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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 19 Dec 2008 04:02:29 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/19/t1229684631ywlnq0ppya2fb0j.htm/, Retrieved Wed, 15 May 2024 03:41:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35050, Retrieved Wed, 15 May 2024 03:41:03 +0000

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Estimated Impact

174

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

-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr nd cons] [2008-12-19 11:02:29] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]

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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=35050&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=35050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35050&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	0.33001	2.5562	0.006565
2	0.148336	1.149	0.127557
3	0.376387	2.9155	0.002494
4	0.002691	0.0208	0.491721
5	0.100792	0.7807	0.219016
6	0.391811	3.035	0.001777
7	0.032867	0.2546	0.399955
8	0.003655	0.0283	0.488754
9	0.249056	1.9292	0.029221
10	-0.069642	-0.5394	0.295788
11	0.166745	1.2916	0.100724
12	0.571045	4.4233	2.1e-05
13	0.069075	0.535	0.297297
14	0.024963	0.1934	0.423663
15	0.082012	0.6353	0.263837
16	-0.214242	-1.6595	0.051116
17	-0.035581	-0.2756	0.391896
18	0.145974	1.1307	0.131338
19	-0.123225	-0.9545	0.171832
20	-0.08051	-0.6236	0.267619
21	0.051239	0.3969	0.346427
22	-0.17691	-1.3703	0.087843
23	0.086237	0.668	0.253352
24	0.273091	2.1154	0.01928
25	-0.024153	-0.1871	0.426112
26	-0.008214	-0.0636	0.474741
27	-0.029534	-0.2288	0.409912
28	-0.228982	-1.7737	0.040595
29	-0.049685	-0.3849	0.350852
30	0.045664	0.3537	0.362397
31	-0.112276	-0.8697	0.193969
32	-0.050716	-0.3928	0.347914
33	-0.024609	-0.1906	0.424734
34	-0.14437	-1.1183	0.133951
35	0.059111	0.4579	0.324349
36	0.123955	0.9602	0.170416
37	-0.046579	-0.3608	0.359758
38	-0.071508	-0.5539	0.290853
39	-0.107917	-0.8359	0.203259
40	-0.22466	-1.7402	0.043475
41	-0.153081	-1.1858	0.120197
42	-0.10929	-0.8466	0.200302
43	-0.140185	-1.0859	0.140941
44	-0.113349	-0.878	0.191723
45	-0.133488	-1.034	0.152644
46	-0.154891	-1.1998	0.117471
47	-0.056998	-0.4415	0.330219
48	-0.025104	-0.1945	0.423239
49	-0.073924	-0.5726	0.284522
50	-0.117464	-0.9099	0.183264
51	-0.151414	-1.1728	0.122747
52	-0.17198	-1.3321	0.093925
53	-0.181309	-1.4044	0.082676
54	-0.134033	-1.0382	0.151667
55	-0.093597	-0.725	0.235635
56	-0.081195	-0.6289	0.26589
57	-0.073878	-0.5723	0.284643
58	-0.037213	-0.2882	0.387075
59	-0.009009	-0.0698	0.472299
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.33001 & 2.5562 & 0.006565 \tabularnewline
2 & 0.148336 & 1.149 & 0.127557 \tabularnewline
