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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Wed, 08 Dec 2010 14:42:29 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/08/t12918192979pr6xiud2p2okrv.htm/, Retrieved Fri, 03 May 2024 13:14:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106914, Retrieved Fri, 03 May 2024 13:14:50 +0000

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User-defined keywords

Estimated Impact

156

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] [ WS 9 : ACF - d=0...] [2010-12-08 10:48:57] [2c786c21adba4dd4c8af44dce5258f06]
-   P               [(Partial) Autocorrelation Function] [ws 9 : ACF d=0  D...] [2010-12-08 14:42:29] [fea2623c21d84eea50328c29ea7301e7] [Current]
- R PD                [(Partial) Autocorrelation Function] [] [2011-12-23 14:11:55] [53298c36f9bda1a036c4d70d0e7a311d] 

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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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106914&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106914&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106914&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.140289	1.1904	0.118902
2	-0.272958	-2.3161	0.011701
3	0.172633	1.4648	0.073658
4	0.001615	0.0137	0.494553
5	-0.034428	-0.2921	0.385514
6	0.197239	1.6736	0.049272
7	-0.006224	-0.0528	0.479013
8	0.086649	0.7352	0.232289
9	0.155618	1.3205	0.095431
10	-0.274311	-2.3276	0.011374
11	0.076792	0.6516	0.258367
12	0.66264	5.6227	0
13	0.027428	0.2327	0.408315
14	-0.284418	-2.4134	0.009176
15	0.044232	0.3753	0.354264
16	-0.0405	-0.3437	0.366055
17	-0.052849	-0.4484	0.327593
18	0.045076	0.3825	0.351616
19	-0.077661	-0.659	0.256007
20	-0.0233	-0.1977	0.421915
21	0.00764	0.0648	0.474246
22	-0.24994	-2.1208	0.018691
23	-0.007413	-0.0629	0.475011
24	0.452373	3.8385	0.000132
25	0.052927	0.4491	0.327353
26	-0.287982	-2.4436	0.008497
27	-0.064886	-0.5506	0.291814
28	-0.071965	-0.6106	0.27168
29	-0.10652	-0.9039	0.184543
30	0.00569	0.0483	0.480813
31	-0.074799	-0.6347	0.263822
32	-0.086005	-0.7298	0.233948
33	0.019966	0.1694	0.432972
34	-0.164534	-1.3961	0.083484
35	-0.053032	-0.45	0.327035
36	0.349963	2.9695	0.002025
37	0.026262	0.2228	0.412145
38	-0.274482	-2.3291	0.011333
39	-0.050682	-0.43	0.334222
40	-0.052794	-0.448	0.327761
41	-0.097122	-0.8241	0.206299
42	0.039508	0.3352	0.36921
43	-0.042473	-0.3604	0.359804
44	-0.05371	-0.4557	0.324972
45	0.059338	0.5035	0.308074
46	-0.110703	-0.9393	0.175347
47	-0.068988	-0.5854	0.280061
48	0.248906	2.112	0.019077

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.140289 & 1.1904 & 0.118902 \tabularnewline
