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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Thu, 14 May 2009 10:36:57 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t12423190715yuzpzndqb2wnip.htm/, Retrieved Sun, 28 Apr 2024 20:44:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40041, Retrieved Sun, 28 Apr 2024 20:44:18 +0000

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Estimated Impact

124

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

-     [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2009-05-13 17:43:14] [e85043a45c4704563f796a637730b863]
-    D    [(Partial) Autocorrelation Function] [Oefn 6bis2 - Sofi...] [2009-05-14 16:36:57] [d41d8cd98f00b204e9800998ecf8427e] [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=40041&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=40041&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40041&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	0.226955	1.9124	0.029933
2	-0.037575	-0.3166	0.376232
3	-0.016198	-0.1365	0.445912
4	-0.102375	-0.8626	0.195623
5	-0.257132	-2.1666	0.01681
6	-0.206693	-1.7416	0.042953
7	-0.21647	-1.824	0.036179
8	-0.241881	-2.0381	0.022632
9	0.044185	0.3723	0.355387
10	0.265005	2.233	0.014352
11	0.035875	0.3023	0.381659
12	0.111394	0.9386	0.175552
13	0.427794	3.6047	0.000288
14	0.193115	1.6272	0.05406
15	-0.04293	-0.3617	0.359311
16	-0.099049	-0.8346	0.203372
17	-0.14671	-1.2362	0.110229
18	-0.144948	-1.2214	0.112996
19	-0.163053	-1.3739	0.086897
20	-0.096241	-0.8109	0.210054
21	-0.085939	-0.7241	0.235681
22	0.081138	0.6837	0.2482
23	0.35583	2.9983	0.00187
24	0.168227	1.4175	0.080354
25	-0.017131	-0.1444	0.442816
26	-0.018333	-0.1545	0.438837
27	0.032531	0.2741	0.392397
28	-0.07431	-0.6261	0.266612
29	-0.127489	-1.0742	0.143177
30	-0.144549	-1.218	0.11363
31	-0.080195	-0.6757	0.250702
32	-0.110781	-0.9335	0.176873
33	0.144563	1.2181	0.113608
34	0.042024	0.3541	0.362156
35	0.074072	0.6241	0.267267
36	0.164328	1.3846	0.085248
37	0.124509	1.0491	0.148837
38	-0.018137	-0.1528	0.439485
39	-0.060246	-0.5076	0.306638
40	-0.054005	-0.4551	0.325229
41	-0.082838	-0.698	0.243726
42	-0.135533	-1.142	0.12864
43	-0.147262	-1.2409	0.109372
44	-0.115292	-0.9715	0.167307
45	-0.036248	-0.3054	0.380465
46	0.144452	1.2172	0.113785
47	0.029618	0.2496	0.401823
48	0.072522	0.6111	0.271547

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.226955 & 1.9124 & 0.029933 \tabularnewline
2 & -0.037575 & -0.3166 & 0.376232 \tabularnewline
3 & -0.016198 & -0.1365 & 0.445912 \tabularnewline
4 & -0.102375 & -0.8626 & 0.195623 \tabularnewline
