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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 28 Nov 2007 10:10:17 -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/2007/Nov/28/t11962692081xw3i6yoewefut7.htm/, Retrieved Thu, 02 May 2024 04:09:38 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7159, Retrieved Thu, 02 May 2024 04:09:38 +0000

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User-defined keywords

bridome

Estimated Impact

160

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

-       [(Partial) Autocorrelation Function] [workshop3] [2007-11-28 17:10:17] [9cd804c1ac16035a4cb2da1c6dfdb61e] [Current]

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Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7159&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7159&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7159&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	10.2956	0
1	0.820639	8.449	0
2	0.730496	7.5209	0
3	0.765574	7.8821	0
4	0.663879	6.835	0
5	0.672805	6.927	0
6	0.747273	7.6936	0
7	0.617763	6.3603	0
8	0.542731	5.5878	0
9	0.561468	5.7807	0
10	0.443	4.561	7e-06
11	0.474703	4.8874	2e-06
12	0.57967	5.9681	0
13	0.443292	4.564	7e-06
14	0.360966	3.7164	0.000162
15	0.380005	3.9124	8.1e-05
16	0.286937	2.9542	0.001931
17	0.298856	3.0769	0.001331
18	0.366412	3.7724	0.000133
19	0.254749	2.6228	0.005003
20	0.20161	2.0757	0.020171
21	0.214272	2.2061	0.014769
22	0.12974	1.3358	0.092245
23	0.165849	1.7075	0.045326
24	0.254712	2.6224	0.005008
25	0.163309	1.6814	0.047818
26	0.107266	1.1044	0.135966
27	0.129808	1.3365	0.092131
28	0.066607	0.6858	0.247181
29	0.089811	0.9247	0.17862
30	0.148916	1.5332	0.064105
31	0.077069	0.7935	0.214636
32	0.031845	0.3279	0.371829
33	0.043506	0.4479	0.32756
34	-0.028802	-0.2965	0.6163
35	-0.001782	-0.0183	0.507301
36	0.079308	0.8165	0.208014
37	0.012159	0.1252	0.450307
38	-0.04193	-0.4317	0.666582
39	-0.020699	-0.2131	0.584173
40	-0.062669	-0.6452	0.739908
41	-0.051902	-0.5344	0.702895
42	0.00346	0.0356	0.485827
43	-0.045226	-0.4656	0.678783
44	-0.077863	-0.8016	0.787724
45	-0.058639	-0.6037	0.726342
46	-0.107298	-1.1047	0.864105
47	-0.088326	-0.9094	0.817392

