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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 14 Dec 2008 06:27:46 -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/14/t1229261350ybhz2cjxt7pqima.htm/, Retrieved Wed, 15 May 2024 05:53:02 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33360, Retrieved Wed, 15 May 2024 05:53:02 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

179

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 15:18:17] [6fea0e9a9b3b29a63badf2c274e82506]
-         [(Partial) Autocorrelation Function] [Opdracht 8 - Stap...] [2008-12-08 13:04:27] [a7f04e0e73ce3683561193958d653479]
F   P       [(Partial) Autocorrelation Function] [Opdracht 8 - Stap...] [2008-12-08 13:21:56] [a7f04e0e73ce3683561193958d653479]
-    D          [(Partial) Autocorrelation Function] [ACF - Sparen door...] [2008-12-14 13:27:46] [ee6d9573aeb8a2216fa3549ce57cd52f] [Current]
-   P             [(Partial) Autocorrelation Function] [] [2008-12-16 16:17:55] [cb714085b233acee8e8acd879ea442b6] 

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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=33360&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=33360&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33360&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	-0.156431	-1.0724	0.1445
2	0.09724	0.6666	0.254129
3	0.091326	0.6261	0.267139
4	-0.046954	-0.3219	0.374479
5	0.081791	0.5607	0.288822
6	-0.114549	-0.7853	0.218107
7	-0.0255	-0.1748	0.430987
8	-0.065657	-0.4501	0.327346
9	0.040769	0.2795	0.390545
10	0.160005	1.0969	0.139128
11	-0.113963	-0.7813	0.219275
12	-0.315786	-2.1649	0.017752
13	0.107347	0.7359	0.232713
14	-0.149316	-1.0237	0.155618
15	-0.08229	-0.5642	0.287666
16	-0.091944	-0.6303	0.265763
17	-0.075193	-0.5155	0.304312
18	0.068024	0.4663	0.32156
19	-0.032466	-0.2226	0.412414
20	0.063207	0.4333	0.333379
21	-0.123777	-0.8486	0.20021
22	-0.183593	-1.2587	0.107186
23	0.124907	0.8563	0.198083
24	-0.09152	-0.6274	0.266707
25	-0.009105	-0.0624	0.475245
26	0.042684	0.2926	0.385547
27	0.023827	0.1634	0.435472
28	0.142972	0.9802	0.166012
29	0.057809	0.3963	0.346831
30	0.048226	0.3306	0.371199
31	0.009893	0.0678	0.473106
32	0.079273	0.5435	0.294687
33	0.042357	0.2904	0.386399
34	0.08315	0.57	0.28568
35	-0.063242	-0.4336	0.333294
36	0.098013	0.6719	0.252454
37	-0.045668	-0.3131	0.377801
38	0.011778	0.0807	0.467993
39	-0.095907	-0.6575	0.257031
40	-0.030206	-0.2071	0.418419
41	0.009027	0.0619	0.475457
42	-0.096304	-0.6602	0.256166
43	0.12824	0.8792	0.191891
44	-0.168587	-1.1558	0.126807