5 & -0.257132 & -2.1666 & 0.01681 \tabularnewline
6 & -0.206693 & -1.7416 & 0.042953 \tabularnewline
7 & -0.21647 & -1.824 & 0.036179 \tabularnewline
8 & -0.241881 & -2.0381 & 0.022632 \tabularnewline
9 & 0.044185 & 0.3723 & 0.355387 \tabularnewline
10 & 0.265005 & 2.233 & 0.014352 \tabularnewline
11 & 0.035875 & 0.3023 & 0.381659 \tabularnewline
12 & 0.111394 & 0.9386 & 0.175552 \tabularnewline
13 & 0.427794 & 3.6047 & 0.000288 \tabularnewline
14 & 0.193115 & 1.6272 & 0.05406 \tabularnewline
15 & -0.04293 & -0.3617 & 0.359311 \tabularnewline
16 & -0.099049 & -0.8346 & 0.203372 \tabularnewline
17 & -0.14671 & -1.2362 & 0.110229 \tabularnewline
18 & -0.144948 & -1.2214 & 0.112996 \tabularnewline
19 & -0.163053 & -1.3739 & 0.086897 \tabularnewline
20 & -0.096241 & -0.8109 & 0.210054 \tabularnewline
21 & -0.085939 & -0.7241 & 0.235681 \tabularnewline
22 & 0.081138 & 0.6837 & 0.2482 \tabularnewline
23 & 0.35583 & 2.9983 & 0.00187 \tabularnewline
24 & 0.168227 & 1.4175 & 0.080354 \tabularnewline
25 & -0.017131 & -0.1444 & 0.442816 \tabularnewline
26 & -0.018333 & -0.1545 & 0.438837 \tabularnewline
27 & 0.032531 & 0.2741 & 0.392397 \tabularnewline
28 & -0.07431 & -0.6261 & 0.266612 \tabularnewline
29 & -0.127489 & -1.0742 & 0.143177 \tabularnewline
30 & -0.144549 & -1.218 & 0.11363 \tabularnewline
31 & -0.080195 & -0.6757 & 0.250702 \tabularnewline
32 & -0.110781 & -0.9335 & 0.176873 \tabularnewline
33 & 0.144563 & 1.2181 & 0.113608 \tabularnewline
34 & 0.042024 & 0.3541 & 0.362156 \tabularnewline
35 & 0.074072 & 0.6241 & 0.267267 \tabularnewline
36 & 0.164328 & 1.3846 & 0.085248 \tabularnewline
37 & 0.124509 & 1.0491 & 0.148837 \tabularnewline
38 & -0.018137 & -0.1528 & 0.439485 \tabularnewline
39 & -0.060246 & -0.5076 & 0.306638 \tabularnewline
40 & -0.054005 & -0.4551 & 0.325229 \tabularnewline
41 & -0.082838 & -0.698 & 0.243726 \tabularnewline
42 & -0.135533 & -1.142 & 0.12864 \tabularnewline
43 & -0.147262 & -1.2409 & 0.109372 \tabularnewline
44 & -0.115292 & -0.9715 & 0.167307 \tabularnewline
45 & -0.036248 & -0.3054 & 0.380465 \tabularnewline
46 & 0.144452 & 1.2172 & 0.113785 \tabularnewline
47 & 0.029618 & 0.2496 & 0.401823 \tabularnewline
48 & 0.072522 & 0.6111 & 0.271547 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40041&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]0.226955[/C][C]1.9124[/C][C]0.029933[/C][/ROW]
[ROW][C]2[/C][C]-0.037575[/C][C]-0.3166[/C][C]0.376232[/C][/ROW]
[ROW][C]3[/C][C]-0.016198[/C][C]-0.1365[/C][C]0.445912[/C][/ROW]
[ROW][C]4[/C][C]-0.102375[/C][C]-0.8626[/C][C]0.195623[/C][/ROW]
[ROW][C]5[/C][C]-0.257132[/C][C]-2.1666[/C][C]0.01681[/C][/ROW]
