Free Statistics

of Irreproducible Research!

Author's title

Paper: autocorrelation werkloosheid 31/01/2002 - 31/12/2007 met d = 1 en D ...

Author

*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 05 Dec 2008 03:26:40 -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/2008/Dec/05/t1228473060dyoxzpub6bfxus2.htm/, Retrieved Fri, 01 Nov 2024 00:37:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29140, Retrieved Fri, 01 Nov 2024 00:37:28 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

285

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

F     [(Partial) Autocorrelation Function] [Paper: autocorrel...] [2008-12-05 10:20:24] [27f46dbe13ae2811dfd3a6f3c54d4d50]
F   PD    [(Partial) Autocorrelation Function] [Paper: autocorrel...] [2008-12-05 10:26:40] [822e74e765918799ae89051d24799c03] [Current]
F   PD      [(Partial) Autocorrelation Function] [Paper: werklooshe...] [2008-12-05 10:43:32] [74be16979710d4c4e7c6647856088456] 
F RMP         [Spectral Analysis] [paper: spectral a...] [2008-12-05 11:18:29] [74be16979710d4c4e7c6647856088456] 
-   P           [Spectral Analysis] [Paper werklooshei...] [2008-12-05 11:38:42] [74be16979710d4c4e7c6647856088456] 
-   P           [Spectral Analysis] [Paper spectral an...] [2008-12-05 11:38:42] [74be16979710d4c4e7c6647856088456] 
-                 [Spectral Analysis] [Paper spectral an...] [2008-12-05 11:44:28] [74be16979710d4c4e7c6647856088456] 
F                   [Spectral Analysis] [Paper: spectral a...] [2008-12-05 11:46:39] [74be16979710d4c4e7c6647856088456] 
F   P                 [Spectral Analysis] [Paper: spectral a...] [2008-12-05 11:50:13] [74be16979710d4c4e7c6647856088456] 
F RMP                   [Standard Deviation-Mean Plot] [Paper: SD mean-pl...] [2008-12-05 13:05:29] [74be16979710d4c4e7c6647856088456] 
-                         [Standard Deviation-Mean Plot] [paper stan dev me...] [2008-12-16 17:54:29] [5de5fb433ddcb9578e0fa830f795b7e9] 
-    D                      [Standard Deviation-Mean Plot] [paper sdmp werk 20] [2008-12-18 13:23:55] [5de5fb433ddcb9578e0fa830f795b7e9] 
-                       [Spectral Analysis] [paper spect D,d 1...] [2008-12-16 19:34:27] [cffae85c0a86f346d9df0bc892725b8f] 
-    D                    [Spectral Analysis] [paper spec D,d 1,...] [2008-12-18 14:27:52] [5de5fb433ddcb9578e0fa830f795b7e9] 
-             [(Partial) Autocorrelation Function] [paper autocor D,d...] [2008-12-16 19:30:19] [cffae85c0a86f346d9df0bc892725b8f] 
-    D          [(Partial) Autocorrelation Function] [paper auto D,d 1,...] [2008-12-18 14:18:44] [5de5fb433ddcb9578e0fa830f795b7e9] 
-    D      [(Partial) Autocorrelation Function] [paper autocor D,d...] [2008-12-16 19:08:07] [cffae85c0a86f346d9df0bc892725b8f] 
-    D        [(Partial) Autocorrelation Function] [paper auto D,d 0,...] [2008-12-18 14:09:39] [5de5fb433ddcb9578e0fa830f795b7e9] 
- RMPD      [Spectral Analysis] [paper autocor D,d...] [2008-12-16 19:12:18] [cffae85c0a86f346d9df0bc892725b8f] 
-    D        [Spectral Analysis] [paper spec D,d 0,...] [2008-12-18 14:13:25] [5de5fb433ddcb9578e0fa830f795b7e9] 

Feedback Forum

2008-12-16 06:38:52 [Nilay Erdogdu] [reply] 
we hebben hier duidelijk te maken met seizonaliteir, zie lag 12, 24 en 36. Deze moet dan ook gezuiverd worden. De student gaat nu seizonaliteir er uit halene, door D gelijk te stellen aan 1.

Post a new message

Dataseries X:

