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Author

*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 16 Dec 2007 09:32:14 -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/2007/Dec/16/t1197821750vxei217xcklkfjz.htm/, Retrieved Thu, 02 May 2024 02:51:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4213, Retrieved Thu, 02 May 2024 02:51:17 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

d=1 D=0 nieuwe personenwagens

Estimated Impact

198

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

-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-16 16:32:14] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]

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Dataseries X:

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Histogram

Boxplots

0,2
0,8
1,2
4,5
0,4
5,9
6,5
12,8
4,2
-3,3
-12,5
-16,3
-10,5
-11,8
-11,4
-17,7
-17,3
-18,6
-17,9
-21,4
-19,4
-15,5
-7,7
-0,7
-1,6
1,4
0,7
9,5
1,4
4,1
6,6
18,4
16,9
9,2
-4,3
-5,9
-7,7
-5,4
-2,3
-4,8
2,3
-5,2
-10
-17,1
-14,4
-3,9
3,7
6,5
0,9
-4,1
-7
-12,2
-2,5
4,4
13,7
12,3
13,4
2,2
1,7
-7,2
-4,8
-2,9
-2,4
-2,5
-5,3
-7,1
-8
-8,9
-7,7
-1,1
4
9,6
10,9
13

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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4213&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4213&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4213&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	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	8.544	0
1	0.215169	1.8384	0.035035
2	0.153704	1.3132	0.096606
3	-0.456506	-3.9004	0.999894
4	-0.191758	-1.6384	0.947177
5	-0.145984	-1.2473	0.891861
6	0.031728	0.2711	0.393544
7	0.154062	1.3163	0.096095
8	0.219404	1.8746	0.032425
9	0.260283	2.2239	0.014626
10	-0.12638	-1.0798	0.858106
11	-0.300342	-2.5661	0.993832
12	-0.553781	-4.7315	0.999995
13	-0.168942	-1.4434	0.923413
14	-0.024465	-0.209	0.582495
15	0.258726	2.2106	0.0151
16	0.134232	1.1469	0.127589
17	0.067929	0.5804	0.281722
18	0.004759	0.0407	0.483837
19	-0.142639	-1.2187	0.88656
20	-0.133471	-1.1404	0.871071
21	-0.166749	-1.4247	0.920748
22	0.021691	0.1853	0.426742
23	0.217576	1.859	0.033531
24	0.294872	2.5194	0.006972
25	0.210495	1.7985	0.038119
26	0.017973	0.1536	0.439188
27	-0.108928	-0.9307	0.822456
28	-0.141353	-1.2077	0.884473
29	-0.015442	-0.1319	0.552301
30	-0.035559	-0.3038	0.618935
31	0.129831	1.1093	0.135476
32	0.042042	0.3592	0.360239
33	0.152892	1.3063	0.097774
34	-0.043491	-0.3716	0.644362
35	-0.12273	-1.0486	0.851091
36	-0.244502	-2.089	0.979904
37	-0.196897	-1.6823	0.951607
38	9.9e-05	8e-04	0.499663
39	0.040074	0.3424	0.36652
40	0.162533	1.3887	0.084575
41	0.010681	0.0913	0.463767
42	0.037128	0.3172	0.375991
43	-0.096272	-0.8226	0.793279
44	-0.061042	-0.5215	0.698217
45	-0.070904	-0.6058	0.726737
46	0.027251	0.2328	0.408272
47	0.124375	1.0627	0.14572

