Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 13 Dec 2007 06:51:16 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/13/t11975529476xpo00wnc0rdw18.htm/, Retrieved Sun, 05 May 2024 14:33:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3532, Retrieved Sun, 05 May 2024 14:33:04 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

198

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

-       [(Partial) Autocorrelation Function] [] [2007-12-13 13:51:16] [0c12eff582f43eaf43ae2f09e879befe] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

4,2
-7
1,2
-5,8
-4,3
10,9
3,2
3,8
13,1
23,1
4
-2,5
-4,4
0,9
7
1,4
-0,4
-8,6
-7,1
-0,9
5,7
-20,7
2,8
7,4
-4,5
8,1
-0,2
7
8,3
12,9
6,8
7,6
2,7
-0,5
2,9
2,4
12,7
3,9
0,3
5,3
-4,2
-5,9
-0,4
-3
-9,2
6,3
6,4

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=3532&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=3532&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3532&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	5.9161	0
1	0.270215	1.5986	0.059448
2	0.110361	0.6529	0.259043
3	0.208398	1.2329	0.112915
4	0.083263	0.4926	0.312688
5	0.000665	0.0039	0.498442
6	-0.058408	-0.3455	0.634124
7	-0.151006	-0.8934	0.811118
8	-0.293245	-1.7349	0.954218
9	-0.043408	-0.2568	0.600584
10	-0.205556	-1.2161	0.883955
11	-0.205028	-1.213	0.883366
12	-0.362444	-2.1442	0.980481
13	-0.145057	-0.8582	0.801681
14	-0.021244	-0.1257	0.549648
15	-0.141346	-0.8362	0.795646
16	-0.024537	-0.1452	0.557293
17	-0.002277	-0.0135	0.505336
18	-0.006756	-0.04	0.515827
19	0.01011	0.0598	0.476323
20	0.201992	1.195	0.120061
21	0.054253	0.321	0.375074
22	0.149428	0.884	0.191356
23	0.218023	1.2898	0.102782
24	-0.008692	-0.0514	0.52036
25	-0.024113	-0.1427	0.556308
26	-0.007627	-0.0451	0.517866
27	-0.036231	-0.2143	0.584239
28	-0.078864	-0.4666	0.678149
29	-0.021367	-0.1264	0.549934
30	-0.005108	-0.0302	0.511969
31	0.012056	0.0713	0.471773
32	0.033812	0.2	0.421305
33	-0.003987	-0.0236	0.509343
34	-0.006276	-0.0371	0.514703
35	NA	NA	NA
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 5.9161 & 0 \tabularnewline
1 & 0.270215 & 1.5986 & 0.059448 \tabularnewline
2 & 0.110361 & 0.6529 & 0.259043 \tabularnewline
3 & 0.208398 & 1.2329 & 0.112915 \tabularnewline
4 & 0.083263 & 0.4926 & 0.312688 \tabularnewline
5 & 0.000665 & 0.0039 & 0.498442 \tabularnewline
6 & -0.058408 & -0.3455 & 0.634124 \tabularnewline
7 & -0.151006 & -0.8934 & 0.811118 \tabularnewline
8 & -0.293245 & -1.7349 & 0.954218 \tabularnewline
9 & -0.043408 & -0.2568 & 0.600584 \tabularnewline
10 & -0.205556 & -1.2161 & 0.883955 \tabularnewline
11 & -0.205028 & -1.213 & 0.883366 \tabularnewline
12 & -0.362444 & -2.1442 & 0.980481 \tabularnewline
13 & -0.145057 & -0.8582 & 0.801681 \tabularnewline
