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Author's title

Datareeks - Omzet aardolie- en aardgaswinning, aardolieindustrie - Silke va...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 07 Jun 2009 11:13:23 -0600
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/Jun/07/t1244394844gqnk3f65xx4d37d.htm/, Retrieved Mon, 13 May 2024 16:57:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42202, Retrieved Mon, 13 May 2024 16:57:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Datareeks - Omzet...] [2009-05-27 16:56:25] [dc50a0595bb832dbde2e1ed0cdef0a3d]
-   PD    [(Partial) Autocorrelation Function] [Datareeks - Omzet...] [2009-06-07 17:13:23] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
493395.00
487190.00
519493.00
519453.00
538588.00
438224.00
542034.00
512027.00
619880.00
533737.00
573789.00
589213.00
532168.00
551102.00
593789.00
527106.00
547327.00
601305.00
610872.00
601325.00
642143.00
614216.00
657979.00
673098.00
602297.00
615381.00
703671.00
733852.00
716596.00
745798.00
742027.10
679181.20
739022.70
645410.60
729382.10
671052.70
744954.80
677639.30
778207.20
763316.20
658531.60
831700.10
664156.30
621402.10
683588.70
600023.80
643273.80
653615.90
620177.50
574128.80
599828.00
599369.40
596617.70
616114.60
510226.90
493960.10
634503.30
588556.20
603239.00
617458.20
646543.50
680125.60
731595.80
759600.30
785031.70
849573.30
762342.00
815346.60
929603.20
784057.50
944667.70
1007258.30
664292.70
873207.40
1146510.00
1417266.80
1089387.90
1373379.70
1009397.60
818175.10
1003458.10
961142.70
1121906.60
1141713.30
1042352.60
992223.60
920525.30
1076093.40
967880.40
1236416.10




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42202&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42202&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42202&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.374202-3.53020.00033
2-0.012979-0.12240.451412
30.0502720.47430.318236
4-0.173527-1.63710.052575
5-0.09903-0.93420.176352
60.0972280.91720.180746
70.2386032.2510.013425
8-0.19969-1.88390.031423
90.1214071.14530.127568
100.011760.11090.455957
11-0.325999-3.07550.001396
120.3196643.01570.001671
13-0.15954-1.50510.06792
140.0475590.44870.327379
150.0884420.83440.203155
16-0.047581-0.44890.327307
17-0.072877-0.68750.246772
180.052110.49160.312105
190.0656480.61930.268644
20-0.124431-1.17390.121788
210.0627120.59160.2778
22-0.008412-0.07940.468464
23-0.115315-1.08790.139793
240.166861.57420.0595
25-0.091818-0.86620.194351
26-0.019301-0.18210.427966
270.0921460.86930.19351
28-0.093986-0.88670.188826
290.0057820.05450.478311
300.0977540.92220.179456
31-0.050732-0.47860.316698
