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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 computationFri, 12 Dec 2008 07:01:20 -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/12/t12290905340s5lbxiq7syvu1o.htm/, Retrieved Fri, 17 May 2024 19:34:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32747, Retrieved Fri, 17 May 2024 19:34:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [mannen pacf] [2008-12-12 13:52:07] [e43247bc0ab243a5af99ac7f55ba0b41]
-   PD    [(Partial) Autocorrelation Function] [pacf mannen meer ...] [2008-12-12 14:01:20] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
-   P       [(Partial) Autocorrelation Function] [cor met lamda = 1 ] [2008-12-17 15:51:34] [e43247bc0ab243a5af99ac7f55ba0b41]
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Dataseries X:
7.8
7.6
7.5
7.6
7.5
7.3
7.6
7.5
7.6
7.9
7.9
8.1
8.2
8.0
7.5
6.8
6.5
6.6
7.6
8.0
8.0
7.7
7.5
7.6
7.7
7.9
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.1
7.9
7.3
6.9
6.6
6.7
6.9
7.0
7.1
7.2
7.1
6.9
7.0
6.8
6.4
6.7
6.7
6.4
6.3
6.2
6.5
6.8
6.8
6.5
6.3
5.9
5.9
6.4
6.4




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=32747&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=32747&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32747&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
10.3641672.98080.002002
2-0.037788-0.30930.379025
3-0.317456-2.59850.005752
4-0.456428-3.7360.000194
5-0.160519-1.31390.09668
60.0434950.3560.361472
70.0809890.66290.254828
8-0.070521-0.57720.282856
9-0.087354-0.7150.23854
10-0.07238-0.59250.277769
11-0.022454-0.18380.427365
120.2821232.30930.01201
130.084530.69190.245694
140.1633431.3370.09287
150.0849840.69560.244536
16-0.073211-0.59930.27551
17-0.120281-0.98450.164195
18-0.124341-1.01780.156224
19-0.012836-0.10510.458317
20-0.039447-0.32290.373893
210.0288020.23580.407172
22-0.04089-0.33470.369449
23-0.176609-1.44560.076475
24-0.010489-0.08590.465917
25-0.042856-0.35080.363424
260.1464951.19910.117354
270.1998631.63590.05327
280.1107820.90680.183885
290.0705830.57770.282685
30-0.035825-0.29320.385122
31-0.118461-0.96960.167856
32-0.177351-1.45170.075628
33-0.098471-0.8060.211541
34-0.076014-0.62220.267961
350.0294010.24070.405277
360.1639581.34210.092055
370.019850.16250.435708
38-0.03553-0.29080.386042
39-0.067607-0.55340.290921
400.012180.09970.460442
410.1313321.0750.143115
420.1511971.23760.110091
430.0200220.16390.435156
44-0.182579-1.49450.069874
45-0.151372-1.2390.109828
46-0.110988-0.90850.183443
470.0224770.1840.427291
480.2117951.73360.043793
490.094580.77420.220775
50-0.004254-0.03480.486162
51-0.014231-0.11650.453809
52-0.052229-0.42750.335187
53-0.054135-0.44310.329554
540.0053250.04360.48268
55-0.004371-0.03580.485784
56-0.013064-0.10690.45758
