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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 07:29:06 -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/t1196950669ixfdnj4tw9jsaif.htm/, Retrieved Fri, 03 May 2024 05:22:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2625, Retrieved Fri, 03 May 2024 05:22:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact202
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 5: Q1] [2007-12-06 14:29:06] [9ec4fcc2bfe8b6d942eac6074e595603] [Current]
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Dataseries X:
-122
-26
9
-99
-312
111
139
-648
213
153
175
841
87
381
-284
-281
-77
-328
-165
12
-406
-519
-351
-605
-283
-571
15
-368
-335
-322
135
218
-57
-13
302
-342
79
104
108
442
244
343
-45
218
200
-97
-1028
-391




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=2625&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=2625&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2625&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
016.92820
10.3223342.23320.015117
20.2609941.80820.03842
30.2009561.39230.08513
40.025460.17640.430364
50.0583750.40440.343845
6-0.062043-0.42980.665385
7-0.039967-0.27690.608476
8-0.009698-0.06720.526646
9-0.190406-1.31920.903314
10-0.124184-0.86040.803069
11-0.119167-0.82560.793445
12-0.310634-2.15210.981778
13-0.159154-1.10270.862162
14-0.221072-1.53160.933911
15-0.228875-1.58570.940312
16-0.324337-2.24710.985365
17-0.161959-1.12210.866296
18-0.058305-0.40390.655978
19-0.093001-0.64430.738786
20-0.035095-0.24310.595535
210.0893150.61880.269489
220.0151110.10470.458527
230.0881240.61050.272192
24-0.002054-0.01420.505649
250.1492261.03390.153189
260.124890.86530.1956
27-0.006862-0.04750.51886
280.2084221.4440.077618
290.1337490.92660.179374
300.1131690.78410.218429
310.1399080.96930.168625
320.1027940.71220.239901
33-0.002702-0.01870.507429
34-0.060789-0.42120.662241
35-0.142221-0.98530.8353
36-0.116598-0.80780.788409
37-0.087041-0.6030.725338
38-0.037245-0.2580.60126
390.0872480.60450.274188
40-0.017328-0.12010.54753
41-0.045752-0.3170.623682
420.039010.27030.394057
430.018440.12780.449438
44-0.016294-0.11290.544706
45-0.013519-0.09370.537116
460.0058650.04060.483879
470.0029120.02020.491993

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.322334 & 2.2332 & 0.015117 \tabularnewline
2 & 0.260994 & 1.8082 & 0.03842 \tabularnewline
3 & 0.200956 & 1.3923 & 0.08513 \tabularnewline
4 & 0.02546 & 0.1764 & 0.430364 \tabularnewline
5 & 0.058375 & 0.4044 & 0.343845 \tabularnewline
6 & -0.062043 & -0.4298 & 0.665385 \tabularnewline
7 & -0.039967 & -0.2769 & 0.608476 \tabularnewline
8 & -0.009698 & -0.0672 & 0.526646 \tabularnewline
9 & -0.190406 & -1.3192 & 0.903314 \tabularnewline
10 & -0.124184 & -0.8604 & 0.803069 \tabularnewline
11 & -0.119167 & -0.8256 & 0.793445 \tabularnewline
12 & -0.310634 & -2.1521 & 0.981778 \tabularnewline
