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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, 04 Dec 2007 07:45:38 -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/04/t1196778810wls8amb4um0cycf.htm/, Retrieved Thu, 02 May 2024 05:14:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2387, Retrieved Thu, 02 May 2024 05:14:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact213
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2007-12-04 14:45:38] [0c12eff582f43eaf43ae2f09e879befe] [Current]
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Dataseries X:
112.6
113.8
107.8
103.2
103.3
101.2
107.7
110.4
101.9
115.9
89.9
88.6
117.2
123.9
100
103.6
94.1
98.7
119.5
112.7
104.4
124.7
89.1
97
121.6
118.8
114
111.5
97.2
102.5
113.4
109.8
104.9
126.1
80
96.8
117.2
112.3
117.3
111.1
102.2
104.3
122.9
107.6
121.3
131.5
89
104.4
128.9
135.9
133.3
121.3
120.5
120.4
137.9
126.1
133.2
146.6
103.4
117.2




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2387&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2387&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2387&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.34850
1-0.126654-0.93070.821928
2-0.239492-1.75990.957955
30.0852030.62610.266941
40.3791062.78590.003675
50.2430611.78610.039847
6-0.673287-4.94760.999996
70.1719041.26320.105967
80.2584661.89930.031434
90.0348920.25640.399308
10-0.303911-2.23330.985152
11-0.151322-1.1120.864464
120.5305813.8990.000135
13-0.184332-1.35460.909401
14-0.174882-1.28510.897881
15-0.072098-0.52980.700793
160.2160461.58760.059107
170.0677360.49780.310337
18-0.491404-3.61110.999666
190.1313490.96520.169369
200.1069370.78580.217703
210.0135240.09940.460602
22-0.253253-1.8610.965906
23-0.051468-0.37820.646622
240.3923832.88340.002819
25-0.136046-0.99970.83905
26-0.109786-0.80680.788327
270.0122970.09040.464166
280.2366421.7390.04387
290.0498840.36660.357685
30-0.314244-2.30920.987607
310.1295120.95170.172741
320.1310830.96330.169855
33-0.017304-0.12720.550357
34-0.216673-1.59220.941413
35-0.039664-0.29150.614094
360.2392921.75840.04217
37-0.06912-0.50790.693213
38-0.179788-1.32120.903991
39-0.032113-0.2360.592829
400.1505421.10630.13676
41-0.026444-0.19430.576674
42-0.199813-1.46830.926091
43-0.011492-0.08450.533495
440.0495120.36380.3587
450.010110.07430.470527
46-0.126613-0.93040.82185
47-0.022743-0.16710.566053
480.086290.63410.264347
49-0.026561-0.19520.577009
50-0.001611-0.01180.504701
51-0.001382-0.01020.504032
520.0220540.16210.435931
530.005090.03740.48515
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.3485 & 0 \tabularnewline
1 & -0.126654 & -0.9307 & 0.821928 \tabularnewline
2 & -0.239492 & -1.7599 & 0.957955 \tabularnewline
3 & 0.085203 & 0.6261 & 0.266941 \tabularnewline
4 & 0.379106 & 2.7859 & 0.003675 \tabularnewline
5 & 0.243061 & 1.7861 & 0.039847 \tabularnewline
