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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 05 Dec 2011 14:34:03 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/05/t1323113660egs0gwk7407klaz.htm/, Retrieved Fri, 03 May 2024 06:01:12 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151209, Retrieved Fri, 03 May 2024 06:01:12 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

124

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]
- R PD          [(Partial) Autocorrelation Function] [WS9 3.1 ACF d=0, D=0] [2010-12-07 10:00:49] [afe9379cca749d06b3d6872e02cc47ed]
- R  D            [(Partial) Autocorrelation Function] [ws9-2] [2011-12-05 18:26:48] [f7a862281046b7153543b12c78921b36]
-   P               [(Partial) Autocorrelation Function] [ws9-3] [2011-12-05 18:35:17] [f7a862281046b7153543b12c78921b36]
-   P                 [(Partial) Autocorrelation Function] [ws9-4] [2011-12-05 18:43:50] [f7a862281046b7153543b12c78921b36]
-   P                   [(Partial) Autocorrelation Function] [ws9-4] [2011-12-05 18:46:25] [f7a862281046b7153543b12c78921b36]
-   P                       [(Partial) Autocorrelation Function] [ws9-4] [2011-12-05 19:34:03] [47995d3a8fac585eeb070a274b466f8c] [Current]
-                             [(Partial) Autocorrelation Function] [ws9-4] [2011-12-05 19:35:13] [f7a862281046b7153543b12c78921b36] 
-  MP                           [(Partial) Autocorrelation Function] [paper2-3] [2011-12-21 20:49:59] [f7a862281046b7153543b12c78921b36] 

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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	1 seconds
R Server	'AstonUniversity' @ aston.wessa.net

\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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151209&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151209&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151209&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	'AstonUniversity' @ aston.wessa.net

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.068161	-0.409	0.342493
2	-0.030368	-0.1822	0.428221
3	-0.158452	-0.9507	0.174045
4	-0.203891	-1.2233	0.114573
5	-0.002982	-0.0179	0.492911
6	0.051081	0.3065	0.380501
7	-0.045251	-0.2715	0.393775
8	-0.025716	-0.1543	0.43912
9	0.130823	0.7849	0.218813
10	0.130552	0.7833	0.219284
11	-0.144243	-0.8655	0.196259
12	-0.269821	-1.6189	0.057096
13	-0.203179	-1.2191	0.115372
14	-0.044211	-0.2653	0.396159
15	0.187625	1.1257	0.13386
16	0.238602	1.4316	0.08044
17	-0.027084	-0.1625	0.435908
18	0.058908	0.3534	0.362907
19	0.060748	0.3645	0.358813
20	-0.08596	-0.5158	0.304587
21	0.038847	0.2331	0.40851
22	-0.109066	-0.6544	0.258508
23	0.028401	0.1704	0.432822
24	0.031571	0.1894	0.425412
25	0.133403	0.8004	0.21436
26	-0.009589	-0.0575	0.477218
27	-0.009915	-0.0595	0.476446
28	-0.114599	-0.6876	0.248057
29	-0.093619	-0.5617	0.288895
30	0.034839	0.209	0.4178
31	-0.052649	-0.3159	0.376954
32	0.06681	0.4009	0.345447
33	0.027922	0.1675	0.433944