2 & -0.272958 & -2.3161 & 0.011701 \tabularnewline
3 & 0.172633 & 1.4648 & 0.073658 \tabularnewline
4 & 0.001615 & 0.0137 & 0.494553 \tabularnewline
5 & -0.034428 & -0.2921 & 0.385514 \tabularnewline
6 & 0.197239 & 1.6736 & 0.049272 \tabularnewline
7 & -0.006224 & -0.0528 & 0.479013 \tabularnewline
8 & 0.086649 & 0.7352 & 0.232289 \tabularnewline
9 & 0.155618 & 1.3205 & 0.095431 \tabularnewline
10 & -0.274311 & -2.3276 & 0.011374 \tabularnewline
11 & 0.076792 & 0.6516 & 0.258367 \tabularnewline
12 & 0.66264 & 5.6227 & 0 \tabularnewline
13 & 0.027428 & 0.2327 & 0.408315 \tabularnewline
14 & -0.284418 & -2.4134 & 0.009176 \tabularnewline
15 & 0.044232 & 0.3753 & 0.354264 \tabularnewline
16 & -0.0405 & -0.3437 & 0.366055 \tabularnewline
17 & -0.052849 & -0.4484 & 0.327593 \tabularnewline
18 & 0.045076 & 0.3825 & 0.351616 \tabularnewline
19 & -0.077661 & -0.659 & 0.256007 \tabularnewline
20 & -0.0233 & -0.1977 & 0.421915 \tabularnewline
21 & 0.00764 & 0.0648 & 0.474246 \tabularnewline
22 & -0.24994 & -2.1208 & 0.018691 \tabularnewline
23 & -0.007413 & -0.0629 & 0.475011 \tabularnewline
24 & 0.452373 & 3.8385 & 0.000132 \tabularnewline
25 & 0.052927 & 0.4491 & 0.327353 \tabularnewline
26 & -0.287982 & -2.4436 & 0.008497 \tabularnewline
27 & -0.064886 & -0.5506 & 0.291814 \tabularnewline
28 & -0.071965 & -0.6106 & 0.27168 \tabularnewline
29 & -0.10652 & -0.9039 & 0.184543 \tabularnewline
30 & 0.00569 & 0.0483 & 0.480813 \tabularnewline
31 & -0.074799 & -0.6347 & 0.263822 \tabularnewline
32 & -0.086005 & -0.7298 & 0.233948 \tabularnewline
33 & 0.019966 & 0.1694 & 0.432972 \tabularnewline
34 & -0.164534 & -1.3961 & 0.083484 \tabularnewline
35 & -0.053032 & -0.45 & 0.327035 \tabularnewline
36 & 0.349963 & 2.9695 & 0.002025 \tabularnewline
37 & 0.026262 & 0.2228 & 0.412145 \tabularnewline
38 & -0.274482 & -2.3291 & 0.011333 \tabularnewline
39 & -0.050682 & -0.43 & 0.334222 \tabularnewline
40 & -0.052794 & -0.448 & 0.327761 \tabularnewline
41 & -0.097122 & -0.8241 & 0.206299 \tabularnewline
42 & 0.039508 & 0.3352 & 0.36921 \tabularnewline
43 & -0.042473 & -0.3604 & 0.359804 \tabularnewline
44 & -0.05371 & -0.4557 & 0.324972 \tabularnewline
45 & 0.059338 & 0.5035 & 0.308074 \tabularnewline
46 & -0.110703 & -0.9393 & 0.175347 \tabularnewline
47 & -0.068988 & -0.5854 & 0.280061 \tabularnewline
48 & 0.248906 & 2.112 & 0.019077 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106914&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]0.140289[/C][C]1.1904[/C][C]0.118902[/C][/ROW]
[ROW][C]2[/C][C]-0.272958[/C][C]-2.3161[/C][C]0.011701[/C][/ROW]
[ROW][C]3[/C][C]0.172633[/C][C]1.4648[/C][C]0.073658[/C][/ROW]
