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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, 18 Dec 2007 03:07:09 -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/18/t1197971414tnx8wd0sjsa2qji.htm/, Retrieved Sat, 04 May 2024 18:42:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4475, Retrieved Sat, 04 May 2024 18:42:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact242
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie to...] [2007-12-18 10:07:09] [d02236afd58a58d13a748bbf41a37c2e] [Current]
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Dataseries X:
58804
55526
63232
64929
58255
65877
58240
50356
58831
59065
45817
44520
54279
59232
68435
69861
60838
73166
59307
54174
60018
58757
50793
46916
60618
57322
69254
69687
65518
73280
59293
58216
61665
56979
54329
42812
68655
62938
77267
66985
62383
72098
62442
56514
61290
57161
55090
41015
66601
61698
76291
68017
72711
77167
67437
60659
45856
66097
54606
43816




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 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=4475&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]2 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=4475&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4475&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.3333422.58210.00614
20.1995311.54560.063735
30.0448520.34740.364746
4-0.160022-1.23950.890011
5-0.308981-2.39340.99008
6-0.509982-3.95030.999896
7-0.304523-2.35880.989196
8-0.254047-1.96780.973143
90.0281980.21840.413921
100.1182290.91580.181719
110.2320821.79770.038628
120.6539055.06512e-06
130.2360581.82850.036223
140.1403611.08720.140641
15-0.014286-0.11070.543871
16-0.090208-0.69870.756294
17-0.236235-1.82990.963881
18-0.404778-3.13540.998671
19-0.206654-1.60070.942656
20-0.230215-1.78320.960197
210.0560050.43380.332991
220.0827210.64080.262062
230.1927961.49340.070287
240.4372163.38670.000627
250.1697981.31530.096715
260.0412370.31940.375258
27-0.080492-0.62350.732336
28-0.101227-0.78410.781966
29-0.196352-1.52090.933235
30-0.305632-2.36740.989423
31-0.169831-1.31550.903328
32-0.175251-1.35750.910145
330.044060.34130.36704
340.0600010.46480.321891
350.1298671.00590.159241
360.2664092.06360.021695
370.1416471.09720.138471
380.0210540.16310.435499
39-0.036628-0.28370.611198
40-0.024498-0.18980.57493
41-0.159624-1.23640.889443
42-0.206999-1.60340.942952
43-0.112752-0.87340.80703
44-0.106381-0.8240.793405
45-0.003679-0.02850.511321
460.0248250.19230.424081
470.034960.27080.393738
480.1072080.83040.204793
490.0871450.6750.251127
500.0084920.06580.473887
51-0.000313-0.00240.500965
520.0365220.28290.389114
53-0.030109-0.23320.591809
54-0.02329-0.18040.571279
550.0227690.17640.4303
