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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 11 Dec 2008 15:59:07 -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/2008/Dec/11/t1229036365trk68gjrd9f0o2n.htm/, Retrieved Sun, 19 May 2024 03:59:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32469, Retrieved Sun, 19 May 2024 03:59:44 +0000

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User-defined keywords

Estimated Impact

208

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

-       [(Partial) Autocorrelation Function] [] [2008-12-11 22:59:07] [d4705a1369b459b79477be0edba48b1a] [Current]
-         [(Partial) Autocorrelation Function] [] [2008-12-17 13:38:30] [74be16979710d4c4e7c6647856088456] 
-    D    [(Partial) Autocorrelation Function] [roger dirkx 6BIS] [2009-01-13 20:33:00] [5f0d01c8f13cc00206c5540b026c54d8] 
-    D      [(Partial) Autocorrelation Function] [roger dirkx 6BIS] [2009-01-13 20:43:34] [5f0d01c8f13cc00206c5540b026c54d8] 

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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=32469&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=32469&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32469&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	-0.131039	-1.1119	0.13494
2	0.129227	1.0965	0.138251
3	-0.132246	-1.1221	0.132764
4	-0.045894	-0.3894	0.349057
5	-0.307367	-2.6081	0.005532
6	-0.047101	-0.3997	0.345292
7	0.039251	0.3331	0.370029
8	0.038647	0.3279	0.371957
9	0.038043	0.3228	0.373888
10	0.03744	0.3177	0.375821
11	-0.129831	-1.1017	0.137141
12	0.130435	1.1068	0.136037
13	-0.217995	-1.8498	0.034227
14	0.310386	2.6337	0.005166
15	-0.038043	-0.3228	0.373888
16	0.214976	1.8241	0.036141
17	-0.046498	-0.3945	0.347172
18	-0.047101	-0.3997	0.345292
19	-0.134662	-1.1426	0.128486
20	-0.048309	-0.4099	0.341542
21	-0.03442	-0.2921	0.385538
22	-0.027778	-0.2357	0.407166
23	0.065821	0.5585	0.289114
24	0.057971	0.4919	0.312143
25	-0.029589	-0.2511	0.401236
26	0.056763	0.4817	0.315757
27	-0.117754	-0.9992	0.160529
28	0.055556	0.4714	0.319389
29	-0.032005	-0.2716	0.393365
30	0.141304	1.199	0.117228
31	-0.033213	-0.2818	0.389446
32	-0.033816	-0.2869	0.38749
33	-0.03442	-0.2921	0.385538
34	-0.035024	-0.2972	0.383589
35	-0.115338	-0.9787	0.165508
36	-0.021739	-0.1845	0.427085
37	0.07186	0.6098	0.271973
38	-0.008454	-0.0717	0.471506
39	-0.009058	-0.0769	0.469474
40	0.077295	0.6559	0.257
41	-0.010266	-0.0871	0.465414
42	-0.01087	-0.0922	0.463385
43	-0.011473	-0.0974	0.461357
44	-0.012077	-0.1025	0.459331
45	-0.012681	-0.1076	0.457305
46	-0.013285	-0.1127	0.45528
47	-0.013889	-0.1179	0.453257
48	-0.014493	-0.123	0.451235

