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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 06 Dec 2007 07:02:05 -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/06/t11969489854j4jf33inklrlec.htm/, Retrieved Fri, 03 May 2024 14:12:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2611, Retrieved Fri, 03 May 2024 14:12:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsreeks 1
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 4 Q4] [2007-12-06 14:02:05] [e38ae300fa323c405e42b78372d772d6] [Current]
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Dataseries X:
0.0752994101837376 
-3.14700395116914 
-2.47349546522743 
-4.99251393436674 
8.50731827303442 
-2.16296132761318 
-4.57417744084085 
-0.225023802322432 
0.773120583025641 
5.61875385028389 
-2.19050905866029 
3.02386986944502 
-0.234412715957203 
3.98774513237866 
-0.322671610641998 
-6.60718570492927 
-0.23777454931973 
-6.09598421072851 
-1.43436689297905 
-1.96435671813545 
-1.26878359038875 
-0.245363473695155 
-2.78257990576489 
-4.40825821800731 
4.06226710314469 
-0.371336627104249 
0.852813864171328 
8.65845790401914 
3.01369763183328 
-2.40730359118334 
6.12354542382898 
0.619728746512792 
1.89821092488078 
-1.16752907187817 
-6.24275796248451 
-3.72914525246775 
3.69405286823824 
-6.45515383392024 
-4.24390148729987 
-6.39067827595839 
3.65797375565865 
-2.28833326367129 
2.32514561894615 
-5.37887350693019 
0.443139073739122 
-0.9274743961954 
-7.41598623255795 
4.69002266502663 
6.27668276362856 
4.05774582562774 
-1.29164513132306 
7.91715343813355 
-2.46639083761789 
7.15490950988381 
5.65110067953293 
2.89195372107196 
-2.19949157907185 
-1.94065209264981 
3.21380896451048 
3.50411640860489 
-1.68046453086958 
1.05844832456957 
1.81665657725699 
4.76943632911119 
-1.14477159920592 
-0.569988072906385 
-0.365451044330128 
2.14484935836149 
1.90832432847442 
-7.61612502300154 




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=2611&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=2611&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2611&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.36660
1-0.004422-0.0370.514703
20.0622290.52060.302128
30.0674910.56470.287053
40.16781.40390.082383
50.0892990.74710.228743
6-0.037477-0.31360.622606
7-0.122897-1.02820.846309
8-0.110888-0.92780.821638
90.0318450.26640.395344
10-0.243941-2.0410.977486
11-0.110982-0.92850.821842
12-0.015886-0.13290.552677
13-0.122177-1.02220.844899
14-0.020989-0.17560.569445
15-0.04014-0.33580.631001
16-0.120528-1.00840.841634
170.0695660.5820.281207
180.0107290.08980.464363
190.0148510.12430.450735
200.039630.33160.370604
210.0316540.26480.395957
