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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 13 Dec 2007 13:48:28 -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/2007/Dec/13/t1197578016b0eg88j1p0vqzml.htm/, Retrieved Sun, 05 May 2024 09:38:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3719, Retrieved Sun, 05 May 2024 09:38:22 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Lise Swinnen Diesel

Estimated Impact

175

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

-       [(Partial) Autocorrelation Function] [paper diesel (vrm...] [2007-12-13 20:48:28] [a526d213baffe7453818dd375c9a7100] [Current]

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Dataseries X:

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Histogram

Boxplots

0,76
0,77
0,76
0,77
0,78
0,79
0,78
0,76
0,78
0,76
0,74
0,73
0,72
0,71
0,73
0,75
0,75
0,72
0,72
0,72
0,74
0,78
0,74
0,74
0,75
0,78
0,81
0,75
0,7
0,71
0,71
0,73
0,74
0,74
0,75
0,74
0,74
0,73
0,76
0,8
0,83
0,81
0,83
0,88
0,89
0,93
0,91
0,9
0,86
0,88
0,93
0,98
0,97
1,03
1,06
1,06
1,08
1,09
1,04
1

Summary of compuational 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 compuational 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=3719&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3719&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3719&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 compuational 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
0	1	7.746	0
1	0.941267	7.291	0
2	0.861688	6.6746	0
3	0.780267	6.0439	0
4	0.711097	5.5081	0
5	0.649118	5.028	2e-06
6	0.577824	4.4758	1.7e-05
7	0.504314	3.9064	0.00012
8	0.443906	3.4385	0.000535
9	0.389802	3.0194	0.001858
10	0.351259	2.7208	0.004254
11	0.313805	2.4307	0.009037
12	0.265571	2.0571	0.022016
13	0.208459	1.6147	0.05581
14	0.143758	1.1135	0.134958
15	0.076555	0.593	0.277708
16	0.024226	0.1877	0.425889
17	-0.016381	-0.1269	0.550271
18	-0.04895	-0.3792	0.647049
19	-0.084709	-0.6562	0.742883
20	-0.132074	-1.023	0.844803
21	-0.17255	-1.3366	0.906795
22	-0.196575	-1.5227	0.933452
23	-0.209165	-1.6202	0.944781
24	-0.214003	-1.6577	0.948697
25	-0.223936	-1.7346	0.956027
26	-0.238182	-1.845	0.965009
27	-0.24093	-1.8662	0.966551
28	-0.239575	-1.8557	0.965798
29	-0.237337	-1.8384	0.964523
30	-0.227007	-1.7584	0.95811
31	-0.225531	-1.747	0.957119
32	-0.225675	-1.7481	0.957217
33	-0.239486	-1.8551	0.965748
34	-0.262481	-2.0332	0.976767
35	-0.269901	-2.0906	0.979598
36	-0.274804	-2.1286	0.9813
37	-0.279013	-2.1612	0.98266
38	-0.284995	-2.2076	0.984445
39	-0.297329	-2.3031	0.987622
40	-0.29547	-2.2887	0.987183
41	-0.281388	-2.1796	0.983389
42	-0.269308	-2.086	0.979383
43	-0.258067	-1.999	0.974927
44	-0.247704	-1.9187	0.970109
45	-0.229239	-1.7757	0.959572
46	-0.201344	-1.5596	0.937943
47	-0.170285	-1.319	0.903913

