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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 11:50:30 -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/Nov/28/t1196275210mimpxqzygnn9lrq.htm/, Retrieved Thu, 02 May 2024 07:45:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7213, Retrieved Thu, 02 May 2024 07:45:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [partial autocorre...] [2007-11-28 18:50:30] [ecfd493d8912453b8c9c073043a11928] [Current]
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Dataseries X:
0.3
2.1
2.5
2.3
2.4
3
1.7
3.5
4
3.7
3.7
3
2.7
2.5
2.2
2.9
3.1
3
2.8
2.5
1.9
1.9
1.8
2
2.6
2.5
2.5
1.6
1.4
0.8
1.1
1.3
1.2
1.3
1.1
1.3
1.2
1.6
1.7
1.5
0.9
1.5
1.4
1.6
1.7
1.4
1.8
1.7
1.4
1.2
1
1.7
2.4
2
2.1
2
1.8
2.7
2.3
1.9
2
2.3
2.8
2.4
2.3
2.7
2.7
2.9
3
2.2
2.3
2.8




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7213&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7213&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7213&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.48530
10.7223316.12920
20.5857634.97042e-06
30.5131334.35412.2e-05
40.4137313.51060.000388
50.4187883.55350.000338
60.4577153.88380.000113
70.3443322.92180.002323
80.3233842.7440.003828
90.2713312.30230.012106
100.190741.61850.054966
110.1280011.08610.140524
120.0189270.16060.436428
130.0367480.31180.378042
140.049720.42190.337182
15-0.02521-0.21390.584389
16-0.055801-0.47350.68135
17-0.138126-1.1720.877477
18-0.19268-1.63490.946787
19-0.204676-1.73670.956645
20-0.229669-1.94880.972392
21-0.265826-2.25560.986433
22-0.307819-2.61190.994525
23-0.339369-2.87960.99738
24-0.394118-3.34420.999344
25-0.402784-3.41770.999479
26-0.377565-3.20370.998989
27-0.312331-2.65020.995058
28-0.284019-2.410.990745
29-0.252384-2.14150.982193
30-0.273969-2.32470.988544
31-0.310091-2.63120.9948
32-0.321485-2.72790.995999
33-0.298502-2.53290.993254
34-0.250307-2.12390.981444
35-0.252802-2.14510.98234
36-0.19083-1.61930.945117
37-0.210388-1.78520.96078
38-0.212628-1.80420.96231
39-0.172586-1.46440.926286
40-0.14094-1.19590.882174
41-0.126092-1.06990.855887
42-0.071259-0.60460.726343
43-0.044691-0.37920.647178
440.003250.02760.489039
450.0249380.21160.416507
460.0104260.08850.464876
470.0595950.50570.307314

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.4853 & 0 \tabularnewline
1 & 0.722331 & 6.1292 & 0 \tabularnewline
2 & 0.585763 & 4.9704 & 2e-06 \tabularnewline
3 & 0.513133 & 4.3541 & 2.2e-05 \tabularnewline
4 & 0.413731 & 3.5106 & 0.000388 \tabularnewline
5 & 0.418788 & 3.5535 & 0.000338 \tabularnewline
6 & 0.457715 & 3.8838 & 0.000113 \tabularnewline
7 & 0.344332 & 2.9218 & 0.002323 \tabularnewline
8 & 0.323384 & 2.744 & 0.003828 \tabularnewline
9 & 0.271331 & 2.3023 & 0.012106 \tabularnewline
10 & 0.19074 & 1.6185 & 0.054966 \tabularnewline
11 & 0.128001 & 1.0861 & 0.140524 \tabularnewline
12 & 0.018927 & 0.1606 & 0.436428 \tabularnewline
13 & 0.036748 & 0.3118 & 0.378042 \tabularnewline
