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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 27 Nov 2009 09:57:28 -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/2009/Nov/27/t1259341105b8fqc4zd8i3u0xk.htm/, Retrieved Mon, 29 Apr 2024 04:41:07 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61003, Retrieved Mon, 29 Apr 2024 04:41:07 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

137

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] [WS8 Identifying I...] [2009-11-27 16:18:42] [8733f8ed033058987ec00f5e71b74854]
-   PD            [(Partial) Autocorrelation Function] [WS8 Identifying I...] [2009-11-27 16:57:28] [c6e373ff11c42d4585d53e9e88ed5606] [Current]
-                   [(Partial) Autocorrelation Function] [WS8 Identifying I...] [2009-11-27 17:05:41] [8733f8ed033058987ec00f5e71b74854] 
-                     [(Partial) Autocorrelation Function] [WS8 Identifying I...] [2009-11-27 17:12:07] [8733f8ed033058987ec00f5e71b74854] 
-                       [(Partial) Autocorrelation Function] [WS8 Identifying I...] [2009-11-27 17:21:03] [8733f8ed033058987ec00f5e71b74854] 
-   P                     [(Partial) Autocorrelation Function] [WS9 Estimation of...] [2009-12-04 12:54:41] [8733f8ed033058987ec00f5e71b74854] 

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Dataseries X:

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Histogram

Boxplots

7.1
6.9
6.8
7.5
7.6
7.8
8.0
8.1
8.2
8.3
8.2
8.0
7.9
7.6
7.6
8.3
8.4
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.4
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.5
8.2
8.1
7.9
8.6
8.7
8.7
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.0
8.2
8.1
8.1
8.0
7.9
7.9
8.0
8.0
7.9
8.0
7.7
7.2
7.5
7.3
7.0
7.0
7.0
7.2
7.3
7.1
6.8
6.4
6.1
6.5
7.7
7.9
7.5
6.9
6.6
6.9
7.7
8.0
8.0
7.7
7.3
7.4
8.1
8.3
8.2

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=61003&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=61003&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61003&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	0.846657	8.0321	0
2	0.583394	5.5346	0
3	0.391507	3.7142	0.000177
4	0.377074	3.5772	0.000281
5	0.482314	4.5756	8e-06
6	0.564989	5.36	0
7	0.519031	4.924	2e-06
8	0.392699	3.7255	0.00017
9	0.299226	2.8387	0.002799
10	0.306382	2.9066	0.0023
11	0.387477	3.6759	0.000201
12	0.441868	4.1919	3.2e-05
13	0.342718	3.2513	0.000809
14	0.189129	1.7942	0.038067
15	0.064548	0.6124	0.270922
16	0.021604	0.205	0.419035
17	0.033343	0.3163	0.376246
18	0.039706	0.3767	0.353648
19	-0.000134	-0.0013	0.499496
20	-0.055622	-0.5277	0.299513
21	-0.085662	-0.8127	0.209277
22	-0.073832	-0.7004	0.242731
23	-0.041731	-0.3959	0.346558
24	-0.033029	-0.3133	0.377375
25	-0.119134	-1.1302	0.130697
26	-0.20832	-1.9763	0.025591
27	-0.25999	-2.4665	0.007769
28	-0.245855	-2.3324	0.010956
29	-0.205981	-1.9541	0.026897
30	-0.187919	-1.7828	0.038999
31	-0.219974	-2.0869	0.019864
32	-0.272854	-2.5885	0.005619
33	-0.295425	-2.8026	0.003103
34	-0.275103	-2.6099	0.005304
35	-0.23269	-2.2075	0.014911
36	-0.202347	-1.9196	0.029036

