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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 01 Dec 2008 13:27:10 -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/01/t1228163263zwlgphg6no3b464.htm/, Retrieved Sun, 05 May 2024 12:02:57 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=27337, Retrieved Sun, 05 May 2024 12:02:57 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

220

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] [620b6ad5c4696049e39cb73ce029682c] [Current]
-   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] [b943bd7078334192ff8343563ee31113] 
-   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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Dataseries X:

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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	'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27337&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27337&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	'George Udny Yule' @ 72.249.76.132

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.715819	7.05	0
2	0.696097	6.8558	0
3	0.632678	6.2312	0
4	0.606218	5.9706	0
5	0.646656	6.3688	0
6	0.609468	6.0026	0
7	0.604523	5.9539	0
8	0.514411	5.0664	1e-06
9	0.430835	4.2432	2.5e-05
10	0.399651	3.9361	7.8e-05
11	0.432533	4.26	2.4e-05
12	0.479035	4.7179	4e-06
13	0.342693	3.3751	0.000531
14	0.335282	3.3021	0.000672
15	0.239405	2.3579	0.010194
16	0.231717	2.2821	0.012333
17	0.234487	2.3094	0.01152
18	0.230064	2.2659	0.012841
19	0.194614	1.9167	0.029108
20	0.162955	1.6049	0.055881
21	0.083511	0.8225	0.206408
22	0.074735	0.7361	0.231736
23	0.092122	0.9073	0.183249
24	0.104409	1.0283	0.153181
25	0.018651	0.1837	0.427321
26	0.003741	0.0368	0.48534
27	-0.083644	-0.8238	0.206038
28	-0.06173	-0.608	0.272314
29	-0.054747	-0.5392	0.295493
30	-0.106534	-1.0492	0.148337
31	-0.084093	-0.8282	0.20479
32	-0.110264	-1.086	0.140091
33	-0.172496	-1.6989	0.046273
34	-0.169805	-1.6724	0.048835
35	-0.160952	-1.5852	0.058088
36	-0.116267	-1.1451	0.127493

