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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 29 Dec 2010 19:26:04 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/29/t129365064884fb56aeo99q8td.htm/, Retrieved Fri, 03 May 2024 09:04:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=117058, Retrieved Fri, 03 May 2024 09:04:27 +0000

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User-defined keywords

Estimated Impact

188

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [Unemployment] [2010-11-29 09:05:21] [b98453cac15ba1066b407e146608df68]
-    D    [(Partial) Autocorrelation Function] [Workshop 6 'Aanta...] [2010-12-14 16:26:00] [40c8b935cbad1b0be3c22a481f9723f7]
-           [(Partial) Autocorrelation Function] [] [2010-12-16 00:41:10] [bcc4ad4a6c0f95d5b548de29638ac6c2]
-   P         [(Partial) Autocorrelation Function] [] [2010-12-16 01:31:32] [bcc4ad4a6c0f95d5b548de29638ac6c2]
-               [(Partial) Autocorrelation Function] [ACF] [2010-12-16 17:57:21] [f1aa04283d83c25edc8ae3bb0d0fb93e]
-    D            [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-27 14:52:24] [f1aa04283d83c25edc8ae3bb0d0fb93e]
-   P               [(Partial) Autocorrelation Function] [model A] [2010-12-29 11:03:25] [99820e5c3330fe494c612533a1ea567a]
-                       [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-29 19:26:04] [cfea828c93f35e07cca4521b1fb38047] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ www.wessa.org

\begin{tabular}{lllllllll}
\hline
Summary of computational 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' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117058&T=0

[TABLE]
[ROW][C]Summary of computational 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' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117058&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117058&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 computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ www.wessa.org

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.061301	0.4203	0.338106
2	0.198398	1.3602	0.090135
3	0.420398	2.8821	0.002969
4	0.003998	0.0274	0.489124
5	0.085897	0.5889	0.279382
6	0.182415	1.2506	0.10864
7	0.023025	0.1578	0.437626
8	0.022223	0.1524	0.439779
9	0.035524	0.2435	0.404324
10	-0.147105	-1.0085	0.159189
11	-0.089968	-0.6168	0.270174
12	-0.24711	-1.6941	0.048432
13	-0.045264	-0.3103	0.378848
14	-0.053791	-0.3688	0.356976
15	-0.130796	-0.8967	0.187226
16	-0.044225	-0.3032	0.38154
17	0.03889	0.2666	0.395467
18	-0.223191	-1.5301	0.066345
19	-0.051024	-0.3498	0.364023
20	0.007209	0.0494	0.480396
21	-0.192159	-1.3174	0.097049
22	-0.009731	-0.0667	0.473548
23	0.036918	0.2531	0.400649
