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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 computationWed, 27 May 2009 10:56:25 -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/May/27/t1243443456jd9n5ognopoygc2.htm/, Retrieved Thu, 02 May 2024 19:38:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40460, Retrieved Thu, 02 May 2024 19:38:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
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] [900fe54243512ff0c75e5ed1f9ef5c37] [Current]
-   PD    [(Partial) Autocorrelation Function] [Datareeks - Omzet...] [2009-06-07 17:13:23] [74be16979710d4c4e7c6647856088456]
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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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40460&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40460&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40460&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7982317.57270
20.7504727.11960
30.6928636.57310
40.6395246.06710
50.6316785.99260
60.6405916.07720
70.6102455.78930
80.5033594.77533e-06
90.4878224.62796e-06
100.4212023.99596.6e-05
110.3779253.58530.000273
120.4120043.90869e-05
130.2891262.74290.003674
140.2554092.4230.008697
150.1625011.54160.063337
160.0724550.68740.246809
170.0350420.33240.370166
180.0522560.49570.310643
190.0055430.05260.479088
20-0.055237-0.5240.300774
21-0.05267-0.49970.309262
22-0.092761-0.880.190599
23-0.112572-1.0680.144199
24-0.088182-0.83660.202526
25-0.13424-1.27350.103058
26-0.142339-1.35040.090145
27-0.135804-1.28840.100463
28-0.153302-1.45440.074664
29-0.135468-1.28520.101016
30-0.113347-1.07530.142557
31-0.118847-1.12750.131269
32-0.110721-1.05040.148175
33-0.073625-0.69850.243343
34-0.073222-0.69460.244535
35-0.053161-0.50430.30763
36-0.001206-0.01140.495448
37-0.011486-0.1090.456735
38-0.00715-0.06780.473034
390.0252980.240.405439
400.0077280.07330.470861
410.0369790.35080.363274
420.0460840.43720.331511
430.0506520.48050.316009
440.0429930.40790.34217
450.0623220.59120.277921
460.0495710.47030.319651
470.0479560.45490.325121
480.0701180.66520.253813

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.798231 & 7.5727 & 0 \tabularnewline
2 & 0.750472 & 7.1196 & 0 \tabularnewline
3 & 0.692863 & 6.5731 & 0 \tabularnewline
4 & 0.639524 & 6.0671 & 0 \tabularnewline
5 & 0.631678 & 5.9926 & 0 \tabularnewline
6 & 0.640591 & 6.0772 & 0 \tabularnewline
7 & 0.610245 & 5.7893 & 0 \tabularnewline
8 & 0.503359 & 4.7753 & 3e-06 \tabularnewline
9 & 0.487822 & 4.6279 & 6e-06 \tabularnewline
10 & 0.421202 & 3.9959 & 6.6e-05 \tabularnewline
11 & 0.377925 & 3.5853 & 0.000273 \tabularnewline
12 & 0.412004 & 3.9086 & 9e-05 \tabularnewline
13 & 0.289126 & 2.7429 & 0.003674 \tabularnewline
14 & 0.255409 & 2.423 & 0.008697 \tabularnewline
15 & 0.162501 & 1.5416 & 0.063337 \tabularnewline
16 & 0.072455 & 0.6874 & 0.246809 \tabularnewline