570.0410380.33590.368995
58-0.014281-0.11690.453645
59-0.009615-0.07870.468751
600.0337680.27640.391546

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.364167 & 2.9808 & 0.002002 \tabularnewline
2 & -0.037788 & -0.3093 & 0.379025 \tabularnewline
3 & -0.317456 & -2.5985 & 0.005752 \tabularnewline
4 & -0.456428 & -3.736 & 0.000194 \tabularnewline
5 & -0.160519 & -1.3139 & 0.09668 \tabularnewline
6 & 0.043495 & 0.356 & 0.361472 \tabularnewline
7 & 0.080989 & 0.6629 & 0.254828 \tabularnewline
8 & -0.070521 & -0.5772 & 0.282856 \tabularnewline
9 & -0.087354 & -0.715 & 0.23854 \tabularnewline
10 & -0.07238 & -0.5925 & 0.277769 \tabularnewline
11 & -0.022454 & -0.1838 & 0.427365 \tabularnewline
12 & 0.282123 & 2.3093 & 0.01201 \tabularnewline
13 & 0.08453 & 0.6919 & 0.245694 \tabularnewline
14 & 0.163343 & 1.337 & 0.09287 \tabularnewline
15 & 0.084984 & 0.6956 & 0.244536 \tabularnewline
16 & -0.073211 & -0.5993 & 0.27551 \tabularnewline
17 & -0.120281 & -0.9845 & 0.164195 \tabularnewline
18 & -0.124341 & -1.0178 & 0.156224 \tabularnewline
19 & -0.012836 & -0.1051 & 0.458317 \tabularnewline
20 & -0.039447 & -0.3229 & 0.373893 \tabularnewline
21 & 0.028802 & 0.2358 & 0.407172 \tabularnewline
22 & -0.04089 & -0.3347 & 0.369449 \tabularnewline
23 & -0.176609 & -1.4456 & 0.076475 \tabularnewline
24 & -0.010489 & -0.0859 & 0.465917 \tabularnewline
25 & -0.042856 & -0.3508 & 0.363424 \tabularnewline
26 & 0.146495 & 1.1991 & 0.117354 \tabularnewline
27 & 0.199863 & 1.6359 & 0.05327 \tabularnewline
28 & 0.110782 & 0.9068 & 0.183885 \tabularnewline
29 & 0.070583 & 0.5777 & 0.282685 \tabularnewline
30 & -0.035825 & -0.2932 & 0.385122 \tabularnewline
31 & -0.118461 & -0.9696 & 0.167856 \tabularnewline
32 & -0.177351 & -1.4517 & 0.075628 \tabularnewline
33 & -0.098471 & -0.806 & 0.211541 \tabularnewline
34 & -0.076014 & -0.6222 & 0.267961 \tabularnewline
35 & 0.029401 & 0.2407 & 0.405277 \tabularnewline
36 & 0.163958 & 1.3421 & 0.092055 \tabularnewline
37 & 0.01985 & 0.1625 & 0.435708 \tabularnewline
38 & -0.03553 & -0.2908 & 0.386042 \tabularnewline
39 & -0.067607 & -0.5534 & 0.290921 \tabularnewline
40 & 0.01218 & 0.0997 & 0.460442 \tabularnewline
41 & 0.131332 & 1.075 & 0.143115 \tabularnewline
42 & 0.151197 & 1.2376 & 0.110091 \tabularnewline
43 & 0.020022 & 0.1639 & 0.435156 \tabularnewline
44 & -0.182579 & -1.4945 & 0.069874 \tabularnewline
45 & -0.151372 & -1.239 & 0.109828 \tabularnewline
46 & -0.110988 & -0.9085 & 0.183443 \tabularnewline
47 & 0.022477 & 0.184 & 0.427291 \tabularnewline
48 & 0.211795 & 1.7336 & 0.043793 \tabularnewline
49 & 0.09458 & 0.7742 & 0.220775 \tabularnewline
50 & -0.004254 & -0.0348 & 0.486162 \tabularnewline
51 & -0.014231 & -0.1165 & 0.453809 \tabularnewline
52 & -0.052229 & -0.4275 & 0.335187 \tabularnewline
