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R Software Module

rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Thu, 11 Dec 2008 11:48:59 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/11/t1229021433a4o94ma5uwqtz6c.htm/, Retrieved Sat, 25 May 2024 00:49:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32433, Retrieved Sat, 25 May 2024 00:49:16 +0000

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-       [(Partial) Autocorrelation Function] [opgave 6 bis oefe...] [2008-12-11 18:48:59] [8318384c9bdcc6ef9a73ee2012b12620] [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	1 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32433&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32433&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32433&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	'George Udny Yule' @ 72.249.76.132

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.175534	1.7109	0.045182
2	-0.175638	-1.7119	0.045088
3	-0.149157	-1.4538	0.074649
4	-0.190863	-1.8603	0.032968
5	-0.032677	-0.3185	0.375403
6	-0.028586	-0.2786	0.390569
7	-0.02806	-0.2735	0.392533
8	-0.170733	-1.6641	0.049694
9	-0.0879	-0.8567	0.196872
10	-0.141628	-1.3804	0.085348
11	0.032899	0.3207	0.374587
12	0.573575	5.5905	0
13	0.154211	1.5031	0.06807
14	-0.059176	-0.5768	0.282728
15	-0.067654	-0.6594	0.255614
16	-0.118754	-1.1575	0.124991
17	-0.044705	-0.4357	0.332012
18	-0.019174	-0.1869	0.426075
19	-0.034277	-0.3341	0.369524
20	-0.13187	-1.2853	0.100905
21	-0.068434	-0.667	0.25319
22	-0.042752	-0.4167	0.338922
23	0.08873	0.8648	0.194654
24	0.368918	3.5958	0.000258
25	0.030582	0.2981	0.383148
26	-0.057566	-0.5611	0.288029
27	-0.068132	-0.6641	0.254129
28	-0.096619	-0.9417	0.174362
29	-0.048318	-0.4709	0.319381
30	-0.042757	-0.4167	0.338904
31	-0.008767	-0.0855	0.46604
32	-0.062229	-0.6065	0.272804
33	-0.098255	-0.9577	0.17033
34	-0.059802	-0.5829	0.280678
35	0.086832	0.8463	0.199748
36	0.361074	3.5193	0.000333
37	0.057366	0.5591	0.288694
38	-0.066063	-0.6439	0.260594
39	-0.09074	-0.8844	0.18935
40	-0.136437	-1.3298	0.09338
41	-0.012235	-0.1192	0.452665
42	-0.026918	-0.2624	0.396805
43	-0.040217	-0.392	0.347971
44	-0.031209	-0.3042	0.380825
45	-0.057016	-0.5557	0.289855
46	-0.067156	-0.6546	0.257168
47	0.023591	0.2299	0.409317
48	0.322798	3.1463	0.001104

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.175534 & 1.7109 & 0.045182 \tabularnewline
2 & -0.175638 & -1.7119 & 0.045088 \tabularnewline
3 & -0.149157 & -1.4538 & 0.074649 \tabularnewline
4 & -0.190863 & -1.8603 & 0.032968 \tabularnewline
5 & -0.032677 & -0.3185 & 0.375403 \tabularnewline
