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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 06 Jan 2008 06:12:06 -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/2008/Jan/06/t1199625098wtwum7dsxc4p943.htm/, Retrieved Sat, 04 May 2024 20:52:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7787, Retrieved Sat, 04 May 2024 20:52:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF Goudprijs after] [2008-01-06 13:12:06] [fea8286ffce1c0d00dd375fb36de4323] [Current]
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Dataseries X:
10511
10812
10738
10171
9721
9897
9828
9924
10371
10846
10413
10709
10662
10570
10297
10635
10872
10296
10383
10431
10574
10653
10805
10872
10625
10407
10463
10556
10646
10702
11353
11346
11451
11964
12574
13031
13812
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7787&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]2 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=7787&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7787&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
1-0.078005-0.59920.724323
2-0.047082-0.36160.640545
30.3086542.37080.010517
40.0068820.05290.479012
5-0.285432-2.19240.983848
60.0555930.4270.335461
70.1599351.22850.112071
8-0.199955-1.53590.935043
90.0459480.35290.362698
100.0422860.32480.373238
110.0088560.0680.472997
12-0.145629-1.11860.866078
13-0.040318-0.30970.621055
140.0134550.10340.459017
15-0.136085-1.04530.849923
16-0.108486-0.83330.795981
17-0.024095-0.18510.5731
180.0187740.14420.442913
19-0.006525-0.05010.519903
200.0030370.02330.490734
210.0798620.61340.270973
220.0765580.58810.279369
23-0.033775-0.25940.601898
24-0.034602-0.26580.604334
250.1494091.14760.127877
26-0.078859-0.60570.72649
27-0.033513-0.25740.601125
280.1081540.83070.204733
290.0634820.48760.313815
30-0.081209-0.62380.73241
31-0.050161-0.38530.649296
320.0964410.74080.230884
33-0.185214-1.42270.919949
34-0.069348-0.53270.70187
350.009560.07340.470855
36-0.013425-0.10310.54089
37-0.131763-1.01210.842186
380.0527980.40560.343269
390.0867670.66650.253855
40-0.04834-0.37130.64413
410.0439560.33760.368418
420.0624660.47980.316569
43-0.008514-0.06540.525959
44-0.031992-0.24570.596631
45-0.023312-0.17910.57075
46-0.04162-0.31970.624833
47-0.043517-0.33430.630317

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & -0.078005 & -0.5992 & 0.724323 \tabularnewline
2 & -0.047082 & -0.3616 & 0.640545 \tabularnewline
3 & 0.308654 & 2.3708 & 0.010517 \tabularnewline
4 & 0.006882 & 0.0529 & 0.479012 \tabularnewline
5 & -0.285432 & -2.1924 & 0.983848 \tabularnewline
6 & 0.055593 & 0.427 & 0.335461 \tabularnewline
7 & 0.159935 & 1.2285 & 0.112071 \tabularnewline
8 & -0.199955 & -1.5359 & 0.935043 \tabularnewline
9 & 0.045948 & 0.3529 & 0.362698 \tabularnewline
10 & 0.042286 & 0.3248 & 0.373238 \tabularnewline
11 & 0.008856 & 0.068 & 0.472997 \tabularnewline
12 & -0.145629 & -1.1186 & 0.866078 \tabularnewline