45	0.104753	0.7182	0.238109
46	-0.038663	-0.2651	0.396061
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 & -0.156431 & -1.0724 & 0.1445 \tabularnewline
2 & 0.09724 & 0.6666 & 0.254129 \tabularnewline
3 & 0.091326 & 0.6261 & 0.267139 \tabularnewline
4 & -0.046954 & -0.3219 & 0.374479 \tabularnewline
5 & 0.081791 & 0.5607 & 0.288822 \tabularnewline
6 & -0.114549 & -0.7853 & 0.218107 \tabularnewline
7 & -0.0255 & -0.1748 & 0.430987 \tabularnewline
8 & -0.065657 & -0.4501 & 0.327346 \tabularnewline
9 & 0.040769 & 0.2795 & 0.390545 \tabularnewline
10 & 0.160005 & 1.0969 & 0.139128 \tabularnewline
11 & -0.113963 & -0.7813 & 0.219275 \tabularnewline
12 & -0.315786 & -2.1649 & 0.017752 \tabularnewline
13 & 0.107347 & 0.7359 & 0.232713 \tabularnewline
14 & -0.149316 & -1.0237 & 0.155618 \tabularnewline
15 & -0.08229 & -0.5642 & 0.287666 \tabularnewline
16 & -0.091944 & -0.6303 & 0.265763 \tabularnewline
17 & -0.075193 & -0.5155 & 0.304312 \tabularnewline
18 & 0.068024 & 0.4663 & 0.32156 \tabularnewline
19 & -0.032466 & -0.2226 & 0.412414 \tabularnewline
20 & 0.063207 & 0.4333 & 0.333379 \tabularnewline
21 & -0.123777 & -0.8486 & 0.20021 \tabularnewline
22 & -0.183593 & -1.2587 & 0.107186 \tabularnewline
23 & 0.124907 & 0.8563 & 0.198083 \tabularnewline
24 & -0.09152 & -0.6274 & 0.266707 \tabularnewline
25 & -0.009105 & -0.0624 & 0.475245 \tabularnewline
26 & 0.042684 & 0.2926 & 0.385547 \tabularnewline
27 & 0.023827 & 0.1634 & 0.435472 \tabularnewline
28 & 0.142972 & 0.9802 & 0.166012 \tabularnewline
29 & 0.057809 & 0.3963 & 0.346831 \tabularnewline
30 & 0.048226 & 0.3306 & 0.371199 \tabularnewline
31 & 0.009893 & 0.0678 & 0.473106 \tabularnewline
32 & 0.079273 & 0.5435 & 0.294687 \tabularnewline
33 & 0.042357 & 0.2904 & 0.386399 \tabularnewline
34 & 0.08315 & 0.57 & 0.28568 \tabularnewline
35 & -0.063242 & -0.4336 & 0.333294 \tabularnewline
36 & 0.098013 & 0.6719 & 0.252454 \tabularnewline
37 & -0.045668 & -0.3131 & 0.377801 \tabularnewline
38 & 0.011778 & 0.0807 & 0.467993 \tabularnewline
39 & -0.095907 & -0.6575 & 0.257031 \tabularnewline
40 & -0.030206 & -0.2071 & 0.418419 \tabularnewline
41 & 0.009027 & 0.0619 & 0.475457 \tabularnewline
42 & -0.096304 & -0.6602 & 0.256166 \tabularnewline
43 & 0.12824 & 0.8792 & 0.191891 \tabularnewline
44 & -0.168587 & -1.1558 & 0.126807 \tabularnewline
45 & 0.104753 & 0.7182 & 0.238109 \tabularnewline
46 & -0.038663 & -0.2651 & 0.396061 \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=33360&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]-0.156431[/C][C]-1.0724[/C][C]0.1445[/C][/ROW]
