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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 15 Dec 2008 13:47:34 -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/15/t1229374142gh3a03w197f67og.htm/, Retrieved Fri, 09 May 2025 23:43:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33816, Retrieved Fri, 09 May 2025 23:43:34 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

261

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMP   [(Partial) Autocorrelation Function] [Taak 10 Stap 2 AC...] [2008-12-03 15:12:42] [6fea0e9a9b3b29a63badf2c274e82506]
-    D    [(Partial) Autocorrelation Function] [Taak 10 Stap 2 AC...] [2008-12-04 18:21:05] [819b576fab25b35cfda70f80599828ec]
F           [(Partial) Autocorrelation Function] [stap 2] [2008-12-08 16:33:12] [74be16979710d4c4e7c6647856088456]
-   P           [(Partial) Autocorrelation Function] [Verbetering ACF s...] [2008-12-15 20:47:34] [21d7d81e7693ad6dde5aadefb1046611] [Current]
- RMP             [Spectral Analysis] [Verbetering SA st...] [2008-12-15 20:50:37] [bc937651ef42bf891200cf0e0edc7238] 

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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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33816&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33816&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33816&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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.312204	-2.1404	0.018773
2	0.0119	0.0816	0.467664
3	-0.034294	-0.2351	0.407573
4	-0.164135	-1.1253	0.133097
5	-0.037966	-0.2603	0.397891
6	0.165573	1.1351	0.131042
7	-0.146665	-1.0055	0.159906
8	0.061582	0.4222	0.337408
9	0.218354	1.497	0.070545
10	-0.187325	-1.2842	0.102677
11	0.062897	0.4312	0.334146
12	-0.207989	-1.4259	0.080253
13	-0.073037	-0.5007	0.309454
14	-0.070005	-0.4799	0.316752
15	0.299293	2.0519	0.022889
16	-0.179449	-1.2302	0.112365
17	0.094501	0.6479	0.260111
18	0.074885	0.5134	0.305042
19	-0.211253	-1.4483	0.077089
20	0.220714	1.5131	0.06847
21	-0.176674	-1.2112	0.115934
22	-0.079764	-0.5468	0.293539
23	0.090947	0.6235	0.267985
24	0.151027	1.0354	0.152893
25	-0.065451	-0.4487	0.327852
26	0.225156	1.5436	0.064697
27	-0.251663	-1.7253	0.04552
28	0.082778	0.5675	0.286538
29	-0.015706	-0.1077	0.457355
30	-0.067683	-0.464	0.322392
31	-0.002626	-0.018	0.492856
32	0.032879	0.2254	0.411319
33	0.065753	0.4508	0.32711
34	-0.056127	-0.3848	0.351065
35	0.108592	0.7445	0.23015
36	-0.150503	-1.0318	0.153724
37	-0.084714	-0.5808	0.282086
38	0.023009	0.1577	0.437668
39	0.035149	0.241	0.405314
40	0.016496	0.1131	0.45522
41	0.08228	0.5641	0.28769
