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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, 14 May 2009 18:44:14 -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/15/t1242348688ln6idn3uoquw3c0.htm/, Retrieved Tue, 14 May 2024 06:00:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40125, Retrieved Tue, 14 May 2024 06:00:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [datareeks-persone...] [2009-05-15 00:44:14] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
5,44
5,44
5,44
5,44
5,44
5,49
5,49
5,49
5,49
5,49
5,49
5,60
5,60
5,60
5,60
5,60
5,60
5,60
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,82
5,82
5,95
5,95
5,95
5,95
5,95
5,95
6,02
6,02
6,05
6,05
6,05
6,12
6,12
6,12
6,12
6,12
6,12
6,12
6,12
6,17
6,17
6,17
6,17
6,17
6,28
6,27
6,28
6,28
6,27
6,27
6,28
6,59
6,59
6,59
6,59
6,59
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,79
6,79
6,79
6,81
6,80
6,80
6,85
6,85
6,85
6,85
6,85
6,85
6,86
6,86
6,88
6,88
6,88
6,91
6,91
6,91
6,91
6,99
6,99
6,99
7,02
7,02
7,05
7,05
7,05
7,05
7,10
7,10
7,10
7,10
7,12
7,13
7,18




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=40125&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=40125&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40125&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
10.97473110.63310
20.95061310.370
30.92604110.10190
40.9017759.83720
50.8774419.57180
60.853579.31130
70.8289729.0430
80.8042978.77380
90.779078.49860
100.7533728.21830
110.727467.93570
120.704517.68530
130.6808667.42740
140.6571427.16860
150.6332966.90840
160.6091986.64560
170.5864516.39740
180.5632146.14390
190.5410415.90210
200.5185745.6570
210.496135.41210
220.4730855.16070
230.4482264.88962e-06
240.4234614.61945e-06
250.3976224.33751.5e-05
260.371224.04954.6e-05
270.3441663.75440.000135
280.3209923.50160.000326
290.2973513.24370.000766
300.276323.01430.001574
310.2547052.77850.003174
320.2331342.54320.006133
330.2114182.30630.011412
340.1880972.05190.021187
350.1648291.79810.037351
360.1428511.55830.060907
370.120331.31260.095914
380.102291.11580.133368
390.0839970.91630.180683
400.0654570.7140.238297
410.0486630.53090.298256
420.0317760.34660.364737
430.0135980.14830.441163
44-0.005439-0.05930.476393
45-0.02454-0.26770.394697
46-0.043812-0.47790.316786
47-0.063389-0.69150.2453
48-0.08344-0.91020.182274

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.974731 & 10.6331 & 0 \tabularnewline
2 & 0.950613 & 10.37 & 0 \tabularnewline
3 & 0.926041 & 10.1019 & 0 \tabularnewline
4 & 0.901775 & 9.8372 & 0 \tabularnewline
5 & 0.877441 & 9.5718 & 0 \tabularnewline
6 & 0.85357 & 9.3113 & 0 \tabularnewline
7 & 0.828972 & 9.043 & 0 \tabularnewline
8 & 0.804297 & 8.7738 & 0 \tabularnewline
9 & 0.77907 & 8.4986 & 0 \tabularnewline
10 & 0.753372 & 8.2183 & 0 \tabularnewline
11 & 0.72746 & 7.9357 & 0 \tabularnewline
12 & 0.70451 & 7.6853 & 0 \tabularnewline
13 & 0.680866 & 7.4274 & 0 \tabularnewline
