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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 18 Aug 2009 14:05:26 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Aug/18/t1250626031bw7ekl6b0ie5qhi.htm/, Retrieved Mon, 06 May 2024 22:09:20 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42877, Retrieved Mon, 06 May 2024 22:09:20 +0000

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123

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-       [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2009-08-18 20:05:26] [0d1085ed835696cdd537ad5fa07600ec] [Current]

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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	3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42877&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]3 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=42877&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42877&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.972612	11.1745	0
2	0.945018	10.8574	0
3	0.917366	10.5397	0
4	0.891166	10.2387	0
5	0.864438	9.9316	0
6	0.837597	9.6233	0
7	0.811057	9.3183	0
8	0.784059	9.0081	0
9	0.757151	8.699	0
10	0.731526	8.4046	0
11	0.708267	8.1374	0
12	0.685213	7.8725	0
13	0.661566	7.6008	0
14	0.637306	7.3221	0
15	0.613971	7.054	0
16	0.591101	6.7912	0
17	0.568533	6.5319	0
18	0.546358	6.2772	0
19	0.524565	6.0268	0
20	0.502252	5.7704	0
21	0.479834	5.5129	0
22	0.457909	5.261	0
23	0.435741	5.0063	1e-06
24	0.414997	4.768	2e-06
25	0.394336	4.5306	7e-06
26	0.373736	4.2939	1.7e-05
27	0.353786	4.0647	4.1e-05
28	0.333383	3.8303	9.9e-05
29	0.313982	3.6074	0.000219
30	0.294903	3.3882	0.000464
31	0.276325	3.1747	0.000933
32	0.25793	2.9634	0.001805
33	0.240701	2.7654	0.00325
34	0.223718	2.5703	0.005635
35	0.208012	2.3899	0.009134
36	0.193239	2.2202	0.014057
37	0.17749	2.0392	0.021713
38	0.161493	1.8554	0.032884
39	0.145424	1.6708	0.048565
40	0.129923	1.4927	0.068951
41	0.114325	1.3135	0.095647
42	0.098595	1.1328	0.129682
43	0.082434	0.9471	0.172661
44	0.06635	0.7623	0.223621
45	0.052217	0.5999	0.274791
46	0.038933	0.4473	0.327695
47	0.025677	0.295	0.384225
48	0.012339	0.1418	0.44374

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.972612 & 11.1745 & 0 \tabularnewline
2 & 0.945018 & 10.8574 & 0 \tabularnewline
3 & 0.917366 & 10.5397 & 0 \tabularnewline
4 & 0.891166 & 10.2387 & 0 \tabularnewline
5 & 0.864438 & 9.9316 & 0 \tabularnewline
6 & 0.837597 & 9.6233 & 0 \tabularnewline
7 & 0.811057 & 9.3183 & 0 \tabularnewline
8 & 0.784059 & 9.0081 & 0 \tabularnewline
9 & 0.757151 & 8.699 & 0 \tabularnewline
10 & 0.731526 & 8.4046 & 0 \tabularnewline
11 & 0.708267 & 8.1374 & 0 \tabularnewline
12 & 0.685213 & 7.8725 & 0 \tabularnewline
13 & 0.661566 & 7.6008 & 0 \tabularnewline
14 & 0.637306 & 7.3221 & 0 \tabularnewline
15 & 0.613971 & 7.054 & 0 \tabularnewline
16 & 0.591101 & 6.7912 & 0 \tabularnewline
17 & 0.568533 & 6.5319 & 0 \tabularnewline
18 & 0.546358 & 6.2772 & 0 \tabularnewline
19 & 0.524565 & 6.0268 & 0 \tabularnewline