24	-0.171125	-1.1732	0.123319
25	-0.037932	-0.26	0.397981
26	-0.080997	-0.5553	0.290666
27	-0.126847	-0.8696	0.194464
28	0.112521	0.7714	0.222165
29	-0.108675	-0.745	0.229978
30	0.009125	0.0626	0.475193
31	0.062232	0.4266	0.335794
32	-0.074951	-0.5138	0.304887
33	0.026351	0.1807	0.428707
34	-0.034146	-0.2341	0.407964
35	-0.035396	-0.2427	0.40466
36	0.075575	0.5181	0.303404
37	0.001156	0.0079	0.496854
38	0.00488	0.0335	0.486727
39	0.001219	0.0084	0.496683
40	-0.005671	-0.0389	0.484577
41	-0.008933	-0.0612	0.475713
42	-0.014833	-0.1017	0.459718
43	-0.003823	-0.0262	0.489602
44	0.005758	0.0395	0.484339
45	0.013789	0.0945	0.462544
46	0.008893	0.061	0.475822
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.061301 & 0.4203 & 0.338106 \tabularnewline
2 & 0.198398 & 1.3602 & 0.090135 \tabularnewline
3 & 0.420398 & 2.8821 & 0.002969 \tabularnewline
4 & 0.003998 & 0.0274 & 0.489124 \tabularnewline
5 & 0.085897 & 0.5889 & 0.279382 \tabularnewline
6 & 0.182415 & 1.2506 & 0.10864 \tabularnewline
7 & 0.023025 & 0.1578 & 0.437626 \tabularnewline
8 & 0.022223 & 0.1524 & 0.439779 \tabularnewline
9 & 0.035524 & 0.2435 & 0.404324 \tabularnewline
10 & -0.147105 & -1.0085 & 0.159189 \tabularnewline
11 & -0.089968 & -0.6168 & 0.270174 \tabularnewline
12 & -0.24711 & -1.6941 & 0.048432 \tabularnewline
13 & -0.045264 & -0.3103 & 0.378848 \tabularnewline
14 & -0.053791 & -0.3688 & 0.356976 \tabularnewline
15 & -0.130796 & -0.8967 & 0.187226 \tabularnewline
16 & -0.044225 & -0.3032 & 0.38154 \tabularnewline
17 & 0.03889 & 0.2666 & 0.395467 \tabularnewline
18 & -0.223191 & -1.5301 & 0.066345 \tabularnewline
19 & -0.051024 & -0.3498 & 0.364023 \tabularnewline
20 & 0.007209 & 0.0494 & 0.480396 \tabularnewline
21 & -0.192159 & -1.3174 & 0.097049 \tabularnewline
22 & -0.009731 & -0.0667 & 0.473548 \tabularnewline
23 & 0.036918 & 0.2531 & 0.400649 \tabularnewline
24 & -0.171125 & -1.1732 & 0.123319 \tabularnewline
25 & -0.037932 & -0.26 & 0.397981 \tabularnewline
26 & -0.080997 & -0.5553 & 0.290666 \tabularnewline
27 & -0.126847 & -0.8696 & 0.194464 \tabularnewline
28 & 0.112521 & 0.7714 & 0.222165 \tabularnewline
29 & -0.108675 & -0.745 & 0.229978 \tabularnewline
30 & 0.009125 & 0.0626 & 0.475193 \tabularnewline
31 & 0.062232 & 0.4266 & 0.335794 \tabularnewline
32 & -0.074951 & -0.5138 & 0.304887 \tabularnewline
33 & 0.026351 & 0.1807 & 0.428707 \tabularnewline
34 & -0.034146 & -0.2341 & 0.407964 \tabularnewline
35 & -0.035396 & -0.2427 & 0.40466 \tabularnewline
36 & 0.075575 & 0.5181 & 0.303404 \tabularnewline
37 & 0.001156 & 0.0079 & 0.496854 \tabularnewline
38 & 0.00488 & 0.0335 & 0.486727 \tabularnewline
39 & 0.001219 & 0.0084 & 0.496683 \tabularnewline
40 & -0.005671 & -0.0389 & 0.484577 \tabularnewline
