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Author's title

(Partial) Autocorrelation voor het aantal mannelijke werklozen in het Vlaam...

Author

*The author of this computation has been verified*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 11 Dec 2008 08:06:01 -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/2008/Dec/11/t1229007998xqj66w5xfotj505.htm/, Retrieved Fri, 17 May 2024 04:17:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32294, Retrieved Fri, 17 May 2024 04:17:49 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

202

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

-     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 14:56:15] [87cabf13a90315c7085b765dcebb7412]
-   P     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:06:01] [6fc58909ffe15c247a4f6748c8841ab4] [Current]
-   P       [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:15:19] [87cabf13a90315c7085b765dcebb7412] 
-   PD      [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:23:01] [87cabf13a90315c7085b765dcebb7412] 
-   P         [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-12 09:41:51] [87cabf13a90315c7085b765dcebb7412] 
-   P           [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-12 09:46:16] [87cabf13a90315c7085b765dcebb7412] 
- RMPD          [Spectral Analysis] [Spectral Analysis...] [2008-12-12 09:54:07] [87cabf13a90315c7085b765dcebb7412] 
-   P             [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:06:12] [87cabf13a90315c7085b765dcebb7412] 
-   P               [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:11:50] [87cabf13a90315c7085b765dcebb7412] 
-   PD                [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:22:03] [87cabf13a90315c7085b765dcebb7412] 
-   P                   [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:29:35] [87cabf13a90315c7085b765dcebb7412] 
-    D          [(Partial) Autocorrelation Function] [autocorrelation < 20] [2008-12-18 14:35:59] [631938996a408f8d8cf3d9850ca0cd03] 
-   PD          [(Partial) Autocorrelation Function] [autocorrelation <...] [2008-12-18 14:42:48] [631938996a408f8d8cf3d9850ca0cd03] 
-   PD          [(Partial) Autocorrelation Function] [autocorrelation <...] [2008-12-18 14:46:54] [631938996a408f8d8cf3d9850ca0cd03] 
-   PD          [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:08:48] [631938996a408f8d8cf3d9850ca0cd03] 
-   PD          [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:13:35] [631938996a408f8d8cf3d9850ca0cd03] 
-                 [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:18:37] [631938996a408f8d8cf3d9850ca0cd03] 
- RM D            [Central Tendency] [central tendency ...] [2008-12-18 15:43:24] [631938996a408f8d8cf3d9850ca0cd03] 
-    D              [Central Tendency] [central tendency ...] [2008-12-18 15:52:59] [631938996a408f8d8cf3d9850ca0cd03] 
- RM                [Mean Plot] [mean plot tijdree...] [2008-12-18 16:03:30] [631938996a408f8d8cf3d9850ca0cd03] 
-    D                [Mean Plot] [mean plot tijdree...] [2008-12-18 16:10:04] [631938996a408f8d8cf3d9850ca0cd03] 