[ROW][C]2[/C][C]0.09724[/C][C]0.6666[/C][C]0.254129[/C][/ROW]
[ROW][C]3[/C][C]0.091326[/C][C]0.6261[/C][C]0.267139[/C][/ROW]
[ROW][C]4[/C][C]-0.046954[/C][C]-0.3219[/C][C]0.374479[/C][/ROW]
[ROW][C]5[/C][C]0.081791[/C][C]0.5607[/C][C]0.288822[/C][/ROW]
[ROW][C]6[/C][C]-0.114549[/C][C]-0.7853[/C][C]0.218107[/C][/ROW]
[ROW][C]7[/C][C]-0.0255[/C][C]-0.1748[/C][C]0.430987[/C][/ROW]
[ROW][C]8[/C][C]-0.065657[/C][C]-0.4501[/C][C]0.327346[/C][/ROW]
[ROW][C]9[/C][C]0.040769[/C][C]0.2795[/C][C]0.390545[/C][/ROW]
[ROW][C]10[/C][C]0.160005[/C][C]1.0969[/C][C]0.139128[/C][/ROW]
[ROW][C]11[/C][C]-0.113963[/C][C]-0.7813[/C][C]0.219275[/C][/ROW]
[ROW][C]12[/C][C]-0.315786[/C][C]-2.1649[/C][C]0.017752[/C][/ROW]
[ROW][C]13[/C][C]0.107347[/C][C]0.7359[/C][C]0.232713[/C][/ROW]
[ROW][C]14[/C][C]-0.149316[/C][C]-1.0237[/C][C]0.155618[/C][/ROW]
[ROW][C]15[/C][C]-0.08229[/C][C]-0.5642[/C][C]0.287666[/C][/ROW]
[ROW][C]16[/C][C]-0.091944[/C][C]-0.6303[/C][C]0.265763[/C][/ROW]
[ROW][C]17[/C][C]-0.075193[/C][C]-0.5155[/C][C]0.304312[/C][/ROW]
[ROW][C]18[/C][C]0.068024[/C][C]0.4663[/C][C]0.32156[/C][/ROW]
[ROW][C]19[/C][C]-0.032466[/C][C]-0.2226[/C][C]0.412414[/C][/ROW]
[ROW][C]20[/C][C]0.063207[/C][C]0.4333[/C][C]0.333379[/C][/ROW]
[ROW][C]21[/C][C]-0.123777[/C][C]-0.8486[/C][C]0.20021[/C][/ROW]
[ROW][C]22[/C][C]-0.183593[/C][C]-1.2587[/C][C]0.107186[/C][/ROW]
[ROW][C]23[/C][C]0.124907[/C][C]0.8563[/C][C]0.198083[/C][/ROW]
[ROW][C]24[/C][C]-0.09152[/C][C]-0.6274[/C][C]0.266707[/C][/ROW]
[ROW][C]25[/C][C]-0.009105[/C][C]-0.0624[/C][C]0.475245[/C][/ROW]
[ROW][C]26[/C][C]0.042684[/C][C]0.2926[/C][C]0.385547[/C][/ROW]
[ROW][C]27[/C][C]0.023827[/C][C]0.1634[/C][C]0.435472[/C][/ROW]
[ROW][C]28[/C][C]0.142972[/C][C]0.9802[/C][C]0.166012[/C][/ROW]
[ROW][C]29[/C][C]0.057809[/C][C]0.3963[/C][C]0.346831[/C][/ROW]
[ROW][C]30[/C][C]0.048226[/C][C]0.3306[/C][C]0.371199[/C][/ROW]
[ROW][C]31[/C][C]0.009893[/C][C]0.0678[/C][C]0.473106[/C][/ROW]
[ROW][C]32[/C][C]0.079273[/C][C]0.5435[/C][C]0.294687[/C][/ROW]
[ROW][C]33[/C][C]0.042357[/C][C]0.2904[/C][C]0.386399[/C][/ROW]
[ROW][C]34[/C][C]0.08315[/C][C]0.57[/C][C]0.28568[/C][/ROW]
[ROW][C]35[/C][C]-0.063242[/C][C]-0.4336[/C][C]0.333294[/C][/ROW]
[ROW][C]36[/C][C]0.098013[/C][C]0.6719[/C][C]0.252454[/C][/ROW]
[ROW][C]37[/C][C]-0.045668[/C][C]-0.3131[/C][C]0.377801[/C][/ROW]
[ROW][C]38[/C][C]0.011778[/C][C]0.0807[/C][C]0.467993[/C][/ROW]
[ROW][C]39[/C][C]-0.095907[/C][C]-0.6575[/C][C]0.257031[/C][/ROW]
[ROW][C]40[/C][C]-0.030206[/C][C]-0.2071[/C][C]0.418419[/C][/ROW]
[ROW][C]41[/C][C]0.009027[/C][C]0.0619[/C][C]0.475457[/C][/ROW]