[ROW][C]4[/C][C]0.001615[/C][C]0.0137[/C][C]0.494553[/C][/ROW]
[ROW][C]5[/C][C]-0.034428[/C][C]-0.2921[/C][C]0.385514[/C][/ROW]
[ROW][C]6[/C][C]0.197239[/C][C]1.6736[/C][C]0.049272[/C][/ROW]
[ROW][C]7[/C][C]-0.006224[/C][C]-0.0528[/C][C]0.479013[/C][/ROW]
[ROW][C]8[/C][C]0.086649[/C][C]0.7352[/C][C]0.232289[/C][/ROW]
[ROW][C]9[/C][C]0.155618[/C][C]1.3205[/C][C]0.095431[/C][/ROW]
[ROW][C]10[/C][C]-0.274311[/C][C]-2.3276[/C][C]0.011374[/C][/ROW]
[ROW][C]11[/C][C]0.076792[/C][C]0.6516[/C][C]0.258367[/C][/ROW]
[ROW][C]12[/C][C]0.66264[/C][C]5.6227[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.027428[/C][C]0.2327[/C][C]0.408315[/C][/ROW]
[ROW][C]14[/C][C]-0.284418[/C][C]-2.4134[/C][C]0.009176[/C][/ROW]
[ROW][C]15[/C][C]0.044232[/C][C]0.3753[/C][C]0.354264[/C][/ROW]
[ROW][C]16[/C][C]-0.0405[/C][C]-0.3437[/C][C]0.366055[/C][/ROW]
[ROW][C]17[/C][C]-0.052849[/C][C]-0.4484[/C][C]0.327593[/C][/ROW]
[ROW][C]18[/C][C]0.045076[/C][C]0.3825[/C][C]0.351616[/C][/ROW]
[ROW][C]19[/C][C]-0.077661[/C][C]-0.659[/C][C]0.256007[/C][/ROW]
[ROW][C]20[/C][C]-0.0233[/C][C]-0.1977[/C][C]0.421915[/C][/ROW]
[ROW][C]21[/C][C]0.00764[/C][C]0.0648[/C][C]0.474246[/C][/ROW]
[ROW][C]22[/C][C]-0.24994[/C][C]-2.1208[/C][C]0.018691[/C][/ROW]
[ROW][C]23[/C][C]-0.007413[/C][C]-0.0629[/C][C]0.475011[/C][/ROW]
[ROW][C]24[/C][C]0.452373[/C][C]3.8385[/C][C]0.000132[/C][/ROW]
[ROW][C]25[/C][C]0.052927[/C][C]0.4491[/C][C]0.327353[/C][/ROW]
[ROW][C]26[/C][C]-0.287982[/C][C]-2.4436[/C][C]0.008497[/C][/ROW]
[ROW][C]27[/C][C]-0.064886[/C][C]-0.5506[/C][C]0.291814[/C][/ROW]
[ROW][C]28[/C][C]-0.071965[/C][C]-0.6106[/C][C]0.27168[/C][/ROW]
[ROW][C]29[/C][C]-0.10652[/C][C]-0.9039[/C][C]0.184543[/C][/ROW]
[ROW][C]30[/C][C]0.00569[/C][C]0.0483[/C][C]0.480813[/C][/ROW]
[ROW][C]31[/C][C]-0.074799[/C][C]-0.6347[/C][C]0.263822[/C][/ROW]
[ROW][C]32[/C][C]-0.086005[/C][C]-0.7298[/C][C]0.233948[/C][/ROW]
[ROW][C]33[/C][C]0.019966[/C][C]0.1694[/C][C]0.432972[/C][/ROW]
[ROW][C]34[/C][C]-0.164534[/C][C]-1.3961[/C][C]0.083484[/C][/ROW]
[ROW][C]35[/C][C]-0.053032[/C][C]-0.45[/C][C]0.327035[/C][/ROW]
[ROW][C]36[/C][C]0.349963[/C][C]2.9695[/C][C]0.002025[/C][/ROW]
[ROW][C]37[/C][C]0.026262[/C][C]0.2228[/C][C]0.412145[/C][/ROW]
[ROW][C]38[/C][C]-0.274482[/C][C]-2.3291[/C][C]0.011333[/C][/ROW]
[ROW][C]39[/C][C]-0.050682[/C][C]-0.43[/C][C]0.334222[/C][/ROW]
[ROW][C]40[/C][C]-0.052794[/C][C]-0.448[/C][C]0.327761[/C][/ROW]
[ROW][C]41[/C][C]-0.097122[/C][C]-0.8241[/C][C]0.206299[/C][/ROW]
[ROW][C]42[/C][C]0.039508[/C][C]0.3352[/C][C]0.36921[/C][/ROW]
[ROW][C]43[/C][C]-0.042473[/C][C]-0.3604[/C][C]0.359804[/C][/ROW]