13 & -0.159154 & -1.1027 & 0.862162 \tabularnewline
14 & -0.221072 & -1.5316 & 0.933911 \tabularnewline
15 & -0.228875 & -1.5857 & 0.940312 \tabularnewline
16 & -0.324337 & -2.2471 & 0.985365 \tabularnewline
17 & -0.161959 & -1.1221 & 0.866296 \tabularnewline
18 & -0.058305 & -0.4039 & 0.655978 \tabularnewline
19 & -0.093001 & -0.6443 & 0.738786 \tabularnewline
20 & -0.035095 & -0.2431 & 0.595535 \tabularnewline
21 & 0.089315 & 0.6188 & 0.269489 \tabularnewline
22 & 0.015111 & 0.1047 & 0.458527 \tabularnewline
23 & 0.088124 & 0.6105 & 0.272192 \tabularnewline
24 & -0.002054 & -0.0142 & 0.505649 \tabularnewline
25 & 0.149226 & 1.0339 & 0.153189 \tabularnewline
26 & 0.12489 & 0.8653 & 0.1956 \tabularnewline
27 & -0.006862 & -0.0475 & 0.51886 \tabularnewline
28 & 0.208422 & 1.444 & 0.077618 \tabularnewline
29 & 0.133749 & 0.9266 & 0.179374 \tabularnewline
30 & 0.113169 & 0.7841 & 0.218429 \tabularnewline
31 & 0.139908 & 0.9693 & 0.168625 \tabularnewline
32 & 0.102794 & 0.7122 & 0.239901 \tabularnewline
33 & -0.002702 & -0.0187 & 0.507429 \tabularnewline
34 & -0.060789 & -0.4212 & 0.662241 \tabularnewline
35 & -0.142221 & -0.9853 & 0.8353 \tabularnewline
36 & -0.116598 & -0.8078 & 0.788409 \tabularnewline
37 & -0.087041 & -0.603 & 0.725338 \tabularnewline
38 & -0.037245 & -0.258 & 0.60126 \tabularnewline
39 & 0.087248 & 0.6045 & 0.274188 \tabularnewline
40 & -0.017328 & -0.1201 & 0.54753 \tabularnewline
41 & -0.045752 & -0.317 & 0.623682 \tabularnewline
42 & 0.03901 & 0.2703 & 0.394057 \tabularnewline
43 & 0.01844 & 0.1278 & 0.449438 \tabularnewline
44 & -0.016294 & -0.1129 & 0.544706 \tabularnewline
45 & -0.013519 & -0.0937 & 0.537116 \tabularnewline
46 & 0.005865 & 0.0406 & 0.483879 \tabularnewline
47 & 0.002912 & 0.0202 & 0.491993 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2625&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.322334[/C][C]2.2332[/C][C]0.015117[/C][/ROW]
[ROW][C]2[/C][C]0.260994[/C][C]1.8082[/C][C]0.03842[/C][/ROW]
[ROW][C]3[/C][C]0.200956[/C][C]1.3923[/C][C]0.08513[/C][/ROW]
[ROW][C]4[/C][C]0.02546[/C][C]0.1764[/C][C]0.430364[/C][/ROW]
[ROW][C]5[/C][C]0.058375[/C][C]0.4044[/C][C]0.343845[/C][/ROW]
[ROW][C]6[/C][C]-0.062043[/C][C]-0.4298[/C][C]0.665385[/C][/ROW]
[ROW][C]7[/C][C]-0.039967[/C][C]-0.2769[/C][C]0.608476[/C][/ROW]
[ROW][C]8[/C][C]-0.009698[/C][C]-0.0672[/C][C]0.526646[/C][/ROW]
[ROW][C]9[/C][C]-0.190406[/C][C]-1.3192[/C][C]0.903314[/C][/ROW]
[ROW][C]10[/C][C]-0.124184[/C][C]-0.8604[/C][C]0.803069[/C][/ROW]
[ROW][C]11[/C][C]-0.119167[/C][C]-0.8256[/C][C]0.793445[/C][/ROW]
[ROW][C]12[/C][C]-0.310634[/C][C]-2.1521[/C][C]0.981778[/C][/ROW]
[ROW][C]13[/C][C]-0.159154[/C][C]-1.1027[/C][C]0.862162[/C][/ROW]
[ROW][C]14[/C][C]-0.221072[/C][C]-1.5316[/C][C]0.933911[/C][/ROW]
[ROW][C]15[/C][C]-0.228875[/C][C]-1.5857[/C][C]0.940312[/C][/ROW]
[ROW][C]16[/C][C]-0.324337[/C][C]-2.2471[/C][C]0.985365[/C][/ROW]