13 & -0.040318 & -0.3097 & 0.621055 \tabularnewline
14 & 0.013455 & 0.1034 & 0.459017 \tabularnewline
15 & -0.136085 & -1.0453 & 0.849923 \tabularnewline
16 & -0.108486 & -0.8333 & 0.795981 \tabularnewline
17 & -0.024095 & -0.1851 & 0.5731 \tabularnewline
18 & 0.018774 & 0.1442 & 0.442913 \tabularnewline
19 & -0.006525 & -0.0501 & 0.519903 \tabularnewline
20 & 0.003037 & 0.0233 & 0.490734 \tabularnewline
21 & 0.079862 & 0.6134 & 0.270973 \tabularnewline
22 & 0.076558 & 0.5881 & 0.279369 \tabularnewline
23 & -0.033775 & -0.2594 & 0.601898 \tabularnewline
24 & -0.034602 & -0.2658 & 0.604334 \tabularnewline
25 & 0.149409 & 1.1476 & 0.127877 \tabularnewline
26 & -0.078859 & -0.6057 & 0.72649 \tabularnewline
27 & -0.033513 & -0.2574 & 0.601125 \tabularnewline
28 & 0.108154 & 0.8307 & 0.204733 \tabularnewline
29 & 0.063482 & 0.4876 & 0.313815 \tabularnewline
30 & -0.081209 & -0.6238 & 0.73241 \tabularnewline
31 & -0.050161 & -0.3853 & 0.649296 \tabularnewline
32 & 0.096441 & 0.7408 & 0.230884 \tabularnewline
33 & -0.185214 & -1.4227 & 0.919949 \tabularnewline
34 & -0.069348 & -0.5327 & 0.70187 \tabularnewline
35 & 0.00956 & 0.0734 & 0.470855 \tabularnewline
36 & -0.013425 & -0.1031 & 0.54089 \tabularnewline
37 & -0.131763 & -1.0121 & 0.842186 \tabularnewline
38 & 0.052798 & 0.4056 & 0.343269 \tabularnewline
39 & 0.086767 & 0.6665 & 0.253855 \tabularnewline
40 & -0.04834 & -0.3713 & 0.64413 \tabularnewline
41 & 0.043956 & 0.3376 & 0.368418 \tabularnewline
42 & 0.062466 & 0.4798 & 0.316569 \tabularnewline
43 & -0.008514 & -0.0654 & 0.525959 \tabularnewline
44 & -0.031992 & -0.2457 & 0.596631 \tabularnewline
45 & -0.023312 & -0.1791 & 0.57075 \tabularnewline
46 & -0.04162 & -0.3197 & 0.624833 \tabularnewline
47 & -0.043517 & -0.3343 & 0.630317 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7787&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.078005[/C][C]-0.5992[/C][C]0.724323[/C][/ROW]
[ROW][C]2[/C][C]-0.047082[/C][C]-0.3616[/C][C]0.640545[/C][/ROW]
[ROW][C]3[/C][C]0.308654[/C][C]2.3708[/C][C]0.010517[/C][/ROW]
[ROW][C]4[/C][C]0.006882[/C][C]0.0529[/C][C]0.479012[/C][/ROW]
[ROW][C]5[/C][C]-0.285432[/C][C]-2.1924[/C][C]0.983848[/C][/ROW]
[ROW][C]6[/C][C]0.055593[/C][C]0.427[/C][C]0.335461[/C][/ROW]
[ROW][C]7[/C][C]0.159935[/C][C]1.2285[/C][C]0.112071[/C][/ROW]
[ROW][C]8[/C][C]-0.199955[/C][C]-1.5359[/C][C]0.935043[/C][/ROW]
[ROW][C]9[/C][C]0.045948[/C][C]0.3529[/C][C]0.362698[/C][/ROW]
[ROW][C]10[/C][C]0.042286[/C][C]0.3248[/C][C]0.373238[/C][/ROW]
[ROW][C]11[/C][C]0.008856[/C][C]0.068[/C][C]0.472997[/C][/ROW]
[ROW][C]12[/C][C]-0.145629[/C][C]-1.1186[/C][C]0.866078[/C][/ROW]
[ROW][C]13[/C][C]-0.040318[/C][C]-0.3097[/C][C]0.621055[/C][/ROW]
[ROW][C]14[/C][C]0.013455[/C][C]0.1034[/C][C]0.459017[/C][/ROW]
[ROW][C]15[/C][C]-0.136085[/C][C]-1.0453[/C][C]0.849923[/C][/ROW]
[ROW][C]16[/C][C]-0.108486[/C][C]-0.8333[/C][C]0.795981[/C][/ROW]
[ROW][C]17[/C][C]-0.024095[/C][C]-0.1851[/C][C]0.5731[/C][/ROW]
