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Author

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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 02 Dec 2008 00:17:05 -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/2008/Dec/02/t1228202266erlnpl6tc7zngac.htm/, Retrieved Sun, 19 May 2024 08:49:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=27563, Retrieved Sun, 19 May 2024 08:49:25 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

244

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

F     [Univariate Data Series] [Airline data] [2007-10-18 09:58:47] [42daae401fd3def69a25014f2252b4c2]
F RMPD  [Variance Reduction Matrix] [Non Stationary Ti...] [2008-12-01 17:48:47] [b943bd7078334192ff8343563ee31113]
- RMP     [Spectral Analysis] [Non Stationary Ti...] [2008-12-01 19:56:04] [b943bd7078334192ff8343563ee31113]
- RMPD      [Cross Correlation Function] [Non Stationary Ti...] [2008-12-01 20:13:53] [b943bd7078334192ff8343563ee31113]
- RMPD        [(Partial) Autocorrelation Function] [Non Stationary Ti...] [2008-12-01 20:27:10] [b943bd7078334192ff8343563ee31113]
-   PD          [(Partial) Autocorrelation Function] [Non Stationary Ti...] [2008-12-01 20:29:06] [b943bd7078334192ff8343563ee31113]
-   P             [(Partial) Autocorrelation Function] [Non Stationary Ti...] [2008-12-01 20:31:48] [b943bd7078334192ff8343563ee31113]
- RMP               [Variance Reduction Matrix] [Non Stationary Ti...] [2008-12-01 20:34:07] [b943bd7078334192ff8343563ee31113]
- RMP                 [Spectral Analysis] [Non Stationary Ti...] [2008-12-01 20:37:58] [b943bd7078334192ff8343563ee31113]
- RMP                   [Standard Deviation-Mean Plot] [Non Stationary Ti...] [2008-12-01 20:41:45] [b943bd7078334192ff8343563ee31113]
- RMPD                    [(Partial) Autocorrelation Function] [Non Stationary Ti...] [2008-12-02 07:15:23] [b943bd7078334192ff8343563ee31113]
-   PD                        [(Partial) Autocorrelation Function] [Non Stationary Ti...] [2008-12-02 07:17:05] [620b6ad5c4696049e39cb73ce029682c] [Current]
-   P                           [(Partial) Autocorrelation Function] [Non Stationary Ti...] [2008-12-02 07:19:06] [b943bd7078334192ff8343563ee31113] 
- RMP                             [Variance Reduction Matrix] [Non Stationary Ti...] [2008-12-02 07:22:03] [b943bd7078334192ff8343563ee31113] 
- RMP                               [Spectral Analysis] [Non Stationary Ti...] [2008-12-02 07:25:43] [b943bd7078334192ff8343563ee31113] 
- RMP                                 [Standard Deviation-Mean Plot] [Non Stationary Ti...] [2008-12-02 07:32:20] [b943bd7078334192ff8343563ee31113] 