42	-0.070235	-0.4815	0.316196
43	0.034838	0.2388	0.406136
44	0.006939	0.0476	0.48113
45	-0.065404	-0.4484	0.327966
46	0.04533	0.3108	0.378675
47	NA	NA	NA
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 & -0.312204 & -2.1404 & 0.018773 \tabularnewline
2 & 0.0119 & 0.0816 & 0.467664 \tabularnewline
3 & -0.034294 & -0.2351 & 0.407573 \tabularnewline
4 & -0.164135 & -1.1253 & 0.133097 \tabularnewline
5 & -0.037966 & -0.2603 & 0.397891 \tabularnewline
6 & 0.165573 & 1.1351 & 0.131042 \tabularnewline
7 & -0.146665 & -1.0055 & 0.159906 \tabularnewline
8 & 0.061582 & 0.4222 & 0.337408 \tabularnewline
9 & 0.218354 & 1.497 & 0.070545 \tabularnewline
10 & -0.187325 & -1.2842 & 0.102677 \tabularnewline
11 & 0.062897 & 0.4312 & 0.334146 \tabularnewline
12 & -0.207989 & -1.4259 & 0.080253 \tabularnewline
13 & -0.073037 & -0.5007 & 0.309454 \tabularnewline
14 & -0.070005 & -0.4799 & 0.316752 \tabularnewline
15 & 0.299293 & 2.0519 & 0.022889 \tabularnewline
16 & -0.179449 & -1.2302 & 0.112365 \tabularnewline
17 & 0.094501 & 0.6479 & 0.260111 \tabularnewline
18 & 0.074885 & 0.5134 & 0.305042 \tabularnewline
19 & -0.211253 & -1.4483 & 0.077089 \tabularnewline
20 & 0.220714 & 1.5131 & 0.06847 \tabularnewline
21 & -0.176674 & -1.2112 & 0.115934 \tabularnewline
22 & -0.079764 & -0.5468 & 0.293539 \tabularnewline
23 & 0.090947 & 0.6235 & 0.267985 \tabularnewline
24 & 0.151027 & 1.0354 & 0.152893 \tabularnewline
25 & -0.065451 & -0.4487 & 0.327852 \tabularnewline
26 & 0.225156 & 1.5436 & 0.064697 \tabularnewline
27 & -0.251663 & -1.7253 & 0.04552 \tabularnewline
28 & 0.082778 & 0.5675 & 0.286538 \tabularnewline
29 & -0.015706 & -0.1077 & 0.457355 \tabularnewline
30 & -0.067683 & -0.464 & 0.322392 \tabularnewline
31 & -0.002626 & -0.018 & 0.492856 \tabularnewline
32 & 0.032879 & 0.2254 & 0.411319 \tabularnewline
33 & 0.065753 & 0.4508 & 0.32711 \tabularnewline
34 & -0.056127 & -0.3848 & 0.351065 \tabularnewline
35 & 0.108592 & 0.7445 & 0.23015 \tabularnewline
36 & -0.150503 & -1.0318 & 0.153724 \tabularnewline
37 & -0.084714 & -0.5808 & 0.282086 \tabularnewline
38 & 0.023009 & 0.1577 & 0.437668 \tabularnewline
39 & 0.035149 & 0.241 & 0.405314 \tabularnewline
40 & 0.016496 & 0.1131 & 0.45522 \tabularnewline
41 & 0.08228 & 0.5641 & 0.28769 \tabularnewline
42 & -0.070235 & -0.4815 & 0.316196 \tabularnewline
43 & 0.034838 & 0.2388 & 0.406136 \tabularnewline
44 & 0.006939 & 0.0476 & 0.48113 \tabularnewline
45 & -0.065404 & -0.4484 & 0.327966 \tabularnewline
46 & 0.04533 & 0.3108 & 0.378675 \tabularnewline
47 & NA & NA & NA \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=33816&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]-0.312204[/C][C]-2.1404[/C][C]0.018773[/C][/ROW]
