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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 25 Dec 2007 05:42:03 -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/Dec/25/t1198585367amk9359675m1f1v.htm/, Retrieved Sat, 04 May 2024 00:48:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4882, Retrieved Sat, 04 May 2024 00:48:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKlaas Van Pelt
Estimated Impact248
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF 7] [2007-12-25 12:42:03] [6abd901c2e17b7d5559c695bbff3d863] [Current]
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Dataseries X:
99,9
99,9
99,9
99,9
99,9
99,7
99,6
99,5
100,6
100,2
100,1
100,2
99,1
99,5
99,5
99,6
99,5
99,6
99,8
99,9
100,5
100,5
100,5
100,5
99,5
99,9
100,4
99,6
99,5
99,6
98,4
99,9
100,3
100,3
101,3
101
99,7
99,4
99,9
100,7
99,8
98,8
99,6
99,1
100,3
100,5
100,8
100,6
99,1
98,8
99
99,9
99,5
99,2
99,6
100,1
99,8
101,6
101,7
101,9
100
102
102
102,9
102,7
102,7
102,7
102,7
102,6
102,6
102,5
102,5
102,1
103,5
103,2
102,1
103,8
104
103,9
104,1




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=4882&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=4882&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4882&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
018.18540
1-0.441316-3.61230.999709
20.0725030.59350.277434
3-0.015645-0.12810.550757
40.031090.25450.399952
5-0.024183-0.19790.578157
60.0831290.68040.249286
7-0.115549-0.94580.826177
80.0964420.78940.216328
9-0.136697-1.11890.866414
10-0.015045-0.12320.548822
110.1726131.41290.081157
12-0.358028-2.93060.997689
130.3234092.64720.005054
14-0.293613-2.40330.990489
150.1359171.11250.134944
16-0.051282-0.41980.661997
17-0.007243-0.05930.523549
18-0.134282-1.09910.86218
190.2487062.03570.022867
20-0.133036-1.0890.859961
210.0768720.62920.26567
22-0.066062-0.54070.704761
230.0649030.53130.298501
240.0024610.02010.491994
25-0.118263-0.9680.831744
260.1441371.17980.121123
27-0.046006-0.37660.646161
280.0082680.06770.473123
290.0094390.07730.469323
300.0291670.23870.406016
31-0.114225-0.9350.82342
320.09770.79970.213353
33-0.084836-0.69440.755087
340.0904270.74020.230889
35-0.068094-0.55740.710435
36-0.093599-0.76610.776858
370.0701850.57450.28378
380.0139020.11380.454871
390.02280.18660.42626
400.0401130.32830.371841
41-0.046247-0.37850.646889
420.0340620.27880.390626
430.0045920.03760.485064
44-0.031747-0.25990.602115
450.0668510.54720.293031
46-0.007799-0.06380.525355
47-0.009427-0.07720.530637
480.0448510.36710.357344
49-0.054749-0.44810.67225
500.0132520.10850.456973
510.0057120.04680.481425
52-0.029256-0.23950.594263
530.0033040.0270.489252
54-0.011476-0.09390.53728
550.0441230.36120.359558
56-0.050917-0.41680.660911
57-0.007137-0.05840.523204