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.941267 & 7.291 & 0 \tabularnewline
2 & 0.861688 & 6.6746 & 0 \tabularnewline
3 & 0.780267 & 6.0439 & 0 \tabularnewline
4 & 0.711097 & 5.5081 & 0 \tabularnewline
5 & 0.649118 & 5.028 & 2e-06 \tabularnewline
6 & 0.577824 & 4.4758 & 1.7e-05 \tabularnewline
7 & 0.504314 & 3.9064 & 0.00012 \tabularnewline
8 & 0.443906 & 3.4385 & 0.000535 \tabularnewline
9 & 0.389802 & 3.0194 & 0.001858 \tabularnewline
10 & 0.351259 & 2.7208 & 0.004254 \tabularnewline
11 & 0.313805 & 2.4307 & 0.009037 \tabularnewline
12 & 0.265571 & 2.0571 & 0.022016 \tabularnewline
13 & 0.208459 & 1.6147 & 0.05581 \tabularnewline
14 & 0.143758 & 1.1135 & 0.134958 \tabularnewline
15 & 0.076555 & 0.593 & 0.277708 \tabularnewline
16 & 0.024226 & 0.1877 & 0.425889 \tabularnewline
17 & -0.016381 & -0.1269 & 0.550271 \tabularnewline
18 & -0.04895 & -0.3792 & 0.647049 \tabularnewline
19 & -0.084709 & -0.6562 & 0.742883 \tabularnewline
20 & -0.132074 & -1.023 & 0.844803 \tabularnewline
21 & -0.17255 & -1.3366 & 0.906795 \tabularnewline
22 & -0.196575 & -1.5227 & 0.933452 \tabularnewline
23 & -0.209165 & -1.6202 & 0.944781 \tabularnewline
24 & -0.214003 & -1.6577 & 0.948697 \tabularnewline
25 & -0.223936 & -1.7346 & 0.956027 \tabularnewline
26 & -0.238182 & -1.845 & 0.965009 \tabularnewline
27 & -0.24093 & -1.8662 & 0.966551 \tabularnewline
28 & -0.239575 & -1.8557 & 0.965798 \tabularnewline
29 & -0.237337 & -1.8384 & 0.964523 \tabularnewline
30 & -0.227007 & -1.7584 & 0.95811 \tabularnewline
31 & -0.225531 & -1.747 & 0.957119 \tabularnewline
32 & -0.225675 & -1.7481 & 0.957217 \tabularnewline
33 & -0.239486 & -1.8551 & 0.965748 \tabularnewline
34 & -0.262481 & -2.0332 & 0.976767 \tabularnewline
35 & -0.269901 & -2.0906 & 0.979598 \tabularnewline
36 & -0.274804 & -2.1286 & 0.9813 \tabularnewline
37 & -0.279013 & -2.1612 & 0.98266 \tabularnewline
38 & -0.284995 & -2.2076 & 0.984445 \tabularnewline
39 & -0.297329 & -2.3031 & 0.987622 \tabularnewline
40 & -0.29547 & -2.2887 & 0.987183 \tabularnewline
41 & -0.281388 & -2.1796 & 0.983389 \tabularnewline
42 & -0.269308 & -2.086 & 0.979383 \tabularnewline
43 & -0.258067 & -1.999 & 0.974927 \tabularnewline
44 & -0.247704 & -1.9187 & 0.970109 \tabularnewline
45 & -0.229239 & -1.7757 & 0.959572 \tabularnewline
46 & -0.201344 & -1.5596 & 0.937943 \tabularnewline
47 & -0.170285 & -1.319 & 0.903913 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3719&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.941267[/C][C]7.291[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.861688[/C][C]6.6746[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.780267[/C][C]6.0439[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.711097[/C][C]5.5081[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.649118[/C][C]5.028[/C][C]2e-06[/C][/ROW]
[ROW][C]6[/C][C]0.577824[/C][C]4.4758[/C][C]1.7e-05[/C][/ROW]
[ROW][C]7[/C][C]0.504314[/C][C]3.9064[/C][C]0.00012[/C][/ROW]
[ROW][C]8[/C][C]0.443906[/C][C]3.4385[/C][C]0.000535[/C][/ROW]
[ROW][C]9[/C][C]0.389802[/C][C]3.0194[/C][C]0.001858[/C][/ROW]
[ROW][C]10[/C][C]0.351259[/C][C]2.7208[/C][C]0.004254[/C][/ROW]
[ROW][C]11[/C][C]0.313805[/C][C]2.4307[/C][C]0.009037[/C][/ROW]
[ROW][C]12[/C][C]0.265571[/C][C]2.0571[/C][C]0.022016[/C][/ROW]
[ROW][C]13[/C][C]0.208459[/C][C]1.6147[/C][C]0.05581[/C][/ROW]
[ROW][C]14[/C][C]0.143758[/C][C]1.1135[/C][C]0.134958[/C][/ROW]
[ROW][C]15[/C][C]0.076555[/C][C]0.593[/C][C]0.277708[/C][/ROW]
[ROW][C]16[/C][C]0.024226[/C][C]0.1877[/C][C]0.425889[/C][/ROW]
