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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 12:52:13 -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/t1197315514f5l5ets6a1r9iiq.htm/, Retrieved Tue, 07 May 2024 03:06:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3028, Retrieved Tue, 07 May 2024 03:06:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsLise Swinnen
Estimated Impact197
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper (acf/vrm 2)] [2007-12-10 19:52:13] [a526d213baffe7453818dd375c9a7100] [Current]
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Dataseries X:
0,007850049
0,008671912
0,008391986
0,008691954
0,008724839
0,008949762
0,009344295
0,009971514
0,010388067
0,008884599
0,01000981
0,012393539
0,007933519
0,008087396
0,008120881
0,008147148
0,00917087
0,009668358
0,009897495
0,011217878
0,010190084
0,009560637
0,011200671
0,013546776
0,008524882
0,009142143
0,008793047
0,009296235
0,009974995
0,009692013
0,010120046
0,011004981
0,010328492
0,009428406
0,011114429
0,011798579
0,008997058
0,008803914
0,007974159
0,008460945
0,009917747
0,009604284
0,011028851
0,011162991
0,010420855
0,009897095
0,010715298
0,012461041
0,008754735
0,009381664
0,008843755
0,009235122
0,009973356
0,009146341
0,011038445
0,010830104
0,010585414
0,010560523
0,010897526
0,014012667




Summary of compuational 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 compuational 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=3028&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]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=3028&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3028&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0160
10.4183292.510.008355
20.4044482.42670.010186
30.1458150.87490.193716
40.2108971.26540.106931
50.0805980.48360.315804
60.0198420.11910.452947
7-0.101998-0.6120.727803
8-0.146804-0.88080.807872
9-0.087665-0.5260.698939
10-0.301047-1.80630.96038
11-0.256605-1.53960.933803
12-0.462414-2.77450.995645
13-0.278457-1.67070.948277
14-0.224391-1.34630.906696
15-0.065163-0.3910.650942
16-0.166585-0.99950.837891
170.0187060.11220.45563
18-0.0236-0.14160.555908
190.0001338e-040.499684
200.0207910.12470.45071
21-0.039695-0.23820.593449
220.0625770.37550.35476
230.0777480.46650.321838
240.0739220.44350.330018
250.0894640.53680.29736
260.0500940.30060.382739
27-0.035813-0.21490.584464
28-0.083408-0.50040.690098
29-0.056425-0.33860.631543
30-0.026156-0.15690.561914
310.0325510.19530.423127
320.0558910.33530.369656
330.0436930.26220.397347
340.0401850.24110.405418
350.0105430.06330.474955
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6 & 0 \tabularnewline
1 & 0.418329 & 2.51 & 0.008355 \tabularnewline
2 & 0.404448 & 2.4267 & 0.010186 \tabularnewline
3 & 0.145815 & 0.8749 & 0.193716 \tabularnewline