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 10.2956 & 0 \tabularnewline
1 & 0.820639 & 8.449 & 0 \tabularnewline
2 & 0.730496 & 7.5209 & 0 \tabularnewline
3 & 0.765574 & 7.8821 & 0 \tabularnewline
4 & 0.663879 & 6.835 & 0 \tabularnewline
5 & 0.672805 & 6.927 & 0 \tabularnewline
6 & 0.747273 & 7.6936 & 0 \tabularnewline
7 & 0.617763 & 6.3603 & 0 \tabularnewline
8 & 0.542731 & 5.5878 & 0 \tabularnewline
9 & 0.561468 & 5.7807 & 0 \tabularnewline
10 & 0.443 & 4.561 & 7e-06 \tabularnewline
11 & 0.474703 & 4.8874 & 2e-06 \tabularnewline
12 & 0.57967 & 5.9681 & 0 \tabularnewline
13 & 0.443292 & 4.564 & 7e-06 \tabularnewline
14 & 0.360966 & 3.7164 & 0.000162 \tabularnewline
15 & 0.380005 & 3.9124 & 8.1e-05 \tabularnewline
16 & 0.286937 & 2.9542 & 0.001931 \tabularnewline
17 & 0.298856 & 3.0769 & 0.001331 \tabularnewline
18 & 0.366412 & 3.7724 & 0.000133 \tabularnewline
19 & 0.254749 & 2.6228 & 0.005003 \tabularnewline
20 & 0.20161 & 2.0757 & 0.020171 \tabularnewline
21 & 0.214272 & 2.2061 & 0.014769 \tabularnewline
22 & 0.12974 & 1.3358 & 0.092245 \tabularnewline
23 & 0.165849 & 1.7075 & 0.045326 \tabularnewline
24 & 0.254712 & 2.6224 & 0.005008 \tabularnewline
25 & 0.163309 & 1.6814 & 0.047818 \tabularnewline
26 & 0.107266 & 1.1044 & 0.135966 \tabularnewline
27 & 0.129808 & 1.3365 & 0.092131 \tabularnewline
28 & 0.066607 & 0.6858 & 0.247181 \tabularnewline
29 & 0.089811 & 0.9247 & 0.17862 \tabularnewline
30 & 0.148916 & 1.5332 & 0.064105 \tabularnewline
31 & 0.077069 & 0.7935 & 0.214636 \tabularnewline
32 & 0.031845 & 0.3279 & 0.371829 \tabularnewline
33 & 0.043506 & 0.4479 & 0.32756 \tabularnewline
34 & -0.028802 & -0.2965 & 0.6163 \tabularnewline
35 & -0.001782 & -0.0183 & 0.507301 \tabularnewline
36 & 0.079308 & 0.8165 & 0.208014 \tabularnewline
37 & 0.012159 & 0.1252 & 0.450307 \tabularnewline
38 & -0.04193 & -0.4317 & 0.666582 \tabularnewline
39 & -0.020699 & -0.2131 & 0.584173 \tabularnewline
40 & -0.062669 & -0.6452 & 0.739908 \tabularnewline
41 & -0.051902 & -0.5344 & 0.702895 \tabularnewline
42 & 0.00346 & 0.0356 & 0.485827 \tabularnewline
43 & -0.045226 & -0.4656 & 0.678783 \tabularnewline
44 & -0.077863 & -0.8016 & 0.787724 \tabularnewline
45 & -0.058639 & -0.6037 & 0.726342 \tabularnewline
46 & -0.107298 & -1.1047 & 0.864105 \tabularnewline
47 & -0.088326 & -0.9094 & 0.817392 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7159&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]0[/C][C]1[/C][C]10.2956[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.820639[/C][C]8.449[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.730496[/C][C]7.5209[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.765574[/C][C]7.8821[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.663879[/C][C]6.835[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.672805[/C][C]6.927[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.747273[/C][C]7.6936[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.617763[/C][C]6.3603[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.542731[/C][C]5.5878[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.561468[/C][C]5.7807[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.443[/C][C]4.561[/C][C]7e-06[/C][/ROW]
[ROW][C]11[/C][C]0.474703[/C][C]4.8874[/C][C]2e-06[/C][/ROW]
[ROW][C]12[/C][C]0.57967[/C][C]5.9681[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.443292[/C][C]4.564[/C][C]7e-06[/C][/ROW]
[ROW][C]14[/C][C]0.360966[/C][C]3.7164[/C][C]0.000162[/C][/ROW]
