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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 12 Dec 2008 03:26:36 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/12/t1229077699wyqomxf1nbb1dgh.htm/, Retrieved Sun, 19 May 2024 20:40:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32515, Retrieved Sun, 19 May 2024 20:40:17 +0000

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User-defined keywords

Estimated Impact

235

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

-     [Univariate Data Series] [Run sequence plot...] [2008-12-02 21:55:47] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMP   [Variance Reduction Matrix] [Variance reductio...] [2008-12-12 09:38:10] [ed2ba3b6182103c15c0ab511ae4e6284]
- RM      [Standard Deviation-Mean Plot] [Standard deviatio...] [2008-12-12 09:46:43] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMP       [(Partial) Autocorrelation Function] [(P)ACF tabaksprod...] [2008-12-12 10:09:30] [ed2ba3b6182103c15c0ab511ae4e6284]
-   P           [(Partial) Autocorrelation Function] [] [2008-12-12 10:26:36] [a8228479d4547a92e2d3f176a5299609] [Current]
-                 [(Partial) Autocorrelation Function] [(P)ACF tabakspodu...] [2008-12-12 11:01:48] [ed2ba3b6182103c15c0ab511ae4e6284] 
-   P               [(Partial) Autocorrelation Function] [(P)ACF tabaksprod...] [2008-12-13 12:52:28] [ed2ba3b6182103c15c0ab511ae4e6284] 

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Dataseries X:

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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=32515&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=32515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32515&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	-0.360148	-2.4952	0.008041
2	-0.116148	-0.8047	0.212481
3	0.212462	1.472	0.073777
4	-0.237959	-1.6486	0.052878
5	0.104213	0.722	0.236895
6	0.131045	0.9079	0.184233
7	-0.162335	-1.1247	0.133157
8	0.077477	0.5368	0.29695
9	-0.008105	-0.0562	0.477726
10	-0.085236	-0.5905	0.278802
11	0.120762	0.8367	0.203463
12	-0.202583	-1.4035	0.083447
13	0.018398	0.1275	0.449553
14	0.215149	1.4906	0.071305
15	-0.355828	-2.4653	0.00866
16	0.246471	1.7076	0.047086
17	0.045054	0.3121	0.378141
18	-0.203453	-1.4096	0.082557
19	0.173157	1.1997	0.118078
20	-0.050166	-0.3476	0.364844
21	-0.090065	-0.624	0.267794
22	0.143482	0.9941	0.162587
23	0.040212	0.2786	0.390876
24	-0.22624	-1.5674	0.061791
25	0.096332	0.6674	0.253854
26	-0.104601	-0.7247	0.236079
27	0.078719	0.5454	0.294009
28	0.065312	0.4525	0.326476
29	-0.123379	-0.8548	0.198456
30	0.034941	0.2421	0.404876
31	-0.053321	-0.3694	0.356721
32	-0.006997	-0.0485	0.48077
