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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Nov 2010 15:20:26 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/17/t1290007160mijwdcbsdsl0pmp.htm/, Retrieved Fri, 29 Mar 2024 06:56:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96714, Retrieved Fri, 29 Mar 2024 06:56:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2010-11-17 15:20:26] [c6158409503ffaeb6d7b5957d384c3e1] [Current]
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Dataseries X:
84,9
81,9
95,9
81
89,2
102,5
89,8
88,8
83,2
90,2
100,4
187,1
87,6
85,4
86,1
86,7
89,1
103,7
86,9
85,2
80,8
91,2
102,8
182,5
80,9
83,1
88,3
86,6
93
105,3
93,8
86,4
87
96,7
100,5
196,7
86,8
88,2
93,8
85
90,4
115,9
94,9
87,7
91,7
95,9
106,8
204,5
90,2
90,5
93,2
97,8
99,4
120
108,2
98,5
104,3
102,9
111,1
188,1
93,8
94,5
112,4
102,5
115,8
136,5
122,1
110,6
116,4
112,6
121,5
199,3




Summary of computational 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 computational 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=96714&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]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=96714&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96714&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0635760.53950.295616
2-0.055384-0.46990.319906
3-0.04485-0.38060.352324
4-0.078422-0.66540.25395
50.0325240.2760.391679
60.3162572.68350.004516
70.0232850.19760.421964
8-0.104653-0.8880.188746
9-0.055401-0.47010.319854
10-0.101117-0.8580.196868
11-0.001968-0.01670.493362
120.7971426.7640
130.0112560.09550.462088
14-0.08685-0.73690.231774
15-0.080131-0.67990.249362
16-0.10271-0.87150.193182
17-0.012284-0.10420.458637
180.2276691.93180.028658
19-0.00242-0.02050.491836
20-0.111954-0.950.172655
21-0.071018-0.60260.274333
22-0.109367-0.9280.178251
23-0.032608-0.27670.391407
240.632835.36970
25-0.014322-0.12150.451807
26-0.101175-0.85850.196733
27-0.103866-0.88130.190535
28-0.117025-0.9930.16202
29-0.054236-0.46020.323376
300.1473211.25010.107662
31-0.029091-0.24680.402864
32-0.120015-1.01840.155959
33-0.070481-0.5980.275842
34-0.113696-0.96470.168951
35-0.051909-0.44050.330461
360.4320613.66620.000234
37-0.032279-0.27390.392473
38-0.096462-0.81850.207885
39-0.099855-0.84730.199819
40-0.097489-0.82720.205421
41-0.05897-0.50040.309169
420.0708120.60090.274911
43-0.03227-0.27380.392503
44-0.101721-0.86310.195466
45-0.065795-0.55830.289189
46-0.107281-0.91030.182848
47-0.065829-0.55860.289092
480.2368062.00940.024124

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.063576 & 0.5395 & 0.295616 \tabularnewline
2 & -0.055384 & -0.4699 & 0.319906 \tabularnewline
3 & -0.04485 & -0.3806 & 0.352324 \tabularnewline
4 & -0.078422 & -0.6654 & 0.25395 \tabularnewline
5 & 0.032524 & 0.276 & 0.391679 \tabularnewline
6 & 0.316257 & 2.6835 & 0.004516 \tabularnewline
7 & 0.023285 & 0.1976 & 0.421964 \tabularnewline
8 & -0.104653 & -0.888 & 0.188746 \tabularnewline
9 & -0.055401 & -0.4701 & 0.319854 \tabularnewline