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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	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27563&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27563&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27563&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	'George Udny Yule' @ 72.249.76.132

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.26451	2.5917	0.005521
2	-0.144377	-1.4146	0.080211
3	-0.113884	-1.1158	0.133639
4	0.113057	1.1077	0.135373
5	-0.082905	-0.8123	0.209315
6	-0.170042	-1.6661	0.04948
7	0.000145	0.0014	0.499436
8	0.096547	0.946	0.173271
9	0.021741	0.213	0.415881
10	-0.050817	-0.4979	0.309844
11	0.037161	0.3641	0.358292
12	-0.014215	-0.1393	0.44476
13	-0.094244	-0.9234	0.179057
14	-0.062047	-0.6079	0.272332
15	-0.021715	-0.2128	0.415981
16	-0.069545	-0.6814	0.248629
17	0.011942	0.117	0.453549
18	0.096179	0.9424	0.174186
19	0.092755	0.9088	0.182863
20	-0.068634	-0.6725	0.251448
21	-0.131015	-1.2837	0.101172
22	0.008803	0.0863	0.465723
23	-0.03139	-0.3076	0.379543
24	-0.077139	-0.7558	0.225808
25	-0.14839	-1.4539	0.074615
26	0.00423	0.0414	0.483513
27	-0.018551	-0.1818	0.428077
28	-0.02493	-0.2443	0.403773
29	-0.020911	-0.2049	0.419047
30	-0.058102	-0.5693	0.285247
31	-0.069826	-0.6842	0.247764
32	-0.143698	-1.4079	0.081189
33	-0.136796	-1.3403	0.091652
34	0.027704	0.2714	0.393315
35	0.096378	0.9443	0.173693
36	0.031827	0.3118	0.37792

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.26451 & 2.5917 & 0.005521 \tabularnewline
2 & -0.144377 & -1.4146 & 0.080211 \tabularnewline
3 & -0.113884 & -1.1158 & 0.133639 \tabularnewline
4 & 0.113057 & 1.1077 & 0.135373 \tabularnewline
5 & -0.082905 & -0.8123 & 0.209315 \tabularnewline
6 & -0.170042 & -1.6661 & 0.04948 \tabularnewline
7 & 0.000145 & 0.0014 & 0.499436 \tabularnewline
8 & 0.096547 & 0.946 & 0.173271 \tabularnewline
9 & 0.021741 & 0.213 & 0.415881 \tabularnewline
10 & -0.050817 & -0.4979 & 0.309844 \tabularnewline
11 & 0.037161 & 0.3641 & 0.358292 \tabularnewline
12 & -0.014215 & -0.1393 & 0.44476 \tabularnewline
13 & -0.094244 & -0.9234 & 0.179057 \tabularnewline
14 & -0.062047 & -0.6079 & 0.272332 \tabularnewline
15 & -0.021715 & -0.2128 & 0.415981 \tabularnewline
16 & -0.069545 & -0.6814 & 0.248629 \tabularnewline
17 & 0.011942 & 0.117 & 0.453549 \tabularnewline
18 & 0.096179 & 0.9424 & 0.174186 \tabularnewline
19 & 0.092755 & 0.9088 & 0.182863 \tabularnewline
20 & -0.068634 & -0.6725 & 0.251448 \tabularnewline
21 & -0.131015 & -1.2837 & 0.101172 \tabularnewline
22 & 0.008803 & 0.0863 & 0.465723 \tabularnewline
23 & -0.03139 & -0.3076 & 0.379543 \tabularnewline
24 & -0.077139 & -0.7558 & 0.225808 \tabularnewline
25 & -0.14839 & -1.4539 & 0.074615 \tabularnewline