4 & 0.210897 & 1.2654 & 0.106931 \tabularnewline
5 & 0.080598 & 0.4836 & 0.315804 \tabularnewline
6 & 0.019842 & 0.1191 & 0.452947 \tabularnewline
7 & -0.101998 & -0.612 & 0.727803 \tabularnewline
8 & -0.146804 & -0.8808 & 0.807872 \tabularnewline
9 & -0.087665 & -0.526 & 0.698939 \tabularnewline
10 & -0.301047 & -1.8063 & 0.96038 \tabularnewline
11 & -0.256605 & -1.5396 & 0.933803 \tabularnewline
12 & -0.462414 & -2.7745 & 0.995645 \tabularnewline
13 & -0.278457 & -1.6707 & 0.948277 \tabularnewline
14 & -0.224391 & -1.3463 & 0.906696 \tabularnewline
15 & -0.065163 & -0.391 & 0.650942 \tabularnewline
16 & -0.166585 & -0.9995 & 0.837891 \tabularnewline
17 & 0.018706 & 0.1122 & 0.45563 \tabularnewline
18 & -0.0236 & -0.1416 & 0.555908 \tabularnewline
19 & 0.000133 & 8e-04 & 0.499684 \tabularnewline
20 & 0.020791 & 0.1247 & 0.45071 \tabularnewline
21 & -0.039695 & -0.2382 & 0.593449 \tabularnewline
22 & 0.062577 & 0.3755 & 0.35476 \tabularnewline
23 & 0.077748 & 0.4665 & 0.321838 \tabularnewline
24 & 0.073922 & 0.4435 & 0.330018 \tabularnewline
25 & 0.089464 & 0.5368 & 0.29736 \tabularnewline
26 & 0.050094 & 0.3006 & 0.382739 \tabularnewline
27 & -0.035813 & -0.2149 & 0.584464 \tabularnewline
28 & -0.083408 & -0.5004 & 0.690098 \tabularnewline
29 & -0.056425 & -0.3386 & 0.631543 \tabularnewline
30 & -0.026156 & -0.1569 & 0.561914 \tabularnewline
31 & 0.032551 & 0.1953 & 0.423127 \tabularnewline
32 & 0.055891 & 0.3353 & 0.369656 \tabularnewline
33 & 0.043693 & 0.2622 & 0.397347 \tabularnewline
34 & 0.040185 & 0.2411 & 0.405418 \tabularnewline
35 & 0.010543 & 0.0633 & 0.474955 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3028&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[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.418329[/C][C]2.51[/C][C]0.008355[/C][/ROW]
[ROW][C]2[/C][C]0.404448[/C][C]2.4267[/C][C]0.010186[/C][/ROW]
[ROW][C]3[/C][C]0.145815[/C][C]0.8749[/C][C]0.193716[/C][/ROW]
[ROW][C]4[/C][C]0.210897[/C][C]1.2654[/C][C]0.106931[/C][/ROW]
[ROW][C]5[/C][C]0.080598[/C][C]0.4836[/C][C]0.315804[/C][/ROW]
[ROW][C]6[/C][C]0.019842[/C][C]0.1191[/C][C]0.452947[/C][/ROW]
[ROW][C]7[/C][C]-0.101998[/C][C]-0.612[/C][C]0.727803[/C][/ROW]
[ROW][C]8[/C][C]-0.146804[/C][C]-0.8808[/C][C]0.807872[/C][/ROW]
[ROW][C]9[/C][C]-0.087665[/C][C]-0.526[/C][C]0.698939[/C][/ROW]
[ROW][C]10[/C][C]-0.301047[/C][C]-1.8063[/C][C]0.96038[/C][/ROW]
[ROW][C]11[/C][C]-0.256605[/C][C]-1.5396[/C][C]0.933803[/C][/ROW]
[ROW][C]12[/C][C]-0.462414[/C][C]-2.7745[/C][C]0.995645[/C][/ROW]
[ROW][C]13[/C][C]-0.278457[/C][C]-1.6707[/C][C]0.948277[/C][/ROW]
[ROW][C]14[/C][C]-0.224391[/C][C]-1.3463[/C][C]0.906696[/C][/ROW]
[ROW][C]15[/C][C]-0.065163[/C][C]-0.391[/C][C]0.650942[/C][/ROW]
[ROW][C]16[/C][C]-0.166585[/C][C]-0.9995[/C][C]0.837891[/C][/ROW]
[ROW][C]17[/C][C]0.018706[/C][C]0.1122[/C][C]0.45563[/C][/ROW]