14 & 0.04972 & 0.4219 & 0.337182 \tabularnewline
15 & -0.02521 & -0.2139 & 0.584389 \tabularnewline
16 & -0.055801 & -0.4735 & 0.68135 \tabularnewline
17 & -0.138126 & -1.172 & 0.877477 \tabularnewline
18 & -0.19268 & -1.6349 & 0.946787 \tabularnewline
19 & -0.204676 & -1.7367 & 0.956645 \tabularnewline
20 & -0.229669 & -1.9488 & 0.972392 \tabularnewline
21 & -0.265826 & -2.2556 & 0.986433 \tabularnewline
22 & -0.307819 & -2.6119 & 0.994525 \tabularnewline
23 & -0.339369 & -2.8796 & 0.99738 \tabularnewline
24 & -0.394118 & -3.3442 & 0.999344 \tabularnewline
25 & -0.402784 & -3.4177 & 0.999479 \tabularnewline
26 & -0.377565 & -3.2037 & 0.998989 \tabularnewline
27 & -0.312331 & -2.6502 & 0.995058 \tabularnewline
28 & -0.284019 & -2.41 & 0.990745 \tabularnewline
29 & -0.252384 & -2.1415 & 0.982193 \tabularnewline
30 & -0.273969 & -2.3247 & 0.988544 \tabularnewline
31 & -0.310091 & -2.6312 & 0.9948 \tabularnewline
32 & -0.321485 & -2.7279 & 0.995999 \tabularnewline
33 & -0.298502 & -2.5329 & 0.993254 \tabularnewline
34 & -0.250307 & -2.1239 & 0.981444 \tabularnewline
35 & -0.252802 & -2.1451 & 0.98234 \tabularnewline
36 & -0.19083 & -1.6193 & 0.945117 \tabularnewline
37 & -0.210388 & -1.7852 & 0.96078 \tabularnewline
38 & -0.212628 & -1.8042 & 0.96231 \tabularnewline
39 & -0.172586 & -1.4644 & 0.926286 \tabularnewline
40 & -0.14094 & -1.1959 & 0.882174 \tabularnewline
41 & -0.126092 & -1.0699 & 0.855887 \tabularnewline
42 & -0.071259 & -0.6046 & 0.726343 \tabularnewline
43 & -0.044691 & -0.3792 & 0.647178 \tabularnewline
44 & 0.00325 & 0.0276 & 0.489039 \tabularnewline
45 & 0.024938 & 0.2116 & 0.416507 \tabularnewline
46 & 0.010426 & 0.0885 & 0.464876 \tabularnewline
47 & 0.059595 & 0.5057 & 0.307314 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7213&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]8.4853[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.722331[/C][C]6.1292[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.585763[/C][C]4.9704[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.513133[/C][C]4.3541[/C][C]2.2e-05[/C][/ROW]
[ROW][C]4[/C][C]0.413731[/C][C]3.5106[/C][C]0.000388[/C][/ROW]
[ROW][C]5[/C][C]0.418788[/C][C]3.5535[/C][C]0.000338[/C][/ROW]
[ROW][C]6[/C][C]0.457715[/C][C]3.8838[/C][C]0.000113[/C][/ROW]
[ROW][C]7[/C][C]0.344332[/C][C]2.9218[/C][C]0.002323[/C][/ROW]
[ROW][C]8[/C][C]0.323384[/C][C]2.744[/C][C]0.003828[/C][/ROW]
[ROW][C]9[/C][C]0.271331[/C][C]2.3023[/C][C]0.012106[/C][/ROW]
[ROW][C]10[/C][C]0.19074[/C][C]1.6185[/C][C]0.054966[/C][/ROW]
[ROW][C]11[/C][C]0.128001[/C][C]1.0861[/C][C]0.140524[/C][/ROW]
[ROW][C]12[/C][C]0.018927[/C][C]0.1606[/C][C]0.436428[/C][/ROW]
[ROW][C]13[/C][C]0.036748[/C][C]0.3118[/C][C]0.378042[/C][/ROW]
[ROW][C]14[/C][C]0.04972[/C][C]0.4219[/C][C]0.337182[/C][/ROW]
[ROW][C]15[/C][C]-0.02521[/C][C]-0.2139[/C][C]0.584389[/C][/ROW]
[ROW][C]16[/C][C]-0.055801[/C][C]-0.4735[/C][C]0.68135[/C][/ROW]
