0.60780.272291
110.0421220.43570.33196
120.1062451.0990.137116
13-0.006253-0.06470.474273
140.0176560.18260.427714
150.0392480.4060.342782
160.0848130.87730.191142
17-0.05583-0.57750.282405
18-0.105553-1.09180.138676
190.0306080.31660.376077
20-0.205668-2.12740.01784
210.0007780.0080.496797
22-0.118701-1.22780.111099
23-0.006535-0.06760.473115
24-0.037684-0.38980.348727
25-0.075374-0.77970.218652
26-0.05697-0.58930.278451
270.0024160.0250.490054
280.0165380.17110.432246
290.0129540.1340.446829
30-0.003108-0.03210.487207
31-0.057486-0.59460.27667
320.0243570.2520.40078
33-0.00782-0.08090.467841
340.0207050.21420.415411
35-0.083536-0.86410.194733
360.0847420.87660.19134
370.0070620.07310.470951
380.0086370.08930.464487
390.0832390.8610.195572
40-0.124936-1.29230.099511
410.0421980.43650.331675
42-0.108006-1.11720.1332
43-0.079513-0.82250.206314
44-0.047737-0.49380.311231
45-0.093882-0.97110.166838
460.0283090.29280.385108
47-0.059569-0.61620.269541
48-0.040671-0.42070.337408
49-0.12212-1.26320.104628
500.0278670.28830.386855
51-0.007808-0.08080.46789
52-0.038649-0.39980.345054
530.0012210.01260.494975
54-0.033276-0.34420.365681
55-0.043038-0.44520.328541
560.0373390.38620.350044
570.0409780.42390.336254
58-0.004608-0.04770.481037
590.0590350.61070.27136
600.0403550.41740.338597

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.304776 & 3.1526 & 0.00105 \tabularnewline
2 & -0.012218 & -0.1264 & 0.449832 \tabularnewline
3 & 0.224111 & 2.3182 & 0.011169 \tabularnewline
4 & -0.122126 & -1.2633 & 0.104618 \tabularnewline
5 & 0.071664 & 0.7413 & 0.230067 \tabularnewline
6 & 0.006229 & 0.0644 & 0.474373 \tabularnewline
7 & 0.007605 & 0.0787 & 0.468721 \tabularnewline
8 & 0.115088 & 1.1905 & 0.118245 \tabularnewline
9 & 0.064324 & 0.6654 & 0.253623 \tabularnewline
10 & -0.058762 & -0.6078 & 0.272291 \tabularnewline
11 & 0.042122 & 0.4357 & 0.33196 \tabularnewline
12 & 0.106245 & 1.099 & 0.137116 \tabularnewline
13 & -0.006253 & -0.0647 & 0.474273 \tabularnewline
14 & 0.017656 & 0.1826 & 0.427714 \tabularnewline
15 & 0.039248 & 0.406 & 0.342782 \tabularnewline
16 & 0.084813 & 0.8773 & 0.191142 \tabularnewline
17 & -0.05583 & -0.5775 & 0.282405 \tabularnewline
18 & -0.105553 & -1.0918 & 0.138676 \tabularnewline
19 & 0.030608 & 0.3166 & 0.376077 \tabularnewline
20 & -0.205668 & -2.1274 & 0.01784 \tabularnewline
21 & 0.000778 & 0.008 & 0.496797 \tabularnewline
22 & -0.118701 & -1.2278 & 0.111099 \tabularnewline
23 & -0.006535 & -0.0676 & 0.473115 \tabularnewline