34	-0.021558	-0.1293	0.448902
35	0.000186	0.0011	0.499558
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.068161 & -0.409 & 0.342493 \tabularnewline
2 & -0.030368 & -0.1822 & 0.428221 \tabularnewline
3 & -0.158452 & -0.9507 & 0.174045 \tabularnewline
4 & -0.203891 & -1.2233 & 0.114573 \tabularnewline
5 & -0.002982 & -0.0179 & 0.492911 \tabularnewline
6 & 0.051081 & 0.3065 & 0.380501 \tabularnewline
7 & -0.045251 & -0.2715 & 0.393775 \tabularnewline
8 & -0.025716 & -0.1543 & 0.43912 \tabularnewline
9 & 0.130823 & 0.7849 & 0.218813 \tabularnewline
10 & 0.130552 & 0.7833 & 0.219284 \tabularnewline
11 & -0.144243 & -0.8655 & 0.196259 \tabularnewline
12 & -0.269821 & -1.6189 & 0.057096 \tabularnewline
13 & -0.203179 & -1.2191 & 0.115372 \tabularnewline
14 & -0.044211 & -0.2653 & 0.396159 \tabularnewline
15 & 0.187625 & 1.1257 & 0.13386 \tabularnewline
16 & 0.238602 & 1.4316 & 0.08044 \tabularnewline
17 & -0.027084 & -0.1625 & 0.435908 \tabularnewline
18 & 0.058908 & 0.3534 & 0.362907 \tabularnewline
19 & 0.060748 & 0.3645 & 0.358813 \tabularnewline
20 & -0.08596 & -0.5158 & 0.304587 \tabularnewline
21 & 0.038847 & 0.2331 & 0.40851 \tabularnewline
22 & -0.109066 & -0.6544 & 0.258508 \tabularnewline
23 & 0.028401 & 0.1704 & 0.432822 \tabularnewline
24 & 0.031571 & 0.1894 & 0.425412 \tabularnewline
25 & 0.133403 & 0.8004 & 0.21436 \tabularnewline
26 & -0.009589 & -0.0575 & 0.477218 \tabularnewline
27 & -0.009915 & -0.0595 & 0.476446 \tabularnewline
28 & -0.114599 & -0.6876 & 0.248057 \tabularnewline
29 & -0.093619 & -0.5617 & 0.288895 \tabularnewline
30 & 0.034839 & 0.209 & 0.4178 \tabularnewline
31 & -0.052649 & -0.3159 & 0.376954 \tabularnewline
32 & 0.06681 & 0.4009 & 0.345447 \tabularnewline
33 & 0.027922 & 0.1675 & 0.433944 \tabularnewline
34 & -0.021558 & -0.1293 & 0.448902 \tabularnewline
35 & 0.000186 & 0.0011 & 0.499558 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151209&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]-0.068161[/C][C]-0.409[/C][C]0.342493[/C][/ROW]
[ROW][C]2[/C][C]-0.030368[/C][C]-0.1822[/C][C]0.428221[/C][/ROW]
[ROW][C]3[/C][C]-0.158452[/C][C]-0.9507[/C][C]0.174045[/C][/ROW]
[ROW][C]4[/C][C]-0.203891[/C][C]-1.2233[/C][C]0.114573[/C][/ROW]
[ROW][C]5[/C][C]-0.002982[/C][C]-0.0179[/C][C]0.492911[/C][/ROW]
[ROW][C]6[/C][C]0.051081[/C][C]0.3065[/C][C]0.380501[/C][/ROW]
[ROW][C]7[/C][C]-0.045251[/C][C]-0.2715[/C][C]0.393775[/C][/ROW]
[ROW][C]8[/C][C]-0.025716[/C][C]-0.1543[/C][C]0.43912[/C][/ROW]
[ROW][C]9[/C][C]0.130823[/C][C]0.7849[/C][C]0.218813[/C][/ROW]
[ROW][C]10[/C][C]0.130552[/C][C]0.7833[/C][C]0.219284[/C][/ROW]
[ROW][C]11[/C][C]-0.144243[/C][C]-0.8655[/C][C]0.196259[/C][/ROW]
[ROW][C]12[/C][C]-0.269821[/C][C]-1.6189[/C][C]0.057096[/C][/ROW]
[ROW][C]13[/C][C]-0.203179[/C][C]-1.2191[/C][C]0.115372[/C][/ROW]
[ROW][C]14[/C][C]-0.044211[/C][C]-0.2653[/C][C]0.396159[/C][/ROW]
[ROW][C]15[/C][C]0.187625[/C][C]1.1257[/C][C]0.13386[/C][/ROW]
