Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 17 Dec 2009 13:39:59 -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/2009/Dec/17/t126108247377lqxj8kw0w5pjp.htm/, Retrieved Tue, 30 Apr 2024 07:49:52 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69103, Retrieved Tue, 30 Apr 2024 07:49:52 +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

170

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       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-    D        [(Partial) Autocorrelation Function] [Model 1 (d = 0, D...] [2009-11-24 17:27:24] [ee7c2e7343f5b1451e62c5c16ec521f1]
-    D          [(Partial) Autocorrelation Function] [Methode 1 (D=0, d=0)] [2009-11-27 12:01:23] [76ab39dc7a55316678260825bd5ad46c]
-    D            [(Partial) Autocorrelation Function] [methode 1 (d=0 D= 0)] [2009-11-27 20:21:42] [4b453aa14d54730625f8d3de5f1f6d82]
-    D              [(Partial) Autocorrelation Function] [koffie en thee] [2009-12-16 19:04:55] [7773f496f69461f4a67891f0ef752622]
-    D                [(Partial) Autocorrelation Function] [Thee] [2009-12-17 09:19:07] [7773f496f69461f4a67891f0ef752622]
-   PD                    [(Partial) Autocorrelation Function] [Correlatiefunctie...] [2009-12-17 20:39:59] [5c2088b06970f9a7d6fea063ee8d5871] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

1.77
1.76
1.77
1.95
1.98
1.93
1.94
1.92
1.94
1.92
1.92
1.94
1.91
1.88
1.98
2.4
2.47
2.22
1.98
1.89
1.87
1.88
1.86
1.81
1.79
1.78
1.73
1.88
1.91
1.9
1.84
1.85
1.83
1.82
1.82
1.81
1.75
1.74
1.73
1.96
2.07
1.96
1.87
1.84
1.81
1.78
1.72
1.73
1.64
1.61
1.63
1.92
1.88
1.68
1.58
1.49
1.46
1.44
1.44
1.42
1.4
1.38
1.36
1.48
1.56
1.51
1.51
1.42
1.4
1.38
1.35
1.29

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69103&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69103&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69103&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' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.305804	2.5767	0.006026
2	-0.276232	-2.3276	0.011395
3	-0.333486	-2.81	0.003198
4	-0.107304	-0.9042	0.184484
5	0.015825	0.1333	0.447148
6	0.029814	0.2512	0.401185
7	0.017026	0.1435	0.443165
8	-0.054966	-0.4632	0.322336
9	-0.176799	-1.4897	0.070361
10	-0.183155	-1.5433	0.063602
11	0.117298	0.9884	0.163163
12	0.540494	4.5543	1.1e-05
13	0.148242	1.2491	0.107864
14	-0.176052	-1.4834	0.071191
15	-0.195738	-1.6493	0.05175
16	-0.090181	-0.7599	0.224922
17	-0.002955	-0.0249	0.490104
18	0.038117	0.3212	0.374509
19	0.025015	0.2108	0.416832
20	-0.072515	-0.611	0.271569
21	-0.181743	-1.5314	0.065058
22	-0.162346	-1.368	0.087821
23	0.089064	0.7505	0.227726
24	0.41819	3.5237	0.000374
25	0.168032	1.4159	0.080594
26	-0.089877	-0.7573	0.225684
27	-0.110457	-0.9307	0.177573
28	-0.059799	-0.5039	0.307954
29	0.022962	0.1935	0.423568
30	0.016869	0.1421	0.443684
31	0.002021	0.017	0.493231
32	-0.061024	-0.5142	0.304356
33	-0.176533	-1.4875	0.070656
34	-0.119434	-1.0064	0.158828
35	0.154677	1.3033	0.098337
36	0.412531	3.4761	0.000436