6 & -0.028586 & -0.2786 & 0.390569 \tabularnewline
7 & -0.02806 & -0.2735 & 0.392533 \tabularnewline
8 & -0.170733 & -1.6641 & 0.049694 \tabularnewline
9 & -0.0879 & -0.8567 & 0.196872 \tabularnewline
10 & -0.141628 & -1.3804 & 0.085348 \tabularnewline
11 & 0.032899 & 0.3207 & 0.374587 \tabularnewline
12 & 0.573575 & 5.5905 & 0 \tabularnewline
13 & 0.154211 & 1.5031 & 0.06807 \tabularnewline
14 & -0.059176 & -0.5768 & 0.282728 \tabularnewline
15 & -0.067654 & -0.6594 & 0.255614 \tabularnewline
16 & -0.118754 & -1.1575 & 0.124991 \tabularnewline
17 & -0.044705 & -0.4357 & 0.332012 \tabularnewline
18 & -0.019174 & -0.1869 & 0.426075 \tabularnewline
19 & -0.034277 & -0.3341 & 0.369524 \tabularnewline
20 & -0.13187 & -1.2853 & 0.100905 \tabularnewline
21 & -0.068434 & -0.667 & 0.25319 \tabularnewline
22 & -0.042752 & -0.4167 & 0.338922 \tabularnewline
23 & 0.08873 & 0.8648 & 0.194654 \tabularnewline
24 & 0.368918 & 3.5958 & 0.000258 \tabularnewline
25 & 0.030582 & 0.2981 & 0.383148 \tabularnewline
26 & -0.057566 & -0.5611 & 0.288029 \tabularnewline
27 & -0.068132 & -0.6641 & 0.254129 \tabularnewline
28 & -0.096619 & -0.9417 & 0.174362 \tabularnewline
29 & -0.048318 & -0.4709 & 0.319381 \tabularnewline
30 & -0.042757 & -0.4167 & 0.338904 \tabularnewline
31 & -0.008767 & -0.0855 & 0.46604 \tabularnewline
32 & -0.062229 & -0.6065 & 0.272804 \tabularnewline
33 & -0.098255 & -0.9577 & 0.17033 \tabularnewline
34 & -0.059802 & -0.5829 & 0.280678 \tabularnewline
35 & 0.086832 & 0.8463 & 0.199748 \tabularnewline
36 & 0.361074 & 3.5193 & 0.000333 \tabularnewline
37 & 0.057366 & 0.5591 & 0.288694 \tabularnewline
38 & -0.066063 & -0.6439 & 0.260594 \tabularnewline
39 & -0.09074 & -0.8844 & 0.18935 \tabularnewline
40 & -0.136437 & -1.3298 & 0.09338 \tabularnewline
41 & -0.012235 & -0.1192 & 0.452665 \tabularnewline
42 & -0.026918 & -0.2624 & 0.396805 \tabularnewline
43 & -0.040217 & -0.392 & 0.347971 \tabularnewline
44 & -0.031209 & -0.3042 & 0.380825 \tabularnewline
45 & -0.057016 & -0.5557 & 0.289855 \tabularnewline
46 & -0.067156 & -0.6546 & 0.257168 \tabularnewline
47 & 0.023591 & 0.2299 & 0.409317 \tabularnewline
48 & 0.322798 & 3.1463 & 0.001104 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32433&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]0.175534[/C][C]1.7109[/C][C]0.045182[/C][/ROW]
[ROW][C]2[/C][C]-0.175638[/C][C]-1.7119[/C][C]0.045088[/C][/ROW]
[ROW][C]3[/C][C]-0.149157[/C][C]-1.4538[/C][C]0.074649[/C][/ROW]
[ROW][C]4[/C][C]-0.190863[/C][C]-1.8603[/C][C]0.032968[/C][/ROW]
[ROW][C]5[/C][C]-0.032677[/C][C]-0.3185[/C][C]0.375403[/C][/ROW]
[ROW][C]6[/C][C]-0.028586[/C][C]-0.2786[/C][C]0.390569[/C][/ROW]