[ROW][C]17[/C][C]-0.016381[/C][C]-0.1269[/C][C]0.550271[/C][/ROW]
[ROW][C]18[/C][C]-0.04895[/C][C]-0.3792[/C][C]0.647049[/C][/ROW]
[ROW][C]19[/C][C]-0.084709[/C][C]-0.6562[/C][C]0.742883[/C][/ROW]
[ROW][C]20[/C][C]-0.132074[/C][C]-1.023[/C][C]0.844803[/C][/ROW]
[ROW][C]21[/C][C]-0.17255[/C][C]-1.3366[/C][C]0.906795[/C][/ROW]
[ROW][C]22[/C][C]-0.196575[/C][C]-1.5227[/C][C]0.933452[/C][/ROW]
[ROW][C]23[/C][C]-0.209165[/C][C]-1.6202[/C][C]0.944781[/C][/ROW]
[ROW][C]24[/C][C]-0.214003[/C][C]-1.6577[/C][C]0.948697[/C][/ROW]
[ROW][C]25[/C][C]-0.223936[/C][C]-1.7346[/C][C]0.956027[/C][/ROW]
[ROW][C]26[/C][C]-0.238182[/C][C]-1.845[/C][C]0.965009[/C][/ROW]
[ROW][C]27[/C][C]-0.24093[/C][C]-1.8662[/C][C]0.966551[/C][/ROW]
[ROW][C]28[/C][C]-0.239575[/C][C]-1.8557[/C][C]0.965798[/C][/ROW]
[ROW][C]29[/C][C]-0.237337[/C][C]-1.8384[/C][C]0.964523[/C][/ROW]
[ROW][C]30[/C][C]-0.227007[/C][C]-1.7584[/C][C]0.95811[/C][/ROW]
[ROW][C]31[/C][C]-0.225531[/C][C]-1.747[/C][C]0.957119[/C][/ROW]
[ROW][C]32[/C][C]-0.225675[/C][C]-1.7481[/C][C]0.957217[/C][/ROW]
[ROW][C]33[/C][C]-0.239486[/C][C]-1.8551[/C][C]0.965748[/C][/ROW]
[ROW][C]34[/C][C]-0.262481[/C][C]-2.0332[/C][C]0.976767[/C][/ROW]
[ROW][C]35[/C][C]-0.269901[/C][C]-2.0906[/C][C]0.979598[/C][/ROW]
[ROW][C]36[/C][C]-0.274804[/C][C]-2.1286[/C][C]0.9813[/C][/ROW]
[ROW][C]37[/C][C]-0.279013[/C][C]-2.1612[/C][C]0.98266[/C][/ROW]
[ROW][C]38[/C][C]-0.284995[/C][C]-2.2076[/C][C]0.984445[/C][/ROW]
[ROW][C]39[/C][C]-0.297329[/C][C]-2.3031[/C][C]0.987622[/C][/ROW]
[ROW][C]40[/C][C]-0.29547[/C][C]-2.2887[/C][C]0.987183[/C][/ROW]
[ROW][C]41[/C][C]-0.281388[/C][C]-2.1796[/C][C]0.983389[/C][/ROW]
[ROW][C]42[/C][C]-0.269308[/C][C]-2.086[/C][C]0.979383[/C][/ROW]
[ROW][C]43[/C][C]-0.258067[/C][C]-1.999[/C][C]0.974927[/C][/ROW]
[ROW][C]44[/C][C]-0.247704[/C][C]-1.9187[/C][C]0.970109[/C][/ROW]
[ROW][C]45[/C][C]-0.229239[/C][C]-1.7757[/C][C]0.959572[/C][/ROW]
[ROW][C]46[/C][C]-0.201344[/C][C]-1.5596[/C][C]0.937943[/C][/ROW]
[ROW][C]47[/C][C]-0.170285[/C][C]-1.319[/C][C]0.903913[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3719&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3719&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
0	1	7.746	0
1	0.941267	7.291	0
2	0.861688	6.6746	0
3	0.780267	6.0439	0
4	0.711097	5.5081	0
5	0.649118	5.028	2e-06
6	0.577824	4.4758	1.7e-05
7	0.504314	3.9064	0.00012
8	0.443906	3.4385	0.000535
9	0.389802	3.0194	0.001858
10	0.351259	2.7208	0.004254
11	0.313805	2.4307	0.009037
12	0.265571	2.0571	0.022016
13	0.208459	1.6147	0.05581
14	0.143758	1.1135	0.134958
15	0.076555	0.593	0.277708
16	0.024226	0.1877	0.425889
17	-0.016381	-0.1269	0.550271
18	-0.04895	-0.3792	0.647049
19	-0.084709	-0.6562	0.742883
20	-0.132074	-1.023	0.844803
21	-0.17255	-1.3366	0.906795
22	-0.196575	-1.5227	0.933452
23	-0.209165	-1.6202	0.944781
24	-0.214003	-1.6577	0.948697
25	-0.223936	-1.7346	0.956027
26	-0.238182	-1.845	0.965009
27	-0.24093	-1.8662	0.966551
28	-0.239575	-1.8557	0.965798
29	-0.237337	-1.8384	0.964523
30	-0.227007	-1.7584	0.95811
31	-0.225531	-1.747	0.957119
32	-0.225675	-1.7481	0.957217
33	-0.239486	-1.8551	0.965748
34	-0.262481	-2.0332	0.976767
35	-0.269901	-2.0906	0.979598
36	-0.274804	-2.1286	0.9813
37	-0.279013	-2.1612	0.98266
38	-0.284995	-2.2076	0.984445
39	-0.297329	-2.3031	0.987622
40	-0.29547	-2.2887	0.987183
41	-0.281388	-2.1796	0.983389
42	-0.269308	-2.086	0.979383
43	-0.258067	-1.999	0.974927
44	-0.247704	-1.9187	0.970109
45	-0.229239	-1.7757	0.959572
46	-0.201344	-1.5596	0.937943
47	-0.170285	-1.319	0.903913

