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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Fri, 03 Dec 2010 10:18:34 +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/03/t1291371406735324hftueingr.htm/, Retrieved Tue, 07 May 2024 20:44:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104603, Retrieved Tue, 07 May 2024 20:44:22 +0000

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Estimated Impact

139

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

-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [(Partial) Autocorrelation Function] [Births] [2010-11-29 09:36:27] [b98453cac15ba1066b407e146608df68]
-   PD            [(Partial) Autocorrelation Function] [workshop 9 - tuto...] [2010-12-03 10:18:34] [42b216fecf560ef45cc692f6de9f34dc] [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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104603&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]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=104603&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104603&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.227011	-2.0806	0.020259
2	0.041993	0.3849	0.350651
3	0.29318	2.687	0.004344
4	-0.068264	-0.6256	0.266621
5	0.075001	0.6874	0.246864
6	0.195769	1.7943	0.038185
7	-0.126132	-1.156	0.125475
8	0.046289	0.4242	0.336236
9	0.206586	1.8934	0.030874
10	-0.036415	-0.3338	0.3697
11	0.051705	0.4739	0.318405
12	0.075029	0.6877	0.246783
13	-0.122177	-1.1198	0.133001
14	0.266087	2.4387	0.008423
15	-0.092346	-0.8464	0.199876
16	-0.070394	-0.6452	0.260286
17	0.13605	1.2469	0.107946
18	-0.060963	-0.5587	0.288916
19	-0.153578	-1.4076	0.081475
20	0.07607	0.6972	0.243802
21	-0.052513	-0.4813	0.315782
22	-0.206344	-1.8912	0.031024
23	0.270032	2.4749	0.007669
24	-0.182614	-1.6737	0.048956
25	-0.09401	-0.8616	0.195677
26	0.156022	1.43	0.078218
27	-0.095755	-0.8776	0.191328
28	-0.03422	-0.3136	0.377288
29	0.050968	0.4671	0.320809
30	-0.083726	-0.7674	0.222509
31	-0.018826	-0.1725	0.431714
32	0.121268	1.1114	0.134775
33	-0.152255	-1.3954	0.083281
34	-0.040735	-0.3733	0.354917
35	0.079737	0.7308	0.233466
36	-0.183671	-1.6834	0.048008
37	0.226019	2.0715	0.02069
38	-0.102973	-0.9438	0.173999
39	-0.06143	-0.563	0.287461
40	0.09184	0.8417	0.201165
41	0.028538	0.2616	0.397151
42	-0.03025	-0.2772	0.391137
43	0.089522	0.8205	0.207131
44	-0.005246	-0.0481	0.480884
45	-0.049634	-0.4549	0.325176
46	0.120011	1.0999	0.137255
47	-0.024965	-0.2288	0.409786
48	-0.136841	-1.2542	0.10663

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.227011 & -2.0806 & 0.020259 \tabularnewline
2 & 0.041993 & 0.3849 & 0.350651 \tabularnewline
