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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 22 Dec 2010 14:30:09 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/22/t129302808385spdivf15t9z1p.htm/, Retrieved Mon, 06 May 2024 03:33:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114255, Retrieved Mon, 06 May 2024 03:33:18 +0000

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User-defined keywords

Estimated Impact

160

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

-     [Variance Reduction Matrix] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
-   PD  [Variance Reduction Matrix] [WS9 - Variance Re...] [2010-12-04 11:04:59] [8ef49741e164ec6343c90c7935194465]
-   P     [Variance Reduction Matrix] [WS 9 VRM] [2010-12-05 14:01:21] [8214fe6d084e5ad7598b249a26cc9f06]
- RMPD      [(Partial) Autocorrelation Function] [paper ACF] [2010-12-10 10:47:04] [8214fe6d084e5ad7598b249a26cc9f06]
-    D        [(Partial) Autocorrelation Function] [acf] [2010-12-20 19:45:58] [8214fe6d084e5ad7598b249a26cc9f06]
-   PD          [(Partial) Autocorrelation Function] [acf laaggeschoolden] [2010-12-21 19:24:27] [8214fe6d084e5ad7598b249a26cc9f06]
-   PD            [(Partial) Autocorrelation Function] [acf 1 middengesch...] [2010-12-22 14:24:40] [8214fe6d084e5ad7598b249a26cc9f06]
-    D              [(Partial) Autocorrelation Function] [acf 1 hooggeschoo...] [2010-12-22 14:27:57] [8214fe6d084e5ad7598b249a26cc9f06]
-   P                   [(Partial) Autocorrelation Function] [acf 2 hooggeschoo...] [2010-12-22 14:30:09] [b47314d83d48c7bf812ec2bcd743b159] [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	'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=114255&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=114255&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114255&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	-0.003121	-0.0339	0.486505
2	0.154939	1.6831	0.047503
3	-0.059193	-0.643	0.260734
4	0.040918	0.4445	0.328753
5	-0.002457	-0.0267	0.489378
6	-0.034102	-0.3704	0.35586
7	0.051546	0.5599	0.288292
8	-0.036908	-0.4009	0.3446
9	0.112334	1.2203	0.1124
10	0.144123	1.5656	0.060063
11	0.088674	0.9632	0.168698
12	-0.088884	-0.9655	0.168129
13	0.058302	0.6333	0.263875
14	-0.024697	-0.2683	0.394477
15	-0.070803	-0.7691	0.221679
16	-0.182546	-1.983	0.024848
17	-0.126936	-1.3789	0.08527
18	0.027556	0.2993	0.382606
19	-0.016605	-0.1804	0.428585
20	0.07977	0.8665	0.19398
21	-0.006131	-0.0666	0.473507
22	0.014577	0.1583	0.437227
23	-0.016147	-0.1754	0.430534
24	-0.01066	-0.1158	0.454006
25	-0.066681	-0.7243	0.235146
26	-0.124542	-1.3529	0.089342
27	-0.116647	-1.2671	0.103804
28	0.040206	0.4367	0.331546
29	-0.018708	-0.2032	0.419658
30	-0.087138	-0.9466	0.172899