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.941267	7.291	0
1	-0.213095	-1.6506	0.94798
2	-0.0282	-0.2184	0.586084
3	0.066752	0.5171	0.303509
4	-0.012791	-0.0991	0.539297
5	-0.142481	-1.1037	0.862925
6	-0.023711	-0.1837	0.572553
7	0.089085	0.69	0.246412
8	-0.044934	-0.3481	0.635492
9	0.077641	0.6014	0.274918
10	-0.03457	-0.2678	0.605106
11	-0.12461	-0.9652	0.830847
12	-0.088157	-0.6829	0.751339
13	-0.083597	-0.6475	0.740125
14	-0.086135	-0.6672	0.7464
15	0.075797	0.5871	0.279662
16	0.05171	0.4005	0.34509
17	-0.003386	-0.0262	0.510419
18	-0.071755	-0.5558	0.709798
19	-0.133516	-1.0342	0.847406
20	0.001291	0.01	0.496027
21	0.051303	0.3974	0.346246
22	0.017467	0.1353	0.446413
23	0.043491	0.3369	0.36869
24	-0.006003	-0.0465	0.518466
25	-0.042147	-0.3265	0.627397
26	0.050275	0.3894	0.349169
27	-0.055517	-0.43	0.665645
28	-0.075181	-0.5823	0.718743
29	0.099535	0.771	0.221867
30	-0.057123	-0.4425	0.670132
31	-0.019658	-0.1523	0.560259
32	-0.129619	-1.004	0.8403
33	-0.101286	-0.7846	0.782101
34	0.067313	0.5214	0.302003
35	-0.065229	-0.5053	0.692386
36	-0.020726	-0.1605	0.563503
37	-0.000815	-0.0063	0.502509
38	-0.028589	-0.2214	0.587252
39	0.047124	0.365	0.358189
40	-0.001706	-0.0132	0.505249
41	-0.08614	-0.6672	0.74641
42	-0.001207	-0.0094	0.503715
43	0.084649	0.6557	0.257266
44	0.091847	0.7114	0.239783
45	0.016877	0.1307	0.448213
46	0.047962	0.3715	0.355783
47	-0.04802	-0.372	0.644383