3 & 0.29318 & 2.687 & 0.004344 \tabularnewline
4 & -0.068264 & -0.6256 & 0.266621 \tabularnewline
5 & 0.075001 & 0.6874 & 0.246864 \tabularnewline
6 & 0.195769 & 1.7943 & 0.038185 \tabularnewline
7 & -0.126132 & -1.156 & 0.125475 \tabularnewline
8 & 0.046289 & 0.4242 & 0.336236 \tabularnewline
9 & 0.206586 & 1.8934 & 0.030874 \tabularnewline
10 & -0.036415 & -0.3338 & 0.3697 \tabularnewline
11 & 0.051705 & 0.4739 & 0.318405 \tabularnewline
12 & 0.075029 & 0.6877 & 0.246783 \tabularnewline
13 & -0.122177 & -1.1198 & 0.133001 \tabularnewline
14 & 0.266087 & 2.4387 & 0.008423 \tabularnewline
15 & -0.092346 & -0.8464 & 0.199876 \tabularnewline
16 & -0.070394 & -0.6452 & 0.260286 \tabularnewline
17 & 0.13605 & 1.2469 & 0.107946 \tabularnewline
18 & -0.060963 & -0.5587 & 0.288916 \tabularnewline
19 & -0.153578 & -1.4076 & 0.081475 \tabularnewline
20 & 0.07607 & 0.6972 & 0.243802 \tabularnewline
21 & -0.052513 & -0.4813 & 0.315782 \tabularnewline
22 & -0.206344 & -1.8912 & 0.031024 \tabularnewline
23 & 0.270032 & 2.4749 & 0.007669 \tabularnewline
24 & -0.182614 & -1.6737 & 0.048956 \tabularnewline
25 & -0.09401 & -0.8616 & 0.195677 \tabularnewline
26 & 0.156022 & 1.43 & 0.078218 \tabularnewline
27 & -0.095755 & -0.8776 & 0.191328 \tabularnewline
28 & -0.03422 & -0.3136 & 0.377288 \tabularnewline
29 & 0.050968 & 0.4671 & 0.320809 \tabularnewline
30 & -0.083726 & -0.7674 & 0.222509 \tabularnewline
31 & -0.018826 & -0.1725 & 0.431714 \tabularnewline
32 & 0.121268 & 1.1114 & 0.134775 \tabularnewline
33 & -0.152255 & -1.3954 & 0.083281 \tabularnewline
34 & -0.040735 & -0.3733 & 0.354917 \tabularnewline
35 & 0.079737 & 0.7308 & 0.233466 \tabularnewline
36 & -0.183671 & -1.6834 & 0.048008 \tabularnewline
37 & 0.226019 & 2.0715 & 0.02069 \tabularnewline
38 & -0.102973 & -0.9438 & 0.173999 \tabularnewline
39 & -0.06143 & -0.563 & 0.287461 \tabularnewline
40 & 0.09184 & 0.8417 & 0.201165 \tabularnewline
41 & 0.028538 & 0.2616 & 0.397151 \tabularnewline
42 & -0.03025 & -0.2772 & 0.391137 \tabularnewline
43 & 0.089522 & 0.8205 & 0.207131 \tabularnewline
44 & -0.005246 & -0.0481 & 0.480884 \tabularnewline
45 & -0.049634 & -0.4549 & 0.325176 \tabularnewline
46 & 0.120011 & 1.0999 & 0.137255 \tabularnewline
47 & -0.024965 & -0.2288 & 0.409786 \tabularnewline
48 & -0.136841 & -1.2542 & 0.10663 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104603&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]-0.227011[/C][C]-2.0806[/C][C]0.020259[/C][/ROW]
[ROW][C]2[/C][C]0.041993[/C][C]0.3849[/C][C]0.350651[/C][/ROW]
[ROW][C]3[/C][C]0.29318[/C][C]2.687[/C][C]0.004344[/C][/ROW]
[ROW][C]4[/C][C]-0.068264[/C][C]-0.6256[/C][C]0.266621[/C][/ROW]