[ROW][C]16[/C][C]0.238602[/C][C]1.4316[/C][C]0.08044[/C][/ROW]
[ROW][C]17[/C][C]-0.027084[/C][C]-0.1625[/C][C]0.435908[/C][/ROW]
[ROW][C]18[/C][C]0.058908[/C][C]0.3534[/C][C]0.362907[/C][/ROW]
[ROW][C]19[/C][C]0.060748[/C][C]0.3645[/C][C]0.358813[/C][/ROW]
[ROW][C]20[/C][C]-0.08596[/C][C]-0.5158[/C][C]0.304587[/C][/ROW]
[ROW][C]21[/C][C]0.038847[/C][C]0.2331[/C][C]0.40851[/C][/ROW]
[ROW][C]22[/C][C]-0.109066[/C][C]-0.6544[/C][C]0.258508[/C][/ROW]
[ROW][C]23[/C][C]0.028401[/C][C]0.1704[/C][C]0.432822[/C][/ROW]
[ROW][C]24[/C][C]0.031571[/C][C]0.1894[/C][C]0.425412[/C][/ROW]
[ROW][C]25[/C][C]0.133403[/C][C]0.8004[/C][C]0.21436[/C][/ROW]
[ROW][C]26[/C][C]-0.009589[/C][C]-0.0575[/C][C]0.477218[/C][/ROW]
[ROW][C]27[/C][C]-0.009915[/C][C]-0.0595[/C][C]0.476446[/C][/ROW]
[ROW][C]28[/C][C]-0.114599[/C][C]-0.6876[/C][C]0.248057[/C][/ROW]
[ROW][C]29[/C][C]-0.093619[/C][C]-0.5617[/C][C]0.288895[/C][/ROW]
[ROW][C]30[/C][C]0.034839[/C][C]0.209[/C][C]0.4178[/C][/ROW]
[ROW][C]31[/C][C]-0.052649[/C][C]-0.3159[/C][C]0.376954[/C][/ROW]
[ROW][C]32[/C][C]0.06681[/C][C]0.4009[/C][C]0.345447[/C][/ROW]
[ROW][C]33[/C][C]0.027922[/C][C]0.1675[/C][C]0.433944[/C][/ROW]
[ROW][C]34[/C][C]-0.021558[/C][C]-0.1293[/C][C]0.448902[/C][/ROW]
[ROW][C]35[/C][C]0.000186[/C][C]0.0011[/C][C]0.499558[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151209&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151209&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	-0.068161	-0.409	0.342493
2	-0.030368	-0.1822	0.428221
3	-0.158452	-0.9507	0.174045
4	-0.203891	-1.2233	0.114573
5	-0.002982	-0.0179	0.492911
6	0.051081	0.3065	0.380501
7	-0.045251	-0.2715	0.393775
8	-0.025716	-0.1543	0.43912
9	0.130823	0.7849	0.218813
10	0.130552	0.7833	0.219284
11	-0.144243	-0.8655	0.196259
12	-0.269821	-1.6189	0.057096
13	-0.203179	-1.2191	0.115372
14	-0.044211	-0.2653	0.396159
15	0.187625	1.1257	0.13386
16	0.238602	1.4316	0.08044
17	-0.027084	-0.1625	0.435908
18	0.058908	0.3534	0.362907
19	0.060748	0.3645	0.358813
20	-0.08596	-0.5158	0.304587
21	0.038847	0.2331	0.40851
22	-0.109066	-0.6544	0.258508
23	0.028401	0.1704	0.432822
24	0.031571	0.1894	0.425412
25	0.133403	0.8004	0.21436
26	-0.009589	-0.0575	0.477218
27	-0.009915	-0.0595	0.476446
28	-0.114599	-0.6876	0.248057
29	-0.093619	-0.5617	0.288895
30	0.034839	0.209	0.4178
31	-0.052649	-0.3159	0.376954
32	0.06681	0.4009	0.345447
33	0.027922	0.1675	0.433944
34	-0.021558	-0.1293	0.448902
35	0.000186	0.0011	0.499558
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.068161	-0.409	0.342493
2	-0.035177	-0.2111	0.417014
3	-0.163956	-0.9837	0.165905
4	-0.236284	-1.4177	0.082438
5	-0.06266	-0.376	0.354577
6	-0.004936	-0.0296	0.488268
7	-0.129414	-0.7765	0.221268
8	-0.11611	-0.6967	0.245245
9	0.10986	0.6592	0.256995
10	0.151916	0.9115	0.184049
11	-0.181018	-1.0861	0.142325
12	-0.342963	-2.0578	0.023454
13	-0.243565	-1.4614	0.076291
14	-0.158498	-0.951	0.173975
15	-0.090179	-0.5411	0.295894
16	0.018123	0.1087	0.457008
17	-0.110035	-0.6602	0.256661