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.131039 & -1.1119 & 0.13494 \tabularnewline
2 & 0.129227 & 1.0965 & 0.138251 \tabularnewline
3 & -0.132246 & -1.1221 & 0.132764 \tabularnewline
4 & -0.045894 & -0.3894 & 0.349057 \tabularnewline
5 & -0.307367 & -2.6081 & 0.005532 \tabularnewline
6 & -0.047101 & -0.3997 & 0.345292 \tabularnewline
7 & 0.039251 & 0.3331 & 0.370029 \tabularnewline
8 & 0.038647 & 0.3279 & 0.371957 \tabularnewline
9 & 0.038043 & 0.3228 & 0.373888 \tabularnewline
10 & 0.03744 & 0.3177 & 0.375821 \tabularnewline
11 & -0.129831 & -1.1017 & 0.137141 \tabularnewline
12 & 0.130435 & 1.1068 & 0.136037 \tabularnewline
13 & -0.217995 & -1.8498 & 0.034227 \tabularnewline
14 & 0.310386 & 2.6337 & 0.005166 \tabularnewline
15 & -0.038043 & -0.3228 & 0.373888 \tabularnewline
16 & 0.214976 & 1.8241 & 0.036141 \tabularnewline
17 & -0.046498 & -0.3945 & 0.347172 \tabularnewline
18 & -0.047101 & -0.3997 & 0.345292 \tabularnewline
19 & -0.134662 & -1.1426 & 0.128486 \tabularnewline
20 & -0.048309 & -0.4099 & 0.341542 \tabularnewline
21 & -0.03442 & -0.2921 & 0.385538 \tabularnewline
22 & -0.027778 & -0.2357 & 0.407166 \tabularnewline
23 & 0.065821 & 0.5585 & 0.289114 \tabularnewline
24 & 0.057971 & 0.4919 & 0.312143 \tabularnewline
25 & -0.029589 & -0.2511 & 0.401236 \tabularnewline
26 & 0.056763 & 0.4817 & 0.315757 \tabularnewline
27 & -0.117754 & -0.9992 & 0.160529 \tabularnewline
28 & 0.055556 & 0.4714 & 0.319389 \tabularnewline
29 & -0.032005 & -0.2716 & 0.393365 \tabularnewline
30 & 0.141304 & 1.199 & 0.117228 \tabularnewline
31 & -0.033213 & -0.2818 & 0.389446 \tabularnewline
32 & -0.033816 & -0.2869 & 0.38749 \tabularnewline
33 & -0.03442 & -0.2921 & 0.385538 \tabularnewline
34 & -0.035024 & -0.2972 & 0.383589 \tabularnewline
35 & -0.115338 & -0.9787 & 0.165508 \tabularnewline
36 & -0.021739 & -0.1845 & 0.427085 \tabularnewline
37 & 0.07186 & 0.6098 & 0.271973 \tabularnewline
38 & -0.008454 & -0.0717 & 0.471506 \tabularnewline
39 & -0.009058 & -0.0769 & 0.469474 \tabularnewline
40 & 0.077295 & 0.6559 & 0.257 \tabularnewline
41 & -0.010266 & -0.0871 & 0.465414 \tabularnewline
42 & -0.01087 & -0.0922 & 0.463385 \tabularnewline
43 & -0.011473 & -0.0974 & 0.461357 \tabularnewline
44 & -0.012077 & -0.1025 & 0.459331 \tabularnewline
45 & -0.012681 & -0.1076 & 0.457305 \tabularnewline
46 & -0.013285 & -0.1127 & 0.45528 \tabularnewline
47 & -0.013889 & -0.1179 & 0.453257 \tabularnewline
48 & -0.014493 & -0.123 & 0.451235 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32469&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]-0.131039[/C][C]-1.1119[/C][C]0.13494[/C][/ROW]
