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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 10 Dec 2007 13:47:57 -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/10/t11973188170lmu7st4hsarsrz.htm/, Retrieved Mon, 06 May 2024 12:04:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3047, Retrieved Mon, 06 May 2024 12:04:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650550 s0650062
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inducing Stationa...] [2007-12-10 20:47:57] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
2.25
1.85
1.75
1.75
1.55
1.5
1.5
1.1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1.21
1.25
1.25
1.45
1.5
1.5
1.64
1.75
1.93
2
2.17
2.25
2.39
2.5
2.5
2.65
2.75
2.75
2.9
3
3
3
3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3047&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3047&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3047&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
10.1968791.34970.091783
20.1060680.72720.235365
30.3722672.55210.007008
40.0013540.00930.496317
50.027760.19030.424943
60.236821.62360.055579
70.0687020.4710.31991
8-0.010259-0.07030.527885
9-0.152169-1.04320.848908
10-0.062229-0.42660.664199
11-0.184637-1.26580.89409
12-0.284643-1.95140.971509
13-0.160802-1.10240.86205
14-0.236776-1.62330.944388
15-0.173836-1.19180.880331
16-0.148826-1.02030.843595
17-0.130325-0.89350.811919
180.0174050.11930.452765
19-0.149654-1.0260.844922
20-0.106948-0.73320.76646
210.0980360.67210.252405
22-0.106499-0.73010.76553
23-8.2e-05-6e-040.500223
240.2667651.82880.036886
250.0856690.58730.2799
260.1172420.80380.212788
270.2156941.47870.072943
280.1632121.11890.134429
290.0776930.53260.298398
300.0564950.38730.350137
310.1694751.16190.12558
320.101070.69290.245891
33-0.007045-0.04830.519157
340.1553941.06530.146086
350.011930.08180.467582
36-0.072123-0.49440.688354
37-0.007524-0.05160.520459
38-0.181876-1.24690.89069
39-0.141033-0.96690.830722
40-0.141469-0.96990.83146
41-0.073302-0.50250.69118
42-0.043094-0.29540.61552
43-0.106558-0.73050.765653
44-0.135895-0.93160.82186
45-0.093219-0.63910.737062
46-0.135107-0.92620.820474
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
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 & 6.8557 & 0 \tabularnewline
1 & 0.196879 & 1.3497 & 0.091783 \tabularnewline
2 & 0.106068 & 0.7272 & 0.235365 \tabularnewline
3 & 0.372267 & 2.5521 & 0.007008 \tabularnewline
4 & 0.001354 & 0.0093 & 0.496317 \tabularnewline
5 & 0.02776 & 0.1903 & 0.424943 \tabularnewline
6 & 0.23682 & 1.6236 & 0.055579 \tabularnewline
7 & 0.068702 & 0.471 & 0.31991 \tabularnewline
8 & -0.010259 & -0.0703 & 0.527885 \tabularnewline
9 & -0.152169 & -1.0432 & 0.848908 \tabularnewline
10 & -0.062229 & -0.4266 & 0.664199 \tabularnewline
11 & -0.184637 & -1.2658 & 0.89409 \tabularnewline
12 & -0.284643 & -1.9514 & 0.971509 \tabularnewline