[ROW][C]6[/C][C]-0.206693[/C][C]-1.7416[/C][C]0.042953[/C][/ROW]
[ROW][C]7[/C][C]-0.21647[/C][C]-1.824[/C][C]0.036179[/C][/ROW]
[ROW][C]8[/C][C]-0.241881[/C][C]-2.0381[/C][C]0.022632[/C][/ROW]
[ROW][C]9[/C][C]0.044185[/C][C]0.3723[/C][C]0.355387[/C][/ROW]
[ROW][C]10[/C][C]0.265005[/C][C]2.233[/C][C]0.014352[/C][/ROW]
[ROW][C]11[/C][C]0.035875[/C][C]0.3023[/C][C]0.381659[/C][/ROW]
[ROW][C]12[/C][C]0.111394[/C][C]0.9386[/C][C]0.175552[/C][/ROW]
[ROW][C]13[/C][C]0.427794[/C][C]3.6047[/C][C]0.000288[/C][/ROW]
[ROW][C]14[/C][C]0.193115[/C][C]1.6272[/C][C]0.05406[/C][/ROW]
[ROW][C]15[/C][C]-0.04293[/C][C]-0.3617[/C][C]0.359311[/C][/ROW]
[ROW][C]16[/C][C]-0.099049[/C][C]-0.8346[/C][C]0.203372[/C][/ROW]
[ROW][C]17[/C][C]-0.14671[/C][C]-1.2362[/C][C]0.110229[/C][/ROW]
[ROW][C]18[/C][C]-0.144948[/C][C]-1.2214[/C][C]0.112996[/C][/ROW]
[ROW][C]19[/C][C]-0.163053[/C][C]-1.3739[/C][C]0.086897[/C][/ROW]
[ROW][C]20[/C][C]-0.096241[/C][C]-0.8109[/C][C]0.210054[/C][/ROW]
[ROW][C]21[/C][C]-0.085939[/C][C]-0.7241[/C][C]0.235681[/C][/ROW]
[ROW][C]22[/C][C]0.081138[/C][C]0.6837[/C][C]0.2482[/C][/ROW]
[ROW][C]23[/C][C]0.35583[/C][C]2.9983[/C][C]0.00187[/C][/ROW]
[ROW][C]24[/C][C]0.168227[/C][C]1.4175[/C][C]0.080354[/C][/ROW]
[ROW][C]25[/C][C]-0.017131[/C][C]-0.1444[/C][C]0.442816[/C][/ROW]
[ROW][C]26[/C][C]-0.018333[/C][C]-0.1545[/C][C]0.438837[/C][/ROW]
[ROW][C]27[/C][C]0.032531[/C][C]0.2741[/C][C]0.392397[/C][/ROW]
[ROW][C]28[/C][C]-0.07431[/C][C]-0.6261[/C][C]0.266612[/C][/ROW]
[ROW][C]29[/C][C]-0.127489[/C][C]-1.0742[/C][C]0.143177[/C][/ROW]
[ROW][C]30[/C][C]-0.144549[/C][C]-1.218[/C][C]0.11363[/C][/ROW]
[ROW][C]31[/C][C]-0.080195[/C][C]-0.6757[/C][C]0.250702[/C][/ROW]
[ROW][C]32[/C][C]-0.110781[/C][C]-0.9335[/C][C]0.176873[/C][/ROW]
[ROW][C]33[/C][C]0.144563[/C][C]1.2181[/C][C]0.113608[/C][/ROW]
[ROW][C]34[/C][C]0.042024[/C][C]0.3541[/C][C]0.362156[/C][/ROW]
[ROW][C]35[/C][C]0.074072[/C][C]0.6241[/C][C]0.267267[/C][/ROW]
[ROW][C]36[/C][C]0.164328[/C][C]1.3846[/C][C]0.085248[/C][/ROW]
[ROW][C]37[/C][C]0.124509[/C][C]1.0491[/C][C]0.148837[/C][/ROW]
[ROW][C]38[/C][C]-0.018137[/C][C]-0.1528[/C][C]0.439485[/C][/ROW]
[ROW][C]39[/C][C]-0.060246[/C][C]-0.5076[/C][C]0.306638[/C][/ROW]
[ROW][C]40[/C][C]-0.054005[/C][C]-0.4551[/C][C]0.325229[/C][/ROW]
[ROW][C]41[/C][C]-0.082838[/C][C]-0.698[/C][C]0.243726[/C][/ROW]
[ROW][C]42[/C][C]-0.135533[/C][C]-1.142[/C][C]0.12864[/C][/ROW]
[ROW][C]43[/C][C]-0.147262[/C][C]-1.2409[/C][C]0.109372[/C][/ROW]
[ROW][C]44[/C][C]-0.115292[/C][C]-0.9715[/C][C]0.167307[/C][/ROW]
[ROW][C]45[/C][C]-0.036248[/C][C]-0.3054[/C][C]0.380465[/C][/ROW]