41 & -0.008933 & -0.0612 & 0.475713 \tabularnewline
42 & -0.014833 & -0.1017 & 0.459718 \tabularnewline
43 & -0.003823 & -0.0262 & 0.489602 \tabularnewline
44 & 0.005758 & 0.0395 & 0.484339 \tabularnewline
45 & 0.013789 & 0.0945 & 0.462544 \tabularnewline
46 & 0.008893 & 0.061 & 0.475822 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117058&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]1[/C][C]0.061301[/C][C]0.4203[/C][C]0.338106[/C][/ROW]
[ROW][C]2[/C][C]0.198398[/C][C]1.3602[/C][C]0.090135[/C][/ROW]
[ROW][C]3[/C][C]0.420398[/C][C]2.8821[/C][C]0.002969[/C][/ROW]
[ROW][C]4[/C][C]0.003998[/C][C]0.0274[/C][C]0.489124[/C][/ROW]
[ROW][C]5[/C][C]0.085897[/C][C]0.5889[/C][C]0.279382[/C][/ROW]
[ROW][C]6[/C][C]0.182415[/C][C]1.2506[/C][C]0.10864[/C][/ROW]
[ROW][C]7[/C][C]0.023025[/C][C]0.1578[/C][C]0.437626[/C][/ROW]
[ROW][C]8[/C][C]0.022223[/C][C]0.1524[/C][C]0.439779[/C][/ROW]
[ROW][C]9[/C][C]0.035524[/C][C]0.2435[/C][C]0.404324[/C][/ROW]
[ROW][C]10[/C][C]-0.147105[/C][C]-1.0085[/C][C]0.159189[/C][/ROW]
[ROW][C]11[/C][C]-0.089968[/C][C]-0.6168[/C][C]0.270174[/C][/ROW]
[ROW][C]12[/C][C]-0.24711[/C][C]-1.6941[/C][C]0.048432[/C][/ROW]
[ROW][C]13[/C][C]-0.045264[/C][C]-0.3103[/C][C]0.378848[/C][/ROW]
[ROW][C]14[/C][C]-0.053791[/C][C]-0.3688[/C][C]0.356976[/C][/ROW]
[ROW][C]15[/C][C]-0.130796[/C][C]-0.8967[/C][C]0.187226[/C][/ROW]
[ROW][C]16[/C][C]-0.044225[/C][C]-0.3032[/C][C]0.38154[/C][/ROW]
[ROW][C]17[/C][C]0.03889[/C][C]0.2666[/C][C]0.395467[/C][/ROW]
[ROW][C]18[/C][C]-0.223191[/C][C]-1.5301[/C][C]0.066345[/C][/ROW]
[ROW][C]19[/C][C]-0.051024[/C][C]-0.3498[/C][C]0.364023[/C][/ROW]
[ROW][C]20[/C][C]0.007209[/C][C]0.0494[/C][C]0.480396[/C][/ROW]
[ROW][C]21[/C][C]-0.192159[/C][C]-1.3174[/C][C]0.097049[/C][/ROW]
[ROW][C]22[/C][C]-0.009731[/C][C]-0.0667[/C][C]0.473548[/C][/ROW]
[ROW][C]23[/C][C]0.036918[/C][C]0.2531[/C][C]0.400649[/C][/ROW]
[ROW][C]24[/C][C]-0.171125[/C][C]-1.1732[/C][C]0.123319[/C][/ROW]
[ROW][C]25[/C][C]-0.037932[/C][C]-0.26[/C][C]0.397981[/C][/ROW]
[ROW][C]26[/C][C]-0.080997[/C][C]-0.5553[/C][C]0.290666[/C][/ROW]
[ROW][C]27[/C][C]-0.126847[/C][C]-0.8696[/C][C]0.194464[/C][/ROW]
[ROW][C]28[/C][C]0.112521[/C][C]0.7714[/C][C]0.222165[/C][/ROW]
[ROW][C]29[/C][C]-0.108675[/C][C]-0.745[/C][C]0.229978[/C][/ROW]
[ROW][C]30[/C][C]0.009125[/C][C]0.0626[/C][C]0.475193[/C][/ROW]
[ROW][C]31[/C][C]0.062232[/C][C]0.4266[/C][C]0.335794[/C][/ROW]
[ROW][C]32[/C][C]-0.074951[/C][C]-0.5138[/C][C]0.304887[/C][/ROW]
[ROW][C]33[/C][C]0.026351[/C][C]0.1807[/C][C]0.428707[/C][/ROW]
[ROW][C]34[/C][C]-0.034146[/C][C]-0.2341[/C][C]0.407964[/C][/ROW]
[ROW][C]35[/C][C]-0.035396[/C][C]-0.2427[/C][C]0.40466[/C][/ROW]
[ROW][C]36[/C][C]0.075575[/C][C]0.5181[/C][C]0.303404[/C][/ROW]
