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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 22 Dec 2007 15:39:52 -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/2007/Dec/22/t1198362139wed9rjaz3yv7kaf.htm/, Retrieved Sun, 05 May 2024 04:56:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4833, Retrieved Sun, 05 May 2024 04:56:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact290
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorrelatie la...] [2007-12-15 11:59:18] [ac43070f252ecb0e957ff7a950840d09]
-   PD    [(Partial) Autocorrelation Function] [ACF TIJDREEKS 1 V...] [2007-12-22 22:39:52] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4833&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4833&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4833&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
10.4795223.32220.000857
20.3024992.09580.0207
30.0429630.29770.383624
4-0.054453-0.37730.646179
5-0.05139-0.3560.638315
60.0096080.06660.473603
70.006720.04660.481529
80.0571070.39560.347059
90.0536350.37160.355916
10-0.254663-1.76440.957983
11-0.406716-2.81780.996499
12-0.462853-3.20670.998805
13-0.355694-2.46430.99132
14-0.130885-0.90680.815478
150.0050840.03520.486023
160.0215820.14950.440883
170.0219350.1520.439924
180.0171630.11890.452922
19-0.11989-0.83060.79485
20-0.028389-0.19670.577546
210.0248370.17210.432051
220.1175470.81440.209722
230.3210882.22460.015423
240.2265031.56930.061579
250.2342271.62280.055594
260.1174250.81350.209962
270.031190.21610.414916
28-0.086489-0.59920.724076
290.0364480.25250.400859
300.0011940.00830.496717
310.0704550.48810.313842
320.0396440.27470.392378
33-0.040469-0.28040.609804
34-0.095802-0.66370.744982
35-0.143795-0.99620.837935
36-0.197291-1.36690.910983
37-0.186567-1.29260.898827
38-0.076822-0.53220.701492
39-0.066082-0.45780.675429
400.0030730.02130.491551
410.0149390.10350.458998
42-0.01528-0.10590.541933
430.0103960.0720.471441
44-0.006167-0.04270.51695
45-0.004448-0.03080.512229
460.0120520.08350.466902
470.0053090.03680.485406
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.479522 & 3.3222 & 0.000857 \tabularnewline
2 & 0.302499 & 2.0958 & 0.0207 \tabularnewline
3 & 0.042963 & 0.2977 & 0.383624 \tabularnewline
4 & -0.054453 & -0.3773 & 0.646179 \tabularnewline
5 & -0.05139 & -0.356 & 0.638315 \tabularnewline
6 & 0.009608 & 0.0666 & 0.473603 \tabularnewline
7 & 0.00672 & 0.0466 & 0.481529 \tabularnewline
8 & 0.057107 & 0.3956 & 0.347059 \tabularnewline
9 & 0.053635 & 0.3716 & 0.355916 \tabularnewline
10 & -0.254663 & -1.7644 & 0.957983 \tabularnewline
11 & -0.406716 & -2.8178 & 0.996499 \tabularnewline
12 & -0.462853 & -3.2067 & 0.998805 \tabularnewline
13 & -0.355694 & -2.4643 & 0.99132 \tabularnewline
14 & -0.130885 & -0.9068 & 0.815478 \tabularnewline
15 & 0.005084 & 0.0352 & 0.486023 \tabularnewline
16 & 0.021582 & 0.1495 & 0.440883 \tabularnewline