20 & 0.502252 & 5.7704 & 0 \tabularnewline
21 & 0.479834 & 5.5129 & 0 \tabularnewline
22 & 0.457909 & 5.261 & 0 \tabularnewline
23 & 0.435741 & 5.0063 & 1e-06 \tabularnewline
24 & 0.414997 & 4.768 & 2e-06 \tabularnewline
25 & 0.394336 & 4.5306 & 7e-06 \tabularnewline
26 & 0.373736 & 4.2939 & 1.7e-05 \tabularnewline
27 & 0.353786 & 4.0647 & 4.1e-05 \tabularnewline
28 & 0.333383 & 3.8303 & 9.9e-05 \tabularnewline
29 & 0.313982 & 3.6074 & 0.000219 \tabularnewline
30 & 0.294903 & 3.3882 & 0.000464 \tabularnewline
31 & 0.276325 & 3.1747 & 0.000933 \tabularnewline
32 & 0.25793 & 2.9634 & 0.001805 \tabularnewline
33 & 0.240701 & 2.7654 & 0.00325 \tabularnewline
34 & 0.223718 & 2.5703 & 0.005635 \tabularnewline
35 & 0.208012 & 2.3899 & 0.009134 \tabularnewline
36 & 0.193239 & 2.2202 & 0.014057 \tabularnewline
37 & 0.17749 & 2.0392 & 0.021713 \tabularnewline
38 & 0.161493 & 1.8554 & 0.032884 \tabularnewline
39 & 0.145424 & 1.6708 & 0.048565 \tabularnewline
40 & 0.129923 & 1.4927 & 0.068951 \tabularnewline
41 & 0.114325 & 1.3135 & 0.095647 \tabularnewline
42 & 0.098595 & 1.1328 & 0.129682 \tabularnewline
43 & 0.082434 & 0.9471 & 0.172661 \tabularnewline
44 & 0.06635 & 0.7623 & 0.223621 \tabularnewline
45 & 0.052217 & 0.5999 & 0.274791 \tabularnewline
46 & 0.038933 & 0.4473 & 0.327695 \tabularnewline
47 & 0.025677 & 0.295 & 0.384225 \tabularnewline
48 & 0.012339 & 0.1418 & 0.44374 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42877&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]0.972612[/C][C]11.1745[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.945018[/C][C]10.8574[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.917366[/C][C]10.5397[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.891166[/C][C]10.2387[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.864438[/C][C]9.9316[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.837597[/C][C]9.6233[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.811057[/C][C]9.3183[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.784059[/C][C]9.0081[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.757151[/C][C]8.699[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.731526[/C][C]8.4046[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.708267[/C][C]8.1374[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.685213[/C][C]7.8725[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.661566[/C][C]7.6008[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.637306[/C][C]7.3221[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.613971[/C][C]7.054[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.591101[/C][C]6.7912[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.568533[/C][C]6.5319[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.546358[/C][C]6.2772[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.524565[/C][C]6.0268[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.502252[/C][C]5.7704[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.479834[/C][C]5.5129[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.457909[/C][C]5.261[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.435741[/C][C]5.0063[/C][C]1e-06[/C][/ROW]