[ROW][C]17[/C][C]-0.138126[/C][C]-1.172[/C][C]0.877477[/C][/ROW]
[ROW][C]18[/C][C]-0.19268[/C][C]-1.6349[/C][C]0.946787[/C][/ROW]
[ROW][C]19[/C][C]-0.204676[/C][C]-1.7367[/C][C]0.956645[/C][/ROW]
[ROW][C]20[/C][C]-0.229669[/C][C]-1.9488[/C][C]0.972392[/C][/ROW]
[ROW][C]21[/C][C]-0.265826[/C][C]-2.2556[/C][C]0.986433[/C][/ROW]
[ROW][C]22[/C][C]-0.307819[/C][C]-2.6119[/C][C]0.994525[/C][/ROW]
[ROW][C]23[/C][C]-0.339369[/C][C]-2.8796[/C][C]0.99738[/C][/ROW]
[ROW][C]24[/C][C]-0.394118[/C][C]-3.3442[/C][C]0.999344[/C][/ROW]
[ROW][C]25[/C][C]-0.402784[/C][C]-3.4177[/C][C]0.999479[/C][/ROW]
[ROW][C]26[/C][C]-0.377565[/C][C]-3.2037[/C][C]0.998989[/C][/ROW]
[ROW][C]27[/C][C]-0.312331[/C][C]-2.6502[/C][C]0.995058[/C][/ROW]
[ROW][C]28[/C][C]-0.284019[/C][C]-2.41[/C][C]0.990745[/C][/ROW]
[ROW][C]29[/C][C]-0.252384[/C][C]-2.1415[/C][C]0.982193[/C][/ROW]
[ROW][C]30[/C][C]-0.273969[/C][C]-2.3247[/C][C]0.988544[/C][/ROW]
[ROW][C]31[/C][C]-0.310091[/C][C]-2.6312[/C][C]0.9948[/C][/ROW]
[ROW][C]32[/C][C]-0.321485[/C][C]-2.7279[/C][C]0.995999[/C][/ROW]
[ROW][C]33[/C][C]-0.298502[/C][C]-2.5329[/C][C]0.993254[/C][/ROW]
[ROW][C]34[/C][C]-0.250307[/C][C]-2.1239[/C][C]0.981444[/C][/ROW]
[ROW][C]35[/C][C]-0.252802[/C][C]-2.1451[/C][C]0.98234[/C][/ROW]
[ROW][C]36[/C][C]-0.19083[/C][C]-1.6193[/C][C]0.945117[/C][/ROW]
[ROW][C]37[/C][C]-0.210388[/C][C]-1.7852[/C][C]0.96078[/C][/ROW]
[ROW][C]38[/C][C]-0.212628[/C][C]-1.8042[/C][C]0.96231[/C][/ROW]
[ROW][C]39[/C][C]-0.172586[/C][C]-1.4644[/C][C]0.926286[/C][/ROW]
[ROW][C]40[/C][C]-0.14094[/C][C]-1.1959[/C][C]0.882174[/C][/ROW]
[ROW][C]41[/C][C]-0.126092[/C][C]-1.0699[/C][C]0.855887[/C][/ROW]
[ROW][C]42[/C][C]-0.071259[/C][C]-0.6046[/C][C]0.726343[/C][/ROW]
[ROW][C]43[/C][C]-0.044691[/C][C]-0.3792[/C][C]0.647178[/C][/ROW]
[ROW][C]44[/C][C]0.00325[/C][C]0.0276[/C][C]0.489039[/C][/ROW]
[ROW][C]45[/C][C]0.024938[/C][C]0.2116[/C][C]0.416507[/C][/ROW]
[ROW][C]46[/C][C]0.010426[/C][C]0.0885[/C][C]0.464876[/C][/ROW]
[ROW][C]47[/C][C]0.059595[/C][C]0.5057[/C][C]0.307314[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7213&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7213&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
018.48530
10.7223316.12920
20.5857634.97042e-06
30.5131334.35412.2e-05
40.4137313.51060.000388
50.4187883.55350.000338
60.4577153.88380.000113
70.3443322.92180.002323
80.3233842.7440.003828
90.2713312.30230.012106
100.190741.61850.054966
110.1280011.08610.140524
120.0189270.16060.436428
130.0367480.31180.378042
140.049720.42190.337182
15-0.02521-0.21390.584389
16-0.055801-0.47350.68135
17-0.138126-1.1720.877477
18-0.19268-1.63490.946787
19-0.204676-1.73670.956645
20-0.229669-1.94880.972392
21-0.265826-2.25560.986433
22-0.307819-2.61190.994525
23-0.339369-2.87960.99738
24-0.394118-3.34420.999344
25-0.402784-3.41770.999479
26-0.377565-3.20370.998989
27-0.312331-2.65020.995058
28-0.284019-2.410.990745
29-0.252384-2.14150.982193
30-0.273969-2.32470.988544
31-0.310091-2.63120.9948