[ROW][C]2[/C][C]0.129227[/C][C]1.0965[/C][C]0.138251[/C][/ROW]
[ROW][C]3[/C][C]-0.132246[/C][C]-1.1221[/C][C]0.132764[/C][/ROW]
[ROW][C]4[/C][C]-0.045894[/C][C]-0.3894[/C][C]0.349057[/C][/ROW]
[ROW][C]5[/C][C]-0.307367[/C][C]-2.6081[/C][C]0.005532[/C][/ROW]
[ROW][C]6[/C][C]-0.047101[/C][C]-0.3997[/C][C]0.345292[/C][/ROW]
[ROW][C]7[/C][C]0.039251[/C][C]0.3331[/C][C]0.370029[/C][/ROW]
[ROW][C]8[/C][C]0.038647[/C][C]0.3279[/C][C]0.371957[/C][/ROW]
[ROW][C]9[/C][C]0.038043[/C][C]0.3228[/C][C]0.373888[/C][/ROW]
[ROW][C]10[/C][C]0.03744[/C][C]0.3177[/C][C]0.375821[/C][/ROW]
[ROW][C]11[/C][C]-0.129831[/C][C]-1.1017[/C][C]0.137141[/C][/ROW]
[ROW][C]12[/C][C]0.130435[/C][C]1.1068[/C][C]0.136037[/C][/ROW]
[ROW][C]13[/C][C]-0.217995[/C][C]-1.8498[/C][C]0.034227[/C][/ROW]
[ROW][C]14[/C][C]0.310386[/C][C]2.6337[/C][C]0.005166[/C][/ROW]
[ROW][C]15[/C][C]-0.038043[/C][C]-0.3228[/C][C]0.373888[/C][/ROW]
[ROW][C]16[/C][C]0.214976[/C][C]1.8241[/C][C]0.036141[/C][/ROW]
[ROW][C]17[/C][C]-0.046498[/C][C]-0.3945[/C][C]0.347172[/C][/ROW]
[ROW][C]18[/C][C]-0.047101[/C][C]-0.3997[/C][C]0.345292[/C][/ROW]
[ROW][C]19[/C][C]-0.134662[/C][C]-1.1426[/C][C]0.128486[/C][/ROW]
[ROW][C]20[/C][C]-0.048309[/C][C]-0.4099[/C][C]0.341542[/C][/ROW]
[ROW][C]21[/C][C]-0.03442[/C][C]-0.2921[/C][C]0.385538[/C][/ROW]
[ROW][C]22[/C][C]-0.027778[/C][C]-0.2357[/C][C]0.407166[/C][/ROW]
[ROW][C]23[/C][C]0.065821[/C][C]0.5585[/C][C]0.289114[/C][/ROW]
[ROW][C]24[/C][C]0.057971[/C][C]0.4919[/C][C]0.312143[/C][/ROW]
[ROW][C]25[/C][C]-0.029589[/C][C]-0.2511[/C][C]0.401236[/C][/ROW]
[ROW][C]26[/C][C]0.056763[/C][C]0.4817[/C][C]0.315757[/C][/ROW]
[ROW][C]27[/C][C]-0.117754[/C][C]-0.9992[/C][C]0.160529[/C][/ROW]
[ROW][C]28[/C][C]0.055556[/C][C]0.4714[/C][C]0.319389[/C][/ROW]
[ROW][C]29[/C][C]-0.032005[/C][C]-0.2716[/C][C]0.393365[/C][/ROW]
[ROW][C]30[/C][C]0.141304[/C][C]1.199[/C][C]0.117228[/C][/ROW]
[ROW][C]31[/C][C]-0.033213[/C][C]-0.2818[/C][C]0.389446[/C][/ROW]
[ROW][C]32[/C][C]-0.033816[/C][C]-0.2869[/C][C]0.38749[/C][/ROW]
[ROW][C]33[/C][C]-0.03442[/C][C]-0.2921[/C][C]0.385538[/C][/ROW]
[ROW][C]34[/C][C]-0.035024[/C][C]-0.2972[/C][C]0.383589[/C][/ROW]
[ROW][C]35[/C][C]-0.115338[/C][C]-0.9787[/C][C]0.165508[/C][/ROW]
[ROW][C]36[/C][C]-0.021739[/C][C]-0.1845[/C][C]0.427085[/C][/ROW]
[ROW][C]37[/C][C]0.07186[/C][C]0.6098[/C][C]0.271973[/C][/ROW]
[ROW][C]38[/C][C]-0.008454[/C][C]-0.0717[/C][C]0.471506[/C][/ROW]
[ROW][C]39[/C][C]-0.009058[/C][C]-0.0769[/C][C]0.469474[/C][/ROW]
[ROW][C]40[/C][C]0.077295[/C][C]0.6559[/C][C]0.257[/C][/ROW]
[ROW][C]41[/C][C]-0.010266[/C][C]-0.0871[/C][C]0.465414[/C][/ROW]
[ROW][C]42[/C][C]-0.01087[/C][C]-0.0922[/C][C]0.463385[/C][/ROW]