[ROW][C]24[/C][C]0.414997[/C][C]4.768[/C][C]2e-06[/C][/ROW]
[ROW][C]25[/C][C]0.394336[/C][C]4.5306[/C][C]7e-06[/C][/ROW]
[ROW][C]26[/C][C]0.373736[/C][C]4.2939[/C][C]1.7e-05[/C][/ROW]
[ROW][C]27[/C][C]0.353786[/C][C]4.0647[/C][C]4.1e-05[/C][/ROW]
[ROW][C]28[/C][C]0.333383[/C][C]3.8303[/C][C]9.9e-05[/C][/ROW]
[ROW][C]29[/C][C]0.313982[/C][C]3.6074[/C][C]0.000219[/C][/ROW]
[ROW][C]30[/C][C]0.294903[/C][C]3.3882[/C][C]0.000464[/C][/ROW]
[ROW][C]31[/C][C]0.276325[/C][C]3.1747[/C][C]0.000933[/C][/ROW]
[ROW][C]32[/C][C]0.25793[/C][C]2.9634[/C][C]0.001805[/C][/ROW]
[ROW][C]33[/C][C]0.240701[/C][C]2.7654[/C][C]0.00325[/C][/ROW]
[ROW][C]34[/C][C]0.223718[/C][C]2.5703[/C][C]0.005635[/C][/ROW]
[ROW][C]35[/C][C]0.208012[/C][C]2.3899[/C][C]0.009134[/C][/ROW]
[ROW][C]36[/C][C]0.193239[/C][C]2.2202[/C][C]0.014057[/C][/ROW]
[ROW][C]37[/C][C]0.17749[/C][C]2.0392[/C][C]0.021713[/C][/ROW]
[ROW][C]38[/C][C]0.161493[/C][C]1.8554[/C][C]0.032884[/C][/ROW]
[ROW][C]39[/C][C]0.145424[/C][C]1.6708[/C][C]0.048565[/C][/ROW]
[ROW][C]40[/C][C]0.129923[/C][C]1.4927[/C][C]0.068951[/C][/ROW]
[ROW][C]41[/C][C]0.114325[/C][C]1.3135[/C][C]0.095647[/C][/ROW]
[ROW][C]42[/C][C]0.098595[/C][C]1.1328[/C][C]0.129682[/C][/ROW]
[ROW][C]43[/C][C]0.082434[/C][C]0.9471[/C][C]0.172661[/C][/ROW]
[ROW][C]44[/C][C]0.06635[/C][C]0.7623[/C][C]0.223621[/C][/ROW]
[ROW][C]45[/C][C]0.052217[/C][C]0.5999[/C][C]0.274791[/C][/ROW]
[ROW][C]46[/C][C]0.038933[/C][C]0.4473[/C][C]0.327695[/C][/ROW]
[ROW][C]47[/C][C]0.025677[/C][C]0.295[/C][C]0.384225[/C][/ROW]
[ROW][C]48[/C][C]0.012339[/C][C]0.1418[/C][C]0.44374[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42877&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42877&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	0.972612	11.1745	0
2	0.945018	10.8574	0
3	0.917366	10.5397	0
4	0.891166	10.2387	0
5	0.864438	9.9316	0
6	0.837597	9.6233	0
7	0.811057	9.3183	0
8	0.784059	9.0081	0
9	0.757151	8.699	0
10	0.731526	8.4046	0
11	0.708267	8.1374	0
12	0.685213	7.8725	0
13	0.661566	7.6008	0
14	0.637306	7.3221	0
15	0.613971	7.054	0
16	0.591101	6.7912	0
17	0.568533	6.5319	0
18	0.546358	6.2772	0
19	0.524565	6.0268	0
20	0.502252	5.7704	0
21	0.479834	5.5129	0
22	0.457909	5.261	0
23	0.435741	5.0063	1e-06
24	0.414997	4.768	2e-06
25	0.394336	4.5306	7e-06
26	0.373736	4.2939	1.7e-05
27	0.353786	4.0647	4.1e-05
28	0.333383	3.8303	9.9e-05
29	0.313982	3.6074	0.000219
30	0.294903	3.3882	0.000464
31	0.276325	3.1747	0.000933
32	0.25793	2.9634	0.001805
33	0.240701	2.7654	0.00325
34	0.223718	2.5703	0.005635
35	0.208012	2.3899	0.009134
36	0.193239	2.2202	0.014057
37	0.17749	2.0392	0.021713
38	0.161493	1.8554	0.032884
39	0.145424	1.6708	0.048565
40	0.129923	1.4927	0.068951
41	0.114325	1.3135	0.095647
42	0.098595	1.1328	0.129682
43	0.082434	0.9471	0.172661
44	0.06635	0.7623	0.223621
45	0.052217	0.5999	0.274791