10 & -0.101117 & -0.858 & 0.196868 \tabularnewline
11 & -0.001968 & -0.0167 & 0.493362 \tabularnewline
12 & 0.797142 & 6.764 & 0 \tabularnewline
13 & 0.011256 & 0.0955 & 0.462088 \tabularnewline
14 & -0.08685 & -0.7369 & 0.231774 \tabularnewline
15 & -0.080131 & -0.6799 & 0.249362 \tabularnewline
16 & -0.10271 & -0.8715 & 0.193182 \tabularnewline
17 & -0.012284 & -0.1042 & 0.458637 \tabularnewline
18 & 0.227669 & 1.9318 & 0.028658 \tabularnewline
19 & -0.00242 & -0.0205 & 0.491836 \tabularnewline
20 & -0.111954 & -0.95 & 0.172655 \tabularnewline
21 & -0.071018 & -0.6026 & 0.274333 \tabularnewline
22 & -0.109367 & -0.928 & 0.178251 \tabularnewline
23 & -0.032608 & -0.2767 & 0.391407 \tabularnewline
24 & 0.63283 & 5.3697 & 0 \tabularnewline
25 & -0.014322 & -0.1215 & 0.451807 \tabularnewline
26 & -0.101175 & -0.8585 & 0.196733 \tabularnewline
27 & -0.103866 & -0.8813 & 0.190535 \tabularnewline
28 & -0.117025 & -0.993 & 0.16202 \tabularnewline
29 & -0.054236 & -0.4602 & 0.323376 \tabularnewline
30 & 0.147321 & 1.2501 & 0.107662 \tabularnewline
31 & -0.029091 & -0.2468 & 0.402864 \tabularnewline
32 & -0.120015 & -1.0184 & 0.155959 \tabularnewline
33 & -0.070481 & -0.598 & 0.275842 \tabularnewline
34 & -0.113696 & -0.9647 & 0.168951 \tabularnewline
35 & -0.051909 & -0.4405 & 0.330461 \tabularnewline
36 & 0.432061 & 3.6662 & 0.000234 \tabularnewline
37 & -0.032279 & -0.2739 & 0.392473 \tabularnewline
38 & -0.096462 & -0.8185 & 0.207885 \tabularnewline
39 & -0.099855 & -0.8473 & 0.199819 \tabularnewline
40 & -0.097489 & -0.8272 & 0.205421 \tabularnewline
41 & -0.05897 & -0.5004 & 0.309169 \tabularnewline
42 & 0.070812 & 0.6009 & 0.274911 \tabularnewline
43 & -0.03227 & -0.2738 & 0.392503 \tabularnewline
44 & -0.101721 & -0.8631 & 0.195466 \tabularnewline
45 & -0.065795 & -0.5583 & 0.289189 \tabularnewline
46 & -0.107281 & -0.9103 & 0.182848 \tabularnewline
47 & -0.065829 & -0.5586 & 0.289092 \tabularnewline
48 & 0.236806 & 2.0094 & 0.024124 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96714&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]0.063576[/C][C]0.5395[/C][C]0.295616[/C][/ROW]
[ROW][C]2[/C][C]-0.055384[/C][C]-0.4699[/C][C]0.319906[/C][/ROW]
[ROW][C]3[/C][C]-0.04485[/C][C]-0.3806[/C][C]0.352324[/C][/ROW]
[ROW][C]4[/C][C]-0.078422[/C][C]-0.6654[/C][C]0.25395[/C][/ROW]
[ROW][C]5[/C][C]0.032524[/C][C]0.276[/C][C]0.391679[/C][/ROW]
[ROW][C]6[/C][C]0.316257[/C][C]2.6835[/C][C]0.004516[/C][/ROW]
[ROW][C]7[/C][C]0.023285[/C][C]0.1976[/C][C]0.421964[/C][/ROW]
[ROW][C]8[/C][C]-0.104653[/C][C]-0.888[/C][C]0.188746[/C][/ROW]
[ROW][C]9[/C][C]-0.055401[/C][C]-0.4701[/C][C]0.319854[/C][/ROW]
[ROW][C]10[/C][C]-0.101117[/C][C]-0.858[/C][C]0.196868[/C][/ROW]
[ROW][C]11[/C][C]-0.001968[/C][C]-0.0167[/C][C]0.493362[/C][/ROW]
[ROW][C]12[/C][C]0.797142[/C][C]6.764[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.011256[/C][C]0.0955[/C][C]0.462088[/C][/ROW]
[ROW][C]14[/C][C]-0.08685[/C][C]-0.7369[/C][C]0.231774[/C][/ROW]