[ROW][C]5[/C][C]0.075001[/C][C]0.6874[/C][C]0.246864[/C][/ROW]
[ROW][C]6[/C][C]0.195769[/C][C]1.7943[/C][C]0.038185[/C][/ROW]
[ROW][C]7[/C][C]-0.126132[/C][C]-1.156[/C][C]0.125475[/C][/ROW]
[ROW][C]8[/C][C]0.046289[/C][C]0.4242[/C][C]0.336236[/C][/ROW]
[ROW][C]9[/C][C]0.206586[/C][C]1.8934[/C][C]0.030874[/C][/ROW]
[ROW][C]10[/C][C]-0.036415[/C][C]-0.3338[/C][C]0.3697[/C][/ROW]
[ROW][C]11[/C][C]0.051705[/C][C]0.4739[/C][C]0.318405[/C][/ROW]
[ROW][C]12[/C][C]0.075029[/C][C]0.6877[/C][C]0.246783[/C][/ROW]
[ROW][C]13[/C][C]-0.122177[/C][C]-1.1198[/C][C]0.133001[/C][/ROW]
[ROW][C]14[/C][C]0.266087[/C][C]2.4387[/C][C]0.008423[/C][/ROW]
[ROW][C]15[/C][C]-0.092346[/C][C]-0.8464[/C][C]0.199876[/C][/ROW]
[ROW][C]16[/C][C]-0.070394[/C][C]-0.6452[/C][C]0.260286[/C][/ROW]
[ROW][C]17[/C][C]0.13605[/C][C]1.2469[/C][C]0.107946[/C][/ROW]
[ROW][C]18[/C][C]-0.060963[/C][C]-0.5587[/C][C]0.288916[/C][/ROW]
[ROW][C]19[/C][C]-0.153578[/C][C]-1.4076[/C][C]0.081475[/C][/ROW]
[ROW][C]20[/C][C]0.07607[/C][C]0.6972[/C][C]0.243802[/C][/ROW]
[ROW][C]21[/C][C]-0.052513[/C][C]-0.4813[/C][C]0.315782[/C][/ROW]
[ROW][C]22[/C][C]-0.206344[/C][C]-1.8912[/C][C]0.031024[/C][/ROW]
[ROW][C]23[/C][C]0.270032[/C][C]2.4749[/C][C]0.007669[/C][/ROW]
[ROW][C]24[/C][C]-0.182614[/C][C]-1.6737[/C][C]0.048956[/C][/ROW]
[ROW][C]25[/C][C]-0.09401[/C][C]-0.8616[/C][C]0.195677[/C][/ROW]
[ROW][C]26[/C][C]0.156022[/C][C]1.43[/C][C]0.078218[/C][/ROW]
[ROW][C]27[/C][C]-0.095755[/C][C]-0.8776[/C][C]0.191328[/C][/ROW]
[ROW][C]28[/C][C]-0.03422[/C][C]-0.3136[/C][C]0.377288[/C][/ROW]
[ROW][C]29[/C][C]0.050968[/C][C]0.4671[/C][C]0.320809[/C][/ROW]
[ROW][C]30[/C][C]-0.083726[/C][C]-0.7674[/C][C]0.222509[/C][/ROW]
[ROW][C]31[/C][C]-0.018826[/C][C]-0.1725[/C][C]0.431714[/C][/ROW]
[ROW][C]32[/C][C]0.121268[/C][C]1.1114[/C][C]0.134775[/C][/ROW]
[ROW][C]33[/C][C]-0.152255[/C][C]-1.3954[/C][C]0.083281[/C][/ROW]
[ROW][C]34[/C][C]-0.040735[/C][C]-0.3733[/C][C]0.354917[/C][/ROW]
[ROW][C]35[/C][C]0.079737[/C][C]0.7308[/C][C]0.233466[/C][/ROW]
[ROW][C]36[/C][C]-0.183671[/C][C]-1.6834[/C][C]0.048008[/C][/ROW]
[ROW][C]37[/C][C]0.226019[/C][C]2.0715[/C][C]0.02069[/C][/ROW]
[ROW][C]38[/C][C]-0.102973[/C][C]-0.9438[/C][C]0.173999[/C][/ROW]
[ROW][C]39[/C][C]-0.06143[/C][C]-0.563[/C][C]0.287461[/C][/ROW]
[ROW][C]40[/C][C]0.09184[/C][C]0.8417[/C][C]0.201165[/C][/ROW]
[ROW][C]41[/C][C]0.028538[/C][C]0.2616[/C][C]0.397151[/C][/ROW]
[ROW][C]42[/C][C]-0.03025[/C][C]-0.2772[/C][C]0.391137[/C][/ROW]
[ROW][C]43[/C][C]0.089522[/C][C]0.8205[/C][C]0.207131[/C][/ROW]
[ROW][C]44[/C][C]-0.005246[/C][C]-0.0481[/C][C]0.480884[/C][/ROW]