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.941267 & 7.291 & 0 \tabularnewline
1 & -0.213095 & -1.6506 & 0.94798 \tabularnewline
2 & -0.0282 & -0.2184 & 0.586084 \tabularnewline
3 & 0.066752 & 0.5171 & 0.303509 \tabularnewline
4 & -0.012791 & -0.0991 & 0.539297 \tabularnewline
5 & -0.142481 & -1.1037 & 0.862925 \tabularnewline
6 & -0.023711 & -0.1837 & 0.572553 \tabularnewline
7 & 0.089085 & 0.69 & 0.246412 \tabularnewline
8 & -0.044934 & -0.3481 & 0.635492 \tabularnewline
9 & 0.077641 & 0.6014 & 0.274918 \tabularnewline
10 & -0.03457 & -0.2678 & 0.605106 \tabularnewline
11 & -0.12461 & -0.9652 & 0.830847 \tabularnewline
12 & -0.088157 & -0.6829 & 0.751339 \tabularnewline
13 & -0.083597 & -0.6475 & 0.740125 \tabularnewline
14 & -0.086135 & -0.6672 & 0.7464 \tabularnewline
15 & 0.075797 & 0.5871 & 0.279662 \tabularnewline
16 & 0.05171 & 0.4005 & 0.34509 \tabularnewline
17 & -0.003386 & -0.0262 & 0.510419 \tabularnewline
18 & -0.071755 & -0.5558 & 0.709798 \tabularnewline
19 & -0.133516 & -1.0342 & 0.847406 \tabularnewline
20 & 0.001291 & 0.01 & 0.496027 \tabularnewline
21 & 0.051303 & 0.3974 & 0.346246 \tabularnewline
22 & 0.017467 & 0.1353 & 0.446413 \tabularnewline
23 & 0.043491 & 0.3369 & 0.36869 \tabularnewline
24 & -0.006003 & -0.0465 & 0.518466 \tabularnewline
25 & -0.042147 & -0.3265 & 0.627397 \tabularnewline
26 & 0.050275 & 0.3894 & 0.349169 \tabularnewline
27 & -0.055517 & -0.43 & 0.665645 \tabularnewline
28 & -0.075181 & -0.5823 & 0.718743 \tabularnewline
29 & 0.099535 & 0.771 & 0.221867 \tabularnewline
30 & -0.057123 & -0.4425 & 0.670132 \tabularnewline
31 & -0.019658 & -0.1523 & 0.560259 \tabularnewline
32 & -0.129619 & -1.004 & 0.8403 \tabularnewline
33 & -0.101286 & -0.7846 & 0.782101 \tabularnewline
34 & 0.067313 & 0.5214 & 0.302003 \tabularnewline
35 & -0.065229 & -0.5053 & 0.692386 \tabularnewline
36 & -0.020726 & -0.1605 & 0.563503 \tabularnewline
37 & -0.000815 & -0.0063 & 0.502509 \tabularnewline
38 & -0.028589 & -0.2214 & 0.587252 \tabularnewline
39 & 0.047124 & 0.365 & 0.358189 \tabularnewline
40 & -0.001706 & -0.0132 & 0.505249 \tabularnewline
41 & -0.08614 & -0.6672 & 0.74641 \tabularnewline
42 & -0.001207 & -0.0094 & 0.503715 \tabularnewline
43 & 0.084649 & 0.6557 & 0.257266 \tabularnewline
44 & 0.091847 & 0.7114 & 0.239783 \tabularnewline
45 & 0.016877 & 0.1307 & 0.448213 \tabularnewline
46 & 0.047962 & 0.3715 & 0.355783 \tabularnewline
