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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 12 May 2009 23:40:16 -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/13/t1242193256fmfw3clx2johjxf.htm/, Retrieved Wed, 08 May 2024 19:48:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39771, Retrieved Wed, 08 May 2024 19:48:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie- u...] [2009-05-13 05:40:16] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
11025.1
10853.8
12252.6
11839.4
11669.1
11601.4
11178.4
9516.4
12102.8
12989
11610.2
10205.5
11356.2
11307.1
12648.6
11947.2
11714.1
12192.5
11268.8
9097.4
12639.8
13040.1
11687.3
11191.7
11391.9
11793.1
13933.2
12778.1
11810.3
13698.4
11956.6
10723.8
13938.9
13979.8
13807.4
12973.9
12509.8
12934.1
14908.3
13772.1
13012.6
14049.9
11816.5
11593.2
14466.2
13615.9
14733.9
13880.7
13527.5
13584
16170.2
13260.6
14741.9
15486.5
13154.5
12621.2
15031.6
15452.4
15428
13105.9
14716.8
14180
16202.2
14392.4
15140.6
15960.1
14351.3
13230.2
15202.1
17056
16077.7
13348.2
16707.5
16792.6
16831.3
17804.5
16370.2
17602.5
17065.6
14427.9
17818.5
18027.6




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=39771&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=39771&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39771&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
1-0.325931-2.93340.00218
2-0.322459-2.90210.002386
30.1287251.15850.125026
40.0153540.13820.44522
5-0.066376-0.59740.27596
60.1812781.63150.053334
7-0.180921-1.62830.053674
80.1942991.74870.042066
9-0.000241-0.00220.499139
10-0.303936-2.73540.003826
11-0.134543-1.21090.114731
120.6602375.94210
13-0.198838-1.78950.038633
14-0.214029-1.92630.02879
150.0291590.26240.396828
160.0291540.26240.396847
17-0.048733-0.43860.331061
180.1474931.32740.094046
19-0.130157-1.17140.122433
200.1629881.46690.073139
21-0.051135-0.46020.323298
22-0.238345-2.14510.01747
23-0.011273-0.10150.45972
240.3880613.49250.000389
25-0.097239-0.87510.19204
26-0.118273-1.06450.145143
27-0.054388-0.48950.312908
280.0784140.70570.241191
29-0.066775-0.6010.274769
300.0790520.71150.239418
31-0.020531-0.18480.426931
320.0967890.87110.193138
33-0.083989-0.75590.22595
34-0.131639-1.18480.119789
35-0.046069-0.41460.339758
360.317132.85420.002738
37-0.054926-0.49430.311204
38-0.120768-1.08690.14015
39-0.044749-0.40270.344101
400.102890.9260.178596
41-0.077537-0.69780.243639
420.0255220.22970.409453
430.004250.03820.484792
440.1034420.9310.177316
45-0.072045-0.64840.25928
46-0.094657-0.85190.198386
47-0.085402-0.76860.222176
480.2876582.58890.005705

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.325931 & -2.9334 & 0.00218 \tabularnewline
2 & -0.322459 & -2.9021 & 0.002386 \tabularnewline
3 & 0.128725 & 1.1585 & 0.125026 \tabularnewline
4 & 0.015354 & 0.1382 & 0.44522 \tabularnewline
5 & -0.066376 & -0.5974 & 0.27596 \tabularnewline
6 & 0.181278 & 1.6315 & 0.053334 \tabularnewline
7 & -0.180921 & -1.6283 & 0.053674 \tabularnewline
8 & 0.194299 & 1.7487 & 0.042066 \tabularnewline
9 & -0.000241 & -0.0022 & 0.499139 \tabularnewline
10 & -0.303936 & -2.7354 & 0.003826 \tabularnewline
11 & -0.134543 & -1.2109 & 0.114731 \tabularnewline
12 & 0.660237 & 5.9421 & 0 \tabularnewline
13 & -0.198838 & -1.7895 & 0.038633 \tabularnewline
14 & -0.214029 & -1.9263 & 0.02879 \tabularnewline
15 & 0.029159 & 0.2624 & 0.396828 \tabularnewline
16 & 0.029154 & 0.2624 & 0.396847 \tabularnewline
17 & -0.048733 & -0.4386 & 0.331061 \tabularnewline