[ROW][C]2[/C][C]0.0119[/C][C]0.0816[/C][C]0.467664[/C][/ROW]
[ROW][C]3[/C][C]-0.034294[/C][C]-0.2351[/C][C]0.407573[/C][/ROW]
[ROW][C]4[/C][C]-0.164135[/C][C]-1.1253[/C][C]0.133097[/C][/ROW]
[ROW][C]5[/C][C]-0.037966[/C][C]-0.2603[/C][C]0.397891[/C][/ROW]
[ROW][C]6[/C][C]0.165573[/C][C]1.1351[/C][C]0.131042[/C][/ROW]
[ROW][C]7[/C][C]-0.146665[/C][C]-1.0055[/C][C]0.159906[/C][/ROW]
[ROW][C]8[/C][C]0.061582[/C][C]0.4222[/C][C]0.337408[/C][/ROW]
[ROW][C]9[/C][C]0.218354[/C][C]1.497[/C][C]0.070545[/C][/ROW]
[ROW][C]10[/C][C]-0.187325[/C][C]-1.2842[/C][C]0.102677[/C][/ROW]
[ROW][C]11[/C][C]0.062897[/C][C]0.4312[/C][C]0.334146[/C][/ROW]
[ROW][C]12[/C][C]-0.207989[/C][C]-1.4259[/C][C]0.080253[/C][/ROW]
[ROW][C]13[/C][C]-0.073037[/C][C]-0.5007[/C][C]0.309454[/C][/ROW]
[ROW][C]14[/C][C]-0.070005[/C][C]-0.4799[/C][C]0.316752[/C][/ROW]
[ROW][C]15[/C][C]0.299293[/C][C]2.0519[/C][C]0.022889[/C][/ROW]
[ROW][C]16[/C][C]-0.179449[/C][C]-1.2302[/C][C]0.112365[/C][/ROW]
[ROW][C]17[/C][C]0.094501[/C][C]0.6479[/C][C]0.260111[/C][/ROW]
[ROW][C]18[/C][C]0.074885[/C][C]0.5134[/C][C]0.305042[/C][/ROW]
[ROW][C]19[/C][C]-0.211253[/C][C]-1.4483[/C][C]0.077089[/C][/ROW]
[ROW][C]20[/C][C]0.220714[/C][C]1.5131[/C][C]0.06847[/C][/ROW]
[ROW][C]21[/C][C]-0.176674[/C][C]-1.2112[/C][C]0.115934[/C][/ROW]
[ROW][C]22[/C][C]-0.079764[/C][C]-0.5468[/C][C]0.293539[/C][/ROW]
[ROW][C]23[/C][C]0.090947[/C][C]0.6235[/C][C]0.267985[/C][/ROW]
[ROW][C]24[/C][C]0.151027[/C][C]1.0354[/C][C]0.152893[/C][/ROW]
[ROW][C]25[/C][C]-0.065451[/C][C]-0.4487[/C][C]0.327852[/C][/ROW]
[ROW][C]26[/C][C]0.225156[/C][C]1.5436[/C][C]0.064697[/C][/ROW]
[ROW][C]27[/C][C]-0.251663[/C][C]-1.7253[/C][C]0.04552[/C][/ROW]
[ROW][C]28[/C][C]0.082778[/C][C]0.5675[/C][C]0.286538[/C][/ROW]
[ROW][C]29[/C][C]-0.015706[/C][C]-0.1077[/C][C]0.457355[/C][/ROW]
[ROW][C]30[/C][C]-0.067683[/C][C]-0.464[/C][C]0.322392[/C][/ROW]
[ROW][C]31[/C][C]-0.002626[/C][C]-0.018[/C][C]0.492856[/C][/ROW]
[ROW][C]32[/C][C]0.032879[/C][C]0.2254[/C][C]0.411319[/C][/ROW]
[ROW][C]33[/C][C]0.065753[/C][C]0.4508[/C][C]0.32711[/C][/ROW]
[ROW][C]34[/C][C]-0.056127[/C][C]-0.3848[/C][C]0.351065[/C][/ROW]
[ROW][C]35[/C][C]0.108592[/C][C]0.7445[/C][C]0.23015[/C][/ROW]
[ROW][C]36[/C][C]-0.150503[/C][C]-1.0318[/C][C]0.153724[/C][/ROW]
[ROW][C]37[/C][C]-0.084714[/C][C]-0.5808[/C][C]0.282086[/C][/ROW]
[ROW][C]38[/C][C]0.023009[/C][C]0.1577[/C][C]0.437668[/C][/ROW]
[ROW][C]39[/C][C]0.035149[/C][C]0.241[/C][C]0.405314[/C][/ROW]
[ROW][C]40[/C][C]0.016496[/C][C]0.1131[/C][C]0.45522[/C][/ROW]