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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	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32294&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32294&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32294&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	'George Udny Yule' @ 72.249.76.132

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.192328	2.0981	0.019008
2	-0.31512	-3.4375	0.000405
3	-0.272619	-2.9739	0.00178
4	-0.126271	-1.3775	0.085478
5	0.085877	0.9368	0.175377
6	0.087583	0.9554	0.170653
7	0.089521	0.9766	0.165384
8	-0.129911	-1.4172	0.079524
9	-0.216288	-2.3594	0.009966
10	-0.28976	-3.1609	0.000998
11	0.221121	2.4121	0.008693
12	0.808613	8.8209	0
13	0.159253	1.7372	0.042466
14	-0.290783	-3.1721	0.000963
15	-0.241549	-2.635	0.004767
16	-0.124392	-1.357	0.088681
17	0.054333	0.5927	0.277253
18	0.059715	0.6514	0.258017
19	0.063418	0.6918	0.245202
20	-0.10921	-1.1913	0.117946
21	-0.172837	-1.8854	0.030905
22	-0.273935	-2.9883	0.001704
23	0.205933	2.2465	0.013259
24	0.704562	7.6859	0
25	0.113492	1.2381	0.109066
26	-0.26724	-2.9152	0.002124
27	-0.235142	-2.5651	0.005779
28	-0.131383	-1.4332	0.077209
29	0.03629	0.3959	0.346451
30	0.068277	0.7448	0.228927
31	0.055407	0.6044	0.273358
32	-0.108371	-1.1822	0.119743
33	-0.17059	-1.8609	0.032612
34	-0.260481	-2.8415	0.002642
35	0.21375	2.3317	0.010698
36	0.6031	6.579	0
37	0.068244	0.7445	0.229034
38	-0.222879	-2.4313	0.008267
39	-0.223828	-2.4417	0.008045
40	-0.122422	-1.3355	0.092136
41	0.028965	0.316	0.37629
42	0.054968	0.5996	0.274948
43	0.050753	0.5537	0.290427
44	-0.105256	-1.1482	0.126594
45	-0.166479	-1.8161	0.035938
46	-0.230041	-2.5095	0.006718
47	0.190002	2.0727	0.020181
48	0.533226	5.8168	0
49	0.024958	0.2723	0.392949
50	-0.202504	-2.2091	0.014543
51	-0.199589	-2.1773	0.015718
52	-0.09889	-1.0788	0.141437
53	0.014747	0.1609	0.436234
54	0.059296	0.6468	0.25949
55	0.043324	0.4726	0.318678
56	-0.075	-0.8182	0.207452
57	-0.138185	-1.5074	0.067176
58	-0.199095	-2.1719	0.015925
59	0.167193	1.8239	0.035341
60	0.430386	4.695	4e-06

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.192328 & 2.0981 & 0.019008 \tabularnewline
2 & -0.31512 & -3.4375 & 0.000405 \tabularnewline
3 & -0.272619 & -2.9739 & 0.00178 \tabularnewline
4 & -0.126271 & -1.3775 & 0.085478 \tabularnewline
5 & 0.085877 & 0.9368 & 0.175377 \tabularnewline
6 & 0.087583 & 0.9554 & 0.170653 \tabularnewline
7 & 0.089521 & 0.9766 & 0.165384 \tabularnewline
8 & -0.129911 & -1.4172 & 0.079524 \tabularnewline
9 & -0.216288 & -2.3594 & 0.009966 \tabularnewline
10 & -0.28976 & -3.1609 & 0.000998 \tabularnewline
11 & 0.221121 & 2.4121 & 0.008693 \tabularnewline
12 & 0.808613 & 8.8209 & 0 \tabularnewline
13 & 0.159253 & 1.7372 & 0.042466 \tabularnewline
14 & -0.290783 & -3.1721 & 0.000963 \tabularnewline
15 & -0.241549 & -2.635 & 0.004767 \tabularnewline
16 & -0.124392 & -1.357 & 0.088681 \tabularnewline
17 & 0.054333 & 0.5927 & 0.277253 \tabularnewline
18 & 0.059715 & 0.6514 & 0.258017 \tabularnewline
19 & 0.063418 & 0.6918 & 0.245202 \tabularnewline
20 & -0.10921 & -1.1913 & 0.117946 \tabularnewline