58-0.000337-0.00280.501095
590.0258810.21180.416436

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.1854 & 0 \tabularnewline
1 & -0.441316 & -3.6123 & 0.999709 \tabularnewline
2 & 0.072503 & 0.5935 & 0.277434 \tabularnewline
3 & -0.015645 & -0.1281 & 0.550757 \tabularnewline
4 & 0.03109 & 0.2545 & 0.399952 \tabularnewline
5 & -0.024183 & -0.1979 & 0.578157 \tabularnewline
6 & 0.083129 & 0.6804 & 0.249286 \tabularnewline
7 & -0.115549 & -0.9458 & 0.826177 \tabularnewline
8 & 0.096442 & 0.7894 & 0.216328 \tabularnewline
9 & -0.136697 & -1.1189 & 0.866414 \tabularnewline
10 & -0.015045 & -0.1232 & 0.548822 \tabularnewline
11 & 0.172613 & 1.4129 & 0.081157 \tabularnewline
12 & -0.358028 & -2.9306 & 0.997689 \tabularnewline
13 & 0.323409 & 2.6472 & 0.005054 \tabularnewline
14 & -0.293613 & -2.4033 & 0.990489 \tabularnewline
15 & 0.135917 & 1.1125 & 0.134944 \tabularnewline
16 & -0.051282 & -0.4198 & 0.661997 \tabularnewline
17 & -0.007243 & -0.0593 & 0.523549 \tabularnewline
18 & -0.134282 & -1.0991 & 0.86218 \tabularnewline
19 & 0.248706 & 2.0357 & 0.022867 \tabularnewline
20 & -0.133036 & -1.089 & 0.859961 \tabularnewline
21 & 0.076872 & 0.6292 & 0.26567 \tabularnewline
22 & -0.066062 & -0.5407 & 0.704761 \tabularnewline
23 & 0.064903 & 0.5313 & 0.298501 \tabularnewline
24 & 0.002461 & 0.0201 & 0.491994 \tabularnewline
25 & -0.118263 & -0.968 & 0.831744 \tabularnewline
26 & 0.144137 & 1.1798 & 0.121123 \tabularnewline
27 & -0.046006 & -0.3766 & 0.646161 \tabularnewline
28 & 0.008268 & 0.0677 & 0.473123 \tabularnewline
29 & 0.009439 & 0.0773 & 0.469323 \tabularnewline
30 & 0.029167 & 0.2387 & 0.406016 \tabularnewline
31 & -0.114225 & -0.935 & 0.82342 \tabularnewline
32 & 0.0977 & 0.7997 & 0.213353 \tabularnewline
33 & -0.084836 & -0.6944 & 0.755087 \tabularnewline
34 & 0.090427 & 0.7402 & 0.230889 \tabularnewline
35 & -0.068094 & -0.5574 & 0.710435 \tabularnewline
36 & -0.093599 & -0.7661 & 0.776858 \tabularnewline
37 & 0.070185 & 0.5745 & 0.28378 \tabularnewline
38 & 0.013902 & 0.1138 & 0.454871 \tabularnewline
39 & 0.0228 & 0.1866 & 0.42626 \tabularnewline
40 & 0.040113 & 0.3283 & 0.371841 \tabularnewline
41 & -0.046247 & -0.3785 & 0.646889 \tabularnewline
42 & 0.034062 & 0.2788 & 0.390626 \tabularnewline
43 & 0.004592 & 0.0376 & 0.485064 \tabularnewline
44 & -0.031747 & -0.2599 & 0.602115 \tabularnewline
45 & 0.066851 & 0.5472 & 0.293031 \tabularnewline
46 & -0.007799 & -0.0638 & 0.525355 \tabularnewline
47 & -0.009427 & -0.0772 & 0.530637 \tabularnewline
48 & 0.044851 & 0.3671 & 0.357344 \tabularnewline
49 & -0.054749 & -0.4481 & 0.67225 \tabularnewline
50 & 0.013252 & 0.1085 & 0.456973 \tabularnewline
51 & 0.005712 & 0.0468 & 0.481425 \tabularnewline
52 & -0.029256 & -0.2395 & 0.594263 \tabularnewline