33	0.123239	0.8538	0.198721
34	-0.092083	-0.638	0.263263
35	-0.018735	-0.1298	0.448635
36	0.081218	0.5627	0.288131
37	-0.036186	-0.2507	0.401558
38	-0.010219	-0.0708	0.471926
39	0.080573	0.5582	0.289642
40	-0.062396	-0.4323	0.333732
41	0.027603	0.1912	0.424573
42	-0.000555	-0.0038	0.498475
43	-0.019002	-0.1316	0.447906
44	-0.000708	-0.0049	0.498053
45	0.006104	0.0423	0.483222
46	-0.008262	-0.0572	0.477296
47	0.012785	0.0886	0.464894
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.360148 & -2.4952 & 0.008041 \tabularnewline
2 & -0.116148 & -0.8047 & 0.212481 \tabularnewline
3 & 0.212462 & 1.472 & 0.073777 \tabularnewline
4 & -0.237959 & -1.6486 & 0.052878 \tabularnewline
5 & 0.104213 & 0.722 & 0.236895 \tabularnewline
6 & 0.131045 & 0.9079 & 0.184233 \tabularnewline
7 & -0.162335 & -1.1247 & 0.133157 \tabularnewline
8 & 0.077477 & 0.5368 & 0.29695 \tabularnewline
9 & -0.008105 & -0.0562 & 0.477726 \tabularnewline
10 & -0.085236 & -0.5905 & 0.278802 \tabularnewline
11 & 0.120762 & 0.8367 & 0.203463 \tabularnewline
12 & -0.202583 & -1.4035 & 0.083447 \tabularnewline
13 & 0.018398 & 0.1275 & 0.449553 \tabularnewline
14 & 0.215149 & 1.4906 & 0.071305 \tabularnewline
15 & -0.355828 & -2.4653 & 0.00866 \tabularnewline
16 & 0.246471 & 1.7076 & 0.047086 \tabularnewline
17 & 0.045054 & 0.3121 & 0.378141 \tabularnewline
18 & -0.203453 & -1.4096 & 0.082557 \tabularnewline
19 & 0.173157 & 1.1997 & 0.118078 \tabularnewline
20 & -0.050166 & -0.3476 & 0.364844 \tabularnewline
21 & -0.090065 & -0.624 & 0.267794 \tabularnewline
22 & 0.143482 & 0.9941 & 0.162587 \tabularnewline
23 & 0.040212 & 0.2786 & 0.390876 \tabularnewline
24 & -0.22624 & -1.5674 & 0.061791 \tabularnewline
25 & 0.096332 & 0.6674 & 0.253854 \tabularnewline
26 & -0.104601 & -0.7247 & 0.236079 \tabularnewline
27 & 0.078719 & 0.5454 & 0.294009 \tabularnewline
28 & 0.065312 & 0.4525 & 0.326476 \tabularnewline
29 & -0.123379 & -0.8548 & 0.198456 \tabularnewline
30 & 0.034941 & 0.2421 & 0.404876 \tabularnewline
31 & -0.053321 & -0.3694 & 0.356721 \tabularnewline
32 & -0.006997 & -0.0485 & 0.48077 \tabularnewline
33 & 0.123239 & 0.8538 & 0.198721 \tabularnewline
34 & -0.092083 & -0.638 & 0.263263 \tabularnewline
35 & -0.018735 & -0.1298 & 0.448635 \tabularnewline
36 & 0.081218 & 0.5627 & 0.288131 \tabularnewline
37 & -0.036186 & -0.2507 & 0.401558 \tabularnewline
38 & -0.010219 & -0.0708 & 0.471926 \tabularnewline
39 & 0.080573 & 0.5582 & 0.289642 \tabularnewline
40 & -0.062396 & -0.4323 & 0.333732 \tabularnewline
41 & 0.027603 & 0.1912 & 0.424573 \tabularnewline
42 & -0.000555 & -0.0038 & 0.498475 \tabularnewline
43 & -0.019002 & -0.1316 & 0.447906 \tabularnewline