14 & -0.021244 & -0.1257 & 0.549648 \tabularnewline
15 & -0.141346 & -0.8362 & 0.795646 \tabularnewline
16 & -0.024537 & -0.1452 & 0.557293 \tabularnewline
17 & -0.002277 & -0.0135 & 0.505336 \tabularnewline
18 & -0.006756 & -0.04 & 0.515827 \tabularnewline
19 & 0.01011 & 0.0598 & 0.476323 \tabularnewline
20 & 0.201992 & 1.195 & 0.120061 \tabularnewline
21 & 0.054253 & 0.321 & 0.375074 \tabularnewline
22 & 0.149428 & 0.884 & 0.191356 \tabularnewline
23 & 0.218023 & 1.2898 & 0.102782 \tabularnewline
24 & -0.008692 & -0.0514 & 0.52036 \tabularnewline
25 & -0.024113 & -0.1427 & 0.556308 \tabularnewline
26 & -0.007627 & -0.0451 & 0.517866 \tabularnewline
27 & -0.036231 & -0.2143 & 0.584239 \tabularnewline
28 & -0.078864 & -0.4666 & 0.678149 \tabularnewline
29 & -0.021367 & -0.1264 & 0.549934 \tabularnewline
30 & -0.005108 & -0.0302 & 0.511969 \tabularnewline
31 & 0.012056 & 0.0713 & 0.471773 \tabularnewline
32 & 0.033812 & 0.2 & 0.421305 \tabularnewline
33 & -0.003987 & -0.0236 & 0.509343 \tabularnewline
34 & -0.006276 & -0.0371 & 0.514703 \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=3532&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]0.270215[/C][C]1.5986[/C][C]0.059448[/C][/ROW]
[ROW][C]2[/C][C]0.110361[/C][C]0.6529[/C][C]0.259043[/C][/ROW]
[ROW][C]3[/C][C]0.208398[/C][C]1.2329[/C][C]0.112915[/C][/ROW]
[ROW][C]4[/C][C]0.083263[/C][C]0.4926[/C][C]0.312688[/C][/ROW]
[ROW][C]5[/C][C]0.000665[/C][C]0.0039[/C][C]0.498442[/C][/ROW]
[ROW][C]6[/C][C]-0.058408[/C][C]-0.3455[/C][C]0.634124[/C][/ROW]
[ROW][C]7[/C][C]-0.151006[/C][C]-0.8934[/C][C]0.811118[/C][/ROW]
[ROW][C]8[/C][C]-0.293245[/C][C]-1.7349[/C][C]0.954218[/C][/ROW]
[ROW][C]9[/C][C]-0.043408[/C][C]-0.2568[/C][C]0.600584[/C][/ROW]
[ROW][C]10[/C][C]-0.205556[/C][C]-1.2161[/C][C]0.883955[/C][/ROW]
[ROW][C]11[/C][C]-0.205028[/C][C]-1.213[/C][C]0.883366[/C][/ROW]
[ROW][C]12[/C][C]-0.362444[/C][C]-2.1442[/C][C]0.980481[/C][/ROW]
[ROW][C]13[/C][C]-0.145057[/C][C]-0.8582[/C][C]0.801681[/C][/ROW]
[ROW][C]14[/C][C]-0.021244[/C][C]-0.1257[/C][C]0.549648[/C][/ROW]
[ROW][C]15[/C][C]-0.141346[/C][C]-0.8362[/C][C]0.795646[/C][/ROW]
[ROW][C]16[/C][C]-0.024537[/C][C]-0.1452[/C][C]0.557293[/C][/ROW]
[ROW][C]17[/C][C]-0.002277[/C][C]-0.0135[/C][C]0.505336[/C][/ROW]
[ROW][C]18[/C][C]-0.006756[/C][C]-0.04[/C][C]0.515827[/C][/ROW]
[ROW][C]19[/C][C]0.01011[/C][C]0.0598[/C][C]0.476323[/C][/ROW]
[ROW][C]20[/C][C]0.201992[/C][C]1.195[/C][C]0.120061[/C][/ROW]
[ROW][C]21[/C][C]0.054253[/C][C]0.321[/C][C]0.375074[/C][/ROW]
[ROW][C]22[/C][C]0.149428[/C][C]0.884[/C][C]0.191356[/C][/ROW]
[ROW][C]23[/C][C]0.218023[/C][C]1.2898[/C][C]0.102782[/C][/ROW]
[ROW][C]24[/C][C]-0.008692[/C][C]-0.0514[/C][C]0.52036[/C][/ROW]