24 & -0.037684 & -0.3898 & 0.348727 \tabularnewline
25 & -0.075374 & -0.7797 & 0.218652 \tabularnewline
26 & -0.05697 & -0.5893 & 0.278451 \tabularnewline
27 & 0.002416 & 0.025 & 0.490054 \tabularnewline
28 & 0.016538 & 0.1711 & 0.432246 \tabularnewline
29 & 0.012954 & 0.134 & 0.446829 \tabularnewline
30 & -0.003108 & -0.0321 & 0.487207 \tabularnewline
31 & -0.057486 & -0.5946 & 0.27667 \tabularnewline
32 & 0.024357 & 0.252 & 0.40078 \tabularnewline
33 & -0.00782 & -0.0809 & 0.467841 \tabularnewline
34 & 0.020705 & 0.2142 & 0.415411 \tabularnewline
35 & -0.083536 & -0.8641 & 0.194733 \tabularnewline
36 & 0.084742 & 0.8766 & 0.19134 \tabularnewline
37 & 0.007062 & 0.0731 & 0.470951 \tabularnewline
38 & 0.008637 & 0.0893 & 0.464487 \tabularnewline
39 & 0.083239 & 0.861 & 0.195572 \tabularnewline
40 & -0.124936 & -1.2923 & 0.099511 \tabularnewline
41 & 0.042198 & 0.4365 & 0.331675 \tabularnewline
42 & -0.108006 & -1.1172 & 0.1332 \tabularnewline
43 & -0.079513 & -0.8225 & 0.206314 \tabularnewline
44 & -0.047737 & -0.4938 & 0.311231 \tabularnewline
45 & -0.093882 & -0.9711 & 0.166838 \tabularnewline
46 & 0.028309 & 0.2928 & 0.385108 \tabularnewline
47 & -0.059569 & -0.6162 & 0.269541 \tabularnewline
48 & -0.040671 & -0.4207 & 0.337408 \tabularnewline
49 & -0.12212 & -1.2632 & 0.104628 \tabularnewline
50 & 0.027867 & 0.2883 & 0.386855 \tabularnewline
51 & -0.007808 & -0.0808 & 0.46789 \tabularnewline
52 & -0.038649 & -0.3998 & 0.345054 \tabularnewline
53 & 0.001221 & 0.0126 & 0.494975 \tabularnewline
54 & -0.033276 & -0.3442 & 0.365681 \tabularnewline
55 & -0.043038 & -0.4452 & 0.328541 \tabularnewline
56 & 0.037339 & 0.3862 & 0.350044 \tabularnewline
57 & 0.040978 & 0.4239 & 0.336254 \tabularnewline
58 & -0.004608 & -0.0477 & 0.481037 \tabularnewline
59 & 0.059035 & 0.6107 & 0.27136 \tabularnewline
60 & 0.040355 & 0.4174 & 0.338597 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34269&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]0.304776[/C][C]3.1526[/C][C]0.00105[/C][/ROW]
[ROW][C]2[/C][C]-0.012218[/C][C]-0.1264[/C][C]0.449832[/C][/ROW]
[ROW][C]3[/C][C]0.224111[/C][C]2.3182[/C][C]0.011169[/C][/ROW]
[ROW][C]4[/C][C]-0.122126[/C][C]-1.2633[/C][C]0.104618[/C][/ROW]
[ROW][C]5[/C][C]0.071664[/C][C]0.7413[/C][C]0.230067[/C][/ROW]
[ROW][C]6[/C][C]0.006229[/C][C]0.0644[/C][C]0.474373[/C][/ROW]
[ROW][C]7[/C][C]0.007605[/C][C]0.0787[/C][C]0.468721[/C][/ROW]
[ROW][C]8[/C][C]0.115088[/C][C]1.1905[/C][C]0.118245[/C][/ROW]
[ROW][C]9[/C][C]0.064324[/C][C]0.6654[/C][C]0.253623[/C][/ROW]