[ROW][C]41[/C][C]0.08228[/C][C]0.5641[/C][C]0.28769[/C][/ROW]
[ROW][C]42[/C][C]-0.070235[/C][C]-0.4815[/C][C]0.316196[/C][/ROW]
[ROW][C]43[/C][C]0.034838[/C][C]0.2388[/C][C]0.406136[/C][/ROW]
[ROW][C]44[/C][C]0.006939[/C][C]0.0476[/C][C]0.48113[/C][/ROW]
[ROW][C]45[/C][C]-0.065404[/C][C]-0.4484[/C][C]0.327966[/C][/ROW]
[ROW][C]46[/C][C]0.04533[/C][C]0.3108[/C][C]0.378675[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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=33816&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33816&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	-0.312204	-2.1404	0.018773
2	0.0119	0.0816	0.467664
3	-0.034294	-0.2351	0.407573
4	-0.164135	-1.1253	0.133097
5	-0.037966	-0.2603	0.397891
6	0.165573	1.1351	0.131042
7	-0.146665	-1.0055	0.159906
8	0.061582	0.4222	0.337408
9	0.218354	1.497	0.070545
10	-0.187325	-1.2842	0.102677
11	0.062897	0.4312	0.334146
12	-0.207989	-1.4259	0.080253
13	-0.073037	-0.5007	0.309454
14	-0.070005	-0.4799	0.316752
15	0.299293	2.0519	0.022889
16	-0.179449	-1.2302	0.112365
17	0.094501	0.6479	0.260111
18	0.074885	0.5134	0.305042
19	-0.211253	-1.4483	0.077089
20	0.220714	1.5131	0.06847
21	-0.176674	-1.2112	0.115934
22	-0.079764	-0.5468	0.293539
23	0.090947	0.6235	0.267985
24	0.151027	1.0354	0.152893
25	-0.065451	-0.4487	0.327852
26	0.225156	1.5436	0.064697
27	-0.251663	-1.7253	0.04552
28	0.082778	0.5675	0.286538
29	-0.015706	-0.1077	0.457355
30	-0.067683	-0.464	0.322392
31	-0.002626	-0.018	0.492856
32	0.032879	0.2254	0.411319
33	0.065753	0.4508	0.32711
34	-0.056127	-0.3848	0.351065
35	0.108592	0.7445	0.23015
36	-0.150503	-1.0318	0.153724
37	-0.084714	-0.5808	0.282086
38	0.023009	0.1577	0.437668
39	0.035149	0.241	0.405314
40	0.016496	0.1131	0.45522
41	0.08228	0.5641	0.28769
42	-0.070235	-0.4815	0.316196
43	0.034838	0.2388	0.406136
44	0.006939	0.0476	0.48113
45	-0.065404	-0.4484	0.327966
46	0.04533	0.3108	0.378675
47	NA	NA	NA
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	-0.312204	-2.1404	0.018773
2	-0.094813	-0.65	0.259426
3	-0.06689	-0.4586	0.324326
4	-0.219626	-1.5057	0.069421
5	-0.199778	-1.3696	0.088658
6	0.070152	0.4809	0.316395
7	-0.122674	-0.841	0.2023
8	-0.085014	-0.5828	0.281399
9	0.229614	1.5742	0.06108
10	-0.01397	-0.0958	0.462054
11	-0.009452	-0.0648	0.474303
12	-0.230776	-1.5821	0.060165
13	-0.16079	-1.1023	0.137968
14	-0.28496	-1.9536	0.028358
15	0.084505	0.5793	0.282565
16	-0.131608	-0.9023	0.18576
17	-0.154609	-1.0599	0.147293
18	0.053382	0.366	0.358016
19	-0.167531	-1.1485	0.12828
20	0.14737	1.0103	0.158758
21	-0.130585	-0.8952	0.187608
22	-0.122624	-0.8407	0.202395
23	-0.093833	-0.6433	0.261583
24	-0.037777	-0.259	0.398387
