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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 14 Dec 2008 11:14:08 -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/2008/Dec/14/t1229278540vdtnhzw1wwo6pit.htm/, Retrieved Thu, 16 May 2024 02:14:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33520, Retrieved Thu, 16 May 2024 02:14:25 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

183

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

-     [Univariate Data Series] [Industriele produ...] [2008-12-14 16:49:51] [b82ef11dce0545f3fd4676ec3ebed828]
- RMP   [Central Tendency] [Central Tendency ...] [2008-12-14 17:03:16] [b82ef11dce0545f3fd4676ec3ebed828]
- RM      [Percentiles] [Percentiles -  - ...] [2008-12-14 17:08:17] [b82ef11dce0545f3fd4676ec3ebed828]
- RM        [Tukey lambda PPCC Plot] [Tukey lambda PPCC...] [2008-12-14 17:26:43] [b82ef11dce0545f3fd4676ec3ebed828]
- RMP         [Blocked Bootstrap Plot - Central Tendency] [Blocked bootstrap...] [2008-12-14 17:29:20] [b82ef11dce0545f3fd4676ec3ebed828]
- RMP           [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2008-12-14 17:35:42] [b82ef11dce0545f3fd4676ec3ebed828]
- RMP             [Univariate Explorative Data Analysis] [Univariate EDA  -...] [2008-12-14 17:39:39] [b82ef11dce0545f3fd4676ec3ebed828]
- RMP               [Mean Plot] [Mean plot - Indus...] [2008-12-14 17:56:47] [b82ef11dce0545f3fd4676ec3ebed828]
- RM                  [Variance Reduction Matrix] [VRM - Industriele...] [2008-12-14 18:03:27] [b82ef11dce0545f3fd4676ec3ebed828]
- RM                    [Standard Deviation-Mean Plot] [SDMP - Industriel...] [2008-12-14 18:07:34] [b82ef11dce0545f3fd4676ec3ebed828]
- RM                        [(Partial) Autocorrelation Function] [(Partial) ACF  - ...] [2008-12-14 18:14:08] [4b953869c7238aca4b6e0cfb0c5cddd6] [Current]
- RM                          [Spectral Analysis] [Spectrum - Indust...] [2008-12-14 18:16:42] [b82ef11dce0545f3fd4676ec3ebed828] 
- RM                            [ARIMA Backward Selection] [ARIMA Backward Se...] [2008-12-14 18:25:02] [b82ef11dce0545f3fd4676ec3ebed828] 
- RM                              [ARIMA Forecasting] [ARIMA Forecasting...] [2008-12-14 18:33:23] [b82ef11dce0545f3fd4676ec3ebed828] 

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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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33520&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33520&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33520&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.14178	-1.0704	0.144471
2	0.143935	1.0867	0.140876
3	0.327738	2.4744	0.008174
4	-0.04765	-0.3597	0.360183
5	0.142328	1.0746	0.143551
6	0.187867	1.4184	0.080764
7	-0.196386	-1.4827	0.071833
8	-0.060845	-0.4594	0.323857
9	0.152386	1.1505	0.127374
