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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 06 Dec 2007 06:42:38 -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/06/t1196947778n09ladc4p8dgx7p.htm/, Retrieved Fri, 03 May 2024 09:24:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2602, Retrieved Fri, 03 May 2024 09:24:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [wo 5 - q1] [2007-12-06 13:42:38] [ce4b259486d1abcc1b8c2643f3bb6ec3] [Current]
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Dataseries X:
-9000
-8000
5000
0
1000
1000
-10000
1000
0
-11000
6000
4000
11000
1000
-7000
-11000
-1000
1000
0
1000
-4000
1000
-9000
-3000
-14000
0
1000
0
-1000
-5000
5000
5000
-2000
-5000
-2000
-5000
-16000
-5000
-11000
8000
-9000
-7000
0
-14000
-12000
9000
4000
-17000




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=2602&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=2602&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2602&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
015.91610
1-0.286539-1.69520.95054
2-0.070539-0.41730.660501
3-0.177233-1.04850.849207
4-0.046408-0.27460.607363
50.1753421.03730.153347
6-0.086092-0.50930.69314
70.0094750.05610.477809
8-0.083666-0.4950.688145
90.2287691.35340.0923
10-0.060178-0.3560.638017
110.0410140.24260.40485
12-0.197231-1.16680.874417
13-0.023133-0.13690.554035
140.1711831.01270.159069
15-0.03944-0.23330.591568
160.0660390.39070.349196
17-0.31132-1.84180.963004
180.1908141.12890.133315
190.0874580.51740.304063
20-0.01124-0.06650.526319
21-0.008729-0.05160.520446
22-0.132286-0.78260.780442
230.0120180.07110.471863
240.1048060.620.269624
25-0.05649-0.33420.629888
26-0.061928-0.36640.641853
270.0543730.32170.374807
280.035810.21190.416724
290.0626480.37060.356574
30-0.0255-0.15090.559525
31-0.143193-0.84710.798664
32-0.025895-0.15320.560438
330.0757930.44840.328315
340.0314990.18630.426623
35NANANA
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 & 5.9161 & 0 \tabularnewline
1 & -0.286539 & -1.6952 & 0.95054 \tabularnewline
2 & -0.070539 & -0.4173 & 0.660501 \tabularnewline
3 & -0.177233 & -1.0485 & 0.849207 \tabularnewline
4 & -0.046408 & -0.2746 & 0.607363 \tabularnewline
5 & 0.175342 & 1.0373 & 0.153347 \tabularnewline
6 & -0.086092 & -0.5093 & 0.69314 \tabularnewline
7 & 0.009475 & 0.0561 & 0.477809 \tabularnewline
8 & -0.083666 & -0.495 & 0.688145 \tabularnewline
9 & 0.228769 & 1.3534 & 0.0923 \tabularnewline
10 & -0.060178 & -0.356 & 0.638017 \tabularnewline
11 & 0.041014 & 0.2426 & 0.40485 \tabularnewline
12 & -0.197231 & -1.1668 & 0.874417 \tabularnewline
13 & -0.023133 & -0.1369 & 0.554035 \tabularnewline
