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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, 29 Dec 2010 13:23:41 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/29/t1293628967b7ik095vauqa9no.htm/, Retrieved Fri, 03 May 2024 08:16:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116805, Retrieved Fri, 03 May 2024 08:16:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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] [ACF met d=1=D Wer...] [2010-12-28 10:54:16] [ed447cc2ebcc70947ad11d93fa385845]
-    D    [(Partial) Autocorrelation Function] [] [2010-12-29 13:23:41] [e8bffe463cbaa638f5c41694f8d1de39] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
548604
563668
586111
604378
600991
544686
537034
551531
563250
574761
580112
575093
557560
564478
580523
596594
586570
536214
523597
536535
536322
532638
528222
516141
501866
506174
517945
533590
528379
477580
469357
490243
492622
507561
516922
514258
509846
527070
541657
564591
555362
498662
511038
525919
531673
548854
560576
557274
565742

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 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 & 10 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116805&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]10 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=116805&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116805&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 time10 seconds
R Server'George Udny Yule' @ 72.249.76.132






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3453922.07240.022726
20.4131952.47920.008994
30.3725222.23510.015852
40.1937341.16240.12636
50.2244821.34690.093217
60.2790431.67430.051374
70.0779920.4680.32132
80.0328550.19710.422418
90.1371510.82290.20799
10-0.170403-1.02240.156702
11-0.051001-0.3060.380682
12-0.171445-1.02870.155248
13-0.220577-1.32350.097013
14-0.129256-0.77550.221543
15-0.158985-0.95390.173245
16-0.201944-1.21170.116768
17-0.169842-1.01910.157488
18-0.074821-0.44890.328089
19-0.16996-1.01980.157324
20-0.10243-0.61460.271348
21-0.197485-1.18490.121908
22-0.134948-0.80970.211719
23-0.106565-0.63940.263309
24-0.100746-0.60450.274659
250.0160710.09640.461859
26-0.122572-0.73540.23342
27-0.027596-0.16560.434708
28-0.08944-0.53660.297408
29-0.063366-0.38020.353016
30-0.016226-0.09740.461492
310.0156380.09380.462883
32-0.041275-0.24770.402906
33-0.014366-0.08620.465894
34-0.028615-0.17170.432322
35-0.044208-0.26520.396165
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.345392 & 2.0724 & 0.022726 \tabularnewline
2 & 0.413195 & 2.4792 & 0.008994 \tabularnewline
3 & 0.372522 & 2.2351 & 0.015852 \tabularnewline
4 & 0.193734 & 1.1624 & 0.12636 \tabularnewline
5 & 0.224482 & 1.3469 & 0.093217 \tabularnewline
6 & 0.279043 & 1.6743 & 0.051374 \tabularnewline