[ROW][C]45[/C][C]-0.049634[/C][C]-0.4549[/C][C]0.325176[/C][/ROW]
[ROW][C]46[/C][C]0.120011[/C][C]1.0999[/C][C]0.137255[/C][/ROW]
[ROW][C]47[/C][C]-0.024965[/C][C]-0.2288[/C][C]0.409786[/C][/ROW]
[ROW][C]48[/C][C]-0.136841[/C][C]-1.2542[/C][C]0.10663[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104603&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104603&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	-0.227011	-2.0806	0.020259
2	0.041993	0.3849	0.350651
3	0.29318	2.687	0.004344
4	-0.068264	-0.6256	0.266621
5	0.075001	0.6874	0.246864
6	0.195769	1.7943	0.038185
7	-0.126132	-1.156	0.125475
8	0.046289	0.4242	0.336236
9	0.206586	1.8934	0.030874
10	-0.036415	-0.3338	0.3697
11	0.051705	0.4739	0.318405
12	0.075029	0.6877	0.246783
13	-0.122177	-1.1198	0.133001
14	0.266087	2.4387	0.008423
15	-0.092346	-0.8464	0.199876
16	-0.070394	-0.6452	0.260286
17	0.13605	1.2469	0.107946
18	-0.060963	-0.5587	0.288916
19	-0.153578	-1.4076	0.081475
20	0.07607	0.6972	0.243802
21	-0.052513	-0.4813	0.315782
22	-0.206344	-1.8912	0.031024
23	0.270032	2.4749	0.007669
24	-0.182614	-1.6737	0.048956
25	-0.09401	-0.8616	0.195677
26	0.156022	1.43	0.078218
27	-0.095755	-0.8776	0.191328
28	-0.03422	-0.3136	0.377288
29	0.050968	0.4671	0.320809
30	-0.083726	-0.7674	0.222509
31	-0.018826	-0.1725	0.431714
32	0.121268	1.1114	0.134775
33	-0.152255	-1.3954	0.083281
34	-0.040735	-0.3733	0.354917
35	0.079737	0.7308	0.233466
36	-0.183671	-1.6834	0.048008
37	0.226019	2.0715	0.02069
38	-0.102973	-0.9438	0.173999
39	-0.06143	-0.563	0.287461
40	0.09184	0.8417	0.201165
41	0.028538	0.2616	0.397151
42	-0.03025	-0.2772	0.391137
43	0.089522	0.8205	0.207131
44	-0.005246	-0.0481	0.480884
45	-0.049634	-0.4549	0.325176
46	0.120011	1.0999	0.137255
47	-0.024965	-0.2288	0.409786
48	-0.136841	-1.2542	0.10663

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.227011	-2.0806	0.020259
2	-0.010059	-0.0922	0.463383
3	0.316886	2.9043	0.002351
4	0.078925	0.7234	0.235735
5	0.052858	0.4844	0.314664
6	0.152024	1.3933	0.083599
7	-0.062858	-0.5761	0.283043
8	-0.065221	-0.5978	0.275804
9	0.139023	1.2742	0.10306
10	0.10656	0.9766	0.165775
11	0.031049	0.2846	0.388339
12	-0.022682	-0.2079	0.417913
13	-0.136545	-1.2515	0.10712
14	0.193392	1.7725	0.039972
15	-0.051689	-0.4737	0.318457
16	-0.081172	-0.744	0.22949
17	0.003903	0.0358	0.485776
18	-0.011192	-0.1026	0.459271
19	-0.213566	-1.9574	0.026813
20	-0.132855	-1.2176	0.113386
21	0.061461	0.5633	0.287365
22	-0.12963	-1.1881	0.119075
23	0.155096	1.4215	0.07944
24	-0.030713	-0.2815	0.389513
25	-0.025267	-0.2316	0.408717
26	0.003627	0.0332	0.48678
27	0.068493	0.6277	0.265936
28	0.013086	0.1199	0.452411
29	0.021767	0.1995	0.421179
