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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 08 Dec 2008 13:50:31 -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/08/t12287694695006wrgzbe2014s.htm/, Retrieved Thu, 16 May 2024 23:12:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31001, Retrieved Thu, 16 May 2024 23:12:43 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

157

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [Spectral Analysis] [spectraan analyse] [2008-12-08 20:33:10] [005293453b571dbccb80b45226e44173]
-   P     [Spectral Analysis] [spectraan analyse] [2008-12-08 20:38:36] [005293453b571dbccb80b45226e44173]
- RMP       [Standard Deviation-Mean Plot] [standard deviatio...] [2008-12-08 20:43:37] [005293453b571dbccb80b45226e44173]
- RMP           [(Partial) Autocorrelation Function] [autocorrelation s...] [2008-12-08 20:50:31] [b0654df83a8a0e1de3ceb7bf60f0d58f] [Current]
- RMP             [ARIMA Backward Selection] [arima backward se...] [2008-12-08 20:57:11] [005293453b571dbccb80b45226e44173] 

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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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31001&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31001&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31001&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	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.096503	-0.6616	0.255732
2	0.0197	0.1351	0.446572
3	0.200989	1.3779	0.087378
4	0.085621	0.587	0.280011
5	-0.053357	-0.3658	0.358079
6	0.090025	0.6172	0.270047
7	-0.024438	-0.1675	0.433833
8	0.10113	0.6933	0.245763
9	-0.074102	-0.508	0.306909
10	-0.120641	-0.8271	0.206188
11	0.225632	1.5469	0.064303
12	-0.228569	-1.567	0.061913
13	-0.179478	-1.2304	0.112328
14	0.115013	0.7885	0.217184
15	-0.091179	-0.6251	0.267466
16	-0.169356	-1.161	0.125743
17	0.012979	0.089	0.464738
18	-0.013391	-0.0918	0.463622
19	0.032396	0.2221	0.4126
20	0.010007	0.0686	0.472797
21	-0.014767	-0.1012	0.459895
22	0.04657	0.3193	0.375469
23	0.028615	0.1962	0.42266
24	-0.09622	-0.6597	0.256349
25	0.017388	0.1192	0.45281
26	-0.028143	-0.1929	0.42392
27	-0.030881	-0.2117	0.416625
28	-0.025579	-0.1754	0.430775
29	0.102243	0.7009	0.243396
30	-0.082853	-0.568	0.286365
31	-0.004882	-0.0335	0.48672
32	-0.020356	-0.1396	0.444804
33	0.009025	0.0619	0.475464
34	-0.097066	-0.6655	0.254507
35	-0.041436	-0.2841	0.388802
36	-0.0412	-0.2825	0.389419
37	0.007095	0.0486	0.480706
38	0.002241	0.0154	0.493904
39	-0.017751	-0.1217	0.45183
40	0.030661	0.2102	0.41721
41	-0.064913	-0.445	0.329174