17 & 0.021935 & 0.152 & 0.439924 \tabularnewline
18 & 0.017163 & 0.1189 & 0.452922 \tabularnewline
19 & -0.11989 & -0.8306 & 0.79485 \tabularnewline
20 & -0.028389 & -0.1967 & 0.577546 \tabularnewline
21 & 0.024837 & 0.1721 & 0.432051 \tabularnewline
22 & 0.117547 & 0.8144 & 0.209722 \tabularnewline
23 & 0.321088 & 2.2246 & 0.015423 \tabularnewline
24 & 0.226503 & 1.5693 & 0.061579 \tabularnewline
25 & 0.234227 & 1.6228 & 0.055594 \tabularnewline
26 & 0.117425 & 0.8135 & 0.209962 \tabularnewline
27 & 0.03119 & 0.2161 & 0.414916 \tabularnewline
28 & -0.086489 & -0.5992 & 0.724076 \tabularnewline
29 & 0.036448 & 0.2525 & 0.400859 \tabularnewline
30 & 0.001194 & 0.0083 & 0.496717 \tabularnewline
31 & 0.070455 & 0.4881 & 0.313842 \tabularnewline
32 & 0.039644 & 0.2747 & 0.392378 \tabularnewline
33 & -0.040469 & -0.2804 & 0.609804 \tabularnewline
34 & -0.095802 & -0.6637 & 0.744982 \tabularnewline
35 & -0.143795 & -0.9962 & 0.837935 \tabularnewline
36 & -0.197291 & -1.3669 & 0.910983 \tabularnewline
37 & -0.186567 & -1.2926 & 0.898827 \tabularnewline
38 & -0.076822 & -0.5322 & 0.701492 \tabularnewline
39 & -0.066082 & -0.4578 & 0.675429 \tabularnewline
40 & 0.003073 & 0.0213 & 0.491551 \tabularnewline
41 & 0.014939 & 0.1035 & 0.458998 \tabularnewline
42 & -0.01528 & -0.1059 & 0.541933 \tabularnewline
43 & 0.010396 & 0.072 & 0.471441 \tabularnewline
44 & -0.006167 & -0.0427 & 0.51695 \tabularnewline
45 & -0.004448 & -0.0308 & 0.512229 \tabularnewline
46 & 0.012052 & 0.0835 & 0.466902 \tabularnewline
47 & 0.005309 & 0.0368 & 0.485406 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4833&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.479522[/C][C]3.3222[/C][C]0.000857[/C][/ROW]
[ROW][C]2[/C][C]0.302499[/C][C]2.0958[/C][C]0.0207[/C][/ROW]
[ROW][C]3[/C][C]0.042963[/C][C]0.2977[/C][C]0.383624[/C][/ROW]
[ROW][C]4[/C][C]-0.054453[/C][C]-0.3773[/C][C]0.646179[/C][/ROW]
[ROW][C]5[/C][C]-0.05139[/C][C]-0.356[/C][C]0.638315[/C][/ROW]
[ROW][C]6[/C][C]0.009608[/C][C]0.0666[/C][C]0.473603[/C][/ROW]
[ROW][C]7[/C][C]0.00672[/C][C]0.0466[/C][C]0.481529[/C][/ROW]
[ROW][C]8[/C][C]0.057107[/C][C]0.3956[/C][C]0.347059[/C][/ROW]
[ROW][C]9[/C][C]0.053635[/C][C]0.3716[/C][C]0.355916[/C][/ROW]
[ROW][C]10[/C][C]-0.254663[/C][C]-1.7644[/C][C]0.957983[/C][/ROW]
[ROW][C]11[/C][C]-0.406716[/C][C]-2.8178[/C][C]0.996499[/C][/ROW]
[ROW][C]12[/C][C]-0.462853[/C][C]-3.2067[/C][C]0.998805[/C][/ROW]
[ROW][C]13[/C][C]-0.355694[/C][C]-2.4643[/C][C]0.99132[/C][/ROW]
[ROW][C]14[/C][C]-0.130885[/C][C]-0.9068[/C][C]0.815478[/C][/ROW]
[ROW][C]15[/C][C]0.005084[/C][C]0.0352[/C][C]0.486023[/C][/ROW]
[ROW][C]16[/C][C]0.021582[/C][C]0.1495[/C][C]0.440883[/C][/ROW]
[ROW][C]17[/C][C]0.021935[/C][C]0.152[/C][C]0.439924[/C][/ROW]
[ROW][C]18[/C][C]0.017163[/C][C]0.1189[/C][C]0.452922[/C][/ROW]
[ROW][C]19[/C][C]-0.11989[/C][C]-0.8306[/C][C]0.79485[/C][/ROW]