[ROW][C]42[/C][C]-0.096304[/C][C]-0.6602[/C][C]0.256166[/C][/ROW]
[ROW][C]43[/C][C]0.12824[/C][C]0.8792[/C][C]0.191891[/C][/ROW]
[ROW][C]44[/C][C]-0.168587[/C][C]-1.1558[/C][C]0.126807[/C][/ROW]
[ROW][C]45[/C][C]0.104753[/C][C]0.7182[/C][C]0.238109[/C][/ROW]
[ROW][C]46[/C][C]-0.038663[/C][C]-0.2651[/C][C]0.396061[/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=33360&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33360&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	-0.156431	-1.0724	0.1445
2	0.09724	0.6666	0.254129
3	0.091326	0.6261	0.267139
4	-0.046954	-0.3219	0.374479
5	0.081791	0.5607	0.288822
6	-0.114549	-0.7853	0.218107
7	-0.0255	-0.1748	0.430987
8	-0.065657	-0.4501	0.327346
9	0.040769	0.2795	0.390545
10	0.160005	1.0969	0.139128
11	-0.113963	-0.7813	0.219275
12	-0.315786	-2.1649	0.017752
13	0.107347	0.7359	0.232713
14	-0.149316	-1.0237	0.155618
15	-0.08229	-0.5642	0.287666
16	-0.091944	-0.6303	0.265763
17	-0.075193	-0.5155	0.304312
18	0.068024	0.4663	0.32156
19	-0.032466	-0.2226	0.412414
20	0.063207	0.4333	0.333379
21	-0.123777	-0.8486	0.20021
22	-0.183593	-1.2587	0.107186
23	0.124907	0.8563	0.198083
24	-0.09152	-0.6274	0.266707
25	-0.009105	-0.0624	0.475245
26	0.042684	0.2926	0.385547
27	0.023827	0.1634	0.435472
28	0.142972	0.9802	0.166012
29	0.057809	0.3963	0.346831
30	0.048226	0.3306	0.371199
31	0.009893	0.0678	0.473106
32	0.079273	0.5435	0.294687
33	0.042357	0.2904	0.386399
34	0.08315	0.57	0.28568
35	-0.063242	-0.4336	0.333294
36	0.098013	0.6719	0.252454
37	-0.045668	-0.3131	0.377801
38	0.011778	0.0807	0.467993
39	-0.095907	-0.6575	0.257031
40	-0.030206	-0.2071	0.418419
41	0.009027	0.0619	0.475457
42	-0.096304	-0.6602	0.256166
43	0.12824	0.8792	0.191891
44	-0.168587	-1.1558	0.126807
45	0.104753	0.7182	0.238109
46	-0.038663	-0.2651	0.396061
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	-0.156431	-1.0724	0.1445
2	0.074595	0.5114	0.305733
3	0.12068	0.8273	0.206113
4	-0.024044	-0.1648	0.43489
5	0.053339	0.3657	0.358125
6	-0.103396	-0.7089	0.240959
7	-0.066307	-0.4546	0.325754
8	-0.077473	-0.5311	0.298915
9	0.058519	0.4012	0.34505
10	0.202911	1.3911	0.085374
11	-0.046743	-0.3205	0.375023
12	-0.445392	-3.0535	0.001859
13	-0.05329	-0.3653	0.358248
14	-0.031318	-0.2147	0.415464
15	-0.047945	-0.3287	0.371923
16	-0.083038	-0.5693	0.285939
17	-0.022126	-0.1517	0.440042
18	0.006431	0.0441	0.482511
19	-0.090137	-0.6179	0.269796
20	-0.067457	-0.4625	0.322941
21	-0.049672	-0.3405	0.367486
22	-0.186569	-1.2791	0.103578
23	-0.064706	-0.4436	0.329683
24	-0.131271	-0.8999	0.186368
25	0.024665	0.1691	0.433223