31	-0.082053	-0.8913	0.187285
32	0.030886	0.3355	0.368917
33	-0.076377	-0.8297	0.204202
34	0.076992	0.8363	0.202325
35	0.052985	0.5756	0.283003
36	-0.056175	-0.6102	0.271445
37	-0.07476	-0.8121	0.209185
38	-0.179934	-1.9546	0.026499
39	0.050849	0.5524	0.290872
40	-0.090285	-0.9808	0.164361
41	0.047026	0.5108	0.305212
42	-0.027254	-0.2961	0.383854
43	0.065326	0.7096	0.23967
44	-0.063186	-0.6864	0.246912
45	0.058788	0.6386	0.26216
46	0.034004	0.3694	0.356255
47	-0.068822	-0.7476	0.228095
48	-0.116051	-1.2606	0.104963

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.003121 & -0.0339 & 0.486505 \tabularnewline
2 & 0.154939 & 1.6831 & 0.047503 \tabularnewline
3 & -0.059193 & -0.643 & 0.260734 \tabularnewline
4 & 0.040918 & 0.4445 & 0.328753 \tabularnewline
5 & -0.002457 & -0.0267 & 0.489378 \tabularnewline
6 & -0.034102 & -0.3704 & 0.35586 \tabularnewline
7 & 0.051546 & 0.5599 & 0.288292 \tabularnewline
8 & -0.036908 & -0.4009 & 0.3446 \tabularnewline
9 & 0.112334 & 1.2203 & 0.1124 \tabularnewline
10 & 0.144123 & 1.5656 & 0.060063 \tabularnewline
11 & 0.088674 & 0.9632 & 0.168698 \tabularnewline
12 & -0.088884 & -0.9655 & 0.168129 \tabularnewline
13 & 0.058302 & 0.6333 & 0.263875 \tabularnewline
14 & -0.024697 & -0.2683 & 0.394477 \tabularnewline
15 & -0.070803 & -0.7691 & 0.221679 \tabularnewline
16 & -0.182546 & -1.983 & 0.024848 \tabularnewline
17 & -0.126936 & -1.3789 & 0.08527 \tabularnewline
18 & 0.027556 & 0.2993 & 0.382606 \tabularnewline
19 & -0.016605 & -0.1804 & 0.428585 \tabularnewline
20 & 0.07977 & 0.8665 & 0.19398 \tabularnewline
21 & -0.006131 & -0.0666 & 0.473507 \tabularnewline
22 & 0.014577 & 0.1583 & 0.437227 \tabularnewline
23 & -0.016147 & -0.1754 & 0.430534 \tabularnewline
24 & -0.01066 & -0.1158 & 0.454006 \tabularnewline
25 & -0.066681 & -0.7243 & 0.235146 \tabularnewline
26 & -0.124542 & -1.3529 & 0.089342 \tabularnewline
27 & -0.116647 & -1.2671 & 0.103804 \tabularnewline
28 & 0.040206 & 0.4367 & 0.331546 \tabularnewline
29 & -0.018708 & -0.2032 & 0.419658 \tabularnewline
30 & -0.087138 & -0.9466 & 0.172899 \tabularnewline
31 & -0.082053 & -0.8913 & 0.187285 \tabularnewline
32 & 0.030886 & 0.3355 & 0.368917 \tabularnewline
33 & -0.076377 & -0.8297 & 0.204202 \tabularnewline
34 & 0.076992 & 0.8363 & 0.202325 \tabularnewline
35 & 0.052985 & 0.5756 & 0.283003 \tabularnewline
36 & -0.056175 & -0.6102 & 0.271445 \tabularnewline
37 & -0.07476 & -0.8121 & 0.209185 \tabularnewline
38 & -0.179934 & -1.9546 & 0.026499 \tabularnewline
39 & 0.050849 & 0.5524 & 0.290872 \tabularnewline
40 & -0.090285 & -0.9808 & 0.164361 \tabularnewline
41 & 0.047026 & 0.5108 & 0.305212 \tabularnewline
42 & -0.027254 & -0.2961 & 0.383854 \tabularnewline
43 & 0.065326 & 0.7096 & 0.23967 \tabularnewline