13 & -0.160802 & -1.1024 & 0.86205 \tabularnewline
14 & -0.236776 & -1.6233 & 0.944388 \tabularnewline
15 & -0.173836 & -1.1918 & 0.880331 \tabularnewline
16 & -0.148826 & -1.0203 & 0.843595 \tabularnewline
17 & -0.130325 & -0.8935 & 0.811919 \tabularnewline
18 & 0.017405 & 0.1193 & 0.452765 \tabularnewline
19 & -0.149654 & -1.026 & 0.844922 \tabularnewline
20 & -0.106948 & -0.7332 & 0.76646 \tabularnewline
21 & 0.098036 & 0.6721 & 0.252405 \tabularnewline
22 & -0.106499 & -0.7301 & 0.76553 \tabularnewline
23 & -8.2e-05 & -6e-04 & 0.500223 \tabularnewline
24 & 0.266765 & 1.8288 & 0.036886 \tabularnewline
25 & 0.085669 & 0.5873 & 0.2799 \tabularnewline
26 & 0.117242 & 0.8038 & 0.212788 \tabularnewline
27 & 0.215694 & 1.4787 & 0.072943 \tabularnewline
28 & 0.163212 & 1.1189 & 0.134429 \tabularnewline
29 & 0.077693 & 0.5326 & 0.298398 \tabularnewline
30 & 0.056495 & 0.3873 & 0.350137 \tabularnewline
31 & 0.169475 & 1.1619 & 0.12558 \tabularnewline
32 & 0.10107 & 0.6929 & 0.245891 \tabularnewline
33 & -0.007045 & -0.0483 & 0.519157 \tabularnewline
34 & 0.155394 & 1.0653 & 0.146086 \tabularnewline
35 & 0.01193 & 0.0818 & 0.467582 \tabularnewline
36 & -0.072123 & -0.4944 & 0.688354 \tabularnewline
37 & -0.007524 & -0.0516 & 0.520459 \tabularnewline
38 & -0.181876 & -1.2469 & 0.89069 \tabularnewline
39 & -0.141033 & -0.9669 & 0.830722 \tabularnewline
40 & -0.141469 & -0.9699 & 0.83146 \tabularnewline
41 & -0.073302 & -0.5025 & 0.69118 \tabularnewline
42 & -0.043094 & -0.2954 & 0.61552 \tabularnewline
43 & -0.106558 & -0.7305 & 0.765653 \tabularnewline
44 & -0.135895 & -0.9316 & 0.82186 \tabularnewline
45 & -0.093219 & -0.6391 & 0.737062 \tabularnewline
46 & -0.135107 & -0.9262 & 0.820474 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \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=3047&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]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.196879[/C][C]1.3497[/C][C]0.091783[/C][/ROW]
[ROW][C]2[/C][C]0.106068[/C][C]0.7272[/C][C]0.235365[/C][/ROW]
[ROW][C]3[/C][C]0.372267[/C][C]2.5521[/C][C]0.007008[/C][/ROW]
[ROW][C]4[/C][C]0.001354[/C][C]0.0093[/C][C]0.496317[/C][/ROW]
[ROW][C]5[/C][C]0.02776[/C][C]0.1903[/C][C]0.424943[/C][/ROW]
[ROW][C]6[/C][C]0.23682[/C][C]1.6236[/C][C]0.055579[/C][/ROW]
[ROW][C]7[/C][C]0.068702[/C][C]0.471[/C][C]0.31991[/C][/ROW]
[ROW][C]8[/C][C]-0.010259[/C][C]-0.0703[/C][C]0.527885[/C][/ROW]
[ROW][C]9[/C][C]-0.152169[/C][C]-1.0432[/C][C]0.848908[/C][/ROW]
[ROW][C]10[/C][C]-0.062229[/C][C]-0.4266[/C][C]0.664199[/C][/ROW]
[ROW][C]11[/C][C]-0.184637[/C][C]-1.2658[/C][C]0.89409[/C][/ROW]
[ROW][C]12[/C][C]-0.284643[/C][C]-1.9514[/C][C]0.971509[/C][/ROW]
[ROW][C]13[/C][C]-0.160802[/C][C]-1.1024[/C][C]0.86205[/C][/ROW]
[ROW][C]14[/C][C]-0.236776[/C][C]-1.6233[/C][C]0.944388[/C][/ROW]
[ROW][C]15[/C][C]-0.173836[/C][C]-1.1918[/C][C]0.880331[/C][/ROW]