42	-0.026195	-0.1796	0.429125
43	0.04186	0.287	0.387695
44	-0.028836	-0.1977	0.422071
45	-0.015714	-0.1077	0.457335
46	0.008615	0.0591	0.476576
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.096503 & -0.6616 & 0.255732 \tabularnewline
2 & 0.0197 & 0.1351 & 0.446572 \tabularnewline
3 & 0.200989 & 1.3779 & 0.087378 \tabularnewline
4 & 0.085621 & 0.587 & 0.280011 \tabularnewline
5 & -0.053357 & -0.3658 & 0.358079 \tabularnewline
6 & 0.090025 & 0.6172 & 0.270047 \tabularnewline
7 & -0.024438 & -0.1675 & 0.433833 \tabularnewline
8 & 0.10113 & 0.6933 & 0.245763 \tabularnewline
9 & -0.074102 & -0.508 & 0.306909 \tabularnewline
10 & -0.120641 & -0.8271 & 0.206188 \tabularnewline
11 & 0.225632 & 1.5469 & 0.064303 \tabularnewline
12 & -0.228569 & -1.567 & 0.061913 \tabularnewline
13 & -0.179478 & -1.2304 & 0.112328 \tabularnewline
14 & 0.115013 & 0.7885 & 0.217184 \tabularnewline
15 & -0.091179 & -0.6251 & 0.267466 \tabularnewline
16 & -0.169356 & -1.161 & 0.125743 \tabularnewline
17 & 0.012979 & 0.089 & 0.464738 \tabularnewline
18 & -0.013391 & -0.0918 & 0.463622 \tabularnewline
19 & 0.032396 & 0.2221 & 0.4126 \tabularnewline
20 & 0.010007 & 0.0686 & 0.472797 \tabularnewline
21 & -0.014767 & -0.1012 & 0.459895 \tabularnewline
22 & 0.04657 & 0.3193 & 0.375469 \tabularnewline
23 & 0.028615 & 0.1962 & 0.42266 \tabularnewline
24 & -0.09622 & -0.6597 & 0.256349 \tabularnewline
25 & 0.017388 & 0.1192 & 0.45281 \tabularnewline
26 & -0.028143 & -0.1929 & 0.42392 \tabularnewline
27 & -0.030881 & -0.2117 & 0.416625 \tabularnewline
28 & -0.025579 & -0.1754 & 0.430775 \tabularnewline
29 & 0.102243 & 0.7009 & 0.243396 \tabularnewline
30 & -0.082853 & -0.568 & 0.286365 \tabularnewline
31 & -0.004882 & -0.0335 & 0.48672 \tabularnewline
32 & -0.020356 & -0.1396 & 0.444804 \tabularnewline
33 & 0.009025 & 0.0619 & 0.475464 \tabularnewline
34 & -0.097066 & -0.6655 & 0.254507 \tabularnewline
35 & -0.041436 & -0.2841 & 0.388802 \tabularnewline
36 & -0.0412 & -0.2825 & 0.389419 \tabularnewline
37 & 0.007095 & 0.0486 & 0.480706 \tabularnewline
38 & 0.002241 & 0.0154 & 0.493904 \tabularnewline
39 & -0.017751 & -0.1217 & 0.45183 \tabularnewline
40 & 0.030661 & 0.2102 & 0.41721 \tabularnewline
41 & -0.064913 & -0.445 & 0.329174 \tabularnewline
42 & -0.026195 & -0.1796 & 0.429125 \tabularnewline
43 & 0.04186 & 0.287 & 0.387695 \tabularnewline
44 & -0.028836 & -0.1977 & 0.422071 \tabularnewline
45 & -0.015714 & -0.1077 & 0.457335 \tabularnewline
46 & 0.008615 & 0.0591 & 0.476576 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31001&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]-0.096503[/C][C]-0.6616[/C][C]0.255732[/C][/ROW]