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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=29140&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=29140&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29140&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	0.246596	2.0779	0.02067
2	-0.152979	-1.289	0.100787
3	-0.297383	-2.5058	0.007256
4	-0.281184	-2.3693	0.010272
5	0.049078	0.4135	0.340229
6	0.161669	1.3622	0.088713
7	0.05701	0.4804	0.31622
8	-0.228838	-1.9282	0.028913
9	-0.245737	-2.0706	0.021016
10	-0.104413	-0.8798	0.190968
11	0.221814	1.869	0.032871
12	0.752424	6.34	0
13	0.21093	1.7773	0.039899
14	-0.12395	-1.0444	0.149917
15	-0.291231	-2.454	0.008292
16	-0.261725	-2.2053	0.015335
17	0.029643	0.2498	0.40174
18	0.100422	0.8462	0.20015
19	0.047384	0.3993	0.345449
20	-0.181655	-1.5307	0.06515
21	-0.186763	-1.5737	0.060002
22	-0.067904	-0.5722	0.284507
23	0.156746	1.3208	0.09541
24	0.573244	4.8302	4e-06
25	0.157771	1.3294	0.093986
26	-0.135741	-1.1438	0.12828
27	-0.250111	-2.1075	0.019304
28	-0.214625	-1.8085	0.037384
29	0.012702	0.107	0.457533
30	0.059747	0.5034	0.308108
31	0.025155	0.212	0.416372
32	-0.149559	-1.2602	0.10586
33	-0.130412	-1.0989	0.137768
34	-0.052103	-0.439	0.330987
35	0.104046	0.8767	0.191802
36	0.439552	3.7037	0.000208
37	0.099061	0.8347	0.203344
38	-0.130386	-1.0986	0.137817
39	-0.233635	-1.9686	0.026449
40	-0.164639	-1.3873	0.084849
41	0.005486	0.0462	0.481631
42	0.072288	0.6091	0.272197
43	0.033141	0.2793	0.390432
44	-0.113846	-0.9593	0.170336
45	-0.096802	-0.8157	0.208708
46	-0.05194	-0.4377	0.331484
47	0.043775	0.3689	0.356666
48	0.310744	2.6184	0.005396
49	0.066608	0.5612	0.288198
50	-0.115275	-0.9713	0.167343
51	-0.154889	-1.3051	0.098033
52	-0.117212	-0.9876	0.163339
53	-0.010141	-0.0855	0.466071
54	0.060437	0.5093	0.306077
55	0.006859	0.0578	0.477037
56	-0.053008	-0.4467	0.328243
57	-0.033769	-0.2845	0.388413
58	-0.036165	-0.3047	0.380729
59	0.005949	0.0501	0.480081
60	0.161193	1.3582	0.089344

