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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 27 Nov 2007 06:19:04 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/27/t11961689780q9t1uvcmhfmsv6.htm/, Retrieved Sun, 05 May 2024 20:24:26 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6868, Retrieved Sun, 05 May 2024 20:24:26 +0000

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d=0 D=0

IsPrivate?

No (this computation is public)

User-defined keywords

Q2, reeks 4

Estimated Impact

164

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [(Partial) Autocorrelation Function] [Workshop 3 Q2] [2007-11-27 13:19:04] [e38ae300fa323c405e42b78372d772d6] [Current]

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Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6868&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]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=6868&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6868&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	9	0
1	0.218154	1.9634	0.026516
2	-0.14527	-1.3074	0.902617
3	-0.03339	-0.3005	0.61772
4	0.354679	3.1921	0.001006
5	0.163229	1.4691	0.072845
6	0.095852	0.8627	0.195434
7	0.161803	1.4562	0.074598
8	0.315723	2.8415	0.002839
9	-0.079249	-0.7132	0.761127
10	-0.192443	-1.732	0.956459
11	0.053685	0.4832	0.315142
12	0.670894	6.038	0
13	0.046483	0.4183	0.338399
14	-0.244703	-2.2023	0.984757
15	-0.1378	-1.2402	0.890759
16	0.215295	1.9377	0.028075
17	0.067166	0.6045	0.273603
18	0.006589	0.0593	0.476428
19	0.05529	0.4976	0.310052
20	0.205618	1.8506	0.033939
21	-0.124351	-1.1192	0.86681
22	-0.214002	-1.926	0.971195
23	-0.042262	-0.3804	0.647663
24	0.471046	4.2394	3e-05
25	0.022568	0.2031	0.419778
26	-0.255336	-2.298	0.98793
27	-0.213913	-1.9252	0.971144
28	0.086982	0.7828	0.218004
29	0.024018	0.2162	0.414704
30	-0.082357	-0.7412	0.769647
31	-0.067094	-0.6038	0.726183
32	0.085919	0.7733	0.220806
33	-0.169998	-1.53	0.935042
34	-0.246834	-2.2215	0.985446
35	-0.118087	-1.0628	0.85448
36	0.3188	2.8692	0.002623
37	-0.019012	-0.1711	0.567718
38	-0.22792	-2.0513	0.978264
39	-0.211118	-1.9001	0.969509
40	0.020381	0.1834	0.427461
41	-0.01242	-0.1118	0.544362
42	-0.095039	-0.8554	0.80256
43	-0.107462	-0.9672	0.831827
44	0.038925	0.3503	0.363502
45	-0.146845	-1.3216	0.904989
46	-0.230024	-2.0702	0.979191
47	-0.140101	-1.2609	0.894519