53 & 0.003304 & 0.027 & 0.489252 \tabularnewline
54 & -0.011476 & -0.0939 & 0.53728 \tabularnewline
55 & 0.044123 & 0.3612 & 0.359558 \tabularnewline
56 & -0.050917 & -0.4168 & 0.660911 \tabularnewline
57 & -0.007137 & -0.0584 & 0.523204 \tabularnewline
58 & -0.000337 & -0.0028 & 0.501095 \tabularnewline
59 & 0.025881 & 0.2118 & 0.416436 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4882&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]8.1854[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.441316[/C][C]-3.6123[/C][C]0.999709[/C][/ROW]
[ROW][C]2[/C][C]0.072503[/C][C]0.5935[/C][C]0.277434[/C][/ROW]
[ROW][C]3[/C][C]-0.015645[/C][C]-0.1281[/C][C]0.550757[/C][/ROW]
[ROW][C]4[/C][C]0.03109[/C][C]0.2545[/C][C]0.399952[/C][/ROW]
[ROW][C]5[/C][C]-0.024183[/C][C]-0.1979[/C][C]0.578157[/C][/ROW]
[ROW][C]6[/C][C]0.083129[/C][C]0.6804[/C][C]0.249286[/C][/ROW]
[ROW][C]7[/C][C]-0.115549[/C][C]-0.9458[/C][C]0.826177[/C][/ROW]
[ROW][C]8[/C][C]0.096442[/C][C]0.7894[/C][C]0.216328[/C][/ROW]
[ROW][C]9[/C][C]-0.136697[/C][C]-1.1189[/C][C]0.866414[/C][/ROW]
[ROW][C]10[/C][C]-0.015045[/C][C]-0.1232[/C][C]0.548822[/C][/ROW]
[ROW][C]11[/C][C]0.172613[/C][C]1.4129[/C][C]0.081157[/C][/ROW]
[ROW][C]12[/C][C]-0.358028[/C][C]-2.9306[/C][C]0.997689[/C][/ROW]
[ROW][C]13[/C][C]0.323409[/C][C]2.6472[/C][C]0.005054[/C][/ROW]
[ROW][C]14[/C][C]-0.293613[/C][C]-2.4033[/C][C]0.990489[/C][/ROW]
[ROW][C]15[/C][C]0.135917[/C][C]1.1125[/C][C]0.134944[/C][/ROW]
[ROW][C]16[/C][C]-0.051282[/C][C]-0.4198[/C][C]0.661997[/C][/ROW]
[ROW][C]17[/C][C]-0.007243[/C][C]-0.0593[/C][C]0.523549[/C][/ROW]
[ROW][C]18[/C][C]-0.134282[/C][C]-1.0991[/C][C]0.86218[/C][/ROW]
[ROW][C]19[/C][C]0.248706[/C][C]2.0357[/C][C]0.022867[/C][/ROW]
[ROW][C]20[/C][C]-0.133036[/C][C]-1.089[/C][C]0.859961[/C][/ROW]
[ROW][C]21[/C][C]0.076872[/C][C]0.6292[/C][C]0.26567[/C][/ROW]
[ROW][C]22[/C][C]-0.066062[/C][C]-0.5407[/C][C]0.704761[/C][/ROW]
[ROW][C]23[/C][C]0.064903[/C][C]0.5313[/C][C]0.298501[/C][/ROW]
[ROW][C]24[/C][C]0.002461[/C][C]0.0201[/C][C]0.491994[/C][/ROW]
[ROW][C]25[/C][C]-0.118263[/C][C]-0.968[/C][C]0.831744[/C][/ROW]
[ROW][C]26[/C][C]0.144137[/C][C]1.1798[/C][C]0.121123[/C][/ROW]
[ROW][C]27[/C][C]-0.046006[/C][C]-0.3766[/C][C]0.646161[/C][/ROW]
[ROW][C]28[/C][C]0.008268[/C][C]0.0677[/C][C]0.473123[/C][/ROW]
[ROW][C]29[/C][C]0.009439[/C][C]0.0773[/C][C]0.469323[/C][/ROW]
[ROW][C]30[/C][C]0.029167[/C][C]0.2387[/C][C]0.406016[/C][/ROW]
[ROW][C]31[/C][C]-0.114225[/C][C]-0.935[/C][C]0.82342[/C][/ROW]
[ROW][C]32[/C][C]0.0977[/C][C]0.7997[/C][C]0.213353[/C][/ROW]
[ROW][C]33[/C][C]-0.084836[/C][C]-0.6944[/C][C]0.755087[/C][/ROW]
[ROW][C]34[/C][C]0.090427[/C][C]0.7402[/C][C]0.230889[/C][/ROW]
[ROW][C]35[/C][C]-0.068094[/C][C]-0.5574[/C][C]0.710435[/C][/ROW]