[ROW][C]46[/C][C]0.144452[/C][C]1.2172[/C][C]0.113785[/C][/ROW]
[ROW][C]47[/C][C]0.029618[/C][C]0.2496[/C][C]0.401823[/C][/ROW]
[ROW][C]48[/C][C]0.072522[/C][C]0.6111[/C][C]0.271547[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40041&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40041&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	0.226955	1.9124	0.029933
2	-0.037575	-0.3166	0.376232
3	-0.016198	-0.1365	0.445912
4	-0.102375	-0.8626	0.195623
5	-0.257132	-2.1666	0.01681
6	-0.206693	-1.7416	0.042953
7	-0.21647	-1.824	0.036179
8	-0.241881	-2.0381	0.022632
9	0.044185	0.3723	0.355387
10	0.265005	2.233	0.014352
11	0.035875	0.3023	0.381659
12	0.111394	0.9386	0.175552
13	0.427794	3.6047	0.000288
14	0.193115	1.6272	0.05406
15	-0.04293	-0.3617	0.359311
16	-0.099049	-0.8346	0.203372
17	-0.14671	-1.2362	0.110229
18	-0.144948	-1.2214	0.112996
19	-0.163053	-1.3739	0.086897
20	-0.096241	-0.8109	0.210054
21	-0.085939	-0.7241	0.235681
22	0.081138	0.6837	0.2482
23	0.35583	2.9983	0.00187
24	0.168227	1.4175	0.080354
25	-0.017131	-0.1444	0.442816
26	-0.018333	-0.1545	0.438837
27	0.032531	0.2741	0.392397
28	-0.07431	-0.6261	0.266612
29	-0.127489	-1.0742	0.143177
30	-0.144549	-1.218	0.11363
31	-0.080195	-0.6757	0.250702
32	-0.110781	-0.9335	0.176873
33	0.144563	1.2181	0.113608
34	0.042024	0.3541	0.362156
35	0.074072	0.6241	0.267267
36	0.164328	1.3846	0.085248
37	0.124509	1.0491	0.148837
38	-0.018137	-0.1528	0.439485
39	-0.060246	-0.5076	0.306638
40	-0.054005	-0.4551	0.325229
41	-0.082838	-0.698	0.243726
42	-0.135533	-1.142	0.12864
43	-0.147262	-1.2409	0.109372
44	-0.115292	-0.9715	0.167307
45	-0.036248	-0.3054	0.380465
46	0.144452	1.2172	0.113785
47	0.029618	0.2496	0.401823
48	0.072522	0.6111	0.271547

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.226955	1.9124	0.029933
2	-0.093922	-0.7914	0.215674
3	0.015367	0.1295	0.448669
4	-0.112236	-0.9457	0.173751
5	-0.222021	-1.8708	0.032749
6	-0.124682	-1.0506	0.148505
7	-0.207847	-1.7513	0.042102
8	-0.239261	-2.0161	0.02379
9	0.041562	0.3502	0.36361
10	0.140769	1.1861	0.119761
11	-0.161052	-1.357	0.089533
12	0.037734	0.3179	0.375728
13	0.344075	2.8992	0.002487
14	0.059063	0.4977	0.310127
15	-0.005182	-0.0437	0.482648
16	-0.020457	-0.1724	0.431818
17	0.040752	0.3434	0.366164
18	0.12814	1.0797	0.141959
19	-0.116477	-0.9815	0.164851
20	0.016077	0.1355	0.446313
21	0.123137	1.0376	0.151496
22	0.03606	0.3038	0.381066
23	0.177579	1.4963	0.069502
24	0.04891	0.4121	0.340746
25	-0.075542	-0.6365	0.263241
26	-0.153712	-1.2952	0.099724
27	-0.019357	-0.1631	0.435449
28	-0.027676	-0.2332	0.408138
29	0.017157	0.1446	0.442733