[ROW][C]18[/C][C]0.018774[/C][C]0.1442[/C][C]0.442913[/C][/ROW]
[ROW][C]19[/C][C]-0.006525[/C][C]-0.0501[/C][C]0.519903[/C][/ROW]
[ROW][C]20[/C][C]0.003037[/C][C]0.0233[/C][C]0.490734[/C][/ROW]
[ROW][C]21[/C][C]0.079862[/C][C]0.6134[/C][C]0.270973[/C][/ROW]
[ROW][C]22[/C][C]0.076558[/C][C]0.5881[/C][C]0.279369[/C][/ROW]
[ROW][C]23[/C][C]-0.033775[/C][C]-0.2594[/C][C]0.601898[/C][/ROW]
[ROW][C]24[/C][C]-0.034602[/C][C]-0.2658[/C][C]0.604334[/C][/ROW]
[ROW][C]25[/C][C]0.149409[/C][C]1.1476[/C][C]0.127877[/C][/ROW]
[ROW][C]26[/C][C]-0.078859[/C][C]-0.6057[/C][C]0.72649[/C][/ROW]
[ROW][C]27[/C][C]-0.033513[/C][C]-0.2574[/C][C]0.601125[/C][/ROW]
[ROW][C]28[/C][C]0.108154[/C][C]0.8307[/C][C]0.204733[/C][/ROW]
[ROW][C]29[/C][C]0.063482[/C][C]0.4876[/C][C]0.313815[/C][/ROW]
[ROW][C]30[/C][C]-0.081209[/C][C]-0.6238[/C][C]0.73241[/C][/ROW]
[ROW][C]31[/C][C]-0.050161[/C][C]-0.3853[/C][C]0.649296[/C][/ROW]
[ROW][C]32[/C][C]0.096441[/C][C]0.7408[/C][C]0.230884[/C][/ROW]
[ROW][C]33[/C][C]-0.185214[/C][C]-1.4227[/C][C]0.919949[/C][/ROW]
[ROW][C]34[/C][C]-0.069348[/C][C]-0.5327[/C][C]0.70187[/C][/ROW]
[ROW][C]35[/C][C]0.00956[/C][C]0.0734[/C][C]0.470855[/C][/ROW]
[ROW][C]36[/C][C]-0.013425[/C][C]-0.1031[/C][C]0.54089[/C][/ROW]
[ROW][C]37[/C][C]-0.131763[/C][C]-1.0121[/C][C]0.842186[/C][/ROW]
[ROW][C]38[/C][C]0.052798[/C][C]0.4056[/C][C]0.343269[/C][/ROW]
[ROW][C]39[/C][C]0.086767[/C][C]0.6665[/C][C]0.253855[/C][/ROW]
[ROW][C]40[/C][C]-0.04834[/C][C]-0.3713[/C][C]0.64413[/C][/ROW]
[ROW][C]41[/C][C]0.043956[/C][C]0.3376[/C][C]0.368418[/C][/ROW]
[ROW][C]42[/C][C]0.062466[/C][C]0.4798[/C][C]0.316569[/C][/ROW]
[ROW][C]43[/C][C]-0.008514[/C][C]-0.0654[/C][C]0.525959[/C][/ROW]
[ROW][C]44[/C][C]-0.031992[/C][C]-0.2457[/C][C]0.596631[/C][/ROW]
[ROW][C]45[/C][C]-0.023312[/C][C]-0.1791[/C][C]0.57075[/C][/ROW]
[ROW][C]46[/C][C]-0.04162[/C][C]-0.3197[/C][C]0.624833[/C][/ROW]
[ROW][C]47[/C][C]-0.043517[/C][C]-0.3343[/C][C]0.630317[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7787&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7787&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
017.68110
1-0.078005-0.59920.724323
2-0.047082-0.36160.640545
30.3086542.37080.010517
40.0068820.05290.479012
5-0.285432-2.19240.983848
60.0555930.4270.335461
70.1599351.22850.112071
8-0.199955-1.53590.935043
90.0459480.35290.362698
100.0422860.32480.373238
110.0088560.0680.472997
12-0.145629-1.11860.866078
13-0.040318-0.30970.621055
140.0134550.10340.459017
15-0.136085-1.04530.849923
16-0.108486-0.83330.795981
17-0.024095-0.18510.5731
180.0187740.14420.442913
19-0.006525-0.05010.519903
200.0030370.02330.490734
210.0798620.61340.270973
220.0765580.58810.279369
23-0.033775-0.25940.601898
24-0.034602-0.26580.604334
250.1494091.14760.127877
26-0.078859-0.60570.72649
27-0.033513-0.25740.601125
280.1081540.83070.204733
290.0634820.48760.313815
30-0.081209-0.62380.73241
31-0.050161-0.38530.649296
320.0964410.74080.230884
33-0.185214-1.42270.919949