[ROW][C]15[/C][C]0.380005[/C][C]3.9124[/C][C]8.1e-05[/C][/ROW]
[ROW][C]16[/C][C]0.286937[/C][C]2.9542[/C][C]0.001931[/C][/ROW]
[ROW][C]17[/C][C]0.298856[/C][C]3.0769[/C][C]0.001331[/C][/ROW]
[ROW][C]18[/C][C]0.366412[/C][C]3.7724[/C][C]0.000133[/C][/ROW]
[ROW][C]19[/C][C]0.254749[/C][C]2.6228[/C][C]0.005003[/C][/ROW]
[ROW][C]20[/C][C]0.20161[/C][C]2.0757[/C][C]0.020171[/C][/ROW]
[ROW][C]21[/C][C]0.214272[/C][C]2.2061[/C][C]0.014769[/C][/ROW]
[ROW][C]22[/C][C]0.12974[/C][C]1.3358[/C][C]0.092245[/C][/ROW]
[ROW][C]23[/C][C]0.165849[/C][C]1.7075[/C][C]0.045326[/C][/ROW]
[ROW][C]24[/C][C]0.254712[/C][C]2.6224[/C][C]0.005008[/C][/ROW]
[ROW][C]25[/C][C]0.163309[/C][C]1.6814[/C][C]0.047818[/C][/ROW]
[ROW][C]26[/C][C]0.107266[/C][C]1.1044[/C][C]0.135966[/C][/ROW]
[ROW][C]27[/C][C]0.129808[/C][C]1.3365[/C][C]0.092131[/C][/ROW]
[ROW][C]28[/C][C]0.066607[/C][C]0.6858[/C][C]0.247181[/C][/ROW]
[ROW][C]29[/C][C]0.089811[/C][C]0.9247[/C][C]0.17862[/C][/ROW]
[ROW][C]30[/C][C]0.148916[/C][C]1.5332[/C][C]0.064105[/C][/ROW]
[ROW][C]31[/C][C]0.077069[/C][C]0.7935[/C][C]0.214636[/C][/ROW]
[ROW][C]32[/C][C]0.031845[/C][C]0.3279[/C][C]0.371829[/C][/ROW]
[ROW][C]33[/C][C]0.043506[/C][C]0.4479[/C][C]0.32756[/C][/ROW]
[ROW][C]34[/C][C]-0.028802[/C][C]-0.2965[/C][C]0.6163[/C][/ROW]
[ROW][C]35[/C][C]-0.001782[/C][C]-0.0183[/C][C]0.507301[/C][/ROW]
[ROW][C]36[/C][C]0.079308[/C][C]0.8165[/C][C]0.208014[/C][/ROW]
[ROW][C]37[/C][C]0.012159[/C][C]0.1252[/C][C]0.450307[/C][/ROW]
[ROW][C]38[/C][C]-0.04193[/C][C]-0.4317[/C][C]0.666582[/C][/ROW]
[ROW][C]39[/C][C]-0.020699[/C][C]-0.2131[/C][C]0.584173[/C][/ROW]
[ROW][C]40[/C][C]-0.062669[/C][C]-0.6452[/C][C]0.739908[/C][/ROW]
[ROW][C]41[/C][C]-0.051902[/C][C]-0.5344[/C][C]0.702895[/C][/ROW]
[ROW][C]42[/C][C]0.00346[/C][C]0.0356[/C][C]0.485827[/C][/ROW]
[ROW][C]43[/C][C]-0.045226[/C][C]-0.4656[/C][C]0.678783[/C][/ROW]
[ROW][C]44[/C][C]-0.077863[/C][C]-0.8016[/C][C]0.787724[/C][/ROW]
[ROW][C]45[/C][C]-0.058639[/C][C]-0.6037[/C][C]0.726342[/C][/ROW]
[ROW][C]46[/C][C]-0.107298[/C][C]-1.1047[/C][C]0.864105[/C][/ROW]
[ROW][C]47[/C][C]-0.088326[/C][C]-0.9094[/C][C]0.817392[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7159&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7159&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
0	1	10.2956	0
1	0.820639	8.449	0
2	0.730496	7.5209	0
3	0.765574	7.8821	0
4	0.663879	6.835	0
5	0.672805	6.927	0
6	0.747273	7.6936	0
7	0.617763	6.3603	0
8	0.542731	5.5878	0
9	0.561468	5.7807	0
10	0.443	4.561	7e-06
11	0.474703	4.8874	2e-06
12	0.57967	5.9681	0
13	0.443292	4.564	7e-06
14	0.360966	3.7164	0.000162
15	0.380005	3.9124	8.1e-05
16	0.286937	2.9542	0.001931
17	0.298856	3.0769	0.001331
18	0.366412	3.7724	0.000133
19	0.254749	2.6228	0.005003
20	0.20161	2.0757	0.020171
21	0.214272	2.2061	0.014769
22	0.12974	1.3358	0.092245
23	0.165849	1.7075	0.045326
24	0.254712	2.6224	0.005008
25	0.163309	1.6814	0.047818
26	0.107266	1.1044	0.135966
27	0.129808	1.3365	0.092131
28	0.066607	0.6858	0.247181
29	0.089811	0.9247	0.17862
30	0.148916	1.5332	0.064105
31	0.077069	0.7935	0.214636
32	0.031845	0.3279	0.371829
33	0.043506	0.4479	0.32756
34	-0.028802	-0.2965	0.6163
35	-0.001782	-0.0183	0.507301
36	0.079308	0.8165	0.208014
37	0.012159	0.1252	0.450307
38	-0.04193	-0.4317	0.666582
39	-0.020699	-0.2131	0.584173
40	-0.062669	-0.6452	0.739908
41	-0.051902	-0.5344	0.702895
42	0.00346	0.0356	0.485827
43	-0.045226	-0.4656	0.678783
44	-0.077863	-0.8016	0.787724
45	-0.058639	-0.6037	0.726342
46	-0.107298	-1.1047	0.864105
47	-0.088326	-0.9094	0.817392