21 & -0.172837 & -1.8854 & 0.030905 \tabularnewline
22 & -0.273935 & -2.9883 & 0.001704 \tabularnewline
23 & 0.205933 & 2.2465 & 0.013259 \tabularnewline
24 & 0.704562 & 7.6859 & 0 \tabularnewline
25 & 0.113492 & 1.2381 & 0.109066 \tabularnewline
26 & -0.26724 & -2.9152 & 0.002124 \tabularnewline
27 & -0.235142 & -2.5651 & 0.005779 \tabularnewline
28 & -0.131383 & -1.4332 & 0.077209 \tabularnewline
29 & 0.03629 & 0.3959 & 0.346451 \tabularnewline
30 & 0.068277 & 0.7448 & 0.228927 \tabularnewline
31 & 0.055407 & 0.6044 & 0.273358 \tabularnewline
32 & -0.108371 & -1.1822 & 0.119743 \tabularnewline
33 & -0.17059 & -1.8609 & 0.032612 \tabularnewline
34 & -0.260481 & -2.8415 & 0.002642 \tabularnewline
35 & 0.21375 & 2.3317 & 0.010698 \tabularnewline
36 & 0.6031 & 6.579 & 0 \tabularnewline
37 & 0.068244 & 0.7445 & 0.229034 \tabularnewline
38 & -0.222879 & -2.4313 & 0.008267 \tabularnewline
39 & -0.223828 & -2.4417 & 0.008045 \tabularnewline
40 & -0.122422 & -1.3355 & 0.092136 \tabularnewline
41 & 0.028965 & 0.316 & 0.37629 \tabularnewline
42 & 0.054968 & 0.5996 & 0.274948 \tabularnewline
43 & 0.050753 & 0.5537 & 0.290427 \tabularnewline
44 & -0.105256 & -1.1482 & 0.126594 \tabularnewline
45 & -0.166479 & -1.8161 & 0.035938 \tabularnewline
46 & -0.230041 & -2.5095 & 0.006718 \tabularnewline
47 & 0.190002 & 2.0727 & 0.020181 \tabularnewline
48 & 0.533226 & 5.8168 & 0 \tabularnewline
49 & 0.024958 & 0.2723 & 0.392949 \tabularnewline
50 & -0.202504 & -2.2091 & 0.014543 \tabularnewline
51 & -0.199589 & -2.1773 & 0.015718 \tabularnewline
52 & -0.09889 & -1.0788 & 0.141437 \tabularnewline
53 & 0.014747 & 0.1609 & 0.436234 \tabularnewline
54 & 0.059296 & 0.6468 & 0.25949 \tabularnewline
55 & 0.043324 & 0.4726 & 0.318678 \tabularnewline
56 & -0.075 & -0.8182 & 0.207452 \tabularnewline
57 & -0.138185 & -1.5074 & 0.067176 \tabularnewline
58 & -0.199095 & -2.1719 & 0.015925 \tabularnewline
59 & 0.167193 & 1.8239 & 0.035341 \tabularnewline
60 & 0.430386 & 4.695 & 4e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32294&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]0.192328[/C][C]2.0981[/C][C]0.019008[/C][/ROW]
[ROW][C]2[/C][C]-0.31512[/C][C]-3.4375[/C][C]0.000405[/C][/ROW]
[ROW][C]3[/C][C]-0.272619[/C][C]-2.9739[/C][C]0.00178[/C][/ROW]
[ROW][C]4[/C][C]-0.126271[/C][C]-1.3775[/C][C]0.085478[/C][/ROW]
[ROW][C]5[/C][C]0.085877[/C][C]0.9368[/C][C]0.175377[/C][/ROW]
[ROW][C]6[/C][C]0.087583[/C][C]0.9554[/C][C]0.170653[/C][/ROW]
[ROW][C]7[/C][C]0.089521[/C][C]0.9766[/C][C]0.165384[/C][/ROW]
[ROW][C]8[/C][C]-0.129911[/C][C]-1.4172[/C][C]0.079524[/C][/ROW]
[ROW][C]9[/C][C]-0.216288[/C][C]-2.3594[/C][C]0.009966[/C][/ROW]
[ROW][C]10[/C][C]-0.28976[/C][C]-3.1609[/C][C]0.000998[/C][/ROW]
[ROW][C]11[/C][C]0.221121[/C][C]2.4121[/C][C]0.008693[/C][/ROW]
[ROW][C]12[/C][C]0.808613[/C][C]8.8209[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.159253[/C][C]1.7372[/C][C]0.042466[/C][/ROW]
[ROW][C]14[/C][C]-0.290783[/C][C]-3.1721[/C][C]0.000963[/C][/ROW]
[ROW][C]15[/C][C]-0.241549[/C][C]-2.635[/C][C]0.004767[/C][/ROW]
[ROW][C]16[/C][C]-0.124392[/C][C]-1.357[/C][C]0.088681[/C][/ROW]
