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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 27 Nov 2009 12:33:40 -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/2009/Nov/27/t1259350490atynyyyyidnc1el.htm/, Retrieved Sun, 28 Apr 2024 08:54:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61177, Retrieved Sun, 28 Apr 2024 08:54:41 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

151

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

-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:26:39] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [Shwws8_v1] [2009-11-27 19:33:40] [93b66894f6318f3da4fcda772f2ffa6f] [Current]
-   PD            [(Partial) Autocorrelation Function] [Review WS 8 autoc...] [2009-11-29 15:31:51] [12f02da0296cb21dc23d82ae014a8b71] 
-   PD            [(Partial) Autocorrelation Function] [Paper] [2009-12-16 00:39:56] [5f89c040fdf1f8599c99d7f78a662321] 
-    D              [(Partial) Autocorrelation Function] [Paper] [2009-12-16 00:52:21] [5f89c040fdf1f8599c99d7f78a662321] 

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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=61177&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=61177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61177&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	-0.000256	-0.0014	0.499426
2	0.235227	1.3306	0.096356
3	0.19873	1.1242	0.134649
4	0.015415	0.0872	0.465527
5	0.095926	0.5426	0.29557
6	0.059621	0.3373	0.369059
7	0.071918	0.4068	0.343421
8	0.091499	0.5176	0.304149
9	-0.07396	-0.4184	0.339232
10	-0.139137	-0.7871	0.218513
11	-0.118562	-0.6707	0.253616
12	-0.382139	-2.1617	0.019113
13	0.028454	0.161	0.436567
14	-0.244405	-1.3826	0.088186
15	0.044601	0.2523	0.401212
16	-0.140424	-0.7944	0.21642
17	-0.138794	-0.7851	0.219074
18	-0.023433	-0.1326	0.447686
19	-0.124385	-0.7036	0.243376
20	-0.056379	-0.3189	0.375928
21	-0.033101	-0.1872	0.426324
22	0.048945	0.2769	0.391828
23	0.034314	0.1941	0.423658
24	-0.022012	-0.1245	0.450841
25	-0.015473	-0.0875	0.465399
26	0.122014	0.6902	0.247518
27	-0.087622	-0.4957	0.31176
28	0.045788	0.259	0.39864
29	0.014883	0.0842	0.466715
30	-0.008651	-0.0489	0.480636
31	0.001399	0.0079	0.496868
32	NA	NA	NA
33	NA	NA	NA
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
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 & -0.000256 & -0.0014 & 0.499426 \tabularnewline
2 & 0.235227 & 1.3306 & 0.096356 \tabularnewline
3 & 0.19873 & 1.1242 & 0.134649 \tabularnewline
4 & 0.015415 & 0.0872 & 0.465527 \tabularnewline
5 & 0.095926 & 0.5426 & 0.29557 \tabularnewline
6 & 0.059621 & 0.3373 & 0.369059 \tabularnewline
7 & 0.071918 & 0.4068 & 0.343421 \tabularnewline
8 & 0.091499 & 0.5176 & 0.304149 \tabularnewline
9 & -0.07396 & -0.4184 & 0.339232 \tabularnewline
10 & -0.139137 & -0.7871 & 0.218513 \tabularnewline
11 & -0.118562 & -0.6707 & 0.253616 \tabularnewline
12 & -0.382139 & -2.1617 & 0.019113 \tabularnewline
13 & 0.028454 & 0.161 & 0.436567 \tabularnewline
14 & -0.244405 & -1.3826 & 0.088186 \tabularnewline
15 & 0.044601 & 0.2523 & 0.401212 \tabularnewline
16 & -0.140424 & -0.7944 & 0.21642 \tabularnewline
17 & -0.138794 & -0.7851 & 0.219074 \tabularnewline
18 & -0.023433 & -0.1326 & 0.447686 \tabularnewline
19 & -0.124385 & -0.7036 & 0.243376 \tabularnewline