46	0.038933	0.4473	0.327695
47	0.025677	0.295	0.384225
48	0.012339	0.1418	0.44374

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.972612	11.1745	0
2	-0.017692	-0.2033	0.419618
3	-0.015257	-0.1753	0.430561
4	0.012481	0.1434	0.443099
5	-0.023848	-0.274	0.392261
6	-0.016415	-0.1886	0.425352
7	-0.008281	-0.0951	0.462173
8	-0.023724	-0.2726	0.392805
9	-0.0134	-0.1539	0.438943
10	0.008842	0.1016	0.45962
11	0.028308	0.3252	0.372761
12	-0.010131	-0.1164	0.453759
13	-0.023712	-0.2724	0.39286
14	-0.023977	-0.2755	0.391693
15	0.001769	0.0203	0.491909
16	-0.006558	-0.0753	0.470026
17	-0.009284	-0.1067	0.457606
18	-0.006845	-0.0786	0.468716
19	-0.006898	-0.0793	0.468474
20	-0.022189	-0.2549	0.399586
21	-0.014328	-0.1646	0.434748
22	-0.006204	-0.0713	0.471641
23	-0.02175	-0.2499	0.401532
24	0.010823	0.1244	0.450613
25	-0.011289	-0.1297	0.4485
26	-0.013521	-0.1553	0.438395
27	-0.001027	-0.0118	0.495301
28	-0.023446	-0.2694	0.39403
29	0.003039	0.0349	0.486098
30	-0.008974	-0.1031	0.459021
31	-0.006942	-0.0798	0.468275
32	-0.009927	-0.1141	0.454684
33	0.007856	0.0903	0.46411
34	-0.00844	-0.097	0.461451
35	0.009647	0.1108	0.455957
36	0.004337	0.0498	0.480167
37	-0.032449	-0.3728	0.354942
38	-0.017322	-0.199	0.421279
39	-0.013456	-0.1546	0.438689
40	-0.004905	-0.0564	0.477572
41	-0.015118	-0.1737	0.431186
42	-0.016384	-0.1882	0.425489
43	-0.021382	-0.2457	0.403164
44	-0.012584	-0.1446	0.442631
45	0.023633	0.2715	0.393205
46	0.000518	0.006	0.49763
47	-0.014489	-0.1665	0.434024
48	-0.015202	-0.1747	0.430807

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.972612 & 11.1745 & 0 \tabularnewline
2 & -0.017692 & -0.2033 & 0.419618 \tabularnewline
3 & -0.015257 & -0.1753 & 0.430561 \tabularnewline
4 & 0.012481 & 0.1434 & 0.443099 \tabularnewline
5 & -0.023848 & -0.274 & 0.392261 \tabularnewline
6 & -0.016415 & -0.1886 & 0.425352 \tabularnewline
7 & -0.008281 & -0.0951 & 0.462173 \tabularnewline
8 & -0.023724 & -0.2726 & 0.392805 \tabularnewline
9 & -0.0134 & -0.1539 & 0.438943 \tabularnewline
10 & 0.008842 & 0.1016 & 0.45962 \tabularnewline
11 & 0.028308 & 0.3252 & 0.372761 \tabularnewline
12 & -0.010131 & -0.1164 & 0.453759 \tabularnewline
13 & -0.023712 & -0.2724 & 0.39286 \tabularnewline
14 & -0.023977 & -0.2755 & 0.391693 \tabularnewline
15 & 0.001769 & 0.0203 & 0.491909 \tabularnewline
16 & -0.006558 & -0.0753 & 0.470026 \tabularnewline
17 & -0.009284 & -0.1067 & 0.457606 \tabularnewline
18 & -0.006845 & -0.0786 & 0.468716 \tabularnewline
19 & -0.006898 & -0.0793 & 0.468474 \tabularnewline
20 & -0.022189 & -0.2549 & 0.399586 \tabularnewline
21 & -0.014328 & -0.1646 & 0.434748 \tabularnewline
22 & -0.006204 & -0.0713 & 0.471641 \tabularnewline
23 & -0.02175 & -0.2499 & 0.401532 \tabularnewline
24 & 0.010823 & 0.1244 & 0.450613 \tabularnewline
25 & -0.011289 & -0.1297 & 0.4485 \tabularnewline
26 & -0.013521 & -0.1553 & 0.438395 \tabularnewline
27 & -0.001027 & -0.0118 & 0.495301 \tabularnewline
28 & -0.023446 & -0.2694 & 0.39403 \tabularnewline