30	0.038211	0.3502	0.363528
31	-0.026373	-0.2417	0.404797
32	0.088988	0.8156	0.208522
33	-0.038057	-0.3488	0.364056
34	-0.081478	-0.7468	0.228648
35	-0.021852	-0.2003	0.420874
36	-0.044285	-0.4059	0.342931
37	0.120802	1.1072	0.135691
38	-0.032346	-0.2965	0.383808
39	0.012622	0.1157	0.454092
40	-0.097113	-0.8901	0.187989
41	0.035607	0.3263	0.37249
42	0.085741	0.7858	0.21709
43	0.071026	0.651	0.258424
44	0.023809	0.2182	0.413896
45	0.025718	0.2357	0.407117
46	-0.069645	-0.6383	0.262504
47	-0.00335	-0.0307	0.487791
48	-0.103505	-0.9486	0.172764

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.227011 & -2.0806 & 0.020259 \tabularnewline
2 & -0.010059 & -0.0922 & 0.463383 \tabularnewline
3 & 0.316886 & 2.9043 & 0.002351 \tabularnewline
4 & 0.078925 & 0.7234 & 0.235735 \tabularnewline
5 & 0.052858 & 0.4844 & 0.314664 \tabularnewline
6 & 0.152024 & 1.3933 & 0.083599 \tabularnewline
7 & -0.062858 & -0.5761 & 0.283043 \tabularnewline
8 & -0.065221 & -0.5978 & 0.275804 \tabularnewline
9 & 0.139023 & 1.2742 & 0.10306 \tabularnewline
10 & 0.10656 & 0.9766 & 0.165775 \tabularnewline
11 & 0.031049 & 0.2846 & 0.388339 \tabularnewline
12 & -0.022682 & -0.2079 & 0.417913 \tabularnewline
13 & -0.136545 & -1.2515 & 0.10712 \tabularnewline
14 & 0.193392 & 1.7725 & 0.039972 \tabularnewline
15 & -0.051689 & -0.4737 & 0.318457 \tabularnewline
16 & -0.081172 & -0.744 & 0.22949 \tabularnewline
17 & 0.003903 & 0.0358 & 0.485776 \tabularnewline
18 & -0.011192 & -0.1026 & 0.459271 \tabularnewline
19 & -0.213566 & -1.9574 & 0.026813 \tabularnewline
20 & -0.132855 & -1.2176 & 0.113386 \tabularnewline
21 & 0.061461 & 0.5633 & 0.287365 \tabularnewline
22 & -0.12963 & -1.1881 & 0.119075 \tabularnewline
23 & 0.155096 & 1.4215 & 0.07944 \tabularnewline
24 & -0.030713 & -0.2815 & 0.389513 \tabularnewline
25 & -0.025267 & -0.2316 & 0.408717 \tabularnewline
26 & 0.003627 & 0.0332 & 0.48678 \tabularnewline
27 & 0.068493 & 0.6277 & 0.265936 \tabularnewline
28 & 0.013086 & 0.1199 & 0.452411 \tabularnewline
29 & 0.021767 & 0.1995 & 0.421179 \tabularnewline
30 & 0.038211 & 0.3502 & 0.363528 \tabularnewline
31 & -0.026373 & -0.2417 & 0.404797 \tabularnewline
32 & 0.088988 & 0.8156 & 0.208522 \tabularnewline
33 & -0.038057 & -0.3488 & 0.364056 \tabularnewline
34 & -0.081478 & -0.7468 & 0.228648 \tabularnewline
35 & -0.021852 & -0.2003 & 0.420874 \tabularnewline
36 & -0.044285 & -0.4059 & 0.342931 \tabularnewline
37 & 0.120802 & 1.1072 & 0.135691 \tabularnewline
38 & -0.032346 & -0.2965 & 0.383808 \tabularnewline
39 & 0.012622 & 0.1157 & 0.454092 \tabularnewline
40 & -0.097113 & -0.8901 & 0.187989 \tabularnewline
