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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 computationFri, 12 Dec 2008 07:04:37 -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/2008/Dec/12/t122909098425nttw4o21hy099.htm/, Retrieved Fri, 17 May 2024 05:46:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32757, Retrieved Fri, 17 May 2024 05:46:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact231

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Airline data] [2007-10-18 09:58:47] [42daae401fd3def69a25014f2252b4c2]
F RMPD  [Standard Deviation-Mean Plot] [vraag 5] [2008-11-29 13:37:39] [c45c87b96bbf32ffc2144fc37d767b2e]
- RMPD      [(Partial) Autocorrelation Function] [ACF] [2008-12-12 14:04:37] [3dc594a6c62226e1e98766c4d385bfaa] [Current]
- RMP         [ARIMA Backward Selection] [ABSM] [2008-12-12 19:09:25] [c45c87b96bbf32ffc2144fc37d767b2e]
- RMP           [ARIMA Forecasting] [] [2008-12-12 22:17:43] [a4ee3bef49b119f4bd2e925060c84f5e]
- RMP           [ARIMA Forecasting] [] [2008-12-12 22:20:54] [a4ee3bef49b119f4bd2e925060c84f5e]
-   PD            [ARIMA Forecasting] [ARIMA Forecast To...] [2008-12-15 10:23:36] [b635de6fc42b001d22cbe6e730fec936]
-   P           [ARIMA Backward Selection] [] [2008-12-12 22:24:32] [a4ee3bef49b119f4bd2e925060c84f5e]
F RMP           [ARIMA Forecasting] [ARIMA forecasting] [2008-12-13 15:15:45] [c45c87b96bbf32ffc2144fc37d767b2e]
-   PD            [ARIMA Forecasting] [ARIMA forecasting] [2008-12-16 23:08:55] [c45c87b96bbf32ffc2144fc37d767b2e]
-   PD            [ARIMA Forecasting] [ARIMA forecasting] [2008-12-16 23:08:55] [c45c87b96bbf32ffc2144fc37d767b2e]
-   PD            [ARIMA Forecasting] [ARIMA forecasting] [2008-12-16 23:08:55] [c45c87b96bbf32ffc2144fc37d767b2e]
-   PD            [ARIMA Forecasting] [ARIMA forecasting] [2008-12-16 23:08:55] [c45c87b96bbf32ffc2144fc37d767b2e]
- RMPD          [] [ABSM] [-0001-11-30 00:00:00] [c45c87b96bbf32ffc2144fc37d767b2e]
- RMPD            [ARIMA Backward Selection] [ABSM] [2008-12-16 11:46:07] [c45c87b96bbf32ffc2144fc37d767b2e]
-    D              [ARIMA Backward Selection] [ABSM] [2008-12-16 23:05:32] [c45c87b96bbf32ffc2144fc37d767b2e]
-   P         [(Partial) Autocorrelation Function] [ACF] [2008-12-16 11:38:28] [c45c87b96bbf32ffc2144fc37d767b2e]
-    D          [(Partial) Autocorrelation Function] [acf] [2008-12-16 22:59:25] [c45c87b96bbf32ffc2144fc37d767b2e]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
493
481
462
457
442
439
488
521
501
485
464
460
467
460
448
443
436
431
484
510
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32757&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32757&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32757&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0176290.16630.434145
20.0122580.11560.454097
3-0.019241-0.18150.428185
40.0976950.92170.1796
50.064710.61050.271551
60.0665250.62760.265939
70.0439460.41460.339722
80.1197471.12970.130822
90.1494891.41030.080971
10-0.056702-0.53490.297017
11-0.064954-0.61280.270792
12-0.224359-2.11660.018542
130.0015750.01490.494091