[ROW][C]37[/C][C]0.001156[/C][C]0.0079[/C][C]0.496854[/C][/ROW]
[ROW][C]38[/C][C]0.00488[/C][C]0.0335[/C][C]0.486727[/C][/ROW]
[ROW][C]39[/C][C]0.001219[/C][C]0.0084[/C][C]0.496683[/C][/ROW]
[ROW][C]40[/C][C]-0.005671[/C][C]-0.0389[/C][C]0.484577[/C][/ROW]
[ROW][C]41[/C][C]-0.008933[/C][C]-0.0612[/C][C]0.475713[/C][/ROW]
[ROW][C]42[/C][C]-0.014833[/C][C]-0.1017[/C][C]0.459718[/C][/ROW]
[ROW][C]43[/C][C]-0.003823[/C][C]-0.0262[/C][C]0.489602[/C][/ROW]
[ROW][C]44[/C][C]0.005758[/C][C]0.0395[/C][C]0.484339[/C][/ROW]
[ROW][C]45[/C][C]0.013789[/C][C]0.0945[/C][C]0.462544[/C][/ROW]
[ROW][C]46[/C][C]0.008893[/C][C]0.061[/C][C]0.475822[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117058&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117058&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
1	0.061301	0.4203	0.338106
2	0.198398	1.3602	0.090135
3	0.420398	2.8821	0.002969
4	0.003998	0.0274	0.489124
5	0.085897	0.5889	0.279382
6	0.182415	1.2506	0.10864
7	0.023025	0.1578	0.437626
8	0.022223	0.1524	0.439779
9	0.035524	0.2435	0.404324
10	-0.147105	-1.0085	0.159189
11	-0.089968	-0.6168	0.270174
12	-0.24711	-1.6941	0.048432
13	-0.045264	-0.3103	0.378848
14	-0.053791	-0.3688	0.356976
15	-0.130796	-0.8967	0.187226
16	-0.044225	-0.3032	0.38154
17	0.03889	0.2666	0.395467
18	-0.223191	-1.5301	0.066345
19	-0.051024	-0.3498	0.364023
20	0.007209	0.0494	0.480396
21	-0.192159	-1.3174	0.097049
22	-0.009731	-0.0667	0.473548
23	0.036918	0.2531	0.400649
24	-0.171125	-1.1732	0.123319
25	-0.037932	-0.26	0.397981
26	-0.080997	-0.5553	0.290666
27	-0.126847	-0.8696	0.194464
28	0.112521	0.7714	0.222165
29	-0.108675	-0.745	0.229978
30	0.009125	0.0626	0.475193
31	0.062232	0.4266	0.335794
32	-0.074951	-0.5138	0.304887
33	0.026351	0.1807	0.428707
34	-0.034146	-0.2341	0.407964
35	-0.035396	-0.2427	0.40466
36	0.075575	0.5181	0.303404
37	0.001156	0.0079	0.496854
38	0.00488	0.0335	0.486727
39	0.001219	0.0084	0.496683
40	-0.005671	-0.0389	0.484577
41	-0.008933	-0.0612	0.475713
42	-0.014833	-0.1017	0.459718
43	-0.003823	-0.0262	0.489602
44	0.005758	0.0395	0.484339
45	0.013789	0.0945	0.462544
46	0.008893	0.061	0.475822
47	NA	NA	NA
48	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.061301	0.4203	0.338106
2	0.195375	1.3394	0.093437
3	0.416019	2.8521	0.003218
4	-0.053965	-0.37	0.356534
5	-0.089142	-0.6111	0.27203
6	0.022997	0.1577	0.437702
7	0.058543	0.4014	0.344989
8	-0.02637	-0.1808	0.428656
9	-0.078169	-0.5359	0.297278
10	-0.203841	-1.3975	0.084418
11	-0.098572	-0.6758	0.251247
12	-0.242718	-1.664	0.051384
13	0.131345	0.9005	0.186234
14	0.148316	1.0168	0.157226
15	0.075862	0.5201	0.302724
16	-0.100718	-0.6905	0.246641
17	0.098012	0.6719	0.252456