7 & 0.077992 & 0.468 & 0.32132 \tabularnewline
8 & 0.032855 & 0.1971 & 0.422418 \tabularnewline
9 & 0.137151 & 0.8229 & 0.20799 \tabularnewline
10 & -0.170403 & -1.0224 & 0.156702 \tabularnewline
11 & -0.051001 & -0.306 & 0.380682 \tabularnewline
12 & -0.171445 & -1.0287 & 0.155248 \tabularnewline
13 & -0.220577 & -1.3235 & 0.097013 \tabularnewline
14 & -0.129256 & -0.7755 & 0.221543 \tabularnewline
15 & -0.158985 & -0.9539 & 0.173245 \tabularnewline
16 & -0.201944 & -1.2117 & 0.116768 \tabularnewline
17 & -0.169842 & -1.0191 & 0.157488 \tabularnewline
18 & -0.074821 & -0.4489 & 0.328089 \tabularnewline
19 & -0.16996 & -1.0198 & 0.157324 \tabularnewline
20 & -0.10243 & -0.6146 & 0.271348 \tabularnewline
21 & -0.197485 & -1.1849 & 0.121908 \tabularnewline
22 & -0.134948 & -0.8097 & 0.211719 \tabularnewline
23 & -0.106565 & -0.6394 & 0.263309 \tabularnewline
24 & -0.100746 & -0.6045 & 0.274659 \tabularnewline
25 & 0.016071 & 0.0964 & 0.461859 \tabularnewline
26 & -0.122572 & -0.7354 & 0.23342 \tabularnewline
27 & -0.027596 & -0.1656 & 0.434708 \tabularnewline
28 & -0.08944 & -0.5366 & 0.297408 \tabularnewline
29 & -0.063366 & -0.3802 & 0.353016 \tabularnewline
30 & -0.016226 & -0.0974 & 0.461492 \tabularnewline
31 & 0.015638 & 0.0938 & 0.462883 \tabularnewline
32 & -0.041275 & -0.2477 & 0.402906 \tabularnewline
33 & -0.014366 & -0.0862 & 0.465894 \tabularnewline
34 & -0.028615 & -0.1717 & 0.432322 \tabularnewline
35 & -0.044208 & -0.2652 & 0.396165 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116805&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]0.345392[/C][C]2.0724[/C][C]0.022726[/C][/ROW]
[ROW][C]2[/C][C]0.413195[/C][C]2.4792[/C][C]0.008994[/C][/ROW]
[ROW][C]3[/C][C]0.372522[/C][C]2.2351[/C][C]0.015852[/C][/ROW]
[ROW][C]4[/C][C]0.193734[/C][C]1.1624[/C][C]0.12636[/C][/ROW]
[ROW][C]5[/C][C]0.224482[/C][C]1.3469[/C][C]0.093217[/C][/ROW]
[ROW][C]6[/C][C]0.279043[/C][C]1.6743[/C][C]0.051374[/C][/ROW]
[ROW][C]7[/C][C]0.077992[/C][C]0.468[/C][C]0.32132[/C][/ROW]
[ROW][C]8[/C][C]0.032855[/C][C]0.1971[/C][C]0.422418[/C][/ROW]
[ROW][C]9[/C][C]0.137151[/C][C]0.8229[/C][C]0.20799[/C][/ROW]
[ROW][C]10[/C][C]-0.170403[/C][C]-1.0224[/C][C]0.156702[/C][/ROW]
[ROW][C]11[/C][C]-0.051001[/C][C]-0.306[/C][C]0.380682[/C][/ROW]
[ROW][C]12[/C][C]-0.171445[/C][C]-1.0287[/C][C]0.155248[/C][/ROW]
[ROW][C]13[/C][C]-0.220577[/C][C]-1.3235[/C][C]0.097013[/C][/ROW]
[ROW][C]14[/C][C]-0.129256[/C][C]-0.7755[/C][C]0.221543[/C][/ROW]
[ROW][C]15[/C][C]-0.158985[/C][C]-0.9539[/C][C]0.173245[/C][/ROW]
[ROW][C]16[/C][C]-0.201944[/C][C]-1.2117[/C][C]0.116768[/C][/ROW]
[ROW][C]17[/C][C]-0.169842[/C][C]-1.0191[/C][C]0.157488[/C][/ROW]
[ROW][C]18[/C][C]-0.074821[/C][C]-0.4489[/C][C]0.328089[/C][/ROW]
[ROW][C]19[/C][C]-0.16996[/C][C]-1.0198[/C][C]0.157324[/C][/ROW]