26	-0.005123	-0.0351	0.486066
27	-0.070935	-0.4863	0.314506
28	-0.043931	-0.3012	0.382304
29	0.020854	0.143	0.443464
30	-0.009448	-0.0648	0.474315
31	-0.015051	-0.1032	0.459127
32	0.127699	0.8755	0.192889
33	-0.055347	-0.3794	0.353034
34	-0.03278	-0.2247	0.411581
35	-0.071102	-0.4875	0.314102
36	-0.013428	-0.0921	0.463523
37	-0.092398	-0.6334	0.264756
38	-0.086755	-0.5948	0.277428
39	-0.182638	-1.2521	0.108364
40	0.024873	0.1705	0.432667
41	0.041279	0.283	0.389212
42	-0.091696	-0.6286	0.266315
43	0.085605	0.5869	0.280046
44	-0.110033	-0.7543	0.227202
45	0.008523	0.0584	0.476827
46	-0.037008	-0.2537	0.400412
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 & -0.156431 & -1.0724 & 0.1445 \tabularnewline
2 & 0.074595 & 0.5114 & 0.305733 \tabularnewline
3 & 0.12068 & 0.8273 & 0.206113 \tabularnewline
4 & -0.024044 & -0.1648 & 0.43489 \tabularnewline
5 & 0.053339 & 0.3657 & 0.358125 \tabularnewline
6 & -0.103396 & -0.7089 & 0.240959 \tabularnewline
7 & -0.066307 & -0.4546 & 0.325754 \tabularnewline
8 & -0.077473 & -0.5311 & 0.298915 \tabularnewline
9 & 0.058519 & 0.4012 & 0.34505 \tabularnewline
10 & 0.202911 & 1.3911 & 0.085374 \tabularnewline
11 & -0.046743 & -0.3205 & 0.375023 \tabularnewline
12 & -0.445392 & -3.0535 & 0.001859 \tabularnewline
13 & -0.05329 & -0.3653 & 0.358248 \tabularnewline
14 & -0.031318 & -0.2147 & 0.415464 \tabularnewline
15 & -0.047945 & -0.3287 & 0.371923 \tabularnewline
16 & -0.083038 & -0.5693 & 0.285939 \tabularnewline
17 & -0.022126 & -0.1517 & 0.440042 \tabularnewline
18 & 0.006431 & 0.0441 & 0.482511 \tabularnewline
19 & -0.090137 & -0.6179 & 0.269796 \tabularnewline
20 & -0.067457 & -0.4625 & 0.322941 \tabularnewline
21 & -0.049672 & -0.3405 & 0.367486 \tabularnewline
22 & -0.186569 & -1.2791 & 0.103578 \tabularnewline
23 & -0.064706 & -0.4436 & 0.329683 \tabularnewline
24 & -0.131271 & -0.8999 & 0.186368 \tabularnewline
25 & 0.024665 & 0.1691 & 0.433223 \tabularnewline
26 & -0.005123 & -0.0351 & 0.486066 \tabularnewline
27 & -0.070935 & -0.4863 & 0.314506 \tabularnewline
28 & -0.043931 & -0.3012 & 0.382304 \tabularnewline
29 & 0.020854 & 0.143 & 0.443464 \tabularnewline
30 & -0.009448 & -0.0648 & 0.474315 \tabularnewline
31 & -0.015051 & -0.1032 & 0.459127 \tabularnewline
32 & 0.127699 & 0.8755 & 0.192889 \tabularnewline
33 & -0.055347 & -0.3794 & 0.353034 \tabularnewline
34 & -0.03278 & -0.2247 & 0.411581 \tabularnewline
35 & -0.071102 & -0.4875 & 0.314102 \tabularnewline
36 & -0.013428 & -0.0921 & 0.463523 \tabularnewline
37 & -0.092398 & -0.6334 & 0.264756 \tabularnewline