32-0.321485-2.72790.995999
33-0.298502-2.53290.993254
34-0.250307-2.12390.981444
35-0.252802-2.14510.98234
36-0.19083-1.61930.945117
37-0.210388-1.78520.96078
38-0.212628-1.80420.96231
39-0.172586-1.46440.926286
40-0.14094-1.19590.882174
41-0.126092-1.06990.855887
42-0.071259-0.60460.726343
43-0.044691-0.37920.647178
440.003250.02760.489039
450.0249380.21160.416507
460.0104260.08850.464876
470.0595950.50570.307314







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.7223316.12920
10.1338261.13560.129955
20.1064050.90290.1848
3-0.035027-0.29720.61642
40.1703161.44520.076373
50.171351.4540.075152
6-0.186868-1.58560.941397
70.0604490.51290.304787
8-0.046516-0.39470.652884
9-0.052741-0.44750.672079
10-0.129558-1.09930.862359
11-0.203268-1.72480.955572
120.2104331.78560.039189
13-0.014938-0.12670.550254
14-0.158771-1.34720.908932
15-0.034866-0.29580.615901
16-0.090916-0.77150.778518
170.074170.62940.265554
18-0.171355-1.4540.924853
19-0.021556-0.18290.572307
200.0047720.04050.483906
21-0.159092-1.34990.909368
220.0007340.00620.497523
23-0.244126-2.07150.979051
240.1390271.17970.121005
250.066580.5650.286931
260.0303290.25740.39882
270.0727910.61770.269376
28-0.074341-0.63080.734916
290.0893470.75810.225422
30-0.180398-1.53070.934891
31-0.08975-0.76160.775593
320.0678390.57560.283328
33-0.064655-0.54860.707517
34-0.080833-0.68590.752508
35-0.0187-0.15870.562815
36-0.099806-0.84690.800066
370.1205741.02310.154842
38-0.057129-0.48480.685339
390.053960.45790.324214
40-0.015442-0.1310.551942
41-0.063948-0.54260.705465
420.089490.75930.225062
43-0.054591-0.46320.677697
440.0023170.01970.492184
45-0.06453-0.54760.707154
460.0291610.24740.402635
470.009810.08320.466946

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.722331 & 6.1292 & 0 \tabularnewline
1 & 0.133826 & 1.1356 & 0.129955 \tabularnewline
2 & 0.106405 & 0.9029 & 0.1848 \tabularnewline
3 & -0.035027 & -0.2972 & 0.61642 \tabularnewline
4 & 0.170316 & 1.4452 & 0.076373 \tabularnewline
5 & 0.17135 & 1.454 & 0.075152 \tabularnewline
6 & -0.186868 & -1.5856 & 0.941397 \tabularnewline
7 & 0.060449 & 0.5129 & 0.304787 \tabularnewline
8 & -0.046516 & -0.3947 & 0.652884 \tabularnewline
9 & -0.052741 & -0.4475 & 0.672079 \tabularnewline
10 & -0.129558 & -1.0993 & 0.862359 \tabularnewline
11 & -0.203268 & -1.7248 & 0.955572 \tabularnewline
12 & 0.210433 & 1.7856 & 0.039189 \tabularnewline
13 & -0.014938 & -0.1267 & 0.550254 \tabularnewline
14 & -0.158771 & -1.3472 & 0.908932 \tabularnewline
15 & -0.034866 & -0.2958 & 0.615901 \tabularnewline
16 & -0.090916 & -0.7715 & 0.778518 \tabularnewline
17 & 0.07417 & 0.6294 & 0.265554 \tabularnewline
18 & -0.171355 & -1.454 & 0.924853 \tabularnewline
19 & -0.021556 & -0.1829 & 0.572307 \tabularnewline
20 & 0.004772 & 0.0405 & 0.483906 \tabularnewline
21 & -0.159092 & -1.3499 & 0.909368 \tabularnewline
22 & 0.000734 & 0.0062 & 0.497523 \tabularnewline
23 & -0.244126 & -2.0715 & 0.979051 \tabularnewline