18	0.010146	0.0609	0.475898
19	0.093952	0.5637	0.288223
20	-0.078467	-0.4708	0.320311
21	0.055394	0.3324	0.37077
22	0.02648	0.1589	0.437325
23	0.080377	0.4823	0.31627
24	-0.118684	-0.7121	0.240494
25	-0.099241	-0.5954	0.277636
26	-0.08343	-0.5006	0.309856
27	0.094986	0.5699	0.286137
28	-0.005445	-0.0327	0.48706
29	-0.051146	-0.3069	0.380352
30	0.138316	0.8299	0.206034
31	0.026697	0.1602	0.436816
32	0.070385	0.4223	0.337656
33	0.060241	0.3614	0.35994
34	-0.026083	-0.1565	0.438257
35	-0.035572	-0.2134	0.416096
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.068161 & -0.409 & 0.342493 \tabularnewline
2 & -0.035177 & -0.2111 & 0.417014 \tabularnewline
3 & -0.163956 & -0.9837 & 0.165905 \tabularnewline
4 & -0.236284 & -1.4177 & 0.082438 \tabularnewline
5 & -0.06266 & -0.376 & 0.354577 \tabularnewline
6 & -0.004936 & -0.0296 & 0.488268 \tabularnewline
7 & -0.129414 & -0.7765 & 0.221268 \tabularnewline
8 & -0.11611 & -0.6967 & 0.245245 \tabularnewline
9 & 0.10986 & 0.6592 & 0.256995 \tabularnewline
10 & 0.151916 & 0.9115 & 0.184049 \tabularnewline
11 & -0.181018 & -1.0861 & 0.142325 \tabularnewline
12 & -0.342963 & -2.0578 & 0.023454 \tabularnewline
13 & -0.243565 & -1.4614 & 0.076291 \tabularnewline
14 & -0.158498 & -0.951 & 0.173975 \tabularnewline
15 & -0.090179 & -0.5411 & 0.295894 \tabularnewline
16 & 0.018123 & 0.1087 & 0.457008 \tabularnewline
17 & -0.110035 & -0.6602 & 0.256661 \tabularnewline
18 & 0.010146 & 0.0609 & 0.475898 \tabularnewline
19 & 0.093952 & 0.5637 & 0.288223 \tabularnewline
20 & -0.078467 & -0.4708 & 0.320311 \tabularnewline
21 & 0.055394 & 0.3324 & 0.37077 \tabularnewline
22 & 0.02648 & 0.1589 & 0.437325 \tabularnewline
23 & 0.080377 & 0.4823 & 0.31627 \tabularnewline
24 & -0.118684 & -0.7121 & 0.240494 \tabularnewline
25 & -0.099241 & -0.5954 & 0.277636 \tabularnewline
26 & -0.08343 & -0.5006 & 0.309856 \tabularnewline
27 & 0.094986 & 0.5699 & 0.286137 \tabularnewline
28 & -0.005445 & -0.0327 & 0.48706 \tabularnewline
29 & -0.051146 & -0.3069 & 0.380352 \tabularnewline
30 & 0.138316 & 0.8299 & 0.206034 \tabularnewline
31 & 0.026697 & 0.1602 & 0.436816 \tabularnewline
32 & 0.070385 & 0.4223 & 0.337656 \tabularnewline
33 & 0.060241 & 0.3614 & 0.35994 \tabularnewline
34 & -0.026083 & -0.1565 & 0.438257 \tabularnewline
35 & -0.035572 & -0.2134 & 0.416096 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151209&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]-0.068161[/C][C]-0.409[/C][C]0.342493[/C][/ROW]
[ROW][C]2[/C][C]-0.035177[/C][C]-0.2111[/C][C]0.417014[/C][/ROW]
[ROW][C]3[/C][C]-0.163956[/C][C]-0.9837[/C][C]0.165905[/C][/ROW]
[ROW][C]4[/C][C]-0.236284[/C][C]-1.4177[/C][C]0.082438[/C][/ROW]
[ROW][C]5[/C][C]-0.06266[/C][C]-0.376[/C][C]0.354577[/C][/ROW]
[ROW][C]6[/C][C]-0.004936[/C][C]-0.0296[/C][C]0.488268[/C][/ROW]
[ROW][C]7[/C][C]-0.129414[/C][C]-0.7765[/C][C]0.221268[/C][/ROW]
[ROW][C]8[/C][C]-0.11611[/C][C]-0.6967[/C][C]0.245245[/C][/ROW]
[ROW][C]9[/C][C]0.10986[/C][C]0.6592[/C][C]0.256995[/C][/ROW]