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.846657 & 8.0321 & 0 \tabularnewline
2 & 0.583394 & 5.5346 & 0 \tabularnewline
3 & 0.391507 & 3.7142 & 0.000177 \tabularnewline
4 & 0.377074 & 3.5772 & 0.000281 \tabularnewline
5 & 0.482314 & 4.5756 & 8e-06 \tabularnewline
6 & 0.564989 & 5.36 & 0 \tabularnewline
7 & 0.519031 & 4.924 & 2e-06 \tabularnewline
8 & 0.392699 & 3.7255 & 0.00017 \tabularnewline
9 & 0.299226 & 2.8387 & 0.002799 \tabularnewline
10 & 0.306382 & 2.9066 & 0.0023 \tabularnewline
11 & 0.387477 & 3.6759 & 0.000201 \tabularnewline
12 & 0.441868 & 4.1919 & 3.2e-05 \tabularnewline
13 & 0.342718 & 3.2513 & 0.000809 \tabularnewline
14 & 0.189129 & 1.7942 & 0.038067 \tabularnewline
15 & 0.064548 & 0.6124 & 0.270922 \tabularnewline
16 & 0.021604 & 0.205 & 0.419035 \tabularnewline
17 & 0.033343 & 0.3163 & 0.376246 \tabularnewline
18 & 0.039706 & 0.3767 & 0.353648 \tabularnewline
19 & -0.000134 & -0.0013 & 0.499496 \tabularnewline
20 & -0.055622 & -0.5277 & 0.299513 \tabularnewline
21 & -0.085662 & -0.8127 & 0.209277 \tabularnewline
22 & -0.073832 & -0.7004 & 0.242731 \tabularnewline
23 & -0.041731 & -0.3959 & 0.346558 \tabularnewline
24 & -0.033029 & -0.3133 & 0.377375 \tabularnewline
25 & -0.119134 & -1.1302 & 0.130697 \tabularnewline
26 & -0.20832 & -1.9763 & 0.025591 \tabularnewline
27 & -0.25999 & -2.4665 & 0.007769 \tabularnewline
28 & -0.245855 & -2.3324 & 0.010956 \tabularnewline
29 & -0.205981 & -1.9541 & 0.026897 \tabularnewline
30 & -0.187919 & -1.7828 & 0.038999 \tabularnewline
31 & -0.219974 & -2.0869 & 0.019864 \tabularnewline
32 & -0.272854 & -2.5885 & 0.005619 \tabularnewline
33 & -0.295425 & -2.8026 & 0.003103 \tabularnewline
34 & -0.275103 & -2.6099 & 0.005304 \tabularnewline
35 & -0.23269 & -2.2075 & 0.014911 \tabularnewline
36 & -0.202347 & -1.9196 & 0.029036 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61003&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]0.846657[/C][C]8.0321[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.583394[/C][C]5.5346[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.391507[/C][C]3.7142[/C][C]0.000177[/C][/ROW]
[ROW][C]4[/C][C]0.377074[/C][C]3.5772[/C][C]0.000281[/C][/ROW]
[ROW][C]5[/C][C]0.482314[/C][C]4.5756[/C][C]8e-06[/C][/ROW]
[ROW][C]6[/C][C]0.564989[/C][C]5.36[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.519031[/C][C]4.924[/C][C]2e-06[/C][/ROW]
[ROW][C]8[/C][C]0.392699[/C][C]3.7255[/C][C]0.00017[/C][/ROW]
[ROW][C]9[/C][C]0.299226[/C][C]2.8387[/C][C]0.002799[/C][/ROW]
[ROW][C]10[/C][C]0.306382[/C][C]2.9066[/C][C]0.0023[/C][/ROW]
[ROW][C]11[/C][C]0.387477[/C][C]3.6759[/C][C]0.000201[/C][/ROW]
[ROW][C]12[/C][C]0.441868[/C][C]4.1919[/C][C]3.2e-05[/C][/ROW]
[ROW][C]13[/C][C]0.342718[/C][C]3.2513[/C][C]0.000809[/C][/ROW]
[ROW][C]14[/C][C]0.189129[/C][C]1.7942[/C][C]0.038067[/C][/ROW]
[ROW][C]15[/C][C]0.064548[/C][C]0.6124[/C][C]0.270922[/C][/ROW]
[ROW][C]16[/C][C]0.021604[/C][C]0.205[/C][C]0.419035[/C][/ROW]
[ROW][C]17[/C][C]0.033343[/C][C]0.3163[/C][C]0.376246[/C][/ROW]
[ROW][C]18[/C][C]0.039706[/C][C]0.3767[/C][C]0.353648[/C][/ROW]
[ROW][C]19[/C][C]-0.000134[/C][C]-0.0013[/C][C]0.499496[/C][/ROW]
[ROW][C]20[/C][C]-0.055622[/C][C]-0.5277[/C][C]0.299513[/C][/ROW]
[ROW][C]21[/C][C]-0.085662[/C][C]-0.8127[/C][C]0.209277[/C][/ROW]
[ROW][C]22[/C][C]-0.073832[/C][C]-0.7004[/C][C]0.242731[/C][/ROW]
[ROW][C]23[/C][C]-0.041731[/C][C]-0.3959[/C][C]0.346558[/C][/ROW]
[ROW][C]24[/C][C]-0.033029[/C][C]-0.3133[/C][C]0.377375[/C][/ROW]
[ROW][C]25[/C][C]-0.119134[/C][C]-1.1302[/C][C]0.130697[/C][/ROW]
[ROW][C]26[/C][C]-0.20832[/C][C]-1.9763[/C][C]0.025591[/C][/ROW]
[ROW][C]27[/C][C]-0.25999[/C][C]-2.4665[/C][C]0.007769[/C][/ROW]
[ROW][C]28[/C][C]-0.245855[/C][C]-2.3324[/C][C]0.010956[/C][/ROW]
[ROW][C]29[/C][C]-0.205981[/C][C]-1.9541[/C][C]0.026897[/C][/ROW]
[ROW][C]30[/C][C]-0.187919[/C][C]-1.7828[/C][C]0.038999[/C][/ROW]
[ROW][C]31[/C][C]-0.219974[/C][C]-2.0869[/C][C]0.019864[/C][/ROW]
[ROW][C]32[/C][C]-0.272854[/C][C]-2.5885[/C][C]0.005619[/C][/ROW]
[ROW][C]33[/C][C]-0.295425[/C][C]-2.8026[/C][C]0.003103[/C][/ROW]
[ROW][C]34[/C][C]-0.275103[/C][C]-2.6099[/C][C]0.005304[/C][/ROW]
[ROW][C]35[/C][C]-0.23269[/C][C]-2.2075[/C][C]0.014911[/C][/ROW]
[ROW][C]36[/C][C]-0.202347[/C][C]-1.9196[/C][C]0.029036[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61003&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61003&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	0.846657	8.0321	0
2	0.583394	5.5346	0
3	0.391507	3.7142	0.000177
4	0.377074	3.5772	0.000281
5	0.482314	4.5756	8e-06
6	0.564989	5.36	0
7	0.519031	4.924	2e-06
8	0.392699	3.7255	0.00017
9	0.299226	2.8387	0.002799
10	0.306382	2.9066	0.0023
11	0.387477	3.6759	0.000201
12	0.441868	4.1919	3.2e-05
13	0.342718	3.2513	0.000809
14	0.189129	1.7942	0.038067
15	0.064548	0.6124	0.270922
16	0.021604	0.205	0.419035
17	0.033343	0.3163	0.376246
18	0.039706	0.3767	0.353648
19	-0.000134	-0.0013	0.499496
20	-0.055622	-0.5277	0.299513
21	-0.085662	-0.8127	0.209277
22	-0.073832	-0.7004	0.242731
23	-0.041731	-0.3959	0.346558
24	-0.033029	-0.3133	0.377375
25	-0.119134	-1.1302	0.130697
26	-0.20832	-1.9763	0.025591
27	-0.25999	-2.4665	0.007769
28	-0.245855	-2.3324	0.010956
29	-0.205981	-1.9541	0.026897
30	-0.187919	-1.7828	0.038999
31	-0.219974	-2.0869	0.019864
32	-0.272854	-2.5885	0.005619
33	-0.295425	-2.8026	0.003103
34	-0.275103	-2.6099	0.005304
35	-0.23269	-2.2075	0.014911
36	-0.202347	-1.9196	0.029036