14 & 0.171183 & 1.0127 & 0.159069 \tabularnewline
15 & -0.03944 & -0.2333 & 0.591568 \tabularnewline
16 & 0.066039 & 0.3907 & 0.349196 \tabularnewline
17 & -0.31132 & -1.8418 & 0.963004 \tabularnewline
18 & 0.190814 & 1.1289 & 0.133315 \tabularnewline
19 & 0.087458 & 0.5174 & 0.304063 \tabularnewline
20 & -0.01124 & -0.0665 & 0.526319 \tabularnewline
21 & -0.008729 & -0.0516 & 0.520446 \tabularnewline
22 & -0.132286 & -0.7826 & 0.780442 \tabularnewline
23 & 0.012018 & 0.0711 & 0.471863 \tabularnewline
24 & 0.104806 & 0.62 & 0.269624 \tabularnewline
25 & -0.05649 & -0.3342 & 0.629888 \tabularnewline
26 & -0.061928 & -0.3664 & 0.641853 \tabularnewline
27 & 0.054373 & 0.3217 & 0.374807 \tabularnewline
28 & 0.03581 & 0.2119 & 0.416724 \tabularnewline
29 & 0.062648 & 0.3706 & 0.356574 \tabularnewline
30 & -0.0255 & -0.1509 & 0.559525 \tabularnewline
31 & -0.143193 & -0.8471 & 0.798664 \tabularnewline
32 & -0.025895 & -0.1532 & 0.560438 \tabularnewline
33 & 0.075793 & 0.4484 & 0.328315 \tabularnewline
34 & 0.031499 & 0.1863 & 0.426623 \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=2602&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]5.9161[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.286539[/C][C]-1.6952[/C][C]0.95054[/C][/ROW]
[ROW][C]2[/C][C]-0.070539[/C][C]-0.4173[/C][C]0.660501[/C][/ROW]
[ROW][C]3[/C][C]-0.177233[/C][C]-1.0485[/C][C]0.849207[/C][/ROW]
[ROW][C]4[/C][C]-0.046408[/C][C]-0.2746[/C][C]0.607363[/C][/ROW]
[ROW][C]5[/C][C]0.175342[/C][C]1.0373[/C][C]0.153347[/C][/ROW]
[ROW][C]6[/C][C]-0.086092[/C][C]-0.5093[/C][C]0.69314[/C][/ROW]
[ROW][C]7[/C][C]0.009475[/C][C]0.0561[/C][C]0.477809[/C][/ROW]
[ROW][C]8[/C][C]-0.083666[/C][C]-0.495[/C][C]0.688145[/C][/ROW]
[ROW][C]9[/C][C]0.228769[/C][C]1.3534[/C][C]0.0923[/C][/ROW]
[ROW][C]10[/C][C]-0.060178[/C][C]-0.356[/C][C]0.638017[/C][/ROW]
[ROW][C]11[/C][C]0.041014[/C][C]0.2426[/C][C]0.40485[/C][/ROW]
[ROW][C]12[/C][C]-0.197231[/C][C]-1.1668[/C][C]0.874417[/C][/ROW]
[ROW][C]13[/C][C]-0.023133[/C][C]-0.1369[/C][C]0.554035[/C][/ROW]
[ROW][C]14[/C][C]0.171183[/C][C]1.0127[/C][C]0.159069[/C][/ROW]
[ROW][C]15[/C][C]-0.03944[/C][C]-0.2333[/C][C]0.591568[/C][/ROW]
[ROW][C]16[/C][C]0.066039[/C][C]0.3907[/C][C]0.349196[/C][/ROW]
[ROW][C]17[/C][C]-0.31132[/C][C]-1.8418[/C][C]0.963004[/C][/ROW]
[ROW][C]18[/C][C]0.190814[/C][C]1.1289[/C][C]0.133315[/C][/ROW]
[ROW][C]19[/C][C]0.087458[/C][C]0.5174[/C][C]0.304063[/C][/ROW]
[ROW][C]20[/C][C]-0.01124[/C][C]-0.0665[/C][C]0.526319[/C][/ROW]
[ROW][C]21[/C][C]-0.008729[/C][C]-0.0516[/C][C]0.520446[/C][/ROW]
[ROW][C]22[/C][C]-0.132286[/C][C]-0.7826[/C][C]0.780442[/C][/ROW]
[ROW][C]23[/C][C]0.012018[/C][C]0.0711[/C][C]0.471863[/C][/ROW]