[ROW][C]44[/C][C]-0.05371[/C][C]-0.4557[/C][C]0.324972[/C][/ROW]
[ROW][C]45[/C][C]0.059338[/C][C]0.5035[/C][C]0.308074[/C][/ROW]
[ROW][C]46[/C][C]-0.110703[/C][C]-0.9393[/C][C]0.175347[/C][/ROW]
[ROW][C]47[/C][C]-0.068988[/C][C]-0.5854[/C][C]0.280061[/C][/ROW]
[ROW][C]48[/C][C]0.248906[/C][C]2.112[/C][C]0.019077[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106914&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106914&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	0.140289	1.1904	0.118902
2	-0.272958	-2.3161	0.011701
3	0.172633	1.4648	0.073658
4	0.001615	0.0137	0.494553
5	-0.034428	-0.2921	0.385514
6	0.197239	1.6736	0.049272
7	-0.006224	-0.0528	0.479013
8	0.086649	0.7352	0.232289
9	0.155618	1.3205	0.095431
10	-0.274311	-2.3276	0.011374
11	0.076792	0.6516	0.258367
12	0.66264	5.6227	0
13	0.027428	0.2327	0.408315
14	-0.284418	-2.4134	0.009176
15	0.044232	0.3753	0.354264
16	-0.0405	-0.3437	0.366055
17	-0.052849	-0.4484	0.327593
18	0.045076	0.3825	0.351616
19	-0.077661	-0.659	0.256007
20	-0.0233	-0.1977	0.421915
21	0.00764	0.0648	0.474246
22	-0.24994	-2.1208	0.018691
23	-0.007413	-0.0629	0.475011
24	0.452373	3.8385	0.000132
25	0.052927	0.4491	0.327353
26	-0.287982	-2.4436	0.008497
27	-0.064886	-0.5506	0.291814
28	-0.071965	-0.6106	0.27168
29	-0.10652	-0.9039	0.184543
30	0.00569	0.0483	0.480813
31	-0.074799	-0.6347	0.263822
32	-0.086005	-0.7298	0.233948
33	0.019966	0.1694	0.432972
34	-0.164534	-1.3961	0.083484
35	-0.053032	-0.45	0.327035
36	0.349963	2.9695	0.002025
37	0.026262	0.2228	0.412145
38	-0.274482	-2.3291	0.011333
39	-0.050682	-0.43	0.334222
40	-0.052794	-0.448	0.327761
41	-0.097122	-0.8241	0.206299
42	0.039508	0.3352	0.36921
43	-0.042473	-0.3604	0.359804
44	-0.05371	-0.4557	0.324972
45	0.059338	0.5035	0.308074
46	-0.110703	-0.9393	0.175347
47	-0.068988	-0.5854	0.280061
48	0.248906	2.112	0.019077

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.140289	1.1904	0.118902
2	-0.298514	-2.533	0.006745
3	0.295909	2.5109	0.007145
4	-0.224346	-1.9036	0.030477
5	0.217541	1.8459	0.034509
6	0.029594	0.2511	0.401222
7	0.00263	0.0223	0.491128
8	0.237534	2.0155	0.02379
9	-0.068014	-0.5771	0.282831
10	-0.205634	-1.7449	0.042638
11	0.313915	2.6637	0.004766
12	0.479743	4.0708	5.9e-05
13	-0.146859	-1.2461	0.108376
14	-0.123656	-1.0493	0.148784
15	-0.176841	-1.5005	0.068923
16	0.065916	0.5593	0.28884
17	-0.069209	-0.5873	0.279434
18	-0.178375	-1.5136	0.067258
19	-0.087082	-0.7389	0.231179
20	-0.269341	-2.2854	0.012617
21	-0.001466	-0.0124	0.495056
22	0.015101	0.1281	0.449199
23	-0.048169	-0.4087	0.341977
24	0.132707	1.1261	0.13194
25	0.084098	0.7136	0.238892
26	0.058788	0.4988	0.30971