20 & -0.056379 & -0.3189 & 0.375928 \tabularnewline
21 & -0.033101 & -0.1872 & 0.426324 \tabularnewline
22 & 0.048945 & 0.2769 & 0.391828 \tabularnewline
23 & 0.034314 & 0.1941 & 0.423658 \tabularnewline
24 & -0.022012 & -0.1245 & 0.450841 \tabularnewline
25 & -0.015473 & -0.0875 & 0.465399 \tabularnewline
26 & 0.122014 & 0.6902 & 0.247518 \tabularnewline
27 & -0.087622 & -0.4957 & 0.31176 \tabularnewline
28 & 0.045788 & 0.259 & 0.39864 \tabularnewline
29 & 0.014883 & 0.0842 & 0.466715 \tabularnewline
30 & -0.008651 & -0.0489 & 0.480636 \tabularnewline
31 & 0.001399 & 0.0079 & 0.496868 \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \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=61177&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]-0.000256[/C][C]-0.0014[/C][C]0.499426[/C][/ROW]
[ROW][C]2[/C][C]0.235227[/C][C]1.3306[/C][C]0.096356[/C][/ROW]
[ROW][C]3[/C][C]0.19873[/C][C]1.1242[/C][C]0.134649[/C][/ROW]
[ROW][C]4[/C][C]0.015415[/C][C]0.0872[/C][C]0.465527[/C][/ROW]
[ROW][C]5[/C][C]0.095926[/C][C]0.5426[/C][C]0.29557[/C][/ROW]
[ROW][C]6[/C][C]0.059621[/C][C]0.3373[/C][C]0.369059[/C][/ROW]
[ROW][C]7[/C][C]0.071918[/C][C]0.4068[/C][C]0.343421[/C][/ROW]
[ROW][C]8[/C][C]0.091499[/C][C]0.5176[/C][C]0.304149[/C][/ROW]
[ROW][C]9[/C][C]-0.07396[/C][C]-0.4184[/C][C]0.339232[/C][/ROW]
[ROW][C]10[/C][C]-0.139137[/C][C]-0.7871[/C][C]0.218513[/C][/ROW]
[ROW][C]11[/C][C]-0.118562[/C][C]-0.6707[/C][C]0.253616[/C][/ROW]
[ROW][C]12[/C][C]-0.382139[/C][C]-2.1617[/C][C]0.019113[/C][/ROW]
[ROW][C]13[/C][C]0.028454[/C][C]0.161[/C][C]0.436567[/C][/ROW]
[ROW][C]14[/C][C]-0.244405[/C][C]-1.3826[/C][C]0.088186[/C][/ROW]
[ROW][C]15[/C][C]0.044601[/C][C]0.2523[/C][C]0.401212[/C][/ROW]
[ROW][C]16[/C][C]-0.140424[/C][C]-0.7944[/C][C]0.21642[/C][/ROW]
[ROW][C]17[/C][C]-0.138794[/C][C]-0.7851[/C][C]0.219074[/C][/ROW]
[ROW][C]18[/C][C]-0.023433[/C][C]-0.1326[/C][C]0.447686[/C][/ROW]
[ROW][C]19[/C][C]-0.124385[/C][C]-0.7036[/C][C]0.243376[/C][/ROW]
[ROW][C]20[/C][C]-0.056379[/C][C]-0.3189[/C][C]0.375928[/C][/ROW]
[ROW][C]21[/C][C]-0.033101[/C][C]-0.1872[/C][C]0.426324[/C][/ROW]
[ROW][C]22[/C][C]0.048945[/C][C]0.2769[/C][C]0.391828[/C][/ROW]
[ROW][C]23[/C][C]0.034314[/C][C]0.1941[/C][C]0.423658[/C][/ROW]
[ROW][C]24[/C][C]-0.022012[/C][C]-0.1245[/C][C]0.450841[/C][/ROW]
[ROW][C]25[/C][C]-0.015473[/C][C]-0.0875[/C][C]0.465399[/C][/ROW]
[ROW][C]26[/C][C]0.122014[/C][C]0.6902[/C][C]0.247518[/C][/ROW]
[ROW][C]27[/C][C]-0.087622[/C][C]-0.4957[/C][C]0.31176[/C][/ROW]
[ROW][C]28[/C][C]0.045788[/C][C]0.259[/C][C]0.39864[/C][/ROW]
[ROW][C]29[/C][C]0.014883[/C][C]0.0842[/C][C]0.466715[/C][/ROW]
[ROW][C]30[/C][C]-0.008651[/C][C]-0.0489[/C][C]0.480636[/C][/ROW]
[ROW][C]31[/C][C]0.001399[/C][C]0.0079[/C][C]0.496868[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=61177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61177&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	-0.000256	-0.0014	0.499426
2	0.235227	1.3306	0.096356
3	0.19873	1.1242	0.134649
4	0.015415	0.0872	0.465527
5	0.095926	0.5426	0.29557
6	0.059621	0.3373	0.369059
7	0.071918	0.4068	0.343421
8	0.091499	0.5176	0.304149
9	-0.07396	-0.4184	0.339232
10	-0.139137	-0.7871	0.218513
11	-0.118562	-0.6707	0.253616
12	-0.382139	-2.1617	0.019113
13	0.028454	0.161	0.436567
14	-0.244405	-1.3826	0.088186