[ROW][C]24[/C][C]0.104806[/C][C]0.62[/C][C]0.269624[/C][/ROW]
[ROW][C]25[/C][C]-0.05649[/C][C]-0.3342[/C][C]0.629888[/C][/ROW]
[ROW][C]26[/C][C]-0.061928[/C][C]-0.3664[/C][C]0.641853[/C][/ROW]
[ROW][C]27[/C][C]0.054373[/C][C]0.3217[/C][C]0.374807[/C][/ROW]
[ROW][C]28[/C][C]0.03581[/C][C]0.2119[/C][C]0.416724[/C][/ROW]
[ROW][C]29[/C][C]0.062648[/C][C]0.3706[/C][C]0.356574[/C][/ROW]
[ROW][C]30[/C][C]-0.0255[/C][C]-0.1509[/C][C]0.559525[/C][/ROW]
[ROW][C]31[/C][C]-0.143193[/C][C]-0.8471[/C][C]0.798664[/C][/ROW]
[ROW][C]32[/C][C]-0.025895[/C][C]-0.1532[/C][C]0.560438[/C][/ROW]
[ROW][C]33[/C][C]0.075793[/C][C]0.4484[/C][C]0.328315[/C][/ROW]
[ROW][C]34[/C][C]0.031499[/C][C]0.1863[/C][C]0.426623[/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=2602&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2602&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
015.91610
1-0.286539-1.69520.95054
2-0.070539-0.41730.660501
3-0.177233-1.04850.849207
4-0.046408-0.27460.607363
50.1753421.03730.153347
6-0.086092-0.50930.69314
70.0094750.05610.477809
8-0.083666-0.4950.688145
90.2287691.35340.0923
10-0.060178-0.3560.638017
110.0410140.24260.40485
12-0.197231-1.16680.874417
13-0.023133-0.13690.554035
140.1711831.01270.159069
15-0.03944-0.23330.591568
160.0660390.39070.349196
17-0.31132-1.84180.963004
180.1908141.12890.133315
190.0874580.51740.304063
20-0.01124-0.06650.526319
21-0.008729-0.05160.520446
22-0.132286-0.78260.780442
230.0120180.07110.471863
240.1048060.620.269624
25-0.05649-0.33420.629888
26-0.061928-0.36640.641853
270.0543730.32170.374807
280.035810.21190.416724
290.0626480.37060.356574
30-0.0255-0.15090.559525
31-0.143193-0.84710.798664
32-0.025895-0.15320.560438
330.0757930.44840.328315
340.0314990.18630.426623
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.286539-1.69520.95054
1-0.166297-0.98380.834023
2-0.278379-1.64690.945736
3-0.257365-1.52260.931577
4-0.004839-0.02860.511337
5-0.141106-0.83480.795252
6-0.113074-0.6690.746044
7-0.149929-0.8870.809432
80.1561550.92380.180951
90.0235030.1390.445106
100.1202310.71130.240808
11-0.080654-0.47720.681891
12-0.066847-0.39550.652552
130.0645690.3820.352388
14-0.002187-0.01290.505126
150.0329420.19490.423303
16-0.274399-1.62340.943258
17-0.050001-0.29580.615439
180.0398870.2360.407414
19-0.058046-0.34340.633325
200.0349180.20660.41877
21-0.002153-0.01270.505044
22-0.12231-0.72360.762938
230.0508120.30060.382745
24-0.111323-0.65860.742768
25-0.032061-0.18970.57467
26-0.024927-0.14750.558197
270.0110520.06540.47412
28-0.027415-0.16220.563955
290.0106370.06290.475091
30-0.017404-0.1030.540709
31-0.120564-0.71330.759794
32-0.042464-0.25120.598444