26 & 0.00423 & 0.0414 & 0.483513 \tabularnewline
27 & -0.018551 & -0.1818 & 0.428077 \tabularnewline
28 & -0.02493 & -0.2443 & 0.403773 \tabularnewline
29 & -0.020911 & -0.2049 & 0.419047 \tabularnewline
30 & -0.058102 & -0.5693 & 0.285247 \tabularnewline
31 & -0.069826 & -0.6842 & 0.247764 \tabularnewline
32 & -0.143698 & -1.4079 & 0.081189 \tabularnewline
33 & -0.136796 & -1.3403 & 0.091652 \tabularnewline
34 & 0.027704 & 0.2714 & 0.393315 \tabularnewline
35 & 0.096378 & 0.9443 & 0.173693 \tabularnewline
36 & 0.031827 & 0.3118 & 0.37792 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27563&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]0.26451[/C][C]2.5917[/C][C]0.005521[/C][/ROW]
[ROW][C]2[/C][C]-0.144377[/C][C]-1.4146[/C][C]0.080211[/C][/ROW]
[ROW][C]3[/C][C]-0.113884[/C][C]-1.1158[/C][C]0.133639[/C][/ROW]
[ROW][C]4[/C][C]0.113057[/C][C]1.1077[/C][C]0.135373[/C][/ROW]
[ROW][C]5[/C][C]-0.082905[/C][C]-0.8123[/C][C]0.209315[/C][/ROW]
[ROW][C]6[/C][C]-0.170042[/C][C]-1.6661[/C][C]0.04948[/C][/ROW]
[ROW][C]7[/C][C]0.000145[/C][C]0.0014[/C][C]0.499436[/C][/ROW]
[ROW][C]8[/C][C]0.096547[/C][C]0.946[/C][C]0.173271[/C][/ROW]
[ROW][C]9[/C][C]0.021741[/C][C]0.213[/C][C]0.415881[/C][/ROW]
[ROW][C]10[/C][C]-0.050817[/C][C]-0.4979[/C][C]0.309844[/C][/ROW]
[ROW][C]11[/C][C]0.037161[/C][C]0.3641[/C][C]0.358292[/C][/ROW]
[ROW][C]12[/C][C]-0.014215[/C][C]-0.1393[/C][C]0.44476[/C][/ROW]
[ROW][C]13[/C][C]-0.094244[/C][C]-0.9234[/C][C]0.179057[/C][/ROW]
[ROW][C]14[/C][C]-0.062047[/C][C]-0.6079[/C][C]0.272332[/C][/ROW]
[ROW][C]15[/C][C]-0.021715[/C][C]-0.2128[/C][C]0.415981[/C][/ROW]
[ROW][C]16[/C][C]-0.069545[/C][C]-0.6814[/C][C]0.248629[/C][/ROW]
[ROW][C]17[/C][C]0.011942[/C][C]0.117[/C][C]0.453549[/C][/ROW]
[ROW][C]18[/C][C]0.096179[/C][C]0.9424[/C][C]0.174186[/C][/ROW]
[ROW][C]19[/C][C]0.092755[/C][C]0.9088[/C][C]0.182863[/C][/ROW]
[ROW][C]20[/C][C]-0.068634[/C][C]-0.6725[/C][C]0.251448[/C][/ROW]
[ROW][C]21[/C][C]-0.131015[/C][C]-1.2837[/C][C]0.101172[/C][/ROW]
[ROW][C]22[/C][C]0.008803[/C][C]0.0863[/C][C]0.465723[/C][/ROW]
[ROW][C]23[/C][C]-0.03139[/C][C]-0.3076[/C][C]0.379543[/C][/ROW]
[ROW][C]24[/C][C]-0.077139[/C][C]-0.7558[/C][C]0.225808[/C][/ROW]
[ROW][C]25[/C][C]-0.14839[/C][C]-1.4539[/C][C]0.074615[/C][/ROW]
[ROW][C]26[/C][C]0.00423[/C][C]0.0414[/C][C]0.483513[/C][/ROW]
[ROW][C]27[/C][C]-0.018551[/C][C]-0.1818[/C][C]0.428077[/C][/ROW]
[ROW][C]28[/C][C]-0.02493[/C][C]-0.2443[/C][C]0.403773[/C][/ROW]
[ROW][C]29[/C][C]-0.020911[/C][C]-0.2049[/C][C]0.419047[/C][/ROW]
[ROW][C]30[/C][C]-0.058102[/C][C]-0.5693[/C][C]0.285247[/C][/ROW]
[ROW][C]31[/C][C]-0.069826[/C][C]-0.6842[/C][C]0.247764[/C][/ROW]
[ROW][C]32[/C][C]-0.143698[/C][C]-1.4079[/C][C]0.081189[/C][/ROW]