[ROW][C]15[/C][C]-0.080131[/C][C]-0.6799[/C][C]0.249362[/C][/ROW]
[ROW][C]16[/C][C]-0.10271[/C][C]-0.8715[/C][C]0.193182[/C][/ROW]
[ROW][C]17[/C][C]-0.012284[/C][C]-0.1042[/C][C]0.458637[/C][/ROW]
[ROW][C]18[/C][C]0.227669[/C][C]1.9318[/C][C]0.028658[/C][/ROW]
[ROW][C]19[/C][C]-0.00242[/C][C]-0.0205[/C][C]0.491836[/C][/ROW]
[ROW][C]20[/C][C]-0.111954[/C][C]-0.95[/C][C]0.172655[/C][/ROW]
[ROW][C]21[/C][C]-0.071018[/C][C]-0.6026[/C][C]0.274333[/C][/ROW]
[ROW][C]22[/C][C]-0.109367[/C][C]-0.928[/C][C]0.178251[/C][/ROW]
[ROW][C]23[/C][C]-0.032608[/C][C]-0.2767[/C][C]0.391407[/C][/ROW]
[ROW][C]24[/C][C]0.63283[/C][C]5.3697[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.014322[/C][C]-0.1215[/C][C]0.451807[/C][/ROW]
[ROW][C]26[/C][C]-0.101175[/C][C]-0.8585[/C][C]0.196733[/C][/ROW]
[ROW][C]27[/C][C]-0.103866[/C][C]-0.8813[/C][C]0.190535[/C][/ROW]
[ROW][C]28[/C][C]-0.117025[/C][C]-0.993[/C][C]0.16202[/C][/ROW]
[ROW][C]29[/C][C]-0.054236[/C][C]-0.4602[/C][C]0.323376[/C][/ROW]
[ROW][C]30[/C][C]0.147321[/C][C]1.2501[/C][C]0.107662[/C][/ROW]
[ROW][C]31[/C][C]-0.029091[/C][C]-0.2468[/C][C]0.402864[/C][/ROW]
[ROW][C]32[/C][C]-0.120015[/C][C]-1.0184[/C][C]0.155959[/C][/ROW]
[ROW][C]33[/C][C]-0.070481[/C][C]-0.598[/C][C]0.275842[/C][/ROW]
[ROW][C]34[/C][C]-0.113696[/C][C]-0.9647[/C][C]0.168951[/C][/ROW]
[ROW][C]35[/C][C]-0.051909[/C][C]-0.4405[/C][C]0.330461[/C][/ROW]
[ROW][C]36[/C][C]0.432061[/C][C]3.6662[/C][C]0.000234[/C][/ROW]
[ROW][C]37[/C][C]-0.032279[/C][C]-0.2739[/C][C]0.392473[/C][/ROW]
[ROW][C]38[/C][C]-0.096462[/C][C]-0.8185[/C][C]0.207885[/C][/ROW]
[ROW][C]39[/C][C]-0.099855[/C][C]-0.8473[/C][C]0.199819[/C][/ROW]
[ROW][C]40[/C][C]-0.097489[/C][C]-0.8272[/C][C]0.205421[/C][/ROW]
[ROW][C]41[/C][C]-0.05897[/C][C]-0.5004[/C][C]0.309169[/C][/ROW]
[ROW][C]42[/C][C]0.070812[/C][C]0.6009[/C][C]0.274911[/C][/ROW]
[ROW][C]43[/C][C]-0.03227[/C][C]-0.2738[/C][C]0.392503[/C][/ROW]
[ROW][C]44[/C][C]-0.101721[/C][C]-0.8631[/C][C]0.195466[/C][/ROW]
[ROW][C]45[/C][C]-0.065795[/C][C]-0.5583[/C][C]0.289189[/C][/ROW]
[ROW][C]46[/C][C]-0.107281[/C][C]-0.9103[/C][C]0.182848[/C][/ROW]
[ROW][C]47[/C][C]-0.065829[/C][C]-0.5586[/C][C]0.289092[/C][/ROW]
[ROW][C]48[/C][C]0.236806[/C][C]2.0094[/C][C]0.024124[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96714&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96714&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
10.0635760.53950.295616
2-0.055384-0.46990.319906
3-0.04485-0.38060.352324
4-0.078422-0.66540.25395
50.0325240.2760.391679
60.3162572.68350.004516
70.0232850.19760.421964
8-0.104653-0.8880.188746
9-0.055401-0.47010.319854
10-0.101117-0.8580.196868
11-0.001968-0.01670.493362
120.7971426.7640
130.0112560.09550.462088
14-0.08685-0.73690.231774
15-0.080131-0.67990.249362
16-0.10271-0.87150.193182
17-0.012284-0.10420.458637
180.2276691.93180.028658
19-0.00242-0.02050.491836
20-0.111954-0.950.172655
21-0.071018-0.60260.274333
22-0.109367-0.9280.178251
23-0.032608-0.27670.391407
240.632835.36970
25-0.014322-0.12150.451807
26-0.101175-0.85850.196733