[ROW][C]36[/C][C]-0.093599[/C][C]-0.7661[/C][C]0.776858[/C][/ROW]
[ROW][C]37[/C][C]0.070185[/C][C]0.5745[/C][C]0.28378[/C][/ROW]
[ROW][C]38[/C][C]0.013902[/C][C]0.1138[/C][C]0.454871[/C][/ROW]
[ROW][C]39[/C][C]0.0228[/C][C]0.1866[/C][C]0.42626[/C][/ROW]
[ROW][C]40[/C][C]0.040113[/C][C]0.3283[/C][C]0.371841[/C][/ROW]
[ROW][C]41[/C][C]-0.046247[/C][C]-0.3785[/C][C]0.646889[/C][/ROW]
[ROW][C]42[/C][C]0.034062[/C][C]0.2788[/C][C]0.390626[/C][/ROW]
[ROW][C]43[/C][C]0.004592[/C][C]0.0376[/C][C]0.485064[/C][/ROW]
[ROW][C]44[/C][C]-0.031747[/C][C]-0.2599[/C][C]0.602115[/C][/ROW]
[ROW][C]45[/C][C]0.066851[/C][C]0.5472[/C][C]0.293031[/C][/ROW]
[ROW][C]46[/C][C]-0.007799[/C][C]-0.0638[/C][C]0.525355[/C][/ROW]
[ROW][C]47[/C][C]-0.009427[/C][C]-0.0772[/C][C]0.530637[/C][/ROW]
[ROW][C]48[/C][C]0.044851[/C][C]0.3671[/C][C]0.357344[/C][/ROW]
[ROW][C]49[/C][C]-0.054749[/C][C]-0.4481[/C][C]0.67225[/C][/ROW]
[ROW][C]50[/C][C]0.013252[/C][C]0.1085[/C][C]0.456973[/C][/ROW]
[ROW][C]51[/C][C]0.005712[/C][C]0.0468[/C][C]0.481425[/C][/ROW]
[ROW][C]52[/C][C]-0.029256[/C][C]-0.2395[/C][C]0.594263[/C][/ROW]
[ROW][C]53[/C][C]0.003304[/C][C]0.027[/C][C]0.489252[/C][/ROW]
[ROW][C]54[/C][C]-0.011476[/C][C]-0.0939[/C][C]0.53728[/C][/ROW]
[ROW][C]55[/C][C]0.044123[/C][C]0.3612[/C][C]0.359558[/C][/ROW]
[ROW][C]56[/C][C]-0.050917[/C][C]-0.4168[/C][C]0.660911[/C][/ROW]
[ROW][C]57[/C][C]-0.007137[/C][C]-0.0584[/C][C]0.523204[/C][/ROW]
[ROW][C]58[/C][C]-0.000337[/C][C]-0.0028[/C][C]0.501095[/C][/ROW]
[ROW][C]59[/C][C]0.025881[/C][C]0.2118[/C][C]0.416436[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4882&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4882&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
018.18540
1-0.441316-3.61230.999709
20.0725030.59350.277434
3-0.015645-0.12810.550757
40.031090.25450.399952
5-0.024183-0.19790.578157
60.0831290.68040.249286
7-0.115549-0.94580.826177
80.0964420.78940.216328
9-0.136697-1.11890.866414
10-0.015045-0.12320.548822
110.1726131.41290.081157
12-0.358028-2.93060.997689
130.3234092.64720.005054
14-0.293613-2.40330.990489
150.1359171.11250.134944
16-0.051282-0.41980.661997
17-0.007243-0.05930.523549
18-0.134282-1.09910.86218
190.2487062.03570.022867
20-0.133036-1.0890.859961
210.0768720.62920.26567
22-0.066062-0.54070.704761
230.0649030.53130.298501
240.0024610.02010.491994
25-0.118263-0.9680.831744
260.1441371.17980.121123
27-0.046006-0.37660.646161
280.0082680.06770.473123
290.0094390.07730.469323
300.0291670.23870.406016
31-0.114225-0.9350.82342
320.09770.79970.213353
33-0.084836-0.69440.755087
340.0904270.74020.230889
35-0.068094-0.55740.710435
36-0.093599-0.76610.776858
370.0701850.57450.28378
380.0139020.11380.454871
390.02280.18660.42626
400.0401130.32830.371841