25	0.012013	0.0824	0.467356
26	0.0203	0.1392	0.444955
27	-0.051852	-0.3555	0.361909
28	0.091511	0.6274	0.266726
29	-0.011081	-0.076	0.469883
30	-0.035828	-0.2456	0.403522
31	-0.053891	-0.3695	0.356723
32	-0.01404	-0.0963	0.461865
33	-0.007285	-0.0499	0.480189
34	-0.076727	-0.526	0.300675
35	-0.067821	-0.465	0.322055
36	0.059316	0.4067	0.343055
37	-0.127996	-0.8775	0.192341
38	-0.051532	-0.3533	0.362726
39	0.026481	0.1815	0.428361
40	0.01944	0.1333	0.447274
41	-0.03069	-0.2104	0.417133
42	0.003362	0.023	0.490854
43	-0.018089	-0.124	0.450918
44	-0.085365	-0.5852	0.280595
45	0.064072	0.4393	0.331244
46	-0.010075	-0.0691	0.472614
47	NA	NA	NA
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 & -0.312204 & -2.1404 & 0.018773 \tabularnewline
2 & -0.094813 & -0.65 & 0.259426 \tabularnewline
3 & -0.06689 & -0.4586 & 0.324326 \tabularnewline
4 & -0.219626 & -1.5057 & 0.069421 \tabularnewline
5 & -0.199778 & -1.3696 & 0.088658 \tabularnewline
6 & 0.070152 & 0.4809 & 0.316395 \tabularnewline
7 & -0.122674 & -0.841 & 0.2023 \tabularnewline
8 & -0.085014 & -0.5828 & 0.281399 \tabularnewline
9 & 0.229614 & 1.5742 & 0.06108 \tabularnewline
10 & -0.01397 & -0.0958 & 0.462054 \tabularnewline
11 & -0.009452 & -0.0648 & 0.474303 \tabularnewline
12 & -0.230776 & -1.5821 & 0.060165 \tabularnewline
13 & -0.16079 & -1.1023 & 0.137968 \tabularnewline
14 & -0.28496 & -1.9536 & 0.028358 \tabularnewline
15 & 0.084505 & 0.5793 & 0.282565 \tabularnewline
16 & -0.131608 & -0.9023 & 0.18576 \tabularnewline
17 & -0.154609 & -1.0599 & 0.147293 \tabularnewline
18 & 0.053382 & 0.366 & 0.358016 \tabularnewline
19 & -0.167531 & -1.1485 & 0.12828 \tabularnewline
20 & 0.14737 & 1.0103 & 0.158758 \tabularnewline
21 & -0.130585 & -0.8952 & 0.187608 \tabularnewline
22 & -0.122624 & -0.8407 & 0.202395 \tabularnewline
23 & -0.093833 & -0.6433 & 0.261583 \tabularnewline
24 & -0.037777 & -0.259 & 0.398387 \tabularnewline
25 & 0.012013 & 0.0824 & 0.467356 \tabularnewline
26 & 0.0203 & 0.1392 & 0.444955 \tabularnewline
27 & -0.051852 & -0.3555 & 0.361909 \tabularnewline
28 & 0.091511 & 0.6274 & 0.266726 \tabularnewline
29 & -0.011081 & -0.076 & 0.469883 \tabularnewline
30 & -0.035828 & -0.2456 & 0.403522 \tabularnewline
31 & -0.053891 & -0.3695 & 0.356723 \tabularnewline
32 & -0.01404 & -0.0963 & 0.461865 \tabularnewline
33 & -0.007285 & -0.0499 & 0.480189 \tabularnewline
34 & -0.076727 & -0.526 & 0.300675 \tabularnewline
35 & -0.067821 & -0.465 & 0.322055 \tabularnewline
36 & 0.059316 & 0.4067 & 0.343055 \tabularnewline
37 & -0.127996 & -0.8775 & 0.192341 \tabularnewline
38 & -0.051532 & -0.3533 & 0.362726 \tabularnewline
