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Author

*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 06 Dec 2011 17:46:00 -0500

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/2011/Dec/06/t1323211583kgeox1q3o0eb33h.htm/, Retrieved Mon, 29 Apr 2024 01:53:19 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=152021, Retrieved Mon, 29 Apr 2024 01:53:19 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

119

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       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [(Partial) Autocorrelation Function] [Births] [2010-11-29 09:36:27] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [WS9: ACF1] [2010-12-03 09:56:21] [1fd136673b2a4fecb5c545b9b4a05d64]
-                 [(Partial) Autocorrelation Function] [WS9: ACF2] [2010-12-03 10:07:08] [1fd136673b2a4fecb5c545b9b4a05d64]
- R PD                [(Partial) Autocorrelation Function] [] [2011-12-06 22:46:00] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

6.7
6.9
7.2
7.1
6.5
6.6
6.7
6.9
7.1
7.4
7.6
7.8
8.1
8.5
8.7
8.8
8
8
8.3
8.5
8.7
8.6
8.3
7.9
7.9
8.1
8.3
8.1
7.4
7.3
7.7
8
8
7.7
6.9
6.6
6.9

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	'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=152021&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=152021&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152021&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.83973	5.1079	5e-06
2	0.596777	3.6301	0.000426
3	0.443272	2.6963	0.005245
4	0.40901	2.4879	0.00874
5	0.391139	2.3792	0.01131
6	0.327257	1.9906	0.026974
7	0.160887	0.9786	0.167057
8	-0.049205	-0.2993	0.383191
9	-0.192831	-1.1729	0.124157
10	-0.220089	-1.3388	0.09441
11	-0.202798	-1.2336	0.112571
12	-0.228992	-1.3929	0.085981
13	-0.351733	-2.1395	0.019529
14	-0.465771	-2.8332	0.003709
15	-0.474494	-2.8862	0.003236
16	-0.389895	-2.3716	0.011513
17	-0.317588	-1.9318	0.030534
18	-0.278427	-1.6936	0.049372
19	-0.292916	-1.7817	0.041501
20	-0.32956	-2.0046	0.026181
21	-0.316604	-1.9258	0.030918
22	-0.230829	-1.4041	0.084317
23	-0.136129	-0.828	0.206479
24	-0.075051	-0.4565	0.325344
25	-0.056171	-0.3417	0.367264
26	-0.032416	-0.1972	0.422384
27	0.034825	0.2118	0.416701
28	0.113929	0.693	0.246317
29	0.141893	0.8631	0.196821
30	0.137474	0.8362	0.2042
31	0.113313	0.6893	0.247482
32	0.089978	0.5473	0.293725
33	0.08856	0.5387	0.296664
34	0.113649	0.6913	0.246846
35	0.095889	0.5833	0.281626
36	0.043918	0.2671	0.395421
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