44 & -0.063186 & -0.6864 & 0.246912 \tabularnewline
45 & 0.058788 & 0.6386 & 0.26216 \tabularnewline
46 & 0.034004 & 0.3694 & 0.356255 \tabularnewline
47 & -0.068822 & -0.7476 & 0.228095 \tabularnewline
48 & -0.116051 & -1.2606 & 0.104963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114255&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]-0.003121[/C][C]-0.0339[/C][C]0.486505[/C][/ROW]
[ROW][C]2[/C][C]0.154939[/C][C]1.6831[/C][C]0.047503[/C][/ROW]
[ROW][C]3[/C][C]-0.059193[/C][C]-0.643[/C][C]0.260734[/C][/ROW]
[ROW][C]4[/C][C]0.040918[/C][C]0.4445[/C][C]0.328753[/C][/ROW]
[ROW][C]5[/C][C]-0.002457[/C][C]-0.0267[/C][C]0.489378[/C][/ROW]
[ROW][C]6[/C][C]-0.034102[/C][C]-0.3704[/C][C]0.35586[/C][/ROW]
[ROW][C]7[/C][C]0.051546[/C][C]0.5599[/C][C]0.288292[/C][/ROW]
[ROW][C]8[/C][C]-0.036908[/C][C]-0.4009[/C][C]0.3446[/C][/ROW]
[ROW][C]9[/C][C]0.112334[/C][C]1.2203[/C][C]0.1124[/C][/ROW]
[ROW][C]10[/C][C]0.144123[/C][C]1.5656[/C][C]0.060063[/C][/ROW]
[ROW][C]11[/C][C]0.088674[/C][C]0.9632[/C][C]0.168698[/C][/ROW]
[ROW][C]12[/C][C]-0.088884[/C][C]-0.9655[/C][C]0.168129[/C][/ROW]
[ROW][C]13[/C][C]0.058302[/C][C]0.6333[/C][C]0.263875[/C][/ROW]
[ROW][C]14[/C][C]-0.024697[/C][C]-0.2683[/C][C]0.394477[/C][/ROW]
[ROW][C]15[/C][C]-0.070803[/C][C]-0.7691[/C][C]0.221679[/C][/ROW]
[ROW][C]16[/C][C]-0.182546[/C][C]-1.983[/C][C]0.024848[/C][/ROW]
[ROW][C]17[/C][C]-0.126936[/C][C]-1.3789[/C][C]0.08527[/C][/ROW]
[ROW][C]18[/C][C]0.027556[/C][C]0.2993[/C][C]0.382606[/C][/ROW]
[ROW][C]19[/C][C]-0.016605[/C][C]-0.1804[/C][C]0.428585[/C][/ROW]
[ROW][C]20[/C][C]0.07977[/C][C]0.8665[/C][C]0.19398[/C][/ROW]
[ROW][C]21[/C][C]-0.006131[/C][C]-0.0666[/C][C]0.473507[/C][/ROW]
[ROW][C]22[/C][C]0.014577[/C][C]0.1583[/C][C]0.437227[/C][/ROW]
[ROW][C]23[/C][C]-0.016147[/C][C]-0.1754[/C][C]0.430534[/C][/ROW]
[ROW][C]24[/C][C]-0.01066[/C][C]-0.1158[/C][C]0.454006[/C][/ROW]
[ROW][C]25[/C][C]-0.066681[/C][C]-0.7243[/C][C]0.235146[/C][/ROW]
[ROW][C]26[/C][C]-0.124542[/C][C]-1.3529[/C][C]0.089342[/C][/ROW]
[ROW][C]27[/C][C]-0.116647[/C][C]-1.2671[/C][C]0.103804[/C][/ROW]
[ROW][C]28[/C][C]0.040206[/C][C]0.4367[/C][C]0.331546[/C][/ROW]
[ROW][C]29[/C][C]-0.018708[/C][C]-0.2032[/C][C]0.419658[/C][/ROW]
[ROW][C]30[/C][C]-0.087138[/C][C]-0.9466[/C][C]0.172899[/C][/ROW]
[ROW][C]31[/C][C]-0.082053[/C][C]-0.8913[/C][C]0.187285[/C][/ROW]
[ROW][C]32[/C][C]0.030886[/C][C]0.3355[/C][C]0.368917[/C][/ROW]
[ROW][C]33[/C][C]-0.076377[/C][C]-0.8297[/C][C]0.204202[/C][/ROW]
[ROW][C]34[/C][C]0.076992[/C][C]0.8363[/C][C]0.202325[/C][/ROW]
[ROW][C]35[/C][C]0.052985[/C][C]0.5756[/C][C]0.283003[/C][/ROW]
[ROW][C]36[/C][C]-0.056175[/C][C]-0.6102[/C][C]0.271445[/C][/ROW]
[ROW][C]37[/C][C]-0.07476[/C][C]-0.8121[/C][C]0.209185[/C][/ROW]
[ROW][C]38[/C][C]-0.179934[/C][C]-1.9546[/C][C]0.026499[/C][/ROW]