140.2249372.12210.018306
15-0.0143-0.13490.446494
16-0.028666-0.27040.393726
17-0.078449-0.74010.230598
180.0628350.59280.277416
190.0760270.71720.237552
20-0.006547-0.06180.475443
210.0510320.48140.315693
220.0704180.66430.2541
230.1810331.70790.045574
24-0.101021-0.9530.171578
25-0.132457-1.24960.107362
26-0.186961-1.76380.0406
270.0872040.82270.206444
28-0.016724-0.15780.437496
290.1104191.04170.150188
30-0.094317-0.88980.187989
31-0.092483-0.87250.192647
320.0093740.08840.464865
33-0.112018-1.05680.146738
34-0.099033-0.93430.176345
35-0.05721-0.53970.29537
360.0435560.41090.341063

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.017629 & 0.1663 & 0.434145 \tabularnewline
2 & 0.012258 & 0.1156 & 0.454097 \tabularnewline
3 & -0.019241 & -0.1815 & 0.428185 \tabularnewline
4 & 0.097695 & 0.9217 & 0.1796 \tabularnewline
5 & 0.06471 & 0.6105 & 0.271551 \tabularnewline
6 & 0.066525 & 0.6276 & 0.265939 \tabularnewline
7 & 0.043946 & 0.4146 & 0.339722 \tabularnewline
8 & 0.119747 & 1.1297 & 0.130822 \tabularnewline
9 & 0.149489 & 1.4103 & 0.080971 \tabularnewline
10 & -0.056702 & -0.5349 & 0.297017 \tabularnewline
11 & -0.064954 & -0.6128 & 0.270792 \tabularnewline
12 & -0.224359 & -2.1166 & 0.018542 \tabularnewline
13 & 0.001575 & 0.0149 & 0.494091 \tabularnewline
14 & 0.224937 & 2.1221 & 0.018306 \tabularnewline
15 & -0.0143 & -0.1349 & 0.446494 \tabularnewline
16 & -0.028666 & -0.2704 & 0.393726 \tabularnewline
17 & -0.078449 & -0.7401 & 0.230598 \tabularnewline
18 & 0.062835 & 0.5928 & 0.277416 \tabularnewline
19 & 0.076027 & 0.7172 & 0.237552 \tabularnewline
20 & -0.006547 & -0.0618 & 0.475443 \tabularnewline
21 & 0.051032 & 0.4814 & 0.315693 \tabularnewline
22 & 0.070418 & 0.6643 & 0.2541 \tabularnewline
23 & 0.181033 & 1.7079 & 0.045574 \tabularnewline
24 & -0.101021 & -0.953 & 0.171578 \tabularnewline
25 & -0.132457 & -1.2496 & 0.107362 \tabularnewline
26 & -0.186961 & -1.7638 & 0.0406 \tabularnewline
27 & 0.087204 & 0.8227 & 0.206444 \tabularnewline
28 & -0.016724 & -0.1578 & 0.437496 \tabularnewline
29 & 0.110419 & 1.0417 & 0.150188 \tabularnewline
30 & -0.094317 & -0.8898 & 0.187989 \tabularnewline
31 & -0.092483 & -0.8725 & 0.192647 \tabularnewline
32 & 0.009374 & 0.0884 & 0.464865 \tabularnewline
33 & -0.112018 & -1.0568 & 0.146738 \tabularnewline
34 & -0.099033 & -0.9343 & 0.176345 \tabularnewline
35 & -0.05721 & -0.5397 & 0.29537 \tabularnewline
36 & 0.043556 & 0.4109 & 0.341063 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32757&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]0.017629[/C][C]0.1663[/C][C]0.434145[/C][/ROW]
[ROW][C]2[/C][C]0.012258[/C][C]0.1156[/C][C]0.454097[/C][/ROW]
[ROW][C]3[/C][C]-0.019241[/C][C]-0.1815[/C][C]0.428185[/C][/ROW]
[ROW][C]4[/C][C]0.097695[/C][C]0.9217[/C][C]0.1796[/C][/ROW]
[ROW][C]5[/C][C]0.06471[/C][C]0.6105[/C][C]0.271551[/C][/ROW]
[ROW][C]6[/C][C]0.066525[/C][C]0.6276[/C][C]0.265939[/C][/ROW]
[ROW][C]7[/C][C]0.043946[/C][C]0.4146[/C][C]0.339722[/C][/ROW]
[ROW][C]8[/C][C]0.119747[/C][C]1.1297[/C][C]0.130822[/C][/ROW]
[ROW][C]9[/C][C]0.149489[/C][C]1.4103[/C][C]0.080971[/C][/ROW]