53 & -0.054135 & -0.4431 & 0.329554 \tabularnewline
54 & 0.005325 & 0.0436 & 0.48268 \tabularnewline
55 & -0.004371 & -0.0358 & 0.485784 \tabularnewline
56 & -0.013064 & -0.1069 & 0.45758 \tabularnewline
57 & 0.041038 & 0.3359 & 0.368995 \tabularnewline
58 & -0.014281 & -0.1169 & 0.453645 \tabularnewline
59 & -0.009615 & -0.0787 & 0.468751 \tabularnewline
60 & 0.033768 & 0.2764 & 0.391546 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32747&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]0.364167[/C][C]2.9808[/C][C]0.002002[/C][/ROW]
[ROW][C]2[/C][C]-0.037788[/C][C]-0.3093[/C][C]0.379025[/C][/ROW]
[ROW][C]3[/C][C]-0.317456[/C][C]-2.5985[/C][C]0.005752[/C][/ROW]
[ROW][C]4[/C][C]-0.456428[/C][C]-3.736[/C][C]0.000194[/C][/ROW]
[ROW][C]5[/C][C]-0.160519[/C][C]-1.3139[/C][C]0.09668[/C][/ROW]
[ROW][C]6[/C][C]0.043495[/C][C]0.356[/C][C]0.361472[/C][/ROW]
[ROW][C]7[/C][C]0.080989[/C][C]0.6629[/C][C]0.254828[/C][/ROW]
[ROW][C]8[/C][C]-0.070521[/C][C]-0.5772[/C][C]0.282856[/C][/ROW]
[ROW][C]9[/C][C]-0.087354[/C][C]-0.715[/C][C]0.23854[/C][/ROW]
[ROW][C]10[/C][C]-0.07238[/C][C]-0.5925[/C][C]0.277769[/C][/ROW]
[ROW][C]11[/C][C]-0.022454[/C][C]-0.1838[/C][C]0.427365[/C][/ROW]
[ROW][C]12[/C][C]0.282123[/C][C]2.3093[/C][C]0.01201[/C][/ROW]
[ROW][C]13[/C][C]0.08453[/C][C]0.6919[/C][C]0.245694[/C][/ROW]
[ROW][C]14[/C][C]0.163343[/C][C]1.337[/C][C]0.09287[/C][/ROW]
[ROW][C]15[/C][C]0.084984[/C][C]0.6956[/C][C]0.244536[/C][/ROW]
[ROW][C]16[/C][C]-0.073211[/C][C]-0.5993[/C][C]0.27551[/C][/ROW]
[ROW][C]17[/C][C]-0.120281[/C][C]-0.9845[/C][C]0.164195[/C][/ROW]
[ROW][C]18[/C][C]-0.124341[/C][C]-1.0178[/C][C]0.156224[/C][/ROW]
[ROW][C]19[/C][C]-0.012836[/C][C]-0.1051[/C][C]0.458317[/C][/ROW]
[ROW][C]20[/C][C]-0.039447[/C][C]-0.3229[/C][C]0.373893[/C][/ROW]
[ROW][C]21[/C][C]0.028802[/C][C]0.2358[/C][C]0.407172[/C][/ROW]
[ROW][C]22[/C][C]-0.04089[/C][C]-0.3347[/C][C]0.369449[/C][/ROW]
[ROW][C]23[/C][C]-0.176609[/C][C]-1.4456[/C][C]0.076475[/C][/ROW]
[ROW][C]24[/C][C]-0.010489[/C][C]-0.0859[/C][C]0.465917[/C][/ROW]
[ROW][C]25[/C][C]-0.042856[/C][C]-0.3508[/C][C]0.363424[/C][/ROW]
[ROW][C]26[/C][C]0.146495[/C][C]1.1991[/C][C]0.117354[/C][/ROW]
[ROW][C]27[/C][C]0.199863[/C][C]1.6359[/C][C]0.05327[/C][/ROW]
[ROW][C]28[/C][C]0.110782[/C][C]0.9068[/C][C]0.183885[/C][/ROW]
[ROW][C]29[/C][C]0.070583[/C][C]0.5777[/C][C]0.282685[/C][/ROW]
[ROW][C]30[/C][C]-0.035825[/C][C]-0.2932[/C][C]0.385122[/C][/ROW]
[ROW][C]31[/C][C]-0.118461[/C][C]-0.9696[/C][C]0.167856[/C][/ROW]
[ROW][C]32[/C][C]-0.177351[/C][C]-1.4517[/C][C]0.075628[/C][/ROW]
[ROW][C]33[/C][C]-0.098471[/C][C]-0.806[/C][C]0.211541[/C][/ROW]
[ROW][C]34[/C][C]-0.076014[/C][C]-0.6222[/C][C]0.267961[/C][/ROW]
[ROW][C]35[/C][C]0.029401[/C][C]0.2407[/C][C]0.405277[/C][/ROW]