[ROW][C]43[/C][C]-0.011473[/C][C]-0.0974[/C][C]0.461357[/C][/ROW]
[ROW][C]44[/C][C]-0.012077[/C][C]-0.1025[/C][C]0.459331[/C][/ROW]
[ROW][C]45[/C][C]-0.012681[/C][C]-0.1076[/C][C]0.457305[/C][/ROW]
[ROW][C]46[/C][C]-0.013285[/C][C]-0.1127[/C][C]0.45528[/C][/ROW]
[ROW][C]47[/C][C]-0.013889[/C][C]-0.1179[/C][C]0.453257[/C][/ROW]
[ROW][C]48[/C][C]-0.014493[/C][C]-0.123[/C][C]0.451235[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32469&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32469&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	-0.131039	-1.1119	0.13494
2	0.129227	1.0965	0.138251
3	-0.132246	-1.1221	0.132764
4	-0.045894	-0.3894	0.349057
5	-0.307367	-2.6081	0.005532
6	-0.047101	-0.3997	0.345292
7	0.039251	0.3331	0.370029
8	0.038647	0.3279	0.371957
9	0.038043	0.3228	0.373888
10	0.03744	0.3177	0.375821
11	-0.129831	-1.1017	0.137141
12	0.130435	1.1068	0.136037
13	-0.217995	-1.8498	0.034227
14	0.310386	2.6337	0.005166
15	-0.038043	-0.3228	0.373888
16	0.214976	1.8241	0.036141
17	-0.046498	-0.3945	0.347172
18	-0.047101	-0.3997	0.345292
19	-0.134662	-1.1426	0.128486
20	-0.048309	-0.4099	0.341542
21	-0.03442	-0.2921	0.385538
22	-0.027778	-0.2357	0.407166
23	0.065821	0.5585	0.289114
24	0.057971	0.4919	0.312143
25	-0.029589	-0.2511	0.401236
26	0.056763	0.4817	0.315757
27	-0.117754	-0.9992	0.160529
28	0.055556	0.4714	0.319389
29	-0.032005	-0.2716	0.393365
30	0.141304	1.199	0.117228
31	-0.033213	-0.2818	0.389446
32	-0.033816	-0.2869	0.38749
33	-0.03442	-0.2921	0.385538
34	-0.035024	-0.2972	0.383589
35	-0.115338	-0.9787	0.165508
36	-0.021739	-0.1845	0.427085
37	0.07186	0.6098	0.271973
38	-0.008454	-0.0717	0.471506
39	-0.009058	-0.0769	0.469474
40	0.077295	0.6559	0.257
41	-0.010266	-0.0871	0.465414
42	-0.01087	-0.0922	0.463385
43	-0.011473	-0.0974	0.461357
44	-0.012077	-0.1025	0.459331
45	-0.012681	-0.1076	0.457305
46	-0.013285	-0.1127	0.45528
47	-0.013889	-0.1179	0.453257
48	-0.014493	-0.123	0.451235

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.131039	-1.1119	0.13494
2	0.114014	0.9674	0.168282
3	-0.105461	-0.8949	0.186919
4	-0.090307	-0.7663	0.223008
5	-0.309948	-2.63	0.005217
6	-0.142086	-1.2056	0.115952
7	0.062685	0.5319	0.298216
8	-0.000985	-0.0084	0.496676
9	-0.043504	-0.3691	0.356551
10	-0.080318	-0.6815	0.248865
11	-0.215899	-1.832	0.035546
12	0.132597	1.1251	0.132136
13	-0.164699	-1.3975	0.083274
14	0.26376	2.2381	0.014155
15	0.057939	0.4916	0.312238
16	0.089287	0.7576	0.225574
17	0.090599	0.7688	0.222276
18	-0.136606	-1.1591	0.125114
19	0.027969	0.2373	0.406541
20	0.087456	0.7421	0.230223
21	0.03119	0.2647	0.396016
22	0.011261	0.0956	0.462071
23	-0.049717	-0.4219	0.337191
24	-0.051781	-0.4394	0.330852