56-0.020637-0.15990.563232
57-0.005576-0.04320.517153
580.0213160.16510.434704
590.0065940.05110.479717

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.333342 & 2.5821 & 0.00614 \tabularnewline
2 & 0.199531 & 1.5456 & 0.063735 \tabularnewline
3 & 0.044852 & 0.3474 & 0.364746 \tabularnewline
4 & -0.160022 & -1.2395 & 0.890011 \tabularnewline
5 & -0.308981 & -2.3934 & 0.99008 \tabularnewline
6 & -0.509982 & -3.9503 & 0.999896 \tabularnewline
7 & -0.304523 & -2.3588 & 0.989196 \tabularnewline
8 & -0.254047 & -1.9678 & 0.973143 \tabularnewline
9 & 0.028198 & 0.2184 & 0.413921 \tabularnewline
10 & 0.118229 & 0.9158 & 0.181719 \tabularnewline
11 & 0.232082 & 1.7977 & 0.038628 \tabularnewline
12 & 0.653905 & 5.0651 & 2e-06 \tabularnewline
13 & 0.236058 & 1.8285 & 0.036223 \tabularnewline
14 & 0.140361 & 1.0872 & 0.140641 \tabularnewline
15 & -0.014286 & -0.1107 & 0.543871 \tabularnewline
16 & -0.090208 & -0.6987 & 0.756294 \tabularnewline
17 & -0.236235 & -1.8299 & 0.963881 \tabularnewline
18 & -0.404778 & -3.1354 & 0.998671 \tabularnewline
19 & -0.206654 & -1.6007 & 0.942656 \tabularnewline
20 & -0.230215 & -1.7832 & 0.960197 \tabularnewline
21 & 0.056005 & 0.4338 & 0.332991 \tabularnewline
22 & 0.082721 & 0.6408 & 0.262062 \tabularnewline
23 & 0.192796 & 1.4934 & 0.070287 \tabularnewline
24 & 0.437216 & 3.3867 & 0.000627 \tabularnewline
25 & 0.169798 & 1.3153 & 0.096715 \tabularnewline
26 & 0.041237 & 0.3194 & 0.375258 \tabularnewline
27 & -0.080492 & -0.6235 & 0.732336 \tabularnewline
28 & -0.101227 & -0.7841 & 0.781966 \tabularnewline
29 & -0.196352 & -1.5209 & 0.933235 \tabularnewline
30 & -0.305632 & -2.3674 & 0.989423 \tabularnewline
31 & -0.169831 & -1.3155 & 0.903328 \tabularnewline
32 & -0.175251 & -1.3575 & 0.910145 \tabularnewline
33 & 0.04406 & 0.3413 & 0.36704 \tabularnewline
34 & 0.060001 & 0.4648 & 0.321891 \tabularnewline
35 & 0.129867 & 1.0059 & 0.159241 \tabularnewline
36 & 0.266409 & 2.0636 & 0.021695 \tabularnewline
37 & 0.141647 & 1.0972 & 0.138471 \tabularnewline
38 & 0.021054 & 0.1631 & 0.435499 \tabularnewline
39 & -0.036628 & -0.2837 & 0.611198 \tabularnewline
40 & -0.024498 & -0.1898 & 0.57493 \tabularnewline
41 & -0.159624 & -1.2364 & 0.889443 \tabularnewline
42 & -0.206999 & -1.6034 & 0.942952 \tabularnewline
43 & -0.112752 & -0.8734 & 0.80703 \tabularnewline
44 & -0.106381 & -0.824 & 0.793405 \tabularnewline
45 & -0.003679 & -0.0285 & 0.511321 \tabularnewline
46 & 0.024825 & 0.1923 & 0.424081 \tabularnewline
47 & 0.03496 & 0.2708 & 0.393738 \tabularnewline
48 & 0.107208 & 0.8304 & 0.204793 \tabularnewline
49 & 0.087145 & 0.675 & 0.251127 \tabularnewline
50 & 0.008492 & 0.0658 & 0.473887 \tabularnewline