17 & 0.035042 & 0.3324 & 0.370166 \tabularnewline
18 & 0.052256 & 0.4957 & 0.310643 \tabularnewline
19 & 0.005543 & 0.0526 & 0.479088 \tabularnewline
20 & -0.055237 & -0.524 & 0.300774 \tabularnewline
21 & -0.05267 & -0.4997 & 0.309262 \tabularnewline
22 & -0.092761 & -0.88 & 0.190599 \tabularnewline
23 & -0.112572 & -1.068 & 0.144199 \tabularnewline
24 & -0.088182 & -0.8366 & 0.202526 \tabularnewline
25 & -0.13424 & -1.2735 & 0.103058 \tabularnewline
26 & -0.142339 & -1.3504 & 0.090145 \tabularnewline
27 & -0.135804 & -1.2884 & 0.100463 \tabularnewline
28 & -0.153302 & -1.4544 & 0.074664 \tabularnewline
29 & -0.135468 & -1.2852 & 0.101016 \tabularnewline
30 & -0.113347 & -1.0753 & 0.142557 \tabularnewline
31 & -0.118847 & -1.1275 & 0.131269 \tabularnewline
32 & -0.110721 & -1.0504 & 0.148175 \tabularnewline
33 & -0.073625 & -0.6985 & 0.243343 \tabularnewline
34 & -0.073222 & -0.6946 & 0.244535 \tabularnewline
35 & -0.053161 & -0.5043 & 0.30763 \tabularnewline
36 & -0.001206 & -0.0114 & 0.495448 \tabularnewline
37 & -0.011486 & -0.109 & 0.456735 \tabularnewline
38 & -0.00715 & -0.0678 & 0.473034 \tabularnewline
39 & 0.025298 & 0.24 & 0.405439 \tabularnewline
40 & 0.007728 & 0.0733 & 0.470861 \tabularnewline
41 & 0.036979 & 0.3508 & 0.363274 \tabularnewline
42 & 0.046084 & 0.4372 & 0.331511 \tabularnewline
43 & 0.050652 & 0.4805 & 0.316009 \tabularnewline
44 & 0.042993 & 0.4079 & 0.34217 \tabularnewline
45 & 0.062322 & 0.5912 & 0.277921 \tabularnewline
46 & 0.049571 & 0.4703 & 0.319651 \tabularnewline
47 & 0.047956 & 0.4549 & 0.325121 \tabularnewline
48 & 0.070118 & 0.6652 & 0.253813 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40460&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]0.798231[/C][C]7.5727[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.750472[/C][C]7.1196[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.692863[/C][C]6.5731[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.639524[/C][C]6.0671[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.631678[/C][C]5.9926[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.640591[/C][C]6.0772[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.610245[/C][C]5.7893[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.503359[/C][C]4.7753[/C][C]3e-06[/C][/ROW]
[ROW][C]9[/C][C]0.487822[/C][C]4.6279[/C][C]6e-06[/C][/ROW]
[ROW][C]10[/C][C]0.421202[/C][C]3.9959[/C][C]6.6e-05[/C][/ROW]
[ROW][C]11[/C][C]0.377925[/C][C]3.5853[/C][C]0.000273[/C][/ROW]
[ROW][C]12[/C][C]0.412004[/C][C]3.9086[/C][C]9e-05[/C][/ROW]
[ROW][C]13[/C][C]0.289126[/C][C]2.7429[/C][C]0.003674[/C][/ROW]
[ROW][C]14[/C][C]0.255409[/C][C]2.423[/C][C]0.008697[/C][/ROW]
[ROW][C]15[/C][C]0.162501[/C][C]1.5416[/C][C]0.063337[/C][/ROW]
[ROW][C]16[/C][C]0.072455[/C][C]0.6874[/C][C]0.246809[/C][/ROW]
[ROW][C]17[/C][C]0.035042[/C][C]0.3324[/C][C]0.370166[/C][/ROW]
[ROW][C]18[/C][C]0.052256[/C][C]0.4957[/C][C]0.310643[/C][/ROW]