27	0.009657	0.0819	0.467461
28	-0.054049	-0.4586	0.323944
29	0.007488	0.0635	0.474757
30	0.026732	0.2268	0.4106
31	-0.085812	-0.7281	0.234446
32	-0.105832	-0.898	0.186087
33	0.010712	0.0909	0.463914
34	-0.023426	-0.1988	0.421501
35	0.029184	0.2476	0.40256
36	-0.034569	-0.2933	0.385057
37	-0.12446	-1.0561	0.147231
38	0.051194	0.4344	0.332649
39	0.00948	0.0804	0.468056
40	0.068353	0.58	0.281863
41	-0.087943	-0.7462	0.228983
42	-0.009568	-0.0812	0.46776
43	0.08615	0.731	0.233574
44	0.096147	0.8158	0.208644
45	0.02217	0.1881	0.425655
46	-0.04009	-0.3402	0.367356
47	-0.111229	-0.9438	0.174211
48	-0.06322	-0.5364	0.296655

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.140289 & 1.1904 & 0.118902 \tabularnewline
2 & -0.298514 & -2.533 & 0.006745 \tabularnewline
3 & 0.295909 & 2.5109 & 0.007145 \tabularnewline
4 & -0.224346 & -1.9036 & 0.030477 \tabularnewline
5 & 0.217541 & 1.8459 & 0.034509 \tabularnewline
6 & 0.029594 & 0.2511 & 0.401222 \tabularnewline
7 & 0.00263 & 0.0223 & 0.491128 \tabularnewline
8 & 0.237534 & 2.0155 & 0.02379 \tabularnewline
9 & -0.068014 & -0.5771 & 0.282831 \tabularnewline
10 & -0.205634 & -1.7449 & 0.042638 \tabularnewline
11 & 0.313915 & 2.6637 & 0.004766 \tabularnewline
12 & 0.479743 & 4.0708 & 5.9e-05 \tabularnewline
13 & -0.146859 & -1.2461 & 0.108376 \tabularnewline
14 & -0.123656 & -1.0493 & 0.148784 \tabularnewline
15 & -0.176841 & -1.5005 & 0.068923 \tabularnewline
16 & 0.065916 & 0.5593 & 0.28884 \tabularnewline
17 & -0.069209 & -0.5873 & 0.279434 \tabularnewline
18 & -0.178375 & -1.5136 & 0.067258 \tabularnewline
19 & -0.087082 & -0.7389 & 0.231179 \tabularnewline
20 & -0.269341 & -2.2854 & 0.012617 \tabularnewline
21 & -0.001466 & -0.0124 & 0.495056 \tabularnewline
22 & 0.015101 & 0.1281 & 0.449199 \tabularnewline
23 & -0.048169 & -0.4087 & 0.341977 \tabularnewline
24 & 0.132707 & 1.1261 & 0.13194 \tabularnewline
25 & 0.084098 & 0.7136 & 0.238892 \tabularnewline
26 & 0.058788 & 0.4988 & 0.30971 \tabularnewline
27 & 0.009657 & 0.0819 & 0.467461 \tabularnewline
28 & -0.054049 & -0.4586 & 0.323944 \tabularnewline
29 & 0.007488 & 0.0635 & 0.474757 \tabularnewline
30 & 0.026732 & 0.2268 & 0.4106 \tabularnewline
31 & -0.085812 & -0.7281 & 0.234446 \tabularnewline
32 & -0.105832 & -0.898 & 0.186087 \tabularnewline
33 & 0.010712 & 0.0909 & 0.463914 \tabularnewline
34 & -0.023426 & -0.1988 & 0.421501 \tabularnewline
35 & 0.029184 & 0.2476 & 0.40256 \tabularnewline
36 & -0.034569 & -0.2933 & 0.385057 \tabularnewline
37 & -0.12446 & -1.0561 & 0.147231 \tabularnewline
38 & 0.051194 & 0.4344 & 0.332649 \tabularnewline
39 & 0.00948 & 0.0804 & 0.468056 \tabularnewline