[ROW][C]17[/C][C]-0.161959[/C][C]-1.1221[/C][C]0.866296[/C][/ROW]
[ROW][C]18[/C][C]-0.058305[/C][C]-0.4039[/C][C]0.655978[/C][/ROW]
[ROW][C]19[/C][C]-0.093001[/C][C]-0.6443[/C][C]0.738786[/C][/ROW]
[ROW][C]20[/C][C]-0.035095[/C][C]-0.2431[/C][C]0.595535[/C][/ROW]
[ROW][C]21[/C][C]0.089315[/C][C]0.6188[/C][C]0.269489[/C][/ROW]
[ROW][C]22[/C][C]0.015111[/C][C]0.1047[/C][C]0.458527[/C][/ROW]
[ROW][C]23[/C][C]0.088124[/C][C]0.6105[/C][C]0.272192[/C][/ROW]
[ROW][C]24[/C][C]-0.002054[/C][C]-0.0142[/C][C]0.505649[/C][/ROW]
[ROW][C]25[/C][C]0.149226[/C][C]1.0339[/C][C]0.153189[/C][/ROW]
[ROW][C]26[/C][C]0.12489[/C][C]0.8653[/C][C]0.1956[/C][/ROW]
[ROW][C]27[/C][C]-0.006862[/C][C]-0.0475[/C][C]0.51886[/C][/ROW]
[ROW][C]28[/C][C]0.208422[/C][C]1.444[/C][C]0.077618[/C][/ROW]
[ROW][C]29[/C][C]0.133749[/C][C]0.9266[/C][C]0.179374[/C][/ROW]
[ROW][C]30[/C][C]0.113169[/C][C]0.7841[/C][C]0.218429[/C][/ROW]
[ROW][C]31[/C][C]0.139908[/C][C]0.9693[/C][C]0.168625[/C][/ROW]
[ROW][C]32[/C][C]0.102794[/C][C]0.7122[/C][C]0.239901[/C][/ROW]
[ROW][C]33[/C][C]-0.002702[/C][C]-0.0187[/C][C]0.507429[/C][/ROW]
[ROW][C]34[/C][C]-0.060789[/C][C]-0.4212[/C][C]0.662241[/C][/ROW]
[ROW][C]35[/C][C]-0.142221[/C][C]-0.9853[/C][C]0.8353[/C][/ROW]
[ROW][C]36[/C][C]-0.116598[/C][C]-0.8078[/C][C]0.788409[/C][/ROW]
[ROW][C]37[/C][C]-0.087041[/C][C]-0.603[/C][C]0.725338[/C][/ROW]
[ROW][C]38[/C][C]-0.037245[/C][C]-0.258[/C][C]0.60126[/C][/ROW]
[ROW][C]39[/C][C]0.087248[/C][C]0.6045[/C][C]0.274188[/C][/ROW]
[ROW][C]40[/C][C]-0.017328[/C][C]-0.1201[/C][C]0.54753[/C][/ROW]
[ROW][C]41[/C][C]-0.045752[/C][C]-0.317[/C][C]0.623682[/C][/ROW]
[ROW][C]42[/C][C]0.03901[/C][C]0.2703[/C][C]0.394057[/C][/ROW]
[ROW][C]43[/C][C]0.01844[/C][C]0.1278[/C][C]0.449438[/C][/ROW]
[ROW][C]44[/C][C]-0.016294[/C][C]-0.1129[/C][C]0.544706[/C][/ROW]
[ROW][C]45[/C][C]-0.013519[/C][C]-0.0937[/C][C]0.537116[/C][/ROW]
[ROW][C]46[/C][C]0.005865[/C][C]0.0406[/C][C]0.483879[/C][/ROW]
[ROW][C]47[/C][C]0.002912[/C][C]0.0202[/C][C]0.491993[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2625&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2625&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
016.92820
10.3223342.23320.015117
20.2609941.80820.03842
30.2009561.39230.08513
40.025460.17640.430364
50.0583750.40440.343845
6-0.062043-0.42980.665385
7-0.039967-0.27690.608476
8-0.009698-0.06720.526646
9-0.190406-1.31920.903314
10-0.124184-0.86040.803069
11-0.119167-0.82560.793445
12-0.310634-2.15210.981778
13-0.159154-1.10270.862162
14-0.221072-1.53160.933911
15-0.228875-1.58570.940312
16-0.324337-2.24710.985365
17-0.161959-1.12210.866296
18-0.058305-0.40390.655978
19-0.093001-0.64430.738786
20-0.035095-0.24310.595535
210.0893150.61880.269489
220.0151110.10470.458527
230.0881240.61050.272192
24-0.002054-0.01420.505649
250.1492261.03390.153189
260.124890.86530.1956
27-0.006862-0.04750.51886
280.2084221.4440.077618
290.1337490.92660.179374
300.1131690.78410.218429