[ROW][C]39[/C][C]0.050849[/C][C]0.5524[/C][C]0.290872[/C][/ROW]
[ROW][C]40[/C][C]-0.090285[/C][C]-0.9808[/C][C]0.164361[/C][/ROW]
[ROW][C]41[/C][C]0.047026[/C][C]0.5108[/C][C]0.305212[/C][/ROW]
[ROW][C]42[/C][C]-0.027254[/C][C]-0.2961[/C][C]0.383854[/C][/ROW]
[ROW][C]43[/C][C]0.065326[/C][C]0.7096[/C][C]0.23967[/C][/ROW]
[ROW][C]44[/C][C]-0.063186[/C][C]-0.6864[/C][C]0.246912[/C][/ROW]
[ROW][C]45[/C][C]0.058788[/C][C]0.6386[/C][C]0.26216[/C][/ROW]
[ROW][C]46[/C][C]0.034004[/C][C]0.3694[/C][C]0.356255[/C][/ROW]
[ROW][C]47[/C][C]-0.068822[/C][C]-0.7476[/C][C]0.228095[/C][/ROW]
[ROW][C]48[/C][C]-0.116051[/C][C]-1.2606[/C][C]0.104963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114255&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114255&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	-0.003121	-0.0339	0.486505
2	0.154939	1.6831	0.047503
3	-0.059193	-0.643	0.260734
4	0.040918	0.4445	0.328753
5	-0.002457	-0.0267	0.489378
6	-0.034102	-0.3704	0.35586
7	0.051546	0.5599	0.288292
8	-0.036908	-0.4009	0.3446
9	0.112334	1.2203	0.1124
10	0.144123	1.5656	0.060063
11	0.088674	0.9632	0.168698
12	-0.088884	-0.9655	0.168129
13	0.058302	0.6333	0.263875
14	-0.024697	-0.2683	0.394477
15	-0.070803	-0.7691	0.221679
16	-0.182546	-1.983	0.024848
17	-0.126936	-1.3789	0.08527
18	0.027556	0.2993	0.382606
19	-0.016605	-0.1804	0.428585
20	0.07977	0.8665	0.19398
21	-0.006131	-0.0666	0.473507
22	0.014577	0.1583	0.437227
23	-0.016147	-0.1754	0.430534
24	-0.01066	-0.1158	0.454006
25	-0.066681	-0.7243	0.235146
26	-0.124542	-1.3529	0.089342
27	-0.116647	-1.2671	0.103804
28	0.040206	0.4367	0.331546
29	-0.018708	-0.2032	0.419658
30	-0.087138	-0.9466	0.172899
31	-0.082053	-0.8913	0.187285
32	0.030886	0.3355	0.368917
33	-0.076377	-0.8297	0.204202
34	0.076992	0.8363	0.202325
35	0.052985	0.5756	0.283003
36	-0.056175	-0.6102	0.271445
37	-0.07476	-0.8121	0.209185
38	-0.179934	-1.9546	0.026499
39	0.050849	0.5524	0.290872
40	-0.090285	-0.9808	0.164361
41	0.047026	0.5108	0.305212
42	-0.027254	-0.2961	0.383854
43	0.065326	0.7096	0.23967
44	-0.063186	-0.6864	0.246912
45	0.058788	0.6386	0.26216
46	0.034004	0.3694	0.356255
47	-0.068822	-0.7476	0.228095
48	-0.116051	-1.2606	0.104963

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.003121	-0.0339	0.486505
2	0.154931	1.683	0.047511
3	-0.059736	-0.6489	0.258834
4	0.017628	0.1915	0.424238
5	0.016003	0.1738	0.431146
6	-0.048041	-0.5219	0.301375
7	0.055337	0.6011	0.27446
8	-0.026303	-0.2857	0.387794
9	0.094396	1.0254	0.153635
10	0.167756	1.8223	0.035471
11	0.052206	0.5671	0.285861
12	-0.130299	-1.4154	0.079791
13	0.057483	0.6244	0.266776
14	-0.000121	-0.0013	0.499476
15	-0.104911	-1.1396	0.128376
16	-0.18001	-1.9554	0.026449
17	-0.124708	-1.3547	0.089055