[ROW][C]25[/C][C]-0.024113[/C][C]-0.1427[/C][C]0.556308[/C][/ROW]
[ROW][C]26[/C][C]-0.007627[/C][C]-0.0451[/C][C]0.517866[/C][/ROW]
[ROW][C]27[/C][C]-0.036231[/C][C]-0.2143[/C][C]0.584239[/C][/ROW]
[ROW][C]28[/C][C]-0.078864[/C][C]-0.4666[/C][C]0.678149[/C][/ROW]
[ROW][C]29[/C][C]-0.021367[/C][C]-0.1264[/C][C]0.549934[/C][/ROW]
[ROW][C]30[/C][C]-0.005108[/C][C]-0.0302[/C][C]0.511969[/C][/ROW]
[ROW][C]31[/C][C]0.012056[/C][C]0.0713[/C][C]0.471773[/C][/ROW]
[ROW][C]32[/C][C]0.033812[/C][C]0.2[/C][C]0.421305[/C][/ROW]
[ROW][C]33[/C][C]-0.003987[/C][C]-0.0236[/C][C]0.509343[/C][/ROW]
[ROW][C]34[/C][C]-0.006276[/C][C]-0.0371[/C][C]0.514703[/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=3532&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3532&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	5.9161	0
1	0.270215	1.5986	0.059448
2	0.110361	0.6529	0.259043
3	0.208398	1.2329	0.112915
4	0.083263	0.4926	0.312688
5	0.000665	0.0039	0.498442
6	-0.058408	-0.3455	0.634124
7	-0.151006	-0.8934	0.811118
8	-0.293245	-1.7349	0.954218
9	-0.043408	-0.2568	0.600584
10	-0.205556	-1.2161	0.883955
11	-0.205028	-1.213	0.883366
12	-0.362444	-2.1442	0.980481
13	-0.145057	-0.8582	0.801681
14	-0.021244	-0.1257	0.549648
15	-0.141346	-0.8362	0.795646
16	-0.024537	-0.1452	0.557293
17	-0.002277	-0.0135	0.505336
18	-0.006756	-0.04	0.515827
19	0.01011	0.0598	0.476323
20	0.201992	1.195	0.120061
21	0.054253	0.321	0.375074
22	0.149428	0.884	0.191356
23	0.218023	1.2898	0.102782
24	-0.008692	-0.0514	0.52036
25	-0.024113	-0.1427	0.556308
26	-0.007627	-0.0451	0.517866
27	-0.036231	-0.2143	0.584239
28	-0.078864	-0.4666	0.678149
29	-0.021367	-0.1264	0.549934
30	-0.005108	-0.0302	0.511969
31	0.012056	0.0713	0.471773
32	0.033812	0.2	0.421305
33	-0.003987	-0.0236	0.509343
34	-0.006276	-0.0371	0.514703
35	NA	NA	NA
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.270215	1.5986	0.059448
1	0.040286	0.2383	0.406506
2	0.182492	1.0796	0.143844
3	-0.019878	-0.1176	0.546471
4	-0.038514	-0.2278	0.589456
5	-0.096401	-0.5703	0.713946
6	-0.139883	-0.8276	0.793236
7	-0.244101	-1.4441	0.921201
8	0.135106	0.7993	0.214755
9	-0.18388	-1.0878	0.857951
10	-0.005109	-0.0302	0.511971
11	-0.392695	-2.3232	0.986949
12	0.115979	0.6861	0.248572
13	-0.053437	-0.3161	0.623111
14	-0.03936	-0.2329	0.591385
15	-0.065678	-0.3886	0.650022
16	0.018407	0.1089	0.456954
17	-0.205146	-1.2137	0.883498
18	-0.010505	-0.0622	0.524602
19	-0.019301	-0.1142	0.545129
20	0.081082	0.4797	0.317217
21	0.005338	0.0316	0.487494
22	0.045123	0.2669	0.395538
23	-0.298893	-1.7683	0.957134
24	-0.068377	-0.4045	0.655856
25	-0.158503	-0.9377	0.822592
26	0.004733	0.028	0.488911
27	-0.063763	-0.3772	0.645858
28	0.031372	0.1856	0.426916
29	-0.032157	-0.1902	0.574891
30	-0.002403	-0.0142	0.505631