310.1399080.96930.168625
320.1027940.71220.239901
33-0.002702-0.01870.507429
34-0.060789-0.42120.662241
35-0.142221-0.98530.8353
36-0.116598-0.80780.788409
37-0.087041-0.6030.725338
38-0.037245-0.2580.60126
390.0872480.60450.274188
40-0.017328-0.12010.54753
41-0.045752-0.3170.623682
420.039010.27030.394057
430.018440.12780.449438
44-0.016294-0.11290.544706
45-0.013519-0.09370.537116
460.0058650.04060.483879
470.0029120.02020.491993







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3223342.23320.015117
10.175311.21460.115234
20.0864290.59880.276061
3-0.107337-0.74370.769644
40.0268460.1860.426616
5-0.096634-0.66950.746809
60.0020240.0140.494435
70.0240740.16680.434119
8-0.185276-1.28360.897283
9-0.04527-0.31360.622422
10-0.011382-0.07890.531262
11-0.246142-1.70530.9527
12-0.003123-0.02160.508587
13-0.080749-0.55940.710771
14-0.125015-0.86610.804636
15-0.285555-1.97840.97318
160.0830180.57520.283934
170.0051550.03570.485829
18-0.089833-0.62240.731682
19-0.045691-0.31660.623523
200.0530340.36740.357457
21-0.128856-0.89270.811775
220.0393910.27290.393047
23-0.177272-1.22820.887316
240.0803840.55690.290087
25-0.055917-0.38740.649916
26-0.140478-0.97330.832349
270.0116880.0810.467899
280.071780.49730.310621
29-0.045882-0.31790.624023
30-0.060562-0.41960.66167
31-0.001482-0.01030.504075
32-0.118451-0.82070.792049
33-0.136604-0.94640.825662
34-0.108075-0.74880.771174
35-0.204191-1.41470.918191
360.1110330.76930.222754
37-0.000707-0.00490.501945
380.0435750.30190.382018
39-0.109812-0.76080.77475
400.0202240.14010.444577
410.006060.0420.483343
42-0.02262-0.15670.561937
43-0.012466-0.08640.534233
44-0.009563-0.06630.526276
45-0.074782-0.51810.696618
46-0.019127-0.13250.552435
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.322334 & 2.2332 & 0.015117 \tabularnewline
1 & 0.17531 & 1.2146 & 0.115234 \tabularnewline
2 & 0.086429 & 0.5988 & 0.276061 \tabularnewline
3 & -0.107337 & -0.7437 & 0.769644 \tabularnewline
4 & 0.026846 & 0.186 & 0.426616 \tabularnewline
5 & -0.096634 & -0.6695 & 0.746809 \tabularnewline
6 & 0.002024 & 0.014 & 0.494435 \tabularnewline
7 & 0.024074 & 0.1668 & 0.434119 \tabularnewline
8 & -0.185276 & -1.2836 & 0.897283 \tabularnewline
9 & -0.04527 & -0.3136 & 0.622422 \tabularnewline
10 & -0.011382 & -0.0789 & 0.531262 \tabularnewline
11 & -0.246142 & -1.7053 & 0.9527 \tabularnewline
12 & -0.003123 & -0.0216 & 0.508587 \tabularnewline
13 & -0.080749 & -0.5594 & 0.710771 \tabularnewline
14 & -0.125015 & -0.8661 & 0.804636 \tabularnewline
15 & -0.285555 & -1.9784 & 0.97318 \tabularnewline
16 & 0.083018 & 0.5752 & 0.283934 \tabularnewline
17 & 0.005155 & 0.0357 & 0.485829 \tabularnewline
18 & -0.089833 & -0.6224 & 0.731682 \tabularnewline
19 & -0.045691 & -0.3166 & 0.623523 \tabularnewline
20 & 0.053034 & 0.3674 & 0.357457 \tabularnewline
21 & -0.128856 & -0.8927 & 0.811775 \tabularnewline
22 & 0.039391 & 0.2729 & 0.393047 \tabularnewline