27-0.103866-0.88130.190535
28-0.117025-0.9930.16202
29-0.054236-0.46020.323376
300.1473211.25010.107662
31-0.029091-0.24680.402864
32-0.120015-1.01840.155959
33-0.070481-0.5980.275842
34-0.113696-0.96470.168951
35-0.051909-0.44050.330461
360.4320613.66620.000234
37-0.032279-0.27390.392473
38-0.096462-0.81850.207885
39-0.099855-0.84730.199819
40-0.097489-0.82720.205421
41-0.05897-0.50040.309169
420.0708120.60090.274911
43-0.03227-0.27380.392503
44-0.101721-0.86310.195466
45-0.065795-0.55830.289189
46-0.107281-0.91030.182848
47-0.065829-0.55860.289092
480.2368062.00940.024124







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0635760.53950.295616
2-0.059667-0.50630.3071
3-0.037611-0.31910.375274
4-0.076966-0.65310.257893
50.0383020.3250.373062
60.3062172.59830.005677
7-0.017137-0.14540.442396
8-0.089691-0.7610.224556
9-0.023399-0.19850.421588
10-0.065933-0.55950.288791
11-0.016094-0.13660.445879
120.7787536.60790
13-0.237751-2.01740.023692
14-0.094468-0.80160.212713
15-0.047846-0.4060.342978
16-0.058207-0.49390.31144
17-0.076108-0.64580.260233
18-0.174304-1.4790.071749
190.060640.51450.304223
200.0703290.59680.276268
21-0.047789-0.40550.343154
220.0784940.6660.253756
230.0267130.22670.410663
24-0.024615-0.20890.41757
25-0.012251-0.1040.458746
26-0.050333-0.42710.335293
27-0.024272-0.2060.418705
28-0.053396-0.45310.325925
29-0.068559-0.58170.28128
30-0.013675-0.1160.453974
31-0.028518-0.2420.404741
32-0.006672-0.05660.477506
330.0522150.44310.329525
34-0.021586-0.18320.427592
350.0099970.08480.466317
36-0.240777-2.04310.022354
370.0696470.5910.278194
380.0411590.34920.363964
39-0.029566-0.25090.401313
400.0614570.52150.301817
410.0311520.26430.396138
42-0.045791-0.38850.349379
430.0096370.08180.467526
44-0.040983-0.34780.364521
45-0.027482-0.23320.408138
46-0.079375-0.67350.251388
47-0.075693-0.64230.261366
48-0.111246-0.9440.174174

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.063576 & 0.5395 & 0.295616 \tabularnewline
2 & -0.059667 & -0.5063 & 0.3071 \tabularnewline
3 & -0.037611 & -0.3191 & 0.375274 \tabularnewline
4 & -0.076966 & -0.6531 & 0.257893 \tabularnewline
5 & 0.038302 & 0.325 & 0.373062 \tabularnewline
6 & 0.306217 & 2.5983 & 0.005677 \tabularnewline
7 & -0.017137 & -0.1454 & 0.442396 \tabularnewline
8 & -0.089691 & -0.761 & 0.224556 \tabularnewline
9 & -0.023399 & -0.1985 & 0.421588 \tabularnewline
10 & -0.065933 & -0.5595 & 0.288791 \tabularnewline
11 & -0.016094 & -0.1366 & 0.445879 \tabularnewline
12 & 0.778753 & 6.6079 & 0 \tabularnewline
13 & -0.237751 & -2.0174 & 0.023692 \tabularnewline
14 & -0.094468 & -0.8016 & 0.212713 \tabularnewline
15 & -0.047846 & -0.406 & 0.342978 \tabularnewline
16 & -0.058207 & -0.4939 & 0.31144 \tabularnewline
17 & -0.076108 & -0.6458 & 0.260233 \tabularnewline
18 & -0.174304 & -1.479 & 0.071749 \tabularnewline
19 & 0.06064 & 0.5145 & 0.304223 \tabularnewline
20 & 0.070329 & 0.5968 & 0.276268 \tabularnewline
21 & -0.047789 & -0.4055 & 0.343154 \tabularnewline
