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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 10 Dec 2010 20:02:02 +0000

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/2010/Dec/10/t1292011212xkjup520g1op9gg.htm/, Retrieved Mon, 29 Apr 2024 13:43:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107921, Retrieved Mon, 29 Apr 2024 13:43:16 +0000

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User-defined keywords

Estimated Impact

107

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       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [(Partial) Autocorrelation Function] [Births] [2010-11-29 09:36:27] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [Workshop 9] [2010-12-10 19:48:20] [74be16979710d4c4e7c6647856088456]
-   P               [(Partial) Autocorrelation Function] [Workshop 9] [2010-12-10 20:02:02] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P                 [(Partial) Autocorrelation Function] [Workshop 9] [2010-12-10 20:21:41] [74be16979710d4c4e7c6647856088456] 
-   P                   [(Partial) Autocorrelation Function] [] [2010-12-10 21:12:03] [1ec36cc0fd92fd0f07d0b885ce2c369b] 
-   P                 [(Partial) Autocorrelation Function] [] [2010-12-10 21:12:45] [1ec36cc0fd92fd0f07d0b885ce2c369b] 

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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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107921&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107921&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107921&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.146445	-1.1249	0.132601
2	-0.20074	-1.5419	0.06422
3	-0.14458	-1.1105	0.135636
4	0.577601	4.4366	2e-05
5	-0.140411	-1.0785	0.142597
6	-0.228807	-1.7575	0.04201
7	-0.169942	-1.3054	0.098421
8	0.51931	3.9889	9.3e-05
9	-0.185866	-1.4277	0.07933
10	-0.192448	-1.4782	0.072334
11	-0.120587	-0.9262	0.179046
12	0.713165	5.4779	0
13	-0.160559	-1.2333	0.111181
14	-0.224069	-1.7211	0.045236
15	-0.140098	-1.0761	0.14313
16	0.43806	3.3648	0.000676
17	-0.145921	-1.1208	0.133449
18	-0.213688	-1.6414	0.05302
19	-0.144307	-1.1084	0.136084
20	0.36508	2.8042	0.003409
21	-0.180812	-1.3888	0.085051
22	-0.182396	-1.401	0.083224
23	-0.06327	-0.486	0.314388
24	0.472401	3.6286	0.000298
25	-0.13659	-1.0492	0.14919
26	-0.166934	-1.2822	0.102387
27	-0.10689	-0.821	0.207465
28	0.295154	2.2671	0.013531
29	-0.078726	-0.6047	0.273848
30	-0.172912	-1.3282	0.09462
31	-0.112286	-0.8625	0.195956
32	0.198045	1.5212	0.066774
33	-0.121412	-0.9326	0.177418
34	-0.079758	-0.6126	0.271237
35	-0.078374	-0.602	0.274738
36	0.248917	1.912	0.03037
37	-0.089217	-0.6853	0.247924
38	-0.106318	-0.8166	0.208708