32-0.073652-0.69480.244485
330.0750410.70790.240417
340.0149950.14150.443912
35-0.120032-1.13240.130258
360.1641041.54820.062567
37-0.052804-0.49820.309801
38-0.070382-0.6640.25421
390.1530711.44410.076115
40-0.159198-1.50190.068335
410.0775960.7320.233034
42-0.036217-0.34170.366704
430.0316110.29820.383117
44-0.055869-0.52710.299729
450.0450330.42480.335991
46-0.002226-0.0210.491645
47-0.093941-0.88620.188939
480.1531151.44450.076057

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.374202 & -3.5302 & 0.00033 \tabularnewline
2 & -0.012979 & -0.1224 & 0.451412 \tabularnewline
3 & 0.050272 & 0.4743 & 0.318236 \tabularnewline
4 & -0.173527 & -1.6371 & 0.052575 \tabularnewline
5 & -0.09903 & -0.9342 & 0.176352 \tabularnewline
6 & 0.097228 & 0.9172 & 0.180746 \tabularnewline
7 & 0.238603 & 2.251 & 0.013425 \tabularnewline
8 & -0.19969 & -1.8839 & 0.031423 \tabularnewline
9 & 0.121407 & 1.1453 & 0.127568 \tabularnewline
10 & 0.01176 & 0.1109 & 0.455957 \tabularnewline
11 & -0.325999 & -3.0755 & 0.001396 \tabularnewline
12 & 0.319664 & 3.0157 & 0.001671 \tabularnewline
13 & -0.15954 & -1.5051 & 0.06792 \tabularnewline
14 & 0.047559 & 0.4487 & 0.327379 \tabularnewline
15 & 0.088442 & 0.8344 & 0.203155 \tabularnewline
16 & -0.047581 & -0.4489 & 0.327307 \tabularnewline
17 & -0.072877 & -0.6875 & 0.246772 \tabularnewline
18 & 0.05211 & 0.4916 & 0.312105 \tabularnewline
19 & 0.065648 & 0.6193 & 0.268644 \tabularnewline
20 & -0.124431 & -1.1739 & 0.121788 \tabularnewline
21 & 0.062712 & 0.5916 & 0.2778 \tabularnewline
22 & -0.008412 & -0.0794 & 0.468464 \tabularnewline
23 & -0.115315 & -1.0879 & 0.139793 \tabularnewline
24 & 0.16686 & 1.5742 & 0.0595 \tabularnewline
25 & -0.091818 & -0.8662 & 0.194351 \tabularnewline
26 & -0.019301 & -0.1821 & 0.427966 \tabularnewline
27 & 0.092146 & 0.8693 & 0.19351 \tabularnewline
28 & -0.093986 & -0.8867 & 0.188826 \tabularnewline
29 & 0.005782 & 0.0545 & 0.478311 \tabularnewline
30 & 0.097754 & 0.9222 & 0.179456 \tabularnewline
31 & -0.050732 & -0.4786 & 0.316698 \tabularnewline
32 & -0.073652 & -0.6948 & 0.244485 \tabularnewline
33 & 0.075041 & 0.7079 & 0.240417 \tabularnewline
34 & 0.014995 & 0.1415 & 0.443912 \tabularnewline
35 & -0.120032 & -1.1324 & 0.130258 \tabularnewline
36 & 0.164104 & 1.5482 & 0.062567 \tabularnewline
37 & -0.052804 & -0.4982 & 0.309801 \tabularnewline
38 & -0.070382 & -0.664 & 0.25421 \tabularnewline
39 & 0.153071 & 1.4441 & 0.076115 \tabularnewline
40 & -0.159198 & -1.5019 & 0.068335 \tabularnewline
41 & 0.077596 & 0.732 & 0.233034 \tabularnewline
42 & -0.036217 & -0.3417 & 0.366704 \tabularnewline
43 & 0.031611 & 0.2982 & 0.383117 \tabularnewline