[ROW][C]36[/C][C]0.163958[/C][C]1.3421[/C][C]0.092055[/C][/ROW]
[ROW][C]37[/C][C]0.01985[/C][C]0.1625[/C][C]0.435708[/C][/ROW]
[ROW][C]38[/C][C]-0.03553[/C][C]-0.2908[/C][C]0.386042[/C][/ROW]
[ROW][C]39[/C][C]-0.067607[/C][C]-0.5534[/C][C]0.290921[/C][/ROW]
[ROW][C]40[/C][C]0.01218[/C][C]0.0997[/C][C]0.460442[/C][/ROW]
[ROW][C]41[/C][C]0.131332[/C][C]1.075[/C][C]0.143115[/C][/ROW]
[ROW][C]42[/C][C]0.151197[/C][C]1.2376[/C][C]0.110091[/C][/ROW]
[ROW][C]43[/C][C]0.020022[/C][C]0.1639[/C][C]0.435156[/C][/ROW]
[ROW][C]44[/C][C]-0.182579[/C][C]-1.4945[/C][C]0.069874[/C][/ROW]
[ROW][C]45[/C][C]-0.151372[/C][C]-1.239[/C][C]0.109828[/C][/ROW]
[ROW][C]46[/C][C]-0.110988[/C][C]-0.9085[/C][C]0.183443[/C][/ROW]
[ROW][C]47[/C][C]0.022477[/C][C]0.184[/C][C]0.427291[/C][/ROW]
[ROW][C]48[/C][C]0.211795[/C][C]1.7336[/C][C]0.043793[/C][/ROW]
[ROW][C]49[/C][C]0.09458[/C][C]0.7742[/C][C]0.220775[/C][/ROW]
[ROW][C]50[/C][C]-0.004254[/C][C]-0.0348[/C][C]0.486162[/C][/ROW]
[ROW][C]51[/C][C]-0.014231[/C][C]-0.1165[/C][C]0.453809[/C][/ROW]
[ROW][C]52[/C][C]-0.052229[/C][C]-0.4275[/C][C]0.335187[/C][/ROW]
[ROW][C]53[/C][C]-0.054135[/C][C]-0.4431[/C][C]0.329554[/C][/ROW]
[ROW][C]54[/C][C]0.005325[/C][C]0.0436[/C][C]0.48268[/C][/ROW]
[ROW][C]55[/C][C]-0.004371[/C][C]-0.0358[/C][C]0.485784[/C][/ROW]
[ROW][C]56[/C][C]-0.013064[/C][C]-0.1069[/C][C]0.45758[/C][/ROW]
[ROW][C]57[/C][C]0.041038[/C][C]0.3359[/C][C]0.368995[/C][/ROW]
[ROW][C]58[/C][C]-0.014281[/C][C]-0.1169[/C][C]0.453645[/C][/ROW]
[ROW][C]59[/C][C]-0.009615[/C][C]-0.0787[/C][C]0.468751[/C][/ROW]
[ROW][C]60[/C][C]0.033768[/C][C]0.2764[/C][C]0.391546[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32747&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32747&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
10.3641672.98080.002002
2-0.037788-0.30930.379025
3-0.317456-2.59850.005752
4-0.456428-3.7360.000194
5-0.160519-1.31390.09668
60.0434950.3560.361472
70.0809890.66290.254828
8-0.070521-0.57720.282856
9-0.087354-0.7150.23854
10-0.07238-0.59250.277769
11-0.022454-0.18380.427365
120.2821232.30930.01201
130.084530.69190.245694
140.1633431.3370.09287
150.0849840.69560.244536
16-0.073211-0.59930.27551
17-0.120281-0.98450.164195
18-0.124341-1.01780.156224
19-0.012836-0.10510.458317
20-0.039447-0.32290.373893
210.0288020.23580.407172
22-0.04089-0.33470.369449
23-0.176609-1.44560.076475
24-0.010489-0.08590.465917
25-0.042856-0.35080.363424
260.1464951.19910.117354
270.1998631.63590.05327
280.1107820.90680.183885
290.0705830.57770.282685
30-0.035825-0.29320.385122
31-0.118461-0.96960.167856
32-0.177351-1.45170.075628
33-0.098471-0.8060.211541
34-0.076014-0.62220.267961
350.0294010.24070.405277
360.1639581.34210.092055
370.019850.16250.435708
38-0.03553-0.29080.386042