38 & -0.086755 & -0.5948 & 0.277428 \tabularnewline
39 & -0.182638 & -1.2521 & 0.108364 \tabularnewline
40 & 0.024873 & 0.1705 & 0.432667 \tabularnewline
41 & 0.041279 & 0.283 & 0.389212 \tabularnewline
42 & -0.091696 & -0.6286 & 0.266315 \tabularnewline
43 & 0.085605 & 0.5869 & 0.280046 \tabularnewline
44 & -0.110033 & -0.7543 & 0.227202 \tabularnewline
45 & 0.008523 & 0.0584 & 0.476827 \tabularnewline
46 & -0.037008 & -0.2537 & 0.400412 \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=33360&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]-0.156431[/C][C]-1.0724[/C][C]0.1445[/C][/ROW]
[ROW][C]2[/C][C]0.074595[/C][C]0.5114[/C][C]0.305733[/C][/ROW]
[ROW][C]3[/C][C]0.12068[/C][C]0.8273[/C][C]0.206113[/C][/ROW]
[ROW][C]4[/C][C]-0.024044[/C][C]-0.1648[/C][C]0.43489[/C][/ROW]
[ROW][C]5[/C][C]0.053339[/C][C]0.3657[/C][C]0.358125[/C][/ROW]
[ROW][C]6[/C][C]-0.103396[/C][C]-0.7089[/C][C]0.240959[/C][/ROW]
[ROW][C]7[/C][C]-0.066307[/C][C]-0.4546[/C][C]0.325754[/C][/ROW]
[ROW][C]8[/C][C]-0.077473[/C][C]-0.5311[/C][C]0.298915[/C][/ROW]
[ROW][C]9[/C][C]0.058519[/C][C]0.4012[/C][C]0.34505[/C][/ROW]
[ROW][C]10[/C][C]0.202911[/C][C]1.3911[/C][C]0.085374[/C][/ROW]
[ROW][C]11[/C][C]-0.046743[/C][C]-0.3205[/C][C]0.375023[/C][/ROW]
[ROW][C]12[/C][C]-0.445392[/C][C]-3.0535[/C][C]0.001859[/C][/ROW]
[ROW][C]13[/C][C]-0.05329[/C][C]-0.3653[/C][C]0.358248[/C][/ROW]
[ROW][C]14[/C][C]-0.031318[/C][C]-0.2147[/C][C]0.415464[/C][/ROW]
[ROW][C]15[/C][C]-0.047945[/C][C]-0.3287[/C][C]0.371923[/C][/ROW]
[ROW][C]16[/C][C]-0.083038[/C][C]-0.5693[/C][C]0.285939[/C][/ROW]
[ROW][C]17[/C][C]-0.022126[/C][C]-0.1517[/C][C]0.440042[/C][/ROW]
[ROW][C]18[/C][C]0.006431[/C][C]0.0441[/C][C]0.482511[/C][/ROW]
[ROW][C]19[/C][C]-0.090137[/C][C]-0.6179[/C][C]0.269796[/C][/ROW]
[ROW][C]20[/C][C]-0.067457[/C][C]-0.4625[/C][C]0.322941[/C][/ROW]
[ROW][C]21[/C][C]-0.049672[/C][C]-0.3405[/C][C]0.367486[/C][/ROW]
[ROW][C]22[/C][C]-0.186569[/C][C]-1.2791[/C][C]0.103578[/C][/ROW]
[ROW][C]23[/C][C]-0.064706[/C][C]-0.4436[/C][C]0.329683[/C][/ROW]
[ROW][C]24[/C][C]-0.131271[/C][C]-0.8999[/C][C]0.186368[/C][/ROW]
[ROW][C]25[/C][C]0.024665[/C][C]0.1691[/C][C]0.433223[/C][/ROW]
[ROW][C]26[/C][C]-0.005123[/C][C]-0.0351[/C][C]0.486066[/C][/ROW]
[ROW][C]27[/C][C]-0.070935[/C][C]-0.4863[/C][C]0.314506[/C][/ROW]
[ROW][C]28[/C][C]-0.043931[/C][C]-0.3012[/C][C]0.382304[/C][/ROW]
[ROW][C]29[/C][C]0.020854[/C][C]0.143[/C][C]0.443464[/C][/ROW]
[ROW][C]30[/C][C]-0.009448[/C][C]-0.0648[/C][C]0.474315[/C][/ROW]
[ROW][C]31[/C][C]-0.015051[/C][C]-0.1032[/C][C]0.459127[/C][/ROW]
[ROW][C]32[/C][C]0.127699[/C][C]0.8755[/C][C]0.192889[/C][/ROW]