51 & -0.000313 & -0.0024 & 0.500965 \tabularnewline
52 & 0.036522 & 0.2829 & 0.389114 \tabularnewline
53 & -0.030109 & -0.2332 & 0.591809 \tabularnewline
54 & -0.02329 & -0.1804 & 0.571279 \tabularnewline
55 & 0.022769 & 0.1764 & 0.4303 \tabularnewline
56 & -0.020637 & -0.1599 & 0.563232 \tabularnewline
57 & -0.005576 & -0.0432 & 0.517153 \tabularnewline
58 & 0.021316 & 0.1651 & 0.434704 \tabularnewline
59 & 0.006594 & 0.0511 & 0.479717 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4475&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.333342[/C][C]2.5821[/C][C]0.00614[/C][/ROW]
[ROW][C]2[/C][C]0.199531[/C][C]1.5456[/C][C]0.063735[/C][/ROW]
[ROW][C]3[/C][C]0.044852[/C][C]0.3474[/C][C]0.364746[/C][/ROW]
[ROW][C]4[/C][C]-0.160022[/C][C]-1.2395[/C][C]0.890011[/C][/ROW]
[ROW][C]5[/C][C]-0.308981[/C][C]-2.3934[/C][C]0.99008[/C][/ROW]
[ROW][C]6[/C][C]-0.509982[/C][C]-3.9503[/C][C]0.999896[/C][/ROW]
[ROW][C]7[/C][C]-0.304523[/C][C]-2.3588[/C][C]0.989196[/C][/ROW]
[ROW][C]8[/C][C]-0.254047[/C][C]-1.9678[/C][C]0.973143[/C][/ROW]
[ROW][C]9[/C][C]0.028198[/C][C]0.2184[/C][C]0.413921[/C][/ROW]
[ROW][C]10[/C][C]0.118229[/C][C]0.9158[/C][C]0.181719[/C][/ROW]
[ROW][C]11[/C][C]0.232082[/C][C]1.7977[/C][C]0.038628[/C][/ROW]
[ROW][C]12[/C][C]0.653905[/C][C]5.0651[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.236058[/C][C]1.8285[/C][C]0.036223[/C][/ROW]
[ROW][C]14[/C][C]0.140361[/C][C]1.0872[/C][C]0.140641[/C][/ROW]
[ROW][C]15[/C][C]-0.014286[/C][C]-0.1107[/C][C]0.543871[/C][/ROW]
[ROW][C]16[/C][C]-0.090208[/C][C]-0.6987[/C][C]0.756294[/C][/ROW]
[ROW][C]17[/C][C]-0.236235[/C][C]-1.8299[/C][C]0.963881[/C][/ROW]
[ROW][C]18[/C][C]-0.404778[/C][C]-3.1354[/C][C]0.998671[/C][/ROW]
[ROW][C]19[/C][C]-0.206654[/C][C]-1.6007[/C][C]0.942656[/C][/ROW]
[ROW][C]20[/C][C]-0.230215[/C][C]-1.7832[/C][C]0.960197[/C][/ROW]
[ROW][C]21[/C][C]0.056005[/C][C]0.4338[/C][C]0.332991[/C][/ROW]
[ROW][C]22[/C][C]0.082721[/C][C]0.6408[/C][C]0.262062[/C][/ROW]
[ROW][C]23[/C][C]0.192796[/C][C]1.4934[/C][C]0.070287[/C][/ROW]
[ROW][C]24[/C][C]0.437216[/C][C]3.3867[/C][C]0.000627[/C][/ROW]
[ROW][C]25[/C][C]0.169798[/C][C]1.3153[/C][C]0.096715[/C][/ROW]
[ROW][C]26[/C][C]0.041237[/C][C]0.3194[/C][C]0.375258[/C][/ROW]
[ROW][C]27[/C][C]-0.080492[/C][C]-0.6235[/C][C]0.732336[/C][/ROW]
[ROW][C]28[/C][C]-0.101227[/C][C]-0.7841[/C][C]0.781966[/C][/ROW]
[ROW][C]29[/C][C]-0.196352[/C][C]-1.5209[/C][C]0.933235[/C][/ROW]
[ROW][C]30[/C][C]-0.305632[/C][C]-2.3674[/C][C]0.989423[/C][/ROW]
[ROW][C]31[/C][C]-0.169831[/C][C]-1.3155[/C][C]0.903328[/C][/ROW]
[ROW][C]32[/C][C]-0.175251[/C][C]-1.3575[/C][C]0.910145[/C][/ROW]
[ROW][C]33[/C][C]0.04406[/C][C]0.3413[/C][C]0.36704[/C][/ROW]
[ROW][C]34[/C][C]0.060001[/C][C]0.4648[/C][C]0.321891[/C][/ROW]