15	0.044601	0.2523	0.401212
16	-0.140424	-0.7944	0.21642
17	-0.138794	-0.7851	0.219074
18	-0.023433	-0.1326	0.447686
19	-0.124385	-0.7036	0.243376
20	-0.056379	-0.3189	0.375928
21	-0.033101	-0.1872	0.426324
22	0.048945	0.2769	0.391828
23	0.034314	0.1941	0.423658
24	-0.022012	-0.1245	0.450841
25	-0.015473	-0.0875	0.465399
26	0.122014	0.6902	0.247518
27	-0.087622	-0.4957	0.31176
28	0.045788	0.259	0.39864
29	0.014883	0.0842	0.466715
30	-0.008651	-0.0489	0.480636
31	0.001399	0.0079	0.496868
32	NA	NA	NA
33	NA	NA	NA
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
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	-0.000256	-0.0014	0.499426
2	0.235227	1.3306	0.096356
3	0.210482	1.1907	0.121271
4	-0.033222	-0.1879	0.426058
5	-0.000948	-0.0054	0.497877
6	0.029106	0.1646	0.435129
7	0.061995	0.3507	0.364056
8	0.063216	0.3576	0.361494
9	-0.125883	-0.7121	0.240781
10	-0.234884	-1.3287	0.096672
11	-0.145129	-0.821	0.208867
12	-0.341002	-1.929	0.03132
13	0.099159	0.5609	0.289377
14	-0.056937	-0.3221	0.374742
15	0.196817	1.1134	0.136922
16	-0.075453	-0.4268	0.336181
17	-0.0575	-0.3253	0.373547
18	0.04756	0.269	0.394813
19	0.050531	0.2858	0.388419
20	0.010021	0.0567	0.477574
21	-0.132223	-0.748	0.22997
22	-0.05179	-0.293	0.385719
23	-0.040265	-0.2278	0.410637
24	-0.154382	-0.8733	0.194499
25	0.012315	0.0697	0.472446
26	0.072222	0.4085	0.342797
27	0.046504	0.2631	0.397094
28	-0.132525	-0.7497	0.229464
29	-0.043631	-0.2468	0.403314
30	-0.018853	-0.1066	0.457867
31	-0.021298	-0.1205	0.452429
32	NA	NA	NA
33	NA	NA	NA
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
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 & -0.000256 & -0.0014 & 0.499426 \tabularnewline
2 & 0.235227 & 1.3306 & 0.096356 \tabularnewline
3 & 0.210482 & 1.1907 & 0.121271 \tabularnewline
4 & -0.033222 & -0.1879 & 0.426058 \tabularnewline
5 & -0.000948 & -0.0054 & 0.497877 \tabularnewline
6 & 0.029106 & 0.1646 & 0.435129 \tabularnewline
7 & 0.061995 & 0.3507 & 0.364056 \tabularnewline
8 & 0.063216 & 0.3576 & 0.361494 \tabularnewline
9 & -0.125883 & -0.7121 & 0.240781 \tabularnewline
10 & -0.234884 & -1.3287 & 0.096672 \tabularnewline
11 & -0.145129 & -0.821 & 0.208867 \tabularnewline
12 & -0.341002 & -1.929 & 0.03132 \tabularnewline
13 & 0.099159 & 0.5609 & 0.289377 \tabularnewline
14 & -0.056937 & -0.3221 & 0.374742 \tabularnewline
15 & 0.196817 & 1.1134 & 0.136922 \tabularnewline
16 & -0.075453 & -0.4268 & 0.336181 \tabularnewline
17 & -0.0575 & -0.3253 & 0.373547 \tabularnewline
18 & 0.04756 & 0.269 & 0.394813 \tabularnewline
19 & 0.050531 & 0.2858 & 0.388419 \tabularnewline
20 & 0.010021 & 0.0567 & 0.477574 \tabularnewline
21 & -0.132223 & -0.748 & 0.22997 \tabularnewline
22 & -0.05179 & -0.293 & 0.385719 \tabularnewline
23 & -0.040265 & -0.2278 & 0.410637 \tabularnewline
24 & -0.154382 & -0.8733 & 0.194499 \tabularnewline
25 & 0.012315 & 0.0697 & 0.472446 \tabularnewline
26 & 0.072222 & 0.4085 & 0.342797 \tabularnewline
27 & 0.046504 & 0.2631 & 0.397094 \tabularnewline
28 & -0.132525 & -0.7497 & 0.229464 \tabularnewline
29 & -0.043631 & -0.2468 & 0.403314 \tabularnewline
30 & -0.018853 & -0.1066 & 0.457867 \tabularnewline
31 & -0.021298 & -0.1205 & 0.452429 \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \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=61177&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]-0.000256[/C][C]-0.0014[/C][C]0.499426[/C][/ROW]