44 & -0.055869 & -0.5271 & 0.299729 \tabularnewline
45 & 0.045033 & 0.4248 & 0.335991 \tabularnewline
46 & -0.002226 & -0.021 & 0.491645 \tabularnewline
47 & -0.093941 & -0.8862 & 0.188939 \tabularnewline
48 & 0.153115 & 1.4445 & 0.076057 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42202&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]-0.374202[/C][C]-3.5302[/C][C]0.00033[/C][/ROW]
[ROW][C]2[/C][C]-0.012979[/C][C]-0.1224[/C][C]0.451412[/C][/ROW]
[ROW][C]3[/C][C]0.050272[/C][C]0.4743[/C][C]0.318236[/C][/ROW]
[ROW][C]4[/C][C]-0.173527[/C][C]-1.6371[/C][C]0.052575[/C][/ROW]
[ROW][C]5[/C][C]-0.09903[/C][C]-0.9342[/C][C]0.176352[/C][/ROW]
[ROW][C]6[/C][C]0.097228[/C][C]0.9172[/C][C]0.180746[/C][/ROW]
[ROW][C]7[/C][C]0.238603[/C][C]2.251[/C][C]0.013425[/C][/ROW]
[ROW][C]8[/C][C]-0.19969[/C][C]-1.8839[/C][C]0.031423[/C][/ROW]
[ROW][C]9[/C][C]0.121407[/C][C]1.1453[/C][C]0.127568[/C][/ROW]
[ROW][C]10[/C][C]0.01176[/C][C]0.1109[/C][C]0.455957[/C][/ROW]
[ROW][C]11[/C][C]-0.325999[/C][C]-3.0755[/C][C]0.001396[/C][/ROW]
[ROW][C]12[/C][C]0.319664[/C][C]3.0157[/C][C]0.001671[/C][/ROW]
[ROW][C]13[/C][C]-0.15954[/C][C]-1.5051[/C][C]0.06792[/C][/ROW]
[ROW][C]14[/C][C]0.047559[/C][C]0.4487[/C][C]0.327379[/C][/ROW]
[ROW][C]15[/C][C]0.088442[/C][C]0.8344[/C][C]0.203155[/C][/ROW]
[ROW][C]16[/C][C]-0.047581[/C][C]-0.4489[/C][C]0.327307[/C][/ROW]
[ROW][C]17[/C][C]-0.072877[/C][C]-0.6875[/C][C]0.246772[/C][/ROW]
[ROW][C]18[/C][C]0.05211[/C][C]0.4916[/C][C]0.312105[/C][/ROW]
[ROW][C]19[/C][C]0.065648[/C][C]0.6193[/C][C]0.268644[/C][/ROW]
[ROW][C]20[/C][C]-0.124431[/C][C]-1.1739[/C][C]0.121788[/C][/ROW]
[ROW][C]21[/C][C]0.062712[/C][C]0.5916[/C][C]0.2778[/C][/ROW]
[ROW][C]22[/C][C]-0.008412[/C][C]-0.0794[/C][C]0.468464[/C][/ROW]
[ROW][C]23[/C][C]-0.115315[/C][C]-1.0879[/C][C]0.139793[/C][/ROW]
[ROW][C]24[/C][C]0.16686[/C][C]1.5742[/C][C]0.0595[/C][/ROW]
[ROW][C]25[/C][C]-0.091818[/C][C]-0.8662[/C][C]0.194351[/C][/ROW]
[ROW][C]26[/C][C]-0.019301[/C][C]-0.1821[/C][C]0.427966[/C][/ROW]
[ROW][C]27[/C][C]0.092146[/C][C]0.8693[/C][C]0.19351[/C][/ROW]
[ROW][C]28[/C][C]-0.093986[/C][C]-0.8867[/C][C]0.188826[/C][/ROW]
[ROW][C]29[/C][C]0.005782[/C][C]0.0545[/C][C]0.478311[/C][/ROW]
[ROW][C]30[/C][C]0.097754[/C][C]0.9222[/C][C]0.179456[/C][/ROW]
[ROW][C]31[/C][C]-0.050732[/C][C]-0.4786[/C][C]0.316698[/C][/ROW]
[ROW][C]32[/C][C]-0.073652[/C][C]-0.6948[/C][C]0.244485[/C][/ROW]
[ROW][C]33[/C][C]0.075041[/C][C]0.7079[/C][C]0.240417[/C][/ROW]
[ROW][C]34[/C][C]0.014995[/C][C]0.1415[/C][C]0.443912[/C][/ROW]
[ROW][C]35[/C][C]-0.120032[/C][C]-1.1324[/C][C]0.130258[/C][/ROW]
[ROW][C]36[/C][C]0.164104[/C][C]1.5482[/C][C]0.062567[/C][/ROW]