41 & 0.035607 & 0.3263 & 0.37249 \tabularnewline
42 & 0.085741 & 0.7858 & 0.21709 \tabularnewline
43 & 0.071026 & 0.651 & 0.258424 \tabularnewline
44 & 0.023809 & 0.2182 & 0.413896 \tabularnewline
45 & 0.025718 & 0.2357 & 0.407117 \tabularnewline
46 & -0.069645 & -0.6383 & 0.262504 \tabularnewline
47 & -0.00335 & -0.0307 & 0.487791 \tabularnewline
48 & -0.103505 & -0.9486 & 0.172764 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104603&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]-0.227011[/C][C]-2.0806[/C][C]0.020259[/C][/ROW]
[ROW][C]2[/C][C]-0.010059[/C][C]-0.0922[/C][C]0.463383[/C][/ROW]
[ROW][C]3[/C][C]0.316886[/C][C]2.9043[/C][C]0.002351[/C][/ROW]
[ROW][C]4[/C][C]0.078925[/C][C]0.7234[/C][C]0.235735[/C][/ROW]
[ROW][C]5[/C][C]0.052858[/C][C]0.4844[/C][C]0.314664[/C][/ROW]
[ROW][C]6[/C][C]0.152024[/C][C]1.3933[/C][C]0.083599[/C][/ROW]
[ROW][C]7[/C][C]-0.062858[/C][C]-0.5761[/C][C]0.283043[/C][/ROW]
[ROW][C]8[/C][C]-0.065221[/C][C]-0.5978[/C][C]0.275804[/C][/ROW]
[ROW][C]9[/C][C]0.139023[/C][C]1.2742[/C][C]0.10306[/C][/ROW]
[ROW][C]10[/C][C]0.10656[/C][C]0.9766[/C][C]0.165775[/C][/ROW]
[ROW][C]11[/C][C]0.031049[/C][C]0.2846[/C][C]0.388339[/C][/ROW]
[ROW][C]12[/C][C]-0.022682[/C][C]-0.2079[/C][C]0.417913[/C][/ROW]
[ROW][C]13[/C][C]-0.136545[/C][C]-1.2515[/C][C]0.10712[/C][/ROW]
[ROW][C]14[/C][C]0.193392[/C][C]1.7725[/C][C]0.039972[/C][/ROW]
[ROW][C]15[/C][C]-0.051689[/C][C]-0.4737[/C][C]0.318457[/C][/ROW]
[ROW][C]16[/C][C]-0.081172[/C][C]-0.744[/C][C]0.22949[/C][/ROW]
[ROW][C]17[/C][C]0.003903[/C][C]0.0358[/C][C]0.485776[/C][/ROW]
[ROW][C]18[/C][C]-0.011192[/C][C]-0.1026[/C][C]0.459271[/C][/ROW]
[ROW][C]19[/C][C]-0.213566[/C][C]-1.9574[/C][C]0.026813[/C][/ROW]
[ROW][C]20[/C][C]-0.132855[/C][C]-1.2176[/C][C]0.113386[/C][/ROW]
[ROW][C]21[/C][C]0.061461[/C][C]0.5633[/C][C]0.287365[/C][/ROW]
[ROW][C]22[/C][C]-0.12963[/C][C]-1.1881[/C][C]0.119075[/C][/ROW]
[ROW][C]23[/C][C]0.155096[/C][C]1.4215[/C][C]0.07944[/C][/ROW]
[ROW][C]24[/C][C]-0.030713[/C][C]-0.2815[/C][C]0.389513[/C][/ROW]
[ROW][C]25[/C][C]-0.025267[/C][C]-0.2316[/C][C]0.408717[/C][/ROW]
[ROW][C]26[/C][C]0.003627[/C][C]0.0332[/C][C]0.48678[/C][/ROW]
[ROW][C]27[/C][C]0.068493[/C][C]0.6277[/C][C]0.265936[/C][/ROW]
[ROW][C]28[/C][C]0.013086[/C][C]0.1199[/C][C]0.452411[/C][/ROW]
[ROW][C]29[/C][C]0.021767[/C][C]0.1995[/C][C]0.421179[/C][/ROW]
[ROW][C]30[/C][C]0.038211[/C][C]0.3502[/C][C]0.363528[/C][/ROW]
[ROW][C]31[/C][C]-0.026373[/C][C]-0.2417[/C][C]0.404797[/C][/ROW]
[ROW][C]32[/C][C]0.088988[/C][C]0.8156[/C][C]0.208522[/C][/ROW]
[ROW][C]33[/C][C]-0.038057[/C][C]-0.3488[/C][C]0.364056[/C][/ROW]