[ROW][C]20[/C][C]-0.028389[/C][C]-0.1967[/C][C]0.577546[/C][/ROW]
[ROW][C]21[/C][C]0.024837[/C][C]0.1721[/C][C]0.432051[/C][/ROW]
[ROW][C]22[/C][C]0.117547[/C][C]0.8144[/C][C]0.209722[/C][/ROW]
[ROW][C]23[/C][C]0.321088[/C][C]2.2246[/C][C]0.015423[/C][/ROW]
[ROW][C]24[/C][C]0.226503[/C][C]1.5693[/C][C]0.061579[/C][/ROW]
[ROW][C]25[/C][C]0.234227[/C][C]1.6228[/C][C]0.055594[/C][/ROW]
[ROW][C]26[/C][C]0.117425[/C][C]0.8135[/C][C]0.209962[/C][/ROW]
[ROW][C]27[/C][C]0.03119[/C][C]0.2161[/C][C]0.414916[/C][/ROW]
[ROW][C]28[/C][C]-0.086489[/C][C]-0.5992[/C][C]0.724076[/C][/ROW]
[ROW][C]29[/C][C]0.036448[/C][C]0.2525[/C][C]0.400859[/C][/ROW]
[ROW][C]30[/C][C]0.001194[/C][C]0.0083[/C][C]0.496717[/C][/ROW]
[ROW][C]31[/C][C]0.070455[/C][C]0.4881[/C][C]0.313842[/C][/ROW]
[ROW][C]32[/C][C]0.039644[/C][C]0.2747[/C][C]0.392378[/C][/ROW]
[ROW][C]33[/C][C]-0.040469[/C][C]-0.2804[/C][C]0.609804[/C][/ROW]
[ROW][C]34[/C][C]-0.095802[/C][C]-0.6637[/C][C]0.744982[/C][/ROW]
[ROW][C]35[/C][C]-0.143795[/C][C]-0.9962[/C][C]0.837935[/C][/ROW]
[ROW][C]36[/C][C]-0.197291[/C][C]-1.3669[/C][C]0.910983[/C][/ROW]
[ROW][C]37[/C][C]-0.186567[/C][C]-1.2926[/C][C]0.898827[/C][/ROW]
[ROW][C]38[/C][C]-0.076822[/C][C]-0.5322[/C][C]0.701492[/C][/ROW]
[ROW][C]39[/C][C]-0.066082[/C][C]-0.4578[/C][C]0.675429[/C][/ROW]
[ROW][C]40[/C][C]0.003073[/C][C]0.0213[/C][C]0.491551[/C][/ROW]
[ROW][C]41[/C][C]0.014939[/C][C]0.1035[/C][C]0.458998[/C][/ROW]
[ROW][C]42[/C][C]-0.01528[/C][C]-0.1059[/C][C]0.541933[/C][/ROW]
[ROW][C]43[/C][C]0.010396[/C][C]0.072[/C][C]0.471441[/C][/ROW]
[ROW][C]44[/C][C]-0.006167[/C][C]-0.0427[/C][C]0.51695[/C][/ROW]
[ROW][C]45[/C][C]-0.004448[/C][C]-0.0308[/C][C]0.512229[/C][/ROW]
[ROW][C]46[/C][C]0.012052[/C][C]0.0835[/C][C]0.466902[/C][/ROW]
[ROW][C]47[/C][C]0.005309[/C][C]0.0368[/C][C]0.485406[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4833&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4833&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 kACF(k)T-STATP-value
016.92820
10.4795223.32220.000857
20.3024992.09580.0207
30.0429630.29770.383624
4-0.054453-0.37730.646179
5-0.05139-0.3560.638315
60.0096080.06660.473603
70.006720.04660.481529
80.0571070.39560.347059
90.0536350.37160.355916
10-0.254663-1.76440.957983
11-0.406716-2.81780.996499
12-0.462853-3.20670.998805
13-0.355694-2.46430.99132
14-0.130885-0.90680.815478
150.0050840.03520.486023
160.0215820.14950.440883
170.0219350.1520.439924
180.0171630.11890.452922
19-0.11989-0.83060.79485
20-0.028389-0.19670.577546
210.0248370.17210.432051
220.1175470.81440.209722
230.3210882.22460.015423
240.2265031.56930.061579
250.2342271.62280.055594
260.1174250.81350.209962
270.031190.21610.414916
28-0.086489-0.59920.724076
290.0364480.25250.400859
300.0011940.00830.496717
310.0704550.48810.313842
320.0396440.27470.392378
33-0.040469-0.28040.609804
34-0.095802-0.66370.744982
35-0.143795-0.99620.837935
36-0.197291-1.36690.910983