[ROW][C]18[/C][C]-0.0236[/C][C]-0.1416[/C][C]0.555908[/C][/ROW]
[ROW][C]19[/C][C]0.000133[/C][C]8e-04[/C][C]0.499684[/C][/ROW]
[ROW][C]20[/C][C]0.020791[/C][C]0.1247[/C][C]0.45071[/C][/ROW]
[ROW][C]21[/C][C]-0.039695[/C][C]-0.2382[/C][C]0.593449[/C][/ROW]
[ROW][C]22[/C][C]0.062577[/C][C]0.3755[/C][C]0.35476[/C][/ROW]
[ROW][C]23[/C][C]0.077748[/C][C]0.4665[/C][C]0.321838[/C][/ROW]
[ROW][C]24[/C][C]0.073922[/C][C]0.4435[/C][C]0.330018[/C][/ROW]
[ROW][C]25[/C][C]0.089464[/C][C]0.5368[/C][C]0.29736[/C][/ROW]
[ROW][C]26[/C][C]0.050094[/C][C]0.3006[/C][C]0.382739[/C][/ROW]
[ROW][C]27[/C][C]-0.035813[/C][C]-0.2149[/C][C]0.584464[/C][/ROW]
[ROW][C]28[/C][C]-0.083408[/C][C]-0.5004[/C][C]0.690098[/C][/ROW]
[ROW][C]29[/C][C]-0.056425[/C][C]-0.3386[/C][C]0.631543[/C][/ROW]
[ROW][C]30[/C][C]-0.026156[/C][C]-0.1569[/C][C]0.561914[/C][/ROW]
[ROW][C]31[/C][C]0.032551[/C][C]0.1953[/C][C]0.423127[/C][/ROW]
[ROW][C]32[/C][C]0.055891[/C][C]0.3353[/C][C]0.369656[/C][/ROW]
[ROW][C]33[/C][C]0.043693[/C][C]0.2622[/C][C]0.397347[/C][/ROW]
[ROW][C]34[/C][C]0.040185[/C][C]0.2411[/C][C]0.405418[/C][/ROW]
[ROW][C]35[/C][C]0.010543[/C][C]0.0633[/C][C]0.474955[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3028&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3028&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
0160
10.4183292.510.008355
20.4044482.42670.010186
30.1458150.87490.193716
40.2108971.26540.106931
50.0805980.48360.315804
60.0198420.11910.452947
7-0.101998-0.6120.727803
8-0.146804-0.88080.807872
9-0.087665-0.5260.698939
10-0.301047-1.80630.96038
11-0.256605-1.53960.933803
12-0.462414-2.77450.995645
13-0.278457-1.67070.948277
14-0.224391-1.34630.906696
15-0.065163-0.3910.650942
16-0.166585-0.99950.837891
170.0187060.11220.45563
18-0.0236-0.14160.555908
190.0001338e-040.499684
200.0207910.12470.45071
21-0.039695-0.23820.593449
220.0625770.37550.35476
230.0777480.46650.321838
240.0739220.44350.330018
250.0894640.53680.29736
260.0500940.30060.382739
27-0.035813-0.21490.584464
28-0.083408-0.50040.690098
29-0.056425-0.33860.631543
30-0.026156-0.15690.561914
310.0325510.19530.423127
320.0558910.33530.369656
330.0436930.26220.397347
340.0401850.24110.405418
350.0105430.06330.474955
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.4183292.510.008355
10.278121.66870.051924
2-0.121741-0.73040.765077
30.1140140.68410.24915
4-0.02271-0.13630.553812
5-0.113598-0.68160.75007
6-0.106781-0.64070.737107
7-0.090938-0.54560.705656
80.0690640.41440.340526
9-0.294388-1.76630.95709
10-0.079234-0.47540.681315
11-0.244593-1.46760.924547
12-0.01183-0.0710.528097
130.1270580.76230.225409
140.0637370.38240.352197
15-0.104494-0.6270.73268
160.1246860.74810.229625
17-0.067519-0.40510.656105
18-0.153544-0.92130.818477
19-0.013957-0.08370.533137
20-0.099109-0.59470.722103
21-0.041752-0.25050.598193