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.246596 & 2.0779 & 0.02067 \tabularnewline
2 & -0.152979 & -1.289 & 0.100787 \tabularnewline
3 & -0.297383 & -2.5058 & 0.007256 \tabularnewline
4 & -0.281184 & -2.3693 & 0.010272 \tabularnewline
5 & 0.049078 & 0.4135 & 0.340229 \tabularnewline
6 & 0.161669 & 1.3622 & 0.088713 \tabularnewline
7 & 0.05701 & 0.4804 & 0.31622 \tabularnewline
8 & -0.228838 & -1.9282 & 0.028913 \tabularnewline
9 & -0.245737 & -2.0706 & 0.021016 \tabularnewline
10 & -0.104413 & -0.8798 & 0.190968 \tabularnewline
11 & 0.221814 & 1.869 & 0.032871 \tabularnewline
12 & 0.752424 & 6.34 & 0 \tabularnewline
13 & 0.21093 & 1.7773 & 0.039899 \tabularnewline
14 & -0.12395 & -1.0444 & 0.149917 \tabularnewline
15 & -0.291231 & -2.454 & 0.008292 \tabularnewline
16 & -0.261725 & -2.2053 & 0.015335 \tabularnewline
17 & 0.029643 & 0.2498 & 0.40174 \tabularnewline
18 & 0.100422 & 0.8462 & 0.20015 \tabularnewline
19 & 0.047384 & 0.3993 & 0.345449 \tabularnewline
20 & -0.181655 & -1.5307 & 0.06515 \tabularnewline
21 & -0.186763 & -1.5737 & 0.060002 \tabularnewline
22 & -0.067904 & -0.5722 & 0.284507 \tabularnewline
23 & 0.156746 & 1.3208 & 0.09541 \tabularnewline
24 & 0.573244 & 4.8302 & 4e-06 \tabularnewline
25 & 0.157771 & 1.3294 & 0.093986 \tabularnewline
26 & -0.135741 & -1.1438 & 0.12828 \tabularnewline
27 & -0.250111 & -2.1075 & 0.019304 \tabularnewline
28 & -0.214625 & -1.8085 & 0.037384 \tabularnewline
29 & 0.012702 & 0.107 & 0.457533 \tabularnewline
30 & 0.059747 & 0.5034 & 0.308108 \tabularnewline
31 & 0.025155 & 0.212 & 0.416372 \tabularnewline
32 & -0.149559 & -1.2602 & 0.10586 \tabularnewline
33 & -0.130412 & -1.0989 & 0.137768 \tabularnewline
34 & -0.052103 & -0.439 & 0.330987 \tabularnewline
35 & 0.104046 & 0.8767 & 0.191802 \tabularnewline
36 & 0.439552 & 3.7037 & 0.000208 \tabularnewline
37 & 0.099061 & 0.8347 & 0.203344 \tabularnewline
38 & -0.130386 & -1.0986 & 0.137817 \tabularnewline
39 & -0.233635 & -1.9686 & 0.026449 \tabularnewline
40 & -0.164639 & -1.3873 & 0.084849 \tabularnewline
41 & 0.005486 & 0.0462 & 0.481631 \tabularnewline
42 & 0.072288 & 0.6091 & 0.272197 \tabularnewline
43 & 0.033141 & 0.2793 & 0.390432 \tabularnewline
44 & -0.113846 & -0.9593 & 0.170336 \tabularnewline
45 & -0.096802 & -0.8157 & 0.208708 \tabularnewline
46 & -0.05194 & -0.4377 & 0.331484 \tabularnewline
47 & 0.043775 & 0.3689 & 0.356666 \tabularnewline
48 & 0.310744 & 2.6184 & 0.005396 \tabularnewline
49 & 0.066608 & 0.5612 & 0.288198 \tabularnewline
50 & -0.115275 & -0.9713 & 0.167343 \tabularnewline
51 & -0.154889 & -1.3051 & 0.098033 \tabularnewline
52 & -0.117212 & -0.9876 & 0.163339 \tabularnewline
53 & -0.010141 & -0.0855 & 0.466071 \tabularnewline
54 & 0.060437 & 0.5093 & 0.306077 \tabularnewline
55 & 0.006859 & 0.0578 & 0.477037 \tabularnewline
56 & -0.053008 & -0.4467 & 0.328243 \tabularnewline
57 & -0.033769 & -0.2845 & 0.388413 \tabularnewline
58 & -0.036165 & -0.3047 & 0.380729 \tabularnewline
59 & 0.005949 & 0.0501 & 0.480081 \tabularnewline
60 & 0.161193 & 1.3582 & 0.089344 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29140&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]0.246596[/C][C]2.0779[/C][C]0.02067[/C][/ROW]
[ROW][C]2[/C][C]-0.152979[/C][C]-1.289[/C][C]0.100787[/C][/ROW]
[ROW][C]3[/C][C]-0.297383[/C][C]-2.5058[/C][C]0.007256[/C][/ROW]
[ROW][C]4[/C][C]-0.281184[/C][C]-2.3693[/C][C]0.010272[/C][/ROW]
[ROW][C]5[/C][C]0.049078[/C][C]0.4135[/C][C]0.340229[/C][/ROW]
[ROW][C]6[/C][C]0.161669[/C][C]1.3622[/C][C]0.088713[/C][/ROW]
[ROW][C]7[/C][C]0.05701[/C][C]0.4804[/C][C]0.31622[/C][/ROW]
[ROW][C]8[/C][C]-0.228838[/C][C]-1.9282[/C][C]0.028913[/C][/ROW]
[ROW][C]9[/C][C]-0.245737[/C][C]-2.0706[/C][C]0.021016[/C][/ROW]
[ROW][C]10[/C][C]-0.104413[/C][C]-0.8798[/C][C]0.190968[/C][/ROW]
[ROW][C]11[/C][C]0.221814[/C][C]1.869[/C][C]0.032871[/C][/ROW]
[ROW][C]12[/C][C]0.752424[/C][C]6.34[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.21093[/C][C]1.7773[/C][C]0.039899[/C][/ROW]
[ROW][C]14[/C][C]-0.12395[/C][C]-1.0444[/C][C]0.149917[/C][/ROW]
[ROW][C]15[/C][C]-0.291231[/C][C]-2.454[/C][C]0.008292[/C][/ROW]
[ROW][C]16[/C][C]-0.261725[/C][C]-2.2053[/C][C]0.015335[/C][/ROW]
[ROW][C]17[/C][C]0.029643[/C][C]0.2498[/C][C]0.40174[/C][/ROW]
[ROW][C]18[/C][C]0.100422[/C][C]0.8462[/C][C]0.20015[/C][/ROW]
[ROW][C]19[/C][C]0.047384[/C][C]0.3993[/C][C]0.345449[/C][/ROW]
[ROW][C]20[/C][C]-0.181655[/C][C]-1.5307[/C][C]0.06515[/C][/ROW]