[ROW][C]16[/C][C]-0.148826[/C][C]-1.0203[/C][C]0.843595[/C][/ROW]
[ROW][C]17[/C][C]-0.130325[/C][C]-0.8935[/C][C]0.811919[/C][/ROW]
[ROW][C]18[/C][C]0.017405[/C][C]0.1193[/C][C]0.452765[/C][/ROW]
[ROW][C]19[/C][C]-0.149654[/C][C]-1.026[/C][C]0.844922[/C][/ROW]
[ROW][C]20[/C][C]-0.106948[/C][C]-0.7332[/C][C]0.76646[/C][/ROW]
[ROW][C]21[/C][C]0.098036[/C][C]0.6721[/C][C]0.252405[/C][/ROW]
[ROW][C]22[/C][C]-0.106499[/C][C]-0.7301[/C][C]0.76553[/C][/ROW]
[ROW][C]23[/C][C]-8.2e-05[/C][C]-6e-04[/C][C]0.500223[/C][/ROW]
[ROW][C]24[/C][C]0.266765[/C][C]1.8288[/C][C]0.036886[/C][/ROW]
[ROW][C]25[/C][C]0.085669[/C][C]0.5873[/C][C]0.2799[/C][/ROW]
[ROW][C]26[/C][C]0.117242[/C][C]0.8038[/C][C]0.212788[/C][/ROW]
[ROW][C]27[/C][C]0.215694[/C][C]1.4787[/C][C]0.072943[/C][/ROW]
[ROW][C]28[/C][C]0.163212[/C][C]1.1189[/C][C]0.134429[/C][/ROW]
[ROW][C]29[/C][C]0.077693[/C][C]0.5326[/C][C]0.298398[/C][/ROW]
[ROW][C]30[/C][C]0.056495[/C][C]0.3873[/C][C]0.350137[/C][/ROW]
[ROW][C]31[/C][C]0.169475[/C][C]1.1619[/C][C]0.12558[/C][/ROW]
[ROW][C]32[/C][C]0.10107[/C][C]0.6929[/C][C]0.245891[/C][/ROW]
[ROW][C]33[/C][C]-0.007045[/C][C]-0.0483[/C][C]0.519157[/C][/ROW]
[ROW][C]34[/C][C]0.155394[/C][C]1.0653[/C][C]0.146086[/C][/ROW]
[ROW][C]35[/C][C]0.01193[/C][C]0.0818[/C][C]0.467582[/C][/ROW]
[ROW][C]36[/C][C]-0.072123[/C][C]-0.4944[/C][C]0.688354[/C][/ROW]
[ROW][C]37[/C][C]-0.007524[/C][C]-0.0516[/C][C]0.520459[/C][/ROW]
[ROW][C]38[/C][C]-0.181876[/C][C]-1.2469[/C][C]0.89069[/C][/ROW]
[ROW][C]39[/C][C]-0.141033[/C][C]-0.9669[/C][C]0.830722[/C][/ROW]
[ROW][C]40[/C][C]-0.141469[/C][C]-0.9699[/C][C]0.83146[/C][/ROW]
[ROW][C]41[/C][C]-0.073302[/C][C]-0.5025[/C][C]0.69118[/C][/ROW]
[ROW][C]42[/C][C]-0.043094[/C][C]-0.2954[/C][C]0.61552[/C][/ROW]
[ROW][C]43[/C][C]-0.106558[/C][C]-0.7305[/C][C]0.765653[/C][/ROW]
[ROW][C]44[/C][C]-0.135895[/C][C]-0.9316[/C][C]0.82186[/C][/ROW]
[ROW][C]45[/C][C]-0.093219[/C][C]-0.6391[/C][C]0.737062[/C][/ROW]
[ROW][C]46[/C][C]-0.135107[/C][C]-0.9262[/C][C]0.820474[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/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=3047&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3047&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
016.85570
10.1968791.34970.091783
20.1060680.72720.235365
30.3722672.55210.007008
40.0013540.00930.496317
50.027760.19030.424943
60.236821.62360.055579
70.0687020.4710.31991
8-0.010259-0.07030.527885
9-0.152169-1.04320.848908
10-0.062229-0.42660.664199
11-0.184637-1.26580.89409
12-0.284643-1.95140.971509
13-0.160802-1.10240.86205
14-0.236776-1.62330.944388
15-0.173836-1.19180.880331
16-0.148826-1.02030.843595
17-0.130325-0.89350.811919
180.0174050.11930.452765
19-0.149654-1.0260.844922
20-0.106948-0.73320.76646
210.0980360.67210.252405
22-0.106499-0.73010.76553
23-8.2e-05-6e-040.500223
240.2667651.82880.036886
250.0856690.58730.2799
260.1172420.80380.212788
270.2156941.47870.072943
280.1632121.11890.134429