[ROW][C]2[/C][C]0.0197[/C][C]0.1351[/C][C]0.446572[/C][/ROW]
[ROW][C]3[/C][C]0.200989[/C][C]1.3779[/C][C]0.087378[/C][/ROW]
[ROW][C]4[/C][C]0.085621[/C][C]0.587[/C][C]0.280011[/C][/ROW]
[ROW][C]5[/C][C]-0.053357[/C][C]-0.3658[/C][C]0.358079[/C][/ROW]
[ROW][C]6[/C][C]0.090025[/C][C]0.6172[/C][C]0.270047[/C][/ROW]
[ROW][C]7[/C][C]-0.024438[/C][C]-0.1675[/C][C]0.433833[/C][/ROW]
[ROW][C]8[/C][C]0.10113[/C][C]0.6933[/C][C]0.245763[/C][/ROW]
[ROW][C]9[/C][C]-0.074102[/C][C]-0.508[/C][C]0.306909[/C][/ROW]
[ROW][C]10[/C][C]-0.120641[/C][C]-0.8271[/C][C]0.206188[/C][/ROW]
[ROW][C]11[/C][C]0.225632[/C][C]1.5469[/C][C]0.064303[/C][/ROW]
[ROW][C]12[/C][C]-0.228569[/C][C]-1.567[/C][C]0.061913[/C][/ROW]
[ROW][C]13[/C][C]-0.179478[/C][C]-1.2304[/C][C]0.112328[/C][/ROW]
[ROW][C]14[/C][C]0.115013[/C][C]0.7885[/C][C]0.217184[/C][/ROW]
[ROW][C]15[/C][C]-0.091179[/C][C]-0.6251[/C][C]0.267466[/C][/ROW]
[ROW][C]16[/C][C]-0.169356[/C][C]-1.161[/C][C]0.125743[/C][/ROW]
[ROW][C]17[/C][C]0.012979[/C][C]0.089[/C][C]0.464738[/C][/ROW]
[ROW][C]18[/C][C]-0.013391[/C][C]-0.0918[/C][C]0.463622[/C][/ROW]
[ROW][C]19[/C][C]0.032396[/C][C]0.2221[/C][C]0.4126[/C][/ROW]
[ROW][C]20[/C][C]0.010007[/C][C]0.0686[/C][C]0.472797[/C][/ROW]
[ROW][C]21[/C][C]-0.014767[/C][C]-0.1012[/C][C]0.459895[/C][/ROW]
[ROW][C]22[/C][C]0.04657[/C][C]0.3193[/C][C]0.375469[/C][/ROW]
[ROW][C]23[/C][C]0.028615[/C][C]0.1962[/C][C]0.42266[/C][/ROW]
[ROW][C]24[/C][C]-0.09622[/C][C]-0.6597[/C][C]0.256349[/C][/ROW]
[ROW][C]25[/C][C]0.017388[/C][C]0.1192[/C][C]0.45281[/C][/ROW]
[ROW][C]26[/C][C]-0.028143[/C][C]-0.1929[/C][C]0.42392[/C][/ROW]
[ROW][C]27[/C][C]-0.030881[/C][C]-0.2117[/C][C]0.416625[/C][/ROW]
[ROW][C]28[/C][C]-0.025579[/C][C]-0.1754[/C][C]0.430775[/C][/ROW]
[ROW][C]29[/C][C]0.102243[/C][C]0.7009[/C][C]0.243396[/C][/ROW]
[ROW][C]30[/C][C]-0.082853[/C][C]-0.568[/C][C]0.286365[/C][/ROW]
[ROW][C]31[/C][C]-0.004882[/C][C]-0.0335[/C][C]0.48672[/C][/ROW]
[ROW][C]32[/C][C]-0.020356[/C][C]-0.1396[/C][C]0.444804[/C][/ROW]
[ROW][C]33[/C][C]0.009025[/C][C]0.0619[/C][C]0.475464[/C][/ROW]
[ROW][C]34[/C][C]-0.097066[/C][C]-0.6655[/C][C]0.254507[/C][/ROW]
[ROW][C]35[/C][C]-0.041436[/C][C]-0.2841[/C][C]0.388802[/C][/ROW]
[ROW][C]36[/C][C]-0.0412[/C][C]-0.2825[/C][C]0.389419[/C][/ROW]
[ROW][C]37[/C][C]0.007095[/C][C]0.0486[/C][C]0.480706[/C][/ROW]
[ROW][C]38[/C][C]0.002241[/C][C]0.0154[/C][C]0.493904[/C][/ROW]
[ROW][C]39[/C][C]-0.017751[/C][C]-0.1217[/C][C]0.45183[/C][/ROW]
[ROW][C]40[/C][C]0.030661[/C][C]0.2102[/C][C]0.41721[/C][/ROW]
[ROW][C]41[/C][C]-0.064913[/C][C]-0.445[/C][C]0.329174[/C][/ROW]