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9 & 0 \tabularnewline
1 & 0.218154 & 1.9634 & 0.026516 \tabularnewline
2 & -0.14527 & -1.3074 & 0.902617 \tabularnewline
3 & -0.03339 & -0.3005 & 0.61772 \tabularnewline
4 & 0.354679 & 3.1921 & 0.001006 \tabularnewline
5 & 0.163229 & 1.4691 & 0.072845 \tabularnewline
6 & 0.095852 & 0.8627 & 0.195434 \tabularnewline
7 & 0.161803 & 1.4562 & 0.074598 \tabularnewline
8 & 0.315723 & 2.8415 & 0.002839 \tabularnewline
9 & -0.079249 & -0.7132 & 0.761127 \tabularnewline
10 & -0.192443 & -1.732 & 0.956459 \tabularnewline
11 & 0.053685 & 0.4832 & 0.315142 \tabularnewline
12 & 0.670894 & 6.038 & 0 \tabularnewline
13 & 0.046483 & 0.4183 & 0.338399 \tabularnewline
14 & -0.244703 & -2.2023 & 0.984757 \tabularnewline
15 & -0.1378 & -1.2402 & 0.890759 \tabularnewline
16 & 0.215295 & 1.9377 & 0.028075 \tabularnewline
17 & 0.067166 & 0.6045 & 0.273603 \tabularnewline
18 & 0.006589 & 0.0593 & 0.476428 \tabularnewline
19 & 0.05529 & 0.4976 & 0.310052 \tabularnewline
20 & 0.205618 & 1.8506 & 0.033939 \tabularnewline
21 & -0.124351 & -1.1192 & 0.86681 \tabularnewline
22 & -0.214002 & -1.926 & 0.971195 \tabularnewline
23 & -0.042262 & -0.3804 & 0.647663 \tabularnewline
24 & 0.471046 & 4.2394 & 3e-05 \tabularnewline
25 & 0.022568 & 0.2031 & 0.419778 \tabularnewline
26 & -0.255336 & -2.298 & 0.98793 \tabularnewline
27 & -0.213913 & -1.9252 & 0.971144 \tabularnewline
28 & 0.086982 & 0.7828 & 0.218004 \tabularnewline
29 & 0.024018 & 0.2162 & 0.414704 \tabularnewline
30 & -0.082357 & -0.7412 & 0.769647 \tabularnewline
31 & -0.067094 & -0.6038 & 0.726183 \tabularnewline
32 & 0.085919 & 0.7733 & 0.220806 \tabularnewline
33 & -0.169998 & -1.53 & 0.935042 \tabularnewline
34 & -0.246834 & -2.2215 & 0.985446 \tabularnewline
35 & -0.118087 & -1.0628 & 0.85448 \tabularnewline
36 & 0.3188 & 2.8692 & 0.002623 \tabularnewline
37 & -0.019012 & -0.1711 & 0.567718 \tabularnewline
38 & -0.22792 & -2.0513 & 0.978264 \tabularnewline
39 & -0.211118 & -1.9001 & 0.969509 \tabularnewline
40 & 0.020381 & 0.1834 & 0.427461 \tabularnewline
41 & -0.01242 & -0.1118 & 0.544362 \tabularnewline
42 & -0.095039 & -0.8554 & 0.80256 \tabularnewline
43 & -0.107462 & -0.9672 & 0.831827 \tabularnewline
44 & 0.038925 & 0.3503 & 0.363502 \tabularnewline
45 & -0.146845 & -1.3216 & 0.904989 \tabularnewline
46 & -0.230024 & -2.0702 & 0.979191 \tabularnewline
47 & -0.140101 & -1.2609 & 0.894519 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6868&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]9[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.218154[/C][C]1.9634[/C][C]0.026516[/C][/ROW]
[ROW][C]2[/C][C]-0.14527[/C][C]-1.3074[/C][C]0.902617[/C][/ROW]
[ROW][C]3[/C][C]-0.03339[/C][C]-0.3005[/C][C]0.61772[/C][/ROW]
[ROW][C]4[/C][C]0.354679[/C][C]3.1921[/C][C]0.001006[/C][/ROW]
[ROW][C]5[/C][C]0.163229[/C][C]1.4691[/C][C]0.072845[/C][/ROW]
[ROW][C]6[/C][C]0.095852[/C][C]0.8627[/C][C]0.195434[/C][/ROW]
[ROW][C]7[/C][C]0.161803[/C][C]1.4562[/C][C]0.074598[/C][/ROW]
[ROW][C]8[/C][C]0.315723[/C][C]2.8415[/C][C]0.002839[/C][/ROW]
[ROW][C]9[/C][C]-0.079249[/C][C]-0.7132[/C][C]0.761127[/C][/ROW]
[ROW][C]10[/C][C]-0.192443[/C][C]-1.732[/C][C]0.956459[/C][/ROW]
[ROW][C]11[/C][C]0.053685[/C][C]0.4832[/C][C]0.315142[/C][/ROW]
[ROW][C]12[/C][C]0.670894[/C][C]6.038[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.046483[/C][C]0.4183[/C][C]0.338399[/C][/ROW]
[ROW][C]14[/C][C]-0.244703[/C][C]-2.2023[/C][C]0.984757[/C][/ROW]
[ROW][C]15[/C][C]-0.1378[/C][C]-1.2402[/C][C]0.890759[/C][/ROW]