10	-0.218284	-1.648	0.052426
11	-0.090842	-0.6858	0.247797
12	-0.075753	-0.5719	0.284811
13	-0.148657	-1.1223	0.133212
14	-0.061075	-0.4611	0.323239
15	0.055641	0.4201	0.338003
16	-0.213414	-1.6112	0.056326
17	0.015799	0.1193	0.452737
18	0.03815	0.288	0.387186
19	-0.171128	-1.292	0.100788
20	0.016899	0.1276	0.449463
21	0.058338	0.4404	0.33064
22	-0.280128	-2.1149	0.01941
23	0.22009	1.6616	0.051038
24	-0.232386	-1.7545	0.042362
25	-0.083948	-0.6338	0.264376
26	0.177035	1.3366	0.093335
27	-0.12892	-0.9733	0.167252
28	-0.046427	-0.3505	0.363621
29	0.048565	0.3667	0.357617
30	-0.110973	-0.8378	0.202812
31	0.019429	0.1467	0.441949
32	0.168752	1.274	0.103909
33	-0.167036	-1.2611	0.106206
34	0.098603	0.7444	0.229836
35	0.05067	0.3826	0.351738
36	-0.007481	-0.0565	0.477578
37	0.029563	0.2232	0.412091
38	0.026439	0.1996	0.421247
39	-0.058176	-0.4392	0.331081
40	0.027744	0.2095	0.417417
41	0.115611	0.8728	0.193206
42	-0.095741	-0.7228	0.236371
43	-0.001868	-0.0141	0.4944
44	0.075373	0.5691	0.285778
45	-0.131204	-0.9906	0.163041
46	0.087004	0.6569	0.256954
47	0.02161	0.1632	0.435488
48	-0.114103	-0.8615	0.196297

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.14178 & -1.0704 & 0.144471 \tabularnewline
2 & 0.143935 & 1.0867 & 0.140876 \tabularnewline
3 & 0.327738 & 2.4744 & 0.008174 \tabularnewline
4 & -0.04765 & -0.3597 & 0.360183 \tabularnewline
5 & 0.142328 & 1.0746 & 0.143551 \tabularnewline
6 & 0.187867 & 1.4184 & 0.080764 \tabularnewline
7 & -0.196386 & -1.4827 & 0.071833 \tabularnewline
8 & -0.060845 & -0.4594 & 0.323857 \tabularnewline
9 & 0.152386 & 1.1505 & 0.127374 \tabularnewline
10 & -0.218284 & -1.648 & 0.052426 \tabularnewline
11 & -0.090842 & -0.6858 & 0.247797 \tabularnewline
12 & -0.075753 & -0.5719 & 0.284811 \tabularnewline
13 & -0.148657 & -1.1223 & 0.133212 \tabularnewline
14 & -0.061075 & -0.4611 & 0.323239 \tabularnewline
15 & 0.055641 & 0.4201 & 0.338003 \tabularnewline
16 & -0.213414 & -1.6112 & 0.056326 \tabularnewline
17 & 0.015799 & 0.1193 & 0.452737 \tabularnewline
18 & 0.03815 & 0.288 & 0.387186 \tabularnewline
19 & -0.171128 & -1.292 & 0.100788 \tabularnewline
20 & 0.016899 & 0.1276 & 0.449463 \tabularnewline
21 & 0.058338 & 0.4404 & 0.33064 \tabularnewline
22 & -0.280128 & -2.1149 & 0.01941 \tabularnewline
23 & 0.22009 & 1.6616 & 0.051038 \tabularnewline
24 & -0.232386 & -1.7545 & 0.042362 \tabularnewline
25 & -0.083948 & -0.6338 & 0.264376 \tabularnewline
26 & 0.177035 & 1.3366 & 0.093335 \tabularnewline
27 & -0.12892 & -0.9733 & 0.167252 \tabularnewline
28 & -0.046427 & -0.3505 & 0.363621 \tabularnewline
29 & 0.048565 & 0.3667 & 0.357617 \tabularnewline
30 & -0.110973 & -0.8378 & 0.202812 \tabularnewline
31 & 0.019429 & 0.1467 & 0.441949 \tabularnewline
32 & 0.168752 & 1.274 & 0.103909 \tabularnewline
33 & -0.167036 & -1.2611 & 0.106206 \tabularnewline