44 & -0.000708 & -0.0049 & 0.498053 \tabularnewline
45 & 0.006104 & 0.0423 & 0.483222 \tabularnewline
46 & -0.008262 & -0.0572 & 0.477296 \tabularnewline
47 & 0.012785 & 0.0886 & 0.464894 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32515&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]-0.360148[/C][C]-2.4952[/C][C]0.008041[/C][/ROW]
[ROW][C]2[/C][C]-0.116148[/C][C]-0.8047[/C][C]0.212481[/C][/ROW]
[ROW][C]3[/C][C]0.212462[/C][C]1.472[/C][C]0.073777[/C][/ROW]
[ROW][C]4[/C][C]-0.237959[/C][C]-1.6486[/C][C]0.052878[/C][/ROW]
[ROW][C]5[/C][C]0.104213[/C][C]0.722[/C][C]0.236895[/C][/ROW]
[ROW][C]6[/C][C]0.131045[/C][C]0.9079[/C][C]0.184233[/C][/ROW]
[ROW][C]7[/C][C]-0.162335[/C][C]-1.1247[/C][C]0.133157[/C][/ROW]
[ROW][C]8[/C][C]0.077477[/C][C]0.5368[/C][C]0.29695[/C][/ROW]
[ROW][C]9[/C][C]-0.008105[/C][C]-0.0562[/C][C]0.477726[/C][/ROW]
[ROW][C]10[/C][C]-0.085236[/C][C]-0.5905[/C][C]0.278802[/C][/ROW]
[ROW][C]11[/C][C]0.120762[/C][C]0.8367[/C][C]0.203463[/C][/ROW]
[ROW][C]12[/C][C]-0.202583[/C][C]-1.4035[/C][C]0.083447[/C][/ROW]
[ROW][C]13[/C][C]0.018398[/C][C]0.1275[/C][C]0.449553[/C][/ROW]
[ROW][C]14[/C][C]0.215149[/C][C]1.4906[/C][C]0.071305[/C][/ROW]
[ROW][C]15[/C][C]-0.355828[/C][C]-2.4653[/C][C]0.00866[/C][/ROW]
[ROW][C]16[/C][C]0.246471[/C][C]1.7076[/C][C]0.047086[/C][/ROW]
[ROW][C]17[/C][C]0.045054[/C][C]0.3121[/C][C]0.378141[/C][/ROW]
[ROW][C]18[/C][C]-0.203453[/C][C]-1.4096[/C][C]0.082557[/C][/ROW]
[ROW][C]19[/C][C]0.173157[/C][C]1.1997[/C][C]0.118078[/C][/ROW]
[ROW][C]20[/C][C]-0.050166[/C][C]-0.3476[/C][C]0.364844[/C][/ROW]
[ROW][C]21[/C][C]-0.090065[/C][C]-0.624[/C][C]0.267794[/C][/ROW]
[ROW][C]22[/C][C]0.143482[/C][C]0.9941[/C][C]0.162587[/C][/ROW]
[ROW][C]23[/C][C]0.040212[/C][C]0.2786[/C][C]0.390876[/C][/ROW]
[ROW][C]24[/C][C]-0.22624[/C][C]-1.5674[/C][C]0.061791[/C][/ROW]
[ROW][C]25[/C][C]0.096332[/C][C]0.6674[/C][C]0.253854[/C][/ROW]
[ROW][C]26[/C][C]-0.104601[/C][C]-0.7247[/C][C]0.236079[/C][/ROW]
[ROW][C]27[/C][C]0.078719[/C][C]0.5454[/C][C]0.294009[/C][/ROW]
[ROW][C]28[/C][C]0.065312[/C][C]0.4525[/C][C]0.326476[/C][/ROW]
[ROW][C]29[/C][C]-0.123379[/C][C]-0.8548[/C][C]0.198456[/C][/ROW]
[ROW][C]30[/C][C]0.034941[/C][C]0.2421[/C][C]0.404876[/C][/ROW]
[ROW][C]31[/C][C]-0.053321[/C][C]-0.3694[/C][C]0.356721[/C][/ROW]
[ROW][C]32[/C][C]-0.006997[/C][C]-0.0485[/C][C]0.48077[/C][/ROW]
[ROW][C]33[/C][C]0.123239[/C][C]0.8538[/C][C]0.198721[/C][/ROW]
[ROW][C]34[/C][C]-0.092083[/C][C]-0.638[/C][C]0.263263[/C][/ROW]
[ROW][C]35[/C][C]-0.018735[/C][C]-0.1298[/C][C]0.448635[/C][/ROW]
[ROW][C]36[/C][C]0.081218[/C][C]0.5627[/C][C]0.288131[/C][/ROW]
[ROW][C]37[/C][C]-0.036186[/C][C]-0.2507[/C][C]0.401558[/C][/ROW]