41-0.046247-0.37850.646889
420.0340620.27880.390626
430.0045920.03760.485064
44-0.031747-0.25990.602115
450.0668510.54720.293031
46-0.007799-0.06380.525355
47-0.009427-0.07720.530637
480.0448510.36710.357344
49-0.054749-0.44810.67225
500.0132520.10850.456973
510.0057120.04680.481425
52-0.029256-0.23950.594263
530.0033040.0270.489252
54-0.011476-0.09390.53728
550.0441230.36120.359558
56-0.050917-0.41680.660911
57-0.007137-0.05840.523204
58-0.000337-0.00280.501095
590.0258810.21180.416436







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.441316-3.61230.999709
1-0.151826-1.24270.890853
2-0.058211-0.47650.682357
30.0133450.10920.456671
4-0.001684-0.01380.505478
50.0940890.77020.221957
6-0.047574-0.38940.650896
70.031910.26120.397373
8-0.113024-0.92510.820894
9-0.161529-1.32220.904697
100.1206310.98740.163497
11-0.309073-2.52990.993116
120.1114250.91210.182505
13-0.228966-1.87420.967366
14-0.019291-0.15790.562495
15-0.047964-0.39260.652069
16-0.110694-0.90610.815926
17-0.160182-1.31110.902858
180.0353430.28930.386625
190.1017350.83270.203976
20-0.05709-0.46730.6791
21-0.014046-0.1150.545593
220.0388350.31790.375783
23-0.122112-0.99950.839434
24-0.081107-0.66390.745481
25-0.136699-1.11890.866416
260.0228070.18670.426235
27-0.047953-0.39250.652037
280.0447980.36670.357502
29-0.058127-0.47580.682114
30-0.056723-0.46430.678031
31-0.086507-0.70810.759326
32-0.072113-0.59030.721502
33-0.021187-0.17340.568579
34-0.038348-0.31390.62271
35-0.232156-1.90030.96915
36-0.046313-0.37910.64709
37-0.073813-0.60420.72612
38-0.014222-0.11640.546162
390.0344990.28240.38926
400.0118240.09680.461593
41-0.023844-0.19520.577076
42-0.056949-0.46610.678688
43-0.022106-0.18090.571521
44-0.083252-0.68140.751031
45-0.00283-0.02320.509206
46-0.009811-0.08030.531884
47-0.060173-0.49250.688025
48-0.018037-0.14760.558464
49-0.129081-1.05660.852749
500.0093260.07630.469688
51-0.053826-0.44060.669534
52-0.095886-0.78490.782349
53-0.04038-0.33050.628982
540.1071520.87710.191789
550.0004460.00370.498549
56-0.061221-0.50110.691032
57-0.024856-0.20350.580302
58-0.049462-0.40490.656565
59-0.024782-0.20280.580065

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.441316 & -3.6123 & 0.999709 \tabularnewline
1 & -0.151826 & -1.2427 & 0.890853 \tabularnewline
2 & -0.058211 & -0.4765 & 0.682357 \tabularnewline
3 & 0.013345 & 0.1092 & 0.456671 \tabularnewline
4 & -0.001684 & -0.0138 & 0.505478 \tabularnewline
5 & 0.094089 & 0.7702 & 0.221957 \tabularnewline
6 & -0.047574 & -0.3894 & 0.650896 \tabularnewline
7 & 0.03191 & 0.2612 & 0.397373 \tabularnewline
8 & -0.113024 & -0.9251 & 0.820894 \tabularnewline
9 & -0.161529 & -1.3222 & 0.904697 \tabularnewline
10 & 0.120631 & 0.9874 & 0.163497 \tabularnewline
11 & -0.309073 & -2.5299 & 0.993116 \tabularnewline