6 & -0.673287 & -4.9476 & 0.999996 \tabularnewline
7 & 0.171904 & 1.2632 & 0.105967 \tabularnewline
8 & 0.258466 & 1.8993 & 0.031434 \tabularnewline
9 & 0.034892 & 0.2564 & 0.399308 \tabularnewline
10 & -0.303911 & -2.2333 & 0.985152 \tabularnewline
11 & -0.151322 & -1.112 & 0.864464 \tabularnewline
12 & 0.530581 & 3.899 & 0.000135 \tabularnewline
13 & -0.184332 & -1.3546 & 0.909401 \tabularnewline
14 & -0.174882 & -1.2851 & 0.897881 \tabularnewline
15 & -0.072098 & -0.5298 & 0.700793 \tabularnewline
16 & 0.216046 & 1.5876 & 0.059107 \tabularnewline
17 & 0.067736 & 0.4978 & 0.310337 \tabularnewline
18 & -0.491404 & -3.6111 & 0.999666 \tabularnewline
19 & 0.131349 & 0.9652 & 0.169369 \tabularnewline
20 & 0.106937 & 0.7858 & 0.217703 \tabularnewline
21 & 0.013524 & 0.0994 & 0.460602 \tabularnewline
22 & -0.253253 & -1.861 & 0.965906 \tabularnewline
23 & -0.051468 & -0.3782 & 0.646622 \tabularnewline
24 & 0.392383 & 2.8834 & 0.002819 \tabularnewline
25 & -0.136046 & -0.9997 & 0.83905 \tabularnewline
26 & -0.109786 & -0.8068 & 0.788327 \tabularnewline
27 & 0.012297 & 0.0904 & 0.464166 \tabularnewline
28 & 0.236642 & 1.739 & 0.04387 \tabularnewline
29 & 0.049884 & 0.3666 & 0.357685 \tabularnewline
30 & -0.314244 & -2.3092 & 0.987607 \tabularnewline
31 & 0.129512 & 0.9517 & 0.172741 \tabularnewline
32 & 0.131083 & 0.9633 & 0.169855 \tabularnewline
33 & -0.017304 & -0.1272 & 0.550357 \tabularnewline
34 & -0.216673 & -1.5922 & 0.941413 \tabularnewline
35 & -0.039664 & -0.2915 & 0.614094 \tabularnewline
36 & 0.239292 & 1.7584 & 0.04217 \tabularnewline
37 & -0.06912 & -0.5079 & 0.693213 \tabularnewline
38 & -0.179788 & -1.3212 & 0.903991 \tabularnewline
39 & -0.032113 & -0.236 & 0.592829 \tabularnewline
40 & 0.150542 & 1.1063 & 0.13676 \tabularnewline
41 & -0.026444 & -0.1943 & 0.576674 \tabularnewline
42 & -0.199813 & -1.4683 & 0.926091 \tabularnewline
43 & -0.011492 & -0.0845 & 0.533495 \tabularnewline
44 & 0.049512 & 0.3638 & 0.3587 \tabularnewline
45 & 0.01011 & 0.0743 & 0.470527 \tabularnewline
46 & -0.126613 & -0.9304 & 0.82185 \tabularnewline
47 & -0.022743 & -0.1671 & 0.566053 \tabularnewline
48 & 0.08629 & 0.6341 & 0.264347 \tabularnewline
49 & -0.026561 & -0.1952 & 0.577009 \tabularnewline
50 & -0.001611 & -0.0118 & 0.504701 \tabularnewline
51 & -0.001382 & -0.0102 & 0.504032 \tabularnewline
52 & 0.022054 & 0.1621 & 0.435931 \tabularnewline
53 & 0.00509 & 0.0374 & 0.48515 \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2387&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]7.3485[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.126654[/C][C]-0.9307[/C][C]0.821928[/C][/ROW]
[ROW][C]2[/C][C]-0.239492[/C][C]-1.7599[/C][C]0.957955[/C][/ROW]
[ROW][C]3[/C][C]0.085203[/C][C]0.6261[/C][C]0.266941[/C][/ROW]
[ROW][C]4[/C][C]0.379106[/C][C]2.7859[/C][C]0.003675[/C][/ROW]