[ROW][C]38[/C][C]-0.010219[/C][C]-0.0708[/C][C]0.471926[/C][/ROW]
[ROW][C]39[/C][C]0.080573[/C][C]0.5582[/C][C]0.289642[/C][/ROW]
[ROW][C]40[/C][C]-0.062396[/C][C]-0.4323[/C][C]0.333732[/C][/ROW]
[ROW][C]41[/C][C]0.027603[/C][C]0.1912[/C][C]0.424573[/C][/ROW]
[ROW][C]42[/C][C]-0.000555[/C][C]-0.0038[/C][C]0.498475[/C][/ROW]
[ROW][C]43[/C][C]-0.019002[/C][C]-0.1316[/C][C]0.447906[/C][/ROW]
[ROW][C]44[/C][C]-0.000708[/C][C]-0.0049[/C][C]0.498053[/C][/ROW]
[ROW][C]45[/C][C]0.006104[/C][C]0.0423[/C][C]0.483222[/C][/ROW]
[ROW][C]46[/C][C]-0.008262[/C][C]-0.0572[/C][C]0.477296[/C][/ROW]
[ROW][C]47[/C][C]0.012785[/C][C]0.0886[/C][C]0.464894[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32515&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	-0.360148	-2.4952	0.008041
2	-0.116148	-0.8047	0.212481
3	0.212462	1.472	0.073777
4	-0.237959	-1.6486	0.052878
5	0.104213	0.722	0.236895
6	0.131045	0.9079	0.184233
7	-0.162335	-1.1247	0.133157
8	0.077477	0.5368	0.29695
9	-0.008105	-0.0562	0.477726
10	-0.085236	-0.5905	0.278802
11	0.120762	0.8367	0.203463
12	-0.202583	-1.4035	0.083447
13	0.018398	0.1275	0.449553
14	0.215149	1.4906	0.071305
15	-0.355828	-2.4653	0.00866
16	0.246471	1.7076	0.047086
17	0.045054	0.3121	0.378141
18	-0.203453	-1.4096	0.082557
19	0.173157	1.1997	0.118078
20	-0.050166	-0.3476	0.364844
21	-0.090065	-0.624	0.267794
22	0.143482	0.9941	0.162587
23	0.040212	0.2786	0.390876
24	-0.22624	-1.5674	0.061791
25	0.096332	0.6674	0.253854
26	-0.104601	-0.7247	0.236079
27	0.078719	0.5454	0.294009
28	0.065312	0.4525	0.326476
29	-0.123379	-0.8548	0.198456
30	0.034941	0.2421	0.404876
31	-0.053321	-0.3694	0.356721
32	-0.006997	-0.0485	0.48077
33	0.123239	0.8538	0.198721
34	-0.092083	-0.638	0.263263
35	-0.018735	-0.1298	0.448635
36	0.081218	0.5627	0.288131
37	-0.036186	-0.2507	0.401558
38	-0.010219	-0.0708	0.471926
39	0.080573	0.5582	0.289642
40	-0.062396	-0.4323	0.333732
41	0.027603	0.1912	0.424573
42	-0.000555	-0.0038	0.498475
43	-0.019002	-0.1316	0.447906
44	-0.000708	-0.0049	0.498053
45	0.006104	0.0423	0.483222
46	-0.008262	-0.0572	0.477296
47	0.012785	0.0886	0.464894
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.360148	-2.4952	0.008041
2	-0.282496	-1.9572	0.028077
3	0.071268	0.4938	0.311864
4	-0.185026	-1.2819	0.103018
5	-0.003617	-0.0251	0.490055
6	0.110292	0.7641	0.224266
7	-0.003145	-0.0218	0.491354
8	0.014286	0.099	0.460784
9	-0.014167	-0.0981	0.461111
10	-0.040058	-0.2775	0.391283
11	0.032252	0.2234	0.412067
12	-0.20879	-1.4465	0.077263
13	-0.118234	-0.8192	0.208374
14	0.117843	0.8164	0.20914
15	-0.246373	-1.7069	0.047149
16	0.067694	0.469	0.320598
17	0.065085	0.4509	0.327038
18	0.024493	0.1697	0.432983
19	-0.00329	-0.0228	0.490953