[ROW][C]42[/C][C]-0.026195[/C][C]-0.1796[/C][C]0.429125[/C][/ROW]
[ROW][C]43[/C][C]0.04186[/C][C]0.287[/C][C]0.387695[/C][/ROW]
[ROW][C]44[/C][C]-0.028836[/C][C]-0.1977[/C][C]0.422071[/C][/ROW]
[ROW][C]45[/C][C]-0.015714[/C][C]-0.1077[/C][C]0.457335[/C][/ROW]
[ROW][C]46[/C][C]0.008615[/C][C]0.0591[/C][C]0.476576[/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]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31001&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31001&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	-0.096503	-0.6616	0.255732
2	0.0197	0.1351	0.446572
3	0.200989	1.3779	0.087378
4	0.085621	0.587	0.280011
5	-0.053357	-0.3658	0.358079
6	0.090025	0.6172	0.270047
7	-0.024438	-0.1675	0.433833
8	0.10113	0.6933	0.245763
9	-0.074102	-0.508	0.306909
10	-0.120641	-0.8271	0.206188
11	0.225632	1.5469	0.064303
12	-0.228569	-1.567	0.061913
13	-0.179478	-1.2304	0.112328
14	0.115013	0.7885	0.217184
15	-0.091179	-0.6251	0.267466
16	-0.169356	-1.161	0.125743
17	0.012979	0.089	0.464738
18	-0.013391	-0.0918	0.463622
19	0.032396	0.2221	0.4126
20	0.010007	0.0686	0.472797
21	-0.014767	-0.1012	0.459895
22	0.04657	0.3193	0.375469
23	0.028615	0.1962	0.42266
24	-0.09622	-0.6597	0.256349
25	0.017388	0.1192	0.45281
26	-0.028143	-0.1929	0.42392
27	-0.030881	-0.2117	0.416625
28	-0.025579	-0.1754	0.430775
29	0.102243	0.7009	0.243396
30	-0.082853	-0.568	0.286365
31	-0.004882	-0.0335	0.48672
32	-0.020356	-0.1396	0.444804
33	0.009025	0.0619	0.475464
34	-0.097066	-0.6655	0.254507
35	-0.041436	-0.2841	0.388802
36	-0.0412	-0.2825	0.389419
37	0.007095	0.0486	0.480706
38	0.002241	0.0154	0.493904
39	-0.017751	-0.1217	0.45183
40	0.030661	0.2102	0.41721
41	-0.064913	-0.445	0.329174
42	-0.026195	-0.1796	0.429125
43	0.04186	0.287	0.387695
44	-0.028836	-0.1977	0.422071
45	-0.015714	-0.1077	0.457335
46	0.008615	0.0591	0.476576
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.096503	-0.6616	0.255732
2	0.010485	0.0719	0.471501
3	0.205821	1.411	0.082409
4	0.131261	0.8999	0.186387
5	-0.042461	-0.2911	0.386127
6	0.032117	0.2202	0.413342
7	-0.055508	-0.3805	0.352627
8	0.104918	0.7193	0.237764
9	-0.070179	-0.4811	0.31633
10	-0.155835	-1.0683	0.14541
11	0.192163	1.3174	0.097045
12	-0.204659	-1.4031	0.083584
13	-0.170219	-1.167	0.124556
14	0.040329	0.2765	0.391694
15	-0.038603	-0.2646	0.396218
16	-0.058591	-0.4017	0.344871
17	-0.047181	-0.3235	0.373892
18	0.051695	0.3544	0.362311
19	0.081981	0.562	0.288383
20	0.078608	0.5389	0.296246
21	0.045539	0.3122	0.378135
22	-0.095978	-0.658	0.256876
23	0.088379	0.6059	0.273749
24	-0.061607	-0.4224	0.337344