31	-0.021331	-0.1262	0.54985
32	-0.002732	-0.0162	0.506402
33	-0.037539	-0.2221	0.58723
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.270215 & 1.5986 & 0.059448 \tabularnewline
1 & 0.040286 & 0.2383 & 0.406506 \tabularnewline
2 & 0.182492 & 1.0796 & 0.143844 \tabularnewline
3 & -0.019878 & -0.1176 & 0.546471 \tabularnewline
4 & -0.038514 & -0.2278 & 0.589456 \tabularnewline
5 & -0.096401 & -0.5703 & 0.713946 \tabularnewline
6 & -0.139883 & -0.8276 & 0.793236 \tabularnewline
7 & -0.244101 & -1.4441 & 0.921201 \tabularnewline
8 & 0.135106 & 0.7993 & 0.214755 \tabularnewline
9 & -0.18388 & -1.0878 & 0.857951 \tabularnewline
10 & -0.005109 & -0.0302 & 0.511971 \tabularnewline
11 & -0.392695 & -2.3232 & 0.986949 \tabularnewline
12 & 0.115979 & 0.6861 & 0.248572 \tabularnewline
13 & -0.053437 & -0.3161 & 0.623111 \tabularnewline
14 & -0.03936 & -0.2329 & 0.591385 \tabularnewline
15 & -0.065678 & -0.3886 & 0.650022 \tabularnewline
16 & 0.018407 & 0.1089 & 0.456954 \tabularnewline
17 & -0.205146 & -1.2137 & 0.883498 \tabularnewline
18 & -0.010505 & -0.0622 & 0.524602 \tabularnewline
19 & -0.019301 & -0.1142 & 0.545129 \tabularnewline
20 & 0.081082 & 0.4797 & 0.317217 \tabularnewline
21 & 0.005338 & 0.0316 & 0.487494 \tabularnewline
22 & 0.045123 & 0.2669 & 0.395538 \tabularnewline
23 & -0.298893 & -1.7683 & 0.957134 \tabularnewline
24 & -0.068377 & -0.4045 & 0.655856 \tabularnewline
25 & -0.158503 & -0.9377 & 0.822592 \tabularnewline
26 & 0.004733 & 0.028 & 0.488911 \tabularnewline
27 & -0.063763 & -0.3772 & 0.645858 \tabularnewline
28 & 0.031372 & 0.1856 & 0.426916 \tabularnewline
29 & -0.032157 & -0.1902 & 0.574891 \tabularnewline
30 & -0.002403 & -0.0142 & 0.505631 \tabularnewline
31 & -0.021331 & -0.1262 & 0.54985 \tabularnewline
32 & -0.002732 & -0.0162 & 0.506402 \tabularnewline
33 & -0.037539 & -0.2221 & 0.58723 \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=3532&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]0.270215[/C][C]1.5986[/C][C]0.059448[/C][/ROW]
[ROW][C]1[/C][C]0.040286[/C][C]0.2383[/C][C]0.406506[/C][/ROW]
[ROW][C]2[/C][C]0.182492[/C][C]1.0796[/C][C]0.143844[/C][/ROW]
[ROW][C]3[/C][C]-0.019878[/C][C]-0.1176[/C][C]0.546471[/C][/ROW]
[ROW][C]4[/C][C]-0.038514[/C][C]-0.2278[/C][C]0.589456[/C][/ROW]
[ROW][C]5[/C][C]-0.096401[/C][C]-0.5703[/C][C]0.713946[/C][/ROW]
[ROW][C]6[/C][C]-0.139883[/C][C]-0.8276[/C][C]0.793236[/C][/ROW]
[ROW][C]7[/C][C]-0.244101[/C][C]-1.4441[/C][C]0.921201[/C][/ROW]
[ROW][C]8[/C][C]0.135106[/C][C]0.7993[/C][C]0.214755[/C][/ROW]
[ROW][C]9[/C][C]-0.18388[/C][C]-1.0878[/C][C]0.857951[/C][/ROW]
[ROW][C]10[/C][C]-0.005109[/C][C]-0.0302[/C][C]0.511971[/C][/ROW]
[ROW][C]11[/C][C]-0.392695[/C][C]-2.3232[/C][C]0.986949[/C][/ROW]