3 & 0.376387 & 2.9155 & 0.002494 \tabularnewline
4 & 0.002691 & 0.0208 & 0.491721 \tabularnewline
5 & 0.100792 & 0.7807 & 0.219016 \tabularnewline
6 & 0.391811 & 3.035 & 0.001777 \tabularnewline
7 & 0.032867 & 0.2546 & 0.399955 \tabularnewline
8 & 0.003655 & 0.0283 & 0.488754 \tabularnewline
9 & 0.249056 & 1.9292 & 0.029221 \tabularnewline
10 & -0.069642 & -0.5394 & 0.295788 \tabularnewline
11 & 0.166745 & 1.2916 & 0.100724 \tabularnewline
12 & 0.571045 & 4.4233 & 2.1e-05 \tabularnewline
13 & 0.069075 & 0.535 & 0.297297 \tabularnewline
14 & 0.024963 & 0.1934 & 0.423663 \tabularnewline
15 & 0.082012 & 0.6353 & 0.263837 \tabularnewline
16 & -0.214242 & -1.6595 & 0.051116 \tabularnewline
17 & -0.035581 & -0.2756 & 0.391896 \tabularnewline
18 & 0.145974 & 1.1307 & 0.131338 \tabularnewline
19 & -0.123225 & -0.9545 & 0.171832 \tabularnewline
20 & -0.08051 & -0.6236 & 0.267619 \tabularnewline
21 & 0.051239 & 0.3969 & 0.346427 \tabularnewline
22 & -0.17691 & -1.3703 & 0.087843 \tabularnewline
23 & 0.086237 & 0.668 & 0.253352 \tabularnewline
24 & 0.273091 & 2.1154 & 0.01928 \tabularnewline
25 & -0.024153 & -0.1871 & 0.426112 \tabularnewline
26 & -0.008214 & -0.0636 & 0.474741 \tabularnewline
27 & -0.029534 & -0.2288 & 0.409912 \tabularnewline
28 & -0.228982 & -1.7737 & 0.040595 \tabularnewline
29 & -0.049685 & -0.3849 & 0.350852 \tabularnewline
30 & 0.045664 & 0.3537 & 0.362397 \tabularnewline
31 & -0.112276 & -0.8697 & 0.193969 \tabularnewline
32 & -0.050716 & -0.3928 & 0.347914 \tabularnewline
33 & -0.024609 & -0.1906 & 0.424734 \tabularnewline
34 & -0.14437 & -1.1183 & 0.133951 \tabularnewline
35 & 0.059111 & 0.4579 & 0.324349 \tabularnewline
36 & 0.123955 & 0.9602 & 0.170416 \tabularnewline
37 & -0.046579 & -0.3608 & 0.359758 \tabularnewline
38 & -0.071508 & -0.5539 & 0.290853 \tabularnewline
39 & -0.107917 & -0.8359 & 0.203259 \tabularnewline
40 & -0.22466 & -1.7402 & 0.043475 \tabularnewline
41 & -0.153081 & -1.1858 & 0.120197 \tabularnewline
42 & -0.10929 & -0.8466 & 0.200302 \tabularnewline
43 & -0.140185 & -1.0859 & 0.140941 \tabularnewline
44 & -0.113349 & -0.878 & 0.191723 \tabularnewline
45 & -0.133488 & -1.034 & 0.152644 \tabularnewline
46 & -0.154891 & -1.1998 & 0.117471 \tabularnewline
47 & -0.056998 & -0.4415 & 0.330219 \tabularnewline
48 & -0.025104 & -0.1945 & 0.423239 \tabularnewline
49 & -0.073924 & -0.5726 & 0.284522 \tabularnewline
50 & -0.117464 & -0.9099 & 0.183264 \tabularnewline
51 & -0.151414 & -1.1728 & 0.122747 \tabularnewline
52 & -0.17198 & -1.3321 & 0.093925 \tabularnewline
53 & -0.181309 & -1.4044 & 0.082676 \tabularnewline
54 & -0.134033 & -1.0382 & 0.151667 \tabularnewline
55 & -0.093597 & -0.725 & 0.235635 \tabularnewline
56 & -0.081195 & -0.6289 & 0.26589 \tabularnewline
57 & -0.073878 & -0.5723 & 0.284643 \tabularnewline