[ROW][C]33[/C][C]-0.136796[/C][C]-1.3403[/C][C]0.091652[/C][/ROW]
[ROW][C]34[/C][C]0.027704[/C][C]0.2714[/C][C]0.393315[/C][/ROW]
[ROW][C]35[/C][C]0.096378[/C][C]0.9443[/C][C]0.173693[/C][/ROW]
[ROW][C]36[/C][C]0.031827[/C][C]0.3118[/C][C]0.37792[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27563&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27563&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	0.26451	2.5917	0.005521
2	-0.144377	-1.4146	0.080211
3	-0.113884	-1.1158	0.133639
4	0.113057	1.1077	0.135373
5	-0.082905	-0.8123	0.209315
6	-0.170042	-1.6661	0.04948
7	0.000145	0.0014	0.499436
8	0.096547	0.946	0.173271
9	0.021741	0.213	0.415881
10	-0.050817	-0.4979	0.309844
11	0.037161	0.3641	0.358292
12	-0.014215	-0.1393	0.44476
13	-0.094244	-0.9234	0.179057
14	-0.062047	-0.6079	0.272332
15	-0.021715	-0.2128	0.415981
16	-0.069545	-0.6814	0.248629
17	0.011942	0.117	0.453549
18	0.096179	0.9424	0.174186
19	0.092755	0.9088	0.182863
20	-0.068634	-0.6725	0.251448
21	-0.131015	-1.2837	0.101172
22	0.008803	0.0863	0.465723
23	-0.03139	-0.3076	0.379543
24	-0.077139	-0.7558	0.225808
25	-0.14839	-1.4539	0.074615
26	0.00423	0.0414	0.483513
27	-0.018551	-0.1818	0.428077
28	-0.02493	-0.2443	0.403773
29	-0.020911	-0.2049	0.419047
30	-0.058102	-0.5693	0.285247
31	-0.069826	-0.6842	0.247764
32	-0.143698	-1.4079	0.081189
33	-0.136796	-1.3403	0.091652
34	0.027704	0.2714	0.393315
35	0.096378	0.9443	0.173693
36	0.031827	0.3118	0.37792

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.26451	2.5917	0.005521
2	-0.230467	-2.2581	0.013102
3	-0.006737	-0.066	0.473753
4	0.134876	1.3215	0.094736
5	-0.214066	-2.0974	0.019293
6	-0.050419	-0.494	0.311216
7	0.073083	0.7161	0.237845
8	-0.021543	-0.2111	0.416637
9	0.017906	0.1754	0.430552
10	-0.013322	-0.1305	0.44821
11	0.030938	0.3031	0.381225
12	-0.07941	-0.7781	0.219225
13	-0.05207	-0.5102	0.305547
14	0.009936	0.0973	0.461326
15	-0.076042	-0.7451	0.229029
16	-0.071965	-0.7051	0.241225
17	0.089123	0.8732	0.192361
18	0.018144	0.1778	0.429637
19	0.030923	0.303	0.381278
20	-0.070423	-0.69	0.245928
21	-0.097337	-0.9537	0.171315
22	0.055407	0.5429	0.294238
23	-0.111577	-1.0932	0.138516
24	0.000234	0.0023	0.499089
25	-0.135403	-1.3267	0.093882
26	-0.01734	-0.1699	0.432723
27	-0.074151	-0.7265	0.234643
28	-0.034662	-0.3396	0.367443
29	-0.005812	-0.0569	0.477355
30	-0.150308	-1.4727	0.072049
31	-0.045088	-0.4418	0.329825
32	-0.156849	-1.5368	0.063816
33	-0.170385	-1.6694	0.049146
34	0.083617	0.8193	0.207328
35	-0.061515	-0.6027	0.274058
36	-0.071363	-0.6992	0.243055

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.26451 & 2.5917 & 0.005521 \tabularnewline
2 & -0.230467 & -2.2581 & 0.013102 \tabularnewline
3 & -0.006737 & -0.066 & 0.473753 \tabularnewline