39-0.067607-0.55340.290921
400.012180.09970.460442
410.1313321.0750.143115
420.1511971.23760.110091
430.0200220.16390.435156
44-0.182579-1.49450.069874
45-0.151372-1.2390.109828
46-0.110988-0.90850.183443
470.0224770.1840.427291
480.2117951.73360.043793
490.094580.77420.220775
50-0.004254-0.03480.486162
51-0.014231-0.11650.453809
52-0.052229-0.42750.335187
53-0.054135-0.44310.329554
540.0053250.04360.48268
55-0.004371-0.03580.485784
56-0.013064-0.10690.45758
570.0410380.33590.368995
58-0.014281-0.11690.453645
59-0.009615-0.07870.468751
600.0337680.27640.391546







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3641672.98080.002002
2-0.19646-1.60810.056259
3-0.275148-2.25220.013796
4-0.308733-2.52710.006934
50.0711010.5820.281265
6-0.046161-0.37780.353371
7-0.155169-1.27010.104219
8-0.311396-2.54890.006552
9-0.037755-0.3090.379126
10-0.089178-0.730.233982
11-0.170146-1.39270.084157
120.1631321.33530.09315
13-0.265109-2.170.016778
140.2466272.01870.02376
150.0016720.01370.494561
160.0708380.57980.281987
17-0.147709-1.2090.115447
180.136551.11770.133841
190.1206680.98770.163424
20-0.045803-0.37490.354454
21-0.001418-0.01160.495386
22-0.075236-0.61580.270044
23-0.068611-0.56160.288129
24-0.068491-0.56060.288463
25-0.069175-0.56620.286566
26-0.091341-0.74770.228641
270.019570.16020.436609
28-0.059089-0.48370.315102
290.1063840.87080.193488
30-0.059693-0.48860.313358
31-0.113962-0.93280.177131
32-0.013569-0.11110.455949
33-0.060826-0.49790.310099
34-0.084764-0.69380.245095
350.0873590.71510.238527
360.0227880.18650.426298
37-0.042697-0.34950.363907
38-0.152421-1.24760.108256
390.0172830.14150.443963
400.0853770.69880.243536
41-0.054649-0.44730.328042
420.0046390.0380.484911
43-0.123077-1.00740.158676
44-0.07872-0.64430.260775
450.0167790.13730.445585
46-0.041143-0.33680.368672
47-0.117914-0.96520.168966
480.0970730.79460.214832
49-0.004474-0.03660.48545
500.0194290.1590.43706
510.0474970.38880.349336
520.0122090.09990.460346
53-0.001538-0.01260.494996
54-0.087198-0.71370.238933
55-0.013177-0.10790.457216
56-0.010968-0.08980.464367
57-0.046261-0.37870.353067
580.001630.01330.494698
590.0393440.3220.37421
60-0.043016-0.35210.362935

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.364167 & 2.9808 & 0.002002 \tabularnewline
2 & -0.19646 & -1.6081 & 0.056259 \tabularnewline
3 & -0.275148 & -2.2522 & 0.013796 \tabularnewline
4 & -0.308733 & -2.5271 & 0.006934 \tabularnewline
5 & 0.071101 & 0.582 & 0.281265 \tabularnewline
6 & -0.046161 & -0.3778 & 0.353371 \tabularnewline
7 & -0.155169 & -1.2701 & 0.104219 \tabularnewline
8 & -0.311396 & -2.5489 & 0.006552 \tabularnewline
9 & -0.037755 & -0.309 & 0.379126 \tabularnewline
10 & -0.089178 & -0.73 & 0.233982 \tabularnewline
11 & -0.170146 & -1.3927 & 0.084157 \tabularnewline