[ROW][C]20[/C][C]-0.10243[/C][C]-0.6146[/C][C]0.271348[/C][/ROW]
[ROW][C]21[/C][C]-0.197485[/C][C]-1.1849[/C][C]0.121908[/C][/ROW]
[ROW][C]22[/C][C]-0.134948[/C][C]-0.8097[/C][C]0.211719[/C][/ROW]
[ROW][C]23[/C][C]-0.106565[/C][C]-0.6394[/C][C]0.263309[/C][/ROW]
[ROW][C]24[/C][C]-0.100746[/C][C]-0.6045[/C][C]0.274659[/C][/ROW]
[ROW][C]25[/C][C]0.016071[/C][C]0.0964[/C][C]0.461859[/C][/ROW]
[ROW][C]26[/C][C]-0.122572[/C][C]-0.7354[/C][C]0.23342[/C][/ROW]
[ROW][C]27[/C][C]-0.027596[/C][C]-0.1656[/C][C]0.434708[/C][/ROW]
[ROW][C]28[/C][C]-0.08944[/C][C]-0.5366[/C][C]0.297408[/C][/ROW]
[ROW][C]29[/C][C]-0.063366[/C][C]-0.3802[/C][C]0.353016[/C][/ROW]
[ROW][C]30[/C][C]-0.016226[/C][C]-0.0974[/C][C]0.461492[/C][/ROW]
[ROW][C]31[/C][C]0.015638[/C][C]0.0938[/C][C]0.462883[/C][/ROW]
[ROW][C]32[/C][C]-0.041275[/C][C]-0.2477[/C][C]0.402906[/C][/ROW]
[ROW][C]33[/C][C]-0.014366[/C][C]-0.0862[/C][C]0.465894[/C][/ROW]
[ROW][C]34[/C][C]-0.028615[/C][C]-0.1717[/C][C]0.432322[/C][/ROW]
[ROW][C]35[/C][C]-0.044208[/C][C]-0.2652[/C][C]0.396165[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116805&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116805&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
10.3453922.07240.022726
20.4131952.47920.008994
30.3725222.23510.015852
40.1937341.16240.12636
50.2244821.34690.093217
60.2790431.67430.051374
70.0779920.4680.32132
80.0328550.19710.422418
90.1371510.82290.20799
10-0.170403-1.02240.156702
11-0.051001-0.3060.380682
12-0.171445-1.02870.155248
13-0.220577-1.32350.097013
14-0.129256-0.77550.221543
15-0.158985-0.95390.173245
16-0.201944-1.21170.116768
17-0.169842-1.01910.157488
18-0.074821-0.44890.328089
19-0.16996-1.01980.157324
20-0.10243-0.61460.271348
21-0.197485-1.18490.121908
22-0.134948-0.80970.211719
23-0.106565-0.63940.263309
24-0.100746-0.60450.274659
250.0160710.09640.461859
26-0.122572-0.73540.23342
27-0.027596-0.16560.434708
28-0.08944-0.53660.297408
29-0.063366-0.38020.353016
30-0.016226-0.09740.461492
310.0156380.09380.462883
32-0.041275-0.24770.402906
33-0.014366-0.08620.465894
34-0.028615-0.17170.432322
35-0.044208-0.26520.396165
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3453922.07240.022726
20.333712.00230.026417
30.2072151.24330.110899
4-0.074749-0.44850.328242
50.0147740.08860.464927
60.170721.02430.156259
7-0.112006-0.6720.252926
8-0.186732-1.12040.134982
90.115610.69370.246173
10-0.22408-1.34450.093602
11-0.070656-0.42390.337068
12-0.148113-0.88870.190038
13-0.025114-0.15070.440532
140.0674760.40490.34399
15-0.026567-0.15940.437121
16-0.005788-0.03470.486245
17-0.019757-0.11850.453149
180.1379220.82750.206694
190.0029350.01760.493023
20-0.140463-0.84280.202458
21-0.139423-0.83650.204186
220.0223930.13440.446934
23-0.018869-0.11320.455246
24-0.083954-0.50370.308762
