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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 09 Dec 2009 06:36:40 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/09/t1260365923ll9fceyc0fcsfuu.htm/, Retrieved Fri, 01 Nov 2024 00:38:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64953, Retrieved Fri, 01 Nov 2024 00:38:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordssdws paper
Estimated Impact221

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [(partial) autocor...] [2009-12-09 13:20:29] [f7fc9270f813d017f9fa5b506fdc7682]
-   P     [(Partial) Autocorrelation Function] [autocorrelation] [2009-12-09 13:36:40] [2d672adbf8ae6977476cb9852ecac1a3] [Current]
-   PD      [(Partial) Autocorrelation Function] [autocorrelation o...] [2010-12-18 13:57:00] [a8a0ff0853b70f438be515083758c362]
-   P         [(Partial) Autocorrelation Function] [differentiatie va...] [2010-12-21 11:31:01] [a8a0ff0853b70f438be515083758c362]
-   PD      [(Partial) Autocorrelation Function] [autocorrelation o...] [2010-12-18 13:59:09] [a8a0ff0853b70f438be515083758c362]
-   P         [(Partial) Autocorrelation Function] [differentiatie va...] [2010-12-21 11:53:47] [a8a0ff0853b70f438be515083758c362]
- R  D      [(Partial) Autocorrelation Function] [] [2010-12-27 10:00:11] [c420bdd199bcbe079f7d532ca3855317]
- R  D      [(Partial) Autocorrelation Function] [Autocorrelatie] [2010-12-27 10:03:28] [c420bdd199bcbe079f7d532ca3855317]
-    D        [(Partial) Autocorrelation Function] [Autocorrelatie] [2010-12-27 22:28:14] [c420bdd199bcbe079f7d532ca3855317]
-             [(Partial) Autocorrelation Function] [Autocorrelatiefun...] [2010-12-29 21:39:31] [17d39bb3ec485d4ce196f61215d11ba1]
-             [(Partial) Autocorrelation Function] [Autocorrelatie] [2010-12-29 22:14:45] [442b6d00ecbe55ac6a674160c9c5510a]
- R PD      [(Partial) Autocorrelation Function] [Autocorrelatie] [2010-12-27 10:35:10] [c420bdd199bcbe079f7d532ca3855317]
-             [(Partial) Autocorrelation Function] [Autocorrelatie NW...] [2010-12-29 21:43:23] [17d39bb3ec485d4ce196f61215d11ba1]
-             [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2010-12-29 22:33:54] [442b6d00ecbe55ac6a674160c9c5510a]
- R PD      [(Partial) Autocorrelation Function] [Autocorrelatie] [2010-12-27 10:44:48] [c420bdd199bcbe079f7d532ca3855317]
-             [(Partial) Autocorrelation Function] [Autocorrelatie NW...] [2010-12-29 21:46:27] [17d39bb3ec485d4ce196f61215d11ba1]
- RM D        [ARIMA Forecasting] [ACF- nwwz- trans 2] [2010-12-29 22:39:54] [442b6d00ecbe55ac6a674160c9c5510a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945
506174
501866
516141
528222
532638
536322
536535
523597
536214
586570
596594
580523
564478

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64953&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]2 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=64953&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64953&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8849868.15920
20.7087286.53420
30.5820275.3660
40.5240114.83113e-06
50.5204154.7983e-06