[ROW][C]35[/C][C]0.129867[/C][C]1.0059[/C][C]0.159241[/C][/ROW]
[ROW][C]36[/C][C]0.266409[/C][C]2.0636[/C][C]0.021695[/C][/ROW]
[ROW][C]37[/C][C]0.141647[/C][C]1.0972[/C][C]0.138471[/C][/ROW]
[ROW][C]38[/C][C]0.021054[/C][C]0.1631[/C][C]0.435499[/C][/ROW]
[ROW][C]39[/C][C]-0.036628[/C][C]-0.2837[/C][C]0.611198[/C][/ROW]
[ROW][C]40[/C][C]-0.024498[/C][C]-0.1898[/C][C]0.57493[/C][/ROW]
[ROW][C]41[/C][C]-0.159624[/C][C]-1.2364[/C][C]0.889443[/C][/ROW]
[ROW][C]42[/C][C]-0.206999[/C][C]-1.6034[/C][C]0.942952[/C][/ROW]
[ROW][C]43[/C][C]-0.112752[/C][C]-0.8734[/C][C]0.80703[/C][/ROW]
[ROW][C]44[/C][C]-0.106381[/C][C]-0.824[/C][C]0.793405[/C][/ROW]
[ROW][C]45[/C][C]-0.003679[/C][C]-0.0285[/C][C]0.511321[/C][/ROW]
[ROW][C]46[/C][C]0.024825[/C][C]0.1923[/C][C]0.424081[/C][/ROW]
[ROW][C]47[/C][C]0.03496[/C][C]0.2708[/C][C]0.393738[/C][/ROW]
[ROW][C]48[/C][C]0.107208[/C][C]0.8304[/C][C]0.204793[/C][/ROW]
[ROW][C]49[/C][C]0.087145[/C][C]0.675[/C][C]0.251127[/C][/ROW]
[ROW][C]50[/C][C]0.008492[/C][C]0.0658[/C][C]0.473887[/C][/ROW]
[ROW][C]51[/C][C]-0.000313[/C][C]-0.0024[/C][C]0.500965[/C][/ROW]
[ROW][C]52[/C][C]0.036522[/C][C]0.2829[/C][C]0.389114[/C][/ROW]
[ROW][C]53[/C][C]-0.030109[/C][C]-0.2332[/C][C]0.591809[/C][/ROW]
[ROW][C]54[/C][C]-0.02329[/C][C]-0.1804[/C][C]0.571279[/C][/ROW]
[ROW][C]55[/C][C]0.022769[/C][C]0.1764[/C][C]0.4303[/C][/ROW]
[ROW][C]56[/C][C]-0.020637[/C][C]-0.1599[/C][C]0.563232[/C][/ROW]
[ROW][C]57[/C][C]-0.005576[/C][C]-0.0432[/C][C]0.517153[/C][/ROW]
[ROW][C]58[/C][C]0.021316[/C][C]0.1651[/C][C]0.434704[/C][/ROW]
[ROW][C]59[/C][C]0.006594[/C][C]0.0511[/C][C]0.479717[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4475&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4475&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
017.7460
10.3333422.58210.00614
20.1995311.54560.063735
30.0448520.34740.364746
4-0.160022-1.23950.890011
5-0.308981-2.39340.99008
6-0.509982-3.95030.999896
7-0.304523-2.35880.989196
8-0.254047-1.96780.973143
90.0281980.21840.413921
100.1182290.91580.181719
110.2320821.79770.038628
120.6539055.06512e-06
130.2360581.82850.036223
140.1403611.08720.140641
15-0.014286-0.11070.543871
16-0.090208-0.69870.756294
17-0.236235-1.82990.963881
18-0.404778-3.13540.998671
19-0.206654-1.60070.942656
20-0.230215-1.78320.960197
210.0560050.43380.332991
220.0827210.64080.262062
230.1927961.49340.070287
240.4372163.38670.000627
250.1697981.31530.096715
260.0412370.31940.375258
27-0.080492-0.62350.732336
28-0.101227-0.78410.781966
29-0.196352-1.52090.933235
30-0.305632-2.36740.989423
31-0.169831-1.31550.903328
32-0.175251-1.35750.910145
330.044060.34130.36704
340.0600010.46480.321891
350.1298671.00590.159241