250.1287210.77230.222481
26-0.091932-0.55160.292318
27-0.015169-0.0910.463994
28-0.065215-0.39130.348944
29-0.013206-0.07920.468641
300.1150080.69010.247294
31-0.004106-0.02460.49024
32-0.088634-0.53180.299064
33-0.092036-0.55220.292107
34-0.064976-0.38990.34947
350.0977250.58630.28065
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.345392 & 2.0724 & 0.022726 \tabularnewline
2 & 0.33371 & 2.0023 & 0.026417 \tabularnewline
3 & 0.207215 & 1.2433 & 0.110899 \tabularnewline
4 & -0.074749 & -0.4485 & 0.328242 \tabularnewline
5 & 0.014774 & 0.0886 & 0.464927 \tabularnewline
6 & 0.17072 & 1.0243 & 0.156259 \tabularnewline
7 & -0.112006 & -0.672 & 0.252926 \tabularnewline
8 & -0.186732 & -1.1204 & 0.134982 \tabularnewline
9 & 0.11561 & 0.6937 & 0.246173 \tabularnewline
10 & -0.22408 & -1.3445 & 0.093602 \tabularnewline
11 & -0.070656 & -0.4239 & 0.337068 \tabularnewline
12 & -0.148113 & -0.8887 & 0.190038 \tabularnewline
13 & -0.025114 & -0.1507 & 0.440532 \tabularnewline
14 & 0.067476 & 0.4049 & 0.34399 \tabularnewline
15 & -0.026567 & -0.1594 & 0.437121 \tabularnewline
16 & -0.005788 & -0.0347 & 0.486245 \tabularnewline
17 & -0.019757 & -0.1185 & 0.453149 \tabularnewline
18 & 0.137922 & 0.8275 & 0.206694 \tabularnewline
19 & 0.002935 & 0.0176 & 0.493023 \tabularnewline
20 & -0.140463 & -0.8428 & 0.202458 \tabularnewline
21 & -0.139423 & -0.8365 & 0.204186 \tabularnewline
22 & 0.022393 & 0.1344 & 0.446934 \tabularnewline
23 & -0.018869 & -0.1132 & 0.455246 \tabularnewline
24 & -0.083954 & -0.5037 & 0.308762 \tabularnewline
25 & 0.128721 & 0.7723 & 0.222481 \tabularnewline
26 & -0.091932 & -0.5516 & 0.292318 \tabularnewline
27 & -0.015169 & -0.091 & 0.463994 \tabularnewline
28 & -0.065215 & -0.3913 & 0.348944 \tabularnewline
29 & -0.013206 & -0.0792 & 0.468641 \tabularnewline
30 & 0.115008 & 0.6901 & 0.247294 \tabularnewline
31 & -0.004106 & -0.0246 & 0.49024 \tabularnewline
32 & -0.088634 & -0.5318 & 0.299064 \tabularnewline
33 & -0.092036 & -0.5522 & 0.292107 \tabularnewline
34 & -0.064976 & -0.3899 & 0.34947 \tabularnewline
35 & 0.097725 & 0.5863 & 0.28065 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116805&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]0.345392[/C][C]2.0724[/C][C]0.022726[/C][/ROW]
[ROW][C]2[/C][C]0.33371[/C][C]2.0023[/C][C]0.026417[/C][/ROW]
[ROW][C]3[/C][C]0.207215[/C][C]1.2433[/C][C]0.110899[/C][/ROW]
[ROW][C]4[/C][C]-0.074749[/C][C]-0.4485[/C][C]0.328242[/C][/ROW]
[ROW][C]5[/C][C]0.014774[/C][C]0.0886[/C][C]0.464927[/C][/ROW]
[ROW][C]6[/C][C]0.17072[/C][C]1.0243[/C][C]0.156259[/C][/ROW]
[ROW][C]7[/C][C]-0.112006[/C][C]-0.672[/C][C]0.252926[/C][/ROW]
[ROW][C]8[/C][C]-0.186732[/C][C]-1.1204[/C][C]0.134982[/C][/ROW]
[ROW][C]9[/C][C]0.11561[/C][C]0.6937[/C][C]0.246173[/C][/ROW]