[ROW][C]5[/C][C]0.243061[/C][C]1.7861[/C][C]0.039847[/C][/ROW]
[ROW][C]6[/C][C]-0.673287[/C][C]-4.9476[/C][C]0.999996[/C][/ROW]
[ROW][C]7[/C][C]0.171904[/C][C]1.2632[/C][C]0.105967[/C][/ROW]
[ROW][C]8[/C][C]0.258466[/C][C]1.8993[/C][C]0.031434[/C][/ROW]
[ROW][C]9[/C][C]0.034892[/C][C]0.2564[/C][C]0.399308[/C][/ROW]
[ROW][C]10[/C][C]-0.303911[/C][C]-2.2333[/C][C]0.985152[/C][/ROW]
[ROW][C]11[/C][C]-0.151322[/C][C]-1.112[/C][C]0.864464[/C][/ROW]
[ROW][C]12[/C][C]0.530581[/C][C]3.899[/C][C]0.000135[/C][/ROW]
[ROW][C]13[/C][C]-0.184332[/C][C]-1.3546[/C][C]0.909401[/C][/ROW]
[ROW][C]14[/C][C]-0.174882[/C][C]-1.2851[/C][C]0.897881[/C][/ROW]
[ROW][C]15[/C][C]-0.072098[/C][C]-0.5298[/C][C]0.700793[/C][/ROW]
[ROW][C]16[/C][C]0.216046[/C][C]1.5876[/C][C]0.059107[/C][/ROW]
[ROW][C]17[/C][C]0.067736[/C][C]0.4978[/C][C]0.310337[/C][/ROW]
[ROW][C]18[/C][C]-0.491404[/C][C]-3.6111[/C][C]0.999666[/C][/ROW]
[ROW][C]19[/C][C]0.131349[/C][C]0.9652[/C][C]0.169369[/C][/ROW]
[ROW][C]20[/C][C]0.106937[/C][C]0.7858[/C][C]0.217703[/C][/ROW]
[ROW][C]21[/C][C]0.013524[/C][C]0.0994[/C][C]0.460602[/C][/ROW]
[ROW][C]22[/C][C]-0.253253[/C][C]-1.861[/C][C]0.965906[/C][/ROW]
[ROW][C]23[/C][C]-0.051468[/C][C]-0.3782[/C][C]0.646622[/C][/ROW]
[ROW][C]24[/C][C]0.392383[/C][C]2.8834[/C][C]0.002819[/C][/ROW]
[ROW][C]25[/C][C]-0.136046[/C][C]-0.9997[/C][C]0.83905[/C][/ROW]
[ROW][C]26[/C][C]-0.109786[/C][C]-0.8068[/C][C]0.788327[/C][/ROW]
[ROW][C]27[/C][C]0.012297[/C][C]0.0904[/C][C]0.464166[/C][/ROW]
[ROW][C]28[/C][C]0.236642[/C][C]1.739[/C][C]0.04387[/C][/ROW]
[ROW][C]29[/C][C]0.049884[/C][C]0.3666[/C][C]0.357685[/C][/ROW]
[ROW][C]30[/C][C]-0.314244[/C][C]-2.3092[/C][C]0.987607[/C][/ROW]
[ROW][C]31[/C][C]0.129512[/C][C]0.9517[/C][C]0.172741[/C][/ROW]
[ROW][C]32[/C][C]0.131083[/C][C]0.9633[/C][C]0.169855[/C][/ROW]
[ROW][C]33[/C][C]-0.017304[/C][C]-0.1272[/C][C]0.550357[/C][/ROW]
[ROW][C]34[/C][C]-0.216673[/C][C]-1.5922[/C][C]0.941413[/C][/ROW]
[ROW][C]35[/C][C]-0.039664[/C][C]-0.2915[/C][C]0.614094[/C][/ROW]
[ROW][C]36[/C][C]0.239292[/C][C]1.7584[/C][C]0.04217[/C][/ROW]
[ROW][C]37[/C][C]-0.06912[/C][C]-0.5079[/C][C]0.693213[/C][/ROW]
[ROW][C]38[/C][C]-0.179788[/C][C]-1.3212[/C][C]0.903991[/C][/ROW]
[ROW][C]39[/C][C]-0.032113[/C][C]-0.236[/C][C]0.592829[/C][/ROW]
[ROW][C]40[/C][C]0.150542[/C][C]1.1063[/C][C]0.13676[/C][/ROW]
[ROW][C]41[/C][C]-0.026444[/C][C]-0.1943[/C][C]0.576674[/C][/ROW]
[ROW][C]42[/C][C]-0.199813[/C][C]-1.4683[/C][C]0.926091[/C][/ROW]
[ROW][C]43[/C][C]-0.011492[/C][C]-0.0845[/C][C]0.533495[/C][/ROW]
[ROW][C]44[/C][C]0.049512[/C][C]0.3638[/C][C]0.3587[/C][/ROW]
[ROW][C]45[/C][C]0.01011[/C][C]0.0743[/C][C]0.470527[/C][/ROW]
[ROW][C]46[/C][C]-0.126613[/C][C]-0.9304[/C][C]0.82185[/C][/ROW]
[ROW][C]47[/C][C]-0.022743[/C][C]-0.1671[/C][C]0.566053[/C][/ROW]