[ROW][C]21[/C][C]-0.186763[/C][C]-1.5737[/C][C]0.060002[/C][/ROW]
[ROW][C]22[/C][C]-0.067904[/C][C]-0.5722[/C][C]0.284507[/C][/ROW]
[ROW][C]23[/C][C]0.156746[/C][C]1.3208[/C][C]0.09541[/C][/ROW]
[ROW][C]24[/C][C]0.573244[/C][C]4.8302[/C][C]4e-06[/C][/ROW]
[ROW][C]25[/C][C]0.157771[/C][C]1.3294[/C][C]0.093986[/C][/ROW]
[ROW][C]26[/C][C]-0.135741[/C][C]-1.1438[/C][C]0.12828[/C][/ROW]
[ROW][C]27[/C][C]-0.250111[/C][C]-2.1075[/C][C]0.019304[/C][/ROW]
[ROW][C]28[/C][C]-0.214625[/C][C]-1.8085[/C][C]0.037384[/C][/ROW]
[ROW][C]29[/C][C]0.012702[/C][C]0.107[/C][C]0.457533[/C][/ROW]
[ROW][C]30[/C][C]0.059747[/C][C]0.5034[/C][C]0.308108[/C][/ROW]
[ROW][C]31[/C][C]0.025155[/C][C]0.212[/C][C]0.416372[/C][/ROW]
[ROW][C]32[/C][C]-0.149559[/C][C]-1.2602[/C][C]0.10586[/C][/ROW]
[ROW][C]33[/C][C]-0.130412[/C][C]-1.0989[/C][C]0.137768[/C][/ROW]
[ROW][C]34[/C][C]-0.052103[/C][C]-0.439[/C][C]0.330987[/C][/ROW]
[ROW][C]35[/C][C]0.104046[/C][C]0.8767[/C][C]0.191802[/C][/ROW]
[ROW][C]36[/C][C]0.439552[/C][C]3.7037[/C][C]0.000208[/C][/ROW]
[ROW][C]37[/C][C]0.099061[/C][C]0.8347[/C][C]0.203344[/C][/ROW]
[ROW][C]38[/C][C]-0.130386[/C][C]-1.0986[/C][C]0.137817[/C][/ROW]
[ROW][C]39[/C][C]-0.233635[/C][C]-1.9686[/C][C]0.026449[/C][/ROW]
[ROW][C]40[/C][C]-0.164639[/C][C]-1.3873[/C][C]0.084849[/C][/ROW]
[ROW][C]41[/C][C]0.005486[/C][C]0.0462[/C][C]0.481631[/C][/ROW]
[ROW][C]42[/C][C]0.072288[/C][C]0.6091[/C][C]0.272197[/C][/ROW]
[ROW][C]43[/C][C]0.033141[/C][C]0.2793[/C][C]0.390432[/C][/ROW]
[ROW][C]44[/C][C]-0.113846[/C][C]-0.9593[/C][C]0.170336[/C][/ROW]
[ROW][C]45[/C][C]-0.096802[/C][C]-0.8157[/C][C]0.208708[/C][/ROW]
[ROW][C]46[/C][C]-0.05194[/C][C]-0.4377[/C][C]0.331484[/C][/ROW]
[ROW][C]47[/C][C]0.043775[/C][C]0.3689[/C][C]0.356666[/C][/ROW]
[ROW][C]48[/C][C]0.310744[/C][C]2.6184[/C][C]0.005396[/C][/ROW]
[ROW][C]49[/C][C]0.066608[/C][C]0.5612[/C][C]0.288198[/C][/ROW]
[ROW][C]50[/C][C]-0.115275[/C][C]-0.9713[/C][C]0.167343[/C][/ROW]
[ROW][C]51[/C][C]-0.154889[/C][C]-1.3051[/C][C]0.098033[/C][/ROW]
[ROW][C]52[/C][C]-0.117212[/C][C]-0.9876[/C][C]0.163339[/C][/ROW]
[ROW][C]53[/C][C]-0.010141[/C][C]-0.0855[/C][C]0.466071[/C][/ROW]
[ROW][C]54[/C][C]0.060437[/C][C]0.5093[/C][C]0.306077[/C][/ROW]
[ROW][C]55[/C][C]0.006859[/C][C]0.0578[/C][C]0.477037[/C][/ROW]
[ROW][C]56[/C][C]-0.053008[/C][C]-0.4467[/C][C]0.328243[/C][/ROW]
[ROW][C]57[/C][C]-0.033769[/C][C]-0.2845[/C][C]0.388413[/C][/ROW]
[ROW][C]58[/C][C]-0.036165[/C][C]-0.3047[/C][C]0.380729[/C][/ROW]
[ROW][C]59[/C][C]0.005949[/C][C]0.0501[/C][C]0.480081[/C][/ROW]
[ROW][C]60[/C][C]0.161193[/C][C]1.3582[/C][C]0.089344[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29140&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29140&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	0.246596	2.0779	0.02067
2	-0.152979	-1.289	0.100787
3	-0.297383	-2.5058	0.007256
4	-0.281184	-2.3693	0.010272
5	0.049078	0.4135	0.340229
6	0.161669	1.3622	0.088713
7	0.05701	0.4804	0.31622
8	-0.228838	-1.9282	0.028913
9	-0.245737	-2.0706	0.021016
10	-0.104413	-0.8798	0.190968
11	0.221814	1.869	0.032871
12	0.752424	6.34	0
13	0.21093	1.7773	0.039899
14	-0.12395	-1.0444	0.149917
15	-0.291231	-2.454	0.008292
16	-0.261725	-2.2053	0.015335
17	0.029643	0.2498	0.40174
18	0.100422	0.8462	0.20015
19	0.047384	0.3993	0.345449
20	-0.181655	-1.5307	0.06515
21	-0.186763	-1.5737	0.060002
22	-0.067904	-0.5722	0.284507
23	0.156746	1.3208	0.09541
24	0.573244	4.8302	4e-06
25	0.157771	1.3294	0.093986
26	-0.135741	-1.1438	0.12828
27	-0.250111	-2.1075	0.019304
28	-0.214625	-1.8085	0.037384
29	0.012702	0.107	0.457533
30	0.059747	0.5034	0.308108
31	0.025155	0.212	0.416372
32	-0.149559	-1.2602	0.10586
33	-0.130412	-1.0989	0.137768
34	-0.052103	-0.439	0.330987
35	0.104046	0.8767	0.191802
36	0.439552	3.7037	0.000208
37	0.099061	0.8347	0.203344
38	-0.130386	-1.0986	0.137817
39	-0.233635	-1.9686	0.026449
40	-0.164639	-1.3873	0.084849
41	0.005486	0.0462	0.481631
42	0.072288	0.6091	0.272197
43	0.033141	0.2793	0.390432
44	-0.113846	-0.9593	0.170336
45	-0.096802	-0.8157	0.208708
46	-0.05194	-0.4377	0.331484
47	0.043775	0.3689	0.356666
48	0.310744	2.6184	0.005396
49	0.066608	0.5612	0.288198
50	-0.115275	-0.9713	0.167343
51	-0.154889	-1.3051	0.098033
52	-0.117212	-0.9876	0.163339
53	-0.010141	-0.0855	0.466071
54	0.060437	0.5093	0.306077
55	0.006859	0.0578	0.477037
56	-0.053008	-0.4467	0.328243
57	-0.033769	-0.2845	0.388413
58	-0.036165	-0.3047	0.380729
59	0.005949	0.0501	0.480081
60	0.161193	1.3582	0.089344