[ROW][C]19[/C][C]0.005543[/C][C]0.0526[/C][C]0.479088[/C][/ROW]
[ROW][C]20[/C][C]-0.055237[/C][C]-0.524[/C][C]0.300774[/C][/ROW]
[ROW][C]21[/C][C]-0.05267[/C][C]-0.4997[/C][C]0.309262[/C][/ROW]
[ROW][C]22[/C][C]-0.092761[/C][C]-0.88[/C][C]0.190599[/C][/ROW]
[ROW][C]23[/C][C]-0.112572[/C][C]-1.068[/C][C]0.144199[/C][/ROW]
[ROW][C]24[/C][C]-0.088182[/C][C]-0.8366[/C][C]0.202526[/C][/ROW]
[ROW][C]25[/C][C]-0.13424[/C][C]-1.2735[/C][C]0.103058[/C][/ROW]
[ROW][C]26[/C][C]-0.142339[/C][C]-1.3504[/C][C]0.090145[/C][/ROW]
[ROW][C]27[/C][C]-0.135804[/C][C]-1.2884[/C][C]0.100463[/C][/ROW]
[ROW][C]28[/C][C]-0.153302[/C][C]-1.4544[/C][C]0.074664[/C][/ROW]
[ROW][C]29[/C][C]-0.135468[/C][C]-1.2852[/C][C]0.101016[/C][/ROW]
[ROW][C]30[/C][C]-0.113347[/C][C]-1.0753[/C][C]0.142557[/C][/ROW]
[ROW][C]31[/C][C]-0.118847[/C][C]-1.1275[/C][C]0.131269[/C][/ROW]
[ROW][C]32[/C][C]-0.110721[/C][C]-1.0504[/C][C]0.148175[/C][/ROW]
[ROW][C]33[/C][C]-0.073625[/C][C]-0.6985[/C][C]0.243343[/C][/ROW]
[ROW][C]34[/C][C]-0.073222[/C][C]-0.6946[/C][C]0.244535[/C][/ROW]
[ROW][C]35[/C][C]-0.053161[/C][C]-0.5043[/C][C]0.30763[/C][/ROW]
[ROW][C]36[/C][C]-0.001206[/C][C]-0.0114[/C][C]0.495448[/C][/ROW]
[ROW][C]37[/C][C]-0.011486[/C][C]-0.109[/C][C]0.456735[/C][/ROW]
[ROW][C]38[/C][C]-0.00715[/C][C]-0.0678[/C][C]0.473034[/C][/ROW]
[ROW][C]39[/C][C]0.025298[/C][C]0.24[/C][C]0.405439[/C][/ROW]
[ROW][C]40[/C][C]0.007728[/C][C]0.0733[/C][C]0.470861[/C][/ROW]
[ROW][C]41[/C][C]0.036979[/C][C]0.3508[/C][C]0.363274[/C][/ROW]
[ROW][C]42[/C][C]0.046084[/C][C]0.4372[/C][C]0.331511[/C][/ROW]
[ROW][C]43[/C][C]0.050652[/C][C]0.4805[/C][C]0.316009[/C][/ROW]
[ROW][C]44[/C][C]0.042993[/C][C]0.4079[/C][C]0.34217[/C][/ROW]
[ROW][C]45[/C][C]0.062322[/C][C]0.5912[/C][C]0.277921[/C][/ROW]
[ROW][C]46[/C][C]0.049571[/C][C]0.4703[/C][C]0.319651[/C][/ROW]
[ROW][C]47[/C][C]0.047956[/C][C]0.4549[/C][C]0.325121[/C][/ROW]
[ROW][C]48[/C][C]0.070118[/C][C]0.6652[/C][C]0.253813[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40460&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40460&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
10.7982317.57270
20.7504727.11960
30.6928636.57310
40.6395246.06710
50.6316785.99260
60.6405916.07720
70.6102455.78930
80.5033594.77533e-06
90.4878224.62796e-06
100.4212023.99596.6e-05
110.3779253.58530.000273
120.4120043.90869e-05
130.2891262.74290.003674
140.2554092.4230.008697
150.1625011.54160.063337
160.0724550.68740.246809
170.0350420.33240.370166
180.0522560.49570.310643
190.0055430.05260.479088
20-0.055237-0.5240.300774
21-0.05267-0.49970.309262
22-0.092761-0.880.190599
23-0.112572-1.0680.144199
24-0.088182-0.83660.202526
25-0.13424-1.27350.103058
26-0.142339-1.35040.090145
27-0.135804-1.28840.100463
28-0.153302-1.45440.074664
29-0.135468-1.28520.101016
30-0.113347-1.07530.142557
31-0.118847-1.12750.131269
32-0.110721-1.05040.148175
33-0.073625-0.69850.243343