39	-0.065227	-0.501	0.309111
40	0.127741	0.9812	0.165251
41	-0.050948	-0.3913	0.348479
42	-0.103487	-0.7949	0.214928
43	-0.052459	-0.4029	0.344223
44	0.094958	0.7294	0.234326
45	-0.064509	-0.4955	0.311043
46	-0.007674	-0.0589	0.476596
47	-0.037632	-0.2891	0.386775
48	0.091051	0.6994	0.243533

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.146445 & -1.1249 & 0.132601 \tabularnewline
2 & -0.20074 & -1.5419 & 0.06422 \tabularnewline
3 & -0.14458 & -1.1105 & 0.135636 \tabularnewline
4 & 0.577601 & 4.4366 & 2e-05 \tabularnewline
5 & -0.140411 & -1.0785 & 0.142597 \tabularnewline
6 & -0.228807 & -1.7575 & 0.04201 \tabularnewline
7 & -0.169942 & -1.3054 & 0.098421 \tabularnewline
8 & 0.51931 & 3.9889 & 9.3e-05 \tabularnewline
9 & -0.185866 & -1.4277 & 0.07933 \tabularnewline
10 & -0.192448 & -1.4782 & 0.072334 \tabularnewline
11 & -0.120587 & -0.9262 & 0.179046 \tabularnewline
12 & 0.713165 & 5.4779 & 0 \tabularnewline
13 & -0.160559 & -1.2333 & 0.111181 \tabularnewline
14 & -0.224069 & -1.7211 & 0.045236 \tabularnewline
15 & -0.140098 & -1.0761 & 0.14313 \tabularnewline
16 & 0.43806 & 3.3648 & 0.000676 \tabularnewline
17 & -0.145921 & -1.1208 & 0.133449 \tabularnewline
18 & -0.213688 & -1.6414 & 0.05302 \tabularnewline
19 & -0.144307 & -1.1084 & 0.136084 \tabularnewline
20 & 0.36508 & 2.8042 & 0.003409 \tabularnewline
21 & -0.180812 & -1.3888 & 0.085051 \tabularnewline
22 & -0.182396 & -1.401 & 0.083224 \tabularnewline
23 & -0.06327 & -0.486 & 0.314388 \tabularnewline
24 & 0.472401 & 3.6286 & 0.000298 \tabularnewline
25 & -0.13659 & -1.0492 & 0.14919 \tabularnewline
26 & -0.166934 & -1.2822 & 0.102387 \tabularnewline
27 & -0.10689 & -0.821 & 0.207465 \tabularnewline
28 & 0.295154 & 2.2671 & 0.013531 \tabularnewline
29 & -0.078726 & -0.6047 & 0.273848 \tabularnewline
30 & -0.172912 & -1.3282 & 0.09462 \tabularnewline
31 & -0.112286 & -0.8625 & 0.195956 \tabularnewline
32 & 0.198045 & 1.5212 & 0.066774 \tabularnewline
33 & -0.121412 & -0.9326 & 0.177418 \tabularnewline
34 & -0.079758 & -0.6126 & 0.271237 \tabularnewline
35 & -0.078374 & -0.602 & 0.274738 \tabularnewline
36 & 0.248917 & 1.912 & 0.03037 \tabularnewline
37 & -0.089217 & -0.6853 & 0.247924 \tabularnewline
38 & -0.106318 & -0.8166 & 0.208708 \tabularnewline
39 & -0.065227 & -0.501 & 0.309111 \tabularnewline
40 & 0.127741 & 0.9812 & 0.165251 \tabularnewline
41 & -0.050948 & -0.3913 & 0.348479 \tabularnewline
42 & -0.103487 & -0.7949 & 0.214928 \tabularnewline
43 & -0.052459 & -0.4029 & 0.344223 \tabularnewline
44 & 0.094958 & 0.7294 & 0.234326 \tabularnewline
45 & -0.064509 & -0.4955 & 0.311043 \tabularnewline
46 & -0.007674 & -0.0589 & 0.476596 \tabularnewline
47 & -0.037632 & -0.2891 & 0.386775 \tabularnewline