34 & 0.098603 & 0.7444 & 0.229836 \tabularnewline
35 & 0.05067 & 0.3826 & 0.351738 \tabularnewline
36 & -0.007481 & -0.0565 & 0.477578 \tabularnewline
37 & 0.029563 & 0.2232 & 0.412091 \tabularnewline
38 & 0.026439 & 0.1996 & 0.421247 \tabularnewline
39 & -0.058176 & -0.4392 & 0.331081 \tabularnewline
40 & 0.027744 & 0.2095 & 0.417417 \tabularnewline
41 & 0.115611 & 0.8728 & 0.193206 \tabularnewline
42 & -0.095741 & -0.7228 & 0.236371 \tabularnewline
43 & -0.001868 & -0.0141 & 0.4944 \tabularnewline
44 & 0.075373 & 0.5691 & 0.285778 \tabularnewline
45 & -0.131204 & -0.9906 & 0.163041 \tabularnewline
46 & 0.087004 & 0.6569 & 0.256954 \tabularnewline
47 & 0.02161 & 0.1632 & 0.435488 \tabularnewline
48 & -0.114103 & -0.8615 & 0.196297 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33520&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]-0.14178[/C][C]-1.0704[/C][C]0.144471[/C][/ROW]
[ROW][C]2[/C][C]0.143935[/C][C]1.0867[/C][C]0.140876[/C][/ROW]
[ROW][C]3[/C][C]0.327738[/C][C]2.4744[/C][C]0.008174[/C][/ROW]
[ROW][C]4[/C][C]-0.04765[/C][C]-0.3597[/C][C]0.360183[/C][/ROW]
[ROW][C]5[/C][C]0.142328[/C][C]1.0746[/C][C]0.143551[/C][/ROW]
[ROW][C]6[/C][C]0.187867[/C][C]1.4184[/C][C]0.080764[/C][/ROW]
[ROW][C]7[/C][C]-0.196386[/C][C]-1.4827[/C][C]0.071833[/C][/ROW]
[ROW][C]8[/C][C]-0.060845[/C][C]-0.4594[/C][C]0.323857[/C][/ROW]
[ROW][C]9[/C][C]0.152386[/C][C]1.1505[/C][C]0.127374[/C][/ROW]
[ROW][C]10[/C][C]-0.218284[/C][C]-1.648[/C][C]0.052426[/C][/ROW]
[ROW][C]11[/C][C]-0.090842[/C][C]-0.6858[/C][C]0.247797[/C][/ROW]
[ROW][C]12[/C][C]-0.075753[/C][C]-0.5719[/C][C]0.284811[/C][/ROW]
[ROW][C]13[/C][C]-0.148657[/C][C]-1.1223[/C][C]0.133212[/C][/ROW]
[ROW][C]14[/C][C]-0.061075[/C][C]-0.4611[/C][C]0.323239[/C][/ROW]
[ROW][C]15[/C][C]0.055641[/C][C]0.4201[/C][C]0.338003[/C][/ROW]
[ROW][C]16[/C][C]-0.213414[/C][C]-1.6112[/C][C]0.056326[/C][/ROW]
[ROW][C]17[/C][C]0.015799[/C][C]0.1193[/C][C]0.452737[/C][/ROW]
[ROW][C]18[/C][C]0.03815[/C][C]0.288[/C][C]0.387186[/C][/ROW]
[ROW][C]19[/C][C]-0.171128[/C][C]-1.292[/C][C]0.100788[/C][/ROW]
[ROW][C]20[/C][C]0.016899[/C][C]0.1276[/C][C]0.449463[/C][/ROW]
[ROW][C]21[/C][C]0.058338[/C][C]0.4404[/C][C]0.33064[/C][/ROW]
[ROW][C]22[/C][C]-0.280128[/C][C]-2.1149[/C][C]0.01941[/C][/ROW]
[ROW][C]23[/C][C]0.22009[/C][C]1.6616[/C][C]0.051038[/C][/ROW]
[ROW][C]24[/C][C]-0.232386[/C][C]-1.7545[/C][C]0.042362[/C][/ROW]
[ROW][C]25[/C][C]-0.083948[/C][C]-0.6338[/C][C]0.264376[/C][/ROW]
[ROW][C]26[/C][C]0.177035[/C][C]1.3366[/C][C]0.093335[/C][/ROW]
[ROW][C]27[/C][C]-0.12892[/C][C]-0.9733[/C][C]0.167252[/C][/ROW]
[ROW][C]28[/C][C]-0.046427[/C][C]-0.3505[/C][C]0.363621[/C][/ROW]
[ROW][C]29[/C][C]0.048565[/C][C]0.3667[/C][C]0.357617[/C][/ROW]
[ROW][C]30[/C][C]-0.110973[/C][C]-0.8378[/C][C]0.202812[/C][/ROW]
[ROW][C]31[/C][C]0.019429[/C][C]0.1467[/C][C]0.441949[/C][/ROW]