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.246596	2.0779	0.02067
2	-0.227631	-1.9181	0.029563
3	-0.218904	-1.8445	0.03464
4	-0.208386	-1.7559	0.04171
5	0.092892	0.7827	0.218198
6	-0.002128	-0.0179	0.492873
7	-0.081536	-0.687	0.247149
8	-0.284461	-2.3969	0.009584
9	-0.11512	-0.97	0.167666
10	-0.109864	-0.9257	0.178861
11	0.12799	1.0785	0.142239
12	0.660036	5.5616	0
13	-0.057855	-0.4875	0.313704
14	0.121824	1.0265	0.154069
15	0.015937	0.1343	0.446776
16	0.079864	0.6729	0.251582
17	-0.032625	-0.2749	0.392094
18	-0.104144	-0.8775	0.191578
19	-0.017892	-0.1508	0.440296
20	-0.034924	-0.2943	0.384703
21	0.003605	0.0304	0.487926
22	-0.044464	-0.3747	0.354516
23	-0.097156	-0.8187	0.207862
24	0.033205	0.2798	0.390225
25	-0.081472	-0.6865	0.247318
26	-0.089263	-0.7521	0.227225
27	0.017512	0.1476	0.441553
28	0.014065	0.1185	0.452996
29	-0.022333	-0.1882	0.425636
30	-0.025831	-0.2177	0.414161
31	-0.023581	-0.1987	0.421533
32	-0.002913	-0.0245	0.490244
33	-0.002643	-0.0223	0.491148
34	-0.06239	-0.5257	0.300364
35	-0.036098	-0.3042	0.380944
36	0.009142	0.077	0.469407
37	-0.058865	-0.496	0.310712
38	-0.027854	-0.2347	0.407558
39	-0.092917	-0.7829	0.218136
40	0.039268	0.3309	0.370856
41	-0.074005	-0.6236	0.267451
42	0.085632	0.7215	0.236471
43	-0.003974	-0.0335	0.486692
44	0.042827	0.3609	0.359635
45	5.9e-05	5e-04	0.499803
46	-0.013107	-0.1104	0.456185
47	-0.069543	-0.586	0.279874
48	-0.063141	-0.532	0.29818
49	-0.032601	-0.2747	0.392172
50	-0.051209	-0.4315	0.333709
51	0.093966	0.7918	0.215566
52	-0.04546	-0.3831	0.351413
53	-0.024576	-0.2071	0.41827
54	-0.034243	-0.2885	0.386889
55	-0.082757	-0.6973	0.24394
56	0.066668	0.5618	0.288026
57	-0.002735	-0.023	0.49084
58	0.037017	0.3119	0.378011
59	0.00714	0.0602	0.476098
60	-0.107302	-0.9041	0.18449