220.0037540.02250.491077
23-0.148433-0.89060.810471
240.1208880.72530.236469
25-0.088275-0.52970.700198
26-0.066445-0.39870.653754
27-0.150568-0.90340.813843
280.0211280.12680.449916
290.0844430.50670.307742
30-0.042458-0.25480.599817
310.0308760.18530.427034
320.0158910.09530.462284
33-0.105149-0.63090.733953
34-0.017764-0.10660.542146
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.418329 & 2.51 & 0.008355 \tabularnewline
1 & 0.27812 & 1.6687 & 0.051924 \tabularnewline
2 & -0.121741 & -0.7304 & 0.765077 \tabularnewline
3 & 0.114014 & 0.6841 & 0.24915 \tabularnewline
4 & -0.02271 & -0.1363 & 0.553812 \tabularnewline
5 & -0.113598 & -0.6816 & 0.75007 \tabularnewline
6 & -0.106781 & -0.6407 & 0.737107 \tabularnewline
7 & -0.090938 & -0.5456 & 0.705656 \tabularnewline
8 & 0.069064 & 0.4144 & 0.340526 \tabularnewline
9 & -0.294388 & -1.7663 & 0.95709 \tabularnewline
10 & -0.079234 & -0.4754 & 0.681315 \tabularnewline
11 & -0.244593 & -1.4676 & 0.924547 \tabularnewline
12 & -0.01183 & -0.071 & 0.528097 \tabularnewline
13 & 0.127058 & 0.7623 & 0.225409 \tabularnewline
14 & 0.063737 & 0.3824 & 0.352197 \tabularnewline
15 & -0.104494 & -0.627 & 0.73268 \tabularnewline
16 & 0.124686 & 0.7481 & 0.229625 \tabularnewline
17 & -0.067519 & -0.4051 & 0.656105 \tabularnewline
18 & -0.153544 & -0.9213 & 0.818477 \tabularnewline
19 & -0.013957 & -0.0837 & 0.533137 \tabularnewline
20 & -0.099109 & -0.5947 & 0.722103 \tabularnewline
21 & -0.041752 & -0.2505 & 0.598193 \tabularnewline
22 & 0.003754 & 0.0225 & 0.491077 \tabularnewline
23 & -0.148433 & -0.8906 & 0.810471 \tabularnewline
24 & 0.120888 & 0.7253 & 0.236469 \tabularnewline
25 & -0.088275 & -0.5297 & 0.700198 \tabularnewline
26 & -0.066445 & -0.3987 & 0.653754 \tabularnewline
27 & -0.150568 & -0.9034 & 0.813843 \tabularnewline
28 & 0.021128 & 0.1268 & 0.449916 \tabularnewline
29 & 0.084443 & 0.5067 & 0.307742 \tabularnewline
30 & -0.042458 & -0.2548 & 0.599817 \tabularnewline
31 & 0.030876 & 0.1853 & 0.427034 \tabularnewline
32 & 0.015891 & 0.0953 & 0.462284 \tabularnewline
33 & -0.105149 & -0.6309 & 0.733953 \tabularnewline
34 & -0.017764 & -0.1066 & 0.542146 \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3028&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]0.418329[/C][C]2.51[/C][C]0.008355[/C][/ROW]
[ROW][C]1[/C][C]0.27812[/C][C]1.6687[/C][C]0.051924[/C][/ROW]
[ROW][C]2[/C][C]-0.121741[/C][C]-0.7304[/C][C]0.765077[/C][/ROW]
[ROW][C]3[/C][C]0.114014[/C][C]0.6841[/C][C]0.24915[/C][/ROW]
[ROW][C]4[/C][C]-0.02271[/C][C]-0.1363[/C][C]0.553812[/C][/ROW]
[ROW][C]5[/C][C]-0.113598[/C][C]-0.6816[/C][C]0.75007[/C][/ROW]
[ROW][C]6[/C][C]-0.106781[/C][C]-0.6407[/C][C]0.737107[/C][/ROW]
[ROW][C]7[/C][C]-0.090938[/C][C]-0.5456[/C][C]0.705656[/C][/ROW]
[ROW][C]8[/C][C]0.069064[/C][C]0.4144[/C][C]0.340526[/C][/ROW]