48 & 0.091051 & 0.6994 & 0.243533 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107921&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]-0.146445[/C][C]-1.1249[/C][C]0.132601[/C][/ROW]
[ROW][C]2[/C][C]-0.20074[/C][C]-1.5419[/C][C]0.06422[/C][/ROW]
[ROW][C]3[/C][C]-0.14458[/C][C]-1.1105[/C][C]0.135636[/C][/ROW]
[ROW][C]4[/C][C]0.577601[/C][C]4.4366[/C][C]2e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.140411[/C][C]-1.0785[/C][C]0.142597[/C][/ROW]
[ROW][C]6[/C][C]-0.228807[/C][C]-1.7575[/C][C]0.04201[/C][/ROW]
[ROW][C]7[/C][C]-0.169942[/C][C]-1.3054[/C][C]0.098421[/C][/ROW]
[ROW][C]8[/C][C]0.51931[/C][C]3.9889[/C][C]9.3e-05[/C][/ROW]
[ROW][C]9[/C][C]-0.185866[/C][C]-1.4277[/C][C]0.07933[/C][/ROW]
[ROW][C]10[/C][C]-0.192448[/C][C]-1.4782[/C][C]0.072334[/C][/ROW]
[ROW][C]11[/C][C]-0.120587[/C][C]-0.9262[/C][C]0.179046[/C][/ROW]
[ROW][C]12[/C][C]0.713165[/C][C]5.4779[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.160559[/C][C]-1.2333[/C][C]0.111181[/C][/ROW]
[ROW][C]14[/C][C]-0.224069[/C][C]-1.7211[/C][C]0.045236[/C][/ROW]
[ROW][C]15[/C][C]-0.140098[/C][C]-1.0761[/C][C]0.14313[/C][/ROW]
[ROW][C]16[/C][C]0.43806[/C][C]3.3648[/C][C]0.000676[/C][/ROW]
[ROW][C]17[/C][C]-0.145921[/C][C]-1.1208[/C][C]0.133449[/C][/ROW]
[ROW][C]18[/C][C]-0.213688[/C][C]-1.6414[/C][C]0.05302[/C][/ROW]
[ROW][C]19[/C][C]-0.144307[/C][C]-1.1084[/C][C]0.136084[/C][/ROW]
[ROW][C]20[/C][C]0.36508[/C][C]2.8042[/C][C]0.003409[/C][/ROW]
[ROW][C]21[/C][C]-0.180812[/C][C]-1.3888[/C][C]0.085051[/C][/ROW]
[ROW][C]22[/C][C]-0.182396[/C][C]-1.401[/C][C]0.083224[/C][/ROW]
[ROW][C]23[/C][C]-0.06327[/C][C]-0.486[/C][C]0.314388[/C][/ROW]
[ROW][C]24[/C][C]0.472401[/C][C]3.6286[/C][C]0.000298[/C][/ROW]
[ROW][C]25[/C][C]-0.13659[/C][C]-1.0492[/C][C]0.14919[/C][/ROW]
[ROW][C]26[/C][C]-0.166934[/C][C]-1.2822[/C][C]0.102387[/C][/ROW]
[ROW][C]27[/C][C]-0.10689[/C][C]-0.821[/C][C]0.207465[/C][/ROW]
[ROW][C]28[/C][C]0.295154[/C][C]2.2671[/C][C]0.013531[/C][/ROW]
[ROW][C]29[/C][C]-0.078726[/C][C]-0.6047[/C][C]0.273848[/C][/ROW]
[ROW][C]30[/C][C]-0.172912[/C][C]-1.3282[/C][C]0.09462[/C][/ROW]
[ROW][C]31[/C][C]-0.112286[/C][C]-0.8625[/C][C]0.195956[/C][/ROW]
[ROW][C]32[/C][C]0.198045[/C][C]1.5212[/C][C]0.066774[/C][/ROW]
[ROW][C]33[/C][C]-0.121412[/C][C]-0.9326[/C][C]0.177418[/C][/ROW]
[ROW][C]34[/C][C]-0.079758[/C][C]-0.6126[/C][C]0.271237[/C][/ROW]
[ROW][C]35[/C][C]-0.078374[/C][C]-0.602[/C][C]0.274738[/C][/ROW]
[ROW][C]36[/C][C]0.248917[/C][C]1.912[/C][C]0.03037[/C][/ROW]
[ROW][C]37[/C][C]-0.089217[/C][C]-0.6853[/C][C]0.247924[/C][/ROW]
[ROW][C]38[/C][C]-0.106318[/C][C]-0.8166[/C][C]0.208708[/C][/ROW]
[ROW][C]39[/C][C]-0.065227[/C][C]-0.501[/C][C]0.309111[/C][/ROW]