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.544 & 0 \tabularnewline
1 & 0.215169 & 1.8384 & 0.035035 \tabularnewline
2 & 0.153704 & 1.3132 & 0.096606 \tabularnewline
3 & -0.456506 & -3.9004 & 0.999894 \tabularnewline
4 & -0.191758 & -1.6384 & 0.947177 \tabularnewline
5 & -0.145984 & -1.2473 & 0.891861 \tabularnewline
6 & 0.031728 & 0.2711 & 0.393544 \tabularnewline
7 & 0.154062 & 1.3163 & 0.096095 \tabularnewline
8 & 0.219404 & 1.8746 & 0.032425 \tabularnewline
9 & 0.260283 & 2.2239 & 0.014626 \tabularnewline
10 & -0.12638 & -1.0798 & 0.858106 \tabularnewline
11 & -0.300342 & -2.5661 & 0.993832 \tabularnewline
12 & -0.553781 & -4.7315 & 0.999995 \tabularnewline
13 & -0.168942 & -1.4434 & 0.923413 \tabularnewline
14 & -0.024465 & -0.209 & 0.582495 \tabularnewline
15 & 0.258726 & 2.2106 & 0.0151 \tabularnewline
16 & 0.134232 & 1.1469 & 0.127589 \tabularnewline
17 & 0.067929 & 0.5804 & 0.281722 \tabularnewline
18 & 0.004759 & 0.0407 & 0.483837 \tabularnewline
19 & -0.142639 & -1.2187 & 0.88656 \tabularnewline
20 & -0.133471 & -1.1404 & 0.871071 \tabularnewline
21 & -0.166749 & -1.4247 & 0.920748 \tabularnewline
22 & 0.021691 & 0.1853 & 0.426742 \tabularnewline
23 & 0.217576 & 1.859 & 0.033531 \tabularnewline
24 & 0.294872 & 2.5194 & 0.006972 \tabularnewline
25 & 0.210495 & 1.7985 & 0.038119 \tabularnewline
26 & 0.017973 & 0.1536 & 0.439188 \tabularnewline
27 & -0.108928 & -0.9307 & 0.822456 \tabularnewline
28 & -0.141353 & -1.2077 & 0.884473 \tabularnewline
29 & -0.015442 & -0.1319 & 0.552301 \tabularnewline
30 & -0.035559 & -0.3038 & 0.618935 \tabularnewline
31 & 0.129831 & 1.1093 & 0.135476 \tabularnewline
32 & 0.042042 & 0.3592 & 0.360239 \tabularnewline
33 & 0.152892 & 1.3063 & 0.097774 \tabularnewline
34 & -0.043491 & -0.3716 & 0.644362 \tabularnewline
35 & -0.12273 & -1.0486 & 0.851091 \tabularnewline
36 & -0.244502 & -2.089 & 0.979904 \tabularnewline
37 & -0.196897 & -1.6823 & 0.951607 \tabularnewline
38 & 9.9e-05 & 8e-04 & 0.499663 \tabularnewline
39 & 0.040074 & 0.3424 & 0.36652 \tabularnewline
40 & 0.162533 & 1.3887 & 0.084575 \tabularnewline
41 & 0.010681 & 0.0913 & 0.463767 \tabularnewline
42 & 0.037128 & 0.3172 & 0.375991 \tabularnewline
43 & -0.096272 & -0.8226 & 0.793279 \tabularnewline
44 & -0.061042 & -0.5215 & 0.698217 \tabularnewline
45 & -0.070904 & -0.6058 & 0.726737 \tabularnewline
46 & 0.027251 & 0.2328 & 0.408272 \tabularnewline
47 & 0.124375 & 1.0627 & 0.14572 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4213&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]8.544[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.215169[/C][C]1.8384[/C][C]0.035035[/C][/ROW]
[ROW][C]2[/C][C]0.153704[/C][C]1.3132[/C][C]0.096606[/C][/ROW]
[ROW][C]3[/C][C]-0.456506[/C][C]-3.9004[/C][C]0.999894[/C][/ROW]
[ROW][C]4[/C][C]-0.191758[/C][C]-1.6384[/C][C]0.947177[/C][/ROW]
[ROW][C]5[/C][C]-0.145984[/C][C]-1.2473[/C][C]0.891861[/C][/ROW]
[ROW][C]6[/C][C]0.031728[/C][C]0.2711[/C][C]0.393544[/C][/ROW]
[ROW][C]7[/C][C]0.154062[/C][C]1.3163[/C][C]0.096095[/C][/ROW]
[ROW][C]8[/C][C]0.219404[/C][C]1.8746[/C][C]0.032425[/C][/ROW]
[ROW][C]9[/C][C]0.260283[/C][C]2.2239[/C][C]0.014626[/C][/ROW]
[ROW][C]10[/C][C]-0.12638[/C][C]-1.0798[/C][C]0.858106[/C][/ROW]
[ROW][C]11[/C][C]-0.300342[/C][C]-2.5661[/C][C]0.993832[/C][/ROW]
[ROW][C]12[/C][C]-0.553781[/C][C]-4.7315[/C][C]0.999995[/C][/ROW]
[ROW][C]13[/C][C]-0.168942[/C][C]-1.4434[/C][C]0.923413[/C][/ROW]
[ROW][C]14[/C][C]-0.024465[/C][C]-0.209[/C][C]0.582495[/C][/ROW]
[ROW][C]15[/C][C]0.258726[/C][C]2.2106[/C][C]0.0151[/C][/ROW]