20	0.001251	0.0087	0.496561
21	-0.0011	-0.0076	0.496975
22	-0.018744	-0.1299	0.448609
23	0.136175	0.9434	0.175089
24	-0.218209	-1.5118	0.068571
25	-0.122479	-0.8486	0.20017
26	-0.162084	-1.1229	0.133522
27	-0.0392	-0.2716	0.393554
28	-0.007263	-0.0503	0.480039
29	0.038883	0.2694	0.394393
30	-0.102378	-0.7093	0.240785
31	-0.022615	-0.1567	0.438078
32	0.001322	0.0092	0.496365
33	0.02463	0.1706	0.432611
34	-0.002873	-0.0199	0.4921
35	-0.031868	-0.2208	0.413098
36	-0.07424	-0.5144	0.304683
37	-0.047314	-0.3278	0.372244
38	0.012482	0.0865	0.465724
39	-0.099858	-0.6918	0.246187
40	0.065549	0.4541	0.325889
41	-0.003987	-0.0276	0.48904
42	-0.024695	-0.1711	0.432434
43	0.017893	0.124	0.45093
44	-0.056871	-0.394	0.347658
45	-0.025353	-0.1756	0.430654
46	-0.039661	-0.2748	0.392332
47	0.04844	0.3356	0.369317
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.360148 & -2.4952 & 0.008041 \tabularnewline
2 & -0.282496 & -1.9572 & 0.028077 \tabularnewline
3 & 0.071268 & 0.4938 & 0.311864 \tabularnewline
4 & -0.185026 & -1.2819 & 0.103018 \tabularnewline
5 & -0.003617 & -0.0251 & 0.490055 \tabularnewline
6 & 0.110292 & 0.7641 & 0.224266 \tabularnewline
7 & -0.003145 & -0.0218 & 0.491354 \tabularnewline
8 & 0.014286 & 0.099 & 0.460784 \tabularnewline
9 & -0.014167 & -0.0981 & 0.461111 \tabularnewline
10 & -0.040058 & -0.2775 & 0.391283 \tabularnewline
11 & 0.032252 & 0.2234 & 0.412067 \tabularnewline
12 & -0.20879 & -1.4465 & 0.077263 \tabularnewline
13 & -0.118234 & -0.8192 & 0.208374 \tabularnewline
14 & 0.117843 & 0.8164 & 0.20914 \tabularnewline
15 & -0.246373 & -1.7069 & 0.047149 \tabularnewline
16 & 0.067694 & 0.469 & 0.320598 \tabularnewline
17 & 0.065085 & 0.4509 & 0.327038 \tabularnewline
18 & 0.024493 & 0.1697 & 0.432983 \tabularnewline
19 & -0.00329 & -0.0228 & 0.490953 \tabularnewline
20 & 0.001251 & 0.0087 & 0.496561 \tabularnewline
21 & -0.0011 & -0.0076 & 0.496975 \tabularnewline
22 & -0.018744 & -0.1299 & 0.448609 \tabularnewline
23 & 0.136175 & 0.9434 & 0.175089 \tabularnewline
24 & -0.218209 & -1.5118 & 0.068571 \tabularnewline
25 & -0.122479 & -0.8486 & 0.20017 \tabularnewline
26 & -0.162084 & -1.1229 & 0.133522 \tabularnewline
27 & -0.0392 & -0.2716 & 0.393554 \tabularnewline
28 & -0.007263 & -0.0503 & 0.480039 \tabularnewline
29 & 0.038883 & 0.2694 & 0.394393 \tabularnewline
30 & -0.102378 & -0.7093 & 0.240785 \tabularnewline
31 & -0.022615 & -0.1567 & 0.438078 \tabularnewline
32 & 0.001322 & 0.0092 & 0.496365 \tabularnewline
33 & 0.02463 & 0.1706 & 0.432611 \tabularnewline
34 & -0.002873 & -0.0199 & 0.4921 \tabularnewline
35 & -0.031868 & -0.2208 & 0.413098 \tabularnewline
36 & -0.07424 & -0.5144 & 0.304683 \tabularnewline