34-0.069348-0.53270.70187
350.009560.07340.470855
36-0.013425-0.10310.54089
37-0.131763-1.01210.842186
380.0527980.40560.343269
390.0867670.66650.253855
40-0.04834-0.37130.64413
410.0439560.33760.368418
420.0624660.47980.316569
43-0.008514-0.06540.525959
44-0.031992-0.24570.596631
45-0.023312-0.17910.57075
46-0.04162-0.31970.624833
47-0.043517-0.33430.630317







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.078005-0.59920.724323
1-0.053492-0.41090.658677
20.3033212.32990.011628
30.0550660.4230.336926
4-0.287333-2.2070.984393
5-0.093783-0.72040.762927
60.1821751.39930.083477
70.0028360.02180.491346
80.0279760.21490.415298
9-0.154888-1.18970.880538
100.0727120.55850.289306
11-0.069976-0.53750.703527
12-0.117633-0.90360.815047
13-0.034919-0.26820.605267
14-0.044454-0.34150.633014
15-0.084356-0.6480.740235
16-0.099096-0.76120.775207
170.0002240.00170.499316
180.1567781.20420.116654
19-0.018651-0.14330.556714
20-0.032078-0.24640.596885
210.0574040.44090.330439
220.0364430.27990.390256
23-0.064145-0.49270.687976
240.0640830.49220.312191
25-0.03431-0.26350.603475
260.035270.27090.393701
27-0.036645-0.28150.610334
280.0511720.39310.347846
29-0.002088-0.0160.50637
30-0.155815-1.19680.881922
31-0.026931-0.20690.581584
32-0.096067-0.73790.768251
330.0136710.1050.458361
34-0.020951-0.16090.563649
35-0.025835-0.19840.578308
36-0.034661-0.26620.604507
370.0269280.20680.418424
380.0477360.36670.35759
390.0815590.62650.266712
400.0210570.16170.436031
410.0092250.07090.471876
42-0.057626-0.44260.670175
430.0185990.14290.443442
44-0.060824-0.46720.678962
45-0.106229-0.8160.791098
46-0.111028-0.85280.801397
470.0268410.20620.418683

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.078005 & -0.5992 & 0.724323 \tabularnewline
1 & -0.053492 & -0.4109 & 0.658677 \tabularnewline
2 & 0.303321 & 2.3299 & 0.011628 \tabularnewline
3 & 0.055066 & 0.423 & 0.336926 \tabularnewline
4 & -0.287333 & -2.207 & 0.984393 \tabularnewline
5 & -0.093783 & -0.7204 & 0.762927 \tabularnewline
6 & 0.182175 & 1.3993 & 0.083477 \tabularnewline
7 & 0.002836 & 0.0218 & 0.491346 \tabularnewline
8 & 0.027976 & 0.2149 & 0.415298 \tabularnewline
9 & -0.154888 & -1.1897 & 0.880538 \tabularnewline
10 & 0.072712 & 0.5585 & 0.289306 \tabularnewline
11 & -0.069976 & -0.5375 & 0.703527 \tabularnewline
12 & -0.117633 & -0.9036 & 0.815047 \tabularnewline
13 & -0.034919 & -0.2682 & 0.605267 \tabularnewline
14 & -0.044454 & -0.3415 & 0.633014 \tabularnewline
15 & -0.084356 & -0.648 & 0.740235 \tabularnewline
16 & -0.099096 & -0.7612 & 0.775207 \tabularnewline
17 & 0.000224 & 0.0017 & 0.499316 \tabularnewline
18 & 0.156778 & 1.2042 & 0.116654 \tabularnewline
19 & -0.018651 & -0.1433 & 0.556714 \tabularnewline
20 & -0.032078 & -0.2464 & 0.596885 \tabularnewline
21 & 0.057404 & 0.4409 & 0.330439 \tabularnewline
22 & 0.036443 & 0.2799 & 0.390256 \tabularnewline
23 & -0.064145 & -0.4927 & 0.687976 \tabularnewline
24 & 0.064083 & 0.4922 & 0.312191 \tabularnewline