[ROW][C]2[/C][C]0.235227[/C][C]1.3306[/C][C]0.096356[/C][/ROW]
[ROW][C]3[/C][C]0.210482[/C][C]1.1907[/C][C]0.121271[/C][/ROW]
[ROW][C]4[/C][C]-0.033222[/C][C]-0.1879[/C][C]0.426058[/C][/ROW]
[ROW][C]5[/C][C]-0.000948[/C][C]-0.0054[/C][C]0.497877[/C][/ROW]
[ROW][C]6[/C][C]0.029106[/C][C]0.1646[/C][C]0.435129[/C][/ROW]
[ROW][C]7[/C][C]0.061995[/C][C]0.3507[/C][C]0.364056[/C][/ROW]
[ROW][C]8[/C][C]0.063216[/C][C]0.3576[/C][C]0.361494[/C][/ROW]
[ROW][C]9[/C][C]-0.125883[/C][C]-0.7121[/C][C]0.240781[/C][/ROW]
[ROW][C]10[/C][C]-0.234884[/C][C]-1.3287[/C][C]0.096672[/C][/ROW]
[ROW][C]11[/C][C]-0.145129[/C][C]-0.821[/C][C]0.208867[/C][/ROW]
[ROW][C]12[/C][C]-0.341002[/C][C]-1.929[/C][C]0.03132[/C][/ROW]
[ROW][C]13[/C][C]0.099159[/C][C]0.5609[/C][C]0.289377[/C][/ROW]
[ROW][C]14[/C][C]-0.056937[/C][C]-0.3221[/C][C]0.374742[/C][/ROW]
[ROW][C]15[/C][C]0.196817[/C][C]1.1134[/C][C]0.136922[/C][/ROW]
[ROW][C]16[/C][C]-0.075453[/C][C]-0.4268[/C][C]0.336181[/C][/ROW]
[ROW][C]17[/C][C]-0.0575[/C][C]-0.3253[/C][C]0.373547[/C][/ROW]
[ROW][C]18[/C][C]0.04756[/C][C]0.269[/C][C]0.394813[/C][/ROW]
[ROW][C]19[/C][C]0.050531[/C][C]0.2858[/C][C]0.388419[/C][/ROW]
[ROW][C]20[/C][C]0.010021[/C][C]0.0567[/C][C]0.477574[/C][/ROW]
[ROW][C]21[/C][C]-0.132223[/C][C]-0.748[/C][C]0.22997[/C][/ROW]
[ROW][C]22[/C][C]-0.05179[/C][C]-0.293[/C][C]0.385719[/C][/ROW]
[ROW][C]23[/C][C]-0.040265[/C][C]-0.2278[/C][C]0.410637[/C][/ROW]
[ROW][C]24[/C][C]-0.154382[/C][C]-0.8733[/C][C]0.194499[/C][/ROW]
[ROW][C]25[/C][C]0.012315[/C][C]0.0697[/C][C]0.472446[/C][/ROW]
[ROW][C]26[/C][C]0.072222[/C][C]0.4085[/C][C]0.342797[/C][/ROW]
[ROW][C]27[/C][C]0.046504[/C][C]0.2631[/C][C]0.397094[/C][/ROW]
[ROW][C]28[/C][C]-0.132525[/C][C]-0.7497[/C][C]0.229464[/C][/ROW]
[ROW][C]29[/C][C]-0.043631[/C][C]-0.2468[/C][C]0.403314[/C][/ROW]
[ROW][C]30[/C][C]-0.018853[/C][C]-0.1066[/C][C]0.457867[/C][/ROW]
[ROW][C]31[/C][C]-0.021298[/C][C]-0.1205[/C][C]0.452429[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=61177&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61177&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	-0.000256	-0.0014	0.499426
2	0.235227	1.3306	0.096356
3	0.210482	1.1907	0.121271
4	-0.033222	-0.1879	0.426058
5	-0.000948	-0.0054	0.497877
6	0.029106	0.1646	0.435129
7	0.061995	0.3507	0.364056
8	0.063216	0.3576	0.361494
9	-0.125883	-0.7121	0.240781
10	-0.234884	-1.3287	0.096672
11	-0.145129	-0.821	0.208867
12	-0.341002	-1.929	0.03132
13	0.099159	0.5609	0.289377
14	-0.056937	-0.3221	0.374742
15	0.196817	1.1134	0.136922
16	-0.075453	-0.4268	0.336181
17	-0.0575	-0.3253	0.373547
18	0.04756	0.269	0.394813
19	0.050531	0.2858	0.388419
20	0.010021	0.0567	0.477574
21	-0.132223	-0.748	0.22997
22	-0.05179	-0.293	0.385719
23	-0.040265	-0.2278	0.410637
24	-0.154382	-0.8733	0.194499
25	0.012315	0.0697	0.472446
26	0.072222	0.4085	0.342797
27	0.046504	0.2631	0.397094
28	-0.132525	-0.7497	0.229464
29	-0.043631	-0.2468	0.403314
30	-0.018853	-0.1066	0.457867
31	-0.021298	-0.1205	0.452429
32	NA	NA	NA
33	NA	NA	NA
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
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 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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