[ROW][C]16[/C][C]0.215295[/C][C]1.9377[/C][C]0.028075[/C][/ROW]
[ROW][C]17[/C][C]0.067166[/C][C]0.6045[/C][C]0.273603[/C][/ROW]
[ROW][C]18[/C][C]0.006589[/C][C]0.0593[/C][C]0.476428[/C][/ROW]
[ROW][C]19[/C][C]0.05529[/C][C]0.4976[/C][C]0.310052[/C][/ROW]
[ROW][C]20[/C][C]0.205618[/C][C]1.8506[/C][C]0.033939[/C][/ROW]
[ROW][C]21[/C][C]-0.124351[/C][C]-1.1192[/C][C]0.86681[/C][/ROW]
[ROW][C]22[/C][C]-0.214002[/C][C]-1.926[/C][C]0.971195[/C][/ROW]
[ROW][C]23[/C][C]-0.042262[/C][C]-0.3804[/C][C]0.647663[/C][/ROW]
[ROW][C]24[/C][C]0.471046[/C][C]4.2394[/C][C]3e-05[/C][/ROW]
[ROW][C]25[/C][C]0.022568[/C][C]0.2031[/C][C]0.419778[/C][/ROW]
[ROW][C]26[/C][C]-0.255336[/C][C]-2.298[/C][C]0.98793[/C][/ROW]
[ROW][C]27[/C][C]-0.213913[/C][C]-1.9252[/C][C]0.971144[/C][/ROW]
[ROW][C]28[/C][C]0.086982[/C][C]0.7828[/C][C]0.218004[/C][/ROW]
[ROW][C]29[/C][C]0.024018[/C][C]0.2162[/C][C]0.414704[/C][/ROW]
[ROW][C]30[/C][C]-0.082357[/C][C]-0.7412[/C][C]0.769647[/C][/ROW]
[ROW][C]31[/C][C]-0.067094[/C][C]-0.6038[/C][C]0.726183[/C][/ROW]
[ROW][C]32[/C][C]0.085919[/C][C]0.7733[/C][C]0.220806[/C][/ROW]
[ROW][C]33[/C][C]-0.169998[/C][C]-1.53[/C][C]0.935042[/C][/ROW]
[ROW][C]34[/C][C]-0.246834[/C][C]-2.2215[/C][C]0.985446[/C][/ROW]
[ROW][C]35[/C][C]-0.118087[/C][C]-1.0628[/C][C]0.85448[/C][/ROW]
[ROW][C]36[/C][C]0.3188[/C][C]2.8692[/C][C]0.002623[/C][/ROW]
[ROW][C]37[/C][C]-0.019012[/C][C]-0.1711[/C][C]0.567718[/C][/ROW]
[ROW][C]38[/C][C]-0.22792[/C][C]-2.0513[/C][C]0.978264[/C][/ROW]
[ROW][C]39[/C][C]-0.211118[/C][C]-1.9001[/C][C]0.969509[/C][/ROW]
[ROW][C]40[/C][C]0.020381[/C][C]0.1834[/C][C]0.427461[/C][/ROW]
[ROW][C]41[/C][C]-0.01242[/C][C]-0.1118[/C][C]0.544362[/C][/ROW]
[ROW][C]42[/C][C]-0.095039[/C][C]-0.8554[/C][C]0.80256[/C][/ROW]
[ROW][C]43[/C][C]-0.107462[/C][C]-0.9672[/C][C]0.831827[/C][/ROW]
[ROW][C]44[/C][C]0.038925[/C][C]0.3503[/C][C]0.363502[/C][/ROW]
[ROW][C]45[/C][C]-0.146845[/C][C]-1.3216[/C][C]0.904989[/C][/ROW]
[ROW][C]46[/C][C]-0.230024[/C][C]-2.0702[/C][C]0.979191[/C][/ROW]
[ROW][C]47[/C][C]-0.140101[/C][C]-1.2609[/C][C]0.894519[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6868&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6868&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 k	ACF(k)	T-STAT	P-value
0	1	9	0
1	0.218154	1.9634	0.026516
2	-0.14527	-1.3074	0.902617
3	-0.03339	-0.3005	0.61772
4	0.354679	3.1921	0.001006
5	0.163229	1.4691	0.072845
6	0.095852	0.8627	0.195434
7	0.161803	1.4562	0.074598
8	0.315723	2.8415	0.002839
9	-0.079249	-0.7132	0.761127
10	-0.192443	-1.732	0.956459
11	0.053685	0.4832	0.315142
12	0.670894	6.038	0
13	0.046483	0.4183	0.338399
14	-0.244703	-2.2023	0.984757
15	-0.1378	-1.2402	0.890759
16	0.215295	1.9377	0.028075
17	0.067166	0.6045	0.273603
18	0.006589	0.0593	0.476428
19	0.05529	0.4976	0.310052
20	0.205618	1.8506	0.033939
21	-0.124351	-1.1192	0.86681
22	-0.214002	-1.926	0.971195
23	-0.042262	-0.3804	0.647663
24	0.471046	4.2394	3e-05
25	0.022568	0.2031	0.419778
26	-0.255336	-2.298	0.98793
27	-0.213913	-1.9252	0.971144
28	0.086982	0.7828	0.218004
29	0.024018	0.2162	0.414704
30	-0.082357	-0.7412	0.769647
31	-0.067094	-0.6038	0.726183
32	0.085919	0.7733	0.220806
33	-0.169998	-1.53	0.935042
34	-0.246834	-2.2215	0.985446
35	-0.118087	-1.0628	0.85448
36	0.3188	2.8692	0.002623
37	-0.019012	-0.1711	0.567718
38	-0.22792	-2.0513	0.978264
39	-0.211118	-1.9001	0.969509
40	0.020381	0.1834	0.427461
41	-0.01242	-0.1118	0.544362
42	-0.095039	-0.8554	0.80256
43	-0.107462	-0.9672	0.831827
44	0.038925	0.3503	0.363502
45	-0.146845	-1.3216	0.904989
46	-0.230024	-2.0702	0.979191
47	-0.140101	-1.2609	0.894519