25	-0.16412	-1.1252	0.133119
26	-0.057215	-0.3922	0.348326
27	0.007478	0.0513	0.479665
28	-0.064479	-0.442	0.330242
29	0.087975	0.6031	0.274663
30	-0.050678	-0.3474	0.36491
31	-0.008088	-0.0554	0.478008
32	0.011075	0.0759	0.4699
33	0.043643	0.2992	0.383053
34	-0.124925	-0.8564	0.19805
35	-0.023725	-0.1626	0.435746
36	0.015485	0.1062	0.457954
37	-0.063327	-0.4341	0.333083
38	0.031054	0.2129	0.416163
39	0.026514	0.1818	0.428272
40	-0.068303	-0.4683	0.320881
41	-0.059092	-0.4051	0.343616
42	-0.0311	-0.2132	0.416041
43	0.002409	0.0165	0.493447
44	-0.018715	-0.1283	0.449229
45	0.090972	0.6237	0.267929
46	-0.062377	-0.4276	0.335436
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.096503 & -0.6616 & 0.255732 \tabularnewline
2 & 0.010485 & 0.0719 & 0.471501 \tabularnewline
3 & 0.205821 & 1.411 & 0.082409 \tabularnewline
4 & 0.131261 & 0.8999 & 0.186387 \tabularnewline
5 & -0.042461 & -0.2911 & 0.386127 \tabularnewline
6 & 0.032117 & 0.2202 & 0.413342 \tabularnewline
7 & -0.055508 & -0.3805 & 0.352627 \tabularnewline
8 & 0.104918 & 0.7193 & 0.237764 \tabularnewline
9 & -0.070179 & -0.4811 & 0.31633 \tabularnewline
10 & -0.155835 & -1.0683 & 0.14541 \tabularnewline
11 & 0.192163 & 1.3174 & 0.097045 \tabularnewline
12 & -0.204659 & -1.4031 & 0.083584 \tabularnewline
13 & -0.170219 & -1.167 & 0.124556 \tabularnewline
14 & 0.040329 & 0.2765 & 0.391694 \tabularnewline
15 & -0.038603 & -0.2646 & 0.396218 \tabularnewline
16 & -0.058591 & -0.4017 & 0.344871 \tabularnewline
17 & -0.047181 & -0.3235 & 0.373892 \tabularnewline
18 & 0.051695 & 0.3544 & 0.362311 \tabularnewline
19 & 0.081981 & 0.562 & 0.288383 \tabularnewline
20 & 0.078608 & 0.5389 & 0.296246 \tabularnewline
21 & 0.045539 & 0.3122 & 0.378135 \tabularnewline
22 & -0.095978 & -0.658 & 0.256876 \tabularnewline
23 & 0.088379 & 0.6059 & 0.273749 \tabularnewline
24 & -0.061607 & -0.4224 & 0.337344 \tabularnewline
25 & -0.16412 & -1.1252 & 0.133119 \tabularnewline
26 & -0.057215 & -0.3922 & 0.348326 \tabularnewline
27 & 0.007478 & 0.0513 & 0.479665 \tabularnewline
28 & -0.064479 & -0.442 & 0.330242 \tabularnewline
29 & 0.087975 & 0.6031 & 0.274663 \tabularnewline
30 & -0.050678 & -0.3474 & 0.36491 \tabularnewline
31 & -0.008088 & -0.0554 & 0.478008 \tabularnewline
32 & 0.011075 & 0.0759 & 0.4699 \tabularnewline
33 & 0.043643 & 0.2992 & 0.383053 \tabularnewline
34 & -0.124925 & -0.8564 & 0.19805 \tabularnewline
35 & -0.023725 & -0.1626 & 0.435746 \tabularnewline
36 & 0.015485 & 0.1062 & 0.457954 \tabularnewline
37 & -0.063327 & -0.4341 & 0.333083 \tabularnewline
38 & 0.031054 & 0.2129 & 0.416163 \tabularnewline