25	0.068832	0.5841	0.280504
26	-0.04407	-0.3739	0.354771
27	0.013249	0.1124	0.455401
28	-0.069526	-0.59	0.278535
29	-0.010958	-0.093	0.463087
30	0.106043	0.8998	0.185611
31	-0.076825	-0.6519	0.258277
32	-0.111729	-0.9481	0.173137
33	-0.022349	-0.1896	0.425063
34	0.016707	0.1418	0.443832
35	-0.062848	-0.5333	0.297741
36	-0.062779	-0.5327	0.29794
37	-0.025514	-0.2165	0.414607
38	-0.050851	-0.4315	0.333701
39	-0.066144	-0.5613	0.288184
40	-0.010757	-0.0913	0.463764
41	0.018303	0.1553	0.438507
42	-0.014709	-0.1248	0.450512
43	0.028937	0.2455	0.403369
44	-0.105957	-0.8991	0.185805
45	-0.044352	-0.3763	0.353885
46	-0.014754	-0.1252	0.45036
47	0.029991	0.2545	0.399923
48	0.0333	0.2826	0.389164

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.131039 & -1.1119 & 0.13494 \tabularnewline
2 & 0.114014 & 0.9674 & 0.168282 \tabularnewline
3 & -0.105461 & -0.8949 & 0.186919 \tabularnewline
4 & -0.090307 & -0.7663 & 0.223008 \tabularnewline
5 & -0.309948 & -2.63 & 0.005217 \tabularnewline
6 & -0.142086 & -1.2056 & 0.115952 \tabularnewline
7 & 0.062685 & 0.5319 & 0.298216 \tabularnewline
8 & -0.000985 & -0.0084 & 0.496676 \tabularnewline
9 & -0.043504 & -0.3691 & 0.356551 \tabularnewline
10 & -0.080318 & -0.6815 & 0.248865 \tabularnewline
11 & -0.215899 & -1.832 & 0.035546 \tabularnewline
12 & 0.132597 & 1.1251 & 0.132136 \tabularnewline
13 & -0.164699 & -1.3975 & 0.083274 \tabularnewline
14 & 0.26376 & 2.2381 & 0.014155 \tabularnewline
15 & 0.057939 & 0.4916 & 0.312238 \tabularnewline
16 & 0.089287 & 0.7576 & 0.225574 \tabularnewline
17 & 0.090599 & 0.7688 & 0.222276 \tabularnewline
18 & -0.136606 & -1.1591 & 0.125114 \tabularnewline
19 & 0.027969 & 0.2373 & 0.406541 \tabularnewline
20 & 0.087456 & 0.7421 & 0.230223 \tabularnewline
21 & 0.03119 & 0.2647 & 0.396016 \tabularnewline
22 & 0.011261 & 0.0956 & 0.462071 \tabularnewline
23 & -0.049717 & -0.4219 & 0.337191 \tabularnewline
24 & -0.051781 & -0.4394 & 0.330852 \tabularnewline
25 & 0.068832 & 0.5841 & 0.280504 \tabularnewline
26 & -0.04407 & -0.3739 & 0.354771 \tabularnewline
27 & 0.013249 & 0.1124 & 0.455401 \tabularnewline
28 & -0.069526 & -0.59 & 0.278535 \tabularnewline
29 & -0.010958 & -0.093 & 0.463087 \tabularnewline
30 & 0.106043 & 0.8998 & 0.185611 \tabularnewline
31 & -0.076825 & -0.6519 & 0.258277 \tabularnewline
32 & -0.111729 & -0.9481 & 0.173137 \tabularnewline
33 & -0.022349 & -0.1896 & 0.425063 \tabularnewline
34 & 0.016707 & 0.1418 & 0.443832 \tabularnewline
35 & -0.062848 & -0.5333 & 0.297741 \tabularnewline
36 & -0.062779 & -0.5327 & 0.29794 \tabularnewline
37 & -0.025514 & -0.2165 & 0.414607 \tabularnewline
38 & -0.050851 & -0.4315 & 0.333701 \tabularnewline