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.218154	1.9634	0.026516
1	-0.202498	-1.8225	0.963964
2	0.053533	0.4818	0.315624
3	0.352094	3.1688	0.00108
4	-0.018381	-0.1654	0.565491
5	0.197664	1.779	0.039498
6	0.187148	1.6843	0.047984
7	0.211576	1.9042	0.030218
8	-0.225	-2.025	0.976919
9	-0.166282	-1.4965	0.9308
10	-0.021619	-0.1946	0.576892
11	0.567209	5.1049	1e-06
12	-0.402845	-3.6256	0.999749
13	-0.001328	-0.012	0.504754
14	-0.106831	-0.9615	0.830412
15	-0.065905	-0.5931	0.722632
16	0.111936	1.0074	0.158366
17	-0.023022	-0.2072	0.581814
18	-0.002757	-0.0248	0.509867
19	0.015137	0.1362	0.445987
20	0.023778	0.214	0.415542
21	-0.014567	-0.1311	0.551992
22	-0.03109	-0.2798	0.609833
23	-0.011711	-0.1054	0.54184
24	0.070373	0.6334	0.264142
25	-0.114893	-1.034	0.847903
26	-0.096514	-0.8686	0.80619
27	-0.091528	-0.8237	0.79375
28	0.045345	0.4081	0.342138
29	-0.140401	-1.2636	0.895002
30	-0.003788	-0.0341	0.513555
31	-0.045985	-0.4139	0.659966
32	-0.021755	-0.1958	0.577371
33	0.049899	0.4491	0.327282
34	0.018733	0.1686	0.433266
35	0.025265	0.2274	0.410347
36	-0.063309	-0.5698	0.714799
37	0.150695	1.3563	0.089393
38	-0.034985	-0.3149	0.623161
39	-0.063026	-0.5672	0.713939
40	-0.114294	-1.0286	0.846647
41	0.017677	0.1591	0.436996
42	-0.122882	-1.1059	0.863987
43	-0.011428	-0.1029	0.540834
44	-0.017999	-0.162	0.564143
45	-0.07403	-0.6663	0.746434
46	0.051422	0.4628	0.322375
47	-0.078419	-0.7058	0.758821