39 & 0.026514 & 0.1818 & 0.428272 \tabularnewline
40 & -0.068303 & -0.4683 & 0.320881 \tabularnewline
41 & -0.059092 & -0.4051 & 0.343616 \tabularnewline
42 & -0.0311 & -0.2132 & 0.416041 \tabularnewline
43 & 0.002409 & 0.0165 & 0.493447 \tabularnewline
44 & -0.018715 & -0.1283 & 0.449229 \tabularnewline
45 & 0.090972 & 0.6237 & 0.267929 \tabularnewline
46 & -0.062377 & -0.4276 & 0.335436 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31001&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]-0.096503[/C][C]-0.6616[/C][C]0.255732[/C][/ROW]
[ROW][C]2[/C][C]0.010485[/C][C]0.0719[/C][C]0.471501[/C][/ROW]
[ROW][C]3[/C][C]0.205821[/C][C]1.411[/C][C]0.082409[/C][/ROW]
[ROW][C]4[/C][C]0.131261[/C][C]0.8999[/C][C]0.186387[/C][/ROW]
[ROW][C]5[/C][C]-0.042461[/C][C]-0.2911[/C][C]0.386127[/C][/ROW]
[ROW][C]6[/C][C]0.032117[/C][C]0.2202[/C][C]0.413342[/C][/ROW]
[ROW][C]7[/C][C]-0.055508[/C][C]-0.3805[/C][C]0.352627[/C][/ROW]
[ROW][C]8[/C][C]0.104918[/C][C]0.7193[/C][C]0.237764[/C][/ROW]
[ROW][C]9[/C][C]-0.070179[/C][C]-0.4811[/C][C]0.31633[/C][/ROW]
[ROW][C]10[/C][C]-0.155835[/C][C]-1.0683[/C][C]0.14541[/C][/ROW]
[ROW][C]11[/C][C]0.192163[/C][C]1.3174[/C][C]0.097045[/C][/ROW]
[ROW][C]12[/C][C]-0.204659[/C][C]-1.4031[/C][C]0.083584[/C][/ROW]
[ROW][C]13[/C][C]-0.170219[/C][C]-1.167[/C][C]0.124556[/C][/ROW]
[ROW][C]14[/C][C]0.040329[/C][C]0.2765[/C][C]0.391694[/C][/ROW]
[ROW][C]15[/C][C]-0.038603[/C][C]-0.2646[/C][C]0.396218[/C][/ROW]
[ROW][C]16[/C][C]-0.058591[/C][C]-0.4017[/C][C]0.344871[/C][/ROW]
[ROW][C]17[/C][C]-0.047181[/C][C]-0.3235[/C][C]0.373892[/C][/ROW]
[ROW][C]18[/C][C]0.051695[/C][C]0.3544[/C][C]0.362311[/C][/ROW]
[ROW][C]19[/C][C]0.081981[/C][C]0.562[/C][C]0.288383[/C][/ROW]
[ROW][C]20[/C][C]0.078608[/C][C]0.5389[/C][C]0.296246[/C][/ROW]
[ROW][C]21[/C][C]0.045539[/C][C]0.3122[/C][C]0.378135[/C][/ROW]
[ROW][C]22[/C][C]-0.095978[/C][C]-0.658[/C][C]0.256876[/C][/ROW]
[ROW][C]23[/C][C]0.088379[/C][C]0.6059[/C][C]0.273749[/C][/ROW]
[ROW][C]24[/C][C]-0.061607[/C][C]-0.4224[/C][C]0.337344[/C][/ROW]
[ROW][C]25[/C][C]-0.16412[/C][C]-1.1252[/C][C]0.133119[/C][/ROW]
[ROW][C]26[/C][C]-0.057215[/C][C]-0.3922[/C][C]0.348326[/C][/ROW]
[ROW][C]27[/C][C]0.007478[/C][C]0.0513[/C][C]0.479665[/C][/ROW]
[ROW][C]28[/C][C]-0.064479[/C][C]-0.442[/C][C]0.330242[/C][/ROW]
[ROW][C]29[/C][C]0.087975[/C][C]0.6031[/C][C]0.274663[/C][/ROW]
[ROW][C]30[/C][C]-0.050678[/C][C]-0.3474[/C][C]0.36491[/C][/ROW]
[ROW][C]31[/C][C]-0.008088[/C][C]-0.0554[/C][C]0.478008[/C][/ROW]
[ROW][C]32[/C][C]0.011075[/C][C]0.0759[/C][C]0.4699[/C][/ROW]
[ROW][C]33[/C][C]0.043643[/C][C]0.2992[/C][C]0.383053[/C][/ROW]