[ROW][C]16[/C][C]0.134232[/C][C]1.1469[/C][C]0.127589[/C][/ROW]
[ROW][C]17[/C][C]0.067929[/C][C]0.5804[/C][C]0.281722[/C][/ROW]
[ROW][C]18[/C][C]0.004759[/C][C]0.0407[/C][C]0.483837[/C][/ROW]
[ROW][C]19[/C][C]-0.142639[/C][C]-1.2187[/C][C]0.88656[/C][/ROW]
[ROW][C]20[/C][C]-0.133471[/C][C]-1.1404[/C][C]0.871071[/C][/ROW]
[ROW][C]21[/C][C]-0.166749[/C][C]-1.4247[/C][C]0.920748[/C][/ROW]
[ROW][C]22[/C][C]0.021691[/C][C]0.1853[/C][C]0.426742[/C][/ROW]
[ROW][C]23[/C][C]0.217576[/C][C]1.859[/C][C]0.033531[/C][/ROW]
[ROW][C]24[/C][C]0.294872[/C][C]2.5194[/C][C]0.006972[/C][/ROW]
[ROW][C]25[/C][C]0.210495[/C][C]1.7985[/C][C]0.038119[/C][/ROW]
[ROW][C]26[/C][C]0.017973[/C][C]0.1536[/C][C]0.439188[/C][/ROW]
[ROW][C]27[/C][C]-0.108928[/C][C]-0.9307[/C][C]0.822456[/C][/ROW]
[ROW][C]28[/C][C]-0.141353[/C][C]-1.2077[/C][C]0.884473[/C][/ROW]
[ROW][C]29[/C][C]-0.015442[/C][C]-0.1319[/C][C]0.552301[/C][/ROW]
[ROW][C]30[/C][C]-0.035559[/C][C]-0.3038[/C][C]0.618935[/C][/ROW]
[ROW][C]31[/C][C]0.129831[/C][C]1.1093[/C][C]0.135476[/C][/ROW]
[ROW][C]32[/C][C]0.042042[/C][C]0.3592[/C][C]0.360239[/C][/ROW]
[ROW][C]33[/C][C]0.152892[/C][C]1.3063[/C][C]0.097774[/C][/ROW]
[ROW][C]34[/C][C]-0.043491[/C][C]-0.3716[/C][C]0.644362[/C][/ROW]
[ROW][C]35[/C][C]-0.12273[/C][C]-1.0486[/C][C]0.851091[/C][/ROW]
[ROW][C]36[/C][C]-0.244502[/C][C]-2.089[/C][C]0.979904[/C][/ROW]
[ROW][C]37[/C][C]-0.196897[/C][C]-1.6823[/C][C]0.951607[/C][/ROW]
[ROW][C]38[/C][C]9.9e-05[/C][C]8e-04[/C][C]0.499663[/C][/ROW]
[ROW][C]39[/C][C]0.040074[/C][C]0.3424[/C][C]0.36652[/C][/ROW]
[ROW][C]40[/C][C]0.162533[/C][C]1.3887[/C][C]0.084575[/C][/ROW]
[ROW][C]41[/C][C]0.010681[/C][C]0.0913[/C][C]0.463767[/C][/ROW]
[ROW][C]42[/C][C]0.037128[/C][C]0.3172[/C][C]0.375991[/C][/ROW]
[ROW][C]43[/C][C]-0.096272[/C][C]-0.8226[/C][C]0.793279[/C][/ROW]
[ROW][C]44[/C][C]-0.061042[/C][C]-0.5215[/C][C]0.698217[/C][/ROW]
[ROW][C]45[/C][C]-0.070904[/C][C]-0.6058[/C][C]0.726737[/C][/ROW]
[ROW][C]46[/C][C]0.027251[/C][C]0.2328[/C][C]0.408272[/C][/ROW]
[ROW][C]47[/C][C]0.124375[/C][C]1.0627[/C][C]0.14572[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4213&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4213&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	8.544	0
1	0.215169	1.8384	0.035035
2	0.153704	1.3132	0.096606
3	-0.456506	-3.9004	0.999894
4	-0.191758	-1.6384	0.947177
5	-0.145984	-1.2473	0.891861
6	0.031728	0.2711	0.393544
7	0.154062	1.3163	0.096095
8	0.219404	1.8746	0.032425
9	0.260283	2.2239	0.014626
10	-0.12638	-1.0798	0.858106
11	-0.300342	-2.5661	0.993832
12	-0.553781	-4.7315	0.999995
13	-0.168942	-1.4434	0.923413
14	-0.024465	-0.209	0.582495
15	0.258726	2.2106	0.0151
16	0.134232	1.1469	0.127589
17	0.067929	0.5804	0.281722
18	0.004759	0.0407	0.483837
19	-0.142639	-1.2187	0.88656
20	-0.133471	-1.1404	0.871071
21	-0.166749	-1.4247	0.920748
22	0.021691	0.1853	0.426742
23	0.217576	1.859	0.033531
24	0.294872	2.5194	0.006972
25	0.210495	1.7985	0.038119
26	0.017973	0.1536	0.439188
27	-0.108928	-0.9307	0.822456
28	-0.141353	-1.2077	0.884473
29	-0.015442	-0.1319	0.552301
30	-0.035559	-0.3038	0.618935
31	0.129831	1.1093	0.135476
32	0.042042	0.3592	0.360239
33	0.152892	1.3063	0.097774
34	-0.043491	-0.3716	0.644362
35	-0.12273	-1.0486	0.851091
36	-0.244502	-2.089	0.979904
37	-0.196897	-1.6823	0.951607
38	9.9e-05	8e-04	0.499663
39	0.040074	0.3424	0.36652
40	0.162533	1.3887	0.084575
41	0.010681	0.0913	0.463767
42	0.037128	0.3172	0.375991
43	-0.096272	-0.8226	0.793279
44	-0.061042	-0.5215	0.698217
45	-0.070904	-0.6058	0.726737
46	0.027251	0.2328	0.408272
47	0.124375	1.0627	0.14572