58 & -0.037213 & -0.2882 & 0.387075 \tabularnewline
59 & -0.009009 & -0.0698 & 0.472299 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35050&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]0.33001[/C][C]2.5562[/C][C]0.006565[/C][/ROW]
[ROW][C]2[/C][C]0.148336[/C][C]1.149[/C][C]0.127557[/C][/ROW]
[ROW][C]3[/C][C]0.376387[/C][C]2.9155[/C][C]0.002494[/C][/ROW]
[ROW][C]4[/C][C]0.002691[/C][C]0.0208[/C][C]0.491721[/C][/ROW]
[ROW][C]5[/C][C]0.100792[/C][C]0.7807[/C][C]0.219016[/C][/ROW]
[ROW][C]6[/C][C]0.391811[/C][C]3.035[/C][C]0.001777[/C][/ROW]
[ROW][C]7[/C][C]0.032867[/C][C]0.2546[/C][C]0.399955[/C][/ROW]
[ROW][C]8[/C][C]0.003655[/C][C]0.0283[/C][C]0.488754[/C][/ROW]
[ROW][C]9[/C][C]0.249056[/C][C]1.9292[/C][C]0.029221[/C][/ROW]
[ROW][C]10[/C][C]-0.069642[/C][C]-0.5394[/C][C]0.295788[/C][/ROW]
[ROW][C]11[/C][C]0.166745[/C][C]1.2916[/C][C]0.100724[/C][/ROW]
[ROW][C]12[/C][C]0.571045[/C][C]4.4233[/C][C]2.1e-05[/C][/ROW]
[ROW][C]13[/C][C]0.069075[/C][C]0.535[/C][C]0.297297[/C][/ROW]
[ROW][C]14[/C][C]0.024963[/C][C]0.1934[/C][C]0.423663[/C][/ROW]
[ROW][C]15[/C][C]0.082012[/C][C]0.6353[/C][C]0.263837[/C][/ROW]
[ROW][C]16[/C][C]-0.214242[/C][C]-1.6595[/C][C]0.051116[/C][/ROW]
[ROW][C]17[/C][C]-0.035581[/C][C]-0.2756[/C][C]0.391896[/C][/ROW]
[ROW][C]18[/C][C]0.145974[/C][C]1.1307[/C][C]0.131338[/C][/ROW]
[ROW][C]19[/C][C]-0.123225[/C][C]-0.9545[/C][C]0.171832[/C][/ROW]
[ROW][C]20[/C][C]-0.08051[/C][C]-0.6236[/C][C]0.267619[/C][/ROW]
[ROW][C]21[/C][C]0.051239[/C][C]0.3969[/C][C]0.346427[/C][/ROW]
[ROW][C]22[/C][C]-0.17691[/C][C]-1.3703[/C][C]0.087843[/C][/ROW]
[ROW][C]23[/C][C]0.086237[/C][C]0.668[/C][C]0.253352[/C][/ROW]
[ROW][C]24[/C][C]0.273091[/C][C]2.1154[/C][C]0.01928[/C][/ROW]
[ROW][C]25[/C][C]-0.024153[/C][C]-0.1871[/C][C]0.426112[/C][/ROW]
[ROW][C]26[/C][C]-0.008214[/C][C]-0.0636[/C][C]0.474741[/C][/ROW]
[ROW][C]27[/C][C]-0.029534[/C][C]-0.2288[/C][C]0.409912[/C][/ROW]
[ROW][C]28[/C][C]-0.228982[/C][C]-1.7737[/C][C]0.040595[/C][/ROW]
[ROW][C]29[/C][C]-0.049685[/C][C]-0.3849[/C][C]0.350852[/C][/ROW]
[ROW][C]30[/C][C]0.045664[/C][C]0.3537[/C][C]0.362397[/C][/ROW]
[ROW][C]31[/C][C]-0.112276[/C][C]-0.8697[/C][C]0.193969[/C][/ROW]
[ROW][C]32[/C][C]-0.050716[/C][C]-0.3928[/C][C]0.347914[/C][/ROW]
[ROW][C]33[/C][C]-0.024609[/C][C]-0.1906[/C][C]0.424734[/C][/ROW]
[ROW][C]34[/C][C]-0.14437[/C][C]-1.1183[/C][C]0.133951[/C][/ROW]
[ROW][C]35[/C][C]0.059111[/C][C]0.4579[/C][C]0.324349[/C][/ROW]
[ROW][C]36[/C][C]0.123955[/C][C]0.9602[/C][C]0.170416[/C][/ROW]
[ROW][C]37[/C][C]-0.046579[/C][C]-0.3608[/C][C]0.359758[/C][/ROW]
[ROW][C]38[/C][C]-0.071508[/C][C]-0.5539[/C][C]0.290853[/C][/ROW]
[ROW][C]39[/C][C]-0.107917[/C][C]-0.8359[/C][C]0.203259[/C][/ROW]
[ROW][C]40[/C][C]-0.22466[/C][C]-1.7402[/C][C]0.043475[/C][/ROW]