34-0.073222-0.69460.244535
35-0.053161-0.50430.30763
36-0.001206-0.01140.495448
37-0.011486-0.1090.456735
38-0.00715-0.06780.473034
390.0252980.240.405439
400.0077280.07330.470861
410.0369790.35080.363274
420.0460840.43720.331511
430.0506520.48050.316009
440.0429930.40790.34217
450.0623220.59120.277921
460.0495710.47030.319651
470.0479560.45490.325121
480.0701180.66520.253813







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7982317.57270
20.3122672.96240.001952
30.096550.9160.18107
40.0259340.2460.403109
50.1340141.27140.103437
60.1684391.5980.056779
70.0027370.0260.489671
8-0.281777-2.67320.004461
90.0393070.37290.355051
10-0.040271-0.3820.351664
11-0.059358-0.56310.287377
120.1521071.4430.076244
13-0.336909-3.19620.000961
140.0052790.05010.480084
15-0.133646-1.26790.104056
16-0.220078-2.08780.019819
170.064090.6080.272355
180.1209641.14760.127094
19-0.095529-0.90630.183608
200.0266830.25310.400371
210.0464790.44090.330158
220.1837231.7430.042379
230.0610150.57880.282073
24-0.070238-0.66630.25345
250.0051510.04890.480567
260.0385010.36520.357891
270.1355941.28640.100809
28-0.012338-0.1170.453543
290.0165370.15690.437843
30-0.027936-0.2650.3958
31-0.028688-0.27220.393061
32-0.003831-0.03630.485546
330.0153930.1460.44211
34-0.016836-0.15970.436731
350.0118760.11270.455274
36-0.037878-0.35930.360089
370.0013750.0130.494811
380.0027590.02620.48959
390.0206650.1960.422508
40-0.099618-0.94510.17358
41-0.023312-0.22120.412736
42-0.042048-0.39890.345456
430.0378920.35950.36004
44-0.002649-0.02510.490003
45-0.028186-0.26740.394889
46-0.029147-0.27650.391393
470.0014820.01410.494408
480.0200910.19060.424634

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.798231 & 7.5727 & 0 \tabularnewline
2 & 0.312267 & 2.9624 & 0.001952 \tabularnewline
3 & 0.09655 & 0.916 & 0.18107 \tabularnewline
4 & 0.025934 & 0.246 & 0.403109 \tabularnewline
5 & 0.134014 & 1.2714 & 0.103437 \tabularnewline
6 & 0.168439 & 1.598 & 0.056779 \tabularnewline
7 & 0.002737 & 0.026 & 0.489671 \tabularnewline
8 & -0.281777 & -2.6732 & 0.004461 \tabularnewline
9 & 0.039307 & 0.3729 & 0.355051 \tabularnewline
10 & -0.040271 & -0.382 & 0.351664 \tabularnewline
11 & -0.059358 & -0.5631 & 0.287377 \tabularnewline
12 & 0.152107 & 1.443 & 0.076244 \tabularnewline
13 & -0.336909 & -3.1962 & 0.000961 \tabularnewline
14 & 0.005279 & 0.0501 & 0.480084 \tabularnewline
15 & -0.133646 & -1.2679 & 0.104056 \tabularnewline
16 & -0.220078 & -2.0878 & 0.019819 \tabularnewline
17 & 0.06409 & 0.608 & 0.272355 \tabularnewline
18 & 0.120964 & 1.1476 & 0.127094 \tabularnewline
19 & -0.095529 & -0.9063 & 0.183608 \tabularnewline
20 & 0.026683 & 0.2531 & 0.400371 \tabularnewline
21 & 0.046479 & 0.4409 & 0.330158 \tabularnewline
22 & 0.183723 & 1.743 & 0.042379 \tabularnewline
23 & 0.061015 & 0.5788 & 0.282073 \tabularnewline
24 & -0.070238 & -0.6663 & 0.25345 \tabularnewline
25 & 0.005151 & 0.0489 & 0.480567 \tabularnewline