14 & 0.657142 & 7.1686 & 0 \tabularnewline
15 & 0.633296 & 6.9084 & 0 \tabularnewline
16 & 0.609198 & 6.6456 & 0 \tabularnewline
17 & 0.586451 & 6.3974 & 0 \tabularnewline
18 & 0.563214 & 6.1439 & 0 \tabularnewline
19 & 0.541041 & 5.9021 & 0 \tabularnewline
20 & 0.518574 & 5.657 & 0 \tabularnewline
21 & 0.49613 & 5.4121 & 0 \tabularnewline
22 & 0.473085 & 5.1607 & 0 \tabularnewline
23 & 0.448226 & 4.8896 & 2e-06 \tabularnewline
24 & 0.423461 & 4.6194 & 5e-06 \tabularnewline
25 & 0.397622 & 4.3375 & 1.5e-05 \tabularnewline
26 & 0.37122 & 4.0495 & 4.6e-05 \tabularnewline
27 & 0.344166 & 3.7544 & 0.000135 \tabularnewline
28 & 0.320992 & 3.5016 & 0.000326 \tabularnewline
29 & 0.297351 & 3.2437 & 0.000766 \tabularnewline
30 & 0.27632 & 3.0143 & 0.001574 \tabularnewline
31 & 0.254705 & 2.7785 & 0.003174 \tabularnewline
32 & 0.233134 & 2.5432 & 0.006133 \tabularnewline
33 & 0.211418 & 2.3063 & 0.011412 \tabularnewline
34 & 0.188097 & 2.0519 & 0.021187 \tabularnewline
35 & 0.164829 & 1.7981 & 0.037351 \tabularnewline
36 & 0.142851 & 1.5583 & 0.060907 \tabularnewline
37 & 0.12033 & 1.3126 & 0.095914 \tabularnewline
38 & 0.10229 & 1.1158 & 0.133368 \tabularnewline
39 & 0.083997 & 0.9163 & 0.180683 \tabularnewline
40 & 0.065457 & 0.714 & 0.238297 \tabularnewline
41 & 0.048663 & 0.5309 & 0.298256 \tabularnewline
42 & 0.031776 & 0.3466 & 0.364737 \tabularnewline
43 & 0.013598 & 0.1483 & 0.441163 \tabularnewline
44 & -0.005439 & -0.0593 & 0.476393 \tabularnewline
45 & -0.02454 & -0.2677 & 0.394697 \tabularnewline
46 & -0.043812 & -0.4779 & 0.316786 \tabularnewline
47 & -0.063389 & -0.6915 & 0.2453 \tabularnewline
48 & -0.08344 & -0.9102 & 0.182274 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40125&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]0.974731[/C][C]10.6331[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.950613[/C][C]10.37[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.926041[/C][C]10.1019[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.901775[/C][C]9.8372[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.877441[/C][C]9.5718[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.85357[/C][C]9.3113[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.828972[/C][C]9.043[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.804297[/C][C]8.7738[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.77907[/C][C]8.4986[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.753372[/C][C]8.2183[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.72746[/C][C]7.9357[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.70451[/C][C]7.6853[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.680866[/C][C]7.4274[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.657142[/C][C]7.1686[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.633296[/C][C]6.9084[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.609198[/C][C]6.6456[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