[ROW][C]40[/C][C]0.127741[/C][C]0.9812[/C][C]0.165251[/C][/ROW]
[ROW][C]41[/C][C]-0.050948[/C][C]-0.3913[/C][C]0.348479[/C][/ROW]
[ROW][C]42[/C][C]-0.103487[/C][C]-0.7949[/C][C]0.214928[/C][/ROW]
[ROW][C]43[/C][C]-0.052459[/C][C]-0.4029[/C][C]0.344223[/C][/ROW]
[ROW][C]44[/C][C]0.094958[/C][C]0.7294[/C][C]0.234326[/C][/ROW]
[ROW][C]45[/C][C]-0.064509[/C][C]-0.4955[/C][C]0.311043[/C][/ROW]
[ROW][C]46[/C][C]-0.007674[/C][C]-0.0589[/C][C]0.476596[/C][/ROW]
[ROW][C]47[/C][C]-0.037632[/C][C]-0.2891[/C][C]0.386775[/C][/ROW]
[ROW][C]48[/C][C]0.091051[/C][C]0.6994[/C][C]0.243533[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107921&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107921&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	-0.146445	-1.1249	0.132601
2	-0.20074	-1.5419	0.06422
3	-0.14458	-1.1105	0.135636
4	0.577601	4.4366	2e-05
5	-0.140411	-1.0785	0.142597
6	-0.228807	-1.7575	0.04201
7	-0.169942	-1.3054	0.098421
8	0.51931	3.9889	9.3e-05
9	-0.185866	-1.4277	0.07933
10	-0.192448	-1.4782	0.072334
11	-0.120587	-0.9262	0.179046
12	0.713165	5.4779	0
13	-0.160559	-1.2333	0.111181
14	-0.224069	-1.7211	0.045236
15	-0.140098	-1.0761	0.14313
16	0.43806	3.3648	0.000676
17	-0.145921	-1.1208	0.133449
18	-0.213688	-1.6414	0.05302
19	-0.144307	-1.1084	0.136084
20	0.36508	2.8042	0.003409
21	-0.180812	-1.3888	0.085051
22	-0.182396	-1.401	0.083224
23	-0.06327	-0.486	0.314388
24	0.472401	3.6286	0.000298
25	-0.13659	-1.0492	0.14919
26	-0.166934	-1.2822	0.102387
27	-0.10689	-0.821	0.207465
28	0.295154	2.2671	0.013531
29	-0.078726	-0.6047	0.273848
30	-0.172912	-1.3282	0.09462
31	-0.112286	-0.8625	0.195956
32	0.198045	1.5212	0.066774
33	-0.121412	-0.9326	0.177418
34	-0.079758	-0.6126	0.271237
35	-0.078374	-0.602	0.274738
36	0.248917	1.912	0.03037
37	-0.089217	-0.6853	0.247924
38	-0.106318	-0.8166	0.208708
39	-0.065227	-0.501	0.309111
40	0.127741	0.9812	0.165251
41	-0.050948	-0.3913	0.348479
42	-0.103487	-0.7949	0.214928
43	-0.052459	-0.4029	0.344223
44	0.094958	0.7294	0.234326
45	-0.064509	-0.4955	0.311043
46	-0.007674	-0.0589	0.476596
47	-0.037632	-0.2891	0.386775
48	0.091051	0.6994	0.243533

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.146445	-1.1249	0.132601
2	-0.227056	-1.744	0.043179
3	-0.230473	-1.7703	0.040922
4	0.519353	3.9892	9.3e-05
5	-0.062647	-0.4812	0.316077
6	-0.132809	-1.0201	0.155916
7	-0.135489	-1.0407	0.151128
8	0.224286	1.7228	0.045084
9	-0.140827	-1.0817	0.14189
10	-0.030282	-0.2326	0.408439
11	0.004731	0.0363	0.485569
12	0.527672	4.0531	7.5e-05
13	0.006887	0.0529	0.478994
14	-0.085489	-0.6567	0.256979
15	-0.088973	-0.6834	0.24851
16	-0.272156	-2.0905	0.020447
17	-0.058972	-0.453	0.326114
18	0.026264	0.2017	0.420409
19	0.088345	0.6786	0.250025
20	-0.08691	-0.6676	0.253505