22-0.011387-0.09530.537814
230.2696052.25570.013609
240.0024660.02060.4918
25-0.181328-1.51710.933127
260.0373690.31260.377738
270.0895450.74920.228127
280.0012860.01080.495722
29-0.046966-0.39290.652225
30-0.154554-1.29310.899885
310.0959750.8030.212351
320.0486110.40670.342732
33-0.09508-0.79550.785494
34-0.068962-0.5770.717097
350.0504930.42250.336995
360.0402820.3370.368555
37-0.050197-0.420.662107
380.0352950.29530.384321
39-0.107097-0.8960.813348
400.1292521.08140.141616
41-0.039448-0.330.628825
42-0.067218-0.56240.712176
430.0110390.09240.463338
440.0316840.26510.395861
45-0.028111-0.23520.592629
46-0.037763-0.3160.62351
470.0219150.18340.427525

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.3666 & 0 \tabularnewline
1 & -0.004422 & -0.037 & 0.514703 \tabularnewline
2 & 0.062229 & 0.5206 & 0.302128 \tabularnewline
3 & 0.067491 & 0.5647 & 0.287053 \tabularnewline
4 & 0.1678 & 1.4039 & 0.082383 \tabularnewline
5 & 0.089299 & 0.7471 & 0.228743 \tabularnewline
6 & -0.037477 & -0.3136 & 0.622606 \tabularnewline
7 & -0.122897 & -1.0282 & 0.846309 \tabularnewline
8 & -0.110888 & -0.9278 & 0.821638 \tabularnewline
9 & 0.031845 & 0.2664 & 0.395344 \tabularnewline
10 & -0.243941 & -2.041 & 0.977486 \tabularnewline
11 & -0.110982 & -0.9285 & 0.821842 \tabularnewline
12 & -0.015886 & -0.1329 & 0.552677 \tabularnewline
13 & -0.122177 & -1.0222 & 0.844899 \tabularnewline
14 & -0.020989 & -0.1756 & 0.569445 \tabularnewline
15 & -0.04014 & -0.3358 & 0.631001 \tabularnewline
16 & -0.120528 & -1.0084 & 0.841634 \tabularnewline
17 & 0.069566 & 0.582 & 0.281207 \tabularnewline
18 & 0.010729 & 0.0898 & 0.464363 \tabularnewline
19 & 0.014851 & 0.1243 & 0.450735 \tabularnewline
20 & 0.03963 & 0.3316 & 0.370604 \tabularnewline
21 & 0.031654 & 0.2648 & 0.395957 \tabularnewline
22 & -0.011387 & -0.0953 & 0.537814 \tabularnewline
23 & 0.269605 & 2.2557 & 0.013609 \tabularnewline
24 & 0.002466 & 0.0206 & 0.4918 \tabularnewline
25 & -0.181328 & -1.5171 & 0.933127 \tabularnewline
26 & 0.037369 & 0.3126 & 0.377738 \tabularnewline
27 & 0.089545 & 0.7492 & 0.228127 \tabularnewline
28 & 0.001286 & 0.0108 & 0.495722 \tabularnewline
29 & -0.046966 & -0.3929 & 0.652225 \tabularnewline
30 & -0.154554 & -1.2931 & 0.899885 \tabularnewline
31 & 0.095975 & 0.803 & 0.212351 \tabularnewline
32 & 0.048611 & 0.4067 & 0.342732 \tabularnewline
33 & -0.09508 & -0.7955 & 0.785494 \tabularnewline
34 & -0.068962 & -0.577 & 0.717097 \tabularnewline
35 & 0.050493 & 0.4225 & 0.336995 \tabularnewline
36 & 0.040282 & 0.337 & 0.368555 \tabularnewline
37 & -0.050197 & -0.42 & 0.662107 \tabularnewline
38 & 0.035295 & 0.2953 & 0.384321 \tabularnewline