[ROW][C]10[/C][C]-0.22408[/C][C]-1.3445[/C][C]0.093602[/C][/ROW]
[ROW][C]11[/C][C]-0.070656[/C][C]-0.4239[/C][C]0.337068[/C][/ROW]
[ROW][C]12[/C][C]-0.148113[/C][C]-0.8887[/C][C]0.190038[/C][/ROW]
[ROW][C]13[/C][C]-0.025114[/C][C]-0.1507[/C][C]0.440532[/C][/ROW]
[ROW][C]14[/C][C]0.067476[/C][C]0.4049[/C][C]0.34399[/C][/ROW]
[ROW][C]15[/C][C]-0.026567[/C][C]-0.1594[/C][C]0.437121[/C][/ROW]
[ROW][C]16[/C][C]-0.005788[/C][C]-0.0347[/C][C]0.486245[/C][/ROW]
[ROW][C]17[/C][C]-0.019757[/C][C]-0.1185[/C][C]0.453149[/C][/ROW]
[ROW][C]18[/C][C]0.137922[/C][C]0.8275[/C][C]0.206694[/C][/ROW]
[ROW][C]19[/C][C]0.002935[/C][C]0.0176[/C][C]0.493023[/C][/ROW]
[ROW][C]20[/C][C]-0.140463[/C][C]-0.8428[/C][C]0.202458[/C][/ROW]
[ROW][C]21[/C][C]-0.139423[/C][C]-0.8365[/C][C]0.204186[/C][/ROW]
[ROW][C]22[/C][C]0.022393[/C][C]0.1344[/C][C]0.446934[/C][/ROW]
[ROW][C]23[/C][C]-0.018869[/C][C]-0.1132[/C][C]0.455246[/C][/ROW]
[ROW][C]24[/C][C]-0.083954[/C][C]-0.5037[/C][C]0.308762[/C][/ROW]
[ROW][C]25[/C][C]0.128721[/C][C]0.7723[/C][C]0.222481[/C][/ROW]
[ROW][C]26[/C][C]-0.091932[/C][C]-0.5516[/C][C]0.292318[/C][/ROW]
[ROW][C]27[/C][C]-0.015169[/C][C]-0.091[/C][C]0.463994[/C][/ROW]
[ROW][C]28[/C][C]-0.065215[/C][C]-0.3913[/C][C]0.348944[/C][/ROW]
[ROW][C]29[/C][C]-0.013206[/C][C]-0.0792[/C][C]0.468641[/C][/ROW]
[ROW][C]30[/C][C]0.115008[/C][C]0.6901[/C][C]0.247294[/C][/ROW]
[ROW][C]31[/C][C]-0.004106[/C][C]-0.0246[/C][C]0.49024[/C][/ROW]
[ROW][C]32[/C][C]-0.088634[/C][C]-0.5318[/C][C]0.299064[/C][/ROW]
[ROW][C]33[/C][C]-0.092036[/C][C]-0.5522[/C][C]0.292107[/C][/ROW]
[ROW][C]34[/C][C]-0.064976[/C][C]-0.3899[/C][C]0.34947[/C][/ROW]
[ROW][C]35[/C][C]0.097725[/C][C]0.5863[/C][C]0.28065[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116805&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116805&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
10.3453922.07240.022726
20.333712.00230.026417
30.2072151.24330.110899
4-0.074749-0.44850.328242
50.0147740.08860.464927
60.170721.02430.156259
7-0.112006-0.6720.252926
8-0.186732-1.12040.134982
90.115610.69370.246173
10-0.22408-1.34450.093602
11-0.070656-0.42390.337068
12-0.148113-0.88870.190038
13-0.025114-0.15070.440532
140.0674760.40490.34399
15-0.026567-0.15940.437121
16-0.005788-0.03470.486245
17-0.019757-0.11850.453149
180.1379220.82750.206694
190.0029350.01760.493023
20-0.140463-0.84280.202458
21-0.139423-0.83650.204186
220.0223930.13440.446934
23-0.018869-0.11320.455246
24-0.083954-0.50370.308762
250.1287210.77230.222481
26-0.091932-0.55160.292318
27-0.015169-0.0910.463994
28-0.065215-0.39130.348944
29-0.013206-0.07920.468641
300.1150080.69010.247294
31-0.004106-0.02460.49024
32-0.088634-0.53180.299064
33-0.092036-0.55220.292107
34-0.064976-0.38990.34947
350.0977250.58630.28065
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')