18	-0.150282	-1.0303	0.154075
19	-0.03725	-0.2554	0.399775
20	-0.03574	-0.245	0.403753
21	-0.066759	-0.4577	0.324647
22	-0.137833	-0.9449	0.174762
23	0.032119	0.2202	0.413337
24	-0.113392	-0.7774	0.220415
25	0.04614	0.3163	0.376581
26	-0.109369	-0.7498	0.228558
27	0.07251	0.4971	0.310717
28	0.213746	1.4654	0.074739
29	0.0088	0.0603	0.476074
30	-0.138445	-0.9491	0.173704
31	-0.061557	-0.422	0.33747
32	-0.04741	-0.325	0.373302
33	0.009066	0.0622	0.475352
34	-0.174618	-1.1971	0.118632
35	0.011031	0.0756	0.470018
36	-0.034349	-0.2355	0.407427
37	0.012668	0.0868	0.465581
38	0.046675	0.32	0.375198
39	0.016805	0.1152	0.454385
40	0.062635	0.4294	0.334796
41	0.014519	0.0995	0.460569
42	-0.065617	-0.4498	0.327444
43	-0.027478	-0.1884	0.425695
44	-0.103722	-0.7111	0.240273
45	-0.10587	-0.7258	0.235777
46	-0.001476	-0.0101	0.495986
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.061301 & 0.4203 & 0.338106 \tabularnewline
2 & 0.195375 & 1.3394 & 0.093437 \tabularnewline
3 & 0.416019 & 2.8521 & 0.003218 \tabularnewline
4 & -0.053965 & -0.37 & 0.356534 \tabularnewline
5 & -0.089142 & -0.6111 & 0.27203 \tabularnewline
6 & 0.022997 & 0.1577 & 0.437702 \tabularnewline
7 & 0.058543 & 0.4014 & 0.344989 \tabularnewline
8 & -0.02637 & -0.1808 & 0.428656 \tabularnewline
9 & -0.078169 & -0.5359 & 0.297278 \tabularnewline
10 & -0.203841 & -1.3975 & 0.084418 \tabularnewline
11 & -0.098572 & -0.6758 & 0.251247 \tabularnewline
12 & -0.242718 & -1.664 & 0.051384 \tabularnewline
13 & 0.131345 & 0.9005 & 0.186234 \tabularnewline
14 & 0.148316 & 1.0168 & 0.157226 \tabularnewline
15 & 0.075862 & 0.5201 & 0.302724 \tabularnewline
16 & -0.100718 & -0.6905 & 0.246641 \tabularnewline
17 & 0.098012 & 0.6719 & 0.252456 \tabularnewline
18 & -0.150282 & -1.0303 & 0.154075 \tabularnewline
19 & -0.03725 & -0.2554 & 0.399775 \tabularnewline
20 & -0.03574 & -0.245 & 0.403753 \tabularnewline
21 & -0.066759 & -0.4577 & 0.324647 \tabularnewline
22 & -0.137833 & -0.9449 & 0.174762 \tabularnewline
23 & 0.032119 & 0.2202 & 0.413337 \tabularnewline
24 & -0.113392 & -0.7774 & 0.220415 \tabularnewline
25 & 0.04614 & 0.3163 & 0.376581 \tabularnewline
26 & -0.109369 & -0.7498 & 0.228558 \tabularnewline
27 & 0.07251 & 0.4971 & 0.310717 \tabularnewline
28 & 0.213746 & 1.4654 & 0.074739 \tabularnewline
29 & 0.0088 & 0.0603 & 0.476074 \tabularnewline
30 & -0.138445 & -0.9491 & 0.173704 \tabularnewline
31 & -0.061557 & -0.422 & 0.33747 \tabularnewline
32 & -0.04741 & -0.325 & 0.373302 \tabularnewline
33 & 0.009066 & 0.0622 & 0.475352 \tabularnewline
34 & -0.174618 & -1.1971 & 0.118632 \tabularnewline
35 & 0.011031 & 0.0756 & 0.470018 \tabularnewline
36 & -0.034349 & -0.2355 & 0.407427 \tabularnewline
37 & 0.012668 & 0.0868 & 0.465581 \tabularnewline