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.215169	1.8384	0.035035
1	0.11262	0.9622	0.169556
2	-0.54172	-4.6285	0.999992
3	0.009935	0.0849	0.466294
4	0.124054	1.0599	0.146339
5	-0.245487	-2.0974	0.980291
6	0.153597	1.3123	0.096759
7	0.273157	2.3339	0.01118
8	0.039993	0.3417	0.366778
9	-0.351965	-3.0072	0.998193
10	-0.16827	-1.4377	0.922604
11	-0.229098	-1.9574	0.972939
12	-0.106263	-0.9079	0.816543
13	-0.08455	-0.7224	0.76382
14	-0.101952	-0.8711	0.806718
15	-0.051955	-0.4439	0.670789
16	-0.101404	-0.8664	0.805445
17	0.103129	0.8811	0.190568
18	-0.009028	-0.0771	0.530637
19	-0.054081	-0.4621	0.677298
20	0.045291	0.387	0.349952
21	-0.212715	-1.8174	0.963373
22	0.004557	0.0389	0.484525
23	0.070021	0.5983	0.275759
24	-0.019908	-0.1701	0.567298
25	0.012405	0.106	0.45794
26	0.010964	0.0937	0.462811
27	-0.028655	-0.2448	0.596361
28	0.129873	1.1096	0.135399
29	-0.058856	-0.5029	0.691713
30	0.002933	0.0251	0.490038
31	-0.015997	-0.1367	0.55417
32	-0.033501	-0.2862	0.612246
33	-0.040742	-0.3481	0.635616
34	-0.036216	-0.3094	0.62106
35	-0.038613	-0.3299	0.628792
36	-0.069687	-0.5954	0.723294
37	0.030079	0.257	0.398954
38	-0.058445	-0.4994	0.690485
39	0.06923	0.5915	0.278005
40	0.027344	0.2336	0.407964
41	-0.07106	-0.6071	0.727177
42	0.045302	0.3871	0.349917
43	-0.052617	-0.4496	0.672819
44	0.09519	0.8133	0.209345
45	-0.018204	-0.1555	0.561586
46	-0.055672	-0.4757	0.682131
47	-0.076108	-0.6503	0.741218