290.0776930.53260.298398
300.0564950.38730.350137
310.1694751.16190.12558
320.101070.69290.245891
33-0.007045-0.04830.519157
340.1553941.06530.146086
350.011930.08180.467582
36-0.072123-0.49440.688354
37-0.007524-0.05160.520459
38-0.181876-1.24690.89069
39-0.141033-0.96690.830722
40-0.141469-0.96990.83146
41-0.073302-0.50250.69118
42-0.043094-0.29540.61552
43-0.106558-0.73050.765653
44-0.135895-0.93160.82186
45-0.093219-0.63910.737062
46-0.135107-0.92620.820474
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1968791.34970.091783
10.0700210.480.316713
20.3544712.43010.009483
3-0.152925-1.04840.850092
40.018630.12770.449456
50.1260140.86390.196013
60.0643910.44140.330459
7-0.073822-0.50610.692424
8-0.331004-2.26920.986058
90.0257970.17690.430192
10-0.155514-1.06620.854099
11-0.144728-0.99220.836911
12-0.182008-1.24780.890854
13-0.114849-0.78740.782489
140.1455730.9980.161696
15-0.080904-0.55470.709119
160.0741020.5080.306909
170.1347350.92370.180181
18-0.022524-0.15440.561029
19-0.038444-0.26360.603364
200.0018460.01270.494978
21-0.078608-0.53890.703753
22-0.082742-0.56720.713378
230.129850.89020.188944
240.0111430.07640.469716
250.0629750.43170.333954
260.0334520.22930.409801
270.128130.87840.192094
280.0253310.17370.43144
29-0.133363-0.91430.817384
300.0219870.15070.440415
310.0293690.20130.420649
32-0.046034-0.31560.623147
33-0.015073-0.10330.540932
34-0.031045-0.21280.583812
350.0911040.62460.267635
360.0242580.16630.434316
37-0.169484-1.16190.874433
38-0.049441-0.33890.631921
39-0.004216-0.02890.511467
400.1821021.24840.109029
41-0.113142-0.77570.779083
420.0440750.30220.381932
43-0.072714-0.49850.689773
440.0491650.33710.368788
450.0146480.10040.460219
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
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 & 0.196879 & 1.3497 & 0.091783 \tabularnewline
1 & 0.070021 & 0.48 & 0.316713 \tabularnewline
2 & 0.354471 & 2.4301 & 0.009483 \tabularnewline
3 & -0.152925 & -1.0484 & 0.850092 \tabularnewline
4 & 0.01863 & 0.1277 & 0.449456 \tabularnewline
5 & 0.126014 & 0.8639 & 0.196013 \tabularnewline
6 & 0.064391 & 0.4414 & 0.330459 \tabularnewline
7 & -0.073822 & -0.5061 & 0.692424 \tabularnewline
8 & -0.331004 & -2.2692 & 0.986058 \tabularnewline
9 & 0.025797 & 0.1769 & 0.430192 \tabularnewline
10 & -0.155514 & -1.0662 & 0.854099 \tabularnewline
11 & -0.144728 & -0.9922 & 0.836911 \tabularnewline
12 & -0.182008 & -1.2478 & 0.890854 \tabularnewline
13 & -0.114849 & -0.7874 & 0.782489 \tabularnewline
14 & 0.145573 & 0.998 & 0.161696 \tabularnewline
15 & -0.080904 & -0.5547 & 0.709119 \tabularnewline
16 & 0.074102 & 0.508 & 0.306909 \tabularnewline
17 & 0.134735 & 0.9237 & 0.180181 \tabularnewline
18 & -0.022524 & -0.1544 & 0.561029 \tabularnewline
19 & -0.038444 & -0.2636 & 0.603364 \tabularnewline
20 & 0.001846 & 0.0127 & 0.494978 \tabularnewline
21 & -0.078608 & -0.5389 & 0.703753 \tabularnewline