[ROW][C]32[/C][C]0.168752[/C][C]1.274[/C][C]0.103909[/C][/ROW]
[ROW][C]33[/C][C]-0.167036[/C][C]-1.2611[/C][C]0.106206[/C][/ROW]
[ROW][C]34[/C][C]0.098603[/C][C]0.7444[/C][C]0.229836[/C][/ROW]
[ROW][C]35[/C][C]0.05067[/C][C]0.3826[/C][C]0.351738[/C][/ROW]
[ROW][C]36[/C][C]-0.007481[/C][C]-0.0565[/C][C]0.477578[/C][/ROW]
[ROW][C]37[/C][C]0.029563[/C][C]0.2232[/C][C]0.412091[/C][/ROW]
[ROW][C]38[/C][C]0.026439[/C][C]0.1996[/C][C]0.421247[/C][/ROW]
[ROW][C]39[/C][C]-0.058176[/C][C]-0.4392[/C][C]0.331081[/C][/ROW]
[ROW][C]40[/C][C]0.027744[/C][C]0.2095[/C][C]0.417417[/C][/ROW]
[ROW][C]41[/C][C]0.115611[/C][C]0.8728[/C][C]0.193206[/C][/ROW]
[ROW][C]42[/C][C]-0.095741[/C][C]-0.7228[/C][C]0.236371[/C][/ROW]
[ROW][C]43[/C][C]-0.001868[/C][C]-0.0141[/C][C]0.4944[/C][/ROW]
[ROW][C]44[/C][C]0.075373[/C][C]0.5691[/C][C]0.285778[/C][/ROW]
[ROW][C]45[/C][C]-0.131204[/C][C]-0.9906[/C][C]0.163041[/C][/ROW]
[ROW][C]46[/C][C]0.087004[/C][C]0.6569[/C][C]0.256954[/C][/ROW]
[ROW][C]47[/C][C]0.02161[/C][C]0.1632[/C][C]0.435488[/C][/ROW]
[ROW][C]48[/C][C]-0.114103[/C][C]-0.8615[/C][C]0.196297[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33520&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33520&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	-0.14178	-1.0704	0.144471
2	0.143935	1.0867	0.140876
3	0.327738	2.4744	0.008174
4	-0.04765	-0.3597	0.360183
5	0.142328	1.0746	0.143551
6	0.187867	1.4184	0.080764
7	-0.196386	-1.4827	0.071833
8	-0.060845	-0.4594	0.323857
9	0.152386	1.1505	0.127374
10	-0.218284	-1.648	0.052426
11	-0.090842	-0.6858	0.247797
12	-0.075753	-0.5719	0.284811
13	-0.148657	-1.1223	0.133212
14	-0.061075	-0.4611	0.323239
15	0.055641	0.4201	0.338003
16	-0.213414	-1.6112	0.056326
17	0.015799	0.1193	0.452737
18	0.03815	0.288	0.387186
19	-0.171128	-1.292	0.100788
20	0.016899	0.1276	0.449463
21	0.058338	0.4404	0.33064
22	-0.280128	-2.1149	0.01941
23	0.22009	1.6616	0.051038
24	-0.232386	-1.7545	0.042362
25	-0.083948	-0.6338	0.264376
26	0.177035	1.3366	0.093335
27	-0.12892	-0.9733	0.167252
28	-0.046427	-0.3505	0.363621
29	0.048565	0.3667	0.357617
30	-0.110973	-0.8378	0.202812
31	0.019429	0.1467	0.441949
32	0.168752	1.274	0.103909
33	-0.167036	-1.2611	0.106206
34	0.098603	0.7444	0.229836
35	0.05067	0.3826	0.351738
36	-0.007481	-0.0565	0.477578
37	0.029563	0.2232	0.412091
38	0.026439	0.1996	0.421247
39	-0.058176	-0.4392	0.331081
40	0.027744	0.2095	0.417417
41	0.115611	0.8728	0.193206
42	-0.095741	-0.7228	0.236371
43	-0.001868	-0.0141	0.4944
44	0.075373	0.5691	0.285778
45	-0.131204	-0.9906	0.163041
46	0.087004	0.6569	0.256954
47	0.02161	0.1632	0.435488
48	-0.114103	-0.8615	0.196297

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.14178	-1.0704	0.144471
2	0.126373	0.9541	0.172032
3	0.37696	2.846	0.003071
4	0.04484	0.3385	0.368101
5	0.036541	0.2759	0.391819
6	0.116164	0.877	0.192078
7	-0.206278	-1.5574	0.062459