.586451[/C][C]6.3974[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.563214[/C][C]6.1439[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.541041[/C][C]5.9021[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.518574[/C][C]5.657[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.49613[/C][C]5.4121[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.473085[/C][C]5.1607[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.448226[/C][C]4.8896[/C][C]2e-06[/C][/ROW]
[ROW][C]24[/C][C]0.423461[/C][C]4.6194[/C][C]5e-06[/C][/ROW]
[ROW][C]25[/C][C]0.397622[/C][C]4.3375[/C][C]1.5e-05[/C][/ROW]
[ROW][C]26[/C][C]0.37122[/C][C]4.0495[/C][C]4.6e-05[/C][/ROW]
[ROW][C]27[/C][C]0.344166[/C][C]3.7544[/C][C]0.000135[/C][/ROW]
[ROW][C]28[/C][C]0.320992[/C][C]3.5016[/C][C]0.000326[/C][/ROW]
[ROW][C]29[/C][C]0.297351[/C][C]3.2437[/C][C]0.000766[/C][/ROW]
[ROW][C]30[/C][C]0.27632[/C][C]3.0143[/C][C]0.001574[/C][/ROW]
[ROW][C]31[/C][C]0.254705[/C][C]2.7785[/C][C]0.003174[/C][/ROW]
[ROW][C]32[/C][C]0.233134[/C][C]2.5432[/C][C]0.006133[/C][/ROW]
[ROW][C]33[/C][C]0.211418[/C][C]2.3063[/C][C]0.011412[/C][/ROW]
[ROW][C]34[/C][C]0.188097[/C][C]2.0519[/C][C]0.021187[/C][/ROW]
[ROW][C]35[/C][C]0.164829[/C][C]1.7981[/C][C]0.037351[/C][/ROW]
[ROW][C]36[/C][C]0.142851[/C][C]1.5583[/C][C]0.060907[/C][/ROW]
[ROW][C]37[/C][C]0.12033[/C][C]1.3126[/C][C]0.095914[/C][/ROW]
[ROW][C]38[/C][C]0.10229[/C][C]1.1158[/C][C]0.133368[/C][/ROW]
[ROW][C]39[/C][C]0.083997[/C][C]0.9163[/C][C]0.180683[/C][/ROW]
[ROW][C]40[/C][C]0.065457[/C][C]0.714[/C][C]0.238297[/C][/ROW]
[ROW][C]41[/C][C]0.048663[/C][C]0.5309[/C][C]0.298256[/C][/ROW]
[ROW][C]42[/C][C]0.031776[/C][C]0.3466[/C][C]0.364737[/C][/ROW]
[ROW][C]43[/C][C]0.013598[/C][C]0.1483[/C][C]0.441163[/C][/ROW]
[ROW][C]44[/C][C]-0.005439[/C][C]-0.0593[/C][C]0.476393[/C][/ROW]
[ROW][C]45[/C][C]-0.02454[/C][C]-0.2677[/C][C]0.394697[/C][/ROW]
[ROW][C]46[/C][C]-0.043812[/C][C]-0.4779[/C][C]0.316786[/C][/ROW]
[ROW][C]47[/C][C]-0.063389[/C][C]-0.6915[/C][C]0.2453[/C][/ROW]
[ROW][C]48[/C][C]-0.08344[/C][C]-0.9102[/C][C]0.182274[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40125&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40125&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
10.97473110.63310
20.95061310.370
30.92604110.10190
40.9017759.83720
50.8774419.57180
60.853579.31130
70.8289729.0430
80.8042978.77380
90.779078.49860
100.7533728.21830
110.727467.93570
120.704517.68530
130.6808667.42740
140.6571427.16860
150.6332966.90840
160.6091986.64560
170.5864516.39740
180.5632146.14390
190.5410415.90210
200.5185745.6570
210.496135.41210
220.4730855.16070
230.4482264.88962e-06
240.4234614.61945e-06
250.3976224.33751.5e-05
260.371224.04954.6e-05
270.3441663.75440.000135
280.3209923.50160.000326
290.2973513.24370.000766
300.276323.01430.001574
310.2547052.77850.003174
320.2331342.54320.006133
330.2114182.30630.011412
340.1880972.05190.021187