[ROW][C]37[/C][C]-0.052804[/C][C]-0.4982[/C][C]0.309801[/C][/ROW]
[ROW][C]38[/C][C]-0.070382[/C][C]-0.664[/C][C]0.25421[/C][/ROW]
[ROW][C]39[/C][C]0.153071[/C][C]1.4441[/C][C]0.076115[/C][/ROW]
[ROW][C]40[/C][C]-0.159198[/C][C]-1.5019[/C][C]0.068335[/C][/ROW]
[ROW][C]41[/C][C]0.077596[/C][C]0.732[/C][C]0.233034[/C][/ROW]
[ROW][C]42[/C][C]-0.036217[/C][C]-0.3417[/C][C]0.366704[/C][/ROW]
[ROW][C]43[/C][C]0.031611[/C][C]0.2982[/C][C]0.383117[/C][/ROW]
[ROW][C]44[/C][C]-0.055869[/C][C]-0.5271[/C][C]0.299729[/C][/ROW]
[ROW][C]45[/C][C]0.045033[/C][C]0.4248[/C][C]0.335991[/C][/ROW]
[ROW][C]46[/C][C]-0.002226[/C][C]-0.021[/C][C]0.491645[/C][/ROW]
[ROW][C]47[/C][C]-0.093941[/C][C]-0.8862[/C][C]0.188939[/C][/ROW]
[ROW][C]48[/C][C]0.153115[/C][C]1.4445[/C][C]0.076057[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42202&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42202&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
1-0.374202-3.53020.00033
2-0.012979-0.12240.451412
30.0502720.47430.318236
4-0.173527-1.63710.052575
5-0.09903-0.93420.176352
60.0972280.91720.180746
70.2386032.2510.013425
8-0.19969-1.88390.031423
90.1214071.14530.127568
100.011760.11090.455957
11-0.325999-3.07550.001396
120.3196643.01570.001671
13-0.15954-1.50510.06792
140.0475590.44870.327379
150.0884420.83440.203155
16-0.047581-0.44890.327307
17-0.072877-0.68750.246772
180.052110.49160.312105
190.0656480.61930.268644
20-0.124431-1.17390.121788
210.0627120.59160.2778
22-0.008412-0.07940.468464
23-0.115315-1.08790.139793
240.166861.57420.0595
25-0.091818-0.86620.194351
26-0.019301-0.18210.427966
270.0921460.86930.19351
28-0.093986-0.88670.188826
290.0057820.05450.478311
300.0977540.92220.179456
31-0.050732-0.47860.316698
32-0.073652-0.69480.244485
330.0750410.70790.240417
340.0149950.14150.443912
35-0.120032-1.13240.130258
360.1641041.54820.062567
37-0.052804-0.49820.309801
38-0.070382-0.6640.25421
390.1530711.44410.076115
40-0.159198-1.50190.068335
410.0775960.7320.233034
42-0.036217-0.34170.366704
430.0316110.29820.383117
44-0.055869-0.52710.299729
450.0450330.42480.335991
46-0.002226-0.0210.491645
47-0.093941-0.88620.188939
480.1531151.44450.076057







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.374202-3.53020.00033
2-0.177919-1.67850.04838
3-0.02645-0.24950.401762
4-0.196463-1.85340.033567
5-0.301018-2.83980.002797
6-0.146192-1.37920.085648
70.2592252.44550.008216
8-0.015316-0.14450.442718
9-0.006381-0.06020.476067
100.0682230.64360.260741
11-0.219371-2.06950.020697
120.1979641.86760.032555
13-0.076069-0.71760.237432
14-0.071033-0.67010.252257
150.0626780.59130.277907
16-0.049263-0.46470.321625
17-0.03069-0.28950.386427