[ROW][C]41[/C][C]-0.153081[/C][C]-1.1858[/C][C]0.120197[/C][/ROW]
[ROW][C]42[/C][C]-0.10929[/C][C]-0.8466[/C][C]0.200302[/C][/ROW]
[ROW][C]43[/C][C]-0.140185[/C][C]-1.0859[/C][C]0.140941[/C][/ROW]
[ROW][C]44[/C][C]-0.113349[/C][C]-0.878[/C][C]0.191723[/C][/ROW]
[ROW][C]45[/C][C]-0.133488[/C][C]-1.034[/C][C]0.152644[/C][/ROW]
[ROW][C]46[/C][C]-0.154891[/C][C]-1.1998[/C][C]0.117471[/C][/ROW]
[ROW][C]47[/C][C]-0.056998[/C][C]-0.4415[/C][C]0.330219[/C][/ROW]
[ROW][C]48[/C][C]-0.025104[/C][C]-0.1945[/C][C]0.423239[/C][/ROW]
[ROW][C]49[/C][C]-0.073924[/C][C]-0.5726[/C][C]0.284522[/C][/ROW]
[ROW][C]50[/C][C]-0.117464[/C][C]-0.9099[/C][C]0.183264[/C][/ROW]
[ROW][C]51[/C][C]-0.151414[/C][C]-1.1728[/C][C]0.122747[/C][/ROW]
[ROW][C]52[/C][C]-0.17198[/C][C]-1.3321[/C][C]0.093925[/C][/ROW]
[ROW][C]53[/C][C]-0.181309[/C][C]-1.4044[/C][C]0.082676[/C][/ROW]
[ROW][C]54[/C][C]-0.134033[/C][C]-1.0382[/C][C]0.151667[/C][/ROW]
[ROW][C]55[/C][C]-0.093597[/C][C]-0.725[/C][C]0.235635[/C][/ROW]
[ROW][C]56[/C][C]-0.081195[/C][C]-0.6289[/C][C]0.26589[/C][/ROW]
[ROW][C]57[/C][C]-0.073878[/C][C]-0.5723[/C][C]0.284643[/C][/ROW]
[ROW][C]58[/C][C]-0.037213[/C][C]-0.2882[/C][C]0.387075[/C][/ROW]
[ROW][C]59[/C][C]-0.009009[/C][C]-0.0698[/C][C]0.472299[/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=35050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35050&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	0.33001	2.5562	0.006565
2	0.148336	1.149	0.127557
3	0.376387	2.9155	0.002494
4	0.002691	0.0208	0.491721
5	0.100792	0.7807	0.219016
6	0.391811	3.035	0.001777
7	0.032867	0.2546	0.399955
8	0.003655	0.0283	0.488754
9	0.249056	1.9292	0.029221
10	-0.069642	-0.5394	0.295788
11	0.166745	1.2916	0.100724
12	0.571045	4.4233	2.1e-05
13	0.069075	0.535	0.297297
14	0.024963	0.1934	0.423663
15	0.082012	0.6353	0.263837
16	-0.214242	-1.6595	0.051116
17	-0.035581	-0.2756	0.391896
18	0.145974	1.1307	0.131338
19	-0.123225	-0.9545	0.171832
20	-0.08051	-0.6236	0.267619
21	0.051239	0.3969	0.346427
22	-0.17691	-1.3703	0.087843
23	0.086237	0.668	0.253352
24	0.273091	2.1154	0.01928
25	-0.024153	-0.1871	0.426112
26	-0.008214	-0.0636	0.474741
27	-0.029534	-0.2288	0.409912
28	-0.228982	-1.7737	0.040595
29	-0.049685	-0.3849	0.350852
30	0.045664	0.3537	0.362397
31	-0.112276	-0.8697	0.193969
32	-0.050716	-0.3928	0.347914
33	-0.024609	-0.1906	0.424734
34	-0.14437	-1.1183	0.133951
35	0.059111	0.4579	0.324349
36	0.123955	0.9602	0.170416
37	-0.046579	-0.3608	0.359758
38	-0.071508	-0.5539	0.290853
39	-0.107917	-0.8359	0.203259
40	-0.22466	-1.7402	0.043475
41	-0.153081	-1.1858	0.120197
42	-0.10929	-0.8466	0.200302
43	-0.140185	-1.0859	0.140941
44	-0.113349	-0.878	0.191723
45	-0.133488	-1.034	0.152644
46	-0.154891	-1.1998	0.117471
47	-0.056998	-0.4415	0.330219
48	-0.025104	-0.1945	0.423239