[ROW][C]10[/C][C]-0.056702[/C][C]-0.5349[/C][C]0.297017[/C][/ROW]
[ROW][C]11[/C][C]-0.064954[/C][C]-0.6128[/C][C]0.270792[/C][/ROW]
[ROW][C]12[/C][C]-0.224359[/C][C]-2.1166[/C][C]0.018542[/C][/ROW]
[ROW][C]13[/C][C]0.001575[/C][C]0.0149[/C][C]0.494091[/C][/ROW]
[ROW][C]14[/C][C]0.224937[/C][C]2.1221[/C][C]0.018306[/C][/ROW]
[ROW][C]15[/C][C]-0.0143[/C][C]-0.1349[/C][C]0.446494[/C][/ROW]
[ROW][C]16[/C][C]-0.028666[/C][C]-0.2704[/C][C]0.393726[/C][/ROW]
[ROW][C]17[/C][C]-0.078449[/C][C]-0.7401[/C][C]0.230598[/C][/ROW]
[ROW][C]18[/C][C]0.062835[/C][C]0.5928[/C][C]0.277416[/C][/ROW]
[ROW][C]19[/C][C]0.076027[/C][C]0.7172[/C][C]0.237552[/C][/ROW]
[ROW][C]20[/C][C]-0.006547[/C][C]-0.0618[/C][C]0.475443[/C][/ROW]
[ROW][C]21[/C][C]0.051032[/C][C]0.4814[/C][C]0.315693[/C][/ROW]
[ROW][C]22[/C][C]0.070418[/C][C]0.6643[/C][C]0.2541[/C][/ROW]
[ROW][C]23[/C][C]0.181033[/C][C]1.7079[/C][C]0.045574[/C][/ROW]
[ROW][C]24[/C][C]-0.101021[/C][C]-0.953[/C][C]0.171578[/C][/ROW]
[ROW][C]25[/C][C]-0.132457[/C][C]-1.2496[/C][C]0.107362[/C][/ROW]
[ROW][C]26[/C][C]-0.186961[/C][C]-1.7638[/C][C]0.0406[/C][/ROW]
[ROW][C]27[/C][C]0.087204[/C][C]0.8227[/C][C]0.206444[/C][/ROW]
[ROW][C]28[/C][C]-0.016724[/C][C]-0.1578[/C][C]0.437496[/C][/ROW]
[ROW][C]29[/C][C]0.110419[/C][C]1.0417[/C][C]0.150188[/C][/ROW]
[ROW][C]30[/C][C]-0.094317[/C][C]-0.8898[/C][C]0.187989[/C][/ROW]
[ROW][C]31[/C][C]-0.092483[/C][C]-0.8725[/C][C]0.192647[/C][/ROW]
[ROW][C]32[/C][C]0.009374[/C][C]0.0884[/C][C]0.464865[/C][/ROW]
[ROW][C]33[/C][C]-0.112018[/C][C]-1.0568[/C][C]0.146738[/C][/ROW]
[ROW][C]34[/C][C]-0.099033[/C][C]-0.9343[/C][C]0.176345[/C][/ROW]
[ROW][C]35[/C][C]-0.05721[/C][C]-0.5397[/C][C]0.29537[/C][/ROW]
[ROW][C]36[/C][C]0.043556[/C][C]0.4109[/C][C]0.341063[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32757&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32757&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
10.0176290.16630.434145
20.0122580.11560.454097
3-0.019241-0.18150.428185
40.0976950.92170.1796
50.064710.61050.271551
60.0665250.62760.265939
70.0439460.41460.339722
80.1197471.12970.130822
90.1494891.41030.080971
10-0.056702-0.53490.297017
11-0.064954-0.61280.270792
12-0.224359-2.11660.018542
130.0015750.01490.494091
140.2249372.12210.018306
15-0.0143-0.13490.446494
16-0.028666-0.27040.393726
17-0.078449-0.74010.230598
180.0628350.59280.277416
190.0760270.71720.237552
20-0.006547-0.06180.475443
210.0510320.48140.315693
220.0704180.66430.2541
230.1810331.70790.045574
24-0.101021-0.9530.171578
25-0.132457-1.24960.107362
26-0.186961-1.76380.0406
270.0872040.82270.206444
28-0.016724-0.15780.437496
290.1104191.04170.150188
30-0.094317-0.88980.187989
31-0.092483-0.87250.192647
320.0093740.08840.464865
33-0.112018-1.05680.146738
34-0.099033-0.93430.176345
35-0.05721-0.53970.29537
360.0435560.41090.341063






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0176290.16630.434145
20.0119510.11270.455242
3-0.019675-0.18560.426587
40.0983140.92750.17809
50.0621920.58670.279438
60.0626250.59080.278075
70.0457520.43160.333529
80.1132391.06830.144139
90.1431031.350.090214
10-0.073364-0.69210.245333