[ROW][C]10[/C][C]-0.058762[/C][C]-0.6078[/C][C]0.272291[/C][/ROW]
[ROW][C]11[/C][C]0.042122[/C][C]0.4357[/C][C]0.33196[/C][/ROW]
[ROW][C]12[/C][C]0.106245[/C][C]1.099[/C][C]0.137116[/C][/ROW]
[ROW][C]13[/C][C]-0.006253[/C][C]-0.0647[/C][C]0.474273[/C][/ROW]
[ROW][C]14[/C][C]0.017656[/C][C]0.1826[/C][C]0.427714[/C][/ROW]
[ROW][C]15[/C][C]0.039248[/C][C]0.406[/C][C]0.342782[/C][/ROW]
[ROW][C]16[/C][C]0.084813[/C][C]0.8773[/C][C]0.191142[/C][/ROW]
[ROW][C]17[/C][C]-0.05583[/C][C]-0.5775[/C][C]0.282405[/C][/ROW]
[ROW][C]18[/C][C]-0.105553[/C][C]-1.0918[/C][C]0.138676[/C][/ROW]
[ROW][C]19[/C][C]0.030608[/C][C]0.3166[/C][C]0.376077[/C][/ROW]
[ROW][C]20[/C][C]-0.205668[/C][C]-2.1274[/C][C]0.01784[/C][/ROW]
[ROW][C]21[/C][C]0.000778[/C][C]0.008[/C][C]0.496797[/C][/ROW]
[ROW][C]22[/C][C]-0.118701[/C][C]-1.2278[/C][C]0.111099[/C][/ROW]
[ROW][C]23[/C][C]-0.006535[/C][C]-0.0676[/C][C]0.473115[/C][/ROW]
[ROW][C]24[/C][C]-0.037684[/C][C]-0.3898[/C][C]0.348727[/C][/ROW]
[ROW][C]25[/C][C]-0.075374[/C][C]-0.7797[/C][C]0.218652[/C][/ROW]
[ROW][C]26[/C][C]-0.05697[/C][C]-0.5893[/C][C]0.278451[/C][/ROW]
[ROW][C]27[/C][C]0.002416[/C][C]0.025[/C][C]0.490054[/C][/ROW]
[ROW][C]28[/C][C]0.016538[/C][C]0.1711[/C][C]0.432246[/C][/ROW]
[ROW][C]29[/C][C]0.012954[/C][C]0.134[/C][C]0.446829[/C][/ROW]
[ROW][C]30[/C][C]-0.003108[/C][C]-0.0321[/C][C]0.487207[/C][/ROW]
[ROW][C]31[/C][C]-0.057486[/C][C]-0.5946[/C][C]0.27667[/C][/ROW]
[ROW][C]32[/C][C]0.024357[/C][C]0.252[/C][C]0.40078[/C][/ROW]
[ROW][C]33[/C][C]-0.00782[/C][C]-0.0809[/C][C]0.467841[/C][/ROW]
[ROW][C]34[/C][C]0.020705[/C][C]0.2142[/C][C]0.415411[/C][/ROW]
[ROW][C]35[/C][C]-0.083536[/C][C]-0.8641[/C][C]0.194733[/C][/ROW]
[ROW][C]36[/C][C]0.084742[/C][C]0.8766[/C][C]0.19134[/C][/ROW]
[ROW][C]37[/C][C]0.007062[/C][C]0.0731[/C][C]0.470951[/C][/ROW]
[ROW][C]38[/C][C]0.008637[/C][C]0.0893[/C][C]0.464487[/C][/ROW]
[ROW][C]39[/C][C]0.083239[/C][C]0.861[/C][C]0.195572[/C][/ROW]
[ROW][C]40[/C][C]-0.124936[/C][C]-1.2923[/C][C]0.099511[/C][/ROW]
[ROW][C]41[/C][C]0.042198[/C][C]0.4365[/C][C]0.331675[/C][/ROW]
[ROW][C]42[/C][C]-0.108006[/C][C]-1.1172[/C][C]0.1332[/C][/ROW]
[ROW][C]43[/C][C]-0.079513[/C][C]-0.8225[/C][C]0.206314[/C][/ROW]
[ROW][C]44[/C][C]-0.047737[/C][C]-0.4938[/C][C]0.311231[/C][/ROW]
[ROW][C]45[/C][C]-0.093882[/C][C]-0.9711[/C][C]0.166838[/C][/ROW]
[ROW][C]46[/C][C]0.028309[/C][C]0.2928[/C][C]0.385108[/C][/ROW]
[ROW][C]47[/C][C]-0.059569[/C][C]-0.6162[/C][C]0.269541[/C][/ROW]
[ROW][C]48[/C][C]-0.040671[/C][C]-0.4207[/C][C]0.337408[/C][/ROW]