30	-0.076384	-0.6436	0.260947
31	0.000995	0.0084	0.496668
32	-0.131556	-1.1085	0.135692
33	0.082315	0.6936	0.245099
34	-0.07706	-0.6493	0.259114
35	0.047803	0.4028	0.344154
36	-0.083829	-0.7064	0.241139
37	-0.065412	-0.5512	0.291622
38	0.033709	0.284	0.388604
39	0.080202	0.6758	0.250683
40	0.010919	0.092	0.463475
41	0.018267	0.1539	0.439054
42	-0.009629	-0.0811	0.467781
43	-0.126875	-1.0691	0.14433
44	-0.072281	-0.609	0.272218
45	-0.053833	-0.4536	0.325748
46	-0.02705	-0.2279	0.41018
47	-0.178765	-1.5063	0.068214
48	0.021824	0.1839	0.427312

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.226955 & 1.9124 & 0.029933 \tabularnewline
2 & -0.093922 & -0.7914 & 0.215674 \tabularnewline
3 & 0.015367 & 0.1295 & 0.448669 \tabularnewline
4 & -0.112236 & -0.9457 & 0.173751 \tabularnewline
5 & -0.222021 & -1.8708 & 0.032749 \tabularnewline
6 & -0.124682 & -1.0506 & 0.148505 \tabularnewline
7 & -0.207847 & -1.7513 & 0.042102 \tabularnewline
8 & -0.239261 & -2.0161 & 0.02379 \tabularnewline
9 & 0.041562 & 0.3502 & 0.36361 \tabularnewline
10 & 0.140769 & 1.1861 & 0.119761 \tabularnewline
11 & -0.161052 & -1.357 & 0.089533 \tabularnewline
12 & 0.037734 & 0.3179 & 0.375728 \tabularnewline
13 & 0.344075 & 2.8992 & 0.002487 \tabularnewline
14 & 0.059063 & 0.4977 & 0.310127 \tabularnewline
15 & -0.005182 & -0.0437 & 0.482648 \tabularnewline
16 & -0.020457 & -0.1724 & 0.431818 \tabularnewline
17 & 0.040752 & 0.3434 & 0.366164 \tabularnewline
18 & 0.12814 & 1.0797 & 0.141959 \tabularnewline
19 & -0.116477 & -0.9815 & 0.164851 \tabularnewline
20 & 0.016077 & 0.1355 & 0.446313 \tabularnewline
21 & 0.123137 & 1.0376 & 0.151496 \tabularnewline
22 & 0.03606 & 0.3038 & 0.381066 \tabularnewline
23 & 0.177579 & 1.4963 & 0.069502 \tabularnewline
24 & 0.04891 & 0.4121 & 0.340746 \tabularnewline
25 & -0.075542 & -0.6365 & 0.263241 \tabularnewline
26 & -0.153712 & -1.2952 & 0.099724 \tabularnewline
27 & -0.019357 & -0.1631 & 0.435449 \tabularnewline
28 & -0.027676 & -0.2332 & 0.408138 \tabularnewline
29 & 0.017157 & 0.1446 & 0.442733 \tabularnewline
30 & -0.076384 & -0.6436 & 0.260947 \tabularnewline
31 & 0.000995 & 0.0084 & 0.496668 \tabularnewline
32 & -0.131556 & -1.1085 & 0.135692 \tabularnewline
33 & 0.082315 & 0.6936 & 0.245099 \tabularnewline
34 & -0.07706 & -0.6493 & 0.259114 \tabularnewline
35 & 0.047803 & 0.4028 & 0.344154 \tabularnewline
36 & -0.083829 & -0.7064 & 0.241139 \tabularnewline
37 & -0.065412 & -0.5512 & 0.291622 \tabularnewline
38 & 0.033709 & 0.284 & 0.388604 \tabularnewline
39 & 0.080202 & 0.6758 & 0.250683 \tabularnewline