[ROW][C]33[/C][C]-0.055347[/C][C]-0.3794[/C][C]0.353034[/C][/ROW]
[ROW][C]34[/C][C]-0.03278[/C][C]-0.2247[/C][C]0.411581[/C][/ROW]
[ROW][C]35[/C][C]-0.071102[/C][C]-0.4875[/C][C]0.314102[/C][/ROW]
[ROW][C]36[/C][C]-0.013428[/C][C]-0.0921[/C][C]0.463523[/C][/ROW]
[ROW][C]37[/C][C]-0.092398[/C][C]-0.6334[/C][C]0.264756[/C][/ROW]
[ROW][C]38[/C][C]-0.086755[/C][C]-0.5948[/C][C]0.277428[/C][/ROW]
[ROW][C]39[/C][C]-0.182638[/C][C]-1.2521[/C][C]0.108364[/C][/ROW]
[ROW][C]40[/C][C]0.024873[/C][C]0.1705[/C][C]0.432667[/C][/ROW]
[ROW][C]41[/C][C]0.041279[/C][C]0.283[/C][C]0.389212[/C][/ROW]
[ROW][C]42[/C][C]-0.091696[/C][C]-0.6286[/C][C]0.266315[/C][/ROW]
[ROW][C]43[/C][C]0.085605[/C][C]0.5869[/C][C]0.280046[/C][/ROW]
[ROW][C]44[/C][C]-0.110033[/C][C]-0.7543[/C][C]0.227202[/C][/ROW]
[ROW][C]45[/C][C]0.008523[/C][C]0.0584[/C][C]0.476827[/C][/ROW]
[ROW][C]46[/C][C]-0.037008[/C][C]-0.2537[/C][C]0.400412[/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=33360&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33360&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	-0.156431	-1.0724	0.1445
2	0.074595	0.5114	0.305733
3	0.12068	0.8273	0.206113
4	-0.024044	-0.1648	0.43489
5	0.053339	0.3657	0.358125
6	-0.103396	-0.7089	0.240959
7	-0.066307	-0.4546	0.325754
8	-0.077473	-0.5311	0.298915
9	0.058519	0.4012	0.34505
10	0.202911	1.3911	0.085374
11	-0.046743	-0.3205	0.375023
12	-0.445392	-3.0535	0.001859
13	-0.05329	-0.3653	0.358248
14	-0.031318	-0.2147	0.415464
15	-0.047945	-0.3287	0.371923
16	-0.083038	-0.5693	0.285939
17	-0.022126	-0.1517	0.440042
18	0.006431	0.0441	0.482511
19	-0.090137	-0.6179	0.269796
20	-0.067457	-0.4625	0.322941
21	-0.049672	-0.3405	0.367486
22	-0.186569	-1.2791	0.103578
23	-0.064706	-0.4436	0.329683
24	-0.131271	-0.8999	0.186368
25	0.024665	0.1691	0.433223
26	-0.005123	-0.0351	0.486066
27	-0.070935	-0.4863	0.314506
28	-0.043931	-0.3012	0.382304
29	0.020854	0.143	0.443464
30	-0.009448	-0.0648	0.474315
31	-0.015051	-0.1032	0.459127
32	0.127699	0.8755	0.192889
33	-0.055347	-0.3794	0.353034
34	-0.03278	-0.2247	0.411581
35	-0.071102	-0.4875	0.314102
36	-0.013428	-0.0921	0.463523
37	-0.092398	-0.6334	0.264756
38	-0.086755	-0.5948	0.277428
39	-0.182638	-1.2521	0.108364
40	0.024873	0.1705	0.432667
41	0.041279	0.283	0.389212
42	-0.091696	-0.6286	0.266315
43	0.085605	0.5869	0.280046
44	-0.110033	-0.7543	0.227202
45	0.008523	0.0584	0.476827
46	-0.037008	-0.2537	0.400412
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 ; par3 = 1 ; par4 = 1 ; par5 = 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