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.218154 & 1.9634 & 0.026516 \tabularnewline
1 & -0.202498 & -1.8225 & 0.963964 \tabularnewline
2 & 0.053533 & 0.4818 & 0.315624 \tabularnewline
3 & 0.352094 & 3.1688 & 0.00108 \tabularnewline
4 & -0.018381 & -0.1654 & 0.565491 \tabularnewline
5 & 0.197664 & 1.779 & 0.039498 \tabularnewline
6 & 0.187148 & 1.6843 & 0.047984 \tabularnewline
7 & 0.211576 & 1.9042 & 0.030218 \tabularnewline
8 & -0.225 & -2.025 & 0.976919 \tabularnewline
9 & -0.166282 & -1.4965 & 0.9308 \tabularnewline
10 & -0.021619 & -0.1946 & 0.576892 \tabularnewline
11 & 0.567209 & 5.1049 & 1e-06 \tabularnewline
12 & -0.402845 & -3.6256 & 0.999749 \tabularnewline
13 & -0.001328 & -0.012 & 0.504754 \tabularnewline
14 & -0.106831 & -0.9615 & 0.830412 \tabularnewline
15 & -0.065905 & -0.5931 & 0.722632 \tabularnewline
16 & 0.111936 & 1.0074 & 0.158366 \tabularnewline
17 & -0.023022 & -0.2072 & 0.581814 \tabularnewline
18 & -0.002757 & -0.0248 & 0.509867 \tabularnewline
19 & 0.015137 & 0.1362 & 0.445987 \tabularnewline
20 & 0.023778 & 0.214 & 0.415542 \tabularnewline
21 & -0.014567 & -0.1311 & 0.551992 \tabularnewline
22 & -0.03109 & -0.2798 & 0.609833 \tabularnewline
23 & -0.011711 & -0.1054 & 0.54184 \tabularnewline
24 & 0.070373 & 0.6334 & 0.264142 \tabularnewline
25 & -0.114893 & -1.034 & 0.847903 \tabularnewline
26 & -0.096514 & -0.8686 & 0.80619 \tabularnewline
27 & -0.091528 & -0.8237 & 0.79375 \tabularnewline
28 & 0.045345 & 0.4081 & 0.342138 \tabularnewline
29 & -0.140401 & -1.2636 & 0.895002 \tabularnewline
30 & -0.003788 & -0.0341 & 0.513555 \tabularnewline
31 & -0.045985 & -0.4139 & 0.659966 \tabularnewline
32 & -0.021755 & -0.1958 & 0.577371 \tabularnewline
33 & 0.049899 & 0.4491 & 0.327282 \tabularnewline
34 & 0.018733 & 0.1686 & 0.433266 \tabularnewline
35 & 0.025265 & 0.2274 & 0.410347 \tabularnewline
36 & -0.063309 & -0.5698 & 0.714799 \tabularnewline
37 & 0.150695 & 1.3563 & 0.089393 \tabularnewline
38 & -0.034985 & -0.3149 & 0.623161 \tabularnewline
39 & -0.063026 & -0.5672 & 0.713939 \tabularnewline
40 & -0.114294 & -1.0286 & 0.846647 \tabularnewline
41 & 0.017677 & 0.1591 & 0.436996 \tabularnewline
42 & -0.122882 & -1.1059 & 0.863987 \tabularnewline
43 & -0.011428 & -0.1029 & 0.540834 \tabularnewline
44 & -0.017999 & -0.162 & 0.564143 \tabularnewline
45 & -0.07403 & -0.6663 & 0.746434 \tabularnewline
46 & 0.051422 & 0.4628 & 0.322375 \tabularnewline