12 & 0.163132 & 1.3353 & 0.09315 \tabularnewline
13 & -0.265109 & -2.17 & 0.016778 \tabularnewline
14 & 0.246627 & 2.0187 & 0.02376 \tabularnewline
15 & 0.001672 & 0.0137 & 0.494561 \tabularnewline
16 & 0.070838 & 0.5798 & 0.281987 \tabularnewline
17 & -0.147709 & -1.209 & 0.115447 \tabularnewline
18 & 0.13655 & 1.1177 & 0.133841 \tabularnewline
19 & 0.120668 & 0.9877 & 0.163424 \tabularnewline
20 & -0.045803 & -0.3749 & 0.354454 \tabularnewline
21 & -0.001418 & -0.0116 & 0.495386 \tabularnewline
22 & -0.075236 & -0.6158 & 0.270044 \tabularnewline
23 & -0.068611 & -0.5616 & 0.288129 \tabularnewline
24 & -0.068491 & -0.5606 & 0.288463 \tabularnewline
25 & -0.069175 & -0.5662 & 0.286566 \tabularnewline
26 & -0.091341 & -0.7477 & 0.228641 \tabularnewline
27 & 0.01957 & 0.1602 & 0.436609 \tabularnewline
28 & -0.059089 & -0.4837 & 0.315102 \tabularnewline
29 & 0.106384 & 0.8708 & 0.193488 \tabularnewline
30 & -0.059693 & -0.4886 & 0.313358 \tabularnewline
31 & -0.113962 & -0.9328 & 0.177131 \tabularnewline
32 & -0.013569 & -0.1111 & 0.455949 \tabularnewline
33 & -0.060826 & -0.4979 & 0.310099 \tabularnewline
34 & -0.084764 & -0.6938 & 0.245095 \tabularnewline
35 & 0.087359 & 0.7151 & 0.238527 \tabularnewline
36 & 0.022788 & 0.1865 & 0.426298 \tabularnewline
37 & -0.042697 & -0.3495 & 0.363907 \tabularnewline
38 & -0.152421 & -1.2476 & 0.108256 \tabularnewline
39 & 0.017283 & 0.1415 & 0.443963 \tabularnewline
40 & 0.085377 & 0.6988 & 0.243536 \tabularnewline
41 & -0.054649 & -0.4473 & 0.328042 \tabularnewline
42 & 0.004639 & 0.038 & 0.484911 \tabularnewline
43 & -0.123077 & -1.0074 & 0.158676 \tabularnewline
44 & -0.07872 & -0.6443 & 0.260775 \tabularnewline
45 & 0.016779 & 0.1373 & 0.445585 \tabularnewline
46 & -0.041143 & -0.3368 & 0.368672 \tabularnewline
47 & -0.117914 & -0.9652 & 0.168966 \tabularnewline
48 & 0.097073 & 0.7946 & 0.214832 \tabularnewline
49 & -0.004474 & -0.0366 & 0.48545 \tabularnewline
50 & 0.019429 & 0.159 & 0.43706 \tabularnewline
51 & 0.047497 & 0.3888 & 0.349336 \tabularnewline
52 & 0.012209 & 0.0999 & 0.460346 \tabularnewline
53 & -0.001538 & -0.0126 & 0.494996 \tabularnewline
54 & -0.087198 & -0.7137 & 0.238933 \tabularnewline
55 & -0.013177 & -0.1079 & 0.457216 \tabularnewline
56 & -0.010968 & -0.0898 & 0.464367 \tabularnewline
57 & -0.046261 & -0.3787 & 0.353067 \tabularnewline
58 & 0.00163 & 0.0133 & 0.494698 \tabularnewline
59 & 0.039344 & 0.322 & 0.37421 \tabularnewline
60 & -0.043016 & -0.3521 & 0.362935 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32747&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]0.364167[/C][C]2.9808[/C][C]0.002002[/C][/ROW]
[ROW][C]2[/C][C]-0.19646[/C][C]-1.6081[/C][C]0.056259[/C][/ROW]
[ROW][C]3[/C][C]-0.275148[/C][C]-2.2522[/C][C]0.013796[/C][/ROW]