40 & 0.068353 & 0.58 & 0.281863 \tabularnewline
41 & -0.087943 & -0.7462 & 0.228983 \tabularnewline
42 & -0.009568 & -0.0812 & 0.46776 \tabularnewline
43 & 0.08615 & 0.731 & 0.233574 \tabularnewline
44 & 0.096147 & 0.8158 & 0.208644 \tabularnewline
45 & 0.02217 & 0.1881 & 0.425655 \tabularnewline
46 & -0.04009 & -0.3402 & 0.367356 \tabularnewline
47 & -0.111229 & -0.9438 & 0.174211 \tabularnewline
48 & -0.06322 & -0.5364 & 0.296655 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106914&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]0.140289[/C][C]1.1904[/C][C]0.118902[/C][/ROW]
[ROW][C]2[/C][C]-0.298514[/C][C]-2.533[/C][C]0.006745[/C][/ROW]
[ROW][C]3[/C][C]0.295909[/C][C]2.5109[/C][C]0.007145[/C][/ROW]
[ROW][C]4[/C][C]-0.224346[/C][C]-1.9036[/C][C]0.030477[/C][/ROW]
[ROW][C]5[/C][C]0.217541[/C][C]1.8459[/C][C]0.034509[/C][/ROW]
[ROW][C]6[/C][C]0.029594[/C][C]0.2511[/C][C]0.401222[/C][/ROW]
[ROW][C]7[/C][C]0.00263[/C][C]0.0223[/C][C]0.491128[/C][/ROW]
[ROW][C]8[/C][C]0.237534[/C][C]2.0155[/C][C]0.02379[/C][/ROW]
[ROW][C]9[/C][C]-0.068014[/C][C]-0.5771[/C][C]0.282831[/C][/ROW]
[ROW][C]10[/C][C]-0.205634[/C][C]-1.7449[/C][C]0.042638[/C][/ROW]
[ROW][C]11[/C][C]0.313915[/C][C]2.6637[/C][C]0.004766[/C][/ROW]
[ROW][C]12[/C][C]0.479743[/C][C]4.0708[/C][C]5.9e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.146859[/C][C]-1.2461[/C][C]0.108376[/C][/ROW]
[ROW][C]14[/C][C]-0.123656[/C][C]-1.0493[/C][C]0.148784[/C][/ROW]
[ROW][C]15[/C][C]-0.176841[/C][C]-1.5005[/C][C]0.068923[/C][/ROW]
[ROW][C]16[/C][C]0.065916[/C][C]0.5593[/C][C]0.28884[/C][/ROW]
[ROW][C]17[/C][C]-0.069209[/C][C]-0.5873[/C][C]0.279434[/C][/ROW]
[ROW][C]18[/C][C]-0.178375[/C][C]-1.5136[/C][C]0.067258[/C][/ROW]
[ROW][C]19[/C][C]-0.087082[/C][C]-0.7389[/C][C]0.231179[/C][/ROW]
[ROW][C]20[/C][C]-0.269341[/C][C]-2.2854[/C][C]0.012617[/C][/ROW]
[ROW][C]21[/C][C]-0.001466[/C][C]-0.0124[/C][C]0.495056[/C][/ROW]
[ROW][C]22[/C][C]0.015101[/C][C]0.1281[/C][C]0.449199[/C][/ROW]
[ROW][C]23[/C][C]-0.048169[/C][C]-0.4087[/C][C]0.341977[/C][/ROW]
[ROW][C]24[/C][C]0.132707[/C][C]1.1261[/C][C]0.13194[/C][/ROW]
[ROW][C]25[/C][C]0.084098[/C][C]0.7136[/C][C]0.238892[/C][/ROW]
[ROW][C]26[/C][C]0.058788[/C][C]0.4988[/C][C]0.30971[/C][/ROW]
[ROW][C]27[/C][C]0.009657[/C][C]0.0819[/C][C]0.467461[/C][/ROW]
[ROW][C]28[/C][C]-0.054049[/C][C]-0.4586[/C][C]0.323944[/C][/ROW]
[ROW][C]29[/C][C]0.007488[/C][C]0.0635[/C][C]0.474757[/C][/ROW]
[ROW][C]30[/C][C]0.026732[/C][C]0.2268[/C][C]0.4106[/C][/ROW]
[ROW][C]31[/C][C]-0.085812[/C][C]-0.7281[/C][C]0.234446[/C][/ROW]
[ROW][C]32[/C][C]-0.105832[/C][C]-0.898[/C][C]0.186087[/C][/ROW]