12 & 0.111425 & 0.9121 & 0.182505 \tabularnewline
13 & -0.228966 & -1.8742 & 0.967366 \tabularnewline
14 & -0.019291 & -0.1579 & 0.562495 \tabularnewline
15 & -0.047964 & -0.3926 & 0.652069 \tabularnewline
16 & -0.110694 & -0.9061 & 0.815926 \tabularnewline
17 & -0.160182 & -1.3111 & 0.902858 \tabularnewline
18 & 0.035343 & 0.2893 & 0.386625 \tabularnewline
19 & 0.101735 & 0.8327 & 0.203976 \tabularnewline
20 & -0.05709 & -0.4673 & 0.6791 \tabularnewline
21 & -0.014046 & -0.115 & 0.545593 \tabularnewline
22 & 0.038835 & 0.3179 & 0.375783 \tabularnewline
23 & -0.122112 & -0.9995 & 0.839434 \tabularnewline
24 & -0.081107 & -0.6639 & 0.745481 \tabularnewline
25 & -0.136699 & -1.1189 & 0.866416 \tabularnewline
26 & 0.022807 & 0.1867 & 0.426235 \tabularnewline
27 & -0.047953 & -0.3925 & 0.652037 \tabularnewline
28 & 0.044798 & 0.3667 & 0.357502 \tabularnewline
29 & -0.058127 & -0.4758 & 0.682114 \tabularnewline
30 & -0.056723 & -0.4643 & 0.678031 \tabularnewline
31 & -0.086507 & -0.7081 & 0.759326 \tabularnewline
32 & -0.072113 & -0.5903 & 0.721502 \tabularnewline
33 & -0.021187 & -0.1734 & 0.568579 \tabularnewline
34 & -0.038348 & -0.3139 & 0.62271 \tabularnewline
35 & -0.232156 & -1.9003 & 0.96915 \tabularnewline
36 & -0.046313 & -0.3791 & 0.64709 \tabularnewline
37 & -0.073813 & -0.6042 & 0.72612 \tabularnewline
38 & -0.014222 & -0.1164 & 0.546162 \tabularnewline
39 & 0.034499 & 0.2824 & 0.38926 \tabularnewline
40 & 0.011824 & 0.0968 & 0.461593 \tabularnewline
41 & -0.023844 & -0.1952 & 0.577076 \tabularnewline
42 & -0.056949 & -0.4661 & 0.678688 \tabularnewline
43 & -0.022106 & -0.1809 & 0.571521 \tabularnewline
44 & -0.083252 & -0.6814 & 0.751031 \tabularnewline
45 & -0.00283 & -0.0232 & 0.509206 \tabularnewline
46 & -0.009811 & -0.0803 & 0.531884 \tabularnewline
47 & -0.060173 & -0.4925 & 0.688025 \tabularnewline
48 & -0.018037 & -0.1476 & 0.558464 \tabularnewline
49 & -0.129081 & -1.0566 & 0.852749 \tabularnewline
50 & 0.009326 & 0.0763 & 0.469688 \tabularnewline
51 & -0.053826 & -0.4406 & 0.669534 \tabularnewline
52 & -0.095886 & -0.7849 & 0.782349 \tabularnewline
53 & -0.04038 & -0.3305 & 0.628982 \tabularnewline
54 & 0.107152 & 0.8771 & 0.191789 \tabularnewline
55 & 0.000446 & 0.0037 & 0.498549 \tabularnewline
56 & -0.061221 & -0.5011 & 0.691032 \tabularnewline
57 & -0.024856 & -0.2035 & 0.580302 \tabularnewline
58 & -0.049462 & -0.4049 & 0.656565 \tabularnewline
59 & -0.024782 & -0.2028 & 0.580065 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4882&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]-0.441316[/C][C]-3.6123[/C][C]0.999709[/C][/ROW]
[ROW][C]1[/C][C]-0.151826[/C][C]-1.2427[/C][C]0.890853[/C][/ROW]
[ROW][C]2[/C][C]-0.058211[/C][C]-0.4765[/C][C]0.682357[/C][/ROW]