33-0.101834-0.60250.724624
34NANANA
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 & -0.286539 & -1.6952 & 0.95054 \tabularnewline
1 & -0.166297 & -0.9838 & 0.834023 \tabularnewline
2 & -0.278379 & -1.6469 & 0.945736 \tabularnewline
3 & -0.257365 & -1.5226 & 0.931577 \tabularnewline
4 & -0.004839 & -0.0286 & 0.511337 \tabularnewline
5 & -0.141106 & -0.8348 & 0.795252 \tabularnewline
6 & -0.113074 & -0.669 & 0.746044 \tabularnewline
7 & -0.149929 & -0.887 & 0.809432 \tabularnewline
8 & 0.156155 & 0.9238 & 0.180951 \tabularnewline
9 & 0.023503 & 0.139 & 0.445106 \tabularnewline
10 & 0.120231 & 0.7113 & 0.240808 \tabularnewline
11 & -0.080654 & -0.4772 & 0.681891 \tabularnewline
12 & -0.066847 & -0.3955 & 0.652552 \tabularnewline
13 & 0.064569 & 0.382 & 0.352388 \tabularnewline
14 & -0.002187 & -0.0129 & 0.505126 \tabularnewline
15 & 0.032942 & 0.1949 & 0.423303 \tabularnewline
16 & -0.274399 & -1.6234 & 0.943258 \tabularnewline
17 & -0.050001 & -0.2958 & 0.615439 \tabularnewline
18 & 0.039887 & 0.236 & 0.407414 \tabularnewline
19 & -0.058046 & -0.3434 & 0.633325 \tabularnewline
20 & 0.034918 & 0.2066 & 0.41877 \tabularnewline
21 & -0.002153 & -0.0127 & 0.505044 \tabularnewline
22 & -0.12231 & -0.7236 & 0.762938 \tabularnewline
23 & 0.050812 & 0.3006 & 0.382745 \tabularnewline
24 & -0.111323 & -0.6586 & 0.742768 \tabularnewline
25 & -0.032061 & -0.1897 & 0.57467 \tabularnewline
26 & -0.024927 & -0.1475 & 0.558197 \tabularnewline
27 & 0.011052 & 0.0654 & 0.47412 \tabularnewline
28 & -0.027415 & -0.1622 & 0.563955 \tabularnewline
29 & 0.010637 & 0.0629 & 0.475091 \tabularnewline
30 & -0.017404 & -0.103 & 0.540709 \tabularnewline
31 & -0.120564 & -0.7133 & 0.759794 \tabularnewline
32 & -0.042464 & -0.2512 & 0.598444 \tabularnewline
33 & -0.101834 & -0.6025 & 0.724624 \tabularnewline
34 & NA & NA & NA \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=2602&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]-0.286539[/C][C]-1.6952[/C][C]0.95054[/C][/ROW]
[ROW][C]1[/C][C]-0.166297[/C][C]-0.9838[/C][C]0.834023[/C][/ROW]
[ROW][C]2[/C][C]-0.278379[/C][C]-1.6469[/C][C]0.945736[/C][/ROW]
[ROW][C]3[/C][C]-0.257365[/C][C]-1.5226[/C][C]0.931577[/C][/ROW]
[ROW][C]4[/C][C]-0.004839[/C][C]-0.0286[/C][C]0.511337[/C][/ROW]
[ROW][C]5[/C][C]-0.141106[/C][C]-0.8348[/C][C]0.795252[/C][/ROW]
[ROW][C]6[/C][C]-0.113074[/C][C]-0.669[/C][C]0.746044[/C][/ROW]
[ROW][C]7[/C][C]-0.149929[/C][C]-0.887[/C][C]0.809432[/C][/ROW]
[ROW][C]8[/C][C]0.156155[/C][C]0.9238[/C][C]0.180951[/C][/ROW]
[ROW][C]9[/C][C]0.023503[/C][C]0.139[/C][C]0.445106[/C][/ROW]
[ROW][C]10[/C][C]0.120231[/C][C]0.7113[/C][C]0.240808[/C][/ROW]
[ROW][C]11[/C][C]-0.080654[/C][C]-0.4772[/C][C]0.681891[/C][/ROW]