350.1648291.79810.037351
360.1428511.55830.060907
370.120331.31260.095914
380.102291.11580.133368
390.0839970.91630.180683
400.0654570.7140.238297
410.0486630.53090.298256
420.0317760.34660.364737
430.0135980.14830.441163
44-0.005439-0.05930.476393
45-0.02454-0.26770.394697
46-0.043812-0.47790.316786
47-0.063389-0.69150.2453
48-0.08344-0.91020.182274







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.97473110.63310
20.0102940.11230.45539
3-0.020971-0.22880.40972
4-0.007018-0.07660.46955
5-0.01376-0.15010.440467
6-0.003859-0.04210.483245
7-0.026975-0.29430.384536
8-0.015821-0.17260.431637
9-0.024487-0.26710.394917
10-0.024259-0.26460.395874
11-0.019156-0.2090.417416
120.0441110.48120.315629
13-0.0247-0.26940.394028
14-0.0174-0.18980.424888
15-0.015888-0.17330.431348
16-0.019726-0.21520.414997
170.0133810.1460.442098
18-0.024591-0.26830.394485
190.0058670.0640.474536
20-0.020129-0.21960.413285
21-0.016117-0.17580.43037
22-0.026424-0.28820.386829
23-0.050253-0.54820.292294
24-0.017249-0.18820.425535
25-0.039936-0.43570.331939
26-0.031635-0.34510.365314
27-0.033877-0.36950.356188
280.0608270.66350.254132
29-0.024381-0.2660.395365
300.0360460.39320.347432
31-0.025276-0.27570.391617
32-0.016919-0.18460.426943
33-0.017945-0.19580.422569
34-0.057563-0.62790.265622
35-0.015946-0.1740.431098
360.0003860.00420.498324
37-0.031066-0.33890.367643
380.0677150.73870.230776
39-0.011829-0.1290.448772
40-0.025086-0.27370.39241
410.022880.24960.401666
42-0.021278-0.23210.408423
43-0.044594-0.48650.313767
44-0.035032-0.38220.351515
45-0.02926-0.31920.37507
46-0.016077-0.17540.430542
47-0.028077-0.30630.379963
48-0.030162-0.3290.371358

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.974731 & 10.6331 & 0 \tabularnewline
2 & 0.010294 & 0.1123 & 0.45539 \tabularnewline
3 & -0.020971 & -0.2288 & 0.40972 \tabularnewline
4 & -0.007018 & -0.0766 & 0.46955 \tabularnewline
5 & -0.01376 & -0.1501 & 0.440467 \tabularnewline
6 & -0.003859 & -0.0421 & 0.483245 \tabularnewline
7 & -0.026975 & -0.2943 & 0.384536 \tabularnewline
8 & -0.015821 & -0.1726 & 0.431637 \tabularnewline
9 & -0.024487 & -0.2671 & 0.394917 \tabularnewline
10 & -0.024259 & -0.2646 & 0.395874 \tabularnewline
11 & -0.019156 & -0.209 & 0.417416 \tabularnewline
12 & 0.044111 & 0.4812 & 0.315629 \tabularnewline
13 & -0.0247 & -0.2694 & 0.394028 \tabularnewline
14 & -0.0174 & -0.1898 & 0.424888 \tabularnewline
15 & -0.015888 & -0.1733 & 0.431348 \tabularnewline
16 & -0.019726 & -0.2152 & 0.414997 \tabularnewline
17 & 0.013381 & 0.146 & 0.442098 \tabularnewline
18 & -0.024591 & -0.2683 & 0.394485 \tabularnewline
19 & 0.005867 & 0.064 & 0.474536 \tabularnewline
20 & -0.020129 & -0.2196 & 0.413285 \tabularnewline
21 & -0.016117 & -0.1758 & 0.43037 \tabularnewline
22 & -0.026424 & -0.2882 & 0.386829 \tabularnewline
23 & -0.050253 & -0.5482 & 0.292294 \tabularnewline
24 & -0.017249 & -0.1882 & 0.425535 \tabularnewline
25 & -0.039936 & -0.4357 & 0.331939 \tabularnewline