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.715819 & 7.05 & 0 \tabularnewline
2 & 0.696097 & 6.8558 & 0 \tabularnewline
3 & 0.632678 & 6.2312 & 0 \tabularnewline
4 & 0.606218 & 5.9706 & 0 \tabularnewline
5 & 0.646656 & 6.3688 & 0 \tabularnewline
6 & 0.609468 & 6.0026 & 0 \tabularnewline
7 & 0.604523 & 5.9539 & 0 \tabularnewline
8 & 0.514411 & 5.0664 & 1e-06 \tabularnewline
9 & 0.430835 & 4.2432 & 2.5e-05 \tabularnewline
10 & 0.399651 & 3.9361 & 7.8e-05 \tabularnewline
11 & 0.432533 & 4.26 & 2.4e-05 \tabularnewline
12 & 0.479035 & 4.7179 & 4e-06 \tabularnewline
13 & 0.342693 & 3.3751 & 0.000531 \tabularnewline
14 & 0.335282 & 3.3021 & 0.000672 \tabularnewline
15 & 0.239405 & 2.3579 & 0.010194 \tabularnewline
16 & 0.231717 & 2.2821 & 0.012333 \tabularnewline
17 & 0.234487 & 2.3094 & 0.01152 \tabularnewline
18 & 0.230064 & 2.2659 & 0.012841 \tabularnewline
19 & 0.194614 & 1.9167 & 0.029108 \tabularnewline
20 & 0.162955 & 1.6049 & 0.055881 \tabularnewline
21 & 0.083511 & 0.8225 & 0.206408 \tabularnewline
22 & 0.074735 & 0.7361 & 0.231736 \tabularnewline
23 & 0.092122 & 0.9073 & 0.183249 \tabularnewline
24 & 0.104409 & 1.0283 & 0.153181 \tabularnewline
25 & 0.018651 & 0.1837 & 0.427321 \tabularnewline
26 & 0.003741 & 0.0368 & 0.48534 \tabularnewline
27 & -0.083644 & -0.8238 & 0.206038 \tabularnewline
28 & -0.06173 & -0.608 & 0.272314 \tabularnewline
29 & -0.054747 & -0.5392 & 0.295493 \tabularnewline
30 & -0.106534 & -1.0492 & 0.148337 \tabularnewline
31 & -0.084093 & -0.8282 & 0.20479 \tabularnewline
32 & -0.110264 & -1.086 & 0.140091 \tabularnewline
33 & -0.172496 & -1.6989 & 0.046273 \tabularnewline
34 & -0.169805 & -1.6724 & 0.048835 \tabularnewline
35 & -0.160952 & -1.5852 & 0.058088 \tabularnewline
36 & -0.116267 & -1.1451 & 0.127493 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27337&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]0.715819[/C][C]7.05[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.696097[/C][C]6.8558[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.632678[/C][C]6.2312[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.606218[/C][C]5.9706[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.646656[/C][C]6.3688[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.609468[/C][C]6.0026[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.604523[/C][C]5.9539[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.514411[/C][C]5.0664[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.430835[/C][C]4.2432[/C][C]2.5e-05[/C][/ROW]
[ROW][C]10[/C][C]0.399651[/C][C]3.9361[/C][C]7.8e-05[/C][/ROW]
[ROW][C]11[/C][C]0.432533[/C][C]4.26[/C][C]2.4e-05[/C][/ROW]
[ROW][C]12[/C][C]0.479035[/C][C]4.7179[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]0.342693[/C][C]3.3751[/C][C]0.000531[/C][/ROW]
[ROW][C]14[/C][C]0.335282[/C][C]3.3021[/C][C]0.000672[/C][/ROW]
[ROW][C]15[/C][C]0.239405[/C][C]2.3579[/C][C]0.010194[/C][/ROW]
[ROW][C]16[/C][C]0.231717[/C][C]2.2821[/C][C]0.012333[/C][/ROW]
[ROW][C]17[/C][C]0.234487[/C][C]2.3094[/C][C]0.01152[/C][/ROW]
[ROW][C]18[/C][C]0.230064[/C][C]2.2659[/C][C]0.012841[/C][/ROW]
[ROW][C]19[/C][C]0.194614[/C][C]1.9167[/C][C]0.029108[/C][/ROW]
[ROW][C]20[/C][C]0.162955[/C][C]1.6049[/C][C]0.055881[/C][/ROW]
[ROW][C]21[/C][C]0.083511[/C][C]0.8225[/C][C]0.206408[/C][/ROW]
[ROW][C]22[/C][C]0.074735[/C][C]0.7361[/C][C]0.231736[/C][/ROW]
[ROW][C]23[/C][C]0.092122[/C][C]0.9073[/C][C]0.183249[/C][/ROW]
[ROW][C]24[/C][C]0.104409[/C][C]1.0283[/C][C]0.153181[/C][/ROW]
[ROW][C]25[/C][C]0.018651[/C][C]0.1837[/C][C]0.427321[/C][/ROW]
[ROW][C]26[/C][C]0.003741[/C][C]0.0368[/C][C]0.48534[/C][/ROW]
[ROW][C]27[/C][C]-0.083644[/C][C]-0.8238[/C][C]0.206038[/C][/ROW]
[ROW][C]28[/C][C]-0.06173[/C][C]-0.608[/C][C]0.272314[/C][/ROW]
[ROW][C]29[/C][C]-0.054747[/C][C]-0.5392[/C][C]0.295493[/C][/ROW]
[ROW][C]30[/C][C]-0.106534[/C][C]-1.0492[/C][C]0.148337[/C][/ROW]
[ROW][C]31[/C][C]-0.084093[/C][C]-0.8282[/C][C]0.20479[/C][/ROW]
[ROW][C]32[/C][C]-0.110264[/C][C]-1.086[/C][C]0.140091[/C][/ROW]
[ROW][C]33[/C][C]-0.172496[/C][C]-1.6989[/C][C]0.046273[/C][/ROW]
[ROW][C]34[/C][C]-0.169805[/C][C]-1.6724[/C][C]0.048835[/C][/ROW]
[ROW][C]35[/C][C]-0.160952[/C][C]-1.5852[/C][C]0.058088[/C][/ROW]
[ROW][C]36[/C][C]-0.116267[/C][C]-1.1451[/C][C]0.127493[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27337&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	0.715819	7.05	0
2	0.696097	6.8558	0
3	0.632678	6.2312	0
4	0.606218	5.9706	0
5	0.646656	6.3688	0
6	0.609468	6.0026	0
7	0.604523	5.9539	0
8	0.514411	5.0664	1e-06
9	0.430835	4.2432	2.5e-05
10	0.399651	3.9361	7.8e-05
11	0.432533	4.26	2.4e-05
12	0.479035	4.7179	4e-06
13	0.342693	3.3751	0.000531
14	0.335282	3.3021	0.000672
15	0.239405	2.3579	0.010194
16	0.231717	2.2821	0.012333
17	0.234487	2.3094	0.01152
18	0.230064	2.2659	0.012841
19	0.194614	1.9167	0.029108
20	0.162955	1.6049	0.055881
21	0.083511	0.8225	0.206408
22	0.074735	0.7361	0.231736
23	0.092122	0.9073	0.183249
24	0.104409	1.0283	0.153181
25	0.018651	0.1837	0.427321
26	0.003741	0.0368	0.48534
27	-0.083644	-0.8238	0.206038
28	-0.06173	-0.608	0.272314
29	-0.054747	-0.5392	0.295493
30	-0.106534	-1.0492	0.148337
31	-0.084093	-0.8282	0.20479
32	-0.110264	-1.086	0.140091
33	-0.172496	-1.6989	0.046273
34	-0.169805	-1.6724	0.048835
35	-0.160952	-1.5852	0.058088
36	-0.116267	-1.1451	0.127493