[ROW][C]49[/C][C]-0.12212[/C][C]-1.2632[/C][C]0.104628[/C][/ROW]
[ROW][C]50[/C][C]0.027867[/C][C]0.2883[/C][C]0.386855[/C][/ROW]
[ROW][C]51[/C][C]-0.007808[/C][C]-0.0808[/C][C]0.46789[/C][/ROW]
[ROW][C]52[/C][C]-0.038649[/C][C]-0.3998[/C][C]0.345054[/C][/ROW]
[ROW][C]53[/C][C]0.001221[/C][C]0.0126[/C][C]0.494975[/C][/ROW]
[ROW][C]54[/C][C]-0.033276[/C][C]-0.3442[/C][C]0.365681[/C][/ROW]
[ROW][C]55[/C][C]-0.043038[/C][C]-0.4452[/C][C]0.328541[/C][/ROW]
[ROW][C]56[/C][C]0.037339[/C][C]0.3862[/C][C]0.350044[/C][/ROW]
[ROW][C]57[/C][C]0.040978[/C][C]0.4239[/C][C]0.336254[/C][/ROW]
[ROW][C]58[/C][C]-0.004608[/C][C]-0.0477[/C][C]0.481037[/C][/ROW]
[ROW][C]59[/C][C]0.059035[/C][C]0.6107[/C][C]0.27136[/C][/ROW]
[ROW][C]60[/C][C]0.040355[/C][C]0.4174[/C][C]0.338597[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34269&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34269&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
10.3047763.15260.00105
2-0.012218-0.12640.449832
30.2241112.31820.011169
4-0.122126-1.26330.104618
50.0716640.74130.230067
60.0062290.06440.474373
70.0076050.07870.468721
80.1150881.19050.118245
90.0643240.66540.253623
10-0.058762-0.60780.272291
110.0421220.43570.33196
120.1062451.0990.137116
13-0.006253-0.06470.474273
140.0176560.18260.427714
150.0392480.4060.342782
160.0848130.87730.191142
17-0.05583-0.57750.282405
18-0.105553-1.09180.138676
190.0306080.31660.376077
20-0.205668-2.12740.01784
210.0007780.0080.496797
22-0.118701-1.22780.111099
23-0.006535-0.06760.473115
24-0.037684-0.38980.348727
25-0.075374-0.77970.218652
26-0.05697-0.58930.278451
270.0024160.0250.490054
280.0165380.17110.432246
290.0129540.1340.446829
30-0.003108-0.03210.487207
31-0.057486-0.59460.27667
320.0243570.2520.40078
33-0.00782-0.08090.467841
340.0207050.21420.415411
35-0.083536-0.86410.194733
360.0847420.87660.19134
370.0070620.07310.470951
380.0086370.08930.464487
390.0832390.8610.195572
40-0.124936-1.29230.099511
410.0421980.43650.331675
42-0.108006-1.11720.1332
43-0.079513-0.82250.206314
44-0.047737-0.49380.311231
45-0.093882-0.97110.166838
460.0283090.29280.385108
47-0.059569-0.61620.269541
48-0.040671-0.42070.337408
49-0.12212-1.26320.104628
500.0278670.28830.386855
51-0.007808-0.08080.46789
52-0.038649-0.39980.345054
530.0012210.01260.494975
54-0.033276-0.34420.365681
55-0.043038-0.44520.328541
560.0373390.38620.350044
570.0409780.42390.336254
58-0.004608-0.04770.481037
590.0590350.61070.27136
600.0403550.41740.338597



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')