[ROW][C]17[/C][C]0.054333[/C][C]0.5927[/C][C]0.277253[/C][/ROW]
[ROW][C]18[/C][C]0.059715[/C][C]0.6514[/C][C]0.258017[/C][/ROW]
[ROW][C]19[/C][C]0.063418[/C][C]0.6918[/C][C]0.245202[/C][/ROW]
[ROW][C]20[/C][C]-0.10921[/C][C]-1.1913[/C][C]0.117946[/C][/ROW]
[ROW][C]21[/C][C]-0.172837[/C][C]-1.8854[/C][C]0.030905[/C][/ROW]
[ROW][C]22[/C][C]-0.273935[/C][C]-2.9883[/C][C]0.001704[/C][/ROW]
[ROW][C]23[/C][C]0.205933[/C][C]2.2465[/C][C]0.013259[/C][/ROW]
[ROW][C]24[/C][C]0.704562[/C][C]7.6859[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.113492[/C][C]1.2381[/C][C]0.109066[/C][/ROW]
[ROW][C]26[/C][C]-0.26724[/C][C]-2.9152[/C][C]0.002124[/C][/ROW]
[ROW][C]27[/C][C]-0.235142[/C][C]-2.5651[/C][C]0.005779[/C][/ROW]
[ROW][C]28[/C][C]-0.131383[/C][C]-1.4332[/C][C]0.077209[/C][/ROW]
[ROW][C]29[/C][C]0.03629[/C][C]0.3959[/C][C]0.346451[/C][/ROW]
[ROW][C]30[/C][C]0.068277[/C][C]0.7448[/C][C]0.228927[/C][/ROW]
[ROW][C]31[/C][C]0.055407[/C][C]0.6044[/C][C]0.273358[/C][/ROW]
[ROW][C]32[/C][C]-0.108371[/C][C]-1.1822[/C][C]0.119743[/C][/ROW]
[ROW][C]33[/C][C]-0.17059[/C][C]-1.8609[/C][C]0.032612[/C][/ROW]
[ROW][C]34[/C][C]-0.260481[/C][C]-2.8415[/C][C]0.002642[/C][/ROW]
[ROW][C]35[/C][C]0.21375[/C][C]2.3317[/C][C]0.010698[/C][/ROW]
[ROW][C]36[/C][C]0.6031[/C][C]6.579[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.068244[/C][C]0.7445[/C][C]0.229034[/C][/ROW]
[ROW][C]38[/C][C]-0.222879[/C][C]-2.4313[/C][C]0.008267[/C][/ROW]
[ROW][C]39[/C][C]-0.223828[/C][C]-2.4417[/C][C]0.008045[/C][/ROW]
[ROW][C]40[/C][C]-0.122422[/C][C]-1.3355[/C][C]0.092136[/C][/ROW]
[ROW][C]41[/C][C]0.028965[/C][C]0.316[/C][C]0.37629[/C][/ROW]
[ROW][C]42[/C][C]0.054968[/C][C]0.5996[/C][C]0.274948[/C][/ROW]
[ROW][C]43[/C][C]0.050753[/C][C]0.5537[/C][C]0.290427[/C][/ROW]
[ROW][C]44[/C][C]-0.105256[/C][C]-1.1482[/C][C]0.126594[/C][/ROW]
[ROW][C]45[/C][C]-0.166479[/C][C]-1.8161[/C][C]0.035938[/C][/ROW]
[ROW][C]46[/C][C]-0.230041[/C][C]-2.5095[/C][C]0.006718[/C][/ROW]
[ROW][C]47[/C][C]0.190002[/C][C]2.0727[/C][C]0.020181[/C][/ROW]
[ROW][C]48[/C][C]0.533226[/C][C]5.8168[/C][C]0[/C][/ROW]
[ROW][C]49[/C][C]0.024958[/C][C]0.2723[/C][C]0.392949[/C][/ROW]
[ROW][C]50[/C][C]-0.202504[/C][C]-2.2091[/C][C]0.014543[/C][/ROW]
[ROW][C]51[/C][C]-0.199589[/C][C]-2.1773[/C][C]0.015718[/C][/ROW]
[ROW][C]52[/C][C]-0.09889[/C][C]-1.0788[/C][C]0.141437[/C][/ROW]
[ROW][C]53[/C][C]0.014747[/C][C]0.1609[/C][C]0.436234[/C][/ROW]
[ROW][C]54[/C][C]0.059296[/C][C]0.6468[/C][C]0.25949[/C][/ROW]
[ROW][C]55[/C][C]0.043324[/C][C]0.4726[/C][C]0.318678[/C][/ROW]
[ROW][C]56[/C][C]-0.075[/C][C]-0.8182[/C][C]0.207452[/C][/ROW]
[ROW][C]57[/C][C]-0.138185[/C][C]-1.5074[/C][C]0.067176[/C][/ROW]
[ROW][C]58[/C][C]-0.199095[/C][C]-2.1719[/C][C]0.015925[/C][/ROW]
[ROW][C]59[/C][C]0.167193[/C][C]1.8239[/C][C]0.035341[/C][/ROW]
[ROW][C]60[/C][C]0.430386[/C][C]4.695[/C][C]4e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32294&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32294&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	0.192328	2.0981	0.019008
2	-0.31512	-3.4375	0.000405
3	-0.272619	-2.9739	0.00178
4	-0.126271	-1.3775	0.085478
5	0.085877	0.9368	0.175377