22 & -0.082742 & -0.5672 & 0.713378 \tabularnewline
23 & 0.12985 & 0.8902 & 0.188944 \tabularnewline
24 & 0.011143 & 0.0764 & 0.469716 \tabularnewline
25 & 0.062975 & 0.4317 & 0.333954 \tabularnewline
26 & 0.033452 & 0.2293 & 0.409801 \tabularnewline
27 & 0.12813 & 0.8784 & 0.192094 \tabularnewline
28 & 0.025331 & 0.1737 & 0.43144 \tabularnewline
29 & -0.133363 & -0.9143 & 0.817384 \tabularnewline
30 & 0.021987 & 0.1507 & 0.440415 \tabularnewline
31 & 0.029369 & 0.2013 & 0.420649 \tabularnewline
32 & -0.046034 & -0.3156 & 0.623147 \tabularnewline
33 & -0.015073 & -0.1033 & 0.540932 \tabularnewline
34 & -0.031045 & -0.2128 & 0.583812 \tabularnewline
35 & 0.091104 & 0.6246 & 0.267635 \tabularnewline
36 & 0.024258 & 0.1663 & 0.434316 \tabularnewline
37 & -0.169484 & -1.1619 & 0.874433 \tabularnewline
38 & -0.049441 & -0.3389 & 0.631921 \tabularnewline
39 & -0.004216 & -0.0289 & 0.511467 \tabularnewline
40 & 0.182102 & 1.2484 & 0.109029 \tabularnewline
41 & -0.113142 & -0.7757 & 0.779083 \tabularnewline
42 & 0.044075 & 0.3022 & 0.381932 \tabularnewline
43 & -0.072714 & -0.4985 & 0.689773 \tabularnewline
44 & 0.049165 & 0.3371 & 0.368788 \tabularnewline
45 & 0.014648 & 0.1004 & 0.460219 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \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=3047&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]0.196879[/C][C]1.3497[/C][C]0.091783[/C][/ROW]
[ROW][C]1[/C][C]0.070021[/C][C]0.48[/C][C]0.316713[/C][/ROW]
[ROW][C]2[/C][C]0.354471[/C][C]2.4301[/C][C]0.009483[/C][/ROW]
[ROW][C]3[/C][C]-0.152925[/C][C]-1.0484[/C][C]0.850092[/C][/ROW]
[ROW][C]4[/C][C]0.01863[/C][C]0.1277[/C][C]0.449456[/C][/ROW]
[ROW][C]5[/C][C]0.126014[/C][C]0.8639[/C][C]0.196013[/C][/ROW]
[ROW][C]6[/C][C]0.064391[/C][C]0.4414[/C][C]0.330459[/C][/ROW]
[ROW][C]7[/C][C]-0.073822[/C][C]-0.5061[/C][C]0.692424[/C][/ROW]
[ROW][C]8[/C][C]-0.331004[/C][C]-2.2692[/C][C]0.986058[/C][/ROW]
[ROW][C]9[/C][C]0.025797[/C][C]0.1769[/C][C]0.430192[/C][/ROW]
[ROW][C]10[/C][C]-0.155514[/C][C]-1.0662[/C][C]0.854099[/C][/ROW]
[ROW][C]11[/C][C]-0.144728[/C][C]-0.9922[/C][C]0.836911[/C][/ROW]
[ROW][C]12[/C][C]-0.182008[/C][C]-1.2478[/C][C]0.890854[/C][/ROW]
[ROW][C]13[/C][C]-0.114849[/C][C]-0.7874[/C][C]0.782489[/C][/ROW]
[ROW][C]14[/C][C]0.145573[/C][C]0.998[/C][C]0.161696[/C][/ROW]
[ROW][C]15[/C][C]-0.080904[/C][C]-0.5547[/C][C]0.709119[/C][/ROW]
[ROW][C]16[/C][C]0.074102[/C][C]0.508[/C][C]0.306909[/C][/ROW]
[ROW][C]17[/C][C]0.134735[/C][C]0.9237[/C][C]0.180181[/C][/ROW]
[ROW][C]18[/C][C]-0.022524[/C][C]-0.1544[/C][C]0.561029[/C][/ROW]
[ROW][C]19[/C][C]-0.038444[/C][C]-0.2636[/C][C]0.603364[/C][/ROW]
[ROW][C]20[/C][C]0.001846[/C][C]0.0127[/C][C]0.494978[/C][/ROW]
[ROW][C]21[/C][C]-0.078608[/C][C]-0.5389[/C][C]0.703753[/C][/ROW]
[ROW][C]22[/C][C]-0.082742[/C][C]-0.5672[/C][C]0.713378[/C][/ROW]
[ROW][C]23[/C][C]0.12985[/C][C]0.8902[/C][C]0.188944[/C][/ROW]