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.246596 & 2.0779 & 0.02067 \tabularnewline
2 & -0.227631 & -1.9181 & 0.029563 \tabularnewline
3 & -0.218904 & -1.8445 & 0.03464 \tabularnewline
4 & -0.208386 & -1.7559 & 0.04171 \tabularnewline
5 & 0.092892 & 0.7827 & 0.218198 \tabularnewline
6 & -0.002128 & -0.0179 & 0.492873 \tabularnewline
7 & -0.081536 & -0.687 & 0.247149 \tabularnewline
8 & -0.284461 & -2.3969 & 0.009584 \tabularnewline
9 & -0.11512 & -0.97 & 0.167666 \tabularnewline
10 & -0.109864 & -0.9257 & 0.178861 \tabularnewline
11 & 0.12799 & 1.0785 & 0.142239 \tabularnewline
12 & 0.660036 & 5.5616 & 0 \tabularnewline
13 & -0.057855 & -0.4875 & 0.313704 \tabularnewline
14 & 0.121824 & 1.0265 & 0.154069 \tabularnewline
15 & 0.015937 & 0.1343 & 0.446776 \tabularnewline
16 & 0.079864 & 0.6729 & 0.251582 \tabularnewline
17 & -0.032625 & -0.2749 & 0.392094 \tabularnewline
18 & -0.104144 & -0.8775 & 0.191578 \tabularnewline
19 & -0.017892 & -0.1508 & 0.440296 \tabularnewline
20 & -0.034924 & -0.2943 & 0.384703 \tabularnewline
21 & 0.003605 & 0.0304 & 0.487926 \tabularnewline
22 & -0.044464 & -0.3747 & 0.354516 \tabularnewline
23 & -0.097156 & -0.8187 & 0.207862 \tabularnewline
24 & 0.033205 & 0.2798 & 0.390225 \tabularnewline
25 & -0.081472 & -0.6865 & 0.247318 \tabularnewline
26 & -0.089263 & -0.7521 & 0.227225 \tabularnewline
27 & 0.017512 & 0.1476 & 0.441553 \tabularnewline
28 & 0.014065 & 0.1185 & 0.452996 \tabularnewline
29 & -0.022333 & -0.1882 & 0.425636 \tabularnewline
30 & -0.025831 & -0.2177 & 0.414161 \tabularnewline
31 & -0.023581 & -0.1987 & 0.421533 \tabularnewline
32 & -0.002913 & -0.0245 & 0.490244 \tabularnewline
33 & -0.002643 & -0.0223 & 0.491148 \tabularnewline
34 & -0.06239 & -0.5257 & 0.300364 \tabularnewline
35 & -0.036098 & -0.3042 & 0.380944 \tabularnewline
36 & 0.009142 & 0.077 & 0.469407 \tabularnewline
37 & -0.058865 & -0.496 & 0.310712 \tabularnewline
38 & -0.027854 & -0.2347 & 0.407558 \tabularnewline
39 & -0.092917 & -0.7829 & 0.218136 \tabularnewline
40 & 0.039268 & 0.3309 & 0.370856 \tabularnewline
41 & -0.074005 & -0.6236 & 0.267451 \tabularnewline
42 & 0.085632 & 0.7215 & 0.236471 \tabularnewline
43 & -0.003974 & -0.0335 & 0.486692 \tabularnewline
44 & 0.042827 & 0.3609 & 0.359635 \tabularnewline
45 & 5.9e-05 & 5e-04 & 0.499803 \tabularnewline
46 & -0.013107 & -0.1104 & 0.456185 \tabularnewline
47 & -0.069543 & -0.586 & 0.279874 \tabularnewline
48 & -0.063141 & -0.532 & 0.29818 \tabularnewline
49 & -0.032601 & -0.2747 & 0.392172 \tabularnewline
50 & -0.051209 & -0.4315 & 0.333709 \tabularnewline
51 & 0.093966 & 0.7918 & 0.215566 \tabularnewline
52 & -0.04546 & -0.3831 & 0.351413 \tabularnewline
53 & -0.024576 & -0.2071 & 0.41827 \tabularnewline
54 & -0.034243 & -0.2885 & 0.386889 \tabularnewline
55 & -0.082757 & -0.6973 & 0.24394 \tabularnewline
56 & 0.066668 & 0.5618 & 0.288026 \tabularnewline
57 & -0.002735 & -0.023 & 0.49084 \tabularnewline
58 & 0.037017 & 0.3119 & 0.378011 \tabularnewline
59 & 0.00714 & 0.0602 & 0.476098 \tabularnewline