[ROW][C]12[/C][C]0.115979[/C][C]0.6861[/C][C]0.248572[/C][/ROW]
[ROW][C]13[/C][C]-0.053437[/C][C]-0.3161[/C][C]0.623111[/C][/ROW]
[ROW][C]14[/C][C]-0.03936[/C][C]-0.2329[/C][C]0.591385[/C][/ROW]
[ROW][C]15[/C][C]-0.065678[/C][C]-0.3886[/C][C]0.650022[/C][/ROW]
[ROW][C]16[/C][C]0.018407[/C][C]0.1089[/C][C]0.456954[/C][/ROW]
[ROW][C]17[/C][C]-0.205146[/C][C]-1.2137[/C][C]0.883498[/C][/ROW]
[ROW][C]18[/C][C]-0.010505[/C][C]-0.0622[/C][C]0.524602[/C][/ROW]
[ROW][C]19[/C][C]-0.019301[/C][C]-0.1142[/C][C]0.545129[/C][/ROW]
[ROW][C]20[/C][C]0.081082[/C][C]0.4797[/C][C]0.317217[/C][/ROW]
[ROW][C]21[/C][C]0.005338[/C][C]0.0316[/C][C]0.487494[/C][/ROW]
[ROW][C]22[/C][C]0.045123[/C][C]0.2669[/C][C]0.395538[/C][/ROW]
[ROW][C]23[/C][C]-0.298893[/C][C]-1.7683[/C][C]0.957134[/C][/ROW]
[ROW][C]24[/C][C]-0.068377[/C][C]-0.4045[/C][C]0.655856[/C][/ROW]
[ROW][C]25[/C][C]-0.158503[/C][C]-0.9377[/C][C]0.822592[/C][/ROW]
[ROW][C]26[/C][C]0.004733[/C][C]0.028[/C][C]0.488911[/C][/ROW]
[ROW][C]27[/C][C]-0.063763[/C][C]-0.3772[/C][C]0.645858[/C][/ROW]
[ROW][C]28[/C][C]0.031372[/C][C]0.1856[/C][C]0.426916[/C][/ROW]
[ROW][C]29[/C][C]-0.032157[/C][C]-0.1902[/C][C]0.574891[/C][/ROW]
[ROW][C]30[/C][C]-0.002403[/C][C]-0.0142[/C][C]0.505631[/C][/ROW]
[ROW][C]31[/C][C]-0.021331[/C][C]-0.1262[/C][C]0.54985[/C][/ROW]
[ROW][C]32[/C][C]-0.002732[/C][C]-0.0162[/C][C]0.506402[/C][/ROW]
[ROW][C]33[/C][C]-0.037539[/C][C]-0.2221[/C][C]0.58723[/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=3532&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3532&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	0.270215	1.5986	0.059448
1	0.040286	0.2383	0.406506
2	0.182492	1.0796	0.143844
3	-0.019878	-0.1176	0.546471
4	-0.038514	-0.2278	0.589456
5	-0.096401	-0.5703	0.713946
6	-0.139883	-0.8276	0.793236
7	-0.244101	-1.4441	0.921201
8	0.135106	0.7993	0.214755
9	-0.18388	-1.0878	0.857951
10	-0.005109	-0.0302	0.511971
11	-0.392695	-2.3232	0.986949
12	0.115979	0.6861	0.248572
13	-0.053437	-0.3161	0.623111
14	-0.03936	-0.2329	0.591385
15	-0.065678	-0.3886	0.650022
16	0.018407	0.1089	0.456954
17	-0.205146	-1.2137	0.883498
18	-0.010505	-0.0622	0.524602
19	-0.019301	-0.1142	0.545129
20	0.081082	0.4797	0.317217
21	0.005338	0.0316	0.487494
22	0.045123	0.2669	0.395538
23	-0.298893	-1.7683	0.957134
24	-0.068377	-0.4045	0.655856
25	-0.158503	-0.9377	0.822592
26	0.004733	0.028	0.488911
27	-0.063763	-0.3772	0.645858
28	0.031372	0.1856	0.426916
29	-0.032157	-0.1902	0.574891
30	-0.002403	-0.0142	0.505631
31	-0.021331	-0.1262	0.54985
32	-0.002732	-0.0162	0.506402
33	-0.037539	-0.2221	0.58723
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA

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 = 1 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code