[ROW][C]7[/C][C]-0.02806[/C][C]-0.2735[/C][C]0.392533[/C][/ROW]
[ROW][C]8[/C][C]-0.170733[/C][C]-1.6641[/C][C]0.049694[/C][/ROW]
[ROW][C]9[/C][C]-0.0879[/C][C]-0.8567[/C][C]0.196872[/C][/ROW]
[ROW][C]10[/C][C]-0.141628[/C][C]-1.3804[/C][C]0.085348[/C][/ROW]
[ROW][C]11[/C][C]0.032899[/C][C]0.3207[/C][C]0.374587[/C][/ROW]
[ROW][C]12[/C][C]0.573575[/C][C]5.5905[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.154211[/C][C]1.5031[/C][C]0.06807[/C][/ROW]
[ROW][C]14[/C][C]-0.059176[/C][C]-0.5768[/C][C]0.282728[/C][/ROW]
[ROW][C]15[/C][C]-0.067654[/C][C]-0.6594[/C][C]0.255614[/C][/ROW]
[ROW][C]16[/C][C]-0.118754[/C][C]-1.1575[/C][C]0.124991[/C][/ROW]
[ROW][C]17[/C][C]-0.044705[/C][C]-0.4357[/C][C]0.332012[/C][/ROW]
[ROW][C]18[/C][C]-0.019174[/C][C]-0.1869[/C][C]0.426075[/C][/ROW]
[ROW][C]19[/C][C]-0.034277[/C][C]-0.3341[/C][C]0.369524[/C][/ROW]
[ROW][C]20[/C][C]-0.13187[/C][C]-1.2853[/C][C]0.100905[/C][/ROW]
[ROW][C]21[/C][C]-0.068434[/C][C]-0.667[/C][C]0.25319[/C][/ROW]
[ROW][C]22[/C][C]-0.042752[/C][C]-0.4167[/C][C]0.338922[/C][/ROW]
[ROW][C]23[/C][C]0.08873[/C][C]0.8648[/C][C]0.194654[/C][/ROW]
[ROW][C]24[/C][C]0.368918[/C][C]3.5958[/C][C]0.000258[/C][/ROW]
[ROW][C]25[/C][C]0.030582[/C][C]0.2981[/C][C]0.383148[/C][/ROW]
[ROW][C]26[/C][C]-0.057566[/C][C]-0.5611[/C][C]0.288029[/C][/ROW]
[ROW][C]27[/C][C]-0.068132[/C][C]-0.6641[/C][C]0.254129[/C][/ROW]
[ROW][C]28[/C][C]-0.096619[/C][C]-0.9417[/C][C]0.174362[/C][/ROW]
[ROW][C]29[/C][C]-0.048318[/C][C]-0.4709[/C][C]0.319381[/C][/ROW]
[ROW][C]30[/C][C]-0.042757[/C][C]-0.4167[/C][C]0.338904[/C][/ROW]
[ROW][C]31[/C][C]-0.008767[/C][C]-0.0855[/C][C]0.46604[/C][/ROW]
[ROW][C]32[/C][C]-0.062229[/C][C]-0.6065[/C][C]0.272804[/C][/ROW]
[ROW][C]33[/C][C]-0.098255[/C][C]-0.9577[/C][C]0.17033[/C][/ROW]
[ROW][C]34[/C][C]-0.059802[/C][C]-0.5829[/C][C]0.280678[/C][/ROW]
[ROW][C]35[/C][C]0.086832[/C][C]0.8463[/C][C]0.199748[/C][/ROW]
[ROW][C]36[/C][C]0.361074[/C][C]3.5193[/C][C]0.000333[/C][/ROW]
[ROW][C]37[/C][C]0.057366[/C][C]0.5591[/C][C]0.288694[/C][/ROW]
[ROW][C]38[/C][C]-0.066063[/C][C]-0.6439[/C][C]0.260594[/C][/ROW]
[ROW][C]39[/C][C]-0.09074[/C][C]-0.8844[/C][C]0.18935[/C][/ROW]
[ROW][C]40[/C][C]-0.136437[/C][C]-1.3298[/C][C]0.09338[/C][/ROW]
[ROW][C]41[/C][C]-0.012235[/C][C]-0.1192[/C][C]0.452665[/C][/ROW]
[ROW][C]42[/C][C]-0.026918[/C][C]-0.2624[/C][C]0.396805[/C][/ROW]
[ROW][C]43[/C][C]-0.040217[/C][C]-0.392[/C][C]0.347971[/C][/ROW]
[ROW][C]44[/C][C]-0.031209[/C][C]-0.3042[/C][C]0.380825[/C][/ROW]
[ROW][C]45[/C][C]-0.057016[/C][C]-0.5557[/C][C]0.289855[/C][/ROW]
[ROW][C]46[/C][C]-0.067156[/C][C]-0.6546[/C][C]0.257168[/C][/ROW]