29 & 0.003039 & 0.0349 & 0.486098 \tabularnewline
30 & -0.008974 & -0.1031 & 0.459021 \tabularnewline
31 & -0.006942 & -0.0798 & 0.468275 \tabularnewline
32 & -0.009927 & -0.1141 & 0.454684 \tabularnewline
33 & 0.007856 & 0.0903 & 0.46411 \tabularnewline
34 & -0.00844 & -0.097 & 0.461451 \tabularnewline
35 & 0.009647 & 0.1108 & 0.455957 \tabularnewline
36 & 0.004337 & 0.0498 & 0.480167 \tabularnewline
37 & -0.032449 & -0.3728 & 0.354942 \tabularnewline
38 & -0.017322 & -0.199 & 0.421279 \tabularnewline
39 & -0.013456 & -0.1546 & 0.438689 \tabularnewline
40 & -0.004905 & -0.0564 & 0.477572 \tabularnewline
41 & -0.015118 & -0.1737 & 0.431186 \tabularnewline
42 & -0.016384 & -0.1882 & 0.425489 \tabularnewline
43 & -0.021382 & -0.2457 & 0.403164 \tabularnewline
44 & -0.012584 & -0.1446 & 0.442631 \tabularnewline
45 & 0.023633 & 0.2715 & 0.393205 \tabularnewline
46 & 0.000518 & 0.006 & 0.49763 \tabularnewline
47 & -0.014489 & -0.1665 & 0.434024 \tabularnewline
48 & -0.015202 & -0.1747 & 0.430807 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42877&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]0.972612[/C][C]11.1745[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.017692[/C][C]-0.2033[/C][C]0.419618[/C][/ROW]
[ROW][C]3[/C][C]-0.015257[/C][C]-0.1753[/C][C]0.430561[/C][/ROW]
[ROW][C]4[/C][C]0.012481[/C][C]0.1434[/C][C]0.443099[/C][/ROW]
[ROW][C]5[/C][C]-0.023848[/C][C]-0.274[/C][C]0.392261[/C][/ROW]
[ROW][C]6[/C][C]-0.016415[/C][C]-0.1886[/C][C]0.425352[/C][/ROW]
[ROW][C]7[/C][C]-0.008281[/C][C]-0.0951[/C][C]0.462173[/C][/ROW]
[ROW][C]8[/C][C]-0.023724[/C][C]-0.2726[/C][C]0.392805[/C][/ROW]
[ROW][C]9[/C][C]-0.0134[/C][C]-0.1539[/C][C]0.438943[/C][/ROW]
[ROW][C]10[/C][C]0.008842[/C][C]0.1016[/C][C]0.45962[/C][/ROW]
[ROW][C]11[/C][C]0.028308[/C][C]0.3252[/C][C]0.372761[/C][/ROW]
[ROW][C]12[/C][C]-0.010131[/C][C]-0.1164[/C][C]0.453759[/C][/ROW]
[ROW][C]13[/C][C]-0.023712[/C][C]-0.2724[/C][C]0.39286[/C][/ROW]
[ROW][C]14[/C][C]-0.023977[/C][C]-0.2755[/C][C]0.391693[/C][/ROW]
[ROW][C]15[/C][C]0.001769[/C][C]0.0203[/C][C]0.491909[/C][/ROW]
[ROW][C]16[/C][C]-0.006558[/C][C]-0.0753[/C][C]0.470026[/C][/ROW]
[ROW][C]17[/C][C]-0.009284[/C][C]-0.1067[/C][C]0.457606[/C][/ROW]
[ROW][C]18[/C][C]-0.006845[/C][C]-0.0786[/C][C]0.468716[/C][/ROW]
[ROW][C]19[/C][C]-0.006898[/C][C]-0.0793[/C][C]0.468474[/C][/ROW]
[ROW][C]20[/C][C]-0.022189[/C][C]-0.2549[/C][C]0.399586[/C][/ROW]
[ROW][C]21[/C][C]-0.014328[/C][C]-0.1646[/C][C]0.434748[/C][/ROW]
[ROW][C]22[/C][C]-0.006204[/C][C]-0.0713[/C][C]0.471641[/C][/ROW]
[ROW][C]23[/C][C]-0.02175[/C][C]-0.2499[/C][C]0.401532[/C][/ROW]
[ROW][C]24[/C][C]0.010823[/C][C]0.1244[/C][C]0.450613[/C][/ROW]
[ROW][C]25[/C][C]-0.011289[/C][C]-0.1297[/C][C]0.4485[/C][/ROW]
[ROW][C]26[/C][C]-0.013521[/C][C]-0.1553[/C][C]0.438395[/C][/ROW]
[ROW][C]27[/C][C]-0.001027[/C][C]-0.0118[/C][C]0.495301[/C][/ROW]
[ROW][C]28[/C][C]-0.023446[/C][C]-0.2694[/C][C]0.39403[/C][/ROW]
[ROW][C]29[/C][C]0.003039[/C][C]0.0349[/C][C]0.486098[/C][/ROW]