[ROW][C]9[/C][C]-0.294388[/C][C]-1.7663[/C][C]0.95709[/C][/ROW]
[ROW][C]10[/C][C]-0.079234[/C][C]-0.4754[/C][C]0.681315[/C][/ROW]
[ROW][C]11[/C][C]-0.244593[/C][C]-1.4676[/C][C]0.924547[/C][/ROW]
[ROW][C]12[/C][C]-0.01183[/C][C]-0.071[/C][C]0.528097[/C][/ROW]
[ROW][C]13[/C][C]0.127058[/C][C]0.7623[/C][C]0.225409[/C][/ROW]
[ROW][C]14[/C][C]0.063737[/C][C]0.3824[/C][C]0.352197[/C][/ROW]
[ROW][C]15[/C][C]-0.104494[/C][C]-0.627[/C][C]0.73268[/C][/ROW]
[ROW][C]16[/C][C]0.124686[/C][C]0.7481[/C][C]0.229625[/C][/ROW]
[ROW][C]17[/C][C]-0.067519[/C][C]-0.4051[/C][C]0.656105[/C][/ROW]
[ROW][C]18[/C][C]-0.153544[/C][C]-0.9213[/C][C]0.818477[/C][/ROW]
[ROW][C]19[/C][C]-0.013957[/C][C]-0.0837[/C][C]0.533137[/C][/ROW]
[ROW][C]20[/C][C]-0.099109[/C][C]-0.5947[/C][C]0.722103[/C][/ROW]
[ROW][C]21[/C][C]-0.041752[/C][C]-0.2505[/C][C]0.598193[/C][/ROW]
[ROW][C]22[/C][C]0.003754[/C][C]0.0225[/C][C]0.491077[/C][/ROW]
[ROW][C]23[/C][C]-0.148433[/C][C]-0.8906[/C][C]0.810471[/C][/ROW]
[ROW][C]24[/C][C]0.120888[/C][C]0.7253[/C][C]0.236469[/C][/ROW]
[ROW][C]25[/C][C]-0.088275[/C][C]-0.5297[/C][C]0.700198[/C][/ROW]
[ROW][C]26[/C][C]-0.066445[/C][C]-0.3987[/C][C]0.653754[/C][/ROW]
[ROW][C]27[/C][C]-0.150568[/C][C]-0.9034[/C][C]0.813843[/C][/ROW]
[ROW][C]28[/C][C]0.021128[/C][C]0.1268[/C][C]0.449916[/C][/ROW]
[ROW][C]29[/C][C]0.084443[/C][C]0.5067[/C][C]0.307742[/C][/ROW]
[ROW][C]30[/C][C]-0.042458[/C][C]-0.2548[/C][C]0.599817[/C][/ROW]
[ROW][C]31[/C][C]0.030876[/C][C]0.1853[/C][C]0.427034[/C][/ROW]
[ROW][C]32[/C][C]0.015891[/C][C]0.0953[/C][C]0.462284[/C][/ROW]
[ROW][C]33[/C][C]-0.105149[/C][C]-0.6309[/C][C]0.733953[/C][/ROW]
[ROW][C]34[/C][C]-0.017764[/C][C]-0.1066[/C][C]0.542146[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3028&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3028&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
00.4183292.510.008355
10.278121.66870.051924
2-0.121741-0.73040.765077
30.1140140.68410.24915
4-0.02271-0.13630.553812
5-0.113598-0.68160.75007
6-0.106781-0.64070.737107
7-0.090938-0.54560.705656
80.0690640.41440.340526
9-0.294388-1.76630.95709
10-0.079234-0.47540.681315
11-0.244593-1.46760.924547
12-0.01183-0.0710.528097
130.1270580.76230.225409
140.0637370.38240.352197
15-0.104494-0.6270.73268
160.1246860.74810.229625
17-0.067519-0.40510.656105
18-0.153544-0.92130.818477
19-0.013957-0.08370.533137
20-0.099109-0.59470.722103
21-0.041752-0.25050.598193
220.0037540.02250.491077
23-0.148433-0.89060.810471
240.1208880.72530.236469
25-0.088275-0.52970.700198
26-0.066445-0.39870.653754
27-0.150568-0.90340.813843
280.0211280.12680.449916
290.0844430.50670.307742
30-0.042458-0.25480.599817
310.0308760.18530.427034
320.0158910.09530.462284
33-0.105149-0.63090.733953
34-0.017764-0.10660.542146
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; 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')