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.305804 & 2.5767 & 0.006026 \tabularnewline
2 & -0.276232 & -2.3276 & 0.011395 \tabularnewline
3 & -0.333486 & -2.81 & 0.003198 \tabularnewline
4 & -0.107304 & -0.9042 & 0.184484 \tabularnewline
5 & 0.015825 & 0.1333 & 0.447148 \tabularnewline
6 & 0.029814 & 0.2512 & 0.401185 \tabularnewline
7 & 0.017026 & 0.1435 & 0.443165 \tabularnewline
8 & -0.054966 & -0.4632 & 0.322336 \tabularnewline
9 & -0.176799 & -1.4897 & 0.070361 \tabularnewline
10 & -0.183155 & -1.5433 & 0.063602 \tabularnewline
11 & 0.117298 & 0.9884 & 0.163163 \tabularnewline
12 & 0.540494 & 4.5543 & 1.1e-05 \tabularnewline
13 & 0.148242 & 1.2491 & 0.107864 \tabularnewline
14 & -0.176052 & -1.4834 & 0.071191 \tabularnewline
15 & -0.195738 & -1.6493 & 0.05175 \tabularnewline
16 & -0.090181 & -0.7599 & 0.224922 \tabularnewline
17 & -0.002955 & -0.0249 & 0.490104 \tabularnewline
18 & 0.038117 & 0.3212 & 0.374509 \tabularnewline
19 & 0.025015 & 0.2108 & 0.416832 \tabularnewline
20 & -0.072515 & -0.611 & 0.271569 \tabularnewline
21 & -0.181743 & -1.5314 & 0.065058 \tabularnewline
22 & -0.162346 & -1.368 & 0.087821 \tabularnewline
23 & 0.089064 & 0.7505 & 0.227726 \tabularnewline
24 & 0.41819 & 3.5237 & 0.000374 \tabularnewline
25 & 0.168032 & 1.4159 & 0.080594 \tabularnewline
26 & -0.089877 & -0.7573 & 0.225684 \tabularnewline
27 & -0.110457 & -0.9307 & 0.177573 \tabularnewline
28 & -0.059799 & -0.5039 & 0.307954 \tabularnewline
29 & 0.022962 & 0.1935 & 0.423568 \tabularnewline
30 & 0.016869 & 0.1421 & 0.443684 \tabularnewline
31 & 0.002021 & 0.017 & 0.493231 \tabularnewline
32 & -0.061024 & -0.5142 & 0.304356 \tabularnewline
33 & -0.176533 & -1.4875 & 0.070656 \tabularnewline
34 & -0.119434 & -1.0064 & 0.158828 \tabularnewline
35 & 0.154677 & 1.3033 & 0.098337 \tabularnewline
36 & 0.412531 & 3.4761 & 0.000436 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69103&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]0.305804[/C][C]2.5767[/C][C]0.006026[/C][/ROW]
[ROW][C]2[/C][C]-0.276232[/C][C]-2.3276[/C][C]0.011395[/C][/ROW]
[ROW][C]3[/C][C]-0.333486[/C][C]-2.81[/C][C]0.003198[/C][/ROW]
[ROW][C]4[/C][C]-0.107304[/C][C]-0.9042[/C][C]0.184484[/C][/ROW]
[ROW][C]5[/C][C]0.015825[/C][C]0.1333[/C][C]0.447148[/C][/ROW]
[ROW][C]6[/C][C]0.029814[/C][C]0.2512[/C][C]0.401185[/C][/ROW]
[ROW][C]7[/C][C]0.017026[/C][C]0.1435[/C][C]0.443165[/C][/ROW]
[ROW][C]8[/C][C]-0.054966[/C][C]-0.4632[/C][C]0.322336[/C][/ROW]
[ROW][C]9[/C][C]-0.176799[/C][C]-1.4897[/C][C]0.070361[/C][/ROW]
[ROW][C]10[/C][C]-0.183155[/C][C]-1.5433[/C][C]0.063602[/C][/ROW]
[ROW][C]11[/C][C]0.117298[/C][C]0.9884[/C][C]0.163163[/C][/ROW]
[ROW][C]12[/C][C]0.540494[/C][C]4.5543[/C][C]1.1e-05[/C][/ROW]
[ROW][C]13[/C][C]0.148242[/C][C]1.2491[/C][C]0.107864[/C][/ROW]
[ROW][C]14[/C][C]-0.176052[/C][C]-1.4834[/C][C]0.071191[/C][/ROW]
[ROW][C]15[/C][C]-0.195738[/C][C]-1.6493[/C][C]0.05175[/C][/ROW]
[ROW][C]16[/C][C]-0.090181[/C][C]-0.7599[/C][C]0.224922[/C][/ROW]
[ROW][C]17[/C][C]-0.002955[/C][C]-0.0249[/C][C]0.490104[/C][/ROW]