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.83973 & 5.1079 & 5e-06 \tabularnewline
2 & 0.596777 & 3.6301 & 0.000426 \tabularnewline
3 & 0.443272 & 2.6963 & 0.005245 \tabularnewline
4 & 0.40901 & 2.4879 & 0.00874 \tabularnewline
5 & 0.391139 & 2.3792 & 0.01131 \tabularnewline
6 & 0.327257 & 1.9906 & 0.026974 \tabularnewline
7 & 0.160887 & 0.9786 & 0.167057 \tabularnewline
8 & -0.049205 & -0.2993 & 0.383191 \tabularnewline
9 & -0.192831 & -1.1729 & 0.124157 \tabularnewline
10 & -0.220089 & -1.3388 & 0.09441 \tabularnewline
11 & -0.202798 & -1.2336 & 0.112571 \tabularnewline
12 & -0.228992 & -1.3929 & 0.085981 \tabularnewline
13 & -0.351733 & -2.1395 & 0.019529 \tabularnewline
14 & -0.465771 & -2.8332 & 0.003709 \tabularnewline
15 & -0.474494 & -2.8862 & 0.003236 \tabularnewline
16 & -0.389895 & -2.3716 & 0.011513 \tabularnewline
17 & -0.317588 & -1.9318 & 0.030534 \tabularnewline
18 & -0.278427 & -1.6936 & 0.049372 \tabularnewline
19 & -0.292916 & -1.7817 & 0.041501 \tabularnewline
20 & -0.32956 & -2.0046 & 0.026181 \tabularnewline
21 & -0.316604 & -1.9258 & 0.030918 \tabularnewline
22 & -0.230829 & -1.4041 & 0.084317 \tabularnewline
23 & -0.136129 & -0.828 & 0.206479 \tabularnewline
24 & -0.075051 & -0.4565 & 0.325344 \tabularnewline
25 & -0.056171 & -0.3417 & 0.367264 \tabularnewline
26 & -0.032416 & -0.1972 & 0.422384 \tabularnewline
27 & 0.034825 & 0.2118 & 0.416701 \tabularnewline
28 & 0.113929 & 0.693 & 0.246317 \tabularnewline
29 & 0.141893 & 0.8631 & 0.196821 \tabularnewline
30 & 0.137474 & 0.8362 & 0.2042 \tabularnewline
31 & 0.113313 & 0.6893 & 0.247482 \tabularnewline
32 & 0.089978 & 0.5473 & 0.293725 \tabularnewline
33 & 0.08856 & 0.5387 & 0.296664 \tabularnewline
34 & 0.113649 & 0.6913 & 0.246846 \tabularnewline
35 & 0.095889 & 0.5833 & 0.281626 \tabularnewline
36 & 0.043918 & 0.2671 & 0.395421 \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=152021&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]0.83973[/C][C]5.1079[/C][C]5e-06[/C][/ROW]
[ROW][C]2[/C][C]0.596777[/C][C]3.6301[/C][C]0.000426[/C][/ROW]
[ROW][C]3[/C][C]0.443272[/C][C]2.6963[/C][C]0.005245[/C][/ROW]
[ROW][C]4[/C][C]0.40901[/C][C]2.4879[/C][C]0.00874[/C][/ROW]
[ROW][C]5[/C][C]0.391139[/C][C]2.3792[/C][C]0.01131[/C][/ROW]
[ROW][C]6[/C][C]0.327257[/C][C]1.9906[/C][C]0.026974[/C][/ROW]
[ROW][C]7[/C][C]0.160887[/C][C]0.9786[/C][C]0.167057[/C][/ROW]
[ROW][C]8[/C][C]-0.049205[/C][C]-0.2993[/C][C]0.383191[/C][/ROW]
[ROW][C]9[/C][C]-0.192831[/C][C]-1.1729[/C][C]0.124157[/C][/ROW]
[ROW][C]10[/C][C]-0.220089[/C][C]-1.3388[/C][C]0.09441[/C][/ROW]
[ROW][C]11[/C][C]-0.202798[/C][C]-1.2336[/C][C]0.112571[/C][/ROW]
[ROW][C]12[/C][C]-0.228992[/C][C]-1.3929[/C][C]0.085981[/C][/ROW]
[ROW][C]13[/C][C]-0.351733[/C][C]-2.1395[/C][C]0.019529[/C][/ROW]