360.2664092.06360.021695
370.1416471.09720.138471
380.0210540.16310.435499
39-0.036628-0.28370.611198
40-0.024498-0.18980.57493
41-0.159624-1.23640.889443
42-0.206999-1.60340.942952
43-0.112752-0.87340.80703
44-0.106381-0.8240.793405
45-0.003679-0.02850.511321
460.0248250.19230.424081
470.034960.27080.393738
480.1072080.83040.204793
490.0871450.6750.251127
500.0084920.06580.473887
51-0.000313-0.00240.500965
520.0365220.28290.389114
53-0.030109-0.23320.591809
54-0.02329-0.18040.571279
550.0227690.17640.4303
56-0.020637-0.15990.563232
57-0.005576-0.04320.517153
580.0213160.16510.434704
590.0065940.05110.479717







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3333422.58210.00614
10.0994660.77050.222025
2-0.054768-0.42420.663543
3-0.203545-1.57670.939933
4-0.239864-1.8580.96596
5-0.387064-2.99820.998026
6-0.042035-0.32560.627072
7-0.102694-0.79550.785259
80.1566121.21310.114921
9-8.2e-05-6e-040.500253
100.012760.09880.460797
110.5023733.89140.000126
12-0.218547-1.69290.952165
13-0.121711-0.94280.82521
14-0.04592-0.35570.638342
150.0518490.40160.344696
160.0731780.56680.28647
17-0.012434-0.09630.538203
180.0364750.28250.389254
19-0.065806-0.50970.693945
200.0230570.17860.429427
21-0.00466-0.03610.514337
220.0307150.23790.406377
230.0045220.0350.486087
24-0.026098-0.20220.57976
25-0.167664-1.29870.900496
26-0.011193-0.08670.534401
27-0.066362-0.5140.695443
280.0747920.57930.282265
290.0216680.16780.433637
30-0.092756-0.71850.762378
31-0.051786-0.40110.655126
32-0.120448-0.9330.822717
33-0.03298-0.25550.60038
34-0.044407-0.3440.633968
35-0.038252-0.29630.615989
360.0593120.45940.323792
37-0.041046-0.31790.624184
380.0517660.4010.344929
390.013890.10760.45734
40-0.149981-1.16170.87503
410.0158770.1230.451266
420.0235830.18270.427836
430.027780.21520.415179
44-0.058038-0.44960.672676
45-0.088616-0.68640.752453
46-0.099272-0.7690.777533
47-0.102832-0.79650.785568
480.0311650.24140.405033
490.0644780.49940.309645
500.0078520.06080.475852
51-0.012132-0.0940.537278
52-0.009445-0.07320.529038
530.0843540.65340.257997
540.076630.59360.277515
55-0.064533-0.49990.690502
560.0406110.31460.377088
57-0.000238-0.00180.500731
580.0761610.58990.278722
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.333342 & 2.5821 & 0.00614 \tabularnewline
1 & 0.099466 & 0.7705 & 0.222025 \tabularnewline
2 & -0.054768 & -0.4242 & 0.663543 \tabularnewline
3 & -0.203545 & -1.5767 & 0.939933 \tabularnewline
4 & -0.239864 & -1.858 & 0.96596 \tabularnewline
5 & -0.387064 & -2.9982 & 0.998026 \tabularnewline
6 & -0.042035 & -0.3256 & 0.627072 \tabularnewline
7 & -0.102694 & -0.7955 & 0.785259 \tabularnewline
8 & 0.156612 & 1.2131 & 0.114921 \tabularnewline
9 & -8.2e-05 & -6e-04 & 0.500253 \tabularnewline