[ROW][C]18[/C][C]0.038117[/C][C]0.3212[/C][C]0.374509[/C][/ROW]
[ROW][C]19[/C][C]0.025015[/C][C]0.2108[/C][C]0.416832[/C][/ROW]
[ROW][C]20[/C][C]-0.072515[/C][C]-0.611[/C][C]0.271569[/C][/ROW]
[ROW][C]21[/C][C]-0.181743[/C][C]-1.5314[/C][C]0.065058[/C][/ROW]
[ROW][C]22[/C][C]-0.162346[/C][C]-1.368[/C][C]0.087821[/C][/ROW]
[ROW][C]23[/C][C]0.089064[/C][C]0.7505[/C][C]0.227726[/C][/ROW]
[ROW][C]24[/C][C]0.41819[/C][C]3.5237[/C][C]0.000374[/C][/ROW]
[ROW][C]25[/C][C]0.168032[/C][C]1.4159[/C][C]0.080594[/C][/ROW]
[ROW][C]26[/C][C]-0.089877[/C][C]-0.7573[/C][C]0.225684[/C][/ROW]
[ROW][C]27[/C][C]-0.110457[/C][C]-0.9307[/C][C]0.177573[/C][/ROW]
[ROW][C]28[/C][C]-0.059799[/C][C]-0.5039[/C][C]0.307954[/C][/ROW]
[ROW][C]29[/C][C]0.022962[/C][C]0.1935[/C][C]0.423568[/C][/ROW]
[ROW][C]30[/C][C]0.016869[/C][C]0.1421[/C][C]0.443684[/C][/ROW]
[ROW][C]31[/C][C]0.002021[/C][C]0.017[/C][C]0.493231[/C][/ROW]
[ROW][C]32[/C][C]-0.061024[/C][C]-0.5142[/C][C]0.304356[/C][/ROW]
[ROW][C]33[/C][C]-0.176533[/C][C]-1.4875[/C][C]0.070656[/C][/ROW]
[ROW][C]34[/C][C]-0.119434[/C][C]-1.0064[/C][C]0.158828[/C][/ROW]
[ROW][C]35[/C][C]0.154677[/C][C]1.3033[/C][C]0.098337[/C][/ROW]
[ROW][C]36[/C][C]0.412531[/C][C]3.4761[/C][C]0.000436[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69103&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69103&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	0.305804	2.5767	0.006026
2	-0.276232	-2.3276	0.011395
3	-0.333486	-2.81	0.003198
4	-0.107304	-0.9042	0.184484
5	0.015825	0.1333	0.447148
6	0.029814	0.2512	0.401185
7	0.017026	0.1435	0.443165
8	-0.054966	-0.4632	0.322336
9	-0.176799	-1.4897	0.070361
10	-0.183155	-1.5433	0.063602
11	0.117298	0.9884	0.163163
12	0.540494	4.5543	1.1e-05
13	0.148242	1.2491	0.107864
14	-0.176052	-1.4834	0.071191
15	-0.195738	-1.6493	0.05175
16	-0.090181	-0.7599	0.224922
17	-0.002955	-0.0249	0.490104
18	0.038117	0.3212	0.374509
19	0.025015	0.2108	0.416832
20	-0.072515	-0.611	0.271569
21	-0.181743	-1.5314	0.065058
22	-0.162346	-1.368	0.087821
23	0.089064	0.7505	0.227726
24	0.41819	3.5237	0.000374
25	0.168032	1.4159	0.080594
26	-0.089877	-0.7573	0.225684
27	-0.110457	-0.9307	0.177573
28	-0.059799	-0.5039	0.307954
29	0.022962	0.1935	0.423568
30	0.016869	0.1421	0.443684
31	0.002021	0.017	0.493231
32	-0.061024	-0.5142	0.304356
33	-0.176533	-1.4875	0.070656
34	-0.119434	-1.0064	0.158828
35	0.154677	1.3033	0.098337
36	0.412531	3.4761	0.000436

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.305804	2.5767	0.006026
2	-0.407892	-3.437	0.000494
3	-0.118865	-1.0016	0.159974
4	-0.056485	-0.476	0.317785
5	-0.106621	-0.8984	0.186002
6	-0.048175	-0.4059	0.343006
7	-0.033681	-0.2838	0.388695
8	-0.116277	-0.9798	0.165263
9	-0.203607	-1.7156	0.045296
10	-0.179793	-1.515	0.06711
11	0.097145	0.8186	0.20789
12	0.409875	3.4537	0.000468
13	-0.278369	-2.3456	0.010898
14	0.183055	1.5424	0.063705
15	0.004157	0.035	0.486078
16	-0.107153	-0.9029	0.184818
17	0.055161	0.4648	0.321751
18	-0.012402	-0.1045	0.458532
19	-0.054318	-0.4577	0.324285