[ROW][C]14[/C][C]-0.465771[/C][C]-2.8332[/C][C]0.003709[/C][/ROW]
[ROW][C]15[/C][C]-0.474494[/C][C]-2.8862[/C][C]0.003236[/C][/ROW]
[ROW][C]16[/C][C]-0.389895[/C][C]-2.3716[/C][C]0.011513[/C][/ROW]
[ROW][C]17[/C][C]-0.317588[/C][C]-1.9318[/C][C]0.030534[/C][/ROW]
[ROW][C]18[/C][C]-0.278427[/C][C]-1.6936[/C][C]0.049372[/C][/ROW]
[ROW][C]19[/C][C]-0.292916[/C][C]-1.7817[/C][C]0.041501[/C][/ROW]
[ROW][C]20[/C][C]-0.32956[/C][C]-2.0046[/C][C]0.026181[/C][/ROW]
[ROW][C]21[/C][C]-0.316604[/C][C]-1.9258[/C][C]0.030918[/C][/ROW]
[ROW][C]22[/C][C]-0.230829[/C][C]-1.4041[/C][C]0.084317[/C][/ROW]
[ROW][C]23[/C][C]-0.136129[/C][C]-0.828[/C][C]0.206479[/C][/ROW]
[ROW][C]24[/C][C]-0.075051[/C][C]-0.4565[/C][C]0.325344[/C][/ROW]
[ROW][C]25[/C][C]-0.056171[/C][C]-0.3417[/C][C]0.367264[/C][/ROW]
[ROW][C]26[/C][C]-0.032416[/C][C]-0.1972[/C][C]0.422384[/C][/ROW]
[ROW][C]27[/C][C]0.034825[/C][C]0.2118[/C][C]0.416701[/C][/ROW]
[ROW][C]28[/C][C]0.113929[/C][C]0.693[/C][C]0.246317[/C][/ROW]
[ROW][C]29[/C][C]0.141893[/C][C]0.8631[/C][C]0.196821[/C][/ROW]
[ROW][C]30[/C][C]0.137474[/C][C]0.8362[/C][C]0.2042[/C][/ROW]
[ROW][C]31[/C][C]0.113313[/C][C]0.6893[/C][C]0.247482[/C][/ROW]
[ROW][C]32[/C][C]0.089978[/C][C]0.5473[/C][C]0.293725[/C][/ROW]
[ROW][C]33[/C][C]0.08856[/C][C]0.5387[/C][C]0.296664[/C][/ROW]
[ROW][C]34[/C][C]0.113649[/C][C]0.6913[/C][C]0.246846[/C][/ROW]
[ROW][C]35[/C][C]0.095889[/C][C]0.5833[/C][C]0.281626[/C][/ROW]
[ROW][C]36[/C][C]0.043918[/C][C]0.2671[/C][C]0.395421[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=152021&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152021&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	0.83973	5.1079	5e-06
2	0.596777	3.6301	0.000426
3	0.443272	2.6963	0.005245
4	0.40901	2.4879	0.00874
5	0.391139	2.3792	0.01131
6	0.327257	1.9906	0.026974
7	0.160887	0.9786	0.167057
8	-0.049205	-0.2993	0.383191
9	-0.192831	-1.1729	0.124157
10	-0.220089	-1.3388	0.09441
11	-0.202798	-1.2336	0.112571
12	-0.228992	-1.3929	0.085981
13	-0.351733	-2.1395	0.019529
14	-0.465771	-2.8332	0.003709
15	-0.474494	-2.8862	0.003236
16	-0.389895	-2.3716	0.011513
17	-0.317588	-1.9318	0.030534
18	-0.278427	-1.6936	0.049372
19	-0.292916	-1.7817	0.041501
20	-0.32956	-2.0046	0.026181
21	-0.316604	-1.9258	0.030918
22	-0.230829	-1.4041	0.084317
23	-0.136129	-0.828	0.206479
24	-0.075051	-0.4565	0.325344
25	-0.056171	-0.3417	0.367264
26	-0.032416	-0.1972	0.422384
27	0.034825	0.2118	0.416701
28	0.113929	0.693	0.246317
29	0.141893	0.8631	0.196821
30	0.137474	0.8362	0.2042
31	0.113313	0.6893	0.247482
32	0.089978	0.5473	0.293725
33	0.08856	0.5387	0.296664
34	0.113649	0.6913	0.246846
35	0.095889	0.5833	0.281626
36	0.043918	0.2671	0.395421
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