38 & 0.046675 & 0.32 & 0.375198 \tabularnewline
39 & 0.016805 & 0.1152 & 0.454385 \tabularnewline
40 & 0.062635 & 0.4294 & 0.334796 \tabularnewline
41 & 0.014519 & 0.0995 & 0.460569 \tabularnewline
42 & -0.065617 & -0.4498 & 0.327444 \tabularnewline
43 & -0.027478 & -0.1884 & 0.425695 \tabularnewline
44 & -0.103722 & -0.7111 & 0.240273 \tabularnewline
45 & -0.10587 & -0.7258 & 0.235777 \tabularnewline
46 & -0.001476 & -0.0101 & 0.495986 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117058&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]1[/C][C]0.061301[/C][C]0.4203[/C][C]0.338106[/C][/ROW]
[ROW][C]2[/C][C]0.195375[/C][C]1.3394[/C][C]0.093437[/C][/ROW]
[ROW][C]3[/C][C]0.416019[/C][C]2.8521[/C][C]0.003218[/C][/ROW]
[ROW][C]4[/C][C]-0.053965[/C][C]-0.37[/C][C]0.356534[/C][/ROW]
[ROW][C]5[/C][C]-0.089142[/C][C]-0.6111[/C][C]0.27203[/C][/ROW]
[ROW][C]6[/C][C]0.022997[/C][C]0.1577[/C][C]0.437702[/C][/ROW]
[ROW][C]7[/C][C]0.058543[/C][C]0.4014[/C][C]0.344989[/C][/ROW]
[ROW][C]8[/C][C]-0.02637[/C][C]-0.1808[/C][C]0.428656[/C][/ROW]
[ROW][C]9[/C][C]-0.078169[/C][C]-0.5359[/C][C]0.297278[/C][/ROW]
[ROW][C]10[/C][C]-0.203841[/C][C]-1.3975[/C][C]0.084418[/C][/ROW]
[ROW][C]11[/C][C]-0.098572[/C][C]-0.6758[/C][C]0.251247[/C][/ROW]
[ROW][C]12[/C][C]-0.242718[/C][C]-1.664[/C][C]0.051384[/C][/ROW]
[ROW][C]13[/C][C]0.131345[/C][C]0.9005[/C][C]0.186234[/C][/ROW]
[ROW][C]14[/C][C]0.148316[/C][C]1.0168[/C][C]0.157226[/C][/ROW]
[ROW][C]15[/C][C]0.075862[/C][C]0.5201[/C][C]0.302724[/C][/ROW]
[ROW][C]16[/C][C]-0.100718[/C][C]-0.6905[/C][C]0.246641[/C][/ROW]
[ROW][C]17[/C][C]0.098012[/C][C]0.6719[/C][C]0.252456[/C][/ROW]
[ROW][C]18[/C][C]-0.150282[/C][C]-1.0303[/C][C]0.154075[/C][/ROW]
[ROW][C]19[/C][C]-0.03725[/C][C]-0.2554[/C][C]0.399775[/C][/ROW]
[ROW][C]20[/C][C]-0.03574[/C][C]-0.245[/C][C]0.403753[/C][/ROW]
[ROW][C]21[/C][C]-0.066759[/C][C]-0.4577[/C][C]0.324647[/C][/ROW]
[ROW][C]22[/C][C]-0.137833[/C][C]-0.9449[/C][C]0.174762[/C][/ROW]
[ROW][C]23[/C][C]0.032119[/C][C]0.2202[/C][C]0.413337[/C][/ROW]
[ROW][C]24[/C][C]-0.113392[/C][C]-0.7774[/C][C]0.220415[/C][/ROW]
[ROW][C]25[/C][C]0.04614[/C][C]0.3163[/C][C]0.376581[/C][/ROW]
[ROW][C]26[/C][C]-0.109369[/C][C]-0.7498[/C][C]0.228558[/C][/ROW]
[ROW][C]27[/C][C]0.07251[/C][C]0.4971[/C][C]0.310717[/C][/ROW]
[ROW][C]28[/C][C]0.213746[/C][C]1.4654[/C][C]0.074739[/C][/ROW]
[ROW][C]29[/C][C]0.0088[/C][C]0.0603[/C][C]0.476074[/C][/ROW]
[ROW][C]30[/C][C]-0.138445[/C][C]-0.9491[/C][C]0.173704[/C][/ROW]
[ROW][C]31[/C][C]-0.061557[/C][C]-0.422[/C][C]0.33747[/C][/ROW]
[ROW][C]32[/C][C]-0.04741[/C][C]-0.325[/C][C]0.373302[/C][/ROW]
[ROW][C]33[/C][C]0.009066[/C][C]0.0622[/C][C]0.475352[/C][/ROW]