21	-0.019818	-0.1522	0.439766
22	-0.074348	-0.5711	0.285057
23	0.00377	0.029	0.488497
24	-0.036452	-0.28	0.39023
25	0.040819	0.3135	0.37749
26	0.118181	0.9078	0.183847
27	-0.045368	-0.3485	0.36436
28	-0.095023	-0.7299	0.234173
29	0.039181	0.301	0.382254
30	-0.053808	-0.4133	0.34044
31	-0.049034	-0.3766	0.353899
32	-0.089254	-0.6856	0.247834
33	-0.011	-0.0845	0.466474
34	0.139959	1.075	0.143366
35	-0.100332	-0.7707	0.22199
36	-0.108464	-0.8331	0.204065
37	-0.074087	-0.5691	0.285734
38	-0.109268	-0.8393	0.202342
39	0.058484	0.4492	0.327458
40	-0.007302	-0.0561	0.47773
41	-0.049319	-0.3788	0.353088
42	-0.046122	-0.3543	0.3622
43	0.066652	0.512	0.305293
44	0.059402	0.4563	0.324934
45	0.020953	0.1609	0.436345
46	-0.022679	-0.1742	0.431152
47	-0.02611	-0.2006	0.420869
48	-0.074516	-0.5724	0.284623

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.146445 & -1.1249 & 0.132601 \tabularnewline
2 & -0.227056 & -1.744 & 0.043179 \tabularnewline
3 & -0.230473 & -1.7703 & 0.040922 \tabularnewline
4 & 0.519353 & 3.9892 & 9.3e-05 \tabularnewline
5 & -0.062647 & -0.4812 & 0.316077 \tabularnewline
6 & -0.132809 & -1.0201 & 0.155916 \tabularnewline
7 & -0.135489 & -1.0407 & 0.151128 \tabularnewline
8 & 0.224286 & 1.7228 & 0.045084 \tabularnewline
9 & -0.140827 & -1.0817 & 0.14189 \tabularnewline
10 & -0.030282 & -0.2326 & 0.408439 \tabularnewline
11 & 0.004731 & 0.0363 & 0.485569 \tabularnewline
12 & 0.527672 & 4.0531 & 7.5e-05 \tabularnewline
13 & 0.006887 & 0.0529 & 0.478994 \tabularnewline
14 & -0.085489 & -0.6567 & 0.256979 \tabularnewline
15 & -0.088973 & -0.6834 & 0.24851 \tabularnewline
16 & -0.272156 & -2.0905 & 0.020447 \tabularnewline
17 & -0.058972 & -0.453 & 0.326114 \tabularnewline
18 & 0.026264 & 0.2017 & 0.420409 \tabularnewline
19 & 0.088345 & 0.6786 & 0.250025 \tabularnewline
20 & -0.08691 & -0.6676 & 0.253505 \tabularnewline
21 & -0.019818 & -0.1522 & 0.439766 \tabularnewline
22 & -0.074348 & -0.5711 & 0.285057 \tabularnewline
23 & 0.00377 & 0.029 & 0.488497 \tabularnewline
24 & -0.036452 & -0.28 & 0.39023 \tabularnewline
25 & 0.040819 & 0.3135 & 0.37749 \tabularnewline
26 & 0.118181 & 0.9078 & 0.183847 \tabularnewline
27 & -0.045368 & -0.3485 & 0.36436 \tabularnewline
28 & -0.095023 & -0.7299 & 0.234173 \tabularnewline
29 & 0.039181 & 0.301 & 0.382254 \tabularnewline
30 & -0.053808 & -0.4133 & 0.34044 \tabularnewline
31 & -0.049034 & -0.3766 & 0.353899 \tabularnewline
32 & -0.089254 & -0.6856 & 0.247834 \tabularnewline
33 & -0.011 & -0.0845 & 0.466474 \tabularnewline
34 & 0.139959 & 1.075 & 0.143366 \tabularnewline
35 & -0.100332 & -0.7707 & 0.22199 \tabularnewline
36 & -0.108464 & -0.8331 & 0.204065 \tabularnewline
37 & -0.074087 & -0.5691 & 0.285734 \tabularnewline