37-0.186567-1.29260.898827
38-0.076822-0.53220.701492
39-0.066082-0.45780.675429
400.0030730.02130.491551
410.0149390.10350.458998
42-0.01528-0.10590.541933
430.0103960.0720.471441
44-0.006167-0.04270.51695
45-0.004448-0.03080.512229
460.0120520.08350.466902
470.0053090.03680.485406
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.4795223.32220.000857
10.0942250.65280.258498
2-0.175056-1.21280.884434
3-0.055934-0.38750.649959
40.0502360.3480.364664
50.0665740.46120.323357
6-0.040941-0.28360.611049
70.0437770.30330.381489
80.0268290.18590.426662
9-0.412521-2.8580.996857
10-0.275766-1.91060.968978
11-0.073763-0.5110.69417
12-0.00124-0.00860.503409
130.0786130.54460.29426
140.022120.15330.439421
15-0.056242-0.38970.650743
16-0.067708-0.46910.679436
170.0409340.28360.388969
18-0.070971-0.49170.687415
190.1000620.69330.245746
200.0279620.19370.423603
21-0.12399-0.8590.802702
220.1044120.72340.236476
23-0.111485-0.77240.778166
240.1424150.98670.164374
250.0486550.33710.368758
26-0.047462-0.32880.62814
27-0.102547-0.71050.759574
280.0792090.54880.292851
29-0.013752-0.09530.537754
300.0212580.14730.441764
31-0.033342-0.2310.590852
320.0400410.27740.391328
33-0.018621-0.1290.551056
34-0.030682-0.21260.58372
35-0.013447-0.09320.536918
360.0002730.00190.499249
37-0.017275-0.11970.547383
38-0.053549-0.3710.643865
390.0001037e-040.499717
400.0419350.29050.386329
410.0805210.55790.289765
42-0.026098-0.18080.571361
43-0.04166-0.28860.612946
44-0.011737-0.08130.532236
45-0.088502-0.61320.728666
46-0.115156-0.79780.785548
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.479522 & 3.3222 & 0.000857 \tabularnewline
1 & 0.094225 & 0.6528 & 0.258498 \tabularnewline
2 & -0.175056 & -1.2128 & 0.884434 \tabularnewline
3 & -0.055934 & -0.3875 & 0.649959 \tabularnewline
4 & 0.050236 & 0.348 & 0.364664 \tabularnewline
5 & 0.066574 & 0.4612 & 0.323357 \tabularnewline
6 & -0.040941 & -0.2836 & 0.611049 \tabularnewline
7 & 0.043777 & 0.3033 & 0.381489 \tabularnewline
8 & 0.026829 & 0.1859 & 0.426662 \tabularnewline
9 & -0.412521 & -2.858 & 0.996857 \tabularnewline
10 & -0.275766 & -1.9106 & 0.968978 \tabularnewline
11 & -0.073763 & -0.511 & 0.69417 \tabularnewline
12 & -0.00124 & -0.0086 & 0.503409 \tabularnewline
13 & 0.078613 & 0.5446 & 0.29426 \tabularnewline
14 & 0.02212 & 0.1533 & 0.439421 \tabularnewline
15 & -0.056242 & -0.3897 & 0.650743 \tabularnewline
16 & -0.067708 & -0.4691 & 0.679436 \tabularnewline
17 & 0.040934 & 0.2836 & 0.388969 \tabularnewline
18 & -0.070971 & -0.4917 & 0.687415 \tabularnewline
19 & 0.100062 & 0.6933 & 0.245746 \tabularnewline
20 & 0.027962 & 0.1937 & 0.423603 \tabularnewline
21 & -0.12399 & -0.859 & 0.802702 \tabularnewline
22 & 0.104412 & 0.7234 & 0.236476 \tabularnewline
23 & -0.111485 & -0.7724 & 0.778166 \tabularnewline
24 & 0.142415 & 0.9867 & 0.164374 \tabularnewline
25 & 0.048655 & 0.3371 & 0.368758 \tabularnewline