[ROW][C]47[/C][C]0.023591[/C][C]0.2299[/C][C]0.409317[/C][/ROW]
[ROW][C]48[/C][C]0.322798[/C][C]3.1463[/C][C]0.001104[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32433&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32433&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	0.175534	1.7109	0.045182
2	-0.175638	-1.7119	0.045088
3	-0.149157	-1.4538	0.074649
4	-0.190863	-1.8603	0.032968
5	-0.032677	-0.3185	0.375403
6	-0.028586	-0.2786	0.390569
7	-0.02806	-0.2735	0.392533
8	-0.170733	-1.6641	0.049694
9	-0.0879	-0.8567	0.196872
10	-0.141628	-1.3804	0.085348
11	0.032899	0.3207	0.374587
12	0.573575	5.5905	0
13	0.154211	1.5031	0.06807
14	-0.059176	-0.5768	0.282728
15	-0.067654	-0.6594	0.255614
16	-0.118754	-1.1575	0.124991
17	-0.044705	-0.4357	0.332012
18	-0.019174	-0.1869	0.426075
19	-0.034277	-0.3341	0.369524
20	-0.13187	-1.2853	0.100905
21	-0.068434	-0.667	0.25319
22	-0.042752	-0.4167	0.338922
23	0.08873	0.8648	0.194654
24	0.368918	3.5958	0.000258
25	0.030582	0.2981	0.383148
26	-0.057566	-0.5611	0.288029
27	-0.068132	-0.6641	0.254129
28	-0.096619	-0.9417	0.174362
29	-0.048318	-0.4709	0.319381
30	-0.042757	-0.4167	0.338904
31	-0.008767	-0.0855	0.46604
32	-0.062229	-0.6065	0.272804
33	-0.098255	-0.9577	0.17033
34	-0.059802	-0.5829	0.280678
35	0.086832	0.8463	0.199748
36	0.361074	3.5193	0.000333
37	0.057366	0.5591	0.288694
38	-0.066063	-0.6439	0.260594
39	-0.09074	-0.8844	0.18935
40	-0.136437	-1.3298	0.09338
41	-0.012235	-0.1192	0.452665
42	-0.026918	-0.2624	0.396805
43	-0.040217	-0.392	0.347971
44	-0.031209	-0.3042	0.380825
45	-0.057016	-0.5557	0.289855
46	-0.067156	-0.6546	0.257168
47	0.023591	0.2299	0.409317
48	0.322798	3.1463	0.001104

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.175534	1.7109	0.045182
2	-0.213013	-2.0762	0.020288
3	-0.080379	-0.7834	0.217658
4	-0.197943	-1.9293	0.028338
5	-0.006692	-0.0652	0.474066
6	-0.121627	-1.1855	0.119394
7	-0.057812	-0.5635	0.287216
8	-0.263221	-2.5656	0.005933
9	-0.08234	-0.8025	0.21212
10	-0.325551	-3.1731	0.001016
11	-0.045555	-0.444	0.329021
12	0.437826	4.2674	2.3e-05
13	-0.11474	-1.1184	0.133119
14	0.066981	0.6529	0.257714
15	0.027227	0.2654	0.395648
16	0.023501	0.2291	0.409659
17	-0.033764	-0.3291	0.371404
18	0.014417	0.1405	0.444273
19	-0.052001	-0.5068	0.306718
20	0.001253	0.0122	0.495141
21	-0.064664	-0.6303	0.265018
22	0.100556	0.9801	0.164764
23	0.11356	1.1068	0.135579
24	0.055559	0.5415	0.294709
25	-0.104507	-1.0186	0.155487
26	0.056975	0.5553	0.289988
27	-0.088233	-0.86	0.195979
28	-0.025419	-0.2478	0.402428
29	-0.076396	-0.7446	0.229172
30	-0.055009	-0.5362	0.296551
31	-0.004807	-0.0469	0.481363