10 & 0.01276 & 0.0988 & 0.460797 \tabularnewline
11 & 0.502373 & 3.8914 & 0.000126 \tabularnewline
12 & -0.218547 & -1.6929 & 0.952165 \tabularnewline
13 & -0.121711 & -0.9428 & 0.82521 \tabularnewline
14 & -0.04592 & -0.3557 & 0.638342 \tabularnewline
15 & 0.051849 & 0.4016 & 0.344696 \tabularnewline
16 & 0.073178 & 0.5668 & 0.28647 \tabularnewline
17 & -0.012434 & -0.0963 & 0.538203 \tabularnewline
18 & 0.036475 & 0.2825 & 0.389254 \tabularnewline
19 & -0.065806 & -0.5097 & 0.693945 \tabularnewline
20 & 0.023057 & 0.1786 & 0.429427 \tabularnewline
21 & -0.00466 & -0.0361 & 0.514337 \tabularnewline
22 & 0.030715 & 0.2379 & 0.406377 \tabularnewline
23 & 0.004522 & 0.035 & 0.486087 \tabularnewline
24 & -0.026098 & -0.2022 & 0.57976 \tabularnewline
25 & -0.167664 & -1.2987 & 0.900496 \tabularnewline
26 & -0.011193 & -0.0867 & 0.534401 \tabularnewline
27 & -0.066362 & -0.514 & 0.695443 \tabularnewline
28 & 0.074792 & 0.5793 & 0.282265 \tabularnewline
29 & 0.021668 & 0.1678 & 0.433637 \tabularnewline
30 & -0.092756 & -0.7185 & 0.762378 \tabularnewline
31 & -0.051786 & -0.4011 & 0.655126 \tabularnewline
32 & -0.120448 & -0.933 & 0.822717 \tabularnewline
33 & -0.03298 & -0.2555 & 0.60038 \tabularnewline
34 & -0.044407 & -0.344 & 0.633968 \tabularnewline
35 & -0.038252 & -0.2963 & 0.615989 \tabularnewline
36 & 0.059312 & 0.4594 & 0.323792 \tabularnewline
37 & -0.041046 & -0.3179 & 0.624184 \tabularnewline
38 & 0.051766 & 0.401 & 0.344929 \tabularnewline
39 & 0.01389 & 0.1076 & 0.45734 \tabularnewline
40 & -0.149981 & -1.1617 & 0.87503 \tabularnewline
41 & 0.015877 & 0.123 & 0.451266 \tabularnewline
42 & 0.023583 & 0.1827 & 0.427836 \tabularnewline
43 & 0.02778 & 0.2152 & 0.415179 \tabularnewline
44 & -0.058038 & -0.4496 & 0.672676 \tabularnewline
45 & -0.088616 & -0.6864 & 0.752453 \tabularnewline
46 & -0.099272 & -0.769 & 0.777533 \tabularnewline
47 & -0.102832 & -0.7965 & 0.785568 \tabularnewline
48 & 0.031165 & 0.2414 & 0.405033 \tabularnewline
49 & 0.064478 & 0.4994 & 0.309645 \tabularnewline
50 & 0.007852 & 0.0608 & 0.475852 \tabularnewline
51 & -0.012132 & -0.094 & 0.537278 \tabularnewline
52 & -0.009445 & -0.0732 & 0.529038 \tabularnewline
53 & 0.084354 & 0.6534 & 0.257997 \tabularnewline
54 & 0.07663 & 0.5936 & 0.277515 \tabularnewline
55 & -0.064533 & -0.4999 & 0.690502 \tabularnewline
56 & 0.040611 & 0.3146 & 0.377088 \tabularnewline
57 & -0.000238 & -0.0018 & 0.500731 \tabularnewline
58 & 0.076161 & 0.5899 & 0.278722 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4475&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]0.333342[/C][C]2.5821[/C][C]0.00614[/C][/ROW]
[ROW][C]1[/C][C]0.099466[/C][C]0.7705[/C][C]0.222025[/C][/ROW]