[ROW][C]4[/C][C]-0.308733[/C][C]-2.5271[/C][C]0.006934[/C][/ROW]
[ROW][C]5[/C][C]0.071101[/C][C]0.582[/C][C]0.281265[/C][/ROW]
[ROW][C]6[/C][C]-0.046161[/C][C]-0.3778[/C][C]0.353371[/C][/ROW]
[ROW][C]7[/C][C]-0.155169[/C][C]-1.2701[/C][C]0.104219[/C][/ROW]
[ROW][C]8[/C][C]-0.311396[/C][C]-2.5489[/C][C]0.006552[/C][/ROW]
[ROW][C]9[/C][C]-0.037755[/C][C]-0.309[/C][C]0.379126[/C][/ROW]
[ROW][C]10[/C][C]-0.089178[/C][C]-0.73[/C][C]0.233982[/C][/ROW]
[ROW][C]11[/C][C]-0.170146[/C][C]-1.3927[/C][C]0.084157[/C][/ROW]
[ROW][C]12[/C][C]0.163132[/C][C]1.3353[/C][C]0.09315[/C][/ROW]
[ROW][C]13[/C][C]-0.265109[/C][C]-2.17[/C][C]0.016778[/C][/ROW]
[ROW][C]14[/C][C]0.246627[/C][C]2.0187[/C][C]0.02376[/C][/ROW]
[ROW][C]15[/C][C]0.001672[/C][C]0.0137[/C][C]0.494561[/C][/ROW]
[ROW][C]16[/C][C]0.070838[/C][C]0.5798[/C][C]0.281987[/C][/ROW]
[ROW][C]17[/C][C]-0.147709[/C][C]-1.209[/C][C]0.115447[/C][/ROW]
[ROW][C]18[/C][C]0.13655[/C][C]1.1177[/C][C]0.133841[/C][/ROW]
[ROW][C]19[/C][C]0.120668[/C][C]0.9877[/C][C]0.163424[/C][/ROW]
[ROW][C]20[/C][C]-0.045803[/C][C]-0.3749[/C][C]0.354454[/C][/ROW]
[ROW][C]21[/C][C]-0.001418[/C][C]-0.0116[/C][C]0.495386[/C][/ROW]
[ROW][C]22[/C][C]-0.075236[/C][C]-0.6158[/C][C]0.270044[/C][/ROW]
[ROW][C]23[/C][C]-0.068611[/C][C]-0.5616[/C][C]0.288129[/C][/ROW]
[ROW][C]24[/C][C]-0.068491[/C][C]-0.5606[/C][C]0.288463[/C][/ROW]
[ROW][C]25[/C][C]-0.069175[/C][C]-0.5662[/C][C]0.286566[/C][/ROW]
[ROW][C]26[/C][C]-0.091341[/C][C]-0.7477[/C][C]0.228641[/C][/ROW]
[ROW][C]27[/C][C]0.01957[/C][C]0.1602[/C][C]0.436609[/C][/ROW]
[ROW][C]28[/C][C]-0.059089[/C][C]-0.4837[/C][C]0.315102[/C][/ROW]
[ROW][C]29[/C][C]0.106384[/C][C]0.8708[/C][C]0.193488[/C][/ROW]
[ROW][C]30[/C][C]-0.059693[/C][C]-0.4886[/C][C]0.313358[/C][/ROW]
[ROW][C]31[/C][C]-0.113962[/C][C]-0.9328[/C][C]0.177131[/C][/ROW]
[ROW][C]32[/C][C]-0.013569[/C][C]-0.1111[/C][C]0.455949[/C][/ROW]
[ROW][C]33[/C][C]-0.060826[/C][C]-0.4979[/C][C]0.310099[/C][/ROW]
[ROW][C]34[/C][C]-0.084764[/C][C]-0.6938[/C][C]0.245095[/C][/ROW]
[ROW][C]35[/C][C]0.087359[/C][C]0.7151[/C][C]0.238527[/C][/ROW]
[ROW][C]36[/C][C]0.022788[/C][C]0.1865[/C][C]0.426298[/C][/ROW]
[ROW][C]37[/C][C]-0.042697[/C][C]-0.3495[/C][C]0.363907[/C][/ROW]
[ROW][C]38[/C][C]-0.152421[/C][C]-1.2476[/C][C]0.108256[/C][/ROW]
[ROW][C]39[/C][C]0.017283[/C][C]0.1415[/C][C]0.443963[/C][/ROW]
[ROW][C]40[/C][C]0.085377[/C][C]0.6988[/C][C]0.243536[/C][/ROW]
[ROW][C]41[/C][C]-0.054649[/C][C]-0.4473[/C][C]0.328042[/C][/ROW]
[ROW][C]42[/C][C]0.004639[/C][C]0.038[/C][C]0.484911[/C][/ROW]
[ROW][C]43[/C][C]-0.123077[/C][C]-1.0074[/C][C]0.158676[/C][/ROW]
[ROW][C]44[/C][C]-0.07872[/C][C]-0.6443[/C][C]0.260775[/C][/ROW]
[ROW][C]45[/C][C]0.016779[/C][C]0.1373[/C][C]0.445585[/C][/ROW]