39 & 0.026481 & 0.1815 & 0.428361 \tabularnewline
40 & 0.01944 & 0.1333 & 0.447274 \tabularnewline
41 & -0.03069 & -0.2104 & 0.417133 \tabularnewline
42 & 0.003362 & 0.023 & 0.490854 \tabularnewline
43 & -0.018089 & -0.124 & 0.450918 \tabularnewline
44 & -0.085365 & -0.5852 & 0.280595 \tabularnewline
45 & 0.064072 & 0.4393 & 0.331244 \tabularnewline
46 & -0.010075 & -0.0691 & 0.472614 \tabularnewline
47 & NA & NA & NA \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=33816&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]-0.312204[/C][C]-2.1404[/C][C]0.018773[/C][/ROW]
[ROW][C]2[/C][C]-0.094813[/C][C]-0.65[/C][C]0.259426[/C][/ROW]
[ROW][C]3[/C][C]-0.06689[/C][C]-0.4586[/C][C]0.324326[/C][/ROW]
[ROW][C]4[/C][C]-0.219626[/C][C]-1.5057[/C][C]0.069421[/C][/ROW]
[ROW][C]5[/C][C]-0.199778[/C][C]-1.3696[/C][C]0.088658[/C][/ROW]
[ROW][C]6[/C][C]0.070152[/C][C]0.4809[/C][C]0.316395[/C][/ROW]
[ROW][C]7[/C][C]-0.122674[/C][C]-0.841[/C][C]0.2023[/C][/ROW]
[ROW][C]8[/C][C]-0.085014[/C][C]-0.5828[/C][C]0.281399[/C][/ROW]
[ROW][C]9[/C][C]0.229614[/C][C]1.5742[/C][C]0.06108[/C][/ROW]
[ROW][C]10[/C][C]-0.01397[/C][C]-0.0958[/C][C]0.462054[/C][/ROW]
[ROW][C]11[/C][C]-0.009452[/C][C]-0.0648[/C][C]0.474303[/C][/ROW]
[ROW][C]12[/C][C]-0.230776[/C][C]-1.5821[/C][C]0.060165[/C][/ROW]
[ROW][C]13[/C][C]-0.16079[/C][C]-1.1023[/C][C]0.137968[/C][/ROW]
[ROW][C]14[/C][C]-0.28496[/C][C]-1.9536[/C][C]0.028358[/C][/ROW]
[ROW][C]15[/C][C]0.084505[/C][C]0.5793[/C][C]0.282565[/C][/ROW]
[ROW][C]16[/C][C]-0.131608[/C][C]-0.9023[/C][C]0.18576[/C][/ROW]
[ROW][C]17[/C][C]-0.154609[/C][C]-1.0599[/C][C]0.147293[/C][/ROW]
[ROW][C]18[/C][C]0.053382[/C][C]0.366[/C][C]0.358016[/C][/ROW]
[ROW][C]19[/C][C]-0.167531[/C][C]-1.1485[/C][C]0.12828[/C][/ROW]
[ROW][C]20[/C][C]0.14737[/C][C]1.0103[/C][C]0.158758[/C][/ROW]
[ROW][C]21[/C][C]-0.130585[/C][C]-0.8952[/C][C]0.187608[/C][/ROW]
[ROW][C]22[/C][C]-0.122624[/C][C]-0.8407[/C][C]0.202395[/C][/ROW]
[ROW][C]23[/C][C]-0.093833[/C][C]-0.6433[/C][C]0.261583[/C][/ROW]
[ROW][C]24[/C][C]-0.037777[/C][C]-0.259[/C][C]0.398387[/C][/ROW]
[ROW][C]25[/C][C]0.012013[/C][C]0.0824[/C][C]0.467356[/C][/ROW]
[ROW][C]26[/C][C]0.0203[/C][C]0.1392[/C][C]0.444955[/C][/ROW]
[ROW][C]27[/C][C]-0.051852[/C][C]-0.3555[/C][C]0.361909[/C][/ROW]
[ROW][C]28[/C][C]0.091511[/C][C]0.6274[/C][C]0.266726[/C][/ROW]
[ROW][C]29[/C][C]-0.011081[/C][C]-0.076[/C][C]0.469883[/C][/ROW]
[ROW][C]30[/C][C]-0.035828[/C][C]-0.2456[/C][C]0.403522[/C][/ROW]
[ROW][C]31[/C][C]-0.053891[/C][C]-0.3695[/C][C]0.356723[/C][/ROW]
[ROW][C]32[/C][C]-0.01404[/C][C]-0.0963[/C][C]0.461865[/C][/ROW]
[ROW][C]33[/C][C]-0.007285[/C][C]-0.0499[/C][C]0.480189[/C][/ROW]