23 & -0.177272 & -1.2282 & 0.887316 \tabularnewline
24 & 0.080384 & 0.5569 & 0.290087 \tabularnewline
25 & -0.055917 & -0.3874 & 0.649916 \tabularnewline
26 & -0.140478 & -0.9733 & 0.832349 \tabularnewline
27 & 0.011688 & 0.081 & 0.467899 \tabularnewline
28 & 0.07178 & 0.4973 & 0.310621 \tabularnewline
29 & -0.045882 & -0.3179 & 0.624023 \tabularnewline
30 & -0.060562 & -0.4196 & 0.66167 \tabularnewline
31 & -0.001482 & -0.0103 & 0.504075 \tabularnewline
32 & -0.118451 & -0.8207 & 0.792049 \tabularnewline
33 & -0.136604 & -0.9464 & 0.825662 \tabularnewline
34 & -0.108075 & -0.7488 & 0.771174 \tabularnewline
35 & -0.204191 & -1.4147 & 0.918191 \tabularnewline
36 & 0.111033 & 0.7693 & 0.222754 \tabularnewline
37 & -0.000707 & -0.0049 & 0.501945 \tabularnewline
38 & 0.043575 & 0.3019 & 0.382018 \tabularnewline
39 & -0.109812 & -0.7608 & 0.77475 \tabularnewline
40 & 0.020224 & 0.1401 & 0.444577 \tabularnewline
41 & 0.00606 & 0.042 & 0.483343 \tabularnewline
42 & -0.02262 & -0.1567 & 0.561937 \tabularnewline
43 & -0.012466 & -0.0864 & 0.534233 \tabularnewline
44 & -0.009563 & -0.0663 & 0.526276 \tabularnewline
45 & -0.074782 & -0.5181 & 0.696618 \tabularnewline
46 & -0.019127 & -0.1325 & 0.552435 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2625&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]0.322334[/C][C]2.2332[/C][C]0.015117[/C][/ROW]
[ROW][C]1[/C][C]0.17531[/C][C]1.2146[/C][C]0.115234[/C][/ROW]
[ROW][C]2[/C][C]0.086429[/C][C]0.5988[/C][C]0.276061[/C][/ROW]
[ROW][C]3[/C][C]-0.107337[/C][C]-0.7437[/C][C]0.769644[/C][/ROW]
[ROW][C]4[/C][C]0.026846[/C][C]0.186[/C][C]0.426616[/C][/ROW]
[ROW][C]5[/C][C]-0.096634[/C][C]-0.6695[/C][C]0.746809[/C][/ROW]
[ROW][C]6[/C][C]0.002024[/C][C]0.014[/C][C]0.494435[/C][/ROW]
[ROW][C]7[/C][C]0.024074[/C][C]0.1668[/C][C]0.434119[/C][/ROW]
[ROW][C]8[/C][C]-0.185276[/C][C]-1.2836[/C][C]0.897283[/C][/ROW]
[ROW][C]9[/C][C]-0.04527[/C][C]-0.3136[/C][C]0.622422[/C][/ROW]
[ROW][C]10[/C][C]-0.011382[/C][C]-0.0789[/C][C]0.531262[/C][/ROW]
[ROW][C]11[/C][C]-0.246142[/C][C]-1.7053[/C][C]0.9527[/C][/ROW]
[ROW][C]12[/C][C]-0.003123[/C][C]-0.0216[/C][C]0.508587[/C][/ROW]
[ROW][C]13[/C][C]-0.080749[/C][C]-0.5594[/C][C]0.710771[/C][/ROW]
[ROW][C]14[/C][C]-0.125015[/C][C]-0.8661[/C][C]0.804636[/C][/ROW]
[ROW][C]15[/C][C]-0.285555[/C][C]-1.9784[/C][C]0.97318[/C][/ROW]
[ROW][C]16[/C][C]0.083018[/C][C]0.5752[/C][C]0.283934[/C][/ROW]
[ROW][C]17[/C][C]0.005155[/C][C]0.0357[/C][C]0.485829[/C][/ROW]
[ROW][C]18[/C][C]-0.089833[/C][C]-0.6224[/C][C]0.731682[/C][/ROW]
[ROW][C]19[/C][C]-0.045691[/C][C]-0.3166[/C][C]0.623523[/C][/ROW]
[ROW][C]20[/C][C]0.053034[/C][C]0.3674[/C][C]0.357457[/C][/ROW]
[ROW][C]21[/C][C]-0.128856[/C][C]-0.8927[/C][C]0.811775[/C][/ROW]
[ROW][C]22[/C][C]0.039391[/C][C]0.2729[/C][C]0.393047[/C][/ROW]
[ROW][C]23[/C][C]-0.177272[/C][C]-1.2282[/C][C]0.887316[/C][/ROW]
[ROW][C]24[/C][C]0.080384[/C][C]0.5569[/C][C]0.290087[/C][/ROW]