[ROW][C]46[/C][C]-0.041143[/C][C]-0.3368[/C][C]0.368672[/C][/ROW]
[ROW][C]47[/C][C]-0.117914[/C][C]-0.9652[/C][C]0.168966[/C][/ROW]
[ROW][C]48[/C][C]0.097073[/C][C]0.7946[/C][C]0.214832[/C][/ROW]
[ROW][C]49[/C][C]-0.004474[/C][C]-0.0366[/C][C]0.48545[/C][/ROW]
[ROW][C]50[/C][C]0.019429[/C][C]0.159[/C][C]0.43706[/C][/ROW]
[ROW][C]51[/C][C]0.047497[/C][C]0.3888[/C][C]0.349336[/C][/ROW]
[ROW][C]52[/C][C]0.012209[/C][C]0.0999[/C][C]0.460346[/C][/ROW]
[ROW][C]53[/C][C]-0.001538[/C][C]-0.0126[/C][C]0.494996[/C][/ROW]
[ROW][C]54[/C][C]-0.087198[/C][C]-0.7137[/C][C]0.238933[/C][/ROW]
[ROW][C]55[/C][C]-0.013177[/C][C]-0.1079[/C][C]0.457216[/C][/ROW]
[ROW][C]56[/C][C]-0.010968[/C][C]-0.0898[/C][C]0.464367[/C][/ROW]
[ROW][C]57[/C][C]-0.046261[/C][C]-0.3787[/C][C]0.353067[/C][/ROW]
[ROW][C]58[/C][C]0.00163[/C][C]0.0133[/C][C]0.494698[/C][/ROW]
[ROW][C]59[/C][C]0.039344[/C][C]0.322[/C][C]0.37421[/C][/ROW]
[ROW][C]60[/C][C]-0.043016[/C][C]-0.3521[/C][C]0.362935[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32747&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32747&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
10.3641672.98080.002002
2-0.19646-1.60810.056259
3-0.275148-2.25220.013796
4-0.308733-2.52710.006934
50.0711010.5820.281265
6-0.046161-0.37780.353371
7-0.155169-1.27010.104219
8-0.311396-2.54890.006552
9-0.037755-0.3090.379126
10-0.089178-0.730.233982
11-0.170146-1.39270.084157
120.1631321.33530.09315
13-0.265109-2.170.016778
140.2466272.01870.02376
150.0016720.01370.494561
160.0708380.57980.281987
17-0.147709-1.2090.115447
180.136551.11770.133841
190.1206680.98770.163424
20-0.045803-0.37490.354454
21-0.001418-0.01160.495386
22-0.075236-0.61580.270044
23-0.068611-0.56160.288129
24-0.068491-0.56060.288463
25-0.069175-0.56620.286566
26-0.091341-0.74770.228641
270.019570.16020.436609
28-0.059089-0.48370.315102
290.1063840.87080.193488
30-0.059693-0.48860.313358
31-0.113962-0.93280.177131
32-0.013569-0.11110.455949
33-0.060826-0.49790.310099
34-0.084764-0.69380.245095
350.0873590.71510.238527
360.0227880.18650.426298
37-0.042697-0.34950.363907
38-0.152421-1.24760.108256
390.0172830.14150.443963
400.0853770.69880.243536
41-0.054649-0.44730.328042
420.0046390.0380.484911
43-0.123077-1.00740.158676
44-0.07872-0.64430.260775
450.0167790.13730.445585
46-0.041143-0.33680.368672
47-0.117914-0.96520.168966
480.0970730.79460.214832
49-0.004474-0.03660.48545
500.0194290.1590.43706
510.0474970.38880.349336
520.0122090.09990.460346
53-0.001538-0.01260.494996
54-0.087198-0.71370.238933
55-0.013177-0.10790.457216
56-0.010968-0.08980.464367
57-0.046261-0.37870.353067
580.001630.01330.494698
590.0393440.3220.37421
60-0.043016-0.35210.362935



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; 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')