[ROW][C]48[/C][C]0.08629[/C][C]0.6341[/C][C]0.264347[/C][/ROW]
[ROW][C]49[/C][C]-0.026561[/C][C]-0.1952[/C][C]0.577009[/C][/ROW]
[ROW][C]50[/C][C]-0.001611[/C][C]-0.0118[/C][C]0.504701[/C][/ROW]
[ROW][C]51[/C][C]-0.001382[/C][C]-0.0102[/C][C]0.504032[/C][/ROW]
[ROW][C]52[/C][C]0.022054[/C][C]0.1621[/C][C]0.435931[/C][/ROW]
[ROW][C]53[/C][C]0.00509[/C][C]0.0374[/C][C]0.48515[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/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=2387&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2387&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
017.34850
1-0.126654-0.93070.821928
2-0.239492-1.75990.957955
30.0852030.62610.266941
40.3791062.78590.003675
50.2430611.78610.039847
6-0.673287-4.94760.999996
70.1719041.26320.105967
80.2584661.89930.031434
90.0348920.25640.399308
10-0.303911-2.23330.985152
11-0.151322-1.1120.864464
120.5305813.8990.000135
13-0.184332-1.35460.909401
14-0.174882-1.28510.897881
15-0.072098-0.52980.700793
160.2160461.58760.059107
170.0677360.49780.310337
18-0.491404-3.61110.999666
190.1313490.96520.169369
200.1069370.78580.217703
210.0135240.09940.460602
22-0.253253-1.8610.965906
23-0.051468-0.37820.646622
240.3923832.88340.002819
25-0.136046-0.99970.83905
26-0.109786-0.80680.788327
270.0122970.09040.464166
280.2366421.7390.04387
290.0498840.36660.357685
30-0.314244-2.30920.987607
310.1295120.95170.172741
320.1310830.96330.169855
33-0.017304-0.12720.550357
34-0.216673-1.59220.941413
35-0.039664-0.29150.614094
360.2392921.75840.04217
37-0.06912-0.50790.693213
38-0.179788-1.32120.903991
39-0.032113-0.2360.592829
400.1505421.10630.13676
41-0.026444-0.19430.576674
42-0.199813-1.46830.926091
43-0.011492-0.08450.533495
440.0495120.36380.3587
450.010110.07430.470527
46-0.126613-0.93040.82185
47-0.022743-0.16710.566053
480.086290.63410.264347
49-0.026561-0.19520.577009
50-0.001611-0.01180.504701
51-0.001382-0.01020.504032
520.0220540.16210.435931
530.005090.03740.48515
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.126654-0.93070.821928
1-0.259699-1.90840.969169
20.0153670.11290.455254
30.3626612.6650.005066
40.4785083.51630.000448
5-0.591963-4.350.99997
6-0.009371-0.06890.527324
7-0.093131-0.68440.751665
80.1573091.1560.126389
90.048250.35460.362149
100.1575621.15780.126013
11-0.01099-0.08080.532034
12-0.196536-1.44420.922775
13-0.036634-0.26920.6056
14-0.064343-0.47280.680876
15-0.048619-0.35730.638861
16-0.024539-0.18030.571213
17-0.12816-0.94180.82475
18-0.046667-0.34290.63351
190.0855560.62870.266096
200.0768340.56460.287338
210.0001520.00110.499556
220.0335470.24650.403108
230.0080530.05920.476516
240.002460.01810.492822
25-0.004507-0.03310.51315
260.112990.83030.205012
27-0.048067-0.35320.63735
280.0354590.26060.397708
29-0.040053-0.29430.615181
30-0.050617-0.3720.64431
31-0.013834-0.10170.540299
32-0.043516-0.31980.624815