6	0.087583	0.9554	0.170653
7	0.089521	0.9766	0.165384
8	-0.129911	-1.4172	0.079524
9	-0.216288	-2.3594	0.009966
10	-0.28976	-3.1609	0.000998
11	0.221121	2.4121	0.008693
12	0.808613	8.8209	0
13	0.159253	1.7372	0.042466
14	-0.290783	-3.1721	0.000963
15	-0.241549	-2.635	0.004767
16	-0.124392	-1.357	0.088681
17	0.054333	0.5927	0.277253
18	0.059715	0.6514	0.258017
19	0.063418	0.6918	0.245202
20	-0.10921	-1.1913	0.117946
21	-0.172837	-1.8854	0.030905
22	-0.273935	-2.9883	0.001704
23	0.205933	2.2465	0.013259
24	0.704562	7.6859	0
25	0.113492	1.2381	0.109066
26	-0.26724	-2.9152	0.002124
27	-0.235142	-2.5651	0.005779
28	-0.131383	-1.4332	0.077209
29	0.03629	0.3959	0.346451
30	0.068277	0.7448	0.228927
31	0.055407	0.6044	0.273358
32	-0.108371	-1.1822	0.119743
33	-0.17059	-1.8609	0.032612
34	-0.260481	-2.8415	0.002642
35	0.21375	2.3317	0.010698
36	0.6031	6.579	0
37	0.068244	0.7445	0.229034
38	-0.222879	-2.4313	0.008267
39	-0.223828	-2.4417	0.008045
40	-0.122422	-1.3355	0.092136
41	0.028965	0.316	0.37629
42	0.054968	0.5996	0.274948
43	0.050753	0.5537	0.290427
44	-0.105256	-1.1482	0.126594
45	-0.166479	-1.8161	0.035938
46	-0.230041	-2.5095	0.006718
47	0.190002	2.0727	0.020181
48	0.533226	5.8168	0
49	0.024958	0.2723	0.392949
50	-0.202504	-2.2091	0.014543
51	-0.199589	-2.1773	0.015718
52	-0.09889	-1.0788	0.141437
53	0.014747	0.1609	0.436234
54	0.059296	0.6468	0.25949
55	0.043324	0.4726	0.318678
56	-0.075	-0.8182	0.207452
57	-0.138185	-1.5074	0.067176
58	-0.199095	-2.1719	0.015925
59	0.167193	1.8239	0.035341
60	0.430386	4.695	4e-06

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.192328	2.0981	0.019008
2	-0.365635	-3.9886	5.8e-05
3	-0.143277	-1.563	0.060358
4	-0.177146	-1.9324	0.027841
5	0.005837	0.0637	0.474667
6	-0.079138	-0.8633	0.194855
7	0.073952	0.8067	0.210718
8	-0.203084	-2.2154	0.014318
9	-0.123363	-1.3457	0.090474
10	-0.421936	-4.6028	5e-06
11	0.280312	3.0578	0.001377
12	0.667421	7.2807	0
13	0.012171	0.1328	0.447299
14	0.07101	0.7746	0.220047
15	0.197096	2.1501	0.016787
16	-0.058981	-0.6434	0.2606
17	0.008075	0.0881	0.464975
18	-0.116464	-1.2705	0.103197
19	-0.04636	-0.5057	0.30699
20	-0.065105	-0.7102	0.23948
21	-0.00072	-0.0079	0.496872
22	-0.15011	-1.6375	0.052083
23	-0.017001	-0.1855	0.426592
24	0.081085	0.8845	0.189095
25	-0.063565	-0.6934	0.244702
26	-0.025898	-0.2825	0.389019
27	0.003137	0.0342	0.486377
28	-0.100348	-1.0947	0.137936
29	0.036042	0.3932	0.347447
30	0.006863	0.0749	0.470222
31	0.019626	0.2141	0.415421
32	-0.068044	-0.7423	0.229691
33	-0.038157	-0.4162	0.338991
34	-0.07201	-0.7855	0.216849
35	0.020716	0.226	0.410802
36	-0.108481	-1.1834	0.119507
37	-0.049021	-0.5348	0.296909
38	0.049427	0.5392	0.295383
39	-0.017419	-0.19	0.424807
40	-0.004727	-0.0516	0.479479
41	0.05712	0.6231	0.267205
42	-0.090295	-0.985	0.16331
43	0.0689	0.7516	0.226885
44	-0.074792	-0.8159	0.208098
45	-0.04775	-0.5209	0.301706
46	-0.004584	-0.05	0.480099
47	-0.102556	-1.1188	0.13275
48	0.014114	0.154	0.438951
49	-0.078971	-0.8615	0.195356
50	-0.100896	-1.1006	0.136637
51	0.000911	0.0099	0.496044
52	-0.01878	-0.2049	0.419015
53	-0.062579	-0.6827	0.248074
54	0.031982	0.3489	0.363897