26 & 0.038501 & 0.3652 & 0.357891 \tabularnewline
27 & 0.135594 & 1.2864 & 0.100809 \tabularnewline
28 & -0.012338 & -0.117 & 0.453543 \tabularnewline
29 & 0.016537 & 0.1569 & 0.437843 \tabularnewline
30 & -0.027936 & -0.265 & 0.3958 \tabularnewline
31 & -0.028688 & -0.2722 & 0.393061 \tabularnewline
32 & -0.003831 & -0.0363 & 0.485546 \tabularnewline
33 & 0.015393 & 0.146 & 0.44211 \tabularnewline
34 & -0.016836 & -0.1597 & 0.436731 \tabularnewline
35 & 0.011876 & 0.1127 & 0.455274 \tabularnewline
36 & -0.037878 & -0.3593 & 0.360089 \tabularnewline
37 & 0.001375 & 0.013 & 0.494811 \tabularnewline
38 & 0.002759 & 0.0262 & 0.48959 \tabularnewline
39 & 0.020665 & 0.196 & 0.422508 \tabularnewline
40 & -0.099618 & -0.9451 & 0.17358 \tabularnewline
41 & -0.023312 & -0.2212 & 0.412736 \tabularnewline
42 & -0.042048 & -0.3989 & 0.345456 \tabularnewline
43 & 0.037892 & 0.3595 & 0.36004 \tabularnewline
44 & -0.002649 & -0.0251 & 0.490003 \tabularnewline
45 & -0.028186 & -0.2674 & 0.394889 \tabularnewline
46 & -0.029147 & -0.2765 & 0.391393 \tabularnewline
47 & 0.001482 & 0.0141 & 0.494408 \tabularnewline
48 & 0.020091 & 0.1906 & 0.424634 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40460&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]0.798231[/C][C]7.5727[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.312267[/C][C]2.9624[/C][C]0.001952[/C][/ROW]
[ROW][C]3[/C][C]0.09655[/C][C]0.916[/C][C]0.18107[/C][/ROW]
[ROW][C]4[/C][C]0.025934[/C][C]0.246[/C][C]0.403109[/C][/ROW]
[ROW][C]5[/C][C]0.134014[/C][C]1.2714[/C][C]0.103437[/C][/ROW]
[ROW][C]6[/C][C]0.168439[/C][C]1.598[/C][C]0.056779[/C][/ROW]
[ROW][C]7[/C][C]0.002737[/C][C]0.026[/C][C]0.489671[/C][/ROW]
[ROW][C]8[/C][C]-0.281777[/C][C]-2.6732[/C][C]0.004461[/C][/ROW]
[ROW][C]9[/C][C]0.039307[/C][C]0.3729[/C][C]0.355051[/C][/ROW]
[ROW][C]10[/C][C]-0.040271[/C][C]-0.382[/C][C]0.351664[/C][/ROW]
[ROW][C]11[/C][C]-0.059358[/C][C]-0.5631[/C][C]0.287377[/C][/ROW]
[ROW][C]12[/C][C]0.152107[/C][C]1.443[/C][C]0.076244[/C][/ROW]
[ROW][C]13[/C][C]-0.336909[/C][C]-3.1962[/C][C]0.000961[/C][/ROW]
[ROW][C]14[/C][C]0.005279[/C][C]0.0501[/C][C]0.480084[/C][/ROW]
[ROW][C]15[/C][C]-0.133646[/C][C]-1.2679[/C][C]0.104056[/C][/ROW]
[ROW][C]16[/C][C]-0.220078[/C][C]-2.0878[/C][C]0.019819[/C][/ROW]
[ROW][C]17[/C][C]0.06409[/C][C]0.608[/C][C]0.272355[/C][/ROW]
[ROW][C]18[/C][C]0.120964[/C][C]1.1476[/C][C]0.127094[/C][/ROW]
[ROW][C]19[/C][C]-0.095529[/C][C]-0.9063[/C][C]0.183608[/C][/ROW]
[ROW][C]20[/C][C]0.026683[/C][C]0.2531[/C][C]0.400371[/C][/ROW]
[ROW][C]21[/C][C]0.046479[/C][C]0.4409[/C][C]0.330158[/C][/ROW]
[ROW][C]22[/C][C]0.183723[/C][C]1.743[/C][C]0.042379[/C][/ROW]
[ROW][C]23[/C][C]0.061015[/C][C]0.5788[/C][C]0.282073[/C][/ROW]
[ROW][C]24[/C][C]-0.070238[/C][C]-0.6663[/C][C]0.25345[/C][/ROW]
[ROW][C]25[/C][C]0.005151[/C][C]0.0489[/C][C]0.480567[/C][/ROW]
[ROW][C]26[/C][C]0.038501[/C][C]0.3652[/C][C]0.357891[/C][/ROW]