39 & -0.066144 & -0.5613 & 0.288184 \tabularnewline
40 & -0.010757 & -0.0913 & 0.463764 \tabularnewline
41 & 0.018303 & 0.1553 & 0.438507 \tabularnewline
42 & -0.014709 & -0.1248 & 0.450512 \tabularnewline
43 & 0.028937 & 0.2455 & 0.403369 \tabularnewline
44 & -0.105957 & -0.8991 & 0.185805 \tabularnewline
45 & -0.044352 & -0.3763 & 0.353885 \tabularnewline
46 & -0.014754 & -0.1252 & 0.45036 \tabularnewline
47 & 0.029991 & 0.2545 & 0.399923 \tabularnewline
48 & 0.0333 & 0.2826 & 0.389164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32469&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]-0.131039[/C][C]-1.1119[/C][C]0.13494[/C][/ROW]
[ROW][C]2[/C][C]0.114014[/C][C]0.9674[/C][C]0.168282[/C][/ROW]
[ROW][C]3[/C][C]-0.105461[/C][C]-0.8949[/C][C]0.186919[/C][/ROW]
[ROW][C]4[/C][C]-0.090307[/C][C]-0.7663[/C][C]0.223008[/C][/ROW]
[ROW][C]5[/C][C]-0.309948[/C][C]-2.63[/C][C]0.005217[/C][/ROW]
[ROW][C]6[/C][C]-0.142086[/C][C]-1.2056[/C][C]0.115952[/C][/ROW]
[ROW][C]7[/C][C]0.062685[/C][C]0.5319[/C][C]0.298216[/C][/ROW]
[ROW][C]8[/C][C]-0.000985[/C][C]-0.0084[/C][C]0.496676[/C][/ROW]
[ROW][C]9[/C][C]-0.043504[/C][C]-0.3691[/C][C]0.356551[/C][/ROW]
[ROW][C]10[/C][C]-0.080318[/C][C]-0.6815[/C][C]0.248865[/C][/ROW]
[ROW][C]11[/C][C]-0.215899[/C][C]-1.832[/C][C]0.035546[/C][/ROW]
[ROW][C]12[/C][C]0.132597[/C][C]1.1251[/C][C]0.132136[/C][/ROW]
[ROW][C]13[/C][C]-0.164699[/C][C]-1.3975[/C][C]0.083274[/C][/ROW]
[ROW][C]14[/C][C]0.26376[/C][C]2.2381[/C][C]0.014155[/C][/ROW]
[ROW][C]15[/C][C]0.057939[/C][C]0.4916[/C][C]0.312238[/C][/ROW]
[ROW][C]16[/C][C]0.089287[/C][C]0.7576[/C][C]0.225574[/C][/ROW]
[ROW][C]17[/C][C]0.090599[/C][C]0.7688[/C][C]0.222276[/C][/ROW]
[ROW][C]18[/C][C]-0.136606[/C][C]-1.1591[/C][C]0.125114[/C][/ROW]
[ROW][C]19[/C][C]0.027969[/C][C]0.2373[/C][C]0.406541[/C][/ROW]
[ROW][C]20[/C][C]0.087456[/C][C]0.7421[/C][C]0.230223[/C][/ROW]
[ROW][C]21[/C][C]0.03119[/C][C]0.2647[/C][C]0.396016[/C][/ROW]
[ROW][C]22[/C][C]0.011261[/C][C]0.0956[/C][C]0.462071[/C][/ROW]
[ROW][C]23[/C][C]-0.049717[/C][C]-0.4219[/C][C]0.337191[/C][/ROW]
[ROW][C]24[/C][C]-0.051781[/C][C]-0.4394[/C][C]0.330852[/C][/ROW]
[ROW][C]25[/C][C]0.068832[/C][C]0.5841[/C][C]0.280504[/C][/ROW]
[ROW][C]26[/C][C]-0.04407[/C][C]-0.3739[/C][C]0.354771[/C][/ROW]
[ROW][C]27[/C][C]0.013249[/C][C]0.1124[/C][C]0.455401[/C][/ROW]
[ROW][C]28[/C][C]-0.069526[/C][C]-0.59[/C][C]0.278535[/C][/ROW]
[ROW][C]29[/C][C]-0.010958[/C][C]-0.093[/C][C]0.463087[/C][/ROW]
[ROW][C]30[/C][C]0.106043[/C][C]0.8998[/C][C]0.185611[/C][/ROW]
[ROW][C]31[/C][C]-0.076825[/C][C]-0.6519[/C][C]0.258277[/C][/ROW]
[ROW][C]32[/C][C]-0.111729[/C][C]-0.9481[/C][C]0.173137[/C][/ROW]