24 & 0.139027 & 1.1797 & 0.121005 \tabularnewline
25 & 0.06658 & 0.565 & 0.286931 \tabularnewline
26 & 0.030329 & 0.2574 & 0.39882 \tabularnewline
27 & 0.072791 & 0.6177 & 0.269376 \tabularnewline
28 & -0.074341 & -0.6308 & 0.734916 \tabularnewline
29 & 0.089347 & 0.7581 & 0.225422 \tabularnewline
30 & -0.180398 & -1.5307 & 0.934891 \tabularnewline
31 & -0.08975 & -0.7616 & 0.775593 \tabularnewline
32 & 0.067839 & 0.5756 & 0.283328 \tabularnewline
33 & -0.064655 & -0.5486 & 0.707517 \tabularnewline
34 & -0.080833 & -0.6859 & 0.752508 \tabularnewline
35 & -0.0187 & -0.1587 & 0.562815 \tabularnewline
36 & -0.099806 & -0.8469 & 0.800066 \tabularnewline
37 & 0.120574 & 1.0231 & 0.154842 \tabularnewline
38 & -0.057129 & -0.4848 & 0.685339 \tabularnewline
39 & 0.05396 & 0.4579 & 0.324214 \tabularnewline
40 & -0.015442 & -0.131 & 0.551942 \tabularnewline
41 & -0.063948 & -0.5426 & 0.705465 \tabularnewline
42 & 0.08949 & 0.7593 & 0.225062 \tabularnewline
43 & -0.054591 & -0.4632 & 0.677697 \tabularnewline
44 & 0.002317 & 0.0197 & 0.492184 \tabularnewline
45 & -0.06453 & -0.5476 & 0.707154 \tabularnewline
46 & 0.029161 & 0.2474 & 0.402635 \tabularnewline
47 & 0.00981 & 0.0832 & 0.466946 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7213&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]0.722331[/C][C]6.1292[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.133826[/C][C]1.1356[/C][C]0.129955[/C][/ROW]
[ROW][C]2[/C][C]0.106405[/C][C]0.9029[/C][C]0.1848[/C][/ROW]
[ROW][C]3[/C][C]-0.035027[/C][C]-0.2972[/C][C]0.61642[/C][/ROW]
[ROW][C]4[/C][C]0.170316[/C][C]1.4452[/C][C]0.076373[/C][/ROW]
[ROW][C]5[/C][C]0.17135[/C][C]1.454[/C][C]0.075152[/C][/ROW]
[ROW][C]6[/C][C]-0.186868[/C][C]-1.5856[/C][C]0.941397[/C][/ROW]
[ROW][C]7[/C][C]0.060449[/C][C]0.5129[/C][C]0.304787[/C][/ROW]
[ROW][C]8[/C][C]-0.046516[/C][C]-0.3947[/C][C]0.652884[/C][/ROW]
[ROW][C]9[/C][C]-0.052741[/C][C]-0.4475[/C][C]0.672079[/C][/ROW]
[ROW][C]10[/C][C]-0.129558[/C][C]-1.0993[/C][C]0.862359[/C][/ROW]
[ROW][C]11[/C][C]-0.203268[/C][C]-1.7248[/C][C]0.955572[/C][/ROW]
[ROW][C]12[/C][C]0.210433[/C][C]1.7856[/C][C]0.039189[/C][/ROW]
[ROW][C]13[/C][C]-0.014938[/C][C]-0.1267[/C][C]0.550254[/C][/ROW]
[ROW][C]14[/C][C]-0.158771[/C][C]-1.3472[/C][C]0.908932[/C][/ROW]
[ROW][C]15[/C][C]-0.034866[/C][C]-0.2958[/C][C]0.615901[/C][/ROW]
[ROW][C]16[/C][C]-0.090916[/C][C]-0.7715[/C][C]0.778518[/C][/ROW]
[ROW][C]17[/C][C]0.07417[/C][C]0.6294[/C][C]0.265554[/C][/ROW]
[ROW][C]18[/C][C]-0.171355[/C][C]-1.454[/C][C]0.924853[/C][/ROW]
[ROW][C]19[/C][C]-0.021556[/C][C]-0.1829[/C][C]0.572307[/C][/ROW]
[ROW][C]20[/C][C]0.004772[/C][C]0.0405[/C][C]0.483906[/C][/ROW]
[ROW][C]21[/C][C]-0.159092[/C][C]-1.3499[/C][C]0.909368[/C][/ROW]
[ROW][C]22[/C][C]0.000734[/C][C]0.0062[/C][C]0.497523[/C][/ROW]
[ROW][C]23[/C][C]-0.244126[/C][C]-2.0715[/C][C]0.979051[/C][/ROW]
[ROW][C]24[/C][C]0.139027[/C][C]1.1797[/C][C]0.121005[/C][/ROW]
[ROW][C]25[/C][C]0.06658[/C][C]0.565[/C][C]0.286931[/C][/ROW]