60.4981554.59288e-06
70.4272673.93928.3e-05
80.3359453.09730.001323
90.297562.74340.003708
100.3401343.13590.001177
110.4316133.97937.2e-05
120.4695654.32922e-05
130.3337163.07670.001408
140.1534721.41490.08037
150.0193520.17840.429409
16-0.051352-0.47340.318556
17-0.07057-0.65060.258521
18-0.099843-0.92050.179957
19-0.164-1.5120.067121
20-0.242017-2.23130.014147
21-0.269298-2.48280.0075
22-0.227905-2.10120.019293
23-0.149892-1.38190.085307
24-0.117933-1.08730.139992
25-0.220545-2.03330.02257
26-0.350506-3.23150.000876
27-0.433358-3.99546.8e-05
28-0.455683-4.20123.3e-05
29-0.435828-4.01816.3e-05
30-0.425366-3.92178.9e-05
31-0.4437-4.09074.9e-05
32-0.470423-4.33712e-05
33-0.449214-4.14154.1e-05
34-0.372158-3.43110.000465
35-0.274308-2.5290.006643
36-0.215052-1.98270.025317

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.884986 & 8.1592 & 0 \tabularnewline
2 & 0.708728 & 6.5342 & 0 \tabularnewline
3 & 0.582027 & 5.366 & 0 \tabularnewline
4 & 0.524011 & 4.8311 & 3e-06 \tabularnewline
5 & 0.520415 & 4.798 & 3e-06 \tabularnewline
6 & 0.498155 & 4.5928 & 8e-06 \tabularnewline
7 & 0.427267 & 3.9392 & 8.3e-05 \tabularnewline
8 & 0.335945 & 3.0973 & 0.001323 \tabularnewline
9 & 0.29756 & 2.7434 & 0.003708 \tabularnewline
10 & 0.340134 & 3.1359 & 0.001177 \tabularnewline
11 & 0.431613 & 3.9793 & 7.2e-05 \tabularnewline
12 & 0.469565 & 4.3292 & 2e-05 \tabularnewline
13 & 0.333716 & 3.0767 & 0.001408 \tabularnewline
14 & 0.153472 & 1.4149 & 0.08037 \tabularnewline
15 & 0.019352 & 0.1784 & 0.429409 \tabularnewline
16 & -0.051352 & -0.4734 & 0.318556 \tabularnewline
17 & -0.07057 & -0.6506 & 0.258521 \tabularnewline
18 & -0.099843 & -0.9205 & 0.179957 \tabularnewline
19 & -0.164 & -1.512 & 0.067121 \tabularnewline
20 & -0.242017 & -2.2313 & 0.014147 \tabularnewline
21 & -0.269298 & -2.4828 & 0.0075 \tabularnewline
22 & -0.227905 & -2.1012 & 0.019293 \tabularnewline
23 & -0.149892 & -1.3819 & 0.085307 \tabularnewline
24 & -0.117933 & -1.0873 & 0.139992 \tabularnewline
25 & -0.220545 & -2.0333 & 0.02257 \tabularnewline
26 & -0.350506 & -3.2315 & 0.000876 \tabularnewline
27 & -0.433358 & -3.9954 & 6.8e-05 \tabularnewline
28 & -0.455683 & -4.2012 & 3.3e-05 \tabularnewline
29 & -0.435828 & -4.0181 & 6.3e-05 \tabularnewline
30 & -0.425366 & -3.9217 & 8.9e-05 \tabularnewline
31 & -0.4437 & -4.0907 & 4.9e-05 \tabularnewline
32 & -0.470423 & -4.3371 & 2e-05 \tabularnewline
33 & -0.449214 & -4.1415 & 4.1e-05 \tabularnewline
34 & -0.372158 & -3.4311 & 0.000465 \tabularnewline
35 & -0.274308 & -2.529 & 0.006643 \tabularnewline
36 & -0.215052 & -1.9827 & 0.025317 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64953&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]0.884986[/C][C]8.1592[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.708728[/C][C]6.5342[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.582027[/C][C]5.366[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.524011[/C][C]4.8311[/C][C]3e-06[/C][/ROW]
[ROW][C]5[/C][C]0.520415[/C][C]4.798[/C][C]3e-06[/C][/ROW]
[ROW][C]6[/C][C]0.498155[/C][C]4.5928[/C][C]8e-06[/C][/ROW]