32	0.013673	0.1333	0.447132
33	-0.135094	-1.3167	0.095547
34	-0.030145	-0.2938	0.38477
35	-0.073349	-0.7149	0.238206
36	0.127886	1.2465	0.107827
37	-0.060004	-0.5848	0.280019
38	-0.025914	-0.2526	0.400571
39	-0.05541	-0.5401	0.295206
40	-0.068288	-0.6656	0.253643
41	0.015437	0.1505	0.440359
42	-0.022022	-0.2146	0.415252
43	-0.09221	-0.8988	0.185528
44	-0.001108	-0.0108	0.495703
45	-0.020737	-0.2021	0.420126
46	-0.063183	-0.6158	0.269738
47	-0.055961	-0.5454	0.293366
48	0.061326	0.5977	0.275719

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.175534 & 1.7109 & 0.045182 \tabularnewline
2 & -0.213013 & -2.0762 & 0.020288 \tabularnewline
3 & -0.080379 & -0.7834 & 0.217658 \tabularnewline
4 & -0.197943 & -1.9293 & 0.028338 \tabularnewline
5 & -0.006692 & -0.0652 & 0.474066 \tabularnewline
6 & -0.121627 & -1.1855 & 0.119394 \tabularnewline
7 & -0.057812 & -0.5635 & 0.287216 \tabularnewline
8 & -0.263221 & -2.5656 & 0.005933 \tabularnewline
9 & -0.08234 & -0.8025 & 0.21212 \tabularnewline
10 & -0.325551 & -3.1731 & 0.001016 \tabularnewline
11 & -0.045555 & -0.444 & 0.329021 \tabularnewline
12 & 0.437826 & 4.2674 & 2.3e-05 \tabularnewline
13 & -0.11474 & -1.1184 & 0.133119 \tabularnewline
14 & 0.066981 & 0.6529 & 0.257714 \tabularnewline
15 & 0.027227 & 0.2654 & 0.395648 \tabularnewline
16 & 0.023501 & 0.2291 & 0.409659 \tabularnewline
17 & -0.033764 & -0.3291 & 0.371404 \tabularnewline
18 & 0.014417 & 0.1405 & 0.444273 \tabularnewline
19 & -0.052001 & -0.5068 & 0.306718 \tabularnewline
20 & 0.001253 & 0.0122 & 0.495141 \tabularnewline
21 & -0.064664 & -0.6303 & 0.265018 \tabularnewline
22 & 0.100556 & 0.9801 & 0.164764 \tabularnewline
23 & 0.11356 & 1.1068 & 0.135579 \tabularnewline
24 & 0.055559 & 0.5415 & 0.294709 \tabularnewline
25 & -0.104507 & -1.0186 & 0.155487 \tabularnewline
26 & 0.056975 & 0.5553 & 0.289988 \tabularnewline
27 & -0.088233 & -0.86 & 0.195979 \tabularnewline
28 & -0.025419 & -0.2478 & 0.402428 \tabularnewline
29 & -0.076396 & -0.7446 & 0.229172 \tabularnewline
30 & -0.055009 & -0.5362 & 0.296551 \tabularnewline
31 & -0.004807 & -0.0469 & 0.481363 \tabularnewline
32 & 0.013673 & 0.1333 & 0.447132 \tabularnewline
33 & -0.135094 & -1.3167 & 0.095547 \tabularnewline
34 & -0.030145 & -0.2938 & 0.38477 \tabularnewline
35 & -0.073349 & -0.7149 & 0.238206 \tabularnewline
36 & 0.127886 & 1.2465 & 0.107827 \tabularnewline
37 & -0.060004 & -0.5848 & 0.280019 \tabularnewline
38 & -0.025914 & -0.2526 & 0.400571 \tabularnewline
39 & -0.05541 & -0.5401 & 0.295206 \tabularnewline
40 & -0.068288 & -0.6656 & 0.253643 \tabularnewline
41 & 0.015437 & 0.1505 & 0.440359 \tabularnewline