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.715819	7.05	0
2	0.37674	3.7105	0.000173
3	0.125341	1.2345	0.110005
4	0.099038	0.9754	0.165892
5	0.242369	2.3871	0.009461
6	0.065741	0.6475	0.259428
7	0.051584	0.508	0.306287
8	-0.134465	-1.3243	0.094253
9	-0.198047	-1.9505	0.026999
10	-0.087149	-0.8583	0.196415
11	0.140482	1.3836	0.084831
12	0.208884	2.0573	0.021172
13	-0.268742	-2.6468	0.004741
14	-0.047696	-0.4698	0.319792
15	-0.064444	-0.6347	0.263559
16	0.036268	0.3572	0.360858
17	0.009258	0.0912	0.463767
18	0.016625	0.1637	0.43514
19	-0.136219	-1.3416	0.091429
20	0.094676	0.9325	0.176709
21	-0.00605	-0.0596	0.476304
22	-0.005078	-0.05	0.480109
23	-0.032093	-0.3161	0.376309
24	0.041984	0.4135	0.340079
25	-0.168408	-1.6586	0.050211
26	-0.023445	-0.2309	0.408935
27	-0.082532	-0.8128	0.209148
28	0.044663	0.4399	0.330503
29	0.047854	0.4713	0.319238
30	-0.145686	-1.4348	0.077274
31	0.027465	0.2705	0.393676
32	0.120108	1.1829	0.119865
33	0.005406	0.0532	0.478825
34	-0.094282	-0.9286	0.177708
35	-0.010407	-0.1025	0.459286
36	0.092298	0.909	0.182795