20	-0.077869	-0.6561	0.256929
21	-0.126553	-1.0664	0.144938
22	-0.050795	-0.428	0.33497
23	0.004853	0.0409	0.483749
24	0.04921	0.4147	0.339824
25	0.032136	0.2708	0.393672
26	0.015288	0.1288	0.448931
27	0.072891	0.6142	0.270527
28	0.024543	0.2068	0.418377
29	0.084521	0.7122	0.239341
30	-0.045704	-0.3851	0.350653
31	0.043811	0.3692	0.356556
32	0.002656	0.0224	0.491105
33	-0.126196	-1.0633	0.145614
34	0.090805	0.7651	0.223363
35	0.123779	1.043	0.150249
36	0.070072	0.5904	0.278386

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.305804 & 2.5767 & 0.006026 \tabularnewline
2 & -0.407892 & -3.437 & 0.000494 \tabularnewline
3 & -0.118865 & -1.0016 & 0.159974 \tabularnewline
4 & -0.056485 & -0.476 & 0.317785 \tabularnewline
5 & -0.106621 & -0.8984 & 0.186002 \tabularnewline
6 & -0.048175 & -0.4059 & 0.343006 \tabularnewline
7 & -0.033681 & -0.2838 & 0.388695 \tabularnewline
8 & -0.116277 & -0.9798 & 0.165263 \tabularnewline
9 & -0.203607 & -1.7156 & 0.045296 \tabularnewline
10 & -0.179793 & -1.515 & 0.06711 \tabularnewline
11 & 0.097145 & 0.8186 & 0.20789 \tabularnewline
12 & 0.409875 & 3.4537 & 0.000468 \tabularnewline
13 & -0.278369 & -2.3456 & 0.010898 \tabularnewline
14 & 0.183055 & 1.5424 & 0.063705 \tabularnewline
15 & 0.004157 & 0.035 & 0.486078 \tabularnewline
16 & -0.107153 & -0.9029 & 0.184818 \tabularnewline
17 & 0.055161 & 0.4648 & 0.321751 \tabularnewline
18 & -0.012402 & -0.1045 & 0.458532 \tabularnewline
19 & -0.054318 & -0.4577 & 0.324285 \tabularnewline
20 & -0.077869 & -0.6561 & 0.256929 \tabularnewline
21 & -0.126553 & -1.0664 & 0.144938 \tabularnewline
22 & -0.050795 & -0.428 & 0.33497 \tabularnewline
23 & 0.004853 & 0.0409 & 0.483749 \tabularnewline
24 & 0.04921 & 0.4147 & 0.339824 \tabularnewline
25 & 0.032136 & 0.2708 & 0.393672 \tabularnewline
26 & 0.015288 & 0.1288 & 0.448931 \tabularnewline
27 & 0.072891 & 0.6142 & 0.270527 \tabularnewline
28 & 0.024543 & 0.2068 & 0.418377 \tabularnewline
29 & 0.084521 & 0.7122 & 0.239341 \tabularnewline
30 & -0.045704 & -0.3851 & 0.350653 \tabularnewline
31 & 0.043811 & 0.3692 & 0.356556 \tabularnewline
32 & 0.002656 & 0.0224 & 0.491105 \tabularnewline
33 & -0.126196 & -1.0633 & 0.145614 \tabularnewline
34 & 0.090805 & 0.7651 & 0.223363 \tabularnewline
35 & 0.123779 & 1.043 & 0.150249 \tabularnewline
36 & 0.070072 & 0.5904 & 0.278386 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69103&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]0.305804[/C][C]2.5767[/C][C]0.006026[/C][/ROW]
[ROW][C]2[/C][C]-0.407892[/C][C]-3.437[/C][C]0.000494[/C][/ROW]
[ROW][C]3[/C][C]-0.118865[/C][C]-1.0016[/C][C]0.159974[/C][/ROW]
[ROW][C]4[/C][C]-0.056485[/C][C]-0.476[/C][C]0.317785[/C][/ROW]
[ROW][C]5[/C][C]-0.106621[/C][C]-0.8984[/C][C]0.186002[/C][/ROW]
[ROW][C]6[/C][C]-0.048175[/C][C]-0.4059[/C][C]0.343006[/C][/ROW]
[ROW][C]7[/C][C]-0.033681[/C][C]-0.2838[/C][C]0.388695[/C][/ROW]
[ROW][C]8[/C][C]-0.116277[/C][C]-0.9798[/C][C]0.165263[/C][/ROW]
[ROW][C]9[/C][C]-0.203607[/C][C]-1.7156[/C][C]0.045296[/C][/ROW]