47 & -0.04802 & -0.372 & 0.644383 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3719&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]0[/C][C]0.941267[/C][C]7.291[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.213095[/C][C]-1.6506[/C][C]0.94798[/C][/ROW]
[ROW][C]2[/C][C]-0.0282[/C][C]-0.2184[/C][C]0.586084[/C][/ROW]
[ROW][C]3[/C][C]0.066752[/C][C]0.5171[/C][C]0.303509[/C][/ROW]
[ROW][C]4[/C][C]-0.012791[/C][C]-0.0991[/C][C]0.539297[/C][/ROW]
[ROW][C]5[/C][C]-0.142481[/C][C]-1.1037[/C][C]0.862925[/C][/ROW]
[ROW][C]6[/C][C]-0.023711[/C][C]-0.1837[/C][C]0.572553[/C][/ROW]
[ROW][C]7[/C][C]0.089085[/C][C]0.69[/C][C]0.246412[/C][/ROW]
[ROW][C]8[/C][C]-0.044934[/C][C]-0.3481[/C][C]0.635492[/C][/ROW]
[ROW][C]9[/C][C]0.077641[/C][C]0.6014[/C][C]0.274918[/C][/ROW]
[ROW][C]10[/C][C]-0.03457[/C][C]-0.2678[/C][C]0.605106[/C][/ROW]
[ROW][C]11[/C][C]-0.12461[/C][C]-0.9652[/C][C]0.830847[/C][/ROW]
[ROW][C]12[/C][C]-0.088157[/C][C]-0.6829[/C][C]0.751339[/C][/ROW]
[ROW][C]13[/C][C]-0.083597[/C][C]-0.6475[/C][C]0.740125[/C][/ROW]
[ROW][C]14[/C][C]-0.086135[/C][C]-0.6672[/C][C]0.7464[/C][/ROW]
[ROW][C]15[/C][C]0.075797[/C][C]0.5871[/C][C]0.279662[/C][/ROW]
[ROW][C]16[/C][C]0.05171[/C][C]0.4005[/C][C]0.34509[/C][/ROW]
[ROW][C]17[/C][C]-0.003386[/C][C]-0.0262[/C][C]0.510419[/C][/ROW]
[ROW][C]18[/C][C]-0.071755[/C][C]-0.5558[/C][C]0.709798[/C][/ROW]
[ROW][C]19[/C][C]-0.133516[/C][C]-1.0342[/C][C]0.847406[/C][/ROW]
[ROW][C]20[/C][C]0.001291[/C][C]0.01[/C][C]0.496027[/C][/ROW]
[ROW][C]21[/C][C]0.051303[/C][C]0.3974[/C][C]0.346246[/C][/ROW]
[ROW][C]22[/C][C]0.017467[/C][C]0.1353[/C][C]0.446413[/C][/ROW]
[ROW][C]23[/C][C]0.043491[/C][C]0.3369[/C][C]0.36869[/C][/ROW]
[ROW][C]24[/C][C]-0.006003[/C][C]-0.0465[/C][C]0.518466[/C][/ROW]
[ROW][C]25[/C][C]-0.042147[/C][C]-0.3265[/C][C]0.627397[/C][/ROW]
[ROW][C]26[/C][C]0.050275[/C][C]0.3894[/C][C]0.349169[/C][/ROW]
[ROW][C]27[/C][C]-0.055517[/C][C]-0.43[/C][C]0.665645[/C][/ROW]
[ROW][C]28[/C][C]-0.075181[/C][C]-0.5823[/C][C]0.718743[/C][/ROW]
[ROW][C]29[/C][C]0.099535[/C][C]0.771[/C][C]0.221867[/C][/ROW]
[ROW][C]30[/C][C]-0.057123[/C][C]-0.4425[/C][C]0.670132[/C][/ROW]
[ROW][C]31[/C][C]-0.019658[/C][C]-0.1523[/C][C]0.560259[/C][/ROW]
[ROW][C]32[/C][C]-0.129619[/C][C]-1.004[/C][C]0.8403[/C][/ROW]
[ROW][C]33[/C][C]-0.101286[/C][C]-0.7846[/C][C]0.782101[/C][/ROW]
[ROW][C]34[/C][C]0.067313[/C][C]0.5214[/C][C]0.302003[/C][/ROW]
[ROW][C]35[/C][C]-0.065229[/C][C]-0.5053[/C][C]0.692386[/C][/ROW]
[ROW][C]36[/C][C]-0.020726[/C][C]-0.1605[/C][C]0.563503[/C][/ROW]
[ROW][C]37[/C][C]-0.000815[/C][C]-0.0063[/C][C]0.502509[/C][/ROW]