[ROW][C]12[/C][C]-0.066847[/C][C]-0.3955[/C][C]0.652552[/C][/ROW]
[ROW][C]13[/C][C]0.064569[/C][C]0.382[/C][C]0.352388[/C][/ROW]
[ROW][C]14[/C][C]-0.002187[/C][C]-0.0129[/C][C]0.505126[/C][/ROW]
[ROW][C]15[/C][C]0.032942[/C][C]0.1949[/C][C]0.423303[/C][/ROW]
[ROW][C]16[/C][C]-0.274399[/C][C]-1.6234[/C][C]0.943258[/C][/ROW]
[ROW][C]17[/C][C]-0.050001[/C][C]-0.2958[/C][C]0.615439[/C][/ROW]
[ROW][C]18[/C][C]0.039887[/C][C]0.236[/C][C]0.407414[/C][/ROW]
[ROW][C]19[/C][C]-0.058046[/C][C]-0.3434[/C][C]0.633325[/C][/ROW]
[ROW][C]20[/C][C]0.034918[/C][C]0.2066[/C][C]0.41877[/C][/ROW]
[ROW][C]21[/C][C]-0.002153[/C][C]-0.0127[/C][C]0.505044[/C][/ROW]
[ROW][C]22[/C][C]-0.12231[/C][C]-0.7236[/C][C]0.762938[/C][/ROW]
[ROW][C]23[/C][C]0.050812[/C][C]0.3006[/C][C]0.382745[/C][/ROW]
[ROW][C]24[/C][C]-0.111323[/C][C]-0.6586[/C][C]0.742768[/C][/ROW]
[ROW][C]25[/C][C]-0.032061[/C][C]-0.1897[/C][C]0.57467[/C][/ROW]
[ROW][C]26[/C][C]-0.024927[/C][C]-0.1475[/C][C]0.558197[/C][/ROW]
[ROW][C]27[/C][C]0.011052[/C][C]0.0654[/C][C]0.47412[/C][/ROW]
[ROW][C]28[/C][C]-0.027415[/C][C]-0.1622[/C][C]0.563955[/C][/ROW]
[ROW][C]29[/C][C]0.010637[/C][C]0.0629[/C][C]0.475091[/C][/ROW]
[ROW][C]30[/C][C]-0.017404[/C][C]-0.103[/C][C]0.540709[/C][/ROW]
[ROW][C]31[/C][C]-0.120564[/C][C]-0.7133[/C][C]0.759794[/C][/ROW]
[ROW][C]32[/C][C]-0.042464[/C][C]-0.2512[/C][C]0.598444[/C][/ROW]
[ROW][C]33[/C][C]-0.101834[/C][C]-0.6025[/C][C]0.724624[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/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=2602&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2602&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
0-0.286539-1.69520.95054
1-0.166297-0.98380.834023
2-0.278379-1.64690.945736
3-0.257365-1.52260.931577
4-0.004839-0.02860.511337
5-0.141106-0.83480.795252
6-0.113074-0.6690.746044
7-0.149929-0.8870.809432
80.1561550.92380.180951
90.0235030.1390.445106
100.1202310.71130.240808
11-0.080654-0.47720.681891
12-0.066847-0.39550.652552
130.0645690.3820.352388
14-0.002187-0.01290.505126
150.0329420.19490.423303
16-0.274399-1.62340.943258
17-0.050001-0.29580.615439
180.0398870.2360.407414
19-0.058046-0.34340.633325
200.0349180.20660.41877
21-0.002153-0.01270.505044
22-0.12231-0.72360.762938
230.0508120.30060.382745
24-0.111323-0.65860.742768
25-0.032061-0.18970.57467
26-0.024927-0.14750.558197
270.0110520.06540.47412
28-0.027415-0.16220.563955
290.0106370.06290.475091
30-0.017404-0.1030.540709
31-0.120564-0.71330.759794
32-0.042464-0.25120.598444
33-0.101834-0.60250.724624
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA



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