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.215169 & 1.8384 & 0.035035 \tabularnewline
1 & 0.11262 & 0.9622 & 0.169556 \tabularnewline
2 & -0.54172 & -4.6285 & 0.999992 \tabularnewline
3 & 0.009935 & 0.0849 & 0.466294 \tabularnewline
4 & 0.124054 & 1.0599 & 0.146339 \tabularnewline
5 & -0.245487 & -2.0974 & 0.980291 \tabularnewline
6 & 0.153597 & 1.3123 & 0.096759 \tabularnewline
7 & 0.273157 & 2.3339 & 0.01118 \tabularnewline
8 & 0.039993 & 0.3417 & 0.366778 \tabularnewline
9 & -0.351965 & -3.0072 & 0.998193 \tabularnewline
10 & -0.16827 & -1.4377 & 0.922604 \tabularnewline
11 & -0.229098 & -1.9574 & 0.972939 \tabularnewline
12 & -0.106263 & -0.9079 & 0.816543 \tabularnewline
13 & -0.08455 & -0.7224 & 0.76382 \tabularnewline
14 & -0.101952 & -0.8711 & 0.806718 \tabularnewline
15 & -0.051955 & -0.4439 & 0.670789 \tabularnewline
16 & -0.101404 & -0.8664 & 0.805445 \tabularnewline
17 & 0.103129 & 0.8811 & 0.190568 \tabularnewline
18 & -0.009028 & -0.0771 & 0.530637 \tabularnewline
19 & -0.054081 & -0.4621 & 0.677298 \tabularnewline
20 & 0.045291 & 0.387 & 0.349952 \tabularnewline
21 & -0.212715 & -1.8174 & 0.963373 \tabularnewline
22 & 0.004557 & 0.0389 & 0.484525 \tabularnewline
23 & 0.070021 & 0.5983 & 0.275759 \tabularnewline
24 & -0.019908 & -0.1701 & 0.567298 \tabularnewline
25 & 0.012405 & 0.106 & 0.45794 \tabularnewline
26 & 0.010964 & 0.0937 & 0.462811 \tabularnewline
27 & -0.028655 & -0.2448 & 0.596361 \tabularnewline
28 & 0.129873 & 1.1096 & 0.135399 \tabularnewline
29 & -0.058856 & -0.5029 & 0.691713 \tabularnewline
30 & 0.002933 & 0.0251 & 0.490038 \tabularnewline
31 & -0.015997 & -0.1367 & 0.55417 \tabularnewline
32 & -0.033501 & -0.2862 & 0.612246 \tabularnewline
33 & -0.040742 & -0.3481 & 0.635616 \tabularnewline
34 & -0.036216 & -0.3094 & 0.62106 \tabularnewline
35 & -0.038613 & -0.3299 & 0.628792 \tabularnewline
36 & -0.069687 & -0.5954 & 0.723294 \tabularnewline
37 & 0.030079 & 0.257 & 0.398954 \tabularnewline
38 & -0.058445 & -0.4994 & 0.690485 \tabularnewline
39 & 0.06923 & 0.5915 & 0.278005 \tabularnewline
40 & 0.027344 & 0.2336 & 0.407964 \tabularnewline
41 & -0.07106 & -0.6071 & 0.727177 \tabularnewline
42 & 0.045302 & 0.3871 & 0.349917 \tabularnewline
43 & -0.052617 & -0.4496 & 0.672819 \tabularnewline
44 & 0.09519 & 0.8133 & 0.209345 \tabularnewline
45 & -0.018204 & -0.1555 & 0.561586 \tabularnewline
46 & -0.055672 & -0.4757 & 0.682131 \tabularnewline