39 & -0.107097 & -0.896 & 0.813348 \tabularnewline
40 & 0.129252 & 1.0814 & 0.141616 \tabularnewline
41 & -0.039448 & -0.33 & 0.628825 \tabularnewline
42 & -0.067218 & -0.5624 & 0.712176 \tabularnewline
43 & 0.011039 & 0.0924 & 0.463338 \tabularnewline
44 & 0.031684 & 0.2651 & 0.395861 \tabularnewline
45 & -0.028111 & -0.2352 & 0.592629 \tabularnewline
46 & -0.037763 & -0.316 & 0.62351 \tabularnewline
47 & 0.021915 & 0.1834 & 0.427525 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2611&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]8.3666[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.004422[/C][C]-0.037[/C][C]0.514703[/C][/ROW]
[ROW][C]2[/C][C]0.062229[/C][C]0.5206[/C][C]0.302128[/C][/ROW]
[ROW][C]3[/C][C]0.067491[/C][C]0.5647[/C][C]0.287053[/C][/ROW]
[ROW][C]4[/C][C]0.1678[/C][C]1.4039[/C][C]0.082383[/C][/ROW]
[ROW][C]5[/C][C]0.089299[/C][C]0.7471[/C][C]0.228743[/C][/ROW]
[ROW][C]6[/C][C]-0.037477[/C][C]-0.3136[/C][C]0.622606[/C][/ROW]
[ROW][C]7[/C][C]-0.122897[/C][C]-1.0282[/C][C]0.846309[/C][/ROW]
[ROW][C]8[/C][C]-0.110888[/C][C]-0.9278[/C][C]0.821638[/C][/ROW]
[ROW][C]9[/C][C]0.031845[/C][C]0.2664[/C][C]0.395344[/C][/ROW]
[ROW][C]10[/C][C]-0.243941[/C][C]-2.041[/C][C]0.977486[/C][/ROW]
[ROW][C]11[/C][C]-0.110982[/C][C]-0.9285[/C][C]0.821842[/C][/ROW]
[ROW][C]12[/C][C]-0.015886[/C][C]-0.1329[/C][C]0.552677[/C][/ROW]
[ROW][C]13[/C][C]-0.122177[/C][C]-1.0222[/C][C]0.844899[/C][/ROW]
[ROW][C]14[/C][C]-0.020989[/C][C]-0.1756[/C][C]0.569445[/C][/ROW]
[ROW][C]15[/C][C]-0.04014[/C][C]-0.3358[/C][C]0.631001[/C][/ROW]
[ROW][C]16[/C][C]-0.120528[/C][C]-1.0084[/C][C]0.841634[/C][/ROW]
[ROW][C]17[/C][C]0.069566[/C][C]0.582[/C][C]0.281207[/C][/ROW]
[ROW][C]18[/C][C]0.010729[/C][C]0.0898[/C][C]0.464363[/C][/ROW]
[ROW][C]19[/C][C]0.014851[/C][C]0.1243[/C][C]0.450735[/C][/ROW]
[ROW][C]20[/C][C]0.03963[/C][C]0.3316[/C][C]0.370604[/C][/ROW]
[ROW][C]21[/C][C]0.031654[/C][C]0.2648[/C][C]0.395957[/C][/ROW]
[ROW][C]22[/C][C]-0.011387[/C][C]-0.0953[/C][C]0.537814[/C][/ROW]
[ROW][C]23[/C][C]0.269605[/C][C]2.2557[/C][C]0.013609[/C][/ROW]
[ROW][C]24[/C][C]0.002466[/C][C]0.0206[/C][C]0.4918[/C][/ROW]
[ROW][C]25[/C][C]-0.181328[/C][C]-1.5171[/C][C]0.933127[/C][/ROW]
[ROW][C]26[/C][C]0.037369[/C][C]0.3126[/C][C]0.377738[/C][/ROW]
[ROW][C]27[/C][C]0.089545[/C][C]0.7492[/C][C]0.228127[/C][/ROW]
[ROW][C]28[/C][C]0.001286[/C][C]0.0108[/C][C]0.495722[/C][/ROW]
[ROW][C]29[/C][C]-0.046966[/C][C]-0.3929[/C][C]0.652225[/C][/ROW]
[ROW][C]30[/C][C]-0.154554[/C][C]-1.2931[/C][C]0.899885[/C][/ROW]
[ROW][C]31[/C][C]0.095975[/C][C]0.803[/C][C]0.212351[/C][/ROW]
[ROW][C]32[/C][C]0.048611[/C][C]0.4067[/C][C]0.342732[/C][/ROW]
[ROW][C]33[/C][C]-0.09508[/C][C]-0.7955[/C][C]0.785494[/C][/ROW]