[ROW][C]7[/C][C]0.427267[/C][C]3.9392[/C][C]8.3e-05[/C][/ROW]
[ROW][C]8[/C][C]0.335945[/C][C]3.0973[/C][C]0.001323[/C][/ROW]
[ROW][C]9[/C][C]0.29756[/C][C]2.7434[/C][C]0.003708[/C][/ROW]
[ROW][C]10[/C][C]0.340134[/C][C]3.1359[/C][C]0.001177[/C][/ROW]
[ROW][C]11[/C][C]0.431613[/C][C]3.9793[/C][C]7.2e-05[/C][/ROW]
[ROW][C]12[/C][C]0.469565[/C][C]4.3292[/C][C]2e-05[/C][/ROW]
[ROW][C]13[/C][C]0.333716[/C][C]3.0767[/C][C]0.001408[/C][/ROW]
[ROW][C]14[/C][C]0.153472[/C][C]1.4149[/C][C]0.08037[/C][/ROW]
[ROW][C]15[/C][C]0.019352[/C][C]0.1784[/C][C]0.429409[/C][/ROW]
[ROW][C]16[/C][C]-0.051352[/C][C]-0.4734[/C][C]0.318556[/C][/ROW]
[ROW][C]17[/C][C]-0.07057[/C][C]-0.6506[/C][C]0.258521[/C][/ROW]
[ROW][C]18[/C][C]-0.099843[/C][C]-0.9205[/C][C]0.179957[/C][/ROW]
[ROW][C]19[/C][C]-0.164[/C][C]-1.512[/C][C]0.067121[/C][/ROW]
[ROW][C]20[/C][C]-0.242017[/C][C]-2.2313[/C][C]0.014147[/C][/ROW]
[ROW][C]21[/C][C]-0.269298[/C][C]-2.4828[/C][C]0.0075[/C][/ROW]
[ROW][C]22[/C][C]-0.227905[/C][C]-2.1012[/C][C]0.019293[/C][/ROW]
[ROW][C]23[/C][C]-0.149892[/C][C]-1.3819[/C][C]0.085307[/C][/ROW]
[ROW][C]24[/C][C]-0.117933[/C][C]-1.0873[/C][C]0.139992[/C][/ROW]
[ROW][C]25[/C][C]-0.220545[/C][C]-2.0333[/C][C]0.02257[/C][/ROW]
[ROW][C]26[/C][C]-0.350506[/C][C]-3.2315[/C][C]0.000876[/C][/ROW]
[ROW][C]27[/C][C]-0.433358[/C][C]-3.9954[/C][C]6.8e-05[/C][/ROW]
[ROW][C]28[/C][C]-0.455683[/C][C]-4.2012[/C][C]3.3e-05[/C][/ROW]
[ROW][C]29[/C][C]-0.435828[/C][C]-4.0181[/C][C]6.3e-05[/C][/ROW]
[ROW][C]30[/C][C]-0.425366[/C][C]-3.9217[/C][C]8.9e-05[/C][/ROW]
[ROW][C]31[/C][C]-0.4437[/C][C]-4.0907[/C][C]4.9e-05[/C][/ROW]
[ROW][C]32[/C][C]-0.470423[/C][C]-4.3371[/C][C]2e-05[/C][/ROW]
[ROW][C]33[/C][C]-0.449214[/C][C]-4.1415[/C][C]4.1e-05[/C][/ROW]
[ROW][C]34[/C][C]-0.372158[/C][C]-3.4311[/C][C]0.000465[/C][/ROW]
[ROW][C]35[/C][C]-0.274308[/C][C]-2.529[/C][C]0.006643[/C][/ROW]
[ROW][C]36[/C][C]-0.215052[/C][C]-1.9827[/C][C]0.025317[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64953&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64953&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8849868.15920
20.7087286.53420
30.5820275.3660
40.5240114.83113e-06
50.5204154.7983e-06
60.4981554.59288e-06
70.4272673.93928.3e-05
80.3359453.09730.001323
90.297562.74340.003708
100.3401343.13590.001177
110.4316133.97937.2e-05
120.4695654.32922e-05
130.3337163.07670.001408
140.1534721.41490.08037
150.0193520.17840.429409
16-0.051352-0.47340.318556
17-0.07057-0.65060.258521
18-0.099843-0.92050.179957
19-0.164-1.5120.067121
20-0.242017-2.23130.014147
21-0.269298-2.48280.0075
22-0.227905-2.10120.019293
23-0.149892-1.38190.085307
24-0.117933-1.08730.139992
25-0.220545-2.03330.02257
26-0.350506-3.23150.000876
27-0.433358-3.99546.8e-05
28-0.455683-4.20123.3e-05
29-0.435828-4.01816.3e-05
30-0.425366-3.92178.9e-05
31-0.4437-4.09074.9e-05
32-0.470423-4.33712e-05
33-0.449214-4.14154.1e-05
34-0.372158-3.43110.000465
35-0.274308-2.5290.006643
36-0.215052-1.98270.025317






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8849868.15920
2-0.343508-3.1670.00107
30.2267532.09060.019777
40.1130841.04260.150048