60 & -0.107302 & -0.9041 & 0.18449 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29140&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]0.246596[/C][C]2.0779[/C][C]0.02067[/C][/ROW]
[ROW][C]2[/C][C]-0.227631[/C][C]-1.9181[/C][C]0.029563[/C][/ROW]
[ROW][C]3[/C][C]-0.218904[/C][C]-1.8445[/C][C]0.03464[/C][/ROW]
[ROW][C]4[/C][C]-0.208386[/C][C]-1.7559[/C][C]0.04171[/C][/ROW]
[ROW][C]5[/C][C]0.092892[/C][C]0.7827[/C][C]0.218198[/C][/ROW]
[ROW][C]6[/C][C]-0.002128[/C][C]-0.0179[/C][C]0.492873[/C][/ROW]
[ROW][C]7[/C][C]-0.081536[/C][C]-0.687[/C][C]0.247149[/C][/ROW]
[ROW][C]8[/C][C]-0.284461[/C][C]-2.3969[/C][C]0.009584[/C][/ROW]
[ROW][C]9[/C][C]-0.11512[/C][C]-0.97[/C][C]0.167666[/C][/ROW]
[ROW][C]10[/C][C]-0.109864[/C][C]-0.9257[/C][C]0.178861[/C][/ROW]
[ROW][C]11[/C][C]0.12799[/C][C]1.0785[/C][C]0.142239[/C][/ROW]
[ROW][C]12[/C][C]0.660036[/C][C]5.5616[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.057855[/C][C]-0.4875[/C][C]0.313704[/C][/ROW]
[ROW][C]14[/C][C]0.121824[/C][C]1.0265[/C][C]0.154069[/C][/ROW]
[ROW][C]15[/C][C]0.015937[/C][C]0.1343[/C][C]0.446776[/C][/ROW]
[ROW][C]16[/C][C]0.079864[/C][C]0.6729[/C][C]0.251582[/C][/ROW]
[ROW][C]17[/C][C]-0.032625[/C][C]-0.2749[/C][C]0.392094[/C][/ROW]
[ROW][C]18[/C][C]-0.104144[/C][C]-0.8775[/C][C]0.191578[/C][/ROW]
[ROW][C]19[/C][C]-0.017892[/C][C]-0.1508[/C][C]0.440296[/C][/ROW]
[ROW][C]20[/C][C]-0.034924[/C][C]-0.2943[/C][C]0.384703[/C][/ROW]
[ROW][C]21[/C][C]0.003605[/C][C]0.0304[/C][C]0.487926[/C][/ROW]
[ROW][C]22[/C][C]-0.044464[/C][C]-0.3747[/C][C]0.354516[/C][/ROW]
[ROW][C]23[/C][C]-0.097156[/C][C]-0.8187[/C][C]0.207862[/C][/ROW]
[ROW][C]24[/C][C]0.033205[/C][C]0.2798[/C][C]0.390225[/C][/ROW]
[ROW][C]25[/C][C]-0.081472[/C][C]-0.6865[/C][C]0.247318[/C][/ROW]
[ROW][C]26[/C][C]-0.089263[/C][C]-0.7521[/C][C]0.227225[/C][/ROW]
[ROW][C]27[/C][C]0.017512[/C][C]0.1476[/C][C]0.441553[/C][/ROW]
[ROW][C]28[/C][C]0.014065[/C][C]0.1185[/C][C]0.452996[/C][/ROW]
[ROW][C]29[/C][C]-0.022333[/C][C]-0.1882[/C][C]0.425636[/C][/ROW]
[ROW][C]30[/C][C]-0.025831[/C][C]-0.2177[/C][C]0.414161[/C][/ROW]
[ROW][C]31[/C][C]-0.023581[/C][C]-0.1987[/C][C]0.421533[/C][/ROW]
[ROW][C]32[/C][C]-0.002913[/C][C]-0.0245[/C][C]0.490244[/C][/ROW]
[ROW][C]33[/C][C]-0.002643[/C][C]-0.0223[/C][C]0.491148[/C][/ROW]
[ROW][C]34[/C][C]-0.06239[/C][C]-0.5257[/C][C]0.300364[/C][/ROW]
[ROW][C]35[/C][C]-0.036098[/C][C]-0.3042[/C][C]0.380944[/C][/ROW]
[ROW][C]36[/C][C]0.009142[/C][C]0.077[/C][C]0.469407[/C][/ROW]
[ROW][C]37[/C][C]-0.058865[/C][C]-0.496[/C][C]0.310712[/C][/ROW]
[ROW][C]38[/C][C]-0.027854[/C][C]-0.2347[/C][C]0.407558[/C][/ROW]
[ROW][C]39[/C][C]-0.092917[/C][C]-0.7829[/C][C]0.218136[/C][/ROW]
[ROW][C]40[/C][C]0.039268[/C][C]0.3309[/C][C]0.370856[/C][/ROW]
[ROW][C]41[/C][C]-0.074005[/C][C]-0.6236[/C][C]0.267451[/C][/ROW]
[ROW][C]42[/C][C]0.085632[/C][C]0.7215[/C][C]0.236471[/C][/ROW]
[ROW][C]43[/C][C]-0.003974[/C][C]-0.0335[/C][C]0.486692[/C][/ROW]
[ROW][C]44[/C][C]0.042827[/C][C]0.3609[/C][C]0.359635[/C][/ROW]
[ROW][C]45[/C][C]5.9e-05[/C][C]5e-04[/C][C]0.499803[/C][/ROW]