[ROW][C]38[/C][C]-0.028589[/C][C]-0.2214[/C][C]0.587252[/C][/ROW]
[ROW][C]39[/C][C]0.047124[/C][C]0.365[/C][C]0.358189[/C][/ROW]
[ROW][C]40[/C][C]-0.001706[/C][C]-0.0132[/C][C]0.505249[/C][/ROW]
[ROW][C]41[/C][C]-0.08614[/C][C]-0.6672[/C][C]0.74641[/C][/ROW]
[ROW][C]42[/C][C]-0.001207[/C][C]-0.0094[/C][C]0.503715[/C][/ROW]
[ROW][C]43[/C][C]0.084649[/C][C]0.6557[/C][C]0.257266[/C][/ROW]
[ROW][C]44[/C][C]0.091847[/C][C]0.7114[/C][C]0.239783[/C][/ROW]
[ROW][C]45[/C][C]0.016877[/C][C]0.1307[/C][C]0.448213[/C][/ROW]
[ROW][C]46[/C][C]0.047962[/C][C]0.3715[/C][C]0.355783[/C][/ROW]
[ROW][C]47[/C][C]-0.04802[/C][C]-0.372[/C][C]0.644383[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3719&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3719&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
0	0.941267	7.291	0
1	-0.213095	-1.6506	0.94798
2	-0.0282	-0.2184	0.586084
3	0.066752	0.5171	0.303509
4	-0.012791	-0.0991	0.539297
5	-0.142481	-1.1037	0.862925
6	-0.023711	-0.1837	0.572553
7	0.089085	0.69	0.246412
8	-0.044934	-0.3481	0.635492
9	0.077641	0.6014	0.274918
10	-0.03457	-0.2678	0.605106
11	-0.12461	-0.9652	0.830847
12	-0.088157	-0.6829	0.751339
13	-0.083597	-0.6475	0.740125
14	-0.086135	-0.6672	0.7464
15	0.075797	0.5871	0.279662
16	0.05171	0.4005	0.34509
17	-0.003386	-0.0262	0.510419
18	-0.071755	-0.5558	0.709798
19	-0.133516	-1.0342	0.847406
20	0.001291	0.01	0.496027
21	0.051303	0.3974	0.346246
22	0.017467	0.1353	0.446413
23	0.043491	0.3369	0.36869
24	-0.006003	-0.0465	0.518466
25	-0.042147	-0.3265	0.627397
26	0.050275	0.3894	0.349169
27	-0.055517	-0.43	0.665645
28	-0.075181	-0.5823	0.718743
29	0.099535	0.771	0.221867
30	-0.057123	-0.4425	0.670132
31	-0.019658	-0.1523	0.560259
32	-0.129619	-1.004	0.8403
33	-0.101286	-0.7846	0.782101
34	0.067313	0.5214	0.302003
35	-0.065229	-0.5053	0.692386
36	-0.020726	-0.1605	0.563503
37	-0.000815	-0.0063	0.502509
38	-0.028589	-0.2214	0.587252
39	0.047124	0.365	0.358189
40	-0.001706	-0.0132	0.505249
41	-0.08614	-0.6672	0.74641
42	-0.001207	-0.0094	0.503715
43	0.084649	0.6557	0.257266
44	0.091847	0.7114	0.239783
45	0.016877	0.1307	0.448213
46	0.047962	0.3715	0.355783
47	-0.04802	-0.372	0.644383

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = -0.4 ; 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 1:par1) {
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(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-1,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(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