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.83973	5.1079	5e-06
2	-0.367533	-2.2356	0.015747
3	0.2611	1.5882	0.060374
4	0.153403	0.9331	0.178406
5	-0.093493	-0.5687	0.2865
6	-0.038808	-0.2361	0.407345
7	-0.339048	-2.0624	0.023124
8	-0.172587	-1.0498	0.150308
9	-0.010251	-0.0624	0.475307
10	0.023768	0.1446	0.442916
11	-0.013946	-0.0848	0.466427
12	-0.072624	-0.4418	0.330618
13	-0.245307	-1.4921	0.07207
14	0.077813	0.4733	0.319383
15	0.060288	0.3667	0.357959
16	-0.034664	-0.2109	0.417079
17	-0.085364	-0.5192	0.30334
18	0.08088	0.492	0.312822
19	-0.112152	-0.6822	0.249683
20	-0.112966	-0.6871	0.248138
21	-0.026115	-0.1589	0.437325
22	-0.089627	-0.5452	0.29445
23	0.008023	0.0488	0.48067
24	0.075455	0.459	0.324469
25	-0.015623	-0.095	0.462401
26	0.068337	0.4157	0.340024
27	0.060287	0.3667	0.357962
28	-0.133455	-0.8118	0.211056
29	-0.09317	-0.5667	0.287159
30	-0.000189	-0.0011	0.499544
31	-0.135436	-0.8238	0.207658
32	-0.008962	-0.0545	0.47841
33	-0.007672	-0.0467	0.481515
34	-0.062948	-0.3829	0.351994
35	-0.105269	-0.6403	0.262954
36	0.047886	0.2913	0.386232
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