47 & -0.076108 & -0.6503 & 0.741218 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4213&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]0.215169[/C][C]1.8384[/C][C]0.035035[/C][/ROW]
[ROW][C]1[/C][C]0.11262[/C][C]0.9622[/C][C]0.169556[/C][/ROW]
[ROW][C]2[/C][C]-0.54172[/C][C]-4.6285[/C][C]0.999992[/C][/ROW]
[ROW][C]3[/C][C]0.009935[/C][C]0.0849[/C][C]0.466294[/C][/ROW]
[ROW][C]4[/C][C]0.124054[/C][C]1.0599[/C][C]0.146339[/C][/ROW]
[ROW][C]5[/C][C]-0.245487[/C][C]-2.0974[/C][C]0.980291[/C][/ROW]
[ROW][C]6[/C][C]0.153597[/C][C]1.3123[/C][C]0.096759[/C][/ROW]
[ROW][C]7[/C][C]0.273157[/C][C]2.3339[/C][C]0.01118[/C][/ROW]
[ROW][C]8[/C][C]0.039993[/C][C]0.3417[/C][C]0.366778[/C][/ROW]
[ROW][C]9[/C][C]-0.351965[/C][C]-3.0072[/C][C]0.998193[/C][/ROW]
[ROW][C]10[/C][C]-0.16827[/C][C]-1.4377[/C][C]0.922604[/C][/ROW]
[ROW][C]11[/C][C]-0.229098[/C][C]-1.9574[/C][C]0.972939[/C][/ROW]
[ROW][C]12[/C][C]-0.106263[/C][C]-0.9079[/C][C]0.816543[/C][/ROW]
[ROW][C]13[/C][C]-0.08455[/C][C]-0.7224[/C][C]0.76382[/C][/ROW]
[ROW][C]14[/C][C]-0.101952[/C][C]-0.8711[/C][C]0.806718[/C][/ROW]
[ROW][C]15[/C][C]-0.051955[/C][C]-0.4439[/C][C]0.670789[/C][/ROW]
[ROW][C]16[/C][C]-0.101404[/C][C]-0.8664[/C][C]0.805445[/C][/ROW]
[ROW][C]17[/C][C]0.103129[/C][C]0.8811[/C][C]0.190568[/C][/ROW]
[ROW][C]18[/C][C]-0.009028[/C][C]-0.0771[/C][C]0.530637[/C][/ROW]
[ROW][C]19[/C][C]-0.054081[/C][C]-0.4621[/C][C]0.677298[/C][/ROW]
[ROW][C]20[/C][C]0.045291[/C][C]0.387[/C][C]0.349952[/C][/ROW]
[ROW][C]21[/C][C]-0.212715[/C][C]-1.8174[/C][C]0.963373[/C][/ROW]
[ROW][C]22[/C][C]0.004557[/C][C]0.0389[/C][C]0.484525[/C][/ROW]
[ROW][C]23[/C][C]0.070021[/C][C]0.5983[/C][C]0.275759[/C][/ROW]
[ROW][C]24[/C][C]-0.019908[/C][C]-0.1701[/C][C]0.567298[/C][/ROW]
[ROW][C]25[/C][C]0.012405[/C][C]0.106[/C][C]0.45794[/C][/ROW]
[ROW][C]26[/C][C]0.010964[/C][C]0.0937[/C][C]0.462811[/C][/ROW]
[ROW][C]27[/C][C]-0.028655[/C][C]-0.2448[/C][C]0.596361[/C][/ROW]
[ROW][C]28[/C][C]0.129873[/C][C]1.1096[/C][C]0.135399[/C][/ROW]
[ROW][C]29[/C][C]-0.058856[/C][C]-0.5029[/C][C]0.691713[/C][/ROW]
[ROW][C]30[/C][C]0.002933[/C][C]0.0251[/C][C]0.490038[/C][/ROW]
[ROW][C]31[/C][C]-0.015997[/C][C]-0.1367[/C][C]0.55417[/C][/ROW]
[ROW][C]32[/C][C]-0.033501[/C][C]-0.2862[/C][C]0.612246[/C][/ROW]
[ROW][C]33[/C][C]-0.040742[/C][C]-0.3481[/C][C]0.635616[/C][/ROW]
[ROW][C]34[/C][C]-0.036216[/C][C]-0.3094[/C][C]0.62106[/C][/ROW]
[ROW][C]35[/C][C]-0.038613[/C][C]-0.3299[/C][C]0.628792[/C][/ROW]