[ROW][C]24[/C][C]0.011143[/C][C]0.0764[/C][C]0.469716[/C][/ROW]
[ROW][C]25[/C][C]0.062975[/C][C]0.4317[/C][C]0.333954[/C][/ROW]
[ROW][C]26[/C][C]0.033452[/C][C]0.2293[/C][C]0.409801[/C][/ROW]
[ROW][C]27[/C][C]0.12813[/C][C]0.8784[/C][C]0.192094[/C][/ROW]
[ROW][C]28[/C][C]0.025331[/C][C]0.1737[/C][C]0.43144[/C][/ROW]
[ROW][C]29[/C][C]-0.133363[/C][C]-0.9143[/C][C]0.817384[/C][/ROW]
[ROW][C]30[/C][C]0.021987[/C][C]0.1507[/C][C]0.440415[/C][/ROW]
[ROW][C]31[/C][C]0.029369[/C][C]0.2013[/C][C]0.420649[/C][/ROW]
[ROW][C]32[/C][C]-0.046034[/C][C]-0.3156[/C][C]0.623147[/C][/ROW]
[ROW][C]33[/C][C]-0.015073[/C][C]-0.1033[/C][C]0.540932[/C][/ROW]
[ROW][C]34[/C][C]-0.031045[/C][C]-0.2128[/C][C]0.583812[/C][/ROW]
[ROW][C]35[/C][C]0.091104[/C][C]0.6246[/C][C]0.267635[/C][/ROW]
[ROW][C]36[/C][C]0.024258[/C][C]0.1663[/C][C]0.434316[/C][/ROW]
[ROW][C]37[/C][C]-0.169484[/C][C]-1.1619[/C][C]0.874433[/C][/ROW]
[ROW][C]38[/C][C]-0.049441[/C][C]-0.3389[/C][C]0.631921[/C][/ROW]
[ROW][C]39[/C][C]-0.004216[/C][C]-0.0289[/C][C]0.511467[/C][/ROW]
[ROW][C]40[/C][C]0.182102[/C][C]1.2484[/C][C]0.109029[/C][/ROW]
[ROW][C]41[/C][C]-0.113142[/C][C]-0.7757[/C][C]0.779083[/C][/ROW]
[ROW][C]42[/C][C]0.044075[/C][C]0.3022[/C][C]0.381932[/C][/ROW]
[ROW][C]43[/C][C]-0.072714[/C][C]-0.4985[/C][C]0.689773[/C][/ROW]
[ROW][C]44[/C][C]0.049165[/C][C]0.3371[/C][C]0.368788[/C][/ROW]
[ROW][C]45[/C][C]0.014648[/C][C]0.1004[/C][C]0.460219[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/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=3047&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3047&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
00.1968791.34970.091783
10.0700210.480.316713
20.3544712.43010.009483
3-0.152925-1.04840.850092
40.018630.12770.449456
50.1260140.86390.196013
60.0643910.44140.330459
7-0.073822-0.50610.692424
8-0.331004-2.26920.986058
90.0257970.17690.430192
10-0.155514-1.06620.854099
11-0.144728-0.99220.836911
12-0.182008-1.24780.890854
13-0.114849-0.78740.782489
140.1455730.9980.161696
15-0.080904-0.55470.709119
160.0741020.5080.306909
170.1347350.92370.180181
18-0.022524-0.15440.561029
19-0.038444-0.26360.603364
200.0018460.01270.494978
21-0.078608-0.53890.703753
22-0.082742-0.56720.713378
230.129850.89020.188944
240.0111430.07640.469716
250.0629750.43170.333954
260.0334520.22930.409801
270.128130.87840.192094
280.0253310.17370.43144
29-0.133363-0.91430.817384
300.0219870.15070.440415
310.0293690.20130.420649
32-0.046034-0.31560.623147
33-0.015073-0.10330.540932
34-0.031045-0.21280.583812
350.0911040.62460.267635
360.0242580.16630.434316
37-0.169484-1.16190.874433
38-0.049441-0.33890.631921
39-0.004216-0.02890.511467
400.1821021.24840.109029
41-0.113142-0.77570.779083
420.0440750.30220.381932
43-0.072714-0.49850.689773
440.0491650.33710.368788
450.0146480.10040.460219
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')