47 & -0.078419 & -0.7058 & 0.758821 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6868&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]0.218154[/C][C]1.9634[/C][C]0.026516[/C][/ROW]
[ROW][C]1[/C][C]-0.202498[/C][C]-1.8225[/C][C]0.963964[/C][/ROW]
[ROW][C]2[/C][C]0.053533[/C][C]0.4818[/C][C]0.315624[/C][/ROW]
[ROW][C]3[/C][C]0.352094[/C][C]3.1688[/C][C]0.00108[/C][/ROW]
[ROW][C]4[/C][C]-0.018381[/C][C]-0.1654[/C][C]0.565491[/C][/ROW]
[ROW][C]5[/C][C]0.197664[/C][C]1.779[/C][C]0.039498[/C][/ROW]
[ROW][C]6[/C][C]0.187148[/C][C]1.6843[/C][C]0.047984[/C][/ROW]
[ROW][C]7[/C][C]0.211576[/C][C]1.9042[/C][C]0.030218[/C][/ROW]
[ROW][C]8[/C][C]-0.225[/C][C]-2.025[/C][C]0.976919[/C][/ROW]
[ROW][C]9[/C][C]-0.166282[/C][C]-1.4965[/C][C]0.9308[/C][/ROW]
[ROW][C]10[/C][C]-0.021619[/C][C]-0.1946[/C][C]0.576892[/C][/ROW]
[ROW][C]11[/C][C]0.567209[/C][C]5.1049[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]-0.402845[/C][C]-3.6256[/C][C]0.999749[/C][/ROW]
[ROW][C]13[/C][C]-0.001328[/C][C]-0.012[/C][C]0.504754[/C][/ROW]
[ROW][C]14[/C][C]-0.106831[/C][C]-0.9615[/C][C]0.830412[/C][/ROW]
[ROW][C]15[/C][C]-0.065905[/C][C]-0.5931[/C][C]0.722632[/C][/ROW]
[ROW][C]16[/C][C]0.111936[/C][C]1.0074[/C][C]0.158366[/C][/ROW]
[ROW][C]17[/C][C]-0.023022[/C][C]-0.2072[/C][C]0.581814[/C][/ROW]
[ROW][C]18[/C][C]-0.002757[/C][C]-0.0248[/C][C]0.509867[/C][/ROW]
[ROW][C]19[/C][C]0.015137[/C][C]0.1362[/C][C]0.445987[/C][/ROW]
[ROW][C]20[/C][C]0.023778[/C][C]0.214[/C][C]0.415542[/C][/ROW]
[ROW][C]21[/C][C]-0.014567[/C][C]-0.1311[/C][C]0.551992[/C][/ROW]
[ROW][C]22[/C][C]-0.03109[/C][C]-0.2798[/C][C]0.609833[/C][/ROW]
[ROW][C]23[/C][C]-0.011711[/C][C]-0.1054[/C][C]0.54184[/C][/ROW]
[ROW][C]24[/C][C]0.070373[/C][C]0.6334[/C][C]0.264142[/C][/ROW]
[ROW][C]25[/C][C]-0.114893[/C][C]-1.034[/C][C]0.847903[/C][/ROW]
[ROW][C]26[/C][C]-0.096514[/C][C]-0.8686[/C][C]0.80619[/C][/ROW]
[ROW][C]27[/C][C]-0.091528[/C][C]-0.8237[/C][C]0.79375[/C][/ROW]
[ROW][C]28[/C][C]0.045345[/C][C]0.4081[/C][C]0.342138[/C][/ROW]
[ROW][C]29[/C][C]-0.140401[/C][C]-1.2636[/C][C]0.895002[/C][/ROW]
[ROW][C]30[/C][C]-0.003788[/C][C]-0.0341[/C][C]0.513555[/C][/ROW]
[ROW][C]31[/C][C]-0.045985[/C][C]-0.4139[/C][C]0.659966[/C][/ROW]
[ROW][C]32[/C][C]-0.021755[/C][C]-0.1958[/C][C]0.577371[/C][/ROW]
[ROW][C]33[/C][C]0.049899[/C][C]0.4491[/C][C]0.327282[/C][/ROW]
[ROW][C]34[/C][C]0.018733[/C][C]0.1686[/C][C]0.433266[/C][/ROW]
[ROW][C]35[/C][C]0.025265[/C][C]0.2274[/C][C]0.410347[/C][/ROW]