[ROW][C]2[/C][C]-0.054768[/C][C]-0.4242[/C][C]0.663543[/C][/ROW]
[ROW][C]3[/C][C]-0.203545[/C][C]-1.5767[/C][C]0.939933[/C][/ROW]
[ROW][C]4[/C][C]-0.239864[/C][C]-1.858[/C][C]0.96596[/C][/ROW]
[ROW][C]5[/C][C]-0.387064[/C][C]-2.9982[/C][C]0.998026[/C][/ROW]
[ROW][C]6[/C][C]-0.042035[/C][C]-0.3256[/C][C]0.627072[/C][/ROW]
[ROW][C]7[/C][C]-0.102694[/C][C]-0.7955[/C][C]0.785259[/C][/ROW]
[ROW][C]8[/C][C]0.156612[/C][C]1.2131[/C][C]0.114921[/C][/ROW]
[ROW][C]9[/C][C]-8.2e-05[/C][C]-6e-04[/C][C]0.500253[/C][/ROW]
[ROW][C]10[/C][C]0.01276[/C][C]0.0988[/C][C]0.460797[/C][/ROW]
[ROW][C]11[/C][C]0.502373[/C][C]3.8914[/C][C]0.000126[/C][/ROW]
[ROW][C]12[/C][C]-0.218547[/C][C]-1.6929[/C][C]0.952165[/C][/ROW]
[ROW][C]13[/C][C]-0.121711[/C][C]-0.9428[/C][C]0.82521[/C][/ROW]
[ROW][C]14[/C][C]-0.04592[/C][C]-0.3557[/C][C]0.638342[/C][/ROW]
[ROW][C]15[/C][C]0.051849[/C][C]0.4016[/C][C]0.344696[/C][/ROW]
[ROW][C]16[/C][C]0.073178[/C][C]0.5668[/C][C]0.28647[/C][/ROW]
[ROW][C]17[/C][C]-0.012434[/C][C]-0.0963[/C][C]0.538203[/C][/ROW]
[ROW][C]18[/C][C]0.036475[/C][C]0.2825[/C][C]0.389254[/C][/ROW]
[ROW][C]19[/C][C]-0.065806[/C][C]-0.5097[/C][C]0.693945[/C][/ROW]
[ROW][C]20[/C][C]0.023057[/C][C]0.1786[/C][C]0.429427[/C][/ROW]
[ROW][C]21[/C][C]-0.00466[/C][C]-0.0361[/C][C]0.514337[/C][/ROW]
[ROW][C]22[/C][C]0.030715[/C][C]0.2379[/C][C]0.406377[/C][/ROW]
[ROW][C]23[/C][C]0.004522[/C][C]0.035[/C][C]0.486087[/C][/ROW]
[ROW][C]24[/C][C]-0.026098[/C][C]-0.2022[/C][C]0.57976[/C][/ROW]
[ROW][C]25[/C][C]-0.167664[/C][C]-1.2987[/C][C]0.900496[/C][/ROW]
[ROW][C]26[/C][C]-0.011193[/C][C]-0.0867[/C][C]0.534401[/C][/ROW]
[ROW][C]27[/C][C]-0.066362[/C][C]-0.514[/C][C]0.695443[/C][/ROW]
[ROW][C]28[/C][C]0.074792[/C][C]0.5793[/C][C]0.282265[/C][/ROW]
[ROW][C]29[/C][C]0.021668[/C][C]0.1678[/C][C]0.433637[/C][/ROW]
[ROW][C]30[/C][C]-0.092756[/C][C]-0.7185[/C][C]0.762378[/C][/ROW]
[ROW][C]31[/C][C]-0.051786[/C][C]-0.4011[/C][C]0.655126[/C][/ROW]
[ROW][C]32[/C][C]-0.120448[/C][C]-0.933[/C][C]0.822717[/C][/ROW]
[ROW][C]33[/C][C]-0.03298[/C][C]-0.2555[/C][C]0.60038[/C][/ROW]
[ROW][C]34[/C][C]-0.044407[/C][C]-0.344[/C][C]0.633968[/C][/ROW]
[ROW][C]35[/C][C]-0.038252[/C][C]-0.2963[/C][C]0.615989[/C][/ROW]
[ROW][C]36[/C][C]0.059312[/C][C]0.4594[/C][C]0.323792[/C][/ROW]
[ROW][C]37[/C][C]-0.041046[/C][C]-0.3179[/C][C]0.624184[/C][/ROW]
[ROW][C]38[/C][C]0.051766[/C][C]0.401[/C][C]0.344929[/C][/ROW]
[ROW][C]39[/C][C]0.01389[/C][C]0.1076[/C][C]0.45734[/C][/ROW]
[ROW][C]40[/C][C]-0.149981[/C][C]-1.1617[/C][C]0.87503[/C][/ROW]
[ROW][C]41[/C][C]0.015877[/C][C]0.123[/C][C]0.451266[/C][/ROW]
[ROW][C]42[/C][C]0.023583[/C][C]0.1827[/C][C]0.427836[/C][/ROW]
[ROW][C]43[/C][C]0.02778[/C][C]0.2152[/C][C]0.415179[/C][/ROW]