8	-0.304076	-2.2957	0.012695
9	0.067685	0.511	0.305659
10	-0.010887	-0.0822	0.467391
11	-0.142007	-1.0721	0.14409
12	-0.143317	-1.082	0.141901
13	0.062852	0.4745	0.318469
14	0.01381	0.1043	0.458662
15	0.092745	0.7002	0.243323
16	-0.030331	-0.229	0.409845
17	0.046942	0.3544	0.362172
18	-0.014072	-0.1062	0.457881
19	-0.183389	-1.3846	0.085792
20	-0.14566	-1.0997	0.138041
21	0.103344	0.7802	0.219241
22	-0.238014	-1.797	0.03882
23	0.090859	0.686	0.247757
24	-0.238367	-1.7996	0.038606
25	0.029163	0.2202	0.413261
26	0.152546	1.1517	0.127127
27	0.11335	0.8558	0.197852
28	-0.042652	-0.322	0.374311
29	-0.075565	-0.5705	0.285289
30	-0.179913	-1.3583	0.089858
31	-0.028997	-0.2189	0.413746
32	0.01327	0.1002	0.460275
33	0.016201	0.1223	0.451539
34	0.037556	0.2835	0.388894
35	-0.063515	-0.4795	0.3167
36	-0.092987	-0.702	0.242756
37	0.045937	0.3468	0.365002
38	-0.041509	-0.3134	0.377565
39	0.073249	0.553	0.291208
40	-0.089739	-0.6775	0.250409
41	0.000576	0.0043	0.498273
42	-0.045196	-0.3412	0.367096
43	-0.052166	-0.3938	0.347584
44	-0.040438	-0.3053	0.380624
45	0.056599	0.4273	0.33538
46	-0.109476	-0.8265	0.205977
47	0.047868	0.3614	0.359571
48	-0.052293	-0.3948	0.347232

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.14178 & -1.0704 & 0.144471 \tabularnewline
2 & 0.126373 & 0.9541 & 0.172032 \tabularnewline
3 & 0.37696 & 2.846 & 0.003071 \tabularnewline
4 & 0.04484 & 0.3385 & 0.368101 \tabularnewline
5 & 0.036541 & 0.2759 & 0.391819 \tabularnewline
6 & 0.116164 & 0.877 & 0.192078 \tabularnewline
7 & -0.206278 & -1.5574 & 0.062459 \tabularnewline
8 & -0.304076 & -2.2957 & 0.012695 \tabularnewline
9 & 0.067685 & 0.511 & 0.305659 \tabularnewline
10 & -0.010887 & -0.0822 & 0.467391 \tabularnewline
11 & -0.142007 & -1.0721 & 0.14409 \tabularnewline
12 & -0.143317 & -1.082 & 0.141901 \tabularnewline
13 & 0.062852 & 0.4745 & 0.318469 \tabularnewline
14 & 0.01381 & 0.1043 & 0.458662 \tabularnewline
15 & 0.092745 & 0.7002 & 0.243323 \tabularnewline
16 & -0.030331 & -0.229 & 0.409845 \tabularnewline
17 & 0.046942 & 0.3544 & 0.362172 \tabularnewline
18 & -0.014072 & -0.1062 & 0.457881 \tabularnewline
19 & -0.183389 & -1.3846 & 0.085792 \tabularnewline
20 & -0.14566 & -1.0997 & 0.138041 \tabularnewline
21 & 0.103344 & 0.7802 & 0.219241 \tabularnewline
22 & -0.238014 & -1.797 & 0.03882 \tabularnewline
23 & 0.090859 & 0.686 & 0.247757 \tabularnewline
24 & -0.238367 & -1.7996 & 0.038606 \tabularnewline
25 & 0.029163 & 0.2202 & 0.413261 \tabularnewline
26 & 0.152546 & 1.1517 & 0.127127 \tabularnewline
27 & 0.11335 & 0.8558 & 0.197852 \tabularnewline
28 & -0.042652 & -0.322 & 0.374311 \tabularnewline
29 & -0.075565 & -0.5705 & 0.285289 \tabularnewline
30 & -0.179913 & -1.3583 & 0.089858 \tabularnewline
31 & -0.028997 & -0.2189 & 0.413746 \tabularnewline
32 & 0.01327 & 0.1002 & 0.460275 \tabularnewline