40 & 0.010919 & 0.092 & 0.463475 \tabularnewline
41 & 0.018267 & 0.1539 & 0.439054 \tabularnewline
42 & -0.009629 & -0.0811 & 0.467781 \tabularnewline
43 & -0.126875 & -1.0691 & 0.14433 \tabularnewline
44 & -0.072281 & -0.609 & 0.272218 \tabularnewline
45 & -0.053833 & -0.4536 & 0.325748 \tabularnewline
46 & -0.02705 & -0.2279 & 0.41018 \tabularnewline
47 & -0.178765 & -1.5063 & 0.068214 \tabularnewline
48 & 0.021824 & 0.1839 & 0.427312 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40041&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]0.226955[/C][C]1.9124[/C][C]0.029933[/C][/ROW]
[ROW][C]2[/C][C]-0.093922[/C][C]-0.7914[/C][C]0.215674[/C][/ROW]
[ROW][C]3[/C][C]0.015367[/C][C]0.1295[/C][C]0.448669[/C][/ROW]
[ROW][C]4[/C][C]-0.112236[/C][C]-0.9457[/C][C]0.173751[/C][/ROW]
[ROW][C]5[/C][C]-0.222021[/C][C]-1.8708[/C][C]0.032749[/C][/ROW]
[ROW][C]6[/C][C]-0.124682[/C][C]-1.0506[/C][C]0.148505[/C][/ROW]
[ROW][C]7[/C][C]-0.207847[/C][C]-1.7513[/C][C]0.042102[/C][/ROW]
[ROW][C]8[/C][C]-0.239261[/C][C]-2.0161[/C][C]0.02379[/C][/ROW]
[ROW][C]9[/C][C]0.041562[/C][C]0.3502[/C][C]0.36361[/C][/ROW]
[ROW][C]10[/C][C]0.140769[/C][C]1.1861[/C][C]0.119761[/C][/ROW]
[ROW][C]11[/C][C]-0.161052[/C][C]-1.357[/C][C]0.089533[/C][/ROW]
[ROW][C]12[/C][C]0.037734[/C][C]0.3179[/C][C]0.375728[/C][/ROW]
[ROW][C]13[/C][C]0.344075[/C][C]2.8992[/C][C]0.002487[/C][/ROW]
[ROW][C]14[/C][C]0.059063[/C][C]0.4977[/C][C]0.310127[/C][/ROW]
[ROW][C]15[/C][C]-0.005182[/C][C]-0.0437[/C][C]0.482648[/C][/ROW]
[ROW][C]16[/C][C]-0.020457[/C][C]-0.1724[/C][C]0.431818[/C][/ROW]
[ROW][C]17[/C][C]0.040752[/C][C]0.3434[/C][C]0.366164[/C][/ROW]
[ROW][C]18[/C][C]0.12814[/C][C]1.0797[/C][C]0.141959[/C][/ROW]
[ROW][C]19[/C][C]-0.116477[/C][C]-0.9815[/C][C]0.164851[/C][/ROW]
[ROW][C]20[/C][C]0.016077[/C][C]0.1355[/C][C]0.446313[/C][/ROW]
[ROW][C]21[/C][C]0.123137[/C][C]1.0376[/C][C]0.151496[/C][/ROW]
[ROW][C]22[/C][C]0.03606[/C][C]0.3038[/C][C]0.381066[/C][/ROW]
[ROW][C]23[/C][C]0.177579[/C][C]1.4963[/C][C]0.069502[/C][/ROW]
[ROW][C]24[/C][C]0.04891[/C][C]0.4121[/C][C]0.340746[/C][/ROW]
[ROW][C]25[/C][C]-0.075542[/C][C]-0.6365[/C][C]0.263241[/C][/ROW]
[ROW][C]26[/C][C]-0.153712[/C][C]-1.2952[/C][C]0.099724[/C][/ROW]
[ROW][C]27[/C][C]-0.019357[/C][C]-0.1631[/C][C]0.435449[/C][/ROW]
[ROW][C]28[/C][C]-0.027676[/C][C]-0.2332[/C][C]0.408138[/C][/ROW]
[ROW][C]29[/C][C]0.017157[/C][C]0.1446[/C][C]0.442733[/C][/ROW]
[ROW][C]30[/C][C]-0.076384[/C][C]-0.6436[/C][C]0.260947[/C][/ROW]
[ROW][C]31[/C][C]0.000995[/C][C]0.0084[/C][C]0.496668[/C][/ROW]
[ROW][C]32[/C][C]-0.131556[/C][C]-1.1085[/C][C]0.135692[/C][/ROW]