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.715819 & 7.05 & 0 \tabularnewline
2 & 0.37674 & 3.7105 & 0.000173 \tabularnewline
3 & 0.125341 & 1.2345 & 0.110005 \tabularnewline
4 & 0.099038 & 0.9754 & 0.165892 \tabularnewline
5 & 0.242369 & 2.3871 & 0.009461 \tabularnewline
6 & 0.065741 & 0.6475 & 0.259428 \tabularnewline
7 & 0.051584 & 0.508 & 0.306287 \tabularnewline
8 & -0.134465 & -1.3243 & 0.094253 \tabularnewline
9 & -0.198047 & -1.9505 & 0.026999 \tabularnewline
10 & -0.087149 & -0.8583 & 0.196415 \tabularnewline
11 & 0.140482 & 1.3836 & 0.084831 \tabularnewline
12 & 0.208884 & 2.0573 & 0.021172 \tabularnewline
13 & -0.268742 & -2.6468 & 0.004741 \tabularnewline
14 & -0.047696 & -0.4698 & 0.319792 \tabularnewline
15 & -0.064444 & -0.6347 & 0.263559 \tabularnewline
16 & 0.036268 & 0.3572 & 0.360858 \tabularnewline
17 & 0.009258 & 0.0912 & 0.463767 \tabularnewline
18 & 0.016625 & 0.1637 & 0.43514 \tabularnewline
19 & -0.136219 & -1.3416 & 0.091429 \tabularnewline
20 & 0.094676 & 0.9325 & 0.176709 \tabularnewline
21 & -0.00605 & -0.0596 & 0.476304 \tabularnewline
22 & -0.005078 & -0.05 & 0.480109 \tabularnewline
23 & -0.032093 & -0.3161 & 0.376309 \tabularnewline
24 & 0.041984 & 0.4135 & 0.340079 \tabularnewline
25 & -0.168408 & -1.6586 & 0.050211 \tabularnewline
26 & -0.023445 & -0.2309 & 0.408935 \tabularnewline
27 & -0.082532 & -0.8128 & 0.209148 \tabularnewline
28 & 0.044663 & 0.4399 & 0.330503 \tabularnewline
29 & 0.047854 & 0.4713 & 0.319238 \tabularnewline
30 & -0.145686 & -1.4348 & 0.077274 \tabularnewline
31 & 0.027465 & 0.2705 & 0.393676 \tabularnewline
32 & 0.120108 & 1.1829 & 0.119865 \tabularnewline
33 & 0.005406 & 0.0532 & 0.478825 \tabularnewline
34 & -0.094282 & -0.9286 & 0.177708 \tabularnewline
35 & -0.010407 & -0.1025 & 0.459286 \tabularnewline
36 & 0.092298 & 0.909 & 0.182795 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27337&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]0.715819[/C][C]7.05[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.37674[/C][C]3.7105[/C][C]0.000173[/C][/ROW]
[ROW][C]3[/C][C]0.125341[/C][C]1.2345[/C][C]0.110005[/C][/ROW]
[ROW][C]4[/C][C]0.099038[/C][C]0.9754[/C][C]0.165892[/C][/ROW]
[ROW][C]5[/C][C]0.242369[/C][C]2.3871[/C][C]0.009461[/C][/ROW]
[ROW][C]6[/C][C]0.065741[/C][C]0.6475[/C][C]0.259428[/C][/ROW]
[ROW][C]7[/C][C]0.051584[/C][C]0.508[/C][C]0.306287[/C][/ROW]
[ROW][C]8[/C][C]-0.134465[/C][C]-1.3243[/C][C]0.094253[/C][/ROW]
[ROW][C]9[/C][C]-0.198047[/C][C]-1.9505[/C][C]0.026999[/C][/ROW]
[ROW][C]10[/C][C]-0.087149[/C][C]-0.8583[/C][C]0.196415[/C][/ROW]
[ROW][C]11[/C][C]0.140482[/C][C]1.3836[/C][C]0.084831[/C][/ROW]
[ROW][C]12[/C][C]0.208884[/C][C]2.0573[/C][C]0.021172[/C][/ROW]
[ROW][C]13[/C][C]-0.268742[/C][C]-2.6468[/C][C]0.004741[/C][/ROW]