33 & 0.016201 & 0.1223 & 0.451539 \tabularnewline
34 & 0.037556 & 0.2835 & 0.388894 \tabularnewline
35 & -0.063515 & -0.4795 & 0.3167 \tabularnewline
36 & -0.092987 & -0.702 & 0.242756 \tabularnewline
37 & 0.045937 & 0.3468 & 0.365002 \tabularnewline
38 & -0.041509 & -0.3134 & 0.377565 \tabularnewline
39 & 0.073249 & 0.553 & 0.291208 \tabularnewline
40 & -0.089739 & -0.6775 & 0.250409 \tabularnewline
41 & 0.000576 & 0.0043 & 0.498273 \tabularnewline
42 & -0.045196 & -0.3412 & 0.367096 \tabularnewline
43 & -0.052166 & -0.3938 & 0.347584 \tabularnewline
44 & -0.040438 & -0.3053 & 0.380624 \tabularnewline
45 & 0.056599 & 0.4273 & 0.33538 \tabularnewline
46 & -0.109476 & -0.8265 & 0.205977 \tabularnewline
47 & 0.047868 & 0.3614 & 0.359571 \tabularnewline
48 & -0.052293 & -0.3948 & 0.347232 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33520&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]-0.14178[/C][C]-1.0704[/C][C]0.144471[/C][/ROW]
[ROW][C]2[/C][C]0.126373[/C][C]0.9541[/C][C]0.172032[/C][/ROW]
[ROW][C]3[/C][C]0.37696[/C][C]2.846[/C][C]0.003071[/C][/ROW]
[ROW][C]4[/C][C]0.04484[/C][C]0.3385[/C][C]0.368101[/C][/ROW]
[ROW][C]5[/C][C]0.036541[/C][C]0.2759[/C][C]0.391819[/C][/ROW]
[ROW][C]6[/C][C]0.116164[/C][C]0.877[/C][C]0.192078[/C][/ROW]
[ROW][C]7[/C][C]-0.206278[/C][C]-1.5574[/C][C]0.062459[/C][/ROW]
[ROW][C]8[/C][C]-0.304076[/C][C]-2.2957[/C][C]0.012695[/C][/ROW]
[ROW][C]9[/C][C]0.067685[/C][C]0.511[/C][C]0.305659[/C][/ROW]
[ROW][C]10[/C][C]-0.010887[/C][C]-0.0822[/C][C]0.467391[/C][/ROW]
[ROW][C]11[/C][C]-0.142007[/C][C]-1.0721[/C][C]0.14409[/C][/ROW]
[ROW][C]12[/C][C]-0.143317[/C][C]-1.082[/C][C]0.141901[/C][/ROW]
[ROW][C]13[/C][C]0.062852[/C][C]0.4745[/C][C]0.318469[/C][/ROW]
[ROW][C]14[/C][C]0.01381[/C][C]0.1043[/C][C]0.458662[/C][/ROW]
[ROW][C]15[/C][C]0.092745[/C][C]0.7002[/C][C]0.243323[/C][/ROW]
[ROW][C]16[/C][C]-0.030331[/C][C]-0.229[/C][C]0.409845[/C][/ROW]
[ROW][C]17[/C][C]0.046942[/C][C]0.3544[/C][C]0.362172[/C][/ROW]
[ROW][C]18[/C][C]-0.014072[/C][C]-0.1062[/C][C]0.457881[/C][/ROW]
[ROW][C]19[/C][C]-0.183389[/C][C]-1.3846[/C][C]0.085792[/C][/ROW]
[ROW][C]20[/C][C]-0.14566[/C][C]-1.0997[/C][C]0.138041[/C][/ROW]
[ROW][C]21[/C][C]0.103344[/C][C]0.7802[/C][C]0.219241[/C][/ROW]
[ROW][C]22[/C][C]-0.238014[/C][C]-1.797[/C][C]0.03882[/C][/ROW]
[ROW][C]23[/C][C]0.090859[/C][C]0.686[/C][C]0.247757[/C][/ROW]
[ROW][C]24[/C][C]-0.238367[/C][C]-1.7996[/C][C]0.038606[/C][/ROW]
[ROW][C]25[/C][C]0.029163[/C][C]0.2202[/C][C]0.413261[/C][/ROW]
[ROW][C]26[/C][C]0.152546[/C][C]1.1517[/C][C]0.127127[/C][/ROW]
[ROW][C]27[/C][C]0.11335[/C][C]0.8558[/C][C]0.197852[/C][/ROW]
[ROW][C]28[/C][C]-0.042652[/C][C]-0.322[/C][C]0.374311[/C][/ROW]
[ROW][C]29[/C][C]-0.075565[/C][C]-0.5705[/C][C]0.285289[/C][/ROW]
[ROW][C]30[/C][C]-0.179913[/C][C]-1.3583[/C][C]0.089858[/C][/ROW]