[ROW][C]33[/C][C]0.010712[/C][C]0.0909[/C][C]0.463914[/C][/ROW]
[ROW][C]34[/C][C]-0.023426[/C][C]-0.1988[/C][C]0.421501[/C][/ROW]
[ROW][C]35[/C][C]0.029184[/C][C]0.2476[/C][C]0.40256[/C][/ROW]
[ROW][C]36[/C][C]-0.034569[/C][C]-0.2933[/C][C]0.385057[/C][/ROW]
[ROW][C]37[/C][C]-0.12446[/C][C]-1.0561[/C][C]0.147231[/C][/ROW]
[ROW][C]38[/C][C]0.051194[/C][C]0.4344[/C][C]0.332649[/C][/ROW]
[ROW][C]39[/C][C]0.00948[/C][C]0.0804[/C][C]0.468056[/C][/ROW]
[ROW][C]40[/C][C]0.068353[/C][C]0.58[/C][C]0.281863[/C][/ROW]
[ROW][C]41[/C][C]-0.087943[/C][C]-0.7462[/C][C]0.228983[/C][/ROW]
[ROW][C]42[/C][C]-0.009568[/C][C]-0.0812[/C][C]0.46776[/C][/ROW]
[ROW][C]43[/C][C]0.08615[/C][C]0.731[/C][C]0.233574[/C][/ROW]
[ROW][C]44[/C][C]0.096147[/C][C]0.8158[/C][C]0.208644[/C][/ROW]
[ROW][C]45[/C][C]0.02217[/C][C]0.1881[/C][C]0.425655[/C][/ROW]
[ROW][C]46[/C][C]-0.04009[/C][C]-0.3402[/C][C]0.367356[/C][/ROW]
[ROW][C]47[/C][C]-0.111229[/C][C]-0.9438[/C][C]0.174211[/C][/ROW]
[ROW][C]48[/C][C]-0.06322[/C][C]-0.5364[/C][C]0.296655[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106914&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106914&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	0.140289	1.1904	0.118902
2	-0.298514	-2.533	0.006745
3	0.295909	2.5109	0.007145
4	-0.224346	-1.9036	0.030477
5	0.217541	1.8459	0.034509
6	0.029594	0.2511	0.401222
7	0.00263	0.0223	0.491128
8	0.237534	2.0155	0.02379
9	-0.068014	-0.5771	0.282831
10	-0.205634	-1.7449	0.042638
11	0.313915	2.6637	0.004766
12	0.479743	4.0708	5.9e-05
13	-0.146859	-1.2461	0.108376
14	-0.123656	-1.0493	0.148784
15	-0.176841	-1.5005	0.068923
16	0.065916	0.5593	0.28884
17	-0.069209	-0.5873	0.279434
18	-0.178375	-1.5136	0.067258
19	-0.087082	-0.7389	0.231179
20	-0.269341	-2.2854	0.012617
21	-0.001466	-0.0124	0.495056
22	0.015101	0.1281	0.449199
23	-0.048169	-0.4087	0.341977
24	0.132707	1.1261	0.13194
25	0.084098	0.7136	0.238892
26	0.058788	0.4988	0.30971
27	0.009657	0.0819	0.467461
28	-0.054049	-0.4586	0.323944
29	0.007488	0.0635	0.474757
30	0.026732	0.2268	0.4106
31	-0.085812	-0.7281	0.234446
32	-0.105832	-0.898	0.186087
33	0.010712	0.0909	0.463914
34	-0.023426	-0.1988	0.421501
35	0.029184	0.2476	0.40256
36	-0.034569	-0.2933	0.385057
37	-0.12446	-1.0561	0.147231
38	0.051194	0.4344	0.332649
39	0.00948	0.0804	0.468056
40	0.068353	0.58	0.281863
41	-0.087943	-0.7462	0.228983
42	-0.009568	-0.0812	0.46776
43	0.08615	0.731	0.233574
44	0.096147	0.8158	0.208644
45	0.02217	0.1881	0.425655
46	-0.04009	-0.3402	0.367356
47	-0.111229	-0.9438	0.174211
48	-0.06322	-0.5364	0.296655

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; 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