4 & 0.134876 & 1.3215 & 0.094736 \tabularnewline
5 & -0.214066 & -2.0974 & 0.019293 \tabularnewline
6 & -0.050419 & -0.494 & 0.311216 \tabularnewline
7 & 0.073083 & 0.7161 & 0.237845 \tabularnewline
8 & -0.021543 & -0.2111 & 0.416637 \tabularnewline
9 & 0.017906 & 0.1754 & 0.430552 \tabularnewline
10 & -0.013322 & -0.1305 & 0.44821 \tabularnewline
11 & 0.030938 & 0.3031 & 0.381225 \tabularnewline
12 & -0.07941 & -0.7781 & 0.219225 \tabularnewline
13 & -0.05207 & -0.5102 & 0.305547 \tabularnewline
14 & 0.009936 & 0.0973 & 0.461326 \tabularnewline
15 & -0.076042 & -0.7451 & 0.229029 \tabularnewline
16 & -0.071965 & -0.7051 & 0.241225 \tabularnewline
17 & 0.089123 & 0.8732 & 0.192361 \tabularnewline
18 & 0.018144 & 0.1778 & 0.429637 \tabularnewline
19 & 0.030923 & 0.303 & 0.381278 \tabularnewline
20 & -0.070423 & -0.69 & 0.245928 \tabularnewline
21 & -0.097337 & -0.9537 & 0.171315 \tabularnewline
22 & 0.055407 & 0.5429 & 0.294238 \tabularnewline
23 & -0.111577 & -1.0932 & 0.138516 \tabularnewline
24 & 0.000234 & 0.0023 & 0.499089 \tabularnewline
25 & -0.135403 & -1.3267 & 0.093882 \tabularnewline
26 & -0.01734 & -0.1699 & 0.432723 \tabularnewline
27 & -0.074151 & -0.7265 & 0.234643 \tabularnewline
28 & -0.034662 & -0.3396 & 0.367443 \tabularnewline
29 & -0.005812 & -0.0569 & 0.477355 \tabularnewline
30 & -0.150308 & -1.4727 & 0.072049 \tabularnewline
31 & -0.045088 & -0.4418 & 0.329825 \tabularnewline
32 & -0.156849 & -1.5368 & 0.063816 \tabularnewline
33 & -0.170385 & -1.6694 & 0.049146 \tabularnewline
34 & 0.083617 & 0.8193 & 0.207328 \tabularnewline
35 & -0.061515 & -0.6027 & 0.274058 \tabularnewline
36 & -0.071363 & -0.6992 & 0.243055 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27563&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]0.26451[/C][C]2.5917[/C][C]0.005521[/C][/ROW]
[ROW][C]2[/C][C]-0.230467[/C][C]-2.2581[/C][C]0.013102[/C][/ROW]
[ROW][C]3[/C][C]-0.006737[/C][C]-0.066[/C][C]0.473753[/C][/ROW]
[ROW][C]4[/C][C]0.134876[/C][C]1.3215[/C][C]0.094736[/C][/ROW]
[ROW][C]5[/C][C]-0.214066[/C][C]-2.0974[/C][C]0.019293[/C][/ROW]
[ROW][C]6[/C][C]-0.050419[/C][C]-0.494[/C][C]0.311216[/C][/ROW]
[ROW][C]7[/C][C]0.073083[/C][C]0.7161[/C][C]0.237845[/C][/ROW]
[ROW][C]8[/C][C]-0.021543[/C][C]-0.2111[/C][C]0.416637[/C][/ROW]
[ROW][C]9[/C][C]0.017906[/C][C]0.1754[/C][C]0.430552[/C][/ROW]
[ROW][C]10[/C][C]-0.013322[/C][C]-0.1305[/C][C]0.44821[/C][/ROW]
[ROW][C]11[/C][C]0.030938[/C][C]0.3031[/C][C]0.381225[/C][/ROW]
[ROW][C]12[/C][C]-0.07941[/C][C]-0.7781[/C][C]0.219225[/C][/ROW]
[ROW][C]13[/C][C]-0.05207[/C][C]-0.5102[/C][C]0.305547[/C][/ROW]
[ROW][C]14[/C][C]0.009936[/C][C]0.0973[/C][C]0.461326[/C][/ROW]