[ROW][C]31[/C][C]-0.028997[/C][C]-0.2189[/C][C]0.413746[/C][/ROW]
[ROW][C]32[/C][C]0.01327[/C][C]0.1002[/C][C]0.460275[/C][/ROW]
[ROW][C]33[/C][C]0.016201[/C][C]0.1223[/C][C]0.451539[/C][/ROW]
[ROW][C]34[/C][C]0.037556[/C][C]0.2835[/C][C]0.388894[/C][/ROW]
[ROW][C]35[/C][C]-0.063515[/C][C]-0.4795[/C][C]0.3167[/C][/ROW]
[ROW][C]36[/C][C]-0.092987[/C][C]-0.702[/C][C]0.242756[/C][/ROW]
[ROW][C]37[/C][C]0.045937[/C][C]0.3468[/C][C]0.365002[/C][/ROW]
[ROW][C]38[/C][C]-0.041509[/C][C]-0.3134[/C][C]0.377565[/C][/ROW]
[ROW][C]39[/C][C]0.073249[/C][C]0.553[/C][C]0.291208[/C][/ROW]
[ROW][C]40[/C][C]-0.089739[/C][C]-0.6775[/C][C]0.250409[/C][/ROW]
[ROW][C]41[/C][C]0.000576[/C][C]0.0043[/C][C]0.498273[/C][/ROW]
[ROW][C]42[/C][C]-0.045196[/C][C]-0.3412[/C][C]0.367096[/C][/ROW]
[ROW][C]43[/C][C]-0.052166[/C][C]-0.3938[/C][C]0.347584[/C][/ROW]
[ROW][C]44[/C][C]-0.040438[/C][C]-0.3053[/C][C]0.380624[/C][/ROW]
[ROW][C]45[/C][C]0.056599[/C][C]0.4273[/C][C]0.33538[/C][/ROW]
[ROW][C]46[/C][C]-0.109476[/C][C]-0.8265[/C][C]0.205977[/C][/ROW]
[ROW][C]47[/C][C]0.047868[/C][C]0.3614[/C][C]0.359571[/C][/ROW]
[ROW][C]48[/C][C]-0.052293[/C][C]-0.3948[/C][C]0.347232[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33520&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33520&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	-0.14178	-1.0704	0.144471
2	0.126373	0.9541	0.172032
3	0.37696	2.846	0.003071
4	0.04484	0.3385	0.368101
5	0.036541	0.2759	0.391819
6	0.116164	0.877	0.192078
7	-0.206278	-1.5574	0.062459
8	-0.304076	-2.2957	0.012695
9	0.067685	0.511	0.305659
10	-0.010887	-0.0822	0.467391
11	-0.142007	-1.0721	0.14409
12	-0.143317	-1.082	0.141901
13	0.062852	0.4745	0.318469
14	0.01381	0.1043	0.458662
15	0.092745	0.7002	0.243323
16	-0.030331	-0.229	0.409845
17	0.046942	0.3544	0.362172
18	-0.014072	-0.1062	0.457881
19	-0.183389	-1.3846	0.085792
20	-0.14566	-1.0997	0.138041
21	0.103344	0.7802	0.219241
22	-0.238014	-1.797	0.03882
23	0.090859	0.686	0.247757
24	-0.238367	-1.7996	0.038606
25	0.029163	0.2202	0.413261
26	0.152546	1.1517	0.127127
27	0.11335	0.8558	0.197852
28	-0.042652	-0.322	0.374311
29	-0.075565	-0.5705	0.285289
30	-0.179913	-1.3583	0.089858
31	-0.028997	-0.2189	0.413746
32	0.01327	0.1002	0.460275
33	0.016201	0.1223	0.451539
34	0.037556	0.2835	0.388894
35	-0.063515	-0.4795	0.3167
36	-0.092987	-0.702	0.242756
37	0.045937	0.3468	0.365002
38	-0.041509	-0.3134	0.377565
39	0.073249	0.553	0.291208
40	-0.089739	-0.6775	0.250409
41	0.000576	0.0043	0.498273
42	-0.045196	-0.3412	0.367096
43	-0.052166	-0.3938	0.347584
44	-0.040438	-0.3053	0.380624
45	0.056599	0.4273	0.33538
46	-0.109476	-0.8265	0.205977
47	0.047868	0.3614	0.359571
48	-0.052293	-0.3948	0.347232

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = -0.5 ; 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 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