[ROW][C]14[/C][C]-0.047696[/C][C]-0.4698[/C][C]0.319792[/C][/ROW]
[ROW][C]15[/C][C]-0.064444[/C][C]-0.6347[/C][C]0.263559[/C][/ROW]
[ROW][C]16[/C][C]0.036268[/C][C]0.3572[/C][C]0.360858[/C][/ROW]
[ROW][C]17[/C][C]0.009258[/C][C]0.0912[/C][C]0.463767[/C][/ROW]
[ROW][C]18[/C][C]0.016625[/C][C]0.1637[/C][C]0.43514[/C][/ROW]
[ROW][C]19[/C][C]-0.136219[/C][C]-1.3416[/C][C]0.091429[/C][/ROW]
[ROW][C]20[/C][C]0.094676[/C][C]0.9325[/C][C]0.176709[/C][/ROW]
[ROW][C]21[/C][C]-0.00605[/C][C]-0.0596[/C][C]0.476304[/C][/ROW]
[ROW][C]22[/C][C]-0.005078[/C][C]-0.05[/C][C]0.480109[/C][/ROW]
[ROW][C]23[/C][C]-0.032093[/C][C]-0.3161[/C][C]0.376309[/C][/ROW]
[ROW][C]24[/C][C]0.041984[/C][C]0.4135[/C][C]0.340079[/C][/ROW]
[ROW][C]25[/C][C]-0.168408[/C][C]-1.6586[/C][C]0.050211[/C][/ROW]
[ROW][C]26[/C][C]-0.023445[/C][C]-0.2309[/C][C]0.408935[/C][/ROW]
[ROW][C]27[/C][C]-0.082532[/C][C]-0.8128[/C][C]0.209148[/C][/ROW]
[ROW][C]28[/C][C]0.044663[/C][C]0.4399[/C][C]0.330503[/C][/ROW]
[ROW][C]29[/C][C]0.047854[/C][C]0.4713[/C][C]0.319238[/C][/ROW]
[ROW][C]30[/C][C]-0.145686[/C][C]-1.4348[/C][C]0.077274[/C][/ROW]
[ROW][C]31[/C][C]0.027465[/C][C]0.2705[/C][C]0.393676[/C][/ROW]
[ROW][C]32[/C][C]0.120108[/C][C]1.1829[/C][C]0.119865[/C][/ROW]
[ROW][C]33[/C][C]0.005406[/C][C]0.0532[/C][C]0.478825[/C][/ROW]
[ROW][C]34[/C][C]-0.094282[/C][C]-0.9286[/C][C]0.177708[/C][/ROW]
[ROW][C]35[/C][C]-0.010407[/C][C]-0.1025[/C][C]0.459286[/C][/ROW]
[ROW][C]36[/C][C]0.092298[/C][C]0.909[/C][C]0.182795[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27337&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27337&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	0.715819	7.05	0
2	0.37674	3.7105	0.000173
3	0.125341	1.2345	0.110005
4	0.099038	0.9754	0.165892
5	0.242369	2.3871	0.009461
6	0.065741	0.6475	0.259428
7	0.051584	0.508	0.306287
8	-0.134465	-1.3243	0.094253
9	-0.198047	-1.9505	0.026999
10	-0.087149	-0.8583	0.196415
11	0.140482	1.3836	0.084831
12	0.208884	2.0573	0.021172
13	-0.268742	-2.6468	0.004741
14	-0.047696	-0.4698	0.319792
15	-0.064444	-0.6347	0.263559
16	0.036268	0.3572	0.360858
17	0.009258	0.0912	0.463767
18	0.016625	0.1637	0.43514
19	-0.136219	-1.3416	0.091429
20	0.094676	0.9325	0.176709
21	-0.00605	-0.0596	0.476304
22	-0.005078	-0.05	0.480109
23	-0.032093	-0.3161	0.376309
24	0.041984	0.4135	0.340079
25	-0.168408	-1.6586	0.050211
26	-0.023445	-0.2309	0.408935
27	-0.082532	-0.8128	0.209148
28	0.044663	0.4399	0.330503
29	0.047854	0.4713	0.319238
30	-0.145686	-1.4348	0.077274
31	0.027465	0.2705	0.393676
32	0.120108	1.1829	0.119865
33	0.005406	0.0532	0.478825
34	-0.094282	-0.9286	0.177708
35	-0.010407	-0.1025	0.459286
36	0.092298	0.909	0.182795

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

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