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.846657	8.0321	0
2	-0.471211	-4.4703	1.1e-05
3	0.289513	2.7466	0.003637
4	0.377374	3.5801	0.000278
5	0.121384	1.1515	0.126278
6	-0.05096	-0.4835	0.314974
7	-0.126676	-1.2018	0.116306
8	0.108844	1.0326	0.152282
9	0.114866	1.0897	0.139375
10	0.033774	0.3204	0.374701
11	0.0361	0.3425	0.366397
12	-0.04552	-0.4318	0.333445
13	-0.401316	-3.8072	0.000128
14	0.274342	2.6026	0.005409
15	-0.192775	-1.8288	0.035369
16	-0.24857	-2.3581	0.010266
17	-0.082996	-0.7874	0.216568
18	-0.007712	-0.0732	0.470921
19	0.054953	0.5213	0.301709
20	-0.016642	-0.1579	0.437452
21	-0.03113	-0.2953	0.384212
22	0.088431	0.8389	0.201865
23	-0.002116	-0.0201	0.492015
24	0.014717	0.1396	0.444636
25	-0.16043	-1.522	0.065762
26	0.12309	1.1677	0.123
27	-0.049373	-0.4684	0.320318
28	0.041579	0.3945	0.34709
29	-0.031198	-0.296	0.383966
30	-0.033482	-0.3176	0.375746
31	-0.040556	-0.3847	0.350666
32	-0.081532	-0.7735	0.220633
33	0.064864	0.6154	0.269936
34	-0.077551	-0.7357	0.23191
35	-0.097292	-0.923	0.17924
36	0.064662	0.6134	0.270568