49	-0.073924	-0.5726	0.284522
50	-0.117464	-0.9099	0.183264
51	-0.151414	-1.1728	0.122747
52	-0.17198	-1.3321	0.093925
53	-0.181309	-1.4044	0.082676
54	-0.134033	-1.0382	0.151667
55	-0.093597	-0.725	0.235635
56	-0.081195	-0.6289	0.26589
57	-0.073878	-0.5723	0.284643
58	-0.037213	-0.2882	0.387075
59	-0.009009	-0.0698	0.472299
60	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.33001	2.5562	0.006565
2	0.044248	0.3427	0.366494
3	0.35419	2.7435	0.004002
4	-0.279005	-2.1612	0.017342
5	0.222142	1.7207	0.045229
6	0.227464	1.7619	0.041588
7	-0.13689	-1.0603	0.146619
8	-0.069742	-0.5402	0.295523
9	0.142075	1.1005	0.137754
10	-0.119076	-0.9224	0.180018
11	0.315258	2.442	0.008786
12	0.361209	2.7979	0.003452
13	-0.255995	-1.9829	0.025979
14	-0.161273	-1.2492	0.108219
15	-0.285841	-2.2141	0.015316
16	0.056014	0.4339	0.332965
17	-0.029908	-0.2317	0.408793
18	-0.037997	-0.2943	0.384764
19	0.034779	0.2694	0.394273
20	-0.049317	-0.382	0.351903
21	0.050949	0.3947	0.347249
22	0.070902	0.5492	0.292451
23	0.04523	0.3504	0.36365
24	-0.086044	-0.6665	0.253825
25	0.02202	0.1706	0.43257
26	-0.045873	-0.3553	0.361795
27	0.085404	0.6615	0.255402
28	-0.06004	-0.4651	0.321783
29	0.001319	0.0102	0.495942
30	-0.061318	-0.475	0.318267
31	0.043675	0.3383	0.368157
32	-0.011454	-0.0887	0.464798
33	-0.011167	-0.0865	0.465679
34	-0.007306	-0.0566	0.477529
35	-0.046808	-0.3626	0.359098
36	-0.012315	-0.0954	0.462162
37	-0.041336	-0.3202	0.374969
38	-0.112052	-0.868	0.19444
39	0.019874	0.1539	0.439086
40	-0.042176	-0.3267	0.372519
41	-0.12806	-0.9919	0.162603
42	-0.085785	-0.6645	0.254462
43	0.068216	0.5284	0.299586
44	0.011881	0.092	0.463489
45	-0.032438	-0.2513	0.401236
46	-0.038991	-0.302	0.381839
47	-0.024204	-0.1875	0.425957
48	-0.048696	-0.3772	0.353679
49	0.051868	0.4018	0.344643
50	0.032326	0.2504	0.401569
51	-0.042056	-0.3258	0.372867
52	-0.014419	-0.1117	0.45572
53	-0.044633	-0.3457	0.36538
54	0.055981	0.4336	0.333057
55	-0.037074	-0.2872	0.387483
56	0.035044	0.2714	0.393489
57	-0.010322	-0.08	0.46827
58	0.025533	0.1978	0.421945
59	0.048571	0.3762	0.354036
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.33001 & 2.5562 & 0.006565 \tabularnewline
2 & 0.044248 & 0.3427 & 0.366494 \tabularnewline
3 & 0.35419 & 2.7435 & 0.004002 \tabularnewline
4 & -0.279005 & -2.1612 & 0.017342 \tabularnewline
5 & 0.222142 & 1.7207 & 0.045229 \tabularnewline
6 & 0.227464 & 1.7619 & 0.041588 \tabularnewline
7 & -0.13689 & -1.0603 & 0.146619 \tabularnewline
8 & -0.069742 & -0.5402 & 0.295523 \tabularnewline
9 & 0.142075 & 1.1005 & 0.137754 \tabularnewline
10 & -0.119076 & -0.9224 & 0.180018 \tabularnewline
11 & 0.315258 & 2.442 & 0.008786 \tabularnewline
12 & 0.361209 & 2.7979 & 0.003452 \tabularnewline
13 & -0.255995 & -1.9829 & 0.025979 \tabularnewline