37 & -0.047314 & -0.3278 & 0.372244 \tabularnewline
38 & 0.012482 & 0.0865 & 0.465724 \tabularnewline
39 & -0.099858 & -0.6918 & 0.246187 \tabularnewline
40 & 0.065549 & 0.4541 & 0.325889 \tabularnewline
41 & -0.003987 & -0.0276 & 0.48904 \tabularnewline
42 & -0.024695 & -0.1711 & 0.432434 \tabularnewline
43 & 0.017893 & 0.124 & 0.45093 \tabularnewline
44 & -0.056871 & -0.394 & 0.347658 \tabularnewline
45 & -0.025353 & -0.1756 & 0.430654 \tabularnewline
46 & -0.039661 & -0.2748 & 0.392332 \tabularnewline
47 & 0.04844 & 0.3356 & 0.369317 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32515&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]-0.360148[/C][C]-2.4952[/C][C]0.008041[/C][/ROW]
[ROW][C]2[/C][C]-0.282496[/C][C]-1.9572[/C][C]0.028077[/C][/ROW]
[ROW][C]3[/C][C]0.071268[/C][C]0.4938[/C][C]0.311864[/C][/ROW]
[ROW][C]4[/C][C]-0.185026[/C][C]-1.2819[/C][C]0.103018[/C][/ROW]
[ROW][C]5[/C][C]-0.003617[/C][C]-0.0251[/C][C]0.490055[/C][/ROW]
[ROW][C]6[/C][C]0.110292[/C][C]0.7641[/C][C]0.224266[/C][/ROW]
[ROW][C]7[/C][C]-0.003145[/C][C]-0.0218[/C][C]0.491354[/C][/ROW]
[ROW][C]8[/C][C]0.014286[/C][C]0.099[/C][C]0.460784[/C][/ROW]
[ROW][C]9[/C][C]-0.014167[/C][C]-0.0981[/C][C]0.461111[/C][/ROW]
[ROW][C]10[/C][C]-0.040058[/C][C]-0.2775[/C][C]0.391283[/C][/ROW]
[ROW][C]11[/C][C]0.032252[/C][C]0.2234[/C][C]0.412067[/C][/ROW]
[ROW][C]12[/C][C]-0.20879[/C][C]-1.4465[/C][C]0.077263[/C][/ROW]
[ROW][C]13[/C][C]-0.118234[/C][C]-0.8192[/C][C]0.208374[/C][/ROW]
[ROW][C]14[/C][C]0.117843[/C][C]0.8164[/C][C]0.20914[/C][/ROW]
[ROW][C]15[/C][C]-0.246373[/C][C]-1.7069[/C][C]0.047149[/C][/ROW]
[ROW][C]16[/C][C]0.067694[/C][C]0.469[/C][C]0.320598[/C][/ROW]
[ROW][C]17[/C][C]0.065085[/C][C]0.4509[/C][C]0.327038[/C][/ROW]
[ROW][C]18[/C][C]0.024493[/C][C]0.1697[/C][C]0.432983[/C][/ROW]
[ROW][C]19[/C][C]-0.00329[/C][C]-0.0228[/C][C]0.490953[/C][/ROW]
[ROW][C]20[/C][C]0.001251[/C][C]0.0087[/C][C]0.496561[/C][/ROW]
[ROW][C]21[/C][C]-0.0011[/C][C]-0.0076[/C][C]0.496975[/C][/ROW]
[ROW][C]22[/C][C]-0.018744[/C][C]-0.1299[/C][C]0.448609[/C][/ROW]
[ROW][C]23[/C][C]0.136175[/C][C]0.9434[/C][C]0.175089[/C][/ROW]
[ROW][C]24[/C][C]-0.218209[/C][C]-1.5118[/C][C]0.068571[/C][/ROW]
[ROW][C]25[/C][C]-0.122479[/C][C]-0.8486[/C][C]0.20017[/C][/ROW]
[ROW][C]26[/C][C]-0.162084[/C][C]-1.1229[/C][C]0.133522[/C][/ROW]
[ROW][C]27[/C][C]-0.0392[/C][C]-0.2716[/C][C]0.393554[/C][/ROW]
[ROW][C]28[/C][C]-0.007263[/C][C]-0.0503[/C][C]0.480039[/C][/ROW]
[ROW][C]29[/C][C]0.038883[/C][C]0.2694[/C][C]0.394393[/C][/ROW]
[ROW][C]30[/C][C]-0.102378[/C][C]-0.7093[/C][C]0.240785[/C][/ROW]
[ROW][C]31[/C][C]-0.022615[/C][C]-0.1567[/C][C]0.438078[/C][/ROW]
[ROW][C]32[/C][C]0.001322[/C][C]0.0092[/C][C]0.496365[/C][/ROW]