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.83973 & 5.1079 & 5e-06 \tabularnewline
2 & -0.367533 & -2.2356 & 0.015747 \tabularnewline
3 & 0.2611 & 1.5882 & 0.060374 \tabularnewline
4 & 0.153403 & 0.9331 & 0.178406 \tabularnewline
5 & -0.093493 & -0.5687 & 0.2865 \tabularnewline
6 & -0.038808 & -0.2361 & 0.407345 \tabularnewline
7 & -0.339048 & -2.0624 & 0.023124 \tabularnewline
8 & -0.172587 & -1.0498 & 0.150308 \tabularnewline
9 & -0.010251 & -0.0624 & 0.475307 \tabularnewline
10 & 0.023768 & 0.1446 & 0.442916 \tabularnewline
11 & -0.013946 & -0.0848 & 0.466427 \tabularnewline
12 & -0.072624 & -0.4418 & 0.330618 \tabularnewline
13 & -0.245307 & -1.4921 & 0.07207 \tabularnewline
14 & 0.077813 & 0.4733 & 0.319383 \tabularnewline
15 & 0.060288 & 0.3667 & 0.357959 \tabularnewline
16 & -0.034664 & -0.2109 & 0.417079 \tabularnewline
17 & -0.085364 & -0.5192 & 0.30334 \tabularnewline
18 & 0.08088 & 0.492 & 0.312822 \tabularnewline
19 & -0.112152 & -0.6822 & 0.249683 \tabularnewline
20 & -0.112966 & -0.6871 & 0.248138 \tabularnewline
21 & -0.026115 & -0.1589 & 0.437325 \tabularnewline
22 & -0.089627 & -0.5452 & 0.29445 \tabularnewline
23 & 0.008023 & 0.0488 & 0.48067 \tabularnewline
24 & 0.075455 & 0.459 & 0.324469 \tabularnewline
25 & -0.015623 & -0.095 & 0.462401 \tabularnewline
26 & 0.068337 & 0.4157 & 0.340024 \tabularnewline
27 & 0.060287 & 0.3667 & 0.357962 \tabularnewline
28 & -0.133455 & -0.8118 & 0.211056 \tabularnewline
29 & -0.09317 & -0.5667 & 0.287159 \tabularnewline
30 & -0.000189 & -0.0011 & 0.499544 \tabularnewline
31 & -0.135436 & -0.8238 & 0.207658 \tabularnewline
32 & -0.008962 & -0.0545 & 0.47841 \tabularnewline
33 & -0.007672 & -0.0467 & 0.481515 \tabularnewline
34 & -0.062948 & -0.3829 & 0.351994 \tabularnewline
35 & -0.105269 & -0.6403 & 0.262954 \tabularnewline
36 & 0.047886 & 0.2913 & 0.386232 \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=152021&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]0.83973[/C][C]5.1079[/C][C]5e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.367533[/C][C]-2.2356[/C][C]0.015747[/C][/ROW]
[ROW][C]3[/C][C]0.2611[/C][C]1.5882[/C][C]0.060374[/C][/ROW]
[ROW][C]4[/C][C]0.153403[/C][C]0.9331[/C][C]0.178406[/C][/ROW]
[ROW][C]5[/C][C]-0.093493[/C][C]-0.5687[/C][C]0.2865[/C][/ROW]
[ROW][C]6[/C][C]-0.038808[/C][C]-0.2361[/C][C]0.407345[/C][/ROW]
[ROW][C]7[/C][C]-0.339048[/C][C]-2.0624[/C][C]0.023124[/C][/ROW]
[ROW][C]8[/C][C]-0.172587[/C][C]-1.0498[/C][C]0.150308[/C][/ROW]
[ROW][C]9[/C][C]-0.010251[/C][C]-0.0624[/C][C]0.475307[/C][/ROW]
[ROW][C]10[/C][C]0.023768[/C][C]0.1446[/C][C]0.442916[/C][/ROW]
[ROW][C]11[/C][C]-0.013946[/C][C]-0.0848[/C][C]0.466427[/C][/ROW]
[ROW][C]12[/C][C]-0.072624[/C][C]-0.4418[/C][C]0.330618[/C][/ROW]
[ROW][C]13[/C][C]-0.245307[/C][C]-1.4921[/C][C]0.07207[/C][/ROW]
[ROW][C]14[/C][C]0.077813[/C][C]0.4733[/C][C]0.319383[/C][/ROW]
[ROW][C]15[/C][C]0.060288[/C][C]0.3667[/C][C]0.357959[/C][/ROW]
[ROW][C]16[/C][C]-0.034664[/C][C]-0.2109[/C][C]0.417079[/C][/ROW]
[ROW][C]17[/C][C]-0.085364[/C][C]-0.5192[/C][C]0.30334[/C][/ROW]
[ROW][C]18[/C][C]0.08088[/C][C]0.492[/C][C]0.312822[/C][/ROW]
[ROW][C]19[/C][C]-0.112152[/C][C]-0.6822[/C][C]0.249683[/C][/ROW]
[ROW][C]20[/C][C]-0.112966[/C][C]-0.6871[/C][C]0.248138[/C][/ROW]
[ROW][C]21[/C][C]-0.026115[/C][C]-0.1589[/C][C]0.437325[/C][/ROW]
[ROW][C]22[/C][C]-0.089627[/C][C]-0.5452[/C][C]0.29445[/C][/ROW]
[ROW][C]23[/C][C]0.008023[/C][C]0.0488[/C][C]0.48067[/C][/ROW]
[ROW][C]24[/C][C]0.075455[/C][C]0.459[/C][C]0.324469[/C][/ROW]
[ROW][C]25[/C][C]-0.015623[/C][C]-0.095[/C][C]0.462401[/C][/ROW]
[ROW][C]26[/C][C]0.068337[/C][C]0.4157[/C][C]0.340024[/C][/ROW]
[ROW][C]27[/C][C]0.060287[/C][C]0.3667[/C][C]0.357962[/C][/ROW]
[ROW][C]28[/C][C]-0.133455[/C][C]-0.8118[/C][C]0.211056[/C][/ROW]
[ROW][C]29[/C][C]-0.09317[/C][C]-0.5667[/C][C]0.287159[/C][/ROW]
[ROW][C]30[/C][C]-0.000189[/C][C]-0.0011[/C][C]0.499544[/C][/ROW]
[ROW][C]31[/C][C]-0.135436[/C][C]-0.8238[/C][C]0.207658[/C][/ROW]
[ROW][C]32[/C][C]-0.008962[/C][C]-0.0545[/C][C]0.47841[/C][/ROW]
[ROW][C]33[/C][C]-0.007672[/C][C]-0.0467[/C][C]0.481515[/C][/ROW]
[ROW][C]34[/C][C]-0.062948[/C][C]-0.3829[/C][C]0.351994[/C][/ROW]
[ROW][C]35[/C][C]-0.105269[/C][C]-0.6403[/C][C]0.262954[/C][/ROW]
[ROW][C]36[/C][C]0.047886[/C][C]0.2913[/C][C]0.386232[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=152021&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152021&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	0.83973	5.1079	5e-06
2	-0.367533	-2.2356	0.015747
3	0.2611	1.5882	0.060374
4	0.153403	0.9331	0.178406
5	-0.093493	-0.5687	0.2865
6	-0.038808	-0.2361	0.407345
7	-0.339048	-2.0624	0.023124
8	-0.172587	-1.0498	0.150308
9	-0.010251	-0.0624	0.475307
10	0.023768	0.1446	0.442916
11	-0.013946	-0.0848	0.466427
12	-0.072624	-0.4418	0.330618
13	-0.245307	-1.4921	0.07207
14	0.077813	0.4733	0.319383
15	0.060288	0.3667	0.357959
16	-0.034664	-0.2109	0.417079
17	-0.085364	-0.5192	0.30334
18	0.08088	0.492	0.312822
19	-0.112152	-0.6822	0.249683
20	-0.112966	-0.6871	0.248138
21	-0.026115	-0.1589	0.437325
22	-0.089627	-0.5452	0.29445
23	0.008023	0.0488	0.48067
24	0.075455	0.459	0.324469
25	-0.015623	-0.095	0.462401
26	0.068337	0.4157	0.340024
27	0.060287	0.3667	0.357962
28	-0.133455	-0.8118	0.211056
29	-0.09317	-0.5667	0.287159
30	-0.000189	-0.0011	0.499544
31	-0.135436	-0.8238	0.207658
32	-0.008962	-0.0545	0.47841
33	-0.007672	-0.0467	0.481515
34	-0.062948	-0.3829	0.351994
35	-0.105269	-0.6403	0.262954
36	0.047886	0.2913	0.386232
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

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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