22 & 0.078494 & 0.666 & 0.253756 \tabularnewline
23 & 0.026713 & 0.2267 & 0.410663 \tabularnewline
24 & -0.024615 & -0.2089 & 0.41757 \tabularnewline
25 & -0.012251 & -0.104 & 0.458746 \tabularnewline
26 & -0.050333 & -0.4271 & 0.335293 \tabularnewline
27 & -0.024272 & -0.206 & 0.418705 \tabularnewline
28 & -0.053396 & -0.4531 & 0.325925 \tabularnewline
29 & -0.068559 & -0.5817 & 0.28128 \tabularnewline
30 & -0.013675 & -0.116 & 0.453974 \tabularnewline
31 & -0.028518 & -0.242 & 0.404741 \tabularnewline
32 & -0.006672 & -0.0566 & 0.477506 \tabularnewline
33 & 0.052215 & 0.4431 & 0.329525 \tabularnewline
34 & -0.021586 & -0.1832 & 0.427592 \tabularnewline
35 & 0.009997 & 0.0848 & 0.466317 \tabularnewline
36 & -0.240777 & -2.0431 & 0.022354 \tabularnewline
37 & 0.069647 & 0.591 & 0.278194 \tabularnewline
38 & 0.041159 & 0.3492 & 0.363964 \tabularnewline
39 & -0.029566 & -0.2509 & 0.401313 \tabularnewline
40 & 0.061457 & 0.5215 & 0.301817 \tabularnewline
41 & 0.031152 & 0.2643 & 0.396138 \tabularnewline
42 & -0.045791 & -0.3885 & 0.349379 \tabularnewline
43 & 0.009637 & 0.0818 & 0.467526 \tabularnewline
44 & -0.040983 & -0.3478 & 0.364521 \tabularnewline
45 & -0.027482 & -0.2332 & 0.408138 \tabularnewline
46 & -0.079375 & -0.6735 & 0.251388 \tabularnewline
47 & -0.075693 & -0.6423 & 0.261366 \tabularnewline
48 & -0.111246 & -0.944 & 0.174174 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96714&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]0.063576[/C][C]0.5395[/C][C]0.295616[/C][/ROW]
[ROW][C]2[/C][C]-0.059667[/C][C]-0.5063[/C][C]0.3071[/C][/ROW]
[ROW][C]3[/C][C]-0.037611[/C][C]-0.3191[/C][C]0.375274[/C][/ROW]
[ROW][C]4[/C][C]-0.076966[/C][C]-0.6531[/C][C]0.257893[/C][/ROW]
[ROW][C]5[/C][C]0.038302[/C][C]0.325[/C][C]0.373062[/C][/ROW]
[ROW][C]6[/C][C]0.306217[/C][C]2.5983[/C][C]0.005677[/C][/ROW]
[ROW][C]7[/C][C]-0.017137[/C][C]-0.1454[/C][C]0.442396[/C][/ROW]
[ROW][C]8[/C][C]-0.089691[/C][C]-0.761[/C][C]0.224556[/C][/ROW]
[ROW][C]9[/C][C]-0.023399[/C][C]-0.1985[/C][C]0.421588[/C][/ROW]
[ROW][C]10[/C][C]-0.065933[/C][C]-0.5595[/C][C]0.288791[/C][/ROW]
[ROW][C]11[/C][C]-0.016094[/C][C]-0.1366[/C][C]0.445879[/C][/ROW]
[ROW][C]12[/C][C]0.778753[/C][C]6.6079[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.237751[/C][C]-2.0174[/C][C]0.023692[/C][/ROW]
[ROW][C]14[/C][C]-0.094468[/C][C]-0.8016[/C][C]0.212713[/C][/ROW]
[ROW][C]15[/C][C]-0.047846[/C][C]-0.406[/C][C]0.342978[/C][/ROW]
[ROW][C]16[/C][C]-0.058207[/C][C]-0.4939[/C][C]0.31144[/C][/ROW]
[ROW][C]17[/C][C]-0.076108[/C][C]-0.6458[/C][C]0.260233[/C][/ROW]
[ROW][C]18[/C][C]-0.174304[/C][C]-1.479[/C][C]0.071749[/C][/ROW]
[ROW][C]19[/C][C]0.06064[/C][C]0.5145[/C][C]0.304223[/C][/ROW]
[ROW][C]20[/C][C]0.070329[/C][C]0.5968[/C][C]0.276268[/C][/ROW]
[ROW][C]21[/C][C]-0.047789[/C][C]-0.4055[/C][C]0.343154[/C][/ROW]
[ROW][C]22[/C][C]0.078494[/C][C]0.666[/C][C]0.253756[/C][/ROW]
[ROW][C]23[/C][C]0.026713[/C][C]0.2267[/C][C]0.410663[/C][/ROW]
[ROW][C]24[/C][C]-0.024615[/C][C]-0.2089[/C][C]0.41757[/C][/ROW]