[ROW][C]33[/C][C]-0.022349[/C][C]-0.1896[/C][C]0.425063[/C][/ROW]
[ROW][C]34[/C][C]0.016707[/C][C]0.1418[/C][C]0.443832[/C][/ROW]
[ROW][C]35[/C][C]-0.062848[/C][C]-0.5333[/C][C]0.297741[/C][/ROW]
[ROW][C]36[/C][C]-0.062779[/C][C]-0.5327[/C][C]0.29794[/C][/ROW]
[ROW][C]37[/C][C]-0.025514[/C][C]-0.2165[/C][C]0.414607[/C][/ROW]
[ROW][C]38[/C][C]-0.050851[/C][C]-0.4315[/C][C]0.333701[/C][/ROW]
[ROW][C]39[/C][C]-0.066144[/C][C]-0.5613[/C][C]0.288184[/C][/ROW]
[ROW][C]40[/C][C]-0.010757[/C][C]-0.0913[/C][C]0.463764[/C][/ROW]
[ROW][C]41[/C][C]0.018303[/C][C]0.1553[/C][C]0.438507[/C][/ROW]
[ROW][C]42[/C][C]-0.014709[/C][C]-0.1248[/C][C]0.450512[/C][/ROW]
[ROW][C]43[/C][C]0.028937[/C][C]0.2455[/C][C]0.403369[/C][/ROW]
[ROW][C]44[/C][C]-0.105957[/C][C]-0.8991[/C][C]0.185805[/C][/ROW]
[ROW][C]45[/C][C]-0.044352[/C][C]-0.3763[/C][C]0.353885[/C][/ROW]
[ROW][C]46[/C][C]-0.014754[/C][C]-0.1252[/C][C]0.45036[/C][/ROW]
[ROW][C]47[/C][C]0.029991[/C][C]0.2545[/C][C]0.399923[/C][/ROW]
[ROW][C]48[/C][C]0.0333[/C][C]0.2826[/C][C]0.389164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32469&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32469&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	-0.131039	-1.1119	0.13494
2	0.114014	0.9674	0.168282
3	-0.105461	-0.8949	0.186919
4	-0.090307	-0.7663	0.223008
5	-0.309948	-2.63	0.005217
6	-0.142086	-1.2056	0.115952
7	0.062685	0.5319	0.298216
8	-0.000985	-0.0084	0.496676
9	-0.043504	-0.3691	0.356551
10	-0.080318	-0.6815	0.248865
11	-0.215899	-1.832	0.035546
12	0.132597	1.1251	0.132136
13	-0.164699	-1.3975	0.083274
14	0.26376	2.2381	0.014155
15	0.057939	0.4916	0.312238
16	0.089287	0.7576	0.225574
17	0.090599	0.7688	0.222276
18	-0.136606	-1.1591	0.125114
19	0.027969	0.2373	0.406541
20	0.087456	0.7421	0.230223
21	0.03119	0.2647	0.396016
22	0.011261	0.0956	0.462071
23	-0.049717	-0.4219	0.337191
24	-0.051781	-0.4394	0.330852
25	0.068832	0.5841	0.280504
26	-0.04407	-0.3739	0.354771
27	0.013249	0.1124	0.455401
28	-0.069526	-0.59	0.278535
29	-0.010958	-0.093	0.463087
30	0.106043	0.8998	0.185611
31	-0.076825	-0.6519	0.258277
32	-0.111729	-0.9481	0.173137
33	-0.022349	-0.1896	0.425063
34	0.016707	0.1418	0.443832
35	-0.062848	-0.5333	0.297741
36	-0.062779	-0.5327	0.29794
37	-0.025514	-0.2165	0.414607
38	-0.050851	-0.4315	0.333701
39	-0.066144	-0.5613	0.288184
40	-0.010757	-0.0913	0.463764
41	0.018303	0.1553	0.438507
42	-0.014709	-0.1248	0.450512
43	0.028937	0.2455	0.403369
44	-0.105957	-0.8991	0.185805
45	-0.044352	-0.3763	0.353885
46	-0.014754	-0.1252	0.45036
47	0.029991	0.2545	0.399923
48	0.0333	0.2826	0.389164

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