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.820639	8.449	0
1	0.174699	1.7986	0.037461
2	0.402617	4.1452	3.4e-05
3	-0.224692	-2.3133	0.988683
4	0.366624	3.7746	0.000132
5	0.17069	1.7574	0.040871
6	-0.30724	-3.1632	0.998982
7	-0.104562	-1.0765	0.857933
8	0.00634	0.0653	0.474037
9	-0.188512	-1.9408	0.972534
10	0.344523	3.5471	0.000291
11	0.16372	1.6856	0.047407
12	-0.299261	-3.0811	0.998686
13	-0.178459	-1.8373	0.96552
14	0.041478	0.427	0.335107
15	0.092162	0.9489	0.172423
16	0.020727	0.2134	0.415712
17	-0.118886	-1.224	0.888168
18	-0.060487	-0.6227	0.732606
19	0.017244	0.1775	0.429714
20	0.053059	0.5463	0.293011
21	0.147162	1.5151	0.066358
22	0.012312	0.1268	0.449686
23	-0.076879	-0.7915	0.784796
24	-0.034206	-0.3522	0.637295
25	-0.026357	-0.2714	0.60668
26	0.088876	0.915	0.181126
27	0.006196	0.0638	0.47463
28	-0.092168	-0.9489	0.827593
29	-0.113381	-1.1673	0.877152
30	0.077816	0.8012	0.212414
31	-0.011713	-0.1206	0.547878
32	0.089035	0.9167	0.180698
33	-0.159243	-1.6395	0.947964
34	0.000616	0.0063	0.497476
35	0.055241	0.5687	0.285369
36	0.043764	0.4506	0.326607
37	-0.092927	-0.9567	0.829562
38	0.05202	0.5356	0.296685
39	-0.050269	-0.5176	0.697075
40	0.00037	0.0038	0.498482
41	-0.048763	-0.502	0.69166
42	0.081233	0.8363	0.20242
43	0.002694	0.0277	0.488964
44	0.025993	0.2676	0.394758
45	-0.03858	-0.3972	0.653993
46	0.049361	0.5082	0.306183
47	-0.020691	-0.213	0.584143