[ROW][C]3[/C][C]0.013345[/C][C]0.1092[/C][C]0.456671[/C][/ROW]
[ROW][C]4[/C][C]-0.001684[/C][C]-0.0138[/C][C]0.505478[/C][/ROW]
[ROW][C]5[/C][C]0.094089[/C][C]0.7702[/C][C]0.221957[/C][/ROW]
[ROW][C]6[/C][C]-0.047574[/C][C]-0.3894[/C][C]0.650896[/C][/ROW]
[ROW][C]7[/C][C]0.03191[/C][C]0.2612[/C][C]0.397373[/C][/ROW]
[ROW][C]8[/C][C]-0.113024[/C][C]-0.9251[/C][C]0.820894[/C][/ROW]
[ROW][C]9[/C][C]-0.161529[/C][C]-1.3222[/C][C]0.904697[/C][/ROW]
[ROW][C]10[/C][C]0.120631[/C][C]0.9874[/C][C]0.163497[/C][/ROW]
[ROW][C]11[/C][C]-0.309073[/C][C]-2.5299[/C][C]0.993116[/C][/ROW]
[ROW][C]12[/C][C]0.111425[/C][C]0.9121[/C][C]0.182505[/C][/ROW]
[ROW][C]13[/C][C]-0.228966[/C][C]-1.8742[/C][C]0.967366[/C][/ROW]
[ROW][C]14[/C][C]-0.019291[/C][C]-0.1579[/C][C]0.562495[/C][/ROW]
[ROW][C]15[/C][C]-0.047964[/C][C]-0.3926[/C][C]0.652069[/C][/ROW]
[ROW][C]16[/C][C]-0.110694[/C][C]-0.9061[/C][C]0.815926[/C][/ROW]
[ROW][C]17[/C][C]-0.160182[/C][C]-1.3111[/C][C]0.902858[/C][/ROW]
[ROW][C]18[/C][C]0.035343[/C][C]0.2893[/C][C]0.386625[/C][/ROW]
[ROW][C]19[/C][C]0.101735[/C][C]0.8327[/C][C]0.203976[/C][/ROW]
[ROW][C]20[/C][C]-0.05709[/C][C]-0.4673[/C][C]0.6791[/C][/ROW]
[ROW][C]21[/C][C]-0.014046[/C][C]-0.115[/C][C]0.545593[/C][/ROW]
[ROW][C]22[/C][C]0.038835[/C][C]0.3179[/C][C]0.375783[/C][/ROW]
[ROW][C]23[/C][C]-0.122112[/C][C]-0.9995[/C][C]0.839434[/C][/ROW]
[ROW][C]24[/C][C]-0.081107[/C][C]-0.6639[/C][C]0.745481[/C][/ROW]
[ROW][C]25[/C][C]-0.136699[/C][C]-1.1189[/C][C]0.866416[/C][/ROW]
[ROW][C]26[/C][C]0.022807[/C][C]0.1867[/C][C]0.426235[/C][/ROW]
[ROW][C]27[/C][C]-0.047953[/C][C]-0.3925[/C][C]0.652037[/C][/ROW]
[ROW][C]28[/C][C]0.044798[/C][C]0.3667[/C][C]0.357502[/C][/ROW]
[ROW][C]29[/C][C]-0.058127[/C][C]-0.4758[/C][C]0.682114[/C][/ROW]
[ROW][C]30[/C][C]-0.056723[/C][C]-0.4643[/C][C]0.678031[/C][/ROW]
[ROW][C]31[/C][C]-0.086507[/C][C]-0.7081[/C][C]0.759326[/C][/ROW]
[ROW][C]32[/C][C]-0.072113[/C][C]-0.5903[/C][C]0.721502[/C][/ROW]
[ROW][C]33[/C][C]-0.021187[/C][C]-0.1734[/C][C]0.568579[/C][/ROW]
[ROW][C]34[/C][C]-0.038348[/C][C]-0.3139[/C][C]0.62271[/C][/ROW]
[ROW][C]35[/C][C]-0.232156[/C][C]-1.9003[/C][C]0.96915[/C][/ROW]
[ROW][C]36[/C][C]-0.046313[/C][C]-0.3791[/C][C]0.64709[/C][/ROW]
[ROW][C]37[/C][C]-0.073813[/C][C]-0.6042[/C][C]0.72612[/C][/ROW]
[ROW][C]38[/C][C]-0.014222[/C][C]-0.1164[/C][C]0.546162[/C][/ROW]
[ROW][C]39[/C][C]0.034499[/C][C]0.2824[/C][C]0.38926[/C][/ROW]
[ROW][C]40[/C][C]0.011824[/C][C]0.0968[/C][C]0.461593[/C][/ROW]
[ROW][C]41[/C][C]-0.023844[/C][C]-0.1952[/C][C]0.577076[/C][/ROW]
[ROW][C]42[/C][C]-0.056949[/C][C]-0.4661[/C][C]0.678688[/C][/ROW]
[ROW][C]43[/C][C]-0.022106[/C][C]-0.1809[/C][C]0.571521[/C][/ROW]
[ROW][C]44[/C][C]-0.083252[/C][C]-0.6814[/C][C]0.751031[/C][/ROW]