11-0.079415-0.74920.227856
12-0.263781-2.48850.007345
13-0.065865-0.62140.267972
140.222172.09590.019463
15-0.017045-0.16080.436308
160.0064710.0610.475729
17-0.072141-0.68060.248954
180.0623630.58830.278898
190.1593711.50350.068125
200.0584110.5510.291491
210.1284431.21170.114412
22-0.030707-0.28970.386365
230.078640.74190.230055
24-0.165218-1.55870.061313
25-0.204306-1.92740.028559
26-0.169735-1.60130.056429
27-0.044755-0.42220.336943
28-0.118158-1.11470.13399
290.1234131.16430.123712
30-0.005463-0.05150.479506
310.034920.32940.371299
320.121221.14360.12793
330.0290640.27420.392288
340.0472370.44560.328471
350.007210.0680.472963
36-0.059723-0.56340.28728

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.017629 & 0.1663 & 0.434145 \tabularnewline
2 & 0.011951 & 0.1127 & 0.455242 \tabularnewline
3 & -0.019675 & -0.1856 & 0.426587 \tabularnewline
4 & 0.098314 & 0.9275 & 0.17809 \tabularnewline
5 & 0.062192 & 0.5867 & 0.279438 \tabularnewline
6 & 0.062625 & 0.5908 & 0.278075 \tabularnewline
7 & 0.045752 & 0.4316 & 0.333529 \tabularnewline
8 & 0.113239 & 1.0683 & 0.144139 \tabularnewline
9 & 0.143103 & 1.35 & 0.090214 \tabularnewline
10 & -0.073364 & -0.6921 & 0.245333 \tabularnewline
11 & -0.079415 & -0.7492 & 0.227856 \tabularnewline
12 & -0.263781 & -2.4885 & 0.007345 \tabularnewline
13 & -0.065865 & -0.6214 & 0.267972 \tabularnewline
14 & 0.22217 & 2.0959 & 0.019463 \tabularnewline
15 & -0.017045 & -0.1608 & 0.436308 \tabularnewline
16 & 0.006471 & 0.061 & 0.475729 \tabularnewline
17 & -0.072141 & -0.6806 & 0.248954 \tabularnewline
18 & 0.062363 & 0.5883 & 0.278898 \tabularnewline
19 & 0.159371 & 1.5035 & 0.068125 \tabularnewline
20 & 0.058411 & 0.551 & 0.291491 \tabularnewline
21 & 0.128443 & 1.2117 & 0.114412 \tabularnewline
22 & -0.030707 & -0.2897 & 0.386365 \tabularnewline
23 & 0.07864 & 0.7419 & 0.230055 \tabularnewline
24 & -0.165218 & -1.5587 & 0.061313 \tabularnewline
25 & -0.204306 & -1.9274 & 0.028559 \tabularnewline
26 & -0.169735 & -1.6013 & 0.056429 \tabularnewline
27 & -0.044755 & -0.4222 & 0.336943 \tabularnewline
28 & -0.118158 & -1.1147 & 0.13399 \tabularnewline
29 & 0.123413 & 1.1643 & 0.123712 \tabularnewline
30 & -0.005463 & -0.0515 & 0.479506 \tabularnewline
31 & 0.03492 & 0.3294 & 0.371299 \tabularnewline
32 & 0.12122 & 1.1436 & 0.12793 \tabularnewline
33 & 0.029064 & 0.2742 & 0.392288 \tabularnewline
34 & 0.047237 & 0.4456 & 0.328471 \tabularnewline
35 & 0.00721 & 0.068 & 0.472963 \tabularnewline
36 & -0.059723 & -0.5634 & 0.28728 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32757&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]0.017629[/C][C]0.1663[/C][C]0.434145[/C][/ROW]
[ROW][C]2[/C][C]0.011951[/C][C]0.1127[/C][C]0.455242[/C][/ROW]
[ROW][C]3[/C][C]-0.019675[/C][C]-0.1856[/C][C]0.426587[/C][/ROW]
[ROW][C]4[/C][C]0.098314[/C][C]0.9275[/C][C]0.17809[/C][/ROW]
[ROW][C]5[/C][C]0.062192[/C][C]0.5867[/C][C]0.279438[/C][/ROW]
[ROW][C]6[/C][C]0.062625[/C][C]0.5908[/C][C]0.278075[/C][/ROW]
[ROW][C]7[/C][C]0.045752[/C][C]0.4316[/C][C]0.333529[/C][/ROW]
[ROW][C]8[/C][C]0.113239[/C][C]1.0683[/C][C]0.144139[/C][/ROW]