[ROW][C]10[/C][C]-0.179793[/C][C]-1.515[/C][C]0.06711[/C][/ROW]
[ROW][C]11[/C][C]0.097145[/C][C]0.8186[/C][C]0.20789[/C][/ROW]
[ROW][C]12[/C][C]0.409875[/C][C]3.4537[/C][C]0.000468[/C][/ROW]
[ROW][C]13[/C][C]-0.278369[/C][C]-2.3456[/C][C]0.010898[/C][/ROW]
[ROW][C]14[/C][C]0.183055[/C][C]1.5424[/C][C]0.063705[/C][/ROW]
[ROW][C]15[/C][C]0.004157[/C][C]0.035[/C][C]0.486078[/C][/ROW]
[ROW][C]16[/C][C]-0.107153[/C][C]-0.9029[/C][C]0.184818[/C][/ROW]
[ROW][C]17[/C][C]0.055161[/C][C]0.4648[/C][C]0.321751[/C][/ROW]
[ROW][C]18[/C][C]-0.012402[/C][C]-0.1045[/C][C]0.458532[/C][/ROW]
[ROW][C]19[/C][C]-0.054318[/C][C]-0.4577[/C][C]0.324285[/C][/ROW]
[ROW][C]20[/C][C]-0.077869[/C][C]-0.6561[/C][C]0.256929[/C][/ROW]
[ROW][C]21[/C][C]-0.126553[/C][C]-1.0664[/C][C]0.144938[/C][/ROW]
[ROW][C]22[/C][C]-0.050795[/C][C]-0.428[/C][C]0.33497[/C][/ROW]
[ROW][C]23[/C][C]0.004853[/C][C]0.0409[/C][C]0.483749[/C][/ROW]
[ROW][C]24[/C][C]0.04921[/C][C]0.4147[/C][C]0.339824[/C][/ROW]
[ROW][C]25[/C][C]0.032136[/C][C]0.2708[/C][C]0.393672[/C][/ROW]
[ROW][C]26[/C][C]0.015288[/C][C]0.1288[/C][C]0.448931[/C][/ROW]
[ROW][C]27[/C][C]0.072891[/C][C]0.6142[/C][C]0.270527[/C][/ROW]
[ROW][C]28[/C][C]0.024543[/C][C]0.2068[/C][C]0.418377[/C][/ROW]
[ROW][C]29[/C][C]0.084521[/C][C]0.7122[/C][C]0.239341[/C][/ROW]
[ROW][C]30[/C][C]-0.045704[/C][C]-0.3851[/C][C]0.350653[/C][/ROW]
[ROW][C]31[/C][C]0.043811[/C][C]0.3692[/C][C]0.356556[/C][/ROW]
[ROW][C]32[/C][C]0.002656[/C][C]0.0224[/C][C]0.491105[/C][/ROW]
[ROW][C]33[/C][C]-0.126196[/C][C]-1.0633[/C][C]0.145614[/C][/ROW]
[ROW][C]34[/C][C]0.090805[/C][C]0.7651[/C][C]0.223363[/C][/ROW]
[ROW][C]35[/C][C]0.123779[/C][C]1.043[/C][C]0.150249[/C][/ROW]
[ROW][C]36[/C][C]0.070072[/C][C]0.5904[/C][C]0.278386[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69103&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69103&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	0.305804	2.5767	0.006026
2	-0.407892	-3.437	0.000494
3	-0.118865	-1.0016	0.159974
4	-0.056485	-0.476	0.317785
5	-0.106621	-0.8984	0.186002
6	-0.048175	-0.4059	0.343006
7	-0.033681	-0.2838	0.388695
8	-0.116277	-0.9798	0.165263
9	-0.203607	-1.7156	0.045296
10	-0.179793	-1.515	0.06711
11	0.097145	0.8186	0.20789
12	0.409875	3.4537	0.000468
13	-0.278369	-2.3456	0.010898
14	0.183055	1.5424	0.063705
15	0.004157	0.035	0.486078
16	-0.107153	-0.9029	0.184818
17	0.055161	0.4648	0.321751
18	-0.012402	-0.1045	0.458532
19	-0.054318	-0.4577	0.324285
20	-0.077869	-0.6561	0.256929
21	-0.126553	-1.0664	0.144938
22	-0.050795	-0.428	0.33497
23	0.004853	0.0409	0.483749
24	0.04921	0.4147	0.339824
25	0.032136	0.2708	0.393672
26	0.015288	0.1288	0.448931
27	0.072891	0.6142	0.270527
28	0.024543	0.2068	0.418377
29	0.084521	0.7122	0.239341
30	-0.045704	-0.3851	0.350653
31	0.043811	0.3692	0.356556
32	0.002656	0.0224	0.491105
33	-0.126196	-1.0633	0.145614
34	0.090805	0.7651	0.223363
35	0.123779	1.043	0.150249
36	0.070072	0.5904	0.278386

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; 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