18	0.067633	0.7347	0.231997
19	-0.002905	-0.0316	0.487441
20	0.006505	0.0707	0.471893
21	0.017485	0.1899	0.424845
22	0.027649	0.3003	0.382221
23	-0.00313	-0.034	0.486466
24	-0.022138	-0.2405	0.405189
25	-0.011792	-0.1281	0.449144
26	-0.033241	-0.3611	0.359338
27	-0.089835	-0.9759	0.165566
28	0.037443	0.4067	0.34247
29	-0.010275	-0.1116	0.45566
30	-0.122251	-1.328	0.093373
31	-0.136634	-1.4842	0.070208
32	0.018688	0.203	0.419741
33	-0.102394	-1.1123	0.134138
34	0.090313	0.9811	0.164287
35	0.14722	1.5992	0.056223
36	-0.02131	-0.2315	0.408668
37	-0.042639	-0.4632	0.322046
38	-0.214008	-2.3247	0.010898
39	0.042886	0.4659	0.321085
40	0.047427	0.5152	0.303693
41	-0.006438	-0.0699	0.47218
42	-0.079737	-0.8662	0.194079
43	0.035279	0.3832	0.351121
44	-0.079558	-0.8642	0.194611
45	-0.001956	-0.0213	0.49154
46	0.04215	0.4579	0.323944
47	-0.073675	-0.8003	0.212567
48	-0.153594	-1.6685	0.048938

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.003121 & -0.0339 & 0.486505 \tabularnewline
2 & 0.154931 & 1.683 & 0.047511 \tabularnewline
3 & -0.059736 & -0.6489 & 0.258834 \tabularnewline
4 & 0.017628 & 0.1915 & 0.424238 \tabularnewline
5 & 0.016003 & 0.1738 & 0.431146 \tabularnewline
6 & -0.048041 & -0.5219 & 0.301375 \tabularnewline
7 & 0.055337 & 0.6011 & 0.27446 \tabularnewline
8 & -0.026303 & -0.2857 & 0.387794 \tabularnewline
9 & 0.094396 & 1.0254 & 0.153635 \tabularnewline
10 & 0.167756 & 1.8223 & 0.035471 \tabularnewline
11 & 0.052206 & 0.5671 & 0.285861 \tabularnewline
12 & -0.130299 & -1.4154 & 0.079791 \tabularnewline
13 & 0.057483 & 0.6244 & 0.266776 \tabularnewline
14 & -0.000121 & -0.0013 & 0.499476 \tabularnewline
15 & -0.104911 & -1.1396 & 0.128376 \tabularnewline
16 & -0.18001 & -1.9554 & 0.026449 \tabularnewline
17 & -0.124708 & -1.3547 & 0.089055 \tabularnewline
18 & 0.067633 & 0.7347 & 0.231997 \tabularnewline
19 & -0.002905 & -0.0316 & 0.487441 \tabularnewline
20 & 0.006505 & 0.0707 & 0.471893 \tabularnewline
21 & 0.017485 & 0.1899 & 0.424845 \tabularnewline
22 & 0.027649 & 0.3003 & 0.382221 \tabularnewline
23 & -0.00313 & -0.034 & 0.486466 \tabularnewline
24 & -0.022138 & -0.2405 & 0.405189 \tabularnewline
25 & -0.011792 & -0.1281 & 0.449144 \tabularnewline
26 & -0.033241 & -0.3611 & 0.359338 \tabularnewline
27 & -0.089835 & -0.9759 & 0.165566 \tabularnewline
28 & 0.037443 & 0.4067 & 0.34247 \tabularnewline
29 & -0.010275 & -0.1116 & 0.45566 \tabularnewline
30 & -0.122251 & -1.328 & 0.093373 \tabularnewline
31 & -0.136634 & -1.4842 & 0.070208 \tabularnewline
32 & 0.018688 & 0.203 & 0.419741 \tabularnewline
33 & -0.102394 & -1.1123 & 0.134138 \tabularnewline
34 & 0.090313 & 0.9811 & 0.164287 \tabularnewline
35 & 0.14722 & 1.5992 & 0.056223 \tabularnewline
36 & -0.02131 & -0.2315 & 0.408668 \tabularnewline