26 & -0.031635 & -0.3451 & 0.365314 \tabularnewline
27 & -0.033877 & -0.3695 & 0.356188 \tabularnewline
28 & 0.060827 & 0.6635 & 0.254132 \tabularnewline
29 & -0.024381 & -0.266 & 0.395365 \tabularnewline
30 & 0.036046 & 0.3932 & 0.347432 \tabularnewline
31 & -0.025276 & -0.2757 & 0.391617 \tabularnewline
32 & -0.016919 & -0.1846 & 0.426943 \tabularnewline
33 & -0.017945 & -0.1958 & 0.422569 \tabularnewline
34 & -0.057563 & -0.6279 & 0.265622 \tabularnewline
35 & -0.015946 & -0.174 & 0.431098 \tabularnewline
36 & 0.000386 & 0.0042 & 0.498324 \tabularnewline
37 & -0.031066 & -0.3389 & 0.367643 \tabularnewline
38 & 0.067715 & 0.7387 & 0.230776 \tabularnewline
39 & -0.011829 & -0.129 & 0.448772 \tabularnewline
40 & -0.025086 & -0.2737 & 0.39241 \tabularnewline
41 & 0.02288 & 0.2496 & 0.401666 \tabularnewline
42 & -0.021278 & -0.2321 & 0.408423 \tabularnewline
43 & -0.044594 & -0.4865 & 0.313767 \tabularnewline
44 & -0.035032 & -0.3822 & 0.351515 \tabularnewline
45 & -0.02926 & -0.3192 & 0.37507 \tabularnewline
46 & -0.016077 & -0.1754 & 0.430542 \tabularnewline
47 & -0.028077 & -0.3063 & 0.379963 \tabularnewline
48 & -0.030162 & -0.329 & 0.371358 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40125&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]0.974731[/C][C]10.6331[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.010294[/C][C]0.1123[/C][C]0.45539[/C][/ROW]
[ROW][C]3[/C][C]-0.020971[/C][C]-0.2288[/C][C]0.40972[/C][/ROW]
[ROW][C]4[/C][C]-0.007018[/C][C]-0.0766[/C][C]0.46955[/C][/ROW]
[ROW][C]5[/C][C]-0.01376[/C][C]-0.1501[/C][C]0.440467[/C][/ROW]
[ROW][C]6[/C][C]-0.003859[/C][C]-0.0421[/C][C]0.483245[/C][/ROW]
[ROW][C]7[/C][C]-0.026975[/C][C]-0.2943[/C][C]0.384536[/C][/ROW]
[ROW][C]8[/C][C]-0.015821[/C][C]-0.1726[/C][C]0.431637[/C][/ROW]
[ROW][C]9[/C][C]-0.024487[/C][C]-0.2671[/C][C]0.394917[/C][/ROW]
[ROW][C]10[/C][C]-0.024259[/C][C]-0.2646[/C][C]0.395874[/C][/ROW]
[ROW][C]11[/C][C]-0.019156[/C][C]-0.209[/C][C]0.417416[/C][/ROW]
[ROW][C]12[/C][C]0.044111[/C][C]0.4812[/C][C]0.315629[/C][/ROW]
[ROW][C]13[/C][C]-0.0247[/C][C]-0.2694[/C][C]0.394028[/C][/ROW]
[ROW][C]14[/C][C]-0.0174[/C][C]-0.1898[/C][C]0.424888[/C][/ROW]
[ROW][C]15[/C][C]-0.015888[/C][C]-0.1733[/C][C]0.431348[/C][/ROW]
[ROW][C]16[/C][C]-0.019726[/C][C]-0.2152[/C][C]0.414997[/C][/ROW]
[ROW][C]17[/C][C]0.013381[/C][C]0.146[/C][C]0.442098[/C][/ROW]
[ROW][C]18[/C][C]-0.024591[/C][C]-0.2683[/C][C]0.394485[/C][/ROW]
[ROW][C]19[/C][C]0.005867[/C][C]0.064[/C][C]0.474536[/C][/ROW]
[ROW][C]20[/C][C]-0.020129[/C][C]-0.2196[/C][C]0.413285[/C][/ROW]
[ROW][C]21[/C][C]-0.016117[/C][C]-0.1758[/C][C]0.43037[/C][/ROW]
[ROW][C]22[/C][C]-0.026424[/C][C]-0.2882[/C][C]0.386829[/C][/ROW]
[ROW][C]23[/C][C]-0.050253[/C][C]-0.5482[/C][C]0.292294[/C][/ROW]
[ROW][C]24[/C][C]-0.017249[/C][C]-0.1882[/C][C]0.425535[/C][/ROW]
[ROW][C]25[/C][C]-0.039936[/C][C]-0.4357[/C][C]0.331939[/C][/ROW]