25 & -0.03431 & -0.2635 & 0.603475 \tabularnewline
26 & 0.03527 & 0.2709 & 0.393701 \tabularnewline
27 & -0.036645 & -0.2815 & 0.610334 \tabularnewline
28 & 0.051172 & 0.3931 & 0.347846 \tabularnewline
29 & -0.002088 & -0.016 & 0.50637 \tabularnewline
30 & -0.155815 & -1.1968 & 0.881922 \tabularnewline
31 & -0.026931 & -0.2069 & 0.581584 \tabularnewline
32 & -0.096067 & -0.7379 & 0.768251 \tabularnewline
33 & 0.013671 & 0.105 & 0.458361 \tabularnewline
34 & -0.020951 & -0.1609 & 0.563649 \tabularnewline
35 & -0.025835 & -0.1984 & 0.578308 \tabularnewline
36 & -0.034661 & -0.2662 & 0.604507 \tabularnewline
37 & 0.026928 & 0.2068 & 0.418424 \tabularnewline
38 & 0.047736 & 0.3667 & 0.35759 \tabularnewline
39 & 0.081559 & 0.6265 & 0.266712 \tabularnewline
40 & 0.021057 & 0.1617 & 0.436031 \tabularnewline
41 & 0.009225 & 0.0709 & 0.471876 \tabularnewline
42 & -0.057626 & -0.4426 & 0.670175 \tabularnewline
43 & 0.018599 & 0.1429 & 0.443442 \tabularnewline
44 & -0.060824 & -0.4672 & 0.678962 \tabularnewline
45 & -0.106229 & -0.816 & 0.791098 \tabularnewline
46 & -0.111028 & -0.8528 & 0.801397 \tabularnewline
47 & 0.026841 & 0.2062 & 0.418683 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7787&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]-0.078005[/C][C]-0.5992[/C][C]0.724323[/C][/ROW]
[ROW][C]1[/C][C]-0.053492[/C][C]-0.4109[/C][C]0.658677[/C][/ROW]
[ROW][C]2[/C][C]0.303321[/C][C]2.3299[/C][C]0.011628[/C][/ROW]
[ROW][C]3[/C][C]0.055066[/C][C]0.423[/C][C]0.336926[/C][/ROW]
[ROW][C]4[/C][C]-0.287333[/C][C]-2.207[/C][C]0.984393[/C][/ROW]
[ROW][C]5[/C][C]-0.093783[/C][C]-0.7204[/C][C]0.762927[/C][/ROW]
[ROW][C]6[/C][C]0.182175[/C][C]1.3993[/C][C]0.083477[/C][/ROW]
[ROW][C]7[/C][C]0.002836[/C][C]0.0218[/C][C]0.491346[/C][/ROW]
[ROW][C]8[/C][C]0.027976[/C][C]0.2149[/C][C]0.415298[/C][/ROW]
[ROW][C]9[/C][C]-0.154888[/C][C]-1.1897[/C][C]0.880538[/C][/ROW]
[ROW][C]10[/C][C]0.072712[/C][C]0.5585[/C][C]0.289306[/C][/ROW]
[ROW][C]11[/C][C]-0.069976[/C][C]-0.5375[/C][C]0.703527[/C][/ROW]
[ROW][C]12[/C][C]-0.117633[/C][C]-0.9036[/C][C]0.815047[/C][/ROW]
[ROW][C]13[/C][C]-0.034919[/C][C]-0.2682[/C][C]0.605267[/C][/ROW]
[ROW][C]14[/C][C]-0.044454[/C][C]-0.3415[/C][C]0.633014[/C][/ROW]
[ROW][C]15[/C][C]-0.084356[/C][C]-0.648[/C][C]0.740235[/C][/ROW]
[ROW][C]16[/C][C]-0.099096[/C][C]-0.7612[/C][C]0.775207[/C][/ROW]
[ROW][C]17[/C][C]0.000224[/C][C]0.0017[/C][C]0.499316[/C][/ROW]
[ROW][C]18[/C][C]0.156778[/C][C]1.2042[/C][C]0.116654[/C][/ROW]
[ROW][C]19[/C][C]-0.018651[/C][C]-0.1433[/C][C]0.556714[/C][/ROW]
[ROW][C]20[/C][C]-0.032078[/C][C]-0.2464[/C][C]0.596885[/C][/ROW]
[ROW][C]21[/C][C]0.057404[/C][C]0.4409[/C][C]0.330439[/C][/ROW]
[ROW][C]22[/C][C]0.036443[/C][C]0.2799[/C][C]0.390256[/C][/ROW]
[ROW][C]23[/C][C]-0.064145[/C][C]-0.4927[/C][C]0.687976[/C][/ROW]
[ROW][C]24[/C][C]0.064083[/C][C]0.4922[/C][C]0.312191[/C][/ROW]
[ROW][C]25[/C][C]-0.03431[/C][C]-0.2635[/C][C]0.603475[/C][/ROW]