38 & -0.109268 & -0.8393 & 0.202342 \tabularnewline
39 & 0.058484 & 0.4492 & 0.327458 \tabularnewline
40 & -0.007302 & -0.0561 & 0.47773 \tabularnewline
41 & -0.049319 & -0.3788 & 0.353088 \tabularnewline
42 & -0.046122 & -0.3543 & 0.3622 \tabularnewline
43 & 0.066652 & 0.512 & 0.305293 \tabularnewline
44 & 0.059402 & 0.4563 & 0.324934 \tabularnewline
45 & 0.020953 & 0.1609 & 0.436345 \tabularnewline
46 & -0.022679 & -0.1742 & 0.431152 \tabularnewline
47 & -0.02611 & -0.2006 & 0.420869 \tabularnewline
48 & -0.074516 & -0.5724 & 0.284623 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107921&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]-0.146445[/C][C]-1.1249[/C][C]0.132601[/C][/ROW]
[ROW][C]2[/C][C]-0.227056[/C][C]-1.744[/C][C]0.043179[/C][/ROW]
[ROW][C]3[/C][C]-0.230473[/C][C]-1.7703[/C][C]0.040922[/C][/ROW]
[ROW][C]4[/C][C]0.519353[/C][C]3.9892[/C][C]9.3e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.062647[/C][C]-0.4812[/C][C]0.316077[/C][/ROW]
[ROW][C]6[/C][C]-0.132809[/C][C]-1.0201[/C][C]0.155916[/C][/ROW]
[ROW][C]7[/C][C]-0.135489[/C][C]-1.0407[/C][C]0.151128[/C][/ROW]
[ROW][C]8[/C][C]0.224286[/C][C]1.7228[/C][C]0.045084[/C][/ROW]
[ROW][C]9[/C][C]-0.140827[/C][C]-1.0817[/C][C]0.14189[/C][/ROW]
[ROW][C]10[/C][C]-0.030282[/C][C]-0.2326[/C][C]0.408439[/C][/ROW]
[ROW][C]11[/C][C]0.004731[/C][C]0.0363[/C][C]0.485569[/C][/ROW]
[ROW][C]12[/C][C]0.527672[/C][C]4.0531[/C][C]7.5e-05[/C][/ROW]
[ROW][C]13[/C][C]0.006887[/C][C]0.0529[/C][C]0.478994[/C][/ROW]
[ROW][C]14[/C][C]-0.085489[/C][C]-0.6567[/C][C]0.256979[/C][/ROW]
[ROW][C]15[/C][C]-0.088973[/C][C]-0.6834[/C][C]0.24851[/C][/ROW]
[ROW][C]16[/C][C]-0.272156[/C][C]-2.0905[/C][C]0.020447[/C][/ROW]
[ROW][C]17[/C][C]-0.058972[/C][C]-0.453[/C][C]0.326114[/C][/ROW]
[ROW][C]18[/C][C]0.026264[/C][C]0.2017[/C][C]0.420409[/C][/ROW]
[ROW][C]19[/C][C]0.088345[/C][C]0.6786[/C][C]0.250025[/C][/ROW]
[ROW][C]20[/C][C]-0.08691[/C][C]-0.6676[/C][C]0.253505[/C][/ROW]
[ROW][C]21[/C][C]-0.019818[/C][C]-0.1522[/C][C]0.439766[/C][/ROW]
[ROW][C]22[/C][C]-0.074348[/C][C]-0.5711[/C][C]0.285057[/C][/ROW]
[ROW][C]23[/C][C]0.00377[/C][C]0.029[/C][C]0.488497[/C][/ROW]
[ROW][C]24[/C][C]-0.036452[/C][C]-0.28[/C][C]0.39023[/C][/ROW]
[ROW][C]25[/C][C]0.040819[/C][C]0.3135[/C][C]0.37749[/C][/ROW]
[ROW][C]26[/C][C]0.118181[/C][C]0.9078[/C][C]0.183847[/C][/ROW]
[ROW][C]27[/C][C]-0.045368[/C][C]-0.3485[/C][C]0.36436[/C][/ROW]
[ROW][C]28[/C][C]-0.095023[/C][C]-0.7299[/C][C]0.234173[/C][/ROW]
[ROW][C]29[/C][C]0.039181[/C][C]0.301[/C][C]0.382254[/C][/ROW]
[ROW][C]30[/C][C]-0.053808[/C][C]-0.4133[/C][C]0.34044[/C][/ROW]
[ROW][C]31[/C][C]-0.049034[/C][C]-0.3766[/C][C]0.353899[/C][/ROW]
[ROW][C]32[/C][C]-0.089254[/C][C]-0.6856[/C][C]0.247834[/C][/ROW]