37 & -0.042639 & -0.4632 & 0.322046 \tabularnewline
38 & -0.214008 & -2.3247 & 0.010898 \tabularnewline
39 & 0.042886 & 0.4659 & 0.321085 \tabularnewline
40 & 0.047427 & 0.5152 & 0.303693 \tabularnewline
41 & -0.006438 & -0.0699 & 0.47218 \tabularnewline
42 & -0.079737 & -0.8662 & 0.194079 \tabularnewline
43 & 0.035279 & 0.3832 & 0.351121 \tabularnewline
44 & -0.079558 & -0.8642 & 0.194611 \tabularnewline
45 & -0.001956 & -0.0213 & 0.49154 \tabularnewline
46 & 0.04215 & 0.4579 & 0.323944 \tabularnewline
47 & -0.073675 & -0.8003 & 0.212567 \tabularnewline
48 & -0.153594 & -1.6685 & 0.048938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114255&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]-0.003121[/C][C]-0.0339[/C][C]0.486505[/C][/ROW]
[ROW][C]2[/C][C]0.154931[/C][C]1.683[/C][C]0.047511[/C][/ROW]
[ROW][C]3[/C][C]-0.059736[/C][C]-0.6489[/C][C]0.258834[/C][/ROW]
[ROW][C]4[/C][C]0.017628[/C][C]0.1915[/C][C]0.424238[/C][/ROW]
[ROW][C]5[/C][C]0.016003[/C][C]0.1738[/C][C]0.431146[/C][/ROW]
[ROW][C]6[/C][C]-0.048041[/C][C]-0.5219[/C][C]0.301375[/C][/ROW]
[ROW][C]7[/C][C]0.055337[/C][C]0.6011[/C][C]0.27446[/C][/ROW]
[ROW][C]8[/C][C]-0.026303[/C][C]-0.2857[/C][C]0.387794[/C][/ROW]
[ROW][C]9[/C][C]0.094396[/C][C]1.0254[/C][C]0.153635[/C][/ROW]
[ROW][C]10[/C][C]0.167756[/C][C]1.8223[/C][C]0.035471[/C][/ROW]
[ROW][C]11[/C][C]0.052206[/C][C]0.5671[/C][C]0.285861[/C][/ROW]
[ROW][C]12[/C][C]-0.130299[/C][C]-1.4154[/C][C]0.079791[/C][/ROW]
[ROW][C]13[/C][C]0.057483[/C][C]0.6244[/C][C]0.266776[/C][/ROW]
[ROW][C]14[/C][C]-0.000121[/C][C]-0.0013[/C][C]0.499476[/C][/ROW]
[ROW][C]15[/C][C]-0.104911[/C][C]-1.1396[/C][C]0.128376[/C][/ROW]
[ROW][C]16[/C][C]-0.18001[/C][C]-1.9554[/C][C]0.026449[/C][/ROW]
[ROW][C]17[/C][C]-0.124708[/C][C]-1.3547[/C][C]0.089055[/C][/ROW]
[ROW][C]18[/C][C]0.067633[/C][C]0.7347[/C][C]0.231997[/C][/ROW]
[ROW][C]19[/C][C]-0.002905[/C][C]-0.0316[/C][C]0.487441[/C][/ROW]
[ROW][C]20[/C][C]0.006505[/C][C]0.0707[/C][C]0.471893[/C][/ROW]
[ROW][C]21[/C][C]0.017485[/C][C]0.1899[/C][C]0.424845[/C][/ROW]
[ROW][C]22[/C][C]0.027649[/C][C]0.3003[/C][C]0.382221[/C][/ROW]
[ROW][C]23[/C][C]-0.00313[/C][C]-0.034[/C][C]0.486466[/C][/ROW]
[ROW][C]24[/C][C]-0.022138[/C][C]-0.2405[/C][C]0.405189[/C][/ROW]
[ROW][C]25[/C][C]-0.011792[/C][C]-0.1281[/C][C]0.449144[/C][/ROW]
[ROW][C]26[/C][C]-0.033241[/C][C]-0.3611[/C][C]0.359338[/C][/ROW]
[ROW][C]27[/C][C]-0.089835[/C][C]-0.9759[/C][C]0.165566[/C][/ROW]
[ROW][C]28[/C][C]0.037443[/C][C]0.4067[/C][C]0.34247[/C][/ROW]
[ROW][C]29[/C][C]-0.010275[/C][C]-0.1116[/C][C]0.45566[/C][/ROW]
[ROW][C]30[/C][C]-0.122251[/C][C]-1.328[/C][C]0.093373[/C][/ROW]
[ROW][C]31[/C][C]-0.136634[/C][C]-1.4842[/C][C]0.070208[/C][/ROW]
[ROW][C]32[/C][C]0.018688[/C][C]0.203[/C][C]0.419741[/C][/ROW]