42 & -0.022022 & -0.2146 & 0.415252 \tabularnewline
43 & -0.09221 & -0.8988 & 0.185528 \tabularnewline
44 & -0.001108 & -0.0108 & 0.495703 \tabularnewline
45 & -0.020737 & -0.2021 & 0.420126 \tabularnewline
46 & -0.063183 & -0.6158 & 0.269738 \tabularnewline
47 & -0.055961 & -0.5454 & 0.293366 \tabularnewline
48 & 0.061326 & 0.5977 & 0.275719 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32433&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]0.175534[/C][C]1.7109[/C][C]0.045182[/C][/ROW]
[ROW][C]2[/C][C]-0.213013[/C][C]-2.0762[/C][C]0.020288[/C][/ROW]
[ROW][C]3[/C][C]-0.080379[/C][C]-0.7834[/C][C]0.217658[/C][/ROW]
[ROW][C]4[/C][C]-0.197943[/C][C]-1.9293[/C][C]0.028338[/C][/ROW]
[ROW][C]5[/C][C]-0.006692[/C][C]-0.0652[/C][C]0.474066[/C][/ROW]
[ROW][C]6[/C][C]-0.121627[/C][C]-1.1855[/C][C]0.119394[/C][/ROW]
[ROW][C]7[/C][C]-0.057812[/C][C]-0.5635[/C][C]0.287216[/C][/ROW]
[ROW][C]8[/C][C]-0.263221[/C][C]-2.5656[/C][C]0.005933[/C][/ROW]
[ROW][C]9[/C][C]-0.08234[/C][C]-0.8025[/C][C]0.21212[/C][/ROW]
[ROW][C]10[/C][C]-0.325551[/C][C]-3.1731[/C][C]0.001016[/C][/ROW]
[ROW][C]11[/C][C]-0.045555[/C][C]-0.444[/C][C]0.329021[/C][/ROW]
[ROW][C]12[/C][C]0.437826[/C][C]4.2674[/C][C]2.3e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.11474[/C][C]-1.1184[/C][C]0.133119[/C][/ROW]
[ROW][C]14[/C][C]0.066981[/C][C]0.6529[/C][C]0.257714[/C][/ROW]
[ROW][C]15[/C][C]0.027227[/C][C]0.2654[/C][C]0.395648[/C][/ROW]
[ROW][C]16[/C][C]0.023501[/C][C]0.2291[/C][C]0.409659[/C][/ROW]
[ROW][C]17[/C][C]-0.033764[/C][C]-0.3291[/C][C]0.371404[/C][/ROW]
[ROW][C]18[/C][C]0.014417[/C][C]0.1405[/C][C]0.444273[/C][/ROW]
[ROW][C]19[/C][C]-0.052001[/C][C]-0.5068[/C][C]0.306718[/C][/ROW]
[ROW][C]20[/C][C]0.001253[/C][C]0.0122[/C][C]0.495141[/C][/ROW]
[ROW][C]21[/C][C]-0.064664[/C][C]-0.6303[/C][C]0.265018[/C][/ROW]
[ROW][C]22[/C][C]0.100556[/C][C]0.9801[/C][C]0.164764[/C][/ROW]
[ROW][C]23[/C][C]0.11356[/C][C]1.1068[/C][C]0.135579[/C][/ROW]
[ROW][C]24[/C][C]0.055559[/C][C]0.5415[/C][C]0.294709[/C][/ROW]
[ROW][C]25[/C][C]-0.104507[/C][C]-1.0186[/C][C]0.155487[/C][/ROW]
[ROW][C]26[/C][C]0.056975[/C][C]0.5553[/C][C]0.289988[/C][/ROW]
[ROW][C]27[/C][C]-0.088233[/C][C]-0.86[/C][C]0.195979[/C][/ROW]
[ROW][C]28[/C][C]-0.025419[/C][C]-0.2478[/C][C]0.402428[/C][/ROW]
[ROW][C]29[/C][C]-0.076396[/C][C]-0.7446[/C][C]0.229172[/C][/ROW]
[ROW][C]30[/C][C]-0.055009[/C][C]-0.5362[/C][C]0.296551[/C][/ROW]
[ROW][C]31[/C][C]-0.004807[/C][C]-0.0469[/C][C]0.481363[/C][/ROW]
[ROW][C]32[/C][C]0.013673[/C][C]0.1333[/C][C]0.447132[/C][/ROW]
[ROW][C]33[/C][C]-0.135094[/C][C]-1.3167[/C][C]0.095547[/C][/ROW]