180.1096231.03420.151927
19-0.011713-0.11050.456132
200.0486550.4590.323674
21-0.057768-0.5450.293565
22-0.147681-1.39320.083512
230.0257210.24270.404417
240.0328940.31030.378522
25-0.085923-0.81060.20988
26-0.086056-0.81190.209522
270.006870.06480.474237
28-0.037717-0.35580.361406
290.0639650.60340.273875
300.0777410.73340.232619
31-0.051644-0.48720.313653
32-0.045073-0.42520.335853
33-0.033219-0.31340.37736
340.0486470.45890.323701
350.0181890.17160.432071
36-0.01368-0.12910.448801
37-0.036609-0.34540.365315
380.0036610.03450.486262
390.1325361.25030.107225
40-0.046395-0.43770.331334
410.0850410.80230.212267
42-0.102963-0.97140.167002
43-0.042199-0.39810.345753
440.0128960.12170.451723
45-0.040195-0.37920.352723
46-0.077355-0.72980.233726
47-0.019671-0.18560.426601
48-0.037569-0.35440.36193

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.374202 & -3.5302 & 0.00033 \tabularnewline
2 & -0.177919 & -1.6785 & 0.04838 \tabularnewline
3 & -0.02645 & -0.2495 & 0.401762 \tabularnewline
4 & -0.196463 & -1.8534 & 0.033567 \tabularnewline
5 & -0.301018 & -2.8398 & 0.002797 \tabularnewline
6 & -0.146192 & -1.3792 & 0.085648 \tabularnewline
7 & 0.259225 & 2.4455 & 0.008216 \tabularnewline
8 & -0.015316 & -0.1445 & 0.442718 \tabularnewline
9 & -0.006381 & -0.0602 & 0.476067 \tabularnewline
10 & 0.068223 & 0.6436 & 0.260741 \tabularnewline
11 & -0.219371 & -2.0695 & 0.020697 \tabularnewline
12 & 0.197964 & 1.8676 & 0.032555 \tabularnewline
13 & -0.076069 & -0.7176 & 0.237432 \tabularnewline
14 & -0.071033 & -0.6701 & 0.252257 \tabularnewline
15 & 0.062678 & 0.5913 & 0.277907 \tabularnewline
16 & -0.049263 & -0.4647 & 0.321625 \tabularnewline
17 & -0.03069 & -0.2895 & 0.386427 \tabularnewline
18 & 0.109623 & 1.0342 & 0.151927 \tabularnewline
19 & -0.011713 & -0.1105 & 0.456132 \tabularnewline
20 & 0.048655 & 0.459 & 0.323674 \tabularnewline
21 & -0.057768 & -0.545 & 0.293565 \tabularnewline
22 & -0.147681 & -1.3932 & 0.083512 \tabularnewline
23 & 0.025721 & 0.2427 & 0.404417 \tabularnewline
24 & 0.032894 & 0.3103 & 0.378522 \tabularnewline
25 & -0.085923 & -0.8106 & 0.20988 \tabularnewline
26 & -0.086056 & -0.8119 & 0.209522 \tabularnewline
27 & 0.00687 & 0.0648 & 0.474237 \tabularnewline
28 & -0.037717 & -0.3558 & 0.361406 \tabularnewline
29 & 0.063965 & 0.6034 & 0.273875 \tabularnewline
30 & 0.077741 & 0.7334 & 0.232619 \tabularnewline
31 & -0.051644 & -0.4872 & 0.313653 \tabularnewline
32 & -0.045073 & -0.4252 & 0.335853 \tabularnewline
33 & -0.033219 & -0.3134 & 0.37736 \tabularnewline
34 & 0.048647 & 0.4589 & 0.323701 \tabularnewline
35 & 0.018189 & 0.1716 & 0.432071 \tabularnewline