[ROW][C]45[/C][C]-0.00283[/C][C]-0.0232[/C][C]0.509206[/C][/ROW]
[ROW][C]46[/C][C]-0.009811[/C][C]-0.0803[/C][C]0.531884[/C][/ROW]
[ROW][C]47[/C][C]-0.060173[/C][C]-0.4925[/C][C]0.688025[/C][/ROW]
[ROW][C]48[/C][C]-0.018037[/C][C]-0.1476[/C][C]0.558464[/C][/ROW]
[ROW][C]49[/C][C]-0.129081[/C][C]-1.0566[/C][C]0.852749[/C][/ROW]
[ROW][C]50[/C][C]0.009326[/C][C]0.0763[/C][C]0.469688[/C][/ROW]
[ROW][C]51[/C][C]-0.053826[/C][C]-0.4406[/C][C]0.669534[/C][/ROW]
[ROW][C]52[/C][C]-0.095886[/C][C]-0.7849[/C][C]0.782349[/C][/ROW]
[ROW][C]53[/C][C]-0.04038[/C][C]-0.3305[/C][C]0.628982[/C][/ROW]
[ROW][C]54[/C][C]0.107152[/C][C]0.8771[/C][C]0.191789[/C][/ROW]
[ROW][C]55[/C][C]0.000446[/C][C]0.0037[/C][C]0.498549[/C][/ROW]
[ROW][C]56[/C][C]-0.061221[/C][C]-0.5011[/C][C]0.691032[/C][/ROW]
[ROW][C]57[/C][C]-0.024856[/C][C]-0.2035[/C][C]0.580302[/C][/ROW]
[ROW][C]58[/C][C]-0.049462[/C][C]-0.4049[/C][C]0.656565[/C][/ROW]
[ROW][C]59[/C][C]-0.024782[/C][C]-0.2028[/C][C]0.580065[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4882&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4882&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
0-0.441316-3.61230.999709
1-0.151826-1.24270.890853
2-0.058211-0.47650.682357
30.0133450.10920.456671
4-0.001684-0.01380.505478
50.0940890.77020.221957
6-0.047574-0.38940.650896
70.031910.26120.397373
8-0.113024-0.92510.820894
9-0.161529-1.32220.904697
100.1206310.98740.163497
11-0.309073-2.52990.993116
120.1114250.91210.182505
13-0.228966-1.87420.967366
14-0.019291-0.15790.562495
15-0.047964-0.39260.652069
16-0.110694-0.90610.815926
17-0.160182-1.31110.902858
180.0353430.28930.386625
190.1017350.83270.203976
20-0.05709-0.46730.6791
21-0.014046-0.1150.545593
220.0388350.31790.375783
23-0.122112-0.99950.839434
24-0.081107-0.66390.745481
25-0.136699-1.11890.866416
260.0228070.18670.426235
27-0.047953-0.39250.652037
280.0447980.36670.357502
29-0.058127-0.47580.682114
30-0.056723-0.46430.678031
31-0.086507-0.70810.759326
32-0.072113-0.59030.721502
33-0.021187-0.17340.568579
34-0.038348-0.31390.62271
35-0.232156-1.90030.96915
36-0.046313-0.37910.64709
37-0.073813-0.60420.72612
38-0.014222-0.11640.546162
390.0344990.28240.38926
400.0118240.09680.461593
41-0.023844-0.19520.577076
42-0.056949-0.46610.678688
43-0.022106-0.18090.571521
44-0.083252-0.68140.751031
45-0.00283-0.02320.509206
46-0.009811-0.08030.531884
47-0.060173-0.49250.688025
48-0.018037-0.14760.558464
49-0.129081-1.05660.852749
500.0093260.07630.469688
51-0.053826-0.44060.669534
52-0.095886-0.78490.782349
53-0.04038-0.33050.628982
540.1071520.87710.191789
550.0004460.00370.498549
56-0.061221-0.50110.691032
57-0.024856-0.20350.580302
58-0.049462-0.40490.656565
59-0.024782-0.20280.580065



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