[ROW][C]26[/C][C]0.030329[/C][C]0.2574[/C][C]0.39882[/C][/ROW]
[ROW][C]27[/C][C]0.072791[/C][C]0.6177[/C][C]0.269376[/C][/ROW]
[ROW][C]28[/C][C]-0.074341[/C][C]-0.6308[/C][C]0.734916[/C][/ROW]
[ROW][C]29[/C][C]0.089347[/C][C]0.7581[/C][C]0.225422[/C][/ROW]
[ROW][C]30[/C][C]-0.180398[/C][C]-1.5307[/C][C]0.934891[/C][/ROW]
[ROW][C]31[/C][C]-0.08975[/C][C]-0.7616[/C][C]0.775593[/C][/ROW]
[ROW][C]32[/C][C]0.067839[/C][C]0.5756[/C][C]0.283328[/C][/ROW]
[ROW][C]33[/C][C]-0.064655[/C][C]-0.5486[/C][C]0.707517[/C][/ROW]
[ROW][C]34[/C][C]-0.080833[/C][C]-0.6859[/C][C]0.752508[/C][/ROW]
[ROW][C]35[/C][C]-0.0187[/C][C]-0.1587[/C][C]0.562815[/C][/ROW]
[ROW][C]36[/C][C]-0.099806[/C][C]-0.8469[/C][C]0.800066[/C][/ROW]
[ROW][C]37[/C][C]0.120574[/C][C]1.0231[/C][C]0.154842[/C][/ROW]
[ROW][C]38[/C][C]-0.057129[/C][C]-0.4848[/C][C]0.685339[/C][/ROW]
[ROW][C]39[/C][C]0.05396[/C][C]0.4579[/C][C]0.324214[/C][/ROW]
[ROW][C]40[/C][C]-0.015442[/C][C]-0.131[/C][C]0.551942[/C][/ROW]
[ROW][C]41[/C][C]-0.063948[/C][C]-0.5426[/C][C]0.705465[/C][/ROW]
[ROW][C]42[/C][C]0.08949[/C][C]0.7593[/C][C]0.225062[/C][/ROW]
[ROW][C]43[/C][C]-0.054591[/C][C]-0.4632[/C][C]0.677697[/C][/ROW]
[ROW][C]44[/C][C]0.002317[/C][C]0.0197[/C][C]0.492184[/C][/ROW]
[ROW][C]45[/C][C]-0.06453[/C][C]-0.5476[/C][C]0.707154[/C][/ROW]
[ROW][C]46[/C][C]0.029161[/C][C]0.2474[/C][C]0.402635[/C][/ROW]
[ROW][C]47[/C][C]0.00981[/C][C]0.0832[/C][C]0.466946[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7213&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7213&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
00.7223316.12920
10.1338261.13560.129955
20.1064050.90290.1848
3-0.035027-0.29720.61642
40.1703161.44520.076373
50.171351.4540.075152
6-0.186868-1.58560.941397
70.0604490.51290.304787
8-0.046516-0.39470.652884
9-0.052741-0.44750.672079
10-0.129558-1.09930.862359
11-0.203268-1.72480.955572
120.2104331.78560.039189
13-0.014938-0.12670.550254
14-0.158771-1.34720.908932
15-0.034866-0.29580.615901
16-0.090916-0.77150.778518
170.074170.62940.265554
18-0.171355-1.4540.924853
19-0.021556-0.18290.572307
200.0047720.04050.483906
21-0.159092-1.34990.909368
220.0007340.00620.497523
23-0.244126-2.07150.979051
240.1390271.17970.121005
250.066580.5650.286931
260.0303290.25740.39882
270.0727910.61770.269376
28-0.074341-0.63080.734916
290.0893470.75810.225422
30-0.180398-1.53070.934891
31-0.08975-0.76160.775593
320.0678390.57560.283328
33-0.064655-0.54860.707517
34-0.080833-0.68590.752508
35-0.0187-0.15870.562815
36-0.099806-0.84690.800066
370.1205741.02310.154842
38-0.057129-0.48480.685339
390.053960.45790.324214
40-0.015442-0.1310.551942
41-0.063948-0.54260.705465
420.089490.75930.225062
43-0.054591-0.46320.677697
440.0023170.01970.492184
45-0.06453-0.54760.707154
460.0291610.24740.402635
470.009810.08320.466946



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 2 ; par4 = 1 ; 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')