26 & -0.047462 & -0.3288 & 0.62814 \tabularnewline
27 & -0.102547 & -0.7105 & 0.759574 \tabularnewline
28 & 0.079209 & 0.5488 & 0.292851 \tabularnewline
29 & -0.013752 & -0.0953 & 0.537754 \tabularnewline
30 & 0.021258 & 0.1473 & 0.441764 \tabularnewline
31 & -0.033342 & -0.231 & 0.590852 \tabularnewline
32 & 0.040041 & 0.2774 & 0.391328 \tabularnewline
33 & -0.018621 & -0.129 & 0.551056 \tabularnewline
34 & -0.030682 & -0.2126 & 0.58372 \tabularnewline
35 & -0.013447 & -0.0932 & 0.536918 \tabularnewline
36 & 0.000273 & 0.0019 & 0.499249 \tabularnewline
37 & -0.017275 & -0.1197 & 0.547383 \tabularnewline
38 & -0.053549 & -0.371 & 0.643865 \tabularnewline
39 & 0.000103 & 7e-04 & 0.499717 \tabularnewline
40 & 0.041935 & 0.2905 & 0.386329 \tabularnewline
41 & 0.080521 & 0.5579 & 0.289765 \tabularnewline
42 & -0.026098 & -0.1808 & 0.571361 \tabularnewline
43 & -0.04166 & -0.2886 & 0.612946 \tabularnewline
44 & -0.011737 & -0.0813 & 0.532236 \tabularnewline
45 & -0.088502 & -0.6132 & 0.728666 \tabularnewline
46 & -0.115156 & -0.7978 & 0.785548 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4833&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]0.479522[/C][C]3.3222[/C][C]0.000857[/C][/ROW]
[ROW][C]1[/C][C]0.094225[/C][C]0.6528[/C][C]0.258498[/C][/ROW]
[ROW][C]2[/C][C]-0.175056[/C][C]-1.2128[/C][C]0.884434[/C][/ROW]
[ROW][C]3[/C][C]-0.055934[/C][C]-0.3875[/C][C]0.649959[/C][/ROW]
[ROW][C]4[/C][C]0.050236[/C][C]0.348[/C][C]0.364664[/C][/ROW]
[ROW][C]5[/C][C]0.066574[/C][C]0.4612[/C][C]0.323357[/C][/ROW]
[ROW][C]6[/C][C]-0.040941[/C][C]-0.2836[/C][C]0.611049[/C][/ROW]
[ROW][C]7[/C][C]0.043777[/C][C]0.3033[/C][C]0.381489[/C][/ROW]
[ROW][C]8[/C][C]0.026829[/C][C]0.1859[/C][C]0.426662[/C][/ROW]
[ROW][C]9[/C][C]-0.412521[/C][C]-2.858[/C][C]0.996857[/C][/ROW]
[ROW][C]10[/C][C]-0.275766[/C][C]-1.9106[/C][C]0.968978[/C][/ROW]
[ROW][C]11[/C][C]-0.073763[/C][C]-0.511[/C][C]0.69417[/C][/ROW]
[ROW][C]12[/C][C]-0.00124[/C][C]-0.0086[/C][C]0.503409[/C][/ROW]
[ROW][C]13[/C][C]0.078613[/C][C]0.5446[/C][C]0.29426[/C][/ROW]
[ROW][C]14[/C][C]0.02212[/C][C]0.1533[/C][C]0.439421[/C][/ROW]
[ROW][C]15[/C][C]-0.056242[/C][C]-0.3897[/C][C]0.650743[/C][/ROW]
[ROW][C]16[/C][C]-0.067708[/C][C]-0.4691[/C][C]0.679436[/C][/ROW]
[ROW][C]17[/C][C]0.040934[/C][C]0.2836[/C][C]0.388969[/C][/ROW]
[ROW][C]18[/C][C]-0.070971[/C][C]-0.4917[/C][C]0.687415[/C][/ROW]
[ROW][C]19[/C][C]0.100062[/C][C]0.6933[/C][C]0.245746[/C][/ROW]
[ROW][C]20[/C][C]0.027962[/C][C]0.1937[/C][C]0.423603[/C][/ROW]
[ROW][C]21[/C][C]-0.12399[/C][C]-0.859[/C][C]0.802702[/C][/ROW]
[ROW][C]22[/C][C]0.104412[/C][C]0.7234[/C][C]0.236476[/C][/ROW]
[ROW][C]23[/C][C]-0.111485[/C][C]-0.7724[/C][C]0.778166[/C][/ROW]
[ROW][C]24[/C][C]0.142415[/C][C]0.9867[/C][C]0.164374[/C][/ROW]
[ROW][C]25[/C][C]0.048655[/C][C]0.3371[/C][C]0.368758[/C][/ROW]
[ROW][C]26[/C][C]-0.047462[/C][C]-0.3288[/C][C]0.62814[/C][/ROW]