[ROW][C]27[/C][C]0.135594[/C][C]1.2864[/C][C]0.100809[/C][/ROW]
[ROW][C]28[/C][C]-0.012338[/C][C]-0.117[/C][C]0.453543[/C][/ROW]
[ROW][C]29[/C][C]0.016537[/C][C]0.1569[/C][C]0.437843[/C][/ROW]
[ROW][C]30[/C][C]-0.027936[/C][C]-0.265[/C][C]0.3958[/C][/ROW]
[ROW][C]31[/C][C]-0.028688[/C][C]-0.2722[/C][C]0.393061[/C][/ROW]
[ROW][C]32[/C][C]-0.003831[/C][C]-0.0363[/C][C]0.485546[/C][/ROW]
[ROW][C]33[/C][C]0.015393[/C][C]0.146[/C][C]0.44211[/C][/ROW]
[ROW][C]34[/C][C]-0.016836[/C][C]-0.1597[/C][C]0.436731[/C][/ROW]
[ROW][C]35[/C][C]0.011876[/C][C]0.1127[/C][C]0.455274[/C][/ROW]
[ROW][C]36[/C][C]-0.037878[/C][C]-0.3593[/C][C]0.360089[/C][/ROW]
[ROW][C]37[/C][C]0.001375[/C][C]0.013[/C][C]0.494811[/C][/ROW]
[ROW][C]38[/C][C]0.002759[/C][C]0.0262[/C][C]0.48959[/C][/ROW]
[ROW][C]39[/C][C]0.020665[/C][C]0.196[/C][C]0.422508[/C][/ROW]
[ROW][C]40[/C][C]-0.099618[/C][C]-0.9451[/C][C]0.17358[/C][/ROW]
[ROW][C]41[/C][C]-0.023312[/C][C]-0.2212[/C][C]0.412736[/C][/ROW]
[ROW][C]42[/C][C]-0.042048[/C][C]-0.3989[/C][C]0.345456[/C][/ROW]
[ROW][C]43[/C][C]0.037892[/C][C]0.3595[/C][C]0.36004[/C][/ROW]
[ROW][C]44[/C][C]-0.002649[/C][C]-0.0251[/C][C]0.490003[/C][/ROW]
[ROW][C]45[/C][C]-0.028186[/C][C]-0.2674[/C][C]0.394889[/C][/ROW]
[ROW][C]46[/C][C]-0.029147[/C][C]-0.2765[/C][C]0.391393[/C][/ROW]
[ROW][C]47[/C][C]0.001482[/C][C]0.0141[/C][C]0.494408[/C][/ROW]
[ROW][C]48[/C][C]0.020091[/C][C]0.1906[/C][C]0.424634[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40460&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40460&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
10.7982317.57270
20.3122672.96240.001952
30.096550.9160.18107
40.0259340.2460.403109
50.1340141.27140.103437
60.1684391.5980.056779
70.0027370.0260.489671
8-0.281777-2.67320.004461
90.0393070.37290.355051
10-0.040271-0.3820.351664
11-0.059358-0.56310.287377
120.1521071.4430.076244
13-0.336909-3.19620.000961
140.0052790.05010.480084
15-0.133646-1.26790.104056
16-0.220078-2.08780.019819
170.064090.6080.272355
180.1209641.14760.127094
19-0.095529-0.90630.183608
200.0266830.25310.400371
210.0464790.44090.330158
220.1837231.7430.042379
230.0610150.57880.282073
24-0.070238-0.66630.25345
250.0051510.04890.480567
260.0385010.36520.357891
270.1355941.28640.100809
28-0.012338-0.1170.453543
290.0165370.15690.437843
30-0.027936-0.2650.3958
31-0.028688-0.27220.393061
32-0.003831-0.03630.485546
330.0153930.1460.44211
34-0.016836-0.15970.436731
350.0118760.11270.455274
36-0.037878-0.35930.360089
370.0013750.0130.494811
380.0027590.02620.48959
390.0206650.1960.422508
40-0.099618-0.94510.17358
41-0.023312-0.22120.412736
42-0.042048-0.39890.345456
430.0378920.35950.36004
44-0.002649-0.02510.490003
45-0.028186-0.26740.394889
46-0.029147-0.27650.391393
470.0014820.01410.494408
480.0200910.19060.424634



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 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')