33-0.080279-0.58990.721151
34-0.081978-0.60240.72529
35-0.06399-0.47020.679958
360.1619161.18980.119658
37-0.05382-0.39550.652982
38-0.027359-0.2010.57929
39-0.161961-1.19020.880406
40-0.15806-1.16150.874726
410.0857810.63040.26556
420.1508331.10840.136302
43-0.104567-0.76840.777204
440.0139510.10250.459364
45-0.003453-0.02540.510075
460.0412910.30340.381365
47-0.003564-0.02620.510398
48-0.012521-0.0920.536486
49-0.013205-0.0970.538473
50-0.054539-0.40080.654919
51-0.075674-0.55610.709775
520.0048820.03590.485757
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.126654 & -0.9307 & 0.821928 \tabularnewline
1 & -0.259699 & -1.9084 & 0.969169 \tabularnewline
2 & 0.015367 & 0.1129 & 0.455254 \tabularnewline
3 & 0.362661 & 2.665 & 0.005066 \tabularnewline
4 & 0.478508 & 3.5163 & 0.000448 \tabularnewline
5 & -0.591963 & -4.35 & 0.99997 \tabularnewline
6 & -0.009371 & -0.0689 & 0.527324 \tabularnewline
7 & -0.093131 & -0.6844 & 0.751665 \tabularnewline
8 & 0.157309 & 1.156 & 0.126389 \tabularnewline
9 & 0.04825 & 0.3546 & 0.362149 \tabularnewline
10 & 0.157562 & 1.1578 & 0.126013 \tabularnewline
11 & -0.01099 & -0.0808 & 0.532034 \tabularnewline
12 & -0.196536 & -1.4442 & 0.922775 \tabularnewline
13 & -0.036634 & -0.2692 & 0.6056 \tabularnewline
14 & -0.064343 & -0.4728 & 0.680876 \tabularnewline
15 & -0.048619 & -0.3573 & 0.638861 \tabularnewline
16 & -0.024539 & -0.1803 & 0.571213 \tabularnewline
17 & -0.12816 & -0.9418 & 0.82475 \tabularnewline
18 & -0.046667 & -0.3429 & 0.63351 \tabularnewline
19 & 0.085556 & 0.6287 & 0.266096 \tabularnewline
20 & 0.076834 & 0.5646 & 0.287338 \tabularnewline
21 & 0.000152 & 0.0011 & 0.499556 \tabularnewline
22 & 0.033547 & 0.2465 & 0.403108 \tabularnewline
23 & 0.008053 & 0.0592 & 0.476516 \tabularnewline
24 & 0.00246 & 0.0181 & 0.492822 \tabularnewline
25 & -0.004507 & -0.0331 & 0.51315 \tabularnewline
26 & 0.11299 & 0.8303 & 0.205012 \tabularnewline
27 & -0.048067 & -0.3532 & 0.63735 \tabularnewline
28 & 0.035459 & 0.2606 & 0.397708 \tabularnewline
29 & -0.040053 & -0.2943 & 0.615181 \tabularnewline
30 & -0.050617 & -0.372 & 0.64431 \tabularnewline
31 & -0.013834 & -0.1017 & 0.540299 \tabularnewline
32 & -0.043516 & -0.3198 & 0.624815 \tabularnewline
33 & -0.080279 & -0.5899 & 0.721151 \tabularnewline
34 & -0.081978 & -0.6024 & 0.72529 \tabularnewline
35 & -0.06399 & -0.4702 & 0.679958 \tabularnewline
36 & 0.161916 & 1.1898 & 0.119658 \tabularnewline
37 & -0.05382 & -0.3955 & 0.652982 \tabularnewline
38 & -0.027359 & -0.201 & 0.57929 \tabularnewline
39 & -0.161961 & -1.1902 & 0.880406 \tabularnewline
40 & -0.15806 & -1.1615 & 0.874726 \tabularnewline
41 & 0.085781 & 0.6304 & 0.26556 \tabularnewline
42 & 0.150833 & 1.1084 & 0.136302 \tabularnewline
43 & -0.104567 & -0.7684 & 0.777204 \tabularnewline
44 & 0.013951 & 0.1025 & 0.459364 \tabularnewline