[ROW][C]34[/C][C]-0.174618[/C][C]-1.1971[/C][C]0.118632[/C][/ROW]
[ROW][C]35[/C][C]0.011031[/C][C]0.0756[/C][C]0.470018[/C][/ROW]
[ROW][C]36[/C][C]-0.034349[/C][C]-0.2355[/C][C]0.407427[/C][/ROW]
[ROW][C]37[/C][C]0.012668[/C][C]0.0868[/C][C]0.465581[/C][/ROW]
[ROW][C]38[/C][C]0.046675[/C][C]0.32[/C][C]0.375198[/C][/ROW]
[ROW][C]39[/C][C]0.016805[/C][C]0.1152[/C][C]0.454385[/C][/ROW]
[ROW][C]40[/C][C]0.062635[/C][C]0.4294[/C][C]0.334796[/C][/ROW]
[ROW][C]41[/C][C]0.014519[/C][C]0.0995[/C][C]0.460569[/C][/ROW]
[ROW][C]42[/C][C]-0.065617[/C][C]-0.4498[/C][C]0.327444[/C][/ROW]
[ROW][C]43[/C][C]-0.027478[/C][C]-0.1884[/C][C]0.425695[/C][/ROW]
[ROW][C]44[/C][C]-0.103722[/C][C]-0.7111[/C][C]0.240273[/C][/ROW]
[ROW][C]45[/C][C]-0.10587[/C][C]-0.7258[/C][C]0.235777[/C][/ROW]
[ROW][C]46[/C][C]-0.001476[/C][C]-0.0101[/C][C]0.495986[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117058&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117058&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
1	0.061301	0.4203	0.338106
2	0.195375	1.3394	0.093437
3	0.416019	2.8521	0.003218
4	-0.053965	-0.37	0.356534
5	-0.089142	-0.6111	0.27203
6	0.022997	0.1577	0.437702
7	0.058543	0.4014	0.344989
8	-0.02637	-0.1808	0.428656
9	-0.078169	-0.5359	0.297278
10	-0.203841	-1.3975	0.084418
11	-0.098572	-0.6758	0.251247
12	-0.242718	-1.664	0.051384
13	0.131345	0.9005	0.186234
14	0.148316	1.0168	0.157226
15	0.075862	0.5201	0.302724
16	-0.100718	-0.6905	0.246641
17	0.098012	0.6719	0.252456
18	-0.150282	-1.0303	0.154075
19	-0.03725	-0.2554	0.399775
20	-0.03574	-0.245	0.403753
21	-0.066759	-0.4577	0.324647
22	-0.137833	-0.9449	0.174762
23	0.032119	0.2202	0.413337
24	-0.113392	-0.7774	0.220415
25	0.04614	0.3163	0.376581
26	-0.109369	-0.7498	0.228558
27	0.07251	0.4971	0.310717
28	0.213746	1.4654	0.074739
29	0.0088	0.0603	0.476074
30	-0.138445	-0.9491	0.173704
31	-0.061557	-0.422	0.33747
32	-0.04741	-0.325	0.373302
33	0.009066	0.0622	0.475352
34	-0.174618	-1.1971	0.118632
35	0.011031	0.0756	0.470018
36	-0.034349	-0.2355	0.407427
37	0.012668	0.0868	0.465581
38	0.046675	0.32	0.375198
39	0.016805	0.1152	0.454385
40	0.062635	0.4294	0.334796
41	0.014519	0.0995	0.460569
42	-0.065617	-0.4498	0.327444
43	-0.027478	-0.1884	0.425695
44	-0.103722	-0.7111	0.240273
45	-0.10587	-0.7258	0.235777
46	-0.001476	-0.0101	0.495986
47	NA	NA	NA
48	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 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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 2:(par1+1)) {
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(abs(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,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(abs(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