14 & -0.161273 & -1.2492 & 0.108219 \tabularnewline
15 & -0.285841 & -2.2141 & 0.015316 \tabularnewline
16 & 0.056014 & 0.4339 & 0.332965 \tabularnewline
17 & -0.029908 & -0.2317 & 0.408793 \tabularnewline
18 & -0.037997 & -0.2943 & 0.384764 \tabularnewline
19 & 0.034779 & 0.2694 & 0.394273 \tabularnewline
20 & -0.049317 & -0.382 & 0.351903 \tabularnewline
21 & 0.050949 & 0.3947 & 0.347249 \tabularnewline
22 & 0.070902 & 0.5492 & 0.292451 \tabularnewline
23 & 0.04523 & 0.3504 & 0.36365 \tabularnewline
24 & -0.086044 & -0.6665 & 0.253825 \tabularnewline
25 & 0.02202 & 0.1706 & 0.43257 \tabularnewline
26 & -0.045873 & -0.3553 & 0.361795 \tabularnewline
27 & 0.085404 & 0.6615 & 0.255402 \tabularnewline
28 & -0.06004 & -0.4651 & 0.321783 \tabularnewline
29 & 0.001319 & 0.0102 & 0.495942 \tabularnewline
30 & -0.061318 & -0.475 & 0.318267 \tabularnewline
31 & 0.043675 & 0.3383 & 0.368157 \tabularnewline
32 & -0.011454 & -0.0887 & 0.464798 \tabularnewline
33 & -0.011167 & -0.0865 & 0.465679 \tabularnewline
34 & -0.007306 & -0.0566 & 0.477529 \tabularnewline
35 & -0.046808 & -0.3626 & 0.359098 \tabularnewline
36 & -0.012315 & -0.0954 & 0.462162 \tabularnewline
37 & -0.041336 & -0.3202 & 0.374969 \tabularnewline
38 & -0.112052 & -0.868 & 0.19444 \tabularnewline
39 & 0.019874 & 0.1539 & 0.439086 \tabularnewline
40 & -0.042176 & -0.3267 & 0.372519 \tabularnewline
41 & -0.12806 & -0.9919 & 0.162603 \tabularnewline
42 & -0.085785 & -0.6645 & 0.254462 \tabularnewline
43 & 0.068216 & 0.5284 & 0.299586 \tabularnewline
44 & 0.011881 & 0.092 & 0.463489 \tabularnewline
45 & -0.032438 & -0.2513 & 0.401236 \tabularnewline
46 & -0.038991 & -0.302 & 0.381839 \tabularnewline
47 & -0.024204 & -0.1875 & 0.425957 \tabularnewline
48 & -0.048696 & -0.3772 & 0.353679 \tabularnewline
49 & 0.051868 & 0.4018 & 0.344643 \tabularnewline
50 & 0.032326 & 0.2504 & 0.401569 \tabularnewline
51 & -0.042056 & -0.3258 & 0.372867 \tabularnewline
52 & -0.014419 & -0.1117 & 0.45572 \tabularnewline
53 & -0.044633 & -0.3457 & 0.36538 \tabularnewline
54 & 0.055981 & 0.4336 & 0.333057 \tabularnewline
55 & -0.037074 & -0.2872 & 0.387483 \tabularnewline
56 & 0.035044 & 0.2714 & 0.393489 \tabularnewline
57 & -0.010322 & -0.08 & 0.46827 \tabularnewline
58 & 0.025533 & 0.1978 & 0.421945 \tabularnewline
59 & 0.048571 & 0.3762 & 0.354036 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35050&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]0.33001[/C][C]2.5562[/C][C]0.006565[/C][/ROW]
[ROW][C]2[/C][C]0.044248[/C][C]0.3427[/C][C]0.366494[/C][/ROW]
[ROW][C]3[/C][C]0.35419[/C][C]2.7435[/C][C]0.004002[/C][/ROW]
[ROW][C]4[/C][C]-0.279005[/C][C]-2.1612[/C][C]0.017342[/C][/ROW]
[ROW][C]5[/C][C]0.222142[/C][C]1.7207[/C][C]0.045229[/C][/ROW]
[ROW][C]6[/C][C]0.227464[/C][C]1.7619[/C][C]0.041588[/C][/ROW]