[ROW][C]26[/C][C]0.03527[/C][C]0.2709[/C][C]0.393701[/C][/ROW]
[ROW][C]27[/C][C]-0.036645[/C][C]-0.2815[/C][C]0.610334[/C][/ROW]
[ROW][C]28[/C][C]0.051172[/C][C]0.3931[/C][C]0.347846[/C][/ROW]
[ROW][C]29[/C][C]-0.002088[/C][C]-0.016[/C][C]0.50637[/C][/ROW]
[ROW][C]30[/C][C]-0.155815[/C][C]-1.1968[/C][C]0.881922[/C][/ROW]
[ROW][C]31[/C][C]-0.026931[/C][C]-0.2069[/C][C]0.581584[/C][/ROW]
[ROW][C]32[/C][C]-0.096067[/C][C]-0.7379[/C][C]0.768251[/C][/ROW]
[ROW][C]33[/C][C]0.013671[/C][C]0.105[/C][C]0.458361[/C][/ROW]
[ROW][C]34[/C][C]-0.020951[/C][C]-0.1609[/C][C]0.563649[/C][/ROW]
[ROW][C]35[/C][C]-0.025835[/C][C]-0.1984[/C][C]0.578308[/C][/ROW]
[ROW][C]36[/C][C]-0.034661[/C][C]-0.2662[/C][C]0.604507[/C][/ROW]
[ROW][C]37[/C][C]0.026928[/C][C]0.2068[/C][C]0.418424[/C][/ROW]
[ROW][C]38[/C][C]0.047736[/C][C]0.3667[/C][C]0.35759[/C][/ROW]
[ROW][C]39[/C][C]0.081559[/C][C]0.6265[/C][C]0.266712[/C][/ROW]
[ROW][C]40[/C][C]0.021057[/C][C]0.1617[/C][C]0.436031[/C][/ROW]
[ROW][C]41[/C][C]0.009225[/C][C]0.0709[/C][C]0.471876[/C][/ROW]
[ROW][C]42[/C][C]-0.057626[/C][C]-0.4426[/C][C]0.670175[/C][/ROW]
[ROW][C]43[/C][C]0.018599[/C][C]0.1429[/C][C]0.443442[/C][/ROW]
[ROW][C]44[/C][C]-0.060824[/C][C]-0.4672[/C][C]0.678962[/C][/ROW]
[ROW][C]45[/C][C]-0.106229[/C][C]-0.816[/C][C]0.791098[/C][/ROW]
[ROW][C]46[/C][C]-0.111028[/C][C]-0.8528[/C][C]0.801397[/C][/ROW]
[ROW][C]47[/C][C]0.026841[/C][C]0.2062[/C][C]0.418683[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7787&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7787&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
0-0.078005-0.59920.724323
1-0.053492-0.41090.658677
20.3033212.32990.011628
30.0550660.4230.336926
4-0.287333-2.2070.984393
5-0.093783-0.72040.762927
60.1821751.39930.083477
70.0028360.02180.491346
80.0279760.21490.415298
9-0.154888-1.18970.880538
100.0727120.55850.289306
11-0.069976-0.53750.703527
12-0.117633-0.90360.815047
13-0.034919-0.26820.605267
14-0.044454-0.34150.633014
15-0.084356-0.6480.740235
16-0.099096-0.76120.775207
170.0002240.00170.499316
180.1567781.20420.116654
19-0.018651-0.14330.556714
20-0.032078-0.24640.596885
210.0574040.44090.330439
220.0364430.27990.390256
23-0.064145-0.49270.687976
240.0640830.49220.312191
25-0.03431-0.26350.603475
260.035270.27090.393701
27-0.036645-0.28150.610334
280.0511720.39310.347846
29-0.002088-0.0160.50637
30-0.155815-1.19680.881922
31-0.026931-0.20690.581584
32-0.096067-0.73790.768251
330.0136710.1050.458361
34-0.020951-0.16090.563649
35-0.025835-0.19840.578308
36-0.034661-0.26620.604507
370.0269280.20680.418424
380.0477360.36670.35759
390.0815590.62650.266712
400.0210570.16170.436031
410.0092250.07090.471876
42-0.057626-0.44260.670175
430.0185990.14290.443442
44-0.060824-0.46720.678962
45-0.106229-0.8160.791098
46-0.111028-0.85280.801397
470.0268410.20620.418683



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 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')