[ROW][C]34[/C][C]-0.124925[/C][C]-0.8564[/C][C]0.19805[/C][/ROW]
[ROW][C]35[/C][C]-0.023725[/C][C]-0.1626[/C][C]0.435746[/C][/ROW]
[ROW][C]36[/C][C]0.015485[/C][C]0.1062[/C][C]0.457954[/C][/ROW]
[ROW][C]37[/C][C]-0.063327[/C][C]-0.4341[/C][C]0.333083[/C][/ROW]
[ROW][C]38[/C][C]0.031054[/C][C]0.2129[/C][C]0.416163[/C][/ROW]
[ROW][C]39[/C][C]0.026514[/C][C]0.1818[/C][C]0.428272[/C][/ROW]
[ROW][C]40[/C][C]-0.068303[/C][C]-0.4683[/C][C]0.320881[/C][/ROW]
[ROW][C]41[/C][C]-0.059092[/C][C]-0.4051[/C][C]0.343616[/C][/ROW]
[ROW][C]42[/C][C]-0.0311[/C][C]-0.2132[/C][C]0.416041[/C][/ROW]
[ROW][C]43[/C][C]0.002409[/C][C]0.0165[/C][C]0.493447[/C][/ROW]
[ROW][C]44[/C][C]-0.018715[/C][C]-0.1283[/C][C]0.449229[/C][/ROW]
[ROW][C]45[/C][C]0.090972[/C][C]0.6237[/C][C]0.267929[/C][/ROW]
[ROW][C]46[/C][C]-0.062377[/C][C]-0.4276[/C][C]0.335436[/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]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31001&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31001&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	-0.096503	-0.6616	0.255732
2	0.010485	0.0719	0.471501
3	0.205821	1.411	0.082409
4	0.131261	0.8999	0.186387
5	-0.042461	-0.2911	0.386127
6	0.032117	0.2202	0.413342
7	-0.055508	-0.3805	0.352627
8	0.104918	0.7193	0.237764
9	-0.070179	-0.4811	0.31633
10	-0.155835	-1.0683	0.14541
11	0.192163	1.3174	0.097045
12	-0.204659	-1.4031	0.083584
13	-0.170219	-1.167	0.124556
14	0.040329	0.2765	0.391694
15	-0.038603	-0.2646	0.396218
16	-0.058591	-0.4017	0.344871
17	-0.047181	-0.3235	0.373892
18	0.051695	0.3544	0.362311
19	0.081981	0.562	0.288383
20	0.078608	0.5389	0.296246
21	0.045539	0.3122	0.378135
22	-0.095978	-0.658	0.256876
23	0.088379	0.6059	0.273749
24	-0.061607	-0.4224	0.337344
25	-0.16412	-1.1252	0.133119
26	-0.057215	-0.3922	0.348326
27	0.007478	0.0513	0.479665
28	-0.064479	-0.442	0.330242
29	0.087975	0.6031	0.274663
30	-0.050678	-0.3474	0.36491
31	-0.008088	-0.0554	0.478008
32	0.011075	0.0759	0.4699
33	0.043643	0.2992	0.383053
34	-0.124925	-0.8564	0.19805
35	-0.023725	-0.1626	0.435746
36	0.015485	0.1062	0.457954
37	-0.063327	-0.4341	0.333083
38	0.031054	0.2129	0.416163
39	0.026514	0.1818	0.428272
40	-0.068303	-0.4683	0.320881
41	-0.059092	-0.4051	0.343616
42	-0.0311	-0.2132	0.416041
43	0.002409	0.0165	0.493447
44	-0.018715	-0.1283	0.449229
45	0.090972	0.6237	0.267929
46	-0.062377	-0.4276	0.335436
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 0.5 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;

Parameters (R input):

par1 = 60 ; par2 = 0.5 ; par3 = 1 ; par4 = 1 ; 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