[ROW][C]44[/C][C]-0.058038[/C][C]-0.4496[/C][C]0.672676[/C][/ROW]
[ROW][C]45[/C][C]-0.088616[/C][C]-0.6864[/C][C]0.752453[/C][/ROW]
[ROW][C]46[/C][C]-0.099272[/C][C]-0.769[/C][C]0.777533[/C][/ROW]
[ROW][C]47[/C][C]-0.102832[/C][C]-0.7965[/C][C]0.785568[/C][/ROW]
[ROW][C]48[/C][C]0.031165[/C][C]0.2414[/C][C]0.405033[/C][/ROW]
[ROW][C]49[/C][C]0.064478[/C][C]0.4994[/C][C]0.309645[/C][/ROW]
[ROW][C]50[/C][C]0.007852[/C][C]0.0608[/C][C]0.475852[/C][/ROW]
[ROW][C]51[/C][C]-0.012132[/C][C]-0.094[/C][C]0.537278[/C][/ROW]
[ROW][C]52[/C][C]-0.009445[/C][C]-0.0732[/C][C]0.529038[/C][/ROW]
[ROW][C]53[/C][C]0.084354[/C][C]0.6534[/C][C]0.257997[/C][/ROW]
[ROW][C]54[/C][C]0.07663[/C][C]0.5936[/C][C]0.277515[/C][/ROW]
[ROW][C]55[/C][C]-0.064533[/C][C]-0.4999[/C][C]0.690502[/C][/ROW]
[ROW][C]56[/C][C]0.040611[/C][C]0.3146[/C][C]0.377088[/C][/ROW]
[ROW][C]57[/C][C]-0.000238[/C][C]-0.0018[/C][C]0.500731[/C][/ROW]
[ROW][C]58[/C][C]0.076161[/C][C]0.5899[/C][C]0.278722[/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=4475&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4475&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
00.3333422.58210.00614
10.0994660.77050.222025
2-0.054768-0.42420.663543
3-0.203545-1.57670.939933
4-0.239864-1.8580.96596
5-0.387064-2.99820.998026
6-0.042035-0.32560.627072
7-0.102694-0.79550.785259
80.1566121.21310.114921
9-8.2e-05-6e-040.500253
100.012760.09880.460797
110.5023733.89140.000126
12-0.218547-1.69290.952165
13-0.121711-0.94280.82521
14-0.04592-0.35570.638342
150.0518490.40160.344696
160.0731780.56680.28647
17-0.012434-0.09630.538203
180.0364750.28250.389254
19-0.065806-0.50970.693945
200.0230570.17860.429427
21-0.00466-0.03610.514337
220.0307150.23790.406377
230.0045220.0350.486087
24-0.026098-0.20220.57976
25-0.167664-1.29870.900496
26-0.011193-0.08670.534401
27-0.066362-0.5140.695443
280.0747920.57930.282265
290.0216680.16780.433637
30-0.092756-0.71850.762378
31-0.051786-0.40110.655126
32-0.120448-0.9330.822717
33-0.03298-0.25550.60038
34-0.044407-0.3440.633968
35-0.038252-0.29630.615989
360.0593120.45940.323792
37-0.041046-0.31790.624184
380.0517660.4010.344929
390.013890.10760.45734
40-0.149981-1.16170.87503
410.0158770.1230.451266
420.0235830.18270.427836
430.027780.21520.415179
44-0.058038-0.44960.672676
45-0.088616-0.68640.752453
46-0.099272-0.7690.777533
47-0.102832-0.79650.785568
480.0311650.24140.405033
490.0644780.49940.309645
500.0078520.06080.475852
51-0.012132-0.0940.537278
52-0.009445-0.07320.529038
530.0843540.65340.257997
540.076630.59360.277515
55-0.064533-0.49990.690502
560.0406110.31460.377088
57-0.000238-0.00180.500731
580.0761610.58990.278722
59NANANA



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