[ROW][C]7[/C][C]-0.13689[/C][C]-1.0603[/C][C]0.146619[/C][/ROW]
[ROW][C]8[/C][C]-0.069742[/C][C]-0.5402[/C][C]0.295523[/C][/ROW]
[ROW][C]9[/C][C]0.142075[/C][C]1.1005[/C][C]0.137754[/C][/ROW]
[ROW][C]10[/C][C]-0.119076[/C][C]-0.9224[/C][C]0.180018[/C][/ROW]
[ROW][C]11[/C][C]0.315258[/C][C]2.442[/C][C]0.008786[/C][/ROW]
[ROW][C]12[/C][C]0.361209[/C][C]2.7979[/C][C]0.003452[/C][/ROW]
[ROW][C]13[/C][C]-0.255995[/C][C]-1.9829[/C][C]0.025979[/C][/ROW]
[ROW][C]14[/C][C]-0.161273[/C][C]-1.2492[/C][C]0.108219[/C][/ROW]
[ROW][C]15[/C][C]-0.285841[/C][C]-2.2141[/C][C]0.015316[/C][/ROW]
[ROW][C]16[/C][C]0.056014[/C][C]0.4339[/C][C]0.332965[/C][/ROW]
[ROW][C]17[/C][C]-0.029908[/C][C]-0.2317[/C][C]0.408793[/C][/ROW]
[ROW][C]18[/C][C]-0.037997[/C][C]-0.2943[/C][C]0.384764[/C][/ROW]
[ROW][C]19[/C][C]0.034779[/C][C]0.2694[/C][C]0.394273[/C][/ROW]
[ROW][C]20[/C][C]-0.049317[/C][C]-0.382[/C][C]0.351903[/C][/ROW]
[ROW][C]21[/C][C]0.050949[/C][C]0.3947[/C][C]0.347249[/C][/ROW]
[ROW][C]22[/C][C]0.070902[/C][C]0.5492[/C][C]0.292451[/C][/ROW]
[ROW][C]23[/C][C]0.04523[/C][C]0.3504[/C][C]0.36365[/C][/ROW]
[ROW][C]24[/C][C]-0.086044[/C][C]-0.6665[/C][C]0.253825[/C][/ROW]
[ROW][C]25[/C][C]0.02202[/C][C]0.1706[/C][C]0.43257[/C][/ROW]
[ROW][C]26[/C][C]-0.045873[/C][C]-0.3553[/C][C]0.361795[/C][/ROW]
[ROW][C]27[/C][C]0.085404[/C][C]0.6615[/C][C]0.255402[/C][/ROW]
[ROW][C]28[/C][C]-0.06004[/C][C]-0.4651[/C][C]0.321783[/C][/ROW]
[ROW][C]29[/C][C]0.001319[/C][C]0.0102[/C][C]0.495942[/C][/ROW]
[ROW][C]30[/C][C]-0.061318[/C][C]-0.475[/C][C]0.318267[/C][/ROW]
[ROW][C]31[/C][C]0.043675[/C][C]0.3383[/C][C]0.368157[/C][/ROW]
[ROW][C]32[/C][C]-0.011454[/C][C]-0.0887[/C][C]0.464798[/C][/ROW]
[ROW][C]33[/C][C]-0.011167[/C][C]-0.0865[/C][C]0.465679[/C][/ROW]
[ROW][C]34[/C][C]-0.007306[/C][C]-0.0566[/C][C]0.477529[/C][/ROW]
[ROW][C]35[/C][C]-0.046808[/C][C]-0.3626[/C][C]0.359098[/C][/ROW]
[ROW][C]36[/C][C]-0.012315[/C][C]-0.0954[/C][C]0.462162[/C][/ROW]
[ROW][C]37[/C][C]-0.041336[/C][C]-0.3202[/C][C]0.374969[/C][/ROW]
[ROW][C]38[/C][C]-0.112052[/C][C]-0.868[/C][C]0.19444[/C][/ROW]
[ROW][C]39[/C][C]0.019874[/C][C]0.1539[/C][C]0.439086[/C][/ROW]
[ROW][C]40[/C][C]-0.042176[/C][C]-0.3267[/C][C]0.372519[/C][/ROW]
[ROW][C]41[/C][C]-0.12806[/C][C]-0.9919[/C][C]0.162603[/C][/ROW]
[ROW][C]42[/C][C]-0.085785[/C][C]-0.6645[/C][C]0.254462[/C][/ROW]
[ROW][C]43[/C][C]0.068216[/C][C]0.5284[/C][C]0.299586[/C][/ROW]
[ROW][C]44[/C][C]0.011881[/C][C]0.092[/C][C]0.463489[/C][/ROW]
[ROW][C]45[/C][C]-0.032438[/C][C]-0.2513[/C][C]0.401236[/C][/ROW]
[ROW][C]46[/C][C]-0.038991[/C][C]-0.302[/C][C]0.381839[/C][/ROW]
[ROW][C]47[/C][C]-0.024204[/C][C]-0.1875[/C][C]0.425957[/C][/ROW]
[ROW][C]48[/C][C]-0.048696[/C][C]-0.3772[/C][C]0.353679[/C][/ROW]
[ROW][C]49[/C][C]0.051868[/C][C]0.4018[/C][C]0.344643[/C][/ROW]