[ROW][C]36[/C][C]-0.063309[/C][C]-0.5698[/C][C]0.714799[/C][/ROW]
[ROW][C]37[/C][C]0.150695[/C][C]1.3563[/C][C]0.089393[/C][/ROW]
[ROW][C]38[/C][C]-0.034985[/C][C]-0.3149[/C][C]0.623161[/C][/ROW]
[ROW][C]39[/C][C]-0.063026[/C][C]-0.5672[/C][C]0.713939[/C][/ROW]
[ROW][C]40[/C][C]-0.114294[/C][C]-1.0286[/C][C]0.846647[/C][/ROW]
[ROW][C]41[/C][C]0.017677[/C][C]0.1591[/C][C]0.436996[/C][/ROW]
[ROW][C]42[/C][C]-0.122882[/C][C]-1.1059[/C][C]0.863987[/C][/ROW]
[ROW][C]43[/C][C]-0.011428[/C][C]-0.1029[/C][C]0.540834[/C][/ROW]
[ROW][C]44[/C][C]-0.017999[/C][C]-0.162[/C][C]0.564143[/C][/ROW]
[ROW][C]45[/C][C]-0.07403[/C][C]-0.6663[/C][C]0.746434[/C][/ROW]
[ROW][C]46[/C][C]0.051422[/C][C]0.4628[/C][C]0.322375[/C][/ROW]
[ROW][C]47[/C][C]-0.078419[/C][C]-0.7058[/C][C]0.758821[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6868&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6868&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 k	PACF(k)	T-STAT	P-value
0	0.218154	1.9634	0.026516
1	-0.202498	-1.8225	0.963964
2	0.053533	0.4818	0.315624
3	0.352094	3.1688	0.00108
4	-0.018381	-0.1654	0.565491
5	0.197664	1.779	0.039498
6	0.187148	1.6843	0.047984
7	0.211576	1.9042	0.030218
8	-0.225	-2.025	0.976919
9	-0.166282	-1.4965	0.9308
10	-0.021619	-0.1946	0.576892
11	0.567209	5.1049	1e-06
12	-0.402845	-3.6256	0.999749
13	-0.001328	-0.012	0.504754
14	-0.106831	-0.9615	0.830412
15	-0.065905	-0.5931	0.722632
16	0.111936	1.0074	0.158366
17	-0.023022	-0.2072	0.581814
18	-0.002757	-0.0248	0.509867
19	0.015137	0.1362	0.445987
20	0.023778	0.214	0.415542
21	-0.014567	-0.1311	0.551992
22	-0.03109	-0.2798	0.609833
23	-0.011711	-0.1054	0.54184
24	0.070373	0.6334	0.264142
25	-0.114893	-1.034	0.847903
26	-0.096514	-0.8686	0.80619
27	-0.091528	-0.8237	0.79375
28	0.045345	0.4081	0.342138
29	-0.140401	-1.2636	0.895002
30	-0.003788	-0.0341	0.513555
31	-0.045985	-0.4139	0.659966
32	-0.021755	-0.1958	0.577371
33	0.049899	0.4491	0.327282
34	0.018733	0.1686	0.433266
35	0.025265	0.2274	0.410347
36	-0.063309	-0.5698	0.714799
37	0.150695	1.3563	0.089393
38	-0.034985	-0.3149	0.623161
39	-0.063026	-0.5672	0.713939
40	-0.114294	-1.0286	0.846647
41	0.017677	0.1591	0.436996
42	-0.122882	-1.1059	0.863987
43	-0.011428	-0.1029	0.540834
44	-0.017999	-0.162	0.564143
45	-0.07403	-0.6663	0.746434
46	0.051422	0.4628	0.322375
47	-0.078419	-0.7058	0.758821

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code