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.846657 & 8.0321 & 0 \tabularnewline
2 & -0.471211 & -4.4703 & 1.1e-05 \tabularnewline
3 & 0.289513 & 2.7466 & 0.003637 \tabularnewline
4 & 0.377374 & 3.5801 & 0.000278 \tabularnewline
5 & 0.121384 & 1.1515 & 0.126278 \tabularnewline
6 & -0.05096 & -0.4835 & 0.314974 \tabularnewline
7 & -0.126676 & -1.2018 & 0.116306 \tabularnewline
8 & 0.108844 & 1.0326 & 0.152282 \tabularnewline
9 & 0.114866 & 1.0897 & 0.139375 \tabularnewline
10 & 0.033774 & 0.3204 & 0.374701 \tabularnewline
11 & 0.0361 & 0.3425 & 0.366397 \tabularnewline
12 & -0.04552 & -0.4318 & 0.333445 \tabularnewline
13 & -0.401316 & -3.8072 & 0.000128 \tabularnewline
14 & 0.274342 & 2.6026 & 0.005409 \tabularnewline
15 & -0.192775 & -1.8288 & 0.035369 \tabularnewline
16 & -0.24857 & -2.3581 & 0.010266 \tabularnewline
17 & -0.082996 & -0.7874 & 0.216568 \tabularnewline
18 & -0.007712 & -0.0732 & 0.470921 \tabularnewline
19 & 0.054953 & 0.5213 & 0.301709 \tabularnewline
20 & -0.016642 & -0.1579 & 0.437452 \tabularnewline
21 & -0.03113 & -0.2953 & 0.384212 \tabularnewline
22 & 0.088431 & 0.8389 & 0.201865 \tabularnewline
23 & -0.002116 & -0.0201 & 0.492015 \tabularnewline
24 & 0.014717 & 0.1396 & 0.444636 \tabularnewline
25 & -0.16043 & -1.522 & 0.065762 \tabularnewline
26 & 0.12309 & 1.1677 & 0.123 \tabularnewline
27 & -0.049373 & -0.4684 & 0.320318 \tabularnewline
28 & 0.041579 & 0.3945 & 0.34709 \tabularnewline
29 & -0.031198 & -0.296 & 0.383966 \tabularnewline
30 & -0.033482 & -0.3176 & 0.375746 \tabularnewline
31 & -0.040556 & -0.3847 & 0.350666 \tabularnewline
32 & -0.081532 & -0.7735 & 0.220633 \tabularnewline
33 & 0.064864 & 0.6154 & 0.269936 \tabularnewline
34 & -0.077551 & -0.7357 & 0.23191 \tabularnewline
35 & -0.097292 & -0.923 & 0.17924 \tabularnewline
36 & 0.064662 & 0.6134 & 0.270568 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61003&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]0.846657[/C][C]8.0321[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.471211[/C][C]-4.4703[/C][C]1.1e-05[/C][/ROW]
[ROW][C]3[/C][C]0.289513[/C][C]2.7466[/C][C]0.003637[/C][/ROW]
[ROW][C]4[/C][C]0.377374[/C][C]3.5801[/C][C]0.000278[/C][/ROW]
[ROW][C]5[/C][C]0.121384[/C][C]1.1515[/C][C]0.126278[/C][/ROW]
[ROW][C]6[/C][C]-0.05096[/C][C]-0.4835[/C][C]0.314974[/C][/ROW]
[ROW][C]7[/C][C]-0.126676[/C][C]-1.2018[/C][C]0.116306[/C][/ROW]
[ROW][C]8[/C][C]0.108844[/C][C]1.0326[/C][C]0.152282[/C][/ROW]
[ROW][C]9[/C][C]0.114866[/C][C]1.0897[/C][C]0.139375[/C][/ROW]
[ROW][C]10[/C][C]0.033774[/C][C]0.3204[/C][C]0.374701[/C][/ROW]
[ROW][C]11[/C][C]0.0361[/C][C]0.3425[/C][C]0.366397[/C][/ROW]
[ROW][C]12[/C][C]-0.04552[/C][C]-0.4318[/C][C]0.333445[/C][/ROW]
[ROW][C]13[/C][C]-0.401316[/C][C]-3.8072[/C][C]0.000128[/C][/ROW]