[ROW][C]34[/C][C]-0.068962[/C][C]-0.577[/C][C]0.717097[/C][/ROW]
[ROW][C]35[/C][C]0.050493[/C][C]0.4225[/C][C]0.336995[/C][/ROW]
[ROW][C]36[/C][C]0.040282[/C][C]0.337[/C][C]0.368555[/C][/ROW]
[ROW][C]37[/C][C]-0.050197[/C][C]-0.42[/C][C]0.662107[/C][/ROW]
[ROW][C]38[/C][C]0.035295[/C][C]0.2953[/C][C]0.384321[/C][/ROW]
[ROW][C]39[/C][C]-0.107097[/C][C]-0.896[/C][C]0.813348[/C][/ROW]
[ROW][C]40[/C][C]0.129252[/C][C]1.0814[/C][C]0.141616[/C][/ROW]
[ROW][C]41[/C][C]-0.039448[/C][C]-0.33[/C][C]0.628825[/C][/ROW]
[ROW][C]42[/C][C]-0.067218[/C][C]-0.5624[/C][C]0.712176[/C][/ROW]
[ROW][C]43[/C][C]0.011039[/C][C]0.0924[/C][C]0.463338[/C][/ROW]
[ROW][C]44[/C][C]0.031684[/C][C]0.2651[/C][C]0.395861[/C][/ROW]
[ROW][C]45[/C][C]-0.028111[/C][C]-0.2352[/C][C]0.592629[/C][/ROW]
[ROW][C]46[/C][C]-0.037763[/C][C]-0.316[/C][C]0.62351[/C][/ROW]
[ROW][C]47[/C][C]0.021915[/C][C]0.1834[/C][C]0.427525[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2611&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2611&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
018.36660
1-0.004422-0.0370.514703
20.0622290.52060.302128
30.0674910.56470.287053
40.16781.40390.082383
50.0892990.74710.228743
6-0.037477-0.31360.622606
7-0.122897-1.02820.846309
8-0.110888-0.92780.821638
90.0318450.26640.395344
10-0.243941-2.0410.977486
11-0.110982-0.92850.821842
12-0.015886-0.13290.552677
13-0.122177-1.02220.844899
14-0.020989-0.17560.569445
15-0.04014-0.33580.631001
16-0.120528-1.00840.841634
170.0695660.5820.281207
180.0107290.08980.464363
190.0148510.12430.450735
200.039630.33160.370604
210.0316540.26480.395957
22-0.011387-0.09530.537814
230.2696052.25570.013609
240.0024660.02060.4918
25-0.181328-1.51710.933127
260.0373690.31260.377738
270.0895450.74920.228127
280.0012860.01080.495722
29-0.046966-0.39290.652225
30-0.154554-1.29310.899885
310.0959750.8030.212351
320.0486110.40670.342732
33-0.09508-0.79550.785494
34-0.068962-0.5770.717097
350.0504930.42250.336995
360.0402820.3370.368555
37-0.050197-0.420.662107
380.0352950.29530.384321
39-0.107097-0.8960.813348
400.1292521.08140.141616
41-0.039448-0.330.628825
42-0.067218-0.56240.712176
430.0110390.09240.463338
440.0316840.26510.395861
45-0.028111-0.23520.592629
46-0.037763-0.3160.62351
470.0219150.18340.427525







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.004422-0.0370.514703
10.0622110.52050.302181
20.0682890.57140.284796
30.1661981.39050.084389
40.088680.74190.230301
5-0.059127-0.49470.688818
6-0.165467-1.38440.914683
7-0.167737-1.40340.917539
80.012950.10830.457015
9-0.212911-1.78130.960403
10-0.06238-0.52190.698309
110.0789640.66070.2555
12-0.075341-0.63030.73474
130.0367290.30730.379763