[ROW][C]33[/C][C]-0.102394[/C][C]-1.1123[/C][C]0.134138[/C][/ROW]
[ROW][C]34[/C][C]0.090313[/C][C]0.9811[/C][C]0.164287[/C][/ROW]
[ROW][C]35[/C][C]0.14722[/C][C]1.5992[/C][C]0.056223[/C][/ROW]
[ROW][C]36[/C][C]-0.02131[/C][C]-0.2315[/C][C]0.408668[/C][/ROW]
[ROW][C]37[/C][C]-0.042639[/C][C]-0.4632[/C][C]0.322046[/C][/ROW]
[ROW][C]38[/C][C]-0.214008[/C][C]-2.3247[/C][C]0.010898[/C][/ROW]
[ROW][C]39[/C][C]0.042886[/C][C]0.4659[/C][C]0.321085[/C][/ROW]
[ROW][C]40[/C][C]0.047427[/C][C]0.5152[/C][C]0.303693[/C][/ROW]
[ROW][C]41[/C][C]-0.006438[/C][C]-0.0699[/C][C]0.47218[/C][/ROW]
[ROW][C]42[/C][C]-0.079737[/C][C]-0.8662[/C][C]0.194079[/C][/ROW]
[ROW][C]43[/C][C]0.035279[/C][C]0.3832[/C][C]0.351121[/C][/ROW]
[ROW][C]44[/C][C]-0.079558[/C][C]-0.8642[/C][C]0.194611[/C][/ROW]
[ROW][C]45[/C][C]-0.001956[/C][C]-0.0213[/C][C]0.49154[/C][/ROW]
[ROW][C]46[/C][C]0.04215[/C][C]0.4579[/C][C]0.323944[/C][/ROW]
[ROW][C]47[/C][C]-0.073675[/C][C]-0.8003[/C][C]0.212567[/C][/ROW]
[ROW][C]48[/C][C]-0.153594[/C][C]-1.6685[/C][C]0.048938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114255&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114255&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	-0.003121	-0.0339	0.486505
2	0.154931	1.683	0.047511
3	-0.059736	-0.6489	0.258834
4	0.017628	0.1915	0.424238
5	0.016003	0.1738	0.431146
6	-0.048041	-0.5219	0.301375
7	0.055337	0.6011	0.27446
8	-0.026303	-0.2857	0.387794
9	0.094396	1.0254	0.153635
10	0.167756	1.8223	0.035471
11	0.052206	0.5671	0.285861
12	-0.130299	-1.4154	0.079791
13	0.057483	0.6244	0.266776
14	-0.000121	-0.0013	0.499476
15	-0.104911	-1.1396	0.128376
16	-0.18001	-1.9554	0.026449
17	-0.124708	-1.3547	0.089055
18	0.067633	0.7347	0.231997
19	-0.002905	-0.0316	0.487441
20	0.006505	0.0707	0.471893
21	0.017485	0.1899	0.424845
22	0.027649	0.3003	0.382221
23	-0.00313	-0.034	0.486466
24	-0.022138	-0.2405	0.405189
25	-0.011792	-0.1281	0.449144
26	-0.033241	-0.3611	0.359338
27	-0.089835	-0.9759	0.165566
28	0.037443	0.4067	0.34247
29	-0.010275	-0.1116	0.45566
30	-0.122251	-1.328	0.093373
31	-0.136634	-1.4842	0.070208
32	0.018688	0.203	0.419741
33	-0.102394	-1.1123	0.134138
34	0.090313	0.9811	0.164287
35	0.14722	1.5992	0.056223
36	-0.02131	-0.2315	0.408668
37	-0.042639	-0.4632	0.322046
38	-0.214008	-2.3247	0.010898
39	0.042886	0.4659	0.321085
40	0.047427	0.5152	0.303693
41	-0.006438	-0.0699	0.47218
42	-0.079737	-0.8662	0.194079
43	0.035279	0.3832	0.351121
44	-0.079558	-0.8642	0.194611
45	-0.001956	-0.0213	0.49154
46	0.04215	0.4579	0.323944
47	-0.073675	-0.8003	0.212567
48	-0.153594	-1.6685	0.048938

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 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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