[ROW][C]33[/C][C]-0.011[/C][C]-0.0845[/C][C]0.466474[/C][/ROW]
[ROW][C]34[/C][C]0.139959[/C][C]1.075[/C][C]0.143366[/C][/ROW]
[ROW][C]35[/C][C]-0.100332[/C][C]-0.7707[/C][C]0.22199[/C][/ROW]
[ROW][C]36[/C][C]-0.108464[/C][C]-0.8331[/C][C]0.204065[/C][/ROW]
[ROW][C]37[/C][C]-0.074087[/C][C]-0.5691[/C][C]0.285734[/C][/ROW]
[ROW][C]38[/C][C]-0.109268[/C][C]-0.8393[/C][C]0.202342[/C][/ROW]
[ROW][C]39[/C][C]0.058484[/C][C]0.4492[/C][C]0.327458[/C][/ROW]
[ROW][C]40[/C][C]-0.007302[/C][C]-0.0561[/C][C]0.47773[/C][/ROW]
[ROW][C]41[/C][C]-0.049319[/C][C]-0.3788[/C][C]0.353088[/C][/ROW]
[ROW][C]42[/C][C]-0.046122[/C][C]-0.3543[/C][C]0.3622[/C][/ROW]
[ROW][C]43[/C][C]0.066652[/C][C]0.512[/C][C]0.305293[/C][/ROW]
[ROW][C]44[/C][C]0.059402[/C][C]0.4563[/C][C]0.324934[/C][/ROW]
[ROW][C]45[/C][C]0.020953[/C][C]0.1609[/C][C]0.436345[/C][/ROW]
[ROW][C]46[/C][C]-0.022679[/C][C]-0.1742[/C][C]0.431152[/C][/ROW]
[ROW][C]47[/C][C]-0.02611[/C][C]-0.2006[/C][C]0.420869[/C][/ROW]
[ROW][C]48[/C][C]-0.074516[/C][C]-0.5724[/C][C]0.284623[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107921&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107921&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	-0.146445	-1.1249	0.132601
2	-0.227056	-1.744	0.043179
3	-0.230473	-1.7703	0.040922
4	0.519353	3.9892	9.3e-05
5	-0.062647	-0.4812	0.316077
6	-0.132809	-1.0201	0.155916
7	-0.135489	-1.0407	0.151128
8	0.224286	1.7228	0.045084
9	-0.140827	-1.0817	0.14189
10	-0.030282	-0.2326	0.408439
11	0.004731	0.0363	0.485569
12	0.527672	4.0531	7.5e-05
13	0.006887	0.0529	0.478994
14	-0.085489	-0.6567	0.256979
15	-0.088973	-0.6834	0.24851
16	-0.272156	-2.0905	0.020447
17	-0.058972	-0.453	0.326114
18	0.026264	0.2017	0.420409
19	0.088345	0.6786	0.250025
20	-0.08691	-0.6676	0.253505
21	-0.019818	-0.1522	0.439766
22	-0.074348	-0.5711	0.285057
23	0.00377	0.029	0.488497
24	-0.036452	-0.28	0.39023
25	0.040819	0.3135	0.37749
26	0.118181	0.9078	0.183847
27	-0.045368	-0.3485	0.36436
28	-0.095023	-0.7299	0.234173
29	0.039181	0.301	0.382254
30	-0.053808	-0.4133	0.34044
31	-0.049034	-0.3766	0.353899
32	-0.089254	-0.6856	0.247834
33	-0.011	-0.0845	0.466474
34	0.139959	1.075	0.143366
35	-0.100332	-0.7707	0.22199
36	-0.108464	-0.8331	0.204065
37	-0.074087	-0.5691	0.285734
38	-0.109268	-0.8393	0.202342
39	0.058484	0.4492	0.327458
40	-0.007302	-0.0561	0.47773
41	-0.049319	-0.3788	0.353088
42	-0.046122	-0.3543	0.3622
43	0.066652	0.512	0.305293
44	0.059402	0.4563	0.324934
45	0.020953	0.1609	0.436345
46	-0.022679	-0.1742	0.431152
47	-0.02611	-0.2006	0.420869
48	-0.074516	-0.5724	0.284623

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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