140.0161720.13530.44638
15-0.145692-1.21890.886522
160.0349890.29270.385294
17-0.03978-0.33280.629869
180.0172610.14440.442794
190.0279480.23380.407901
20-0.029253-0.24470.596316
21-0.020646-0.17270.568322
220.2294241.91950.029499
23-0.026227-0.21940.586523
24-0.235577-1.9710.973659
25-0.075561-0.63220.735339
260.0542180.45360.325753
27-0.002472-0.02070.508222
280.0199560.1670.43394
29-0.057677-0.48260.684543
300.1520161.27190.103816
31-0.007992-0.06690.526561
32-0.048877-0.40890.658082
33-0.004726-0.03950.515715
34-0.076228-0.63780.737147
350.0115940.0970.461502
36-0.006934-0.0580.523047
370.0454440.38020.35247
38-0.023399-0.19580.577322
390.0332470.27820.390853
40-0.052776-0.44160.669916
41-0.046135-0.3860.649665
42-0.036984-0.30940.621044
43-0.001142-0.00960.503799
44-0.004598-0.03850.51529
45-0.087321-0.73060.766263
460.0571970.47850.316878
47-0.031952-0.26730.605

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.004422 & -0.037 & 0.514703 \tabularnewline
1 & 0.062211 & 0.5205 & 0.302181 \tabularnewline
2 & 0.068289 & 0.5714 & 0.284796 \tabularnewline
3 & 0.166198 & 1.3905 & 0.084389 \tabularnewline
4 & 0.08868 & 0.7419 & 0.230301 \tabularnewline
5 & -0.059127 & -0.4947 & 0.688818 \tabularnewline
6 & -0.165467 & -1.3844 & 0.914683 \tabularnewline
7 & -0.167737 & -1.4034 & 0.917539 \tabularnewline
8 & 0.01295 & 0.1083 & 0.457015 \tabularnewline
9 & -0.212911 & -1.7813 & 0.960403 \tabularnewline
10 & -0.06238 & -0.5219 & 0.698309 \tabularnewline
11 & 0.078964 & 0.6607 & 0.2555 \tabularnewline
12 & -0.075341 & -0.6303 & 0.73474 \tabularnewline
13 & 0.036729 & 0.3073 & 0.379763 \tabularnewline
14 & 0.016172 & 0.1353 & 0.44638 \tabularnewline
15 & -0.145692 & -1.2189 & 0.886522 \tabularnewline
16 & 0.034989 & 0.2927 & 0.385294 \tabularnewline
17 & -0.03978 & -0.3328 & 0.629869 \tabularnewline
18 & 0.017261 & 0.1444 & 0.442794 \tabularnewline
19 & 0.027948 & 0.2338 & 0.407901 \tabularnewline
20 & -0.029253 & -0.2447 & 0.596316 \tabularnewline
21 & -0.020646 & -0.1727 & 0.568322 \tabularnewline
22 & 0.229424 & 1.9195 & 0.029499 \tabularnewline
23 & -0.026227 & -0.2194 & 0.586523 \tabularnewline
24 & -0.235577 & -1.971 & 0.973659 \tabularnewline
25 & -0.075561 & -0.6322 & 0.735339 \tabularnewline
26 & 0.054218 & 0.4536 & 0.325753 \tabularnewline
27 & -0.002472 & -0.0207 & 0.508222 \tabularnewline
28 & 0.019956 & 0.167 & 0.43394 \tabularnewline
29 & -0.057677 & -0.4826 & 0.684543 \tabularnewline
30 & 0.152016 & 1.2719 & 0.103816 \tabularnewline
31 & -0.007992 & -0.0669 & 0.526561 \tabularnewline
32 & -0.048877 & -0.4089 & 0.658082 \tabularnewline
33 & -0.004726 & -0.0395 & 0.515715 \tabularnewline
34 & -0.076228 & -0.6378 & 0.737147 \tabularnewline