45 & -0.003453 & -0.0254 & 0.510075 \tabularnewline
46 & 0.041291 & 0.3034 & 0.381365 \tabularnewline
47 & -0.003564 & -0.0262 & 0.510398 \tabularnewline
48 & -0.012521 & -0.092 & 0.536486 \tabularnewline
49 & -0.013205 & -0.097 & 0.538473 \tabularnewline
50 & -0.054539 & -0.4008 & 0.654919 \tabularnewline
51 & -0.075674 & -0.5561 & 0.709775 \tabularnewline
52 & 0.004882 & 0.0359 & 0.485757 \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2387&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]-0.126654[/C][C]-0.9307[/C][C]0.821928[/C][/ROW]
[ROW][C]1[/C][C]-0.259699[/C][C]-1.9084[/C][C]0.969169[/C][/ROW]
[ROW][C]2[/C][C]0.015367[/C][C]0.1129[/C][C]0.455254[/C][/ROW]
[ROW][C]3[/C][C]0.362661[/C][C]2.665[/C][C]0.005066[/C][/ROW]
[ROW][C]4[/C][C]0.478508[/C][C]3.5163[/C][C]0.000448[/C][/ROW]
[ROW][C]5[/C][C]-0.591963[/C][C]-4.35[/C][C]0.99997[/C][/ROW]
[ROW][C]6[/C][C]-0.009371[/C][C]-0.0689[/C][C]0.527324[/C][/ROW]
[ROW][C]7[/C][C]-0.093131[/C][C]-0.6844[/C][C]0.751665[/C][/ROW]
[ROW][C]8[/C][C]0.157309[/C][C]1.156[/C][C]0.126389[/C][/ROW]
[ROW][C]9[/C][C]0.04825[/C][C]0.3546[/C][C]0.362149[/C][/ROW]
[ROW][C]10[/C][C]0.157562[/C][C]1.1578[/C][C]0.126013[/C][/ROW]
[ROW][C]11[/C][C]-0.01099[/C][C]-0.0808[/C][C]0.532034[/C][/ROW]
[ROW][C]12[/C][C]-0.196536[/C][C]-1.4442[/C][C]0.922775[/C][/ROW]
[ROW][C]13[/C][C]-0.036634[/C][C]-0.2692[/C][C]0.6056[/C][/ROW]
[ROW][C]14[/C][C]-0.064343[/C][C]-0.4728[/C][C]0.680876[/C][/ROW]
[ROW][C]15[/C][C]-0.048619[/C][C]-0.3573[/C][C]0.638861[/C][/ROW]
[ROW][C]16[/C][C]-0.024539[/C][C]-0.1803[/C][C]0.571213[/C][/ROW]
[ROW][C]17[/C][C]-0.12816[/C][C]-0.9418[/C][C]0.82475[/C][/ROW]
[ROW][C]18[/C][C]-0.046667[/C][C]-0.3429[/C][C]0.63351[/C][/ROW]
[ROW][C]19[/C][C]0.085556[/C][C]0.6287[/C][C]0.266096[/C][/ROW]
[ROW][C]20[/C][C]0.076834[/C][C]0.5646[/C][C]0.287338[/C][/ROW]
[ROW][C]21[/C][C]0.000152[/C][C]0.0011[/C][C]0.499556[/C][/ROW]
[ROW][C]22[/C][C]0.033547[/C][C]0.2465[/C][C]0.403108[/C][/ROW]
[ROW][C]23[/C][C]0.008053[/C][C]0.0592[/C][C]0.476516[/C][/ROW]
[ROW][C]24[/C][C]0.00246[/C][C]0.0181[/C][C]0.492822[/C][/ROW]
[ROW][C]25[/C][C]-0.004507[/C][C]-0.0331[/C][C]0.51315[/C][/ROW]
[ROW][C]26[/C][C]0.11299[/C][C]0.8303[/C][C]0.205012[/C][/ROW]
[ROW][C]27[/C][C]-0.048067[/C][C]-0.3532[/C][C]0.63735[/C][/ROW]
[ROW][C]28[/C][C]0.035459[/C][C]0.2606[/C][C]0.397708[/C][/ROW]
[ROW][C]29[/C][C]-0.040053[/C][C]-0.2943[/C][C]0.615181[/C][/ROW]
[ROW][C]30[/C][C]-0.050617[/C][C]-0.372[/C][C]0.64431[/C][/ROW]
[ROW][C]31[/C][C]-0.013834[/C][C]-0.1017[/C][C]0.540299[/C][/ROW]
[ROW][C]32[/C][C]-0.043516[/C][C]-0.3198[/C][C]0.624815[/C][/ROW]
[ROW][C]33[/C][C]-0.080279[/C][C]-0.5899[/C][C]0.721151[/C][/ROW]
[ROW][C]34[/C][C]-0.081978[/C][C]-0.6024[/C][C]0.72529[/C][/ROW]
[ROW][C]35[/C][C]-0.06399[/C][C]-0.4702[/C][C]0.679958[/C][/ROW]