[ROW][C]9[/C][C]0.143103[/C][C]1.35[/C][C]0.090214[/C][/ROW]
[ROW][C]10[/C][C]-0.073364[/C][C]-0.6921[/C][C]0.245333[/C][/ROW]
[ROW][C]11[/C][C]-0.079415[/C][C]-0.7492[/C][C]0.227856[/C][/ROW]
[ROW][C]12[/C][C]-0.263781[/C][C]-2.4885[/C][C]0.007345[/C][/ROW]
[ROW][C]13[/C][C]-0.065865[/C][C]-0.6214[/C][C]0.267972[/C][/ROW]
[ROW][C]14[/C][C]0.22217[/C][C]2.0959[/C][C]0.019463[/C][/ROW]
[ROW][C]15[/C][C]-0.017045[/C][C]-0.1608[/C][C]0.436308[/C][/ROW]
[ROW][C]16[/C][C]0.006471[/C][C]0.061[/C][C]0.475729[/C][/ROW]
[ROW][C]17[/C][C]-0.072141[/C][C]-0.6806[/C][C]0.248954[/C][/ROW]
[ROW][C]18[/C][C]0.062363[/C][C]0.5883[/C][C]0.278898[/C][/ROW]
[ROW][C]19[/C][C]0.159371[/C][C]1.5035[/C][C]0.068125[/C][/ROW]
[ROW][C]20[/C][C]0.058411[/C][C]0.551[/C][C]0.291491[/C][/ROW]
[ROW][C]21[/C][C]0.128443[/C][C]1.2117[/C][C]0.114412[/C][/ROW]
[ROW][C]22[/C][C]-0.030707[/C][C]-0.2897[/C][C]0.386365[/C][/ROW]
[ROW][C]23[/C][C]0.07864[/C][C]0.7419[/C][C]0.230055[/C][/ROW]
[ROW][C]24[/C][C]-0.165218[/C][C]-1.5587[/C][C]0.061313[/C][/ROW]
[ROW][C]25[/C][C]-0.204306[/C][C]-1.9274[/C][C]0.028559[/C][/ROW]
[ROW][C]26[/C][C]-0.169735[/C][C]-1.6013[/C][C]0.056429[/C][/ROW]
[ROW][C]27[/C][C]-0.044755[/C][C]-0.4222[/C][C]0.336943[/C][/ROW]
[ROW][C]28[/C][C]-0.118158[/C][C]-1.1147[/C][C]0.13399[/C][/ROW]
[ROW][C]29[/C][C]0.123413[/C][C]1.1643[/C][C]0.123712[/C][/ROW]
[ROW][C]30[/C][C]-0.005463[/C][C]-0.0515[/C][C]0.479506[/C][/ROW]
[ROW][C]31[/C][C]0.03492[/C][C]0.3294[/C][C]0.371299[/C][/ROW]
[ROW][C]32[/C][C]0.12122[/C][C]1.1436[/C][C]0.12793[/C][/ROW]
[ROW][C]33[/C][C]0.029064[/C][C]0.2742[/C][C]0.392288[/C][/ROW]
[ROW][C]34[/C][C]0.047237[/C][C]0.4456[/C][C]0.328471[/C][/ROW]
[ROW][C]35[/C][C]0.00721[/C][C]0.068[/C][C]0.472963[/C][/ROW]
[ROW][C]36[/C][C]-0.059723[/C][C]-0.5634[/C][C]0.28728[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32757&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32757&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
10.0176290.16630.434145
20.0119510.11270.455242
3-0.019675-0.18560.426587
40.0983140.92750.17809
50.0621920.58670.279438
60.0626250.59080.278075
70.0457520.43160.333529
80.1132391.06830.144139
90.1431031.350.090214
10-0.073364-0.69210.245333
11-0.079415-0.74920.227856
12-0.263781-2.48850.007345
13-0.065865-0.62140.267972
140.222172.09590.019463
15-0.017045-0.16080.436308
160.0064710.0610.475729
17-0.072141-0.68060.248954
180.0623630.58830.278898
190.1593711.50350.068125
200.0584110.5510.291491
210.1284431.21170.114412
22-0.030707-0.28970.386365
230.078640.74190.230055
24-0.165218-1.55870.061313
25-0.204306-1.92740.028559
26-0.169735-1.60130.056429
27-0.044755-0.42220.336943
28-0.118158-1.11470.13399
290.1234131.16430.123712
30-0.005463-0.05150.479506
310.034920.32940.371299
320.121221.14360.12793
330.0290640.27420.392288
340.0472370.44560.328471
350.007210.0680.472963
36-0.059723-0.56340.28728


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1.5 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 36 ; par2 = 1.5 ; par3 = 1 ; par4 = 1 ; 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')