[ROW][C]34[/C][C]-0.030145[/C][C]-0.2938[/C][C]0.38477[/C][/ROW]
[ROW][C]35[/C][C]-0.073349[/C][C]-0.7149[/C][C]0.238206[/C][/ROW]
[ROW][C]36[/C][C]0.127886[/C][C]1.2465[/C][C]0.107827[/C][/ROW]
[ROW][C]37[/C][C]-0.060004[/C][C]-0.5848[/C][C]0.280019[/C][/ROW]
[ROW][C]38[/C][C]-0.025914[/C][C]-0.2526[/C][C]0.400571[/C][/ROW]
[ROW][C]39[/C][C]-0.05541[/C][C]-0.5401[/C][C]0.295206[/C][/ROW]
[ROW][C]40[/C][C]-0.068288[/C][C]-0.6656[/C][C]0.253643[/C][/ROW]
[ROW][C]41[/C][C]0.015437[/C][C]0.1505[/C][C]0.440359[/C][/ROW]
[ROW][C]42[/C][C]-0.022022[/C][C]-0.2146[/C][C]0.415252[/C][/ROW]
[ROW][C]43[/C][C]-0.09221[/C][C]-0.8988[/C][C]0.185528[/C][/ROW]
[ROW][C]44[/C][C]-0.001108[/C][C]-0.0108[/C][C]0.495703[/C][/ROW]
[ROW][C]45[/C][C]-0.020737[/C][C]-0.2021[/C][C]0.420126[/C][/ROW]
[ROW][C]46[/C][C]-0.063183[/C][C]-0.6158[/C][C]0.269738[/C][/ROW]
[ROW][C]47[/C][C]-0.055961[/C][C]-0.5454[/C][C]0.293366[/C][/ROW]
[ROW][C]48[/C][C]0.061326[/C][C]0.5977[/C][C]0.275719[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32433&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32433&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	0.175534	1.7109	0.045182
2	-0.213013	-2.0762	0.020288
3	-0.080379	-0.7834	0.217658
4	-0.197943	-1.9293	0.028338
5	-0.006692	-0.0652	0.474066
6	-0.121627	-1.1855	0.119394
7	-0.057812	-0.5635	0.287216
8	-0.263221	-2.5656	0.005933
9	-0.08234	-0.8025	0.21212
10	-0.325551	-3.1731	0.001016
11	-0.045555	-0.444	0.329021
12	0.437826	4.2674	2.3e-05
13	-0.11474	-1.1184	0.133119
14	0.066981	0.6529	0.257714
15	0.027227	0.2654	0.395648
16	0.023501	0.2291	0.409659
17	-0.033764	-0.3291	0.371404
18	0.014417	0.1405	0.444273
19	-0.052001	-0.5068	0.306718
20	0.001253	0.0122	0.495141
21	-0.064664	-0.6303	0.265018
22	0.100556	0.9801	0.164764
23	0.11356	1.1068	0.135579
24	0.055559	0.5415	0.294709
25	-0.104507	-1.0186	0.155487
26	0.056975	0.5553	0.289988
27	-0.088233	-0.86	0.195979
28	-0.025419	-0.2478	0.402428
29	-0.076396	-0.7446	0.229172
30	-0.055009	-0.5362	0.296551
31	-0.004807	-0.0469	0.481363
32	0.013673	0.1333	0.447132
33	-0.135094	-1.3167	0.095547
34	-0.030145	-0.2938	0.38477
35	-0.073349	-0.7149	0.238206
36	0.127886	1.2465	0.107827
37	-0.060004	-0.5848	0.280019
38	-0.025914	-0.2526	0.400571
39	-0.05541	-0.5401	0.295206
40	-0.068288	-0.6656	0.253643
41	0.015437	0.1505	0.440359
42	-0.022022	-0.2146	0.415252
43	-0.09221	-0.8988	0.185528
44	-0.001108	-0.0108	0.495703
45	-0.020737	-0.2021	0.420126
46	-0.063183	-0.6158	0.269738
47	-0.055961	-0.5454	0.293366
48	0.061326	0.5977	0.275719

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

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