55	-0.029963	-0.3269	0.372176
56	0.086627	0.945	0.173291
57	0.066647	0.727	0.234318
58	0.069013	0.7528	0.226515
59	-0.066488	-0.7253	0.234848
60	-0.039144	-0.427	0.33507

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.192328 & 2.0981 & 0.019008 \tabularnewline
2 & -0.365635 & -3.9886 & 5.8e-05 \tabularnewline
3 & -0.143277 & -1.563 & 0.060358 \tabularnewline
4 & -0.177146 & -1.9324 & 0.027841 \tabularnewline
5 & 0.005837 & 0.0637 & 0.474667 \tabularnewline
6 & -0.079138 & -0.8633 & 0.194855 \tabularnewline
7 & 0.073952 & 0.8067 & 0.210718 \tabularnewline
8 & -0.203084 & -2.2154 & 0.014318 \tabularnewline
9 & -0.123363 & -1.3457 & 0.090474 \tabularnewline
10 & -0.421936 & -4.6028 & 5e-06 \tabularnewline
11 & 0.280312 & 3.0578 & 0.001377 \tabularnewline
12 & 0.667421 & 7.2807 & 0 \tabularnewline
13 & 0.012171 & 0.1328 & 0.447299 \tabularnewline
14 & 0.07101 & 0.7746 & 0.220047 \tabularnewline
15 & 0.197096 & 2.1501 & 0.016787 \tabularnewline
16 & -0.058981 & -0.6434 & 0.2606 \tabularnewline
17 & 0.008075 & 0.0881 & 0.464975 \tabularnewline
18 & -0.116464 & -1.2705 & 0.103197 \tabularnewline
19 & -0.04636 & -0.5057 & 0.30699 \tabularnewline
20 & -0.065105 & -0.7102 & 0.23948 \tabularnewline
21 & -0.00072 & -0.0079 & 0.496872 \tabularnewline
22 & -0.15011 & -1.6375 & 0.052083 \tabularnewline
23 & -0.017001 & -0.1855 & 0.426592 \tabularnewline
24 & 0.081085 & 0.8845 & 0.189095 \tabularnewline
25 & -0.063565 & -0.6934 & 0.244702 \tabularnewline
26 & -0.025898 & -0.2825 & 0.389019 \tabularnewline
27 & 0.003137 & 0.0342 & 0.486377 \tabularnewline
28 & -0.100348 & -1.0947 & 0.137936 \tabularnewline
29 & 0.036042 & 0.3932 & 0.347447 \tabularnewline
30 & 0.006863 & 0.0749 & 0.470222 \tabularnewline
31 & 0.019626 & 0.2141 & 0.415421 \tabularnewline
32 & -0.068044 & -0.7423 & 0.229691 \tabularnewline
33 & -0.038157 & -0.4162 & 0.338991 \tabularnewline
34 & -0.07201 & -0.7855 & 0.216849 \tabularnewline
35 & 0.020716 & 0.226 & 0.410802 \tabularnewline
36 & -0.108481 & -1.1834 & 0.119507 \tabularnewline
37 & -0.049021 & -0.5348 & 0.296909 \tabularnewline
38 & 0.049427 & 0.5392 & 0.295383 \tabularnewline
39 & -0.017419 & -0.19 & 0.424807 \tabularnewline
40 & -0.004727 & -0.0516 & 0.479479 \tabularnewline
41 & 0.05712 & 0.6231 & 0.267205 \tabularnewline
42 & -0.090295 & -0.985 & 0.16331 \tabularnewline
43 & 0.0689 & 0.7516 & 0.226885 \tabularnewline
44 & -0.074792 & -0.8159 & 0.208098 \tabularnewline
45 & -0.04775 & -0.5209 & 0.301706 \tabularnewline
46 & -0.004584 & -0.05 & 0.480099 \tabularnewline
47 & -0.102556 & -1.1188 & 0.13275 \tabularnewline
48 & 0.014114 & 0.154 & 0.438951 \tabularnewline
49 & -0.078971 & -0.8615 & 0.195356 \tabularnewline
50 & -0.100896 & -1.1006 & 0.136637 \tabularnewline
51 & 0.000911 & 0.0099 & 0.496044 \tabularnewline
52 & -0.01878 & -0.2049 & 0.419015 \tabularnewline
53 & -0.062579 & -0.6827 & 0.248074 \tabularnewline
54 & 0.031982 & 0.3489 & 0.363897 \tabularnewline
55 & -0.029963 & -0.3269 & 0.372176 \tabularnewline
56 & 0.086627 & 0.945 & 0.173291 \tabularnewline
57 & 0.066647 & 0.727 & 0.234318 \tabularnewline
58 & 0.069013 & 0.7528 & 0.226515 \tabularnewline