[ROW][C]26[/C][C]-0.031635[/C][C]-0.3451[/C][C]0.365314[/C][/ROW]
[ROW][C]27[/C][C]-0.033877[/C][C]-0.3695[/C][C]0.356188[/C][/ROW]
[ROW][C]28[/C][C]0.060827[/C][C]0.6635[/C][C]0.254132[/C][/ROW]
[ROW][C]29[/C][C]-0.024381[/C][C]-0.266[/C][C]0.395365[/C][/ROW]
[ROW][C]30[/C][C]0.036046[/C][C]0.3932[/C][C]0.347432[/C][/ROW]
[ROW][C]31[/C][C]-0.025276[/C][C]-0.2757[/C][C]0.391617[/C][/ROW]
[ROW][C]32[/C][C]-0.016919[/C][C]-0.1846[/C][C]0.426943[/C][/ROW]
[ROW][C]33[/C][C]-0.017945[/C][C]-0.1958[/C][C]0.422569[/C][/ROW]
[ROW][C]34[/C][C]-0.057563[/C][C]-0.6279[/C][C]0.265622[/C][/ROW]
[ROW][C]35[/C][C]-0.015946[/C][C]-0.174[/C][C]0.431098[/C][/ROW]
[ROW][C]36[/C][C]0.000386[/C][C]0.0042[/C][C]0.498324[/C][/ROW]
[ROW][C]37[/C][C]-0.031066[/C][C]-0.3389[/C][C]0.367643[/C][/ROW]
[ROW][C]38[/C][C]0.067715[/C][C]0.7387[/C][C]0.230776[/C][/ROW]
[ROW][C]39[/C][C]-0.011829[/C][C]-0.129[/C][C]0.448772[/C][/ROW]
[ROW][C]40[/C][C]-0.025086[/C][C]-0.2737[/C][C]0.39241[/C][/ROW]
[ROW][C]41[/C][C]0.02288[/C][C]0.2496[/C][C]0.401666[/C][/ROW]
[ROW][C]42[/C][C]-0.021278[/C][C]-0.2321[/C][C]0.408423[/C][/ROW]
[ROW][C]43[/C][C]-0.044594[/C][C]-0.4865[/C][C]0.313767[/C][/ROW]
[ROW][C]44[/C][C]-0.035032[/C][C]-0.3822[/C][C]0.351515[/C][/ROW]
[ROW][C]45[/C][C]-0.02926[/C][C]-0.3192[/C][C]0.37507[/C][/ROW]
[ROW][C]46[/C][C]-0.016077[/C][C]-0.1754[/C][C]0.430542[/C][/ROW]
[ROW][C]47[/C][C]-0.028077[/C][C]-0.3063[/C][C]0.379963[/C][/ROW]
[ROW][C]48[/C][C]-0.030162[/C][C]-0.329[/C][C]0.371358[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40125&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40125&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
10.97473110.63310
20.0102940.11230.45539
3-0.020971-0.22880.40972
4-0.007018-0.07660.46955
5-0.01376-0.15010.440467
6-0.003859-0.04210.483245
7-0.026975-0.29430.384536
8-0.015821-0.17260.431637
9-0.024487-0.26710.394917
10-0.024259-0.26460.395874
11-0.019156-0.2090.417416
120.0441110.48120.315629
13-0.0247-0.26940.394028
14-0.0174-0.18980.424888
15-0.015888-0.17330.431348
16-0.019726-0.21520.414997
170.0133810.1460.442098
18-0.024591-0.26830.394485
190.0058670.0640.474536
20-0.020129-0.21960.413285
21-0.016117-0.17580.43037
22-0.026424-0.28820.386829
23-0.050253-0.54820.292294
24-0.017249-0.18820.425535
25-0.039936-0.43570.331939
26-0.031635-0.34510.365314
27-0.033877-0.36950.356188
280.0608270.66350.254132
29-0.024381-0.2660.395365
300.0360460.39320.347432
31-0.025276-0.27570.391617
32-0.016919-0.18460.426943
33-0.017945-0.19580.422569
34-0.057563-0.62790.265622
35-0.015946-0.1740.431098
360.0003860.00420.498324
37-0.031066-0.33890.367643
380.0677150.73870.230776
39-0.011829-0.1290.448772
40-0.025086-0.27370.39241
410.022880.24960.401666
42-0.021278-0.23210.408423
43-0.044594-0.48650.313767
44-0.035032-0.38220.351515
45-0.02926-0.31920.37507
46-0.016077-0.17540.430542
47-0.028077-0.30630.379963
48-0.030162-0.3290.371358



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')