[ROW][C]25[/C][C]-0.055917[/C][C]-0.3874[/C][C]0.649916[/C][/ROW]
[ROW][C]26[/C][C]-0.140478[/C][C]-0.9733[/C][C]0.832349[/C][/ROW]
[ROW][C]27[/C][C]0.011688[/C][C]0.081[/C][C]0.467899[/C][/ROW]
[ROW][C]28[/C][C]0.07178[/C][C]0.4973[/C][C]0.310621[/C][/ROW]
[ROW][C]29[/C][C]-0.045882[/C][C]-0.3179[/C][C]0.624023[/C][/ROW]
[ROW][C]30[/C][C]-0.060562[/C][C]-0.4196[/C][C]0.66167[/C][/ROW]
[ROW][C]31[/C][C]-0.001482[/C][C]-0.0103[/C][C]0.504075[/C][/ROW]
[ROW][C]32[/C][C]-0.118451[/C][C]-0.8207[/C][C]0.792049[/C][/ROW]
[ROW][C]33[/C][C]-0.136604[/C][C]-0.9464[/C][C]0.825662[/C][/ROW]
[ROW][C]34[/C][C]-0.108075[/C][C]-0.7488[/C][C]0.771174[/C][/ROW]
[ROW][C]35[/C][C]-0.204191[/C][C]-1.4147[/C][C]0.918191[/C][/ROW]
[ROW][C]36[/C][C]0.111033[/C][C]0.7693[/C][C]0.222754[/C][/ROW]
[ROW][C]37[/C][C]-0.000707[/C][C]-0.0049[/C][C]0.501945[/C][/ROW]
[ROW][C]38[/C][C]0.043575[/C][C]0.3019[/C][C]0.382018[/C][/ROW]
[ROW][C]39[/C][C]-0.109812[/C][C]-0.7608[/C][C]0.77475[/C][/ROW]
[ROW][C]40[/C][C]0.020224[/C][C]0.1401[/C][C]0.444577[/C][/ROW]
[ROW][C]41[/C][C]0.00606[/C][C]0.042[/C][C]0.483343[/C][/ROW]
[ROW][C]42[/C][C]-0.02262[/C][C]-0.1567[/C][C]0.561937[/C][/ROW]
[ROW][C]43[/C][C]-0.012466[/C][C]-0.0864[/C][C]0.534233[/C][/ROW]
[ROW][C]44[/C][C]-0.009563[/C][C]-0.0663[/C][C]0.526276[/C][/ROW]
[ROW][C]45[/C][C]-0.074782[/C][C]-0.5181[/C][C]0.696618[/C][/ROW]
[ROW][C]46[/C][C]-0.019127[/C][C]-0.1325[/C][C]0.552435[/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=2625&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2625&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
00.3223342.23320.015117
10.175311.21460.115234
20.0864290.59880.276061
3-0.107337-0.74370.769644
40.0268460.1860.426616
5-0.096634-0.66950.746809
60.0020240.0140.494435
70.0240740.16680.434119
8-0.185276-1.28360.897283
9-0.04527-0.31360.622422
10-0.011382-0.07890.531262
11-0.246142-1.70530.9527
12-0.003123-0.02160.508587
13-0.080749-0.55940.710771
14-0.125015-0.86610.804636
15-0.285555-1.97840.97318
160.0830180.57520.283934
170.0051550.03570.485829
18-0.089833-0.62240.731682
19-0.045691-0.31660.623523
200.0530340.36740.357457
21-0.128856-0.89270.811775
220.0393910.27290.393047
23-0.177272-1.22820.887316
240.0803840.55690.290087
25-0.055917-0.38740.649916
26-0.140478-0.97330.832349
270.0116880.0810.467899
280.071780.49730.310621
29-0.045882-0.31790.624023
30-0.060562-0.41960.66167
31-0.001482-0.01030.504075
32-0.118451-0.82070.792049
33-0.136604-0.94640.825662
34-0.108075-0.74880.771174
35-0.204191-1.41470.918191
360.1110330.76930.222754
37-0.000707-0.00490.501945
380.0435750.30190.382018
39-0.109812-0.76080.77475
400.0202240.14010.444577
410.006060.0420.483343
42-0.02262-0.15670.561937
43-0.012466-0.08640.534233
44-0.009563-0.06630.526276
45-0.074782-0.51810.696618
46-0.019127-0.13250.552435
47NANANA



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