59 & -0.066488 & -0.7253 & 0.234848 \tabularnewline
60 & -0.039144 & -0.427 & 0.33507 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32294&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]0.192328[/C][C]2.0981[/C][C]0.019008[/C][/ROW]
[ROW][C]2[/C][C]-0.365635[/C][C]-3.9886[/C][C]5.8e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.143277[/C][C]-1.563[/C][C]0.060358[/C][/ROW]
[ROW][C]4[/C][C]-0.177146[/C][C]-1.9324[/C][C]0.027841[/C][/ROW]
[ROW][C]5[/C][C]0.005837[/C][C]0.0637[/C][C]0.474667[/C][/ROW]
[ROW][C]6[/C][C]-0.079138[/C][C]-0.8633[/C][C]0.194855[/C][/ROW]
[ROW][C]7[/C][C]0.073952[/C][C]0.8067[/C][C]0.210718[/C][/ROW]
[ROW][C]8[/C][C]-0.203084[/C][C]-2.2154[/C][C]0.014318[/C][/ROW]
[ROW][C]9[/C][C]-0.123363[/C][C]-1.3457[/C][C]0.090474[/C][/ROW]
[ROW][C]10[/C][C]-0.421936[/C][C]-4.6028[/C][C]5e-06[/C][/ROW]
[ROW][C]11[/C][C]0.280312[/C][C]3.0578[/C][C]0.001377[/C][/ROW]
[ROW][C]12[/C][C]0.667421[/C][C]7.2807[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.012171[/C][C]0.1328[/C][C]0.447299[/C][/ROW]
[ROW][C]14[/C][C]0.07101[/C][C]0.7746[/C][C]0.220047[/C][/ROW]
[ROW][C]15[/C][C]0.197096[/C][C]2.1501[/C][C]0.016787[/C][/ROW]
[ROW][C]16[/C][C]-0.058981[/C][C]-0.6434[/C][C]0.2606[/C][/ROW]
[ROW][C]17[/C][C]0.008075[/C][C]0.0881[/C][C]0.464975[/C][/ROW]
[ROW][C]18[/C][C]-0.116464[/C][C]-1.2705[/C][C]0.103197[/C][/ROW]
[ROW][C]19[/C][C]-0.04636[/C][C]-0.5057[/C][C]0.30699[/C][/ROW]
[ROW][C]20[/C][C]-0.065105[/C][C]-0.7102[/C][C]0.23948[/C][/ROW]
[ROW][C]21[/C][C]-0.00072[/C][C]-0.0079[/C][C]0.496872[/C][/ROW]
[ROW][C]22[/C][C]-0.15011[/C][C]-1.6375[/C][C]0.052083[/C][/ROW]
[ROW][C]23[/C][C]-0.017001[/C][C]-0.1855[/C][C]0.426592[/C][/ROW]
[ROW][C]24[/C][C]0.081085[/C][C]0.8845[/C][C]0.189095[/C][/ROW]
[ROW][C]25[/C][C]-0.063565[/C][C]-0.6934[/C][C]0.244702[/C][/ROW]
[ROW][C]26[/C][C]-0.025898[/C][C]-0.2825[/C][C]0.389019[/C][/ROW]
[ROW][C]27[/C][C]0.003137[/C][C]0.0342[/C][C]0.486377[/C][/ROW]
[ROW][C]28[/C][C]-0.100348[/C][C]-1.0947[/C][C]0.137936[/C][/ROW]
[ROW][C]29[/C][C]0.036042[/C][C]0.3932[/C][C]0.347447[/C][/ROW]
[ROW][C]30[/C][C]0.006863[/C][C]0.0749[/C][C]0.470222[/C][/ROW]
[ROW][C]31[/C][C]0.019626[/C][C]0.2141[/C][C]0.415421[/C][/ROW]
[ROW][C]32[/C][C]-0.068044[/C][C]-0.7423[/C][C]0.229691[/C][/ROW]
[ROW][C]33[/C][C]-0.038157[/C][C]-0.4162[/C][C]0.338991[/C][/ROW]
[ROW][C]34[/C][C]-0.07201[/C][C]-0.7855[/C][C]0.216849[/C][/ROW]
[ROW][C]35[/C][C]0.020716[/C][C]0.226[/C][C]0.410802[/C][/ROW]
[ROW][C]36[/C][C]-0.108481[/C][C]-1.1834[/C][C]0.119507[/C][/ROW]
[ROW][C]37[/C][C]-0.049021[/C][C]-0.5348[/C][C]0.296909[/C][/ROW]
[ROW][C]38[/C][C]0.049427[/C][C]0.5392[/C][C]0.295383[/C][/ROW]
[ROW][C]39[/C][C]-0.017419[/C][C]-0.19[/C][C]0.424807[/C][/ROW]
[ROW][C]40[/C][C]-0.004727[/C][C]-0.0516[/C][C]0.479479[/C][/ROW]
[ROW][C]41[/C][C]0.05712[/C][C]0.6231[/C][C]0.267205[/C][/ROW]
[ROW][C]42[/C][C]-0.090295[/C][C]-0.985[/C][C]0.16331[/C][/ROW]
[ROW][C]43[/C][C]0.0689[/C][C]0.7516[/C][C]0.226885[/C][/ROW]
[ROW][C]44[/C][C]-0.074792[/C][C]-0.8159[/C][C]0.208098[/C][/ROW]
[ROW][C]45[/C][C]-0.04775[/C][C]-0.5209[/C][C]0.301706[/C][/ROW]