36 & -0.01368 & -0.1291 & 0.448801 \tabularnewline
37 & -0.036609 & -0.3454 & 0.365315 \tabularnewline
38 & 0.003661 & 0.0345 & 0.486262 \tabularnewline
39 & 0.132536 & 1.2503 & 0.107225 \tabularnewline
40 & -0.046395 & -0.4377 & 0.331334 \tabularnewline
41 & 0.085041 & 0.8023 & 0.212267 \tabularnewline
42 & -0.102963 & -0.9714 & 0.167002 \tabularnewline
43 & -0.042199 & -0.3981 & 0.345753 \tabularnewline
44 & 0.012896 & 0.1217 & 0.451723 \tabularnewline
45 & -0.040195 & -0.3792 & 0.352723 \tabularnewline
46 & -0.077355 & -0.7298 & 0.233726 \tabularnewline
47 & -0.019671 & -0.1856 & 0.426601 \tabularnewline
48 & -0.037569 & -0.3544 & 0.36193 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42202&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]-0.374202[/C][C]-3.5302[/C][C]0.00033[/C][/ROW]
[ROW][C]2[/C][C]-0.177919[/C][C]-1.6785[/C][C]0.04838[/C][/ROW]
[ROW][C]3[/C][C]-0.02645[/C][C]-0.2495[/C][C]0.401762[/C][/ROW]
[ROW][C]4[/C][C]-0.196463[/C][C]-1.8534[/C][C]0.033567[/C][/ROW]
[ROW][C]5[/C][C]-0.301018[/C][C]-2.8398[/C][C]0.002797[/C][/ROW]
[ROW][C]6[/C][C]-0.146192[/C][C]-1.3792[/C][C]0.085648[/C][/ROW]
[ROW][C]7[/C][C]0.259225[/C][C]2.4455[/C][C]0.008216[/C][/ROW]
[ROW][C]8[/C][C]-0.015316[/C][C]-0.1445[/C][C]0.442718[/C][/ROW]
[ROW][C]9[/C][C]-0.006381[/C][C]-0.0602[/C][C]0.476067[/C][/ROW]
[ROW][C]10[/C][C]0.068223[/C][C]0.6436[/C][C]0.260741[/C][/ROW]
[ROW][C]11[/C][C]-0.219371[/C][C]-2.0695[/C][C]0.020697[/C][/ROW]
[ROW][C]12[/C][C]0.197964[/C][C]1.8676[/C][C]0.032555[/C][/ROW]
[ROW][C]13[/C][C]-0.076069[/C][C]-0.7176[/C][C]0.237432[/C][/ROW]
[ROW][C]14[/C][C]-0.071033[/C][C]-0.6701[/C][C]0.252257[/C][/ROW]
[ROW][C]15[/C][C]0.062678[/C][C]0.5913[/C][C]0.277907[/C][/ROW]
[ROW][C]16[/C][C]-0.049263[/C][C]-0.4647[/C][C]0.321625[/C][/ROW]
[ROW][C]17[/C][C]-0.03069[/C][C]-0.2895[/C][C]0.386427[/C][/ROW]
[ROW][C]18[/C][C]0.109623[/C][C]1.0342[/C][C]0.151927[/C][/ROW]
[ROW][C]19[/C][C]-0.011713[/C][C]-0.1105[/C][C]0.456132[/C][/ROW]
[ROW][C]20[/C][C]0.048655[/C][C]0.459[/C][C]0.323674[/C][/ROW]
[ROW][C]21[/C][C]-0.057768[/C][C]-0.545[/C][C]0.293565[/C][/ROW]
[ROW][C]22[/C][C]-0.147681[/C][C]-1.3932[/C][C]0.083512[/C][/ROW]
[ROW][C]23[/C][C]0.025721[/C][C]0.2427[/C][C]0.404417[/C][/ROW]
[ROW][C]24[/C][C]0.032894[/C][C]0.3103[/C][C]0.378522[/C][/ROW]
[ROW][C]25[/C][C]-0.085923[/C][C]-0.8106[/C][C]0.20988[/C][/ROW]
[ROW][C]26[/C][C]-0.086056[/C][C]-0.8119[/C][C]0.209522[/C][/ROW]
[ROW][C]27[/C][C]0.00687[/C][C]0.0648[/C][C]0.474237[/C][/ROW]
[ROW][C]28[/C][C]-0.037717[/C][C]-0.3558[/C][C]0.361406[/C][/ROW]
[ROW][C]29[/C][C]0.063965[/C][C]0.6034[/C][C]0.273875[/C][/ROW]
[ROW][C]30[/C][C]0.077741[/C][C]0.7334[/C][C]0.232619[/C][/ROW]