[ROW][C]50[/C][C]0.032326[/C][C]0.2504[/C][C]0.401569[/C][/ROW]
[ROW][C]51[/C][C]-0.042056[/C][C]-0.3258[/C][C]0.372867[/C][/ROW]
[ROW][C]52[/C][C]-0.014419[/C][C]-0.1117[/C][C]0.45572[/C][/ROW]
[ROW][C]53[/C][C]-0.044633[/C][C]-0.3457[/C][C]0.36538[/C][/ROW]
[ROW][C]54[/C][C]0.055981[/C][C]0.4336[/C][C]0.333057[/C][/ROW]
[ROW][C]55[/C][C]-0.037074[/C][C]-0.2872[/C][C]0.387483[/C][/ROW]
[ROW][C]56[/C][C]0.035044[/C][C]0.2714[/C][C]0.393489[/C][/ROW]
[ROW][C]57[/C][C]-0.010322[/C][C]-0.08[/C][C]0.46827[/C][/ROW]
[ROW][C]58[/C][C]0.025533[/C][C]0.1978[/C][C]0.421945[/C][/ROW]
[ROW][C]59[/C][C]0.048571[/C][C]0.3762[/C][C]0.354036[/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=35050&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35050&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	0.33001	2.5562	0.006565
2	0.044248	0.3427	0.366494
3	0.35419	2.7435	0.004002
4	-0.279005	-2.1612	0.017342
5	0.222142	1.7207	0.045229
6	0.227464	1.7619	0.041588
7	-0.13689	-1.0603	0.146619
8	-0.069742	-0.5402	0.295523
9	0.142075	1.1005	0.137754
10	-0.119076	-0.9224	0.180018
11	0.315258	2.442	0.008786
12	0.361209	2.7979	0.003452
13	-0.255995	-1.9829	0.025979
14	-0.161273	-1.2492	0.108219
15	-0.285841	-2.2141	0.015316
16	0.056014	0.4339	0.332965
17	-0.029908	-0.2317	0.408793
18	-0.037997	-0.2943	0.384764
19	0.034779	0.2694	0.394273
20	-0.049317	-0.382	0.351903
21	0.050949	0.3947	0.347249
22	0.070902	0.5492	0.292451
23	0.04523	0.3504	0.36365
24	-0.086044	-0.6665	0.253825
25	0.02202	0.1706	0.43257
26	-0.045873	-0.3553	0.361795
27	0.085404	0.6615	0.255402
28	-0.06004	-0.4651	0.321783
29	0.001319	0.0102	0.495942
30	-0.061318	-0.475	0.318267
31	0.043675	0.3383	0.368157
32	-0.011454	-0.0887	0.464798
33	-0.011167	-0.0865	0.465679
34	-0.007306	-0.0566	0.477529
35	-0.046808	-0.3626	0.359098
36	-0.012315	-0.0954	0.462162
37	-0.041336	-0.3202	0.374969
38	-0.112052	-0.868	0.19444
39	0.019874	0.1539	0.439086
40	-0.042176	-0.3267	0.372519
41	-0.12806	-0.9919	0.162603
42	-0.085785	-0.6645	0.254462
43	0.068216	0.5284	0.299586
44	0.011881	0.092	0.463489
45	-0.032438	-0.2513	0.401236
46	-0.038991	-0.302	0.381839
47	-0.024204	-0.1875	0.425957
48	-0.048696	-0.3772	0.353679
49	0.051868	0.4018	0.344643
50	0.032326	0.2504	0.401569
51	-0.042056	-0.3258	0.372867
52	-0.014419	-0.1117	0.45572
53	-0.044633	-0.3457	0.36538
54	0.055981	0.4336	0.333057
55	-0.037074	-0.2872	0.387483
56	0.035044	0.2714	0.393489
57	-0.010322	-0.08	0.46827
58	0.025533	0.1978	0.421945
59	0.048571	0.3762	0.354036
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 = 2.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 60 ; par2 = 2.0 ; par3 = 0 ; 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

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code