[ROW][C]15[/C][C]-0.076042[/C][C]-0.7451[/C][C]0.229029[/C][/ROW]
[ROW][C]16[/C][C]-0.071965[/C][C]-0.7051[/C][C]0.241225[/C][/ROW]
[ROW][C]17[/C][C]0.089123[/C][C]0.8732[/C][C]0.192361[/C][/ROW]
[ROW][C]18[/C][C]0.018144[/C][C]0.1778[/C][C]0.429637[/C][/ROW]
[ROW][C]19[/C][C]0.030923[/C][C]0.303[/C][C]0.381278[/C][/ROW]
[ROW][C]20[/C][C]-0.070423[/C][C]-0.69[/C][C]0.245928[/C][/ROW]
[ROW][C]21[/C][C]-0.097337[/C][C]-0.9537[/C][C]0.171315[/C][/ROW]
[ROW][C]22[/C][C]0.055407[/C][C]0.5429[/C][C]0.294238[/C][/ROW]
[ROW][C]23[/C][C]-0.111577[/C][C]-1.0932[/C][C]0.138516[/C][/ROW]
[ROW][C]24[/C][C]0.000234[/C][C]0.0023[/C][C]0.499089[/C][/ROW]
[ROW][C]25[/C][C]-0.135403[/C][C]-1.3267[/C][C]0.093882[/C][/ROW]
[ROW][C]26[/C][C]-0.01734[/C][C]-0.1699[/C][C]0.432723[/C][/ROW]
[ROW][C]27[/C][C]-0.074151[/C][C]-0.7265[/C][C]0.234643[/C][/ROW]
[ROW][C]28[/C][C]-0.034662[/C][C]-0.3396[/C][C]0.367443[/C][/ROW]
[ROW][C]29[/C][C]-0.005812[/C][C]-0.0569[/C][C]0.477355[/C][/ROW]
[ROW][C]30[/C][C]-0.150308[/C][C]-1.4727[/C][C]0.072049[/C][/ROW]
[ROW][C]31[/C][C]-0.045088[/C][C]-0.4418[/C][C]0.329825[/C][/ROW]
[ROW][C]32[/C][C]-0.156849[/C][C]-1.5368[/C][C]0.063816[/C][/ROW]
[ROW][C]33[/C][C]-0.170385[/C][C]-1.6694[/C][C]0.049146[/C][/ROW]
[ROW][C]34[/C][C]0.083617[/C][C]0.8193[/C][C]0.207328[/C][/ROW]
[ROW][C]35[/C][C]-0.061515[/C][C]-0.6027[/C][C]0.274058[/C][/ROW]
[ROW][C]36[/C][C]-0.071363[/C][C]-0.6992[/C][C]0.243055[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27563&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27563&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	0.26451	2.5917	0.005521
2	-0.230467	-2.2581	0.013102
3	-0.006737	-0.066	0.473753
4	0.134876	1.3215	0.094736
5	-0.214066	-2.0974	0.019293
6	-0.050419	-0.494	0.311216
7	0.073083	0.7161	0.237845
8	-0.021543	-0.2111	0.416637
9	0.017906	0.1754	0.430552
10	-0.013322	-0.1305	0.44821
11	0.030938	0.3031	0.381225
12	-0.07941	-0.7781	0.219225
13	-0.05207	-0.5102	0.305547
14	0.009936	0.0973	0.461326
15	-0.076042	-0.7451	0.229029
16	-0.071965	-0.7051	0.241225
17	0.089123	0.8732	0.192361
18	0.018144	0.1778	0.429637
19	0.030923	0.303	0.381278
20	-0.070423	-0.69	0.245928
21	-0.097337	-0.9537	0.171315
22	0.055407	0.5429	0.294238
23	-0.111577	-1.0932	0.138516
24	0.000234	0.0023	0.499089
25	-0.135403	-1.3267	0.093882
26	-0.01734	-0.1699	0.432723
27	-0.074151	-0.7265	0.234643
28	-0.034662	-0.3396	0.367443
29	-0.005812	-0.0569	0.477355
30	-0.150308	-1.4727	0.072049
31	-0.045088	-0.4418	0.329825
32	-0.156849	-1.5368	0.063816
33	-0.170385	-1.6694	0.049146
34	0.083617	0.8193	0.207328
35	-0.061515	-0.6027	0.274058
36	-0.071363	-0.6992	0.243055

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; 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