[ROW][C]27[/C][C]-0.102547[/C][C]-0.7105[/C][C]0.759574[/C][/ROW]
[ROW][C]28[/C][C]0.079209[/C][C]0.5488[/C][C]0.292851[/C][/ROW]
[ROW][C]29[/C][C]-0.013752[/C][C]-0.0953[/C][C]0.537754[/C][/ROW]
[ROW][C]30[/C][C]0.021258[/C][C]0.1473[/C][C]0.441764[/C][/ROW]
[ROW][C]31[/C][C]-0.033342[/C][C]-0.231[/C][C]0.590852[/C][/ROW]
[ROW][C]32[/C][C]0.040041[/C][C]0.2774[/C][C]0.391328[/C][/ROW]
[ROW][C]33[/C][C]-0.018621[/C][C]-0.129[/C][C]0.551056[/C][/ROW]
[ROW][C]34[/C][C]-0.030682[/C][C]-0.2126[/C][C]0.58372[/C][/ROW]
[ROW][C]35[/C][C]-0.013447[/C][C]-0.0932[/C][C]0.536918[/C][/ROW]
[ROW][C]36[/C][C]0.000273[/C][C]0.0019[/C][C]0.499249[/C][/ROW]
[ROW][C]37[/C][C]-0.017275[/C][C]-0.1197[/C][C]0.547383[/C][/ROW]
[ROW][C]38[/C][C]-0.053549[/C][C]-0.371[/C][C]0.643865[/C][/ROW]
[ROW][C]39[/C][C]0.000103[/C][C]7e-04[/C][C]0.499717[/C][/ROW]
[ROW][C]40[/C][C]0.041935[/C][C]0.2905[/C][C]0.386329[/C][/ROW]
[ROW][C]41[/C][C]0.080521[/C][C]0.5579[/C][C]0.289765[/C][/ROW]
[ROW][C]42[/C][C]-0.026098[/C][C]-0.1808[/C][C]0.571361[/C][/ROW]
[ROW][C]43[/C][C]-0.04166[/C][C]-0.2886[/C][C]0.612946[/C][/ROW]
[ROW][C]44[/C][C]-0.011737[/C][C]-0.0813[/C][C]0.532236[/C][/ROW]
[ROW][C]45[/C][C]-0.088502[/C][C]-0.6132[/C][C]0.728666[/C][/ROW]
[ROW][C]46[/C][C]-0.115156[/C][C]-0.7978[/C][C]0.785548[/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]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4833&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4833&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 kPACF(k)T-STATP-value
00.4795223.32220.000857
10.0942250.65280.258498
2-0.175056-1.21280.884434
3-0.055934-0.38750.649959
40.0502360.3480.364664
50.0665740.46120.323357
6-0.040941-0.28360.611049
70.0437770.30330.381489
80.0268290.18590.426662
9-0.412521-2.8580.996857
10-0.275766-1.91060.968978
11-0.073763-0.5110.69417
12-0.00124-0.00860.503409
130.0786130.54460.29426
140.022120.15330.439421
15-0.056242-0.38970.650743
16-0.067708-0.46910.679436
170.0409340.28360.388969
18-0.070971-0.49170.687415
190.1000620.69330.245746
200.0279620.19370.423603
21-0.12399-0.8590.802702
220.1044120.72340.236476
23-0.111485-0.77240.778166
240.1424150.98670.164374
250.0486550.33710.368758
26-0.047462-0.32880.62814
27-0.102547-0.71050.759574
280.0792090.54880.292851
29-0.013752-0.09530.537754
300.0212580.14730.441764
31-0.033342-0.2310.590852
320.0400410.27740.391328
33-0.018621-0.1290.551056
34-0.030682-0.21260.58372
35-0.013447-0.09320.536918
360.0002730.00190.499249
37-0.017275-0.11970.547383
38-0.053549-0.3710.643865
390.0001037e-040.499717
400.0419350.29050.386329
410.0805210.55790.289765
42-0.026098-0.18080.571361
43-0.04166-0.28860.612946
44-0.011737-0.08130.532236
45-0.088502-0.61320.728666
46-0.115156-0.79780.785548
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; 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 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')