50.152121.40250.082208
6-0.142553-1.31430.096145
7-0.073853-0.68090.248894
8-0.027718-0.25550.399458
90.2206352.03420.022527
100.1759161.62190.054268
110.1804251.66340.049954
12-0.193959-1.78820.038652
13-0.665845-6.13880
140.1141821.05270.14773
15-0.104612-0.96450.168773
16-0.009586-0.08840.464892
17-0.090324-0.83270.20366
180.0613620.56570.286533
190.0739260.68160.248684
200.0194120.1790.429195
21-0.01942-0.1790.429163
22-0.178281-1.64370.05197
23-0.040343-0.37190.355428
24-0.047244-0.43560.332126
25-0.069926-0.64470.260432
260.018640.17190.431981
270.033390.30780.379478
280.0820440.75640.225747
29-0.047443-0.43740.331465
300.0021550.01990.492096
31-0.066082-0.60920.271993
320.0083250.07680.469501
33-0.019452-0.17930.42905
34-0.03452-0.31830.375535
35-0.031865-0.29380.384821
360.1037750.95680.1707

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.884986 & 8.1592 & 0 \tabularnewline
2 & -0.343508 & -3.167 & 0.00107 \tabularnewline
3 & 0.226753 & 2.0906 & 0.019777 \tabularnewline
4 & 0.113084 & 1.0426 & 0.150048 \tabularnewline
5 & 0.15212 & 1.4025 & 0.082208 \tabularnewline
6 & -0.142553 & -1.3143 & 0.096145 \tabularnewline
7 & -0.073853 & -0.6809 & 0.248894 \tabularnewline
8 & -0.027718 & -0.2555 & 0.399458 \tabularnewline
9 & 0.220635 & 2.0342 & 0.022527 \tabularnewline
10 & 0.175916 & 1.6219 & 0.054268 \tabularnewline
11 & 0.180425 & 1.6634 & 0.049954 \tabularnewline
12 & -0.193959 & -1.7882 & 0.038652 \tabularnewline
13 & -0.665845 & -6.1388 & 0 \tabularnewline
14 & 0.114182 & 1.0527 & 0.14773 \tabularnewline
15 & -0.104612 & -0.9645 & 0.168773 \tabularnewline
16 & -0.009586 & -0.0884 & 0.464892 \tabularnewline
17 & -0.090324 & -0.8327 & 0.20366 \tabularnewline
18 & 0.061362 & 0.5657 & 0.286533 \tabularnewline
19 & 0.073926 & 0.6816 & 0.248684 \tabularnewline
20 & 0.019412 & 0.179 & 0.429195 \tabularnewline
21 & -0.01942 & -0.179 & 0.429163 \tabularnewline
22 & -0.178281 & -1.6437 & 0.05197 \tabularnewline
23 & -0.040343 & -0.3719 & 0.355428 \tabularnewline
24 & -0.047244 & -0.4356 & 0.332126 \tabularnewline
25 & -0.069926 & -0.6447 & 0.260432 \tabularnewline
26 & 0.01864 & 0.1719 & 0.431981 \tabularnewline
27 & 0.03339 & 0.3078 & 0.379478 \tabularnewline
28 & 0.082044 & 0.7564 & 0.225747 \tabularnewline
29 & -0.047443 & -0.4374 & 0.331465 \tabularnewline
30 & 0.002155 & 0.0199 & 0.492096 \tabularnewline
31 & -0.066082 & -0.6092 & 0.271993 \tabularnewline
32 & 0.008325 & 0.0768 & 0.469501 \tabularnewline
33 & -0.019452 & -0.1793 & 0.42905 \tabularnewline
34 & -0.03452 & -0.3183 & 0.375535 \tabularnewline
35 & -0.031865 & -0.2938 & 0.384821 \tabularnewline
36 & 0.103775 & 0.9568 & 0.1707 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64953&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]0.884986[/C][C]8.1592[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.343508[/C][C]-3.167[/C][C]0.00107[/C][/ROW]
[ROW][C]3[/C][C]0.226753[/C][C]2.0906[/C][C]0.019777[/C][/ROW]
[ROW][C]4[/C][C]0.113084[/C][C]1.0426[/C][C]0.150048[/C][/ROW]
[ROW][C]5[/C][C]0.15212[/C][C]1.4025[/C][C]0.082208[/C][/ROW]