[ROW][C]34[/C][C]-0.081478[/C][C]-0.7468[/C][C]0.228648[/C][/ROW]
[ROW][C]35[/C][C]-0.021852[/C][C]-0.2003[/C][C]0.420874[/C][/ROW]
[ROW][C]36[/C][C]-0.044285[/C][C]-0.4059[/C][C]0.342931[/C][/ROW]
[ROW][C]37[/C][C]0.120802[/C][C]1.1072[/C][C]0.135691[/C][/ROW]
[ROW][C]38[/C][C]-0.032346[/C][C]-0.2965[/C][C]0.383808[/C][/ROW]
[ROW][C]39[/C][C]0.012622[/C][C]0.1157[/C][C]0.454092[/C][/ROW]
[ROW][C]40[/C][C]-0.097113[/C][C]-0.8901[/C][C]0.187989[/C][/ROW]
[ROW][C]41[/C][C]0.035607[/C][C]0.3263[/C][C]0.37249[/C][/ROW]
[ROW][C]42[/C][C]0.085741[/C][C]0.7858[/C][C]0.21709[/C][/ROW]
[ROW][C]43[/C][C]0.071026[/C][C]0.651[/C][C]0.258424[/C][/ROW]
[ROW][C]44[/C][C]0.023809[/C][C]0.2182[/C][C]0.413896[/C][/ROW]
[ROW][C]45[/C][C]0.025718[/C][C]0.2357[/C][C]0.407117[/C][/ROW]
[ROW][C]46[/C][C]-0.069645[/C][C]-0.6383[/C][C]0.262504[/C][/ROW]
[ROW][C]47[/C][C]-0.00335[/C][C]-0.0307[/C][C]0.487791[/C][/ROW]
[ROW][C]48[/C][C]-0.103505[/C][C]-0.9486[/C][C]0.172764[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104603&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104603&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	-0.227011	-2.0806	0.020259
2	-0.010059	-0.0922	0.463383
3	0.316886	2.9043	0.002351
4	0.078925	0.7234	0.235735
5	0.052858	0.4844	0.314664
6	0.152024	1.3933	0.083599
7	-0.062858	-0.5761	0.283043
8	-0.065221	-0.5978	0.275804
9	0.139023	1.2742	0.10306
10	0.10656	0.9766	0.165775
11	0.031049	0.2846	0.388339
12	-0.022682	-0.2079	0.417913
13	-0.136545	-1.2515	0.10712
14	0.193392	1.7725	0.039972
15	-0.051689	-0.4737	0.318457
16	-0.081172	-0.744	0.22949
17	0.003903	0.0358	0.485776
18	-0.011192	-0.1026	0.459271
19	-0.213566	-1.9574	0.026813
20	-0.132855	-1.2176	0.113386
21	0.061461	0.5633	0.287365
22	-0.12963	-1.1881	0.119075
23	0.155096	1.4215	0.07944
24	-0.030713	-0.2815	0.389513
25	-0.025267	-0.2316	0.408717
26	0.003627	0.0332	0.48678
27	0.068493	0.6277	0.265936
28	0.013086	0.1199	0.452411
29	0.021767	0.1995	0.421179
30	0.038211	0.3502	0.363528
31	-0.026373	-0.2417	0.404797
32	0.088988	0.8156	0.208522
33	-0.038057	-0.3488	0.364056
34	-0.081478	-0.7468	0.228648
35	-0.021852	-0.2003	0.420874
36	-0.044285	-0.4059	0.342931
37	0.120802	1.1072	0.135691
38	-0.032346	-0.2965	0.383808
39	0.012622	0.1157	0.454092
40	-0.097113	-0.8901	0.187989
41	0.035607	0.3263	0.37249
42	0.085741	0.7858	0.21709
43	0.071026	0.651	0.258424
44	0.023809	0.2182	0.413896
45	0.025718	0.2357	0.407117
46	-0.069645	-0.6383	0.262504
47	-0.00335	-0.0307	0.487791
48	-0.103505	-0.9486	0.172764

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 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

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