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.820639 & 8.449 & 0 \tabularnewline
1 & 0.174699 & 1.7986 & 0.037461 \tabularnewline
2 & 0.402617 & 4.1452 & 3.4e-05 \tabularnewline
3 & -0.224692 & -2.3133 & 0.988683 \tabularnewline
4 & 0.366624 & 3.7746 & 0.000132 \tabularnewline
5 & 0.17069 & 1.7574 & 0.040871 \tabularnewline
6 & -0.30724 & -3.1632 & 0.998982 \tabularnewline
7 & -0.104562 & -1.0765 & 0.857933 \tabularnewline
8 & 0.00634 & 0.0653 & 0.474037 \tabularnewline
9 & -0.188512 & -1.9408 & 0.972534 \tabularnewline
10 & 0.344523 & 3.5471 & 0.000291 \tabularnewline
11 & 0.16372 & 1.6856 & 0.047407 \tabularnewline
12 & -0.299261 & -3.0811 & 0.998686 \tabularnewline
13 & -0.178459 & -1.8373 & 0.96552 \tabularnewline
14 & 0.041478 & 0.427 & 0.335107 \tabularnewline
15 & 0.092162 & 0.9489 & 0.172423 \tabularnewline
16 & 0.020727 & 0.2134 & 0.415712 \tabularnewline
17 & -0.118886 & -1.224 & 0.888168 \tabularnewline
18 & -0.060487 & -0.6227 & 0.732606 \tabularnewline
19 & 0.017244 & 0.1775 & 0.429714 \tabularnewline
20 & 0.053059 & 0.5463 & 0.293011 \tabularnewline
21 & 0.147162 & 1.5151 & 0.066358 \tabularnewline
22 & 0.012312 & 0.1268 & 0.449686 \tabularnewline
23 & -0.076879 & -0.7915 & 0.784796 \tabularnewline
24 & -0.034206 & -0.3522 & 0.637295 \tabularnewline
25 & -0.026357 & -0.2714 & 0.60668 \tabularnewline
26 & 0.088876 & 0.915 & 0.181126 \tabularnewline
27 & 0.006196 & 0.0638 & 0.47463 \tabularnewline
28 & -0.092168 & -0.9489 & 0.827593 \tabularnewline
29 & -0.113381 & -1.1673 & 0.877152 \tabularnewline
30 & 0.077816 & 0.8012 & 0.212414 \tabularnewline
31 & -0.011713 & -0.1206 & 0.547878 \tabularnewline
32 & 0.089035 & 0.9167 & 0.180698 \tabularnewline
33 & -0.159243 & -1.6395 & 0.947964 \tabularnewline
34 & 0.000616 & 0.0063 & 0.497476 \tabularnewline
35 & 0.055241 & 0.5687 & 0.285369 \tabularnewline
36 & 0.043764 & 0.4506 & 0.326607 \tabularnewline
37 & -0.092927 & -0.9567 & 0.829562 \tabularnewline
38 & 0.05202 & 0.5356 & 0.296685 \tabularnewline
39 & -0.050269 & -0.5176 & 0.697075 \tabularnewline
40 & 0.00037 & 0.0038 & 0.498482 \tabularnewline
41 & -0.048763 & -0.502 & 0.69166 \tabularnewline
42 & 0.081233 & 0.8363 & 0.20242 \tabularnewline
43 & 0.002694 & 0.0277 & 0.488964 \tabularnewline
44 & 0.025993 & 0.2676 & 0.394758 \tabularnewline
45 & -0.03858 & -0.3972 & 0.653993 \tabularnewline
46 & 0.049361 & 0.5082 & 0.306183 \tabularnewline
47 & -0.020691 & -0.213 & 0.584143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7159&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]0[/C][C]0.820639[/C][C]8.449[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.174699[/C][C]1.7986[/C][C]0.037461[/C][/ROW]
[ROW][C]2[/C][C]0.402617[/C][C]4.1452[/C][C]3.4e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.224692[/C][C]-2.3133[/C][C]0.988683[/C][/ROW]
[ROW][C]4[/C][C]0.366624[/C][C]3.7746[/C][C]0.000132[/C][/ROW]
[ROW][C]5[/C][C]0.17069[/C][C]1.7574[/C][C]0.040871[/C][/ROW]
[ROW][C]6[/C][C]-0.30724[/C][C]-3.1632[/C][C]0.998982[/C][/ROW]
[ROW][C]7[/C][C]-0.104562[/C][C]-1.0765[/C][C]0.857933[/C][/ROW]
[ROW][C]8[/C][C]0.00634[/C][C]0.0653[/C][C]0.474037[/C][/ROW]
[ROW][C]9[/C][C]-0.188512[/C][C]-1.9408[/C][C]0.972534[/C][/ROW]
[ROW][C]10[/C][C]0.344523[/C][C]3.5471[/C][C]0.000291[/C][/ROW]
[ROW][C]11[/C][C]0.16372[/C][C]1.6856[/C][C]0.047407[/C][/ROW]
[ROW][C]12[/C][C]-0.299261[/C][C]-3.0811[/C][C]0.998686[/C][/ROW]
[ROW][C]13[/C][C]-0.178459[/C][C]-1.8373[/C][C]0.96552[/C][/ROW]
[ROW][C]14[/C][C]0.041478[/C][C]0.427[/C][C]0.335107[/C][/ROW]
[ROW][C]15[/C][C]0.092162[/C][C]0.9489[/C][C]0.172423[/C][/ROW]
[ROW][C]16[/C][C]0.020727[/C][C]0.2134[/C][C]0.415712[/C][/ROW]
[ROW][C]17[/C][C]-0.118886[/C][C]-1.224[/C][C]0.888168[/C][/ROW]