[ROW][C]10[/C][C]0.151916[/C][C]0.9115[/C][C]0.184049[/C][/ROW]
[ROW][C]11[/C][C]-0.181018[/C][C]-1.0861[/C][C]0.142325[/C][/ROW]
[ROW][C]12[/C][C]-0.342963[/C][C]-2.0578[/C][C]0.023454[/C][/ROW]
[ROW][C]13[/C][C]-0.243565[/C][C]-1.4614[/C][C]0.076291[/C][/ROW]
[ROW][C]14[/C][C]-0.158498[/C][C]-0.951[/C][C]0.173975[/C][/ROW]
[ROW][C]15[/C][C]-0.090179[/C][C]-0.5411[/C][C]0.295894[/C][/ROW]
[ROW][C]16[/C][C]0.018123[/C][C]0.1087[/C][C]0.457008[/C][/ROW]
[ROW][C]17[/C][C]-0.110035[/C][C]-0.6602[/C][C]0.256661[/C][/ROW]
[ROW][C]18[/C][C]0.010146[/C][C]0.0609[/C][C]0.475898[/C][/ROW]
[ROW][C]19[/C][C]0.093952[/C][C]0.5637[/C][C]0.288223[/C][/ROW]
[ROW][C]20[/C][C]-0.078467[/C][C]-0.4708[/C][C]0.320311[/C][/ROW]
[ROW][C]21[/C][C]0.055394[/C][C]0.3324[/C][C]0.37077[/C][/ROW]
[ROW][C]22[/C][C]0.02648[/C][C]0.1589[/C][C]0.437325[/C][/ROW]
[ROW][C]23[/C][C]0.080377[/C][C]0.4823[/C][C]0.31627[/C][/ROW]
[ROW][C]24[/C][C]-0.118684[/C][C]-0.7121[/C][C]0.240494[/C][/ROW]
[ROW][C]25[/C][C]-0.099241[/C][C]-0.5954[/C][C]0.277636[/C][/ROW]
[ROW][C]26[/C][C]-0.08343[/C][C]-0.5006[/C][C]0.309856[/C][/ROW]
[ROW][C]27[/C][C]0.094986[/C][C]0.5699[/C][C]0.286137[/C][/ROW]
[ROW][C]28[/C][C]-0.005445[/C][C]-0.0327[/C][C]0.48706[/C][/ROW]
[ROW][C]29[/C][C]-0.051146[/C][C]-0.3069[/C][C]0.380352[/C][/ROW]
[ROW][C]30[/C][C]0.138316[/C][C]0.8299[/C][C]0.206034[/C][/ROW]
[ROW][C]31[/C][C]0.026697[/C][C]0.1602[/C][C]0.436816[/C][/ROW]
[ROW][C]32[/C][C]0.070385[/C][C]0.4223[/C][C]0.337656[/C][/ROW]
[ROW][C]33[/C][C]0.060241[/C][C]0.3614[/C][C]0.35994[/C][/ROW]
[ROW][C]34[/C][C]-0.026083[/C][C]-0.1565[/C][C]0.438257[/C][/ROW]
[ROW][C]35[/C][C]-0.035572[/C][C]-0.2134[/C][C]0.416096[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151209&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151209&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	-0.068161	-0.409	0.342493
2	-0.035177	-0.2111	0.417014
3	-0.163956	-0.9837	0.165905
4	-0.236284	-1.4177	0.082438
5	-0.06266	-0.376	0.354577
6	-0.004936	-0.0296	0.488268
7	-0.129414	-0.7765	0.221268
8	-0.11611	-0.6967	0.245245
9	0.10986	0.6592	0.256995
10	0.151916	0.9115	0.184049
11	-0.181018	-1.0861	0.142325
12	-0.342963	-2.0578	0.023454
13	-0.243565	-1.4614	0.076291
14	-0.158498	-0.951	0.173975
15	-0.090179	-0.5411	0.295894
16	0.018123	0.1087	0.457008
17	-0.110035	-0.6602	0.256661
18	0.010146	0.0609	0.475898
19	0.093952	0.5637	0.288223
20	-0.078467	-0.4708	0.320311
21	0.055394	0.3324	0.37077
22	0.02648	0.1589	0.437325
23	0.080377	0.4823	0.31627
24	-0.118684	-0.7121	0.240494
25	-0.099241	-0.5954	0.277636
26	-0.08343	-0.5006	0.309856
27	0.094986	0.5699	0.286137
28	-0.005445	-0.0327	0.48706
29	-0.051146	-0.3069	0.380352
30	0.138316	0.8299	0.206034
31	0.026697	0.1602	0.436816
32	0.070385	0.4223	0.337656
33	0.060241	0.3614	0.35994
34	-0.026083	-0.1565	0.438257
35	-0.035572	-0.2134	0.416096
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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