[ROW][C]36[/C][C]-0.069687[/C][C]-0.5954[/C][C]0.723294[/C][/ROW]
[ROW][C]37[/C][C]0.030079[/C][C]0.257[/C][C]0.398954[/C][/ROW]
[ROW][C]38[/C][C]-0.058445[/C][C]-0.4994[/C][C]0.690485[/C][/ROW]
[ROW][C]39[/C][C]0.06923[/C][C]0.5915[/C][C]0.278005[/C][/ROW]
[ROW][C]40[/C][C]0.027344[/C][C]0.2336[/C][C]0.407964[/C][/ROW]
[ROW][C]41[/C][C]-0.07106[/C][C]-0.6071[/C][C]0.727177[/C][/ROW]
[ROW][C]42[/C][C]0.045302[/C][C]0.3871[/C][C]0.349917[/C][/ROW]
[ROW][C]43[/C][C]-0.052617[/C][C]-0.4496[/C][C]0.672819[/C][/ROW]
[ROW][C]44[/C][C]0.09519[/C][C]0.8133[/C][C]0.209345[/C][/ROW]
[ROW][C]45[/C][C]-0.018204[/C][C]-0.1555[/C][C]0.561586[/C][/ROW]
[ROW][C]46[/C][C]-0.055672[/C][C]-0.4757[/C][C]0.682131[/C][/ROW]
[ROW][C]47[/C][C]-0.076108[/C][C]-0.6503[/C][C]0.741218[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4213&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4213&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	0.215169	1.8384	0.035035
1	0.11262	0.9622	0.169556
2	-0.54172	-4.6285	0.999992
3	0.009935	0.0849	0.466294
4	0.124054	1.0599	0.146339
5	-0.245487	-2.0974	0.980291
6	0.153597	1.3123	0.096759
7	0.273157	2.3339	0.01118
8	0.039993	0.3417	0.366778
9	-0.351965	-3.0072	0.998193
10	-0.16827	-1.4377	0.922604
11	-0.229098	-1.9574	0.972939
12	-0.106263	-0.9079	0.816543
13	-0.08455	-0.7224	0.76382
14	-0.101952	-0.8711	0.806718
15	-0.051955	-0.4439	0.670789
16	-0.101404	-0.8664	0.805445
17	0.103129	0.8811	0.190568
18	-0.009028	-0.0771	0.530637
19	-0.054081	-0.4621	0.677298
20	0.045291	0.387	0.349952
21	-0.212715	-1.8174	0.963373
22	0.004557	0.0389	0.484525
23	0.070021	0.5983	0.275759
24	-0.019908	-0.1701	0.567298
25	0.012405	0.106	0.45794
26	0.010964	0.0937	0.462811
27	-0.028655	-0.2448	0.596361
28	0.129873	1.1096	0.135399
29	-0.058856	-0.5029	0.691713
30	0.002933	0.0251	0.490038
31	-0.015997	-0.1367	0.55417
32	-0.033501	-0.2862	0.612246
33	-0.040742	-0.3481	0.635616
34	-0.036216	-0.3094	0.62106
35	-0.038613	-0.3299	0.628792
36	-0.069687	-0.5954	0.723294
37	0.030079	0.257	0.398954
38	-0.058445	-0.4994	0.690485
39	0.06923	0.5915	0.278005
40	0.027344	0.2336	0.407964
41	-0.07106	-0.6071	0.727177
42	0.045302	0.3871	0.349917
43	-0.052617	-0.4496	0.672819
44	0.09519	0.8133	0.209345
45	-0.018204	-0.1555	0.561586
46	-0.055672	-0.4757	0.682131
47	-0.076108	-0.6503	0.741218

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1.0 ; 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 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