[ROW][C]33[/C][C]0.02463[/C][C]0.1706[/C][C]0.432611[/C][/ROW]
[ROW][C]34[/C][C]-0.002873[/C][C]-0.0199[/C][C]0.4921[/C][/ROW]
[ROW][C]35[/C][C]-0.031868[/C][C]-0.2208[/C][C]0.413098[/C][/ROW]
[ROW][C]36[/C][C]-0.07424[/C][C]-0.5144[/C][C]0.304683[/C][/ROW]
[ROW][C]37[/C][C]-0.047314[/C][C]-0.3278[/C][C]0.372244[/C][/ROW]
[ROW][C]38[/C][C]0.012482[/C][C]0.0865[/C][C]0.465724[/C][/ROW]
[ROW][C]39[/C][C]-0.099858[/C][C]-0.6918[/C][C]0.246187[/C][/ROW]
[ROW][C]40[/C][C]0.065549[/C][C]0.4541[/C][C]0.325889[/C][/ROW]
[ROW][C]41[/C][C]-0.003987[/C][C]-0.0276[/C][C]0.48904[/C][/ROW]
[ROW][C]42[/C][C]-0.024695[/C][C]-0.1711[/C][C]0.432434[/C][/ROW]
[ROW][C]43[/C][C]0.017893[/C][C]0.124[/C][C]0.45093[/C][/ROW]
[ROW][C]44[/C][C]-0.056871[/C][C]-0.394[/C][C]0.347658[/C][/ROW]
[ROW][C]45[/C][C]-0.025353[/C][C]-0.1756[/C][C]0.430654[/C][/ROW]
[ROW][C]46[/C][C]-0.039661[/C][C]-0.2748[/C][C]0.392332[/C][/ROW]
[ROW][C]47[/C][C]0.04844[/C][C]0.3356[/C][C]0.369317[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32515&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32515&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	-0.360148	-2.4952	0.008041
2	-0.282496	-1.9572	0.028077
3	0.071268	0.4938	0.311864
4	-0.185026	-1.2819	0.103018
5	-0.003617	-0.0251	0.490055
6	0.110292	0.7641	0.224266
7	-0.003145	-0.0218	0.491354
8	0.014286	0.099	0.460784
9	-0.014167	-0.0981	0.461111
10	-0.040058	-0.2775	0.391283
11	0.032252	0.2234	0.412067
12	-0.20879	-1.4465	0.077263
13	-0.118234	-0.8192	0.208374
14	0.117843	0.8164	0.20914
15	-0.246373	-1.7069	0.047149
16	0.067694	0.469	0.320598
17	0.065085	0.4509	0.327038
18	0.024493	0.1697	0.432983
19	-0.00329	-0.0228	0.490953
20	0.001251	0.0087	0.496561
21	-0.0011	-0.0076	0.496975
22	-0.018744	-0.1299	0.448609
23	0.136175	0.9434	0.175089
24	-0.218209	-1.5118	0.068571
25	-0.122479	-0.8486	0.20017
26	-0.162084	-1.1229	0.133522
27	-0.0392	-0.2716	0.393554
28	-0.007263	-0.0503	0.480039
29	0.038883	0.2694	0.394393
30	-0.102378	-0.7093	0.240785
31	-0.022615	-0.1567	0.438078
32	0.001322	0.0092	0.496365
33	0.02463	0.1706	0.432611
34	-0.002873	-0.0199	0.4921
35	-0.031868	-0.2208	0.413098
36	-0.07424	-0.5144	0.304683
37	-0.047314	-0.3278	0.372244
38	0.012482	0.0865	0.465724
39	-0.099858	-0.6918	0.246187
40	0.065549	0.4541	0.325889
41	-0.003987	-0.0276	0.48904
42	-0.024695	-0.1711	0.432434
43	0.017893	0.124	0.45093
44	-0.056871	-0.394	0.347658
45	-0.025353	-0.1756	0.430654
46	-0.039661	-0.2748	0.392332
47	0.04844	0.3356	0.369317
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = -1.3 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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