[ROW][C]34[/C][C]-0.076727[/C][C]-0.526[/C][C]0.300675[/C][/ROW]
[ROW][C]35[/C][C]-0.067821[/C][C]-0.465[/C][C]0.322055[/C][/ROW]
[ROW][C]36[/C][C]0.059316[/C][C]0.4067[/C][C]0.343055[/C][/ROW]
[ROW][C]37[/C][C]-0.127996[/C][C]-0.8775[/C][C]0.192341[/C][/ROW]
[ROW][C]38[/C][C]-0.051532[/C][C]-0.3533[/C][C]0.362726[/C][/ROW]
[ROW][C]39[/C][C]0.026481[/C][C]0.1815[/C][C]0.428361[/C][/ROW]
[ROW][C]40[/C][C]0.01944[/C][C]0.1333[/C][C]0.447274[/C][/ROW]
[ROW][C]41[/C][C]-0.03069[/C][C]-0.2104[/C][C]0.417133[/C][/ROW]
[ROW][C]42[/C][C]0.003362[/C][C]0.023[/C][C]0.490854[/C][/ROW]
[ROW][C]43[/C][C]-0.018089[/C][C]-0.124[/C][C]0.450918[/C][/ROW]
[ROW][C]44[/C][C]-0.085365[/C][C]-0.5852[/C][C]0.280595[/C][/ROW]
[ROW][C]45[/C][C]0.064072[/C][C]0.4393[/C][C]0.331244[/C][/ROW]
[ROW][C]46[/C][C]-0.010075[/C][C]-0.0691[/C][C]0.472614[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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=33816&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33816&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	-0.312204	-2.1404	0.018773
2	-0.094813	-0.65	0.259426
3	-0.06689	-0.4586	0.324326
4	-0.219626	-1.5057	0.069421
5	-0.199778	-1.3696	0.088658
6	0.070152	0.4809	0.316395
7	-0.122674	-0.841	0.2023
8	-0.085014	-0.5828	0.281399
9	0.229614	1.5742	0.06108
10	-0.01397	-0.0958	0.462054
11	-0.009452	-0.0648	0.474303
12	-0.230776	-1.5821	0.060165
13	-0.16079	-1.1023	0.137968
14	-0.28496	-1.9536	0.028358
15	0.084505	0.5793	0.282565
16	-0.131608	-0.9023	0.18576
17	-0.154609	-1.0599	0.147293
18	0.053382	0.366	0.358016
19	-0.167531	-1.1485	0.12828
20	0.14737	1.0103	0.158758
21	-0.130585	-0.8952	0.187608
22	-0.122624	-0.8407	0.202395
23	-0.093833	-0.6433	0.261583
24	-0.037777	-0.259	0.398387
25	0.012013	0.0824	0.467356
26	0.0203	0.1392	0.444955
27	-0.051852	-0.3555	0.361909
28	0.091511	0.6274	0.266726
29	-0.011081	-0.076	0.469883
30	-0.035828	-0.2456	0.403522
31	-0.053891	-0.3695	0.356723
32	-0.01404	-0.0963	0.461865
33	-0.007285	-0.0499	0.480189
34	-0.076727	-0.526	0.300675
35	-0.067821	-0.465	0.322055
36	0.059316	0.4067	0.343055
37	-0.127996	-0.8775	0.192341
38	-0.051532	-0.3533	0.362726
39	0.026481	0.1815	0.428361
40	0.01944	0.1333	0.447274
41	-0.03069	-0.2104	0.417133
42	0.003362	0.023	0.490854
43	-0.018089	-0.124	0.450918
44	-0.085365	-0.5852	0.280595
45	0.064072	0.4393	0.331244
46	-0.010075	-0.0691	0.472614
47	NA	NA	NA
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 = 60 ; par2 = 1.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;

Parameters (R input):

par1 = 60 ; par2 = 1.0 ; 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