35 & 0.011594 & 0.097 & 0.461502 \tabularnewline
36 & -0.006934 & -0.058 & 0.523047 \tabularnewline
37 & 0.045444 & 0.3802 & 0.35247 \tabularnewline
38 & -0.023399 & -0.1958 & 0.577322 \tabularnewline
39 & 0.033247 & 0.2782 & 0.390853 \tabularnewline
40 & -0.052776 & -0.4416 & 0.669916 \tabularnewline
41 & -0.046135 & -0.386 & 0.649665 \tabularnewline
42 & -0.036984 & -0.3094 & 0.621044 \tabularnewline
43 & -0.001142 & -0.0096 & 0.503799 \tabularnewline
44 & -0.004598 & -0.0385 & 0.51529 \tabularnewline
45 & -0.087321 & -0.7306 & 0.766263 \tabularnewline
46 & 0.057197 & 0.4785 & 0.316878 \tabularnewline
47 & -0.031952 & -0.2673 & 0.605 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2611&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]-0.004422[/C][C]-0.037[/C][C]0.514703[/C][/ROW]
[ROW][C]1[/C][C]0.062211[/C][C]0.5205[/C][C]0.302181[/C][/ROW]
[ROW][C]2[/C][C]0.068289[/C][C]0.5714[/C][C]0.284796[/C][/ROW]
[ROW][C]3[/C][C]0.166198[/C][C]1.3905[/C][C]0.084389[/C][/ROW]
[ROW][C]4[/C][C]0.08868[/C][C]0.7419[/C][C]0.230301[/C][/ROW]
[ROW][C]5[/C][C]-0.059127[/C][C]-0.4947[/C][C]0.688818[/C][/ROW]
[ROW][C]6[/C][C]-0.165467[/C][C]-1.3844[/C][C]0.914683[/C][/ROW]
[ROW][C]7[/C][C]-0.167737[/C][C]-1.4034[/C][C]0.917539[/C][/ROW]
[ROW][C]8[/C][C]0.01295[/C][C]0.1083[/C][C]0.457015[/C][/ROW]
[ROW][C]9[/C][C]-0.212911[/C][C]-1.7813[/C][C]0.960403[/C][/ROW]
[ROW][C]10[/C][C]-0.06238[/C][C]-0.5219[/C][C]0.698309[/C][/ROW]
[ROW][C]11[/C][C]0.078964[/C][C]0.6607[/C][C]0.2555[/C][/ROW]
[ROW][C]12[/C][C]-0.075341[/C][C]-0.6303[/C][C]0.73474[/C][/ROW]
[ROW][C]13[/C][C]0.036729[/C][C]0.3073[/C][C]0.379763[/C][/ROW]
[ROW][C]14[/C][C]0.016172[/C][C]0.1353[/C][C]0.44638[/C][/ROW]
[ROW][C]15[/C][C]-0.145692[/C][C]-1.2189[/C][C]0.886522[/C][/ROW]
[ROW][C]16[/C][C]0.034989[/C][C]0.2927[/C][C]0.385294[/C][/ROW]
[ROW][C]17[/C][C]-0.03978[/C][C]-0.3328[/C][C]0.629869[/C][/ROW]
[ROW][C]18[/C][C]0.017261[/C][C]0.1444[/C][C]0.442794[/C][/ROW]
[ROW][C]19[/C][C]0.027948[/C][C]0.2338[/C][C]0.407901[/C][/ROW]
[ROW][C]20[/C][C]-0.029253[/C][C]-0.2447[/C][C]0.596316[/C][/ROW]
[ROW][C]21[/C][C]-0.020646[/C][C]-0.1727[/C][C]0.568322[/C][/ROW]
[ROW][C]22[/C][C]0.229424[/C][C]1.9195[/C][C]0.029499[/C][/ROW]
[ROW][C]23[/C][C]-0.026227[/C][C]-0.2194[/C][C]0.586523[/C][/ROW]
[ROW][C]24[/C][C]-0.235577[/C][C]-1.971[/C][C]0.973659[/C][/ROW]
[ROW][C]25[/C][C]-0.075561[/C][C]-0.6322[/C][C]0.735339[/C][/ROW]
[ROW][C]26[/C][C]0.054218[/C][C]0.4536[/C][C]0.325753[/C][/ROW]
[ROW][C]27[/C][C]-0.002472[/C][C]-0.0207[/C][C]0.508222[/C][/ROW]
[ROW][C]28[/C][C]0.019956[/C][C]0.167[/C][C]0.43394[/C][/ROW]
[ROW][C]29[/C][C]-0.057677[/C][C]-0.4826[/C][C]0.684543[/C][/ROW]