[ROW][C]30[/C][C]-0.008974[/C][C]-0.1031[/C][C]0.459021[/C][/ROW]
[ROW][C]31[/C][C]-0.006942[/C][C]-0.0798[/C][C]0.468275[/C][/ROW]
[ROW][C]32[/C][C]-0.009927[/C][C]-0.1141[/C][C]0.454684[/C][/ROW]
[ROW][C]33[/C][C]0.007856[/C][C]0.0903[/C][C]0.46411[/C][/ROW]
[ROW][C]34[/C][C]-0.00844[/C][C]-0.097[/C][C]0.461451[/C][/ROW]
[ROW][C]35[/C][C]0.009647[/C][C]0.1108[/C][C]0.455957[/C][/ROW]
[ROW][C]36[/C][C]0.004337[/C][C]0.0498[/C][C]0.480167[/C][/ROW]
[ROW][C]37[/C][C]-0.032449[/C][C]-0.3728[/C][C]0.354942[/C][/ROW]
[ROW][C]38[/C][C]-0.017322[/C][C]-0.199[/C][C]0.421279[/C][/ROW]
[ROW][C]39[/C][C]-0.013456[/C][C]-0.1546[/C][C]0.438689[/C][/ROW]
[ROW][C]40[/C][C]-0.004905[/C][C]-0.0564[/C][C]0.477572[/C][/ROW]
[ROW][C]41[/C][C]-0.015118[/C][C]-0.1737[/C][C]0.431186[/C][/ROW]
[ROW][C]42[/C][C]-0.016384[/C][C]-0.1882[/C][C]0.425489[/C][/ROW]
[ROW][C]43[/C][C]-0.021382[/C][C]-0.2457[/C][C]0.403164[/C][/ROW]
[ROW][C]44[/C][C]-0.012584[/C][C]-0.1446[/C][C]0.442631[/C][/ROW]
[ROW][C]45[/C][C]0.023633[/C][C]0.2715[/C][C]0.393205[/C][/ROW]
[ROW][C]46[/C][C]0.000518[/C][C]0.006[/C][C]0.49763[/C][/ROW]
[ROW][C]47[/C][C]-0.014489[/C][C]-0.1665[/C][C]0.434024[/C][/ROW]
[ROW][C]48[/C][C]-0.015202[/C][C]-0.1747[/C][C]0.430807[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42877&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42877&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	0.972612	11.1745	0
2	-0.017692	-0.2033	0.419618
3	-0.015257	-0.1753	0.430561
4	0.012481	0.1434	0.443099
5	-0.023848	-0.274	0.392261
6	-0.016415	-0.1886	0.425352
7	-0.008281	-0.0951	0.462173
8	-0.023724	-0.2726	0.392805
9	-0.0134	-0.1539	0.438943
10	0.008842	0.1016	0.45962
11	0.028308	0.3252	0.372761
12	-0.010131	-0.1164	0.453759
13	-0.023712	-0.2724	0.39286
14	-0.023977	-0.2755	0.391693
15	0.001769	0.0203	0.491909
16	-0.006558	-0.0753	0.470026
17	-0.009284	-0.1067	0.457606
18	-0.006845	-0.0786	0.468716
19	-0.006898	-0.0793	0.468474
20	-0.022189	-0.2549	0.399586
21	-0.014328	-0.1646	0.434748
22	-0.006204	-0.0713	0.471641
23	-0.02175	-0.2499	0.401532
24	0.010823	0.1244	0.450613
25	-0.011289	-0.1297	0.4485
26	-0.013521	-0.1553	0.438395
27	-0.001027	-0.0118	0.495301
28	-0.023446	-0.2694	0.39403
29	0.003039	0.0349	0.486098
30	-0.008974	-0.1031	0.459021
31	-0.006942	-0.0798	0.468275
32	-0.009927	-0.1141	0.454684
33	0.007856	0.0903	0.46411
34	-0.00844	-0.097	0.461451
35	0.009647	0.1108	0.455957
36	0.004337	0.0498	0.480167
37	-0.032449	-0.3728	0.354942
38	-0.017322	-0.199	0.421279
39	-0.013456	-0.1546	0.438689
40	-0.004905	-0.0564	0.477572
41	-0.015118	-0.1737	0.431186
42	-0.016384	-0.1882	0.425489
43	-0.021382	-0.2457	0.403164
44	-0.012584	-0.1446	0.442631
45	0.023633	0.2715	0.393205
46	0.000518	0.006	0.49763
47	-0.014489	-0.1665	0.434024
48	-0.015202	-0.1747	0.430807

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 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;

R code (references can be found in the software module):

if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code