[ROW][C]33[/C][C]0.082315[/C][C]0.6936[/C][C]0.245099[/C][/ROW]
[ROW][C]34[/C][C]-0.07706[/C][C]-0.6493[/C][C]0.259114[/C][/ROW]
[ROW][C]35[/C][C]0.047803[/C][C]0.4028[/C][C]0.344154[/C][/ROW]
[ROW][C]36[/C][C]-0.083829[/C][C]-0.7064[/C][C]0.241139[/C][/ROW]
[ROW][C]37[/C][C]-0.065412[/C][C]-0.5512[/C][C]0.291622[/C][/ROW]
[ROW][C]38[/C][C]0.033709[/C][C]0.284[/C][C]0.388604[/C][/ROW]
[ROW][C]39[/C][C]0.080202[/C][C]0.6758[/C][C]0.250683[/C][/ROW]
[ROW][C]40[/C][C]0.010919[/C][C]0.092[/C][C]0.463475[/C][/ROW]
[ROW][C]41[/C][C]0.018267[/C][C]0.1539[/C][C]0.439054[/C][/ROW]
[ROW][C]42[/C][C]-0.009629[/C][C]-0.0811[/C][C]0.467781[/C][/ROW]
[ROW][C]43[/C][C]-0.126875[/C][C]-1.0691[/C][C]0.14433[/C][/ROW]
[ROW][C]44[/C][C]-0.072281[/C][C]-0.609[/C][C]0.272218[/C][/ROW]
[ROW][C]45[/C][C]-0.053833[/C][C]-0.4536[/C][C]0.325748[/C][/ROW]
[ROW][C]46[/C][C]-0.02705[/C][C]-0.2279[/C][C]0.41018[/C][/ROW]
[ROW][C]47[/C][C]-0.178765[/C][C]-1.5063[/C][C]0.068214[/C][/ROW]
[ROW][C]48[/C][C]0.021824[/C][C]0.1839[/C][C]0.427312[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40041&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40041&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	0.226955	1.9124	0.029933
2	-0.093922	-0.7914	0.215674
3	0.015367	0.1295	0.448669
4	-0.112236	-0.9457	0.173751
5	-0.222021	-1.8708	0.032749
6	-0.124682	-1.0506	0.148505
7	-0.207847	-1.7513	0.042102
8	-0.239261	-2.0161	0.02379
9	0.041562	0.3502	0.36361
10	0.140769	1.1861	0.119761
11	-0.161052	-1.357	0.089533
12	0.037734	0.3179	0.375728
13	0.344075	2.8992	0.002487
14	0.059063	0.4977	0.310127
15	-0.005182	-0.0437	0.482648
16	-0.020457	-0.1724	0.431818
17	0.040752	0.3434	0.366164
18	0.12814	1.0797	0.141959
19	-0.116477	-0.9815	0.164851
20	0.016077	0.1355	0.446313
21	0.123137	1.0376	0.151496
22	0.03606	0.3038	0.381066
23	0.177579	1.4963	0.069502
24	0.04891	0.4121	0.340746
25	-0.075542	-0.6365	0.263241
26	-0.153712	-1.2952	0.099724
27	-0.019357	-0.1631	0.435449
28	-0.027676	-0.2332	0.408138
29	0.017157	0.1446	0.442733
30	-0.076384	-0.6436	0.260947
31	0.000995	0.0084	0.496668
32	-0.131556	-1.1085	0.135692
33	0.082315	0.6936	0.245099
34	-0.07706	-0.6493	0.259114
35	0.047803	0.4028	0.344154
36	-0.083829	-0.7064	0.241139
37	-0.065412	-0.5512	0.291622
38	0.033709	0.284	0.388604
39	0.080202	0.6758	0.250683
40	0.010919	0.092	0.463475
41	0.018267	0.1539	0.439054
42	-0.009629	-0.0811	0.467781
43	-0.126875	-1.0691	0.14433
44	-0.072281	-0.609	0.272218
45	-0.053833	-0.4536	0.325748
46	-0.02705	-0.2279	0.41018
47	-0.178765	-1.5063	0.068214
48	0.021824	0.1839	0.427312

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