[ROW][C]18[/C][C]-0.060487[/C][C]-0.6227[/C][C]0.732606[/C][/ROW]
[ROW][C]19[/C][C]0.017244[/C][C]0.1775[/C][C]0.429714[/C][/ROW]
[ROW][C]20[/C][C]0.053059[/C][C]0.5463[/C][C]0.293011[/C][/ROW]
[ROW][C]21[/C][C]0.147162[/C][C]1.5151[/C][C]0.066358[/C][/ROW]
[ROW][C]22[/C][C]0.012312[/C][C]0.1268[/C][C]0.449686[/C][/ROW]
[ROW][C]23[/C][C]-0.076879[/C][C]-0.7915[/C][C]0.784796[/C][/ROW]
[ROW][C]24[/C][C]-0.034206[/C][C]-0.3522[/C][C]0.637295[/C][/ROW]
[ROW][C]25[/C][C]-0.026357[/C][C]-0.2714[/C][C]0.60668[/C][/ROW]
[ROW][C]26[/C][C]0.088876[/C][C]0.915[/C][C]0.181126[/C][/ROW]
[ROW][C]27[/C][C]0.006196[/C][C]0.0638[/C][C]0.47463[/C][/ROW]
[ROW][C]28[/C][C]-0.092168[/C][C]-0.9489[/C][C]0.827593[/C][/ROW]
[ROW][C]29[/C][C]-0.113381[/C][C]-1.1673[/C][C]0.877152[/C][/ROW]
[ROW][C]30[/C][C]0.077816[/C][C]0.8012[/C][C]0.212414[/C][/ROW]
[ROW][C]31[/C][C]-0.011713[/C][C]-0.1206[/C][C]0.547878[/C][/ROW]
[ROW][C]32[/C][C]0.089035[/C][C]0.9167[/C][C]0.180698[/C][/ROW]
[ROW][C]33[/C][C]-0.159243[/C][C]-1.6395[/C][C]0.947964[/C][/ROW]
[ROW][C]34[/C][C]0.000616[/C][C]0.0063[/C][C]0.497476[/C][/ROW]
[ROW][C]35[/C][C]0.055241[/C][C]0.5687[/C][C]0.285369[/C][/ROW]
[ROW][C]36[/C][C]0.043764[/C][C]0.4506[/C][C]0.326607[/C][/ROW]
[ROW][C]37[/C][C]-0.092927[/C][C]-0.9567[/C][C]0.829562[/C][/ROW]
[ROW][C]38[/C][C]0.05202[/C][C]0.5356[/C][C]0.296685[/C][/ROW]
[ROW][C]39[/C][C]-0.050269[/C][C]-0.5176[/C][C]0.697075[/C][/ROW]
[ROW][C]40[/C][C]0.00037[/C][C]0.0038[/C][C]0.498482[/C][/ROW]
[ROW][C]41[/C][C]-0.048763[/C][C]-0.502[/C][C]0.69166[/C][/ROW]
[ROW][C]42[/C][C]0.081233[/C][C]0.8363[/C][C]0.20242[/C][/ROW]
[ROW][C]43[/C][C]0.002694[/C][C]0.0277[/C][C]0.488964[/C][/ROW]
[ROW][C]44[/C][C]0.025993[/C][C]0.2676[/C][C]0.394758[/C][/ROW]
[ROW][C]45[/C][C]-0.03858[/C][C]-0.3972[/C][C]0.653993[/C][/ROW]
[ROW][C]46[/C][C]0.049361[/C][C]0.5082[/C][C]0.306183[/C][/ROW]
[ROW][C]47[/C][C]-0.020691[/C][C]-0.213[/C][C]0.584143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7159&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7159&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
0	0.820639	8.449	0
1	0.174699	1.7986	0.037461
2	0.402617	4.1452	3.4e-05
3	-0.224692	-2.3133	0.988683
4	0.366624	3.7746	0.000132
5	0.17069	1.7574	0.040871
6	-0.30724	-3.1632	0.998982
7	-0.104562	-1.0765	0.857933
8	0.00634	0.0653	0.474037
9	-0.188512	-1.9408	0.972534
10	0.344523	3.5471	0.000291
11	0.16372	1.6856	0.047407
12	-0.299261	-3.0811	0.998686
13	-0.178459	-1.8373	0.96552
14	0.041478	0.427	0.335107
15	0.092162	0.9489	0.172423
16	0.020727	0.2134	0.415712
17	-0.118886	-1.224	0.888168
18	-0.060487	-0.6227	0.732606
19	0.017244	0.1775	0.429714
20	0.053059	0.5463	0.293011
21	0.147162	1.5151	0.066358
22	0.012312	0.1268	0.449686
23	-0.076879	-0.7915	0.784796
24	-0.034206	-0.3522	0.637295
25	-0.026357	-0.2714	0.60668
26	0.088876	0.915	0.181126
27	0.006196	0.0638	0.47463
28	-0.092168	-0.9489	0.827593
29	-0.113381	-1.1673	0.877152
30	0.077816	0.8012	0.212414
31	-0.011713	-0.1206	0.547878
32	0.089035	0.9167	0.180698
33	-0.159243	-1.6395	0.947964
34	0.000616	0.0063	0.497476
35	0.055241	0.5687	0.285369
36	0.043764	0.4506	0.326607
37	-0.092927	-0.9567	0.829562
38	0.05202	0.5356	0.296685
39	-0.050269	-0.5176	0.697075
40	0.00037	0.0038	0.498482
41	-0.048763	-0.502	0.69166
42	0.081233	0.8363	0.20242
43	0.002694	0.0277	0.488964
44	0.025993	0.2676	0.394758
45	-0.03858	-0.3972	0.653993
46	0.049361	0.5082	0.306183
47	-0.020691	-0.213	0.584143

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 1:par1) {
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(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-1,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(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