[ROW][C]25[/C][C]-0.012251[/C][C]-0.104[/C][C]0.458746[/C][/ROW]
[ROW][C]26[/C][C]-0.050333[/C][C]-0.4271[/C][C]0.335293[/C][/ROW]
[ROW][C]27[/C][C]-0.024272[/C][C]-0.206[/C][C]0.418705[/C][/ROW]
[ROW][C]28[/C][C]-0.053396[/C][C]-0.4531[/C][C]0.325925[/C][/ROW]
[ROW][C]29[/C][C]-0.068559[/C][C]-0.5817[/C][C]0.28128[/C][/ROW]
[ROW][C]30[/C][C]-0.013675[/C][C]-0.116[/C][C]0.453974[/C][/ROW]
[ROW][C]31[/C][C]-0.028518[/C][C]-0.242[/C][C]0.404741[/C][/ROW]
[ROW][C]32[/C][C]-0.006672[/C][C]-0.0566[/C][C]0.477506[/C][/ROW]
[ROW][C]33[/C][C]0.052215[/C][C]0.4431[/C][C]0.329525[/C][/ROW]
[ROW][C]34[/C][C]-0.021586[/C][C]-0.1832[/C][C]0.427592[/C][/ROW]
[ROW][C]35[/C][C]0.009997[/C][C]0.0848[/C][C]0.466317[/C][/ROW]
[ROW][C]36[/C][C]-0.240777[/C][C]-2.0431[/C][C]0.022354[/C][/ROW]
[ROW][C]37[/C][C]0.069647[/C][C]0.591[/C][C]0.278194[/C][/ROW]
[ROW][C]38[/C][C]0.041159[/C][C]0.3492[/C][C]0.363964[/C][/ROW]
[ROW][C]39[/C][C]-0.029566[/C][C]-0.2509[/C][C]0.401313[/C][/ROW]
[ROW][C]40[/C][C]0.061457[/C][C]0.5215[/C][C]0.301817[/C][/ROW]
[ROW][C]41[/C][C]0.031152[/C][C]0.2643[/C][C]0.396138[/C][/ROW]
[ROW][C]42[/C][C]-0.045791[/C][C]-0.3885[/C][C]0.349379[/C][/ROW]
[ROW][C]43[/C][C]0.009637[/C][C]0.0818[/C][C]0.467526[/C][/ROW]
[ROW][C]44[/C][C]-0.040983[/C][C]-0.3478[/C][C]0.364521[/C][/ROW]
[ROW][C]45[/C][C]-0.027482[/C][C]-0.2332[/C][C]0.408138[/C][/ROW]
[ROW][C]46[/C][C]-0.079375[/C][C]-0.6735[/C][C]0.251388[/C][/ROW]
[ROW][C]47[/C][C]-0.075693[/C][C]-0.6423[/C][C]0.261366[/C][/ROW]
[ROW][C]48[/C][C]-0.111246[/C][C]-0.944[/C][C]0.174174[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96714&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96714&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
10.0635760.53950.295616
2-0.059667-0.50630.3071
3-0.037611-0.31910.375274
4-0.076966-0.65310.257893
50.0383020.3250.373062
60.3062172.59830.005677
7-0.017137-0.14540.442396
8-0.089691-0.7610.224556
9-0.023399-0.19850.421588
10-0.065933-0.55950.288791
11-0.016094-0.13660.445879
120.7787536.60790
13-0.237751-2.01740.023692
14-0.094468-0.80160.212713
15-0.047846-0.4060.342978
16-0.058207-0.49390.31144
17-0.076108-0.64580.260233
18-0.174304-1.4790.071749
190.060640.51450.304223
200.0703290.59680.276268
21-0.047789-0.40550.343154
220.0784940.6660.253756
230.0267130.22670.410663
24-0.024615-0.20890.41757
25-0.012251-0.1040.458746
26-0.050333-0.42710.335293
27-0.024272-0.2060.418705
28-0.053396-0.45310.325925
29-0.068559-0.58170.28128
30-0.013675-0.1160.453974
31-0.028518-0.2420.404741
32-0.006672-0.05660.477506
330.0522150.44310.329525
34-0.021586-0.18320.427592
350.0099970.08480.466317
36-0.240777-2.04310.022354
370.0696470.5910.278194
380.0411590.34920.363964
39-0.029566-0.25090.401313
400.0614570.52150.301817
410.0311520.26430.396138
42-0.045791-0.38850.349379
430.0096370.08180.467526
44-0.040983-0.34780.364521
45-0.027482-0.23320.408138
46-0.079375-0.67350.251388
47-0.075693-0.64230.261366
48-0.111246-0.9440.174174



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')