[ROW][C]30[/C][C]0.152016[/C][C]1.2719[/C][C]0.103816[/C][/ROW]
[ROW][C]31[/C][C]-0.007992[/C][C]-0.0669[/C][C]0.526561[/C][/ROW]
[ROW][C]32[/C][C]-0.048877[/C][C]-0.4089[/C][C]0.658082[/C][/ROW]
[ROW][C]33[/C][C]-0.004726[/C][C]-0.0395[/C][C]0.515715[/C][/ROW]
[ROW][C]34[/C][C]-0.076228[/C][C]-0.6378[/C][C]0.737147[/C][/ROW]
[ROW][C]35[/C][C]0.011594[/C][C]0.097[/C][C]0.461502[/C][/ROW]
[ROW][C]36[/C][C]-0.006934[/C][C]-0.058[/C][C]0.523047[/C][/ROW]
[ROW][C]37[/C][C]0.045444[/C][C]0.3802[/C][C]0.35247[/C][/ROW]
[ROW][C]38[/C][C]-0.023399[/C][C]-0.1958[/C][C]0.577322[/C][/ROW]
[ROW][C]39[/C][C]0.033247[/C][C]0.2782[/C][C]0.390853[/C][/ROW]
[ROW][C]40[/C][C]-0.052776[/C][C]-0.4416[/C][C]0.669916[/C][/ROW]
[ROW][C]41[/C][C]-0.046135[/C][C]-0.386[/C][C]0.649665[/C][/ROW]
[ROW][C]42[/C][C]-0.036984[/C][C]-0.3094[/C][C]0.621044[/C][/ROW]
[ROW][C]43[/C][C]-0.001142[/C][C]-0.0096[/C][C]0.503799[/C][/ROW]
[ROW][C]44[/C][C]-0.004598[/C][C]-0.0385[/C][C]0.51529[/C][/ROW]
[ROW][C]45[/C][C]-0.087321[/C][C]-0.7306[/C][C]0.766263[/C][/ROW]
[ROW][C]46[/C][C]0.057197[/C][C]0.4785[/C][C]0.316878[/C][/ROW]
[ROW][C]47[/C][C]-0.031952[/C][C]-0.2673[/C][C]0.605[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2611&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2611&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
0-0.004422-0.0370.514703
10.0622110.52050.302181
20.0682890.57140.284796
30.1661981.39050.084389
40.088680.74190.230301
5-0.059127-0.49470.688818
6-0.165467-1.38440.914683
7-0.167737-1.40340.917539
80.012950.10830.457015
9-0.212911-1.78130.960403
10-0.06238-0.52190.698309
110.0789640.66070.2555
12-0.075341-0.63030.73474
130.0367290.30730.379763
140.0161720.13530.44638
15-0.145692-1.21890.886522
160.0349890.29270.385294
17-0.03978-0.33280.629869
180.0172610.14440.442794
190.0279480.23380.407901
20-0.029253-0.24470.596316
21-0.020646-0.17270.568322
220.2294241.91950.029499
23-0.026227-0.21940.586523
24-0.235577-1.9710.973659
25-0.075561-0.63220.735339
260.0542180.45360.325753
27-0.002472-0.02070.508222
280.0199560.1670.43394
29-0.057677-0.48260.684543
300.1520161.27190.103816
31-0.007992-0.06690.526561
32-0.048877-0.40890.658082
33-0.004726-0.03950.515715
34-0.076228-0.63780.737147
350.0115940.0970.461502
36-0.006934-0.0580.523047
370.0454440.38020.35247
38-0.023399-0.19580.577322
390.0332470.27820.390853
40-0.052776-0.44160.669916
41-0.046135-0.3860.649665
42-0.036984-0.30940.621044
43-0.001142-0.00960.503799
44-0.004598-0.03850.51529
45-0.087321-0.73060.766263
460.0571970.47850.316878
47-0.031952-0.26730.605



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; 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')