[ROW][C]14[/C][C]0.274342[/C][C]2.6026[/C][C]0.005409[/C][/ROW]
[ROW][C]15[/C][C]-0.192775[/C][C]-1.8288[/C][C]0.035369[/C][/ROW]
[ROW][C]16[/C][C]-0.24857[/C][C]-2.3581[/C][C]0.010266[/C][/ROW]
[ROW][C]17[/C][C]-0.082996[/C][C]-0.7874[/C][C]0.216568[/C][/ROW]
[ROW][C]18[/C][C]-0.007712[/C][C]-0.0732[/C][C]0.470921[/C][/ROW]
[ROW][C]19[/C][C]0.054953[/C][C]0.5213[/C][C]0.301709[/C][/ROW]
[ROW][C]20[/C][C]-0.016642[/C][C]-0.1579[/C][C]0.437452[/C][/ROW]
[ROW][C]21[/C][C]-0.03113[/C][C]-0.2953[/C][C]0.384212[/C][/ROW]
[ROW][C]22[/C][C]0.088431[/C][C]0.8389[/C][C]0.201865[/C][/ROW]
[ROW][C]23[/C][C]-0.002116[/C][C]-0.0201[/C][C]0.492015[/C][/ROW]
[ROW][C]24[/C][C]0.014717[/C][C]0.1396[/C][C]0.444636[/C][/ROW]
[ROW][C]25[/C][C]-0.16043[/C][C]-1.522[/C][C]0.065762[/C][/ROW]
[ROW][C]26[/C][C]0.12309[/C][C]1.1677[/C][C]0.123[/C][/ROW]
[ROW][C]27[/C][C]-0.049373[/C][C]-0.4684[/C][C]0.320318[/C][/ROW]
[ROW][C]28[/C][C]0.041579[/C][C]0.3945[/C][C]0.34709[/C][/ROW]
[ROW][C]29[/C][C]-0.031198[/C][C]-0.296[/C][C]0.383966[/C][/ROW]
[ROW][C]30[/C][C]-0.033482[/C][C]-0.3176[/C][C]0.375746[/C][/ROW]
[ROW][C]31[/C][C]-0.040556[/C][C]-0.3847[/C][C]0.350666[/C][/ROW]
[ROW][C]32[/C][C]-0.081532[/C][C]-0.7735[/C][C]0.220633[/C][/ROW]
[ROW][C]33[/C][C]0.064864[/C][C]0.6154[/C][C]0.269936[/C][/ROW]
[ROW][C]34[/C][C]-0.077551[/C][C]-0.7357[/C][C]0.23191[/C][/ROW]
[ROW][C]35[/C][C]-0.097292[/C][C]-0.923[/C][C]0.17924[/C][/ROW]
[ROW][C]36[/C][C]0.064662[/C][C]0.6134[/C][C]0.270568[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61003&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61003&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	0.846657	8.0321	0
2	-0.471211	-4.4703	1.1e-05
3	0.289513	2.7466	0.003637
4	0.377374	3.5801	0.000278
5	0.121384	1.1515	0.126278
6	-0.05096	-0.4835	0.314974
7	-0.126676	-1.2018	0.116306
8	0.108844	1.0326	0.152282
9	0.114866	1.0897	0.139375
10	0.033774	0.3204	0.374701
11	0.0361	0.3425	0.366397
12	-0.04552	-0.4318	0.333445
13	-0.401316	-3.8072	0.000128
14	0.274342	2.6026	0.005409
15	-0.192775	-1.8288	0.035369
16	-0.24857	-2.3581	0.010266
17	-0.082996	-0.7874	0.216568
18	-0.007712	-0.0732	0.470921
19	0.054953	0.5213	0.301709
20	-0.016642	-0.1579	0.437452
21	-0.03113	-0.2953	0.384212
22	0.088431	0.8389	0.201865
23	-0.002116	-0.0201	0.492015
24	0.014717	0.1396	0.444636
25	-0.16043	-1.522	0.065762
26	0.12309	1.1677	0.123
27	-0.049373	-0.4684	0.320318
28	0.041579	0.3945	0.34709
29	-0.031198	-0.296	0.383966
30	-0.033482	-0.3176	0.375746
31	-0.040556	-0.3847	0.350666
32	-0.081532	-0.7735	0.220633
33	0.064864	0.6154	0.269936
34	-0.077551	-0.7357	0.23191
35	-0.097292	-0.923	0.17924
36	0.064662	0.6134	0.270568

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 36 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 0 ; 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