[ROW][C]6[/C][C]-0.142553[/C][C]-1.3143[/C][C]0.096145[/C][/ROW]
[ROW][C]7[/C][C]-0.073853[/C][C]-0.6809[/C][C]0.248894[/C][/ROW]
[ROW][C]8[/C][C]-0.027718[/C][C]-0.2555[/C][C]0.399458[/C][/ROW]
[ROW][C]9[/C][C]0.220635[/C][C]2.0342[/C][C]0.022527[/C][/ROW]
[ROW][C]10[/C][C]0.175916[/C][C]1.6219[/C][C]0.054268[/C][/ROW]
[ROW][C]11[/C][C]0.180425[/C][C]1.6634[/C][C]0.049954[/C][/ROW]
[ROW][C]12[/C][C]-0.193959[/C][C]-1.7882[/C][C]0.038652[/C][/ROW]
[ROW][C]13[/C][C]-0.665845[/C][C]-6.1388[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.114182[/C][C]1.0527[/C][C]0.14773[/C][/ROW]
[ROW][C]15[/C][C]-0.104612[/C][C]-0.9645[/C][C]0.168773[/C][/ROW]
[ROW][C]16[/C][C]-0.009586[/C][C]-0.0884[/C][C]0.464892[/C][/ROW]
[ROW][C]17[/C][C]-0.090324[/C][C]-0.8327[/C][C]0.20366[/C][/ROW]
[ROW][C]18[/C][C]0.061362[/C][C]0.5657[/C][C]0.286533[/C][/ROW]
[ROW][C]19[/C][C]0.073926[/C][C]0.6816[/C][C]0.248684[/C][/ROW]
[ROW][C]20[/C][C]0.019412[/C][C]0.179[/C][C]0.429195[/C][/ROW]
[ROW][C]21[/C][C]-0.01942[/C][C]-0.179[/C][C]0.429163[/C][/ROW]
[ROW][C]22[/C][C]-0.178281[/C][C]-1.6437[/C][C]0.05197[/C][/ROW]
[ROW][C]23[/C][C]-0.040343[/C][C]-0.3719[/C][C]0.355428[/C][/ROW]
[ROW][C]24[/C][C]-0.047244[/C][C]-0.4356[/C][C]0.332126[/C][/ROW]
[ROW][C]25[/C][C]-0.069926[/C][C]-0.6447[/C][C]0.260432[/C][/ROW]
[ROW][C]26[/C][C]0.01864[/C][C]0.1719[/C][C]0.431981[/C][/ROW]
[ROW][C]27[/C][C]0.03339[/C][C]0.3078[/C][C]0.379478[/C][/ROW]
[ROW][C]28[/C][C]0.082044[/C][C]0.7564[/C][C]0.225747[/C][/ROW]
[ROW][C]29[/C][C]-0.047443[/C][C]-0.4374[/C][C]0.331465[/C][/ROW]
[ROW][C]30[/C][C]0.002155[/C][C]0.0199[/C][C]0.492096[/C][/ROW]
[ROW][C]31[/C][C]-0.066082[/C][C]-0.6092[/C][C]0.271993[/C][/ROW]
[ROW][C]32[/C][C]0.008325[/C][C]0.0768[/C][C]0.469501[/C][/ROW]
[ROW][C]33[/C][C]-0.019452[/C][C]-0.1793[/C][C]0.42905[/C][/ROW]
[ROW][C]34[/C][C]-0.03452[/C][C]-0.3183[/C][C]0.375535[/C][/ROW]
[ROW][C]35[/C][C]-0.031865[/C][C]-0.2938[/C][C]0.384821[/C][/ROW]
[ROW][C]36[/C][C]0.103775[/C][C]0.9568[/C][C]0.1707[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64953&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64953&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8849868.15920
2-0.343508-3.1670.00107
30.2267532.09060.019777
40.1130841.04260.150048
50.152121.40250.082208
6-0.142553-1.31430.096145
7-0.073853-0.68090.248894
8-0.027718-0.25550.399458
90.2206352.03420.022527
100.1759161.62190.054268
110.1804251.66340.049954
12-0.193959-1.78820.038652
13-0.665845-6.13880
140.1141821.05270.14773
15-0.104612-0.96450.168773
16-0.009586-0.08840.464892
17-0.090324-0.83270.20366
180.0613620.56570.286533
190.0739260.68160.248684
200.0194120.1790.429195
21-0.01942-0.1790.429163
22-0.178281-1.64370.05197
23-0.040343-0.37190.355428
24-0.047244-0.43560.332126
25-0.069926-0.64470.260432
260.018640.17190.431981
270.033390.30780.379478
280.0820440.75640.225747
29-0.047443-0.43740.331465
300.0021550.01990.492096
31-0.066082-0.60920.271993
320.0083250.07680.469501
33-0.019452-0.17930.42905
34-0.03452-0.31830.375535
35-0.031865-0.29380.384821
360.1037750.95680.1707


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')