[ROW][C]46[/C][C]-0.013107[/C][C]-0.1104[/C][C]0.456185[/C][/ROW]
[ROW][C]47[/C][C]-0.069543[/C][C]-0.586[/C][C]0.279874[/C][/ROW]
[ROW][C]48[/C][C]-0.063141[/C][C]-0.532[/C][C]0.29818[/C][/ROW]
[ROW][C]49[/C][C]-0.032601[/C][C]-0.2747[/C][C]0.392172[/C][/ROW]
[ROW][C]50[/C][C]-0.051209[/C][C]-0.4315[/C][C]0.333709[/C][/ROW]
[ROW][C]51[/C][C]0.093966[/C][C]0.7918[/C][C]0.215566[/C][/ROW]
[ROW][C]52[/C][C]-0.04546[/C][C]-0.3831[/C][C]0.351413[/C][/ROW]
[ROW][C]53[/C][C]-0.024576[/C][C]-0.2071[/C][C]0.41827[/C][/ROW]
[ROW][C]54[/C][C]-0.034243[/C][C]-0.2885[/C][C]0.386889[/C][/ROW]
[ROW][C]55[/C][C]-0.082757[/C][C]-0.6973[/C][C]0.24394[/C][/ROW]
[ROW][C]56[/C][C]0.066668[/C][C]0.5618[/C][C]0.288026[/C][/ROW]
[ROW][C]57[/C][C]-0.002735[/C][C]-0.023[/C][C]0.49084[/C][/ROW]
[ROW][C]58[/C][C]0.037017[/C][C]0.3119[/C][C]0.378011[/C][/ROW]
[ROW][C]59[/C][C]0.00714[/C][C]0.0602[/C][C]0.476098[/C][/ROW]
[ROW][C]60[/C][C]-0.107302[/C][C]-0.9041[/C][C]0.18449[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29140&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29140&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	0.246596	2.0779	0.02067
2	-0.227631	-1.9181	0.029563
3	-0.218904	-1.8445	0.03464
4	-0.208386	-1.7559	0.04171
5	0.092892	0.7827	0.218198
6	-0.002128	-0.0179	0.492873
7	-0.081536	-0.687	0.247149
8	-0.284461	-2.3969	0.009584
9	-0.11512	-0.97	0.167666
10	-0.109864	-0.9257	0.178861
11	0.12799	1.0785	0.142239
12	0.660036	5.5616	0
13	-0.057855	-0.4875	0.313704
14	0.121824	1.0265	0.154069
15	0.015937	0.1343	0.446776
16	0.079864	0.6729	0.251582
17	-0.032625	-0.2749	0.392094
18	-0.104144	-0.8775	0.191578
19	-0.017892	-0.1508	0.440296
20	-0.034924	-0.2943	0.384703
21	0.003605	0.0304	0.487926
22	-0.044464	-0.3747	0.354516
23	-0.097156	-0.8187	0.207862
24	0.033205	0.2798	0.390225
25	-0.081472	-0.6865	0.247318
26	-0.089263	-0.7521	0.227225
27	0.017512	0.1476	0.441553
28	0.014065	0.1185	0.452996
29	-0.022333	-0.1882	0.425636
30	-0.025831	-0.2177	0.414161
31	-0.023581	-0.1987	0.421533
32	-0.002913	-0.0245	0.490244
33	-0.002643	-0.0223	0.491148
34	-0.06239	-0.5257	0.300364
35	-0.036098	-0.3042	0.380944
36	0.009142	0.077	0.469407
37	-0.058865	-0.496	0.310712
38	-0.027854	-0.2347	0.407558
39	-0.092917	-0.7829	0.218136
40	0.039268	0.3309	0.370856
41	-0.074005	-0.6236	0.267451
42	0.085632	0.7215	0.236471
43	-0.003974	-0.0335	0.486692
44	0.042827	0.3609	0.359635
45	5.9e-05	5e-04	0.499803
46	-0.013107	-0.1104	0.456185
47	-0.069543	-0.586	0.279874
48	-0.063141	-0.532	0.29818
49	-0.032601	-0.2747	0.392172
50	-0.051209	-0.4315	0.333709
51	0.093966	0.7918	0.215566
52	-0.04546	-0.3831	0.351413
53	-0.024576	-0.2071	0.41827
54	-0.034243	-0.2885	0.386889
55	-0.082757	-0.6973	0.24394
56	0.066668	0.5618	0.288026
57	-0.002735	-0.023	0.49084
58	0.037017	0.3119	0.378011
59	0.00714	0.0602	0.476098
60	-0.107302	-0.9041	0.18449

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

Paper: autocorrelation werkloosheid 31/01/2002 - 31/12/2007 met d = 1 en D ...

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code