[ROW][C]31[/C][C]-0.051644[/C][C]-0.4872[/C][C]0.313653[/C][/ROW]
[ROW][C]32[/C][C]-0.045073[/C][C]-0.4252[/C][C]0.335853[/C][/ROW]
[ROW][C]33[/C][C]-0.033219[/C][C]-0.3134[/C][C]0.37736[/C][/ROW]
[ROW][C]34[/C][C]0.048647[/C][C]0.4589[/C][C]0.323701[/C][/ROW]
[ROW][C]35[/C][C]0.018189[/C][C]0.1716[/C][C]0.432071[/C][/ROW]
[ROW][C]36[/C][C]-0.01368[/C][C]-0.1291[/C][C]0.448801[/C][/ROW]
[ROW][C]37[/C][C]-0.036609[/C][C]-0.3454[/C][C]0.365315[/C][/ROW]
[ROW][C]38[/C][C]0.003661[/C][C]0.0345[/C][C]0.486262[/C][/ROW]
[ROW][C]39[/C][C]0.132536[/C][C]1.2503[/C][C]0.107225[/C][/ROW]
[ROW][C]40[/C][C]-0.046395[/C][C]-0.4377[/C][C]0.331334[/C][/ROW]
[ROW][C]41[/C][C]0.085041[/C][C]0.8023[/C][C]0.212267[/C][/ROW]
[ROW][C]42[/C][C]-0.102963[/C][C]-0.9714[/C][C]0.167002[/C][/ROW]
[ROW][C]43[/C][C]-0.042199[/C][C]-0.3981[/C][C]0.345753[/C][/ROW]
[ROW][C]44[/C][C]0.012896[/C][C]0.1217[/C][C]0.451723[/C][/ROW]
[ROW][C]45[/C][C]-0.040195[/C][C]-0.3792[/C][C]0.352723[/C][/ROW]
[ROW][C]46[/C][C]-0.077355[/C][C]-0.7298[/C][C]0.233726[/C][/ROW]
[ROW][C]47[/C][C]-0.019671[/C][C]-0.1856[/C][C]0.426601[/C][/ROW]
[ROW][C]48[/C][C]-0.037569[/C][C]-0.3544[/C][C]0.36193[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42202&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42202&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
1-0.374202-3.53020.00033
2-0.177919-1.67850.04838
3-0.02645-0.24950.401762
4-0.196463-1.85340.033567
5-0.301018-2.83980.002797
6-0.146192-1.37920.085648
70.2592252.44550.008216
8-0.015316-0.14450.442718
9-0.006381-0.06020.476067
100.0682230.64360.260741
11-0.219371-2.06950.020697
120.1979641.86760.032555
13-0.076069-0.71760.237432
14-0.071033-0.67010.252257
150.0626780.59130.277907
16-0.049263-0.46470.321625
17-0.03069-0.28950.386427
180.1096231.03420.151927
19-0.011713-0.11050.456132
200.0486550.4590.323674
21-0.057768-0.5450.293565
22-0.147681-1.39320.083512
230.0257210.24270.404417
240.0328940.31030.378522
25-0.085923-0.81060.20988
26-0.086056-0.81190.209522
270.006870.06480.474237
28-0.037717-0.35580.361406
290.0639650.60340.273875
300.0777410.73340.232619
31-0.051644-0.48720.313653
32-0.045073-0.42520.335853
33-0.033219-0.31340.37736
340.0486470.45890.323701
350.0181890.17160.432071
36-0.01368-0.12910.448801
37-0.036609-0.34540.365315
380.0036610.03450.486262
390.1325361.25030.107225
40-0.046395-0.43770.331334
410.0850410.80230.212267
42-0.102963-0.97140.167002
43-0.042199-0.39810.345753
440.0128960.12170.451723
45-0.040195-0.37920.352723
46-0.077355-0.72980.233726
47-0.019671-0.18560.426601
48-0.037569-0.35440.36193



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