[ROW][C]46[/C][C]-0.004584[/C][C]-0.05[/C][C]0.480099[/C][/ROW]
[ROW][C]47[/C][C]-0.102556[/C][C]-1.1188[/C][C]0.13275[/C][/ROW]
[ROW][C]48[/C][C]0.014114[/C][C]0.154[/C][C]0.438951[/C][/ROW]
[ROW][C]49[/C][C]-0.078971[/C][C]-0.8615[/C][C]0.195356[/C][/ROW]
[ROW][C]50[/C][C]-0.100896[/C][C]-1.1006[/C][C]0.136637[/C][/ROW]
[ROW][C]51[/C][C]0.000911[/C][C]0.0099[/C][C]0.496044[/C][/ROW]
[ROW][C]52[/C][C]-0.01878[/C][C]-0.2049[/C][C]0.419015[/C][/ROW]
[ROW][C]53[/C][C]-0.062579[/C][C]-0.6827[/C][C]0.248074[/C][/ROW]
[ROW][C]54[/C][C]0.031982[/C][C]0.3489[/C][C]0.363897[/C][/ROW]
[ROW][C]55[/C][C]-0.029963[/C][C]-0.3269[/C][C]0.372176[/C][/ROW]
[ROW][C]56[/C][C]0.086627[/C][C]0.945[/C][C]0.173291[/C][/ROW]
[ROW][C]57[/C][C]0.066647[/C][C]0.727[/C][C]0.234318[/C][/ROW]
[ROW][C]58[/C][C]0.069013[/C][C]0.7528[/C][C]0.226515[/C][/ROW]
[ROW][C]59[/C][C]-0.066488[/C][C]-0.7253[/C][C]0.234848[/C][/ROW]
[ROW][C]60[/C][C]-0.039144[/C][C]-0.427[/C][C]0.33507[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32294&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32294&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	0.192328	2.0981	0.019008
2	-0.365635	-3.9886	5.8e-05
3	-0.143277	-1.563	0.060358
4	-0.177146	-1.9324	0.027841
5	0.005837	0.0637	0.474667
6	-0.079138	-0.8633	0.194855
7	0.073952	0.8067	0.210718
8	-0.203084	-2.2154	0.014318
9	-0.123363	-1.3457	0.090474
10	-0.421936	-4.6028	5e-06
11	0.280312	3.0578	0.001377
12	0.667421	7.2807	0
13	0.012171	0.1328	0.447299
14	0.07101	0.7746	0.220047
15	0.197096	2.1501	0.016787
16	-0.058981	-0.6434	0.2606
17	0.008075	0.0881	0.464975
18	-0.116464	-1.2705	0.103197
19	-0.04636	-0.5057	0.30699
20	-0.065105	-0.7102	0.23948
21	-0.00072	-0.0079	0.496872
22	-0.15011	-1.6375	0.052083
23	-0.017001	-0.1855	0.426592
24	0.081085	0.8845	0.189095
25	-0.063565	-0.6934	0.244702
26	-0.025898	-0.2825	0.389019
27	0.003137	0.0342	0.486377
28	-0.100348	-1.0947	0.137936
29	0.036042	0.3932	0.347447
30	0.006863	0.0749	0.470222
31	0.019626	0.2141	0.415421
32	-0.068044	-0.7423	0.229691
33	-0.038157	-0.4162	0.338991
34	-0.07201	-0.7855	0.216849
35	0.020716	0.226	0.410802
36	-0.108481	-1.1834	0.119507
37	-0.049021	-0.5348	0.296909
38	0.049427	0.5392	0.295383
39	-0.017419	-0.19	0.424807
40	-0.004727	-0.0516	0.479479
41	0.05712	0.6231	0.267205
42	-0.090295	-0.985	0.16331
43	0.0689	0.7516	0.226885
44	-0.074792	-0.8159	0.208098
45	-0.04775	-0.5209	0.301706
46	-0.004584	-0.05	0.480099
47	-0.102556	-1.1188	0.13275
48	0.014114	0.154	0.438951
49	-0.078971	-0.8615	0.195356
50	-0.100896	-1.1006	0.136637
51	0.000911	0.0099	0.496044
52	-0.01878	-0.2049	0.419015
53	-0.062579	-0.6827	0.248074
54	0.031982	0.3489	0.363897
55	-0.029963	-0.3269	0.372176
56	0.086627	0.945	0.173291
57	0.066647	0.727	0.234318
58	0.069013	0.7528	0.226515
59	-0.066488	-0.7253	0.234848
60	-0.039144	-0.427	0.33507

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 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; 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

(Partial) Autocorrelation voor het aantal mannelijke werklozen in het Vlaam...

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code