[ROW][C]36[/C][C]0.161916[/C][C]1.1898[/C][C]0.119658[/C][/ROW]
[ROW][C]37[/C][C]-0.05382[/C][C]-0.3955[/C][C]0.652982[/C][/ROW]
[ROW][C]38[/C][C]-0.027359[/C][C]-0.201[/C][C]0.57929[/C][/ROW]
[ROW][C]39[/C][C]-0.161961[/C][C]-1.1902[/C][C]0.880406[/C][/ROW]
[ROW][C]40[/C][C]-0.15806[/C][C]-1.1615[/C][C]0.874726[/C][/ROW]
[ROW][C]41[/C][C]0.085781[/C][C]0.6304[/C][C]0.26556[/C][/ROW]
[ROW][C]42[/C][C]0.150833[/C][C]1.1084[/C][C]0.136302[/C][/ROW]
[ROW][C]43[/C][C]-0.104567[/C][C]-0.7684[/C][C]0.777204[/C][/ROW]
[ROW][C]44[/C][C]0.013951[/C][C]0.1025[/C][C]0.459364[/C][/ROW]
[ROW][C]45[/C][C]-0.003453[/C][C]-0.0254[/C][C]0.510075[/C][/ROW]
[ROW][C]46[/C][C]0.041291[/C][C]0.3034[/C][C]0.381365[/C][/ROW]
[ROW][C]47[/C][C]-0.003564[/C][C]-0.0262[/C][C]0.510398[/C][/ROW]
[ROW][C]48[/C][C]-0.012521[/C][C]-0.092[/C][C]0.536486[/C][/ROW]
[ROW][C]49[/C][C]-0.013205[/C][C]-0.097[/C][C]0.538473[/C][/ROW]
[ROW][C]50[/C][C]-0.054539[/C][C]-0.4008[/C][C]0.654919[/C][/ROW]
[ROW][C]51[/C][C]-0.075674[/C][C]-0.5561[/C][C]0.709775[/C][/ROW]
[ROW][C]52[/C][C]0.004882[/C][C]0.0359[/C][C]0.485757[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/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=2387&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2387&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
0-0.126654-0.93070.821928
1-0.259699-1.90840.969169
20.0153670.11290.455254
30.3626612.6650.005066
40.4785083.51630.000448
5-0.591963-4.350.99997
6-0.009371-0.06890.527324
7-0.093131-0.68440.751665
80.1573091.1560.126389
90.048250.35460.362149
100.1575621.15780.126013
11-0.01099-0.08080.532034
12-0.196536-1.44420.922775
13-0.036634-0.26920.6056
14-0.064343-0.47280.680876
15-0.048619-0.35730.638861
16-0.024539-0.18030.571213
17-0.12816-0.94180.82475
18-0.046667-0.34290.63351
190.0855560.62870.266096
200.0768340.56460.287338
210.0001520.00110.499556
220.0335470.24650.403108
230.0080530.05920.476516
240.002460.01810.492822
25-0.004507-0.03310.51315
260.112990.83030.205012
27-0.048067-0.35320.63735
280.0354590.26060.397708
29-0.040053-0.29430.615181
30-0.050617-0.3720.64431
31-0.013834-0.10170.540299
32-0.043516-0.31980.624815
33-0.080279-0.58990.721151
34-0.081978-0.60240.72529
35-0.06399-0.47020.679958
360.1619161.18980.119658
37-0.05382-0.39550.652982
38-0.027359-0.2010.57929
39-0.161961-1.19020.880406
40-0.15806-1.16150.874726
410.0857810.63040.26556
420.1508331.10840.136302
43-0.104567-0.76840.777204
440.0139510.10250.459364
45-0.003453-0.02540.510075
460.0412910.30340.381365
47-0.003564-0.02620.510398
48-0.012521-0.0920.536486
49-0.013205-0.0970.538473
50-0.054539-0.40080.654919
51-0.075674-0.55610.709775
520.0048820.03590.485757
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 6 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 6 ;
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')