18 & 0.147493 & 1.3274 & 0.094046 \tabularnewline
19 & -0.130157 & -1.1714 & 0.122433 \tabularnewline
20 & 0.162988 & 1.4669 & 0.073139 \tabularnewline
21 & -0.051135 & -0.4602 & 0.323298 \tabularnewline
22 & -0.238345 & -2.1451 & 0.01747 \tabularnewline
23 & -0.011273 & -0.1015 & 0.45972 \tabularnewline
24 & 0.388061 & 3.4925 & 0.000389 \tabularnewline
25 & -0.097239 & -0.8751 & 0.19204 \tabularnewline
26 & -0.118273 & -1.0645 & 0.145143 \tabularnewline
27 & -0.054388 & -0.4895 & 0.312908 \tabularnewline
28 & 0.078414 & 0.7057 & 0.241191 \tabularnewline
29 & -0.066775 & -0.601 & 0.274769 \tabularnewline
30 & 0.079052 & 0.7115 & 0.239418 \tabularnewline
31 & -0.020531 & -0.1848 & 0.426931 \tabularnewline
32 & 0.096789 & 0.8711 & 0.193138 \tabularnewline
33 & -0.083989 & -0.7559 & 0.22595 \tabularnewline
34 & -0.131639 & -1.1848 & 0.119789 \tabularnewline
35 & -0.046069 & -0.4146 & 0.339758 \tabularnewline
36 & 0.31713 & 2.8542 & 0.002738 \tabularnewline
37 & -0.054926 & -0.4943 & 0.311204 \tabularnewline
38 & -0.120768 & -1.0869 & 0.14015 \tabularnewline
39 & -0.044749 & -0.4027 & 0.344101 \tabularnewline
40 & 0.10289 & 0.926 & 0.178596 \tabularnewline
41 & -0.077537 & -0.6978 & 0.243639 \tabularnewline
42 & 0.025522 & 0.2297 & 0.409453 \tabularnewline
43 & 0.00425 & 0.0382 & 0.484792 \tabularnewline
44 & 0.103442 & 0.931 & 0.177316 \tabularnewline
45 & -0.072045 & -0.6484 & 0.25928 \tabularnewline
46 & -0.094657 & -0.8519 & 0.198386 \tabularnewline
47 & -0.085402 & -0.7686 & 0.222176 \tabularnewline
48 & 0.287658 & 2.5889 & 0.005705 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39771&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]-0.325931[/C][C]-2.9334[/C][C]0.00218[/C][/ROW]
[ROW][C]2[/C][C]-0.322459[/C][C]-2.9021[/C][C]0.002386[/C][/ROW]
[ROW][C]3[/C][C]0.128725[/C][C]1.1585[/C][C]0.125026[/C][/ROW]
[ROW][C]4[/C][C]0.015354[/C][C]0.1382[/C][C]0.44522[/C][/ROW]
[ROW][C]5[/C][C]-0.066376[/C][C]-0.5974[/C][C]0.27596[/C][/ROW]
[ROW][C]6[/C][C]0.181278[/C][C]1.6315[/C][C]0.053334[/C][/ROW]
[ROW][C]7[/C][C]-0.180921[/C][C]-1.6283[/C][C]0.053674[/C][/ROW]
[ROW][C]8[/C][C]0.194299[/C][C]1.7487[/C][C]0.042066[/C][/ROW]
[ROW][C]9[/C][C]-0.000241[/C][C]-0.0022[/C][C]0.499139[/C][/ROW]
[ROW][C]10[/C][C]-0.303936[/C][C]-2.7354[/C][C]0.003826[/C][/ROW]
[ROW][C]11[/C][C]-0.134543[/C][C]-1.2109[/C][C]0.114731[/C][/ROW]
[ROW][C]12[/C][C]0.660237[/C][C]5.9421[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.198838[/C][C]-1.7895[/C][C]0.038633[/C][/ROW]
[ROW][C]14[/C][C]-0.214029[/C][C]-1.9263[/C][C]0.02879[/C][/ROW]
[ROW][C]15[/C][C]0.029159[/C][C]0.2624[/C][C]0.396828[/C][/ROW]
[ROW][C]16[/C][C]0.029154[/C][C]0.2624[/C][C]0.396847[/C][/ROW]
[ROW][C]17[/C][C]-0.048733[/C][C]-0.4386[/C][C]0.331061[/C][/ROW]
[ROW][C]18[/C][C]0.147493[/C][C]1.3274[/C][C]0.094046[/C][/ROW]
[ROW][C]19[/C][C]-0.130157[/C][C]-1.1714[/C][C]0.122433[/C][/ROW]
[ROW][C]20[/C][C]0.162988[/C][C]1.4669[/C][C]0.073139[/C][/ROW]
[ROW][C]21[/C][C]-0.051135[/C][C]-0.4602[/C][C]0.323298[/C][/ROW]
[ROW][C]22[/C][C]-0.238345[/C][C]-2.1451[/C][C]0.01747[/C][/ROW]
[ROW][C]23[/C][C]-0.011273[/C][C]-0.1015[/C][C]0.45972[/C][/ROW]
[ROW][C]24[/C][C]0.388061[/C][C]3.4925[/C][C]0.000389[/C][/ROW]
[ROW][C]25[/C][C]-0.097239[/C][C]-0.8751[/C][C]0.19204[/C][/ROW]
[ROW][C]26[/C][C]-0.118273[/C][C]-1.0645[/C][C]0.145143[/C][/ROW]
[ROW][C]27[/C][C]-0.054388[/C][C]-0.4895[/C][C]0.312908[/C][/ROW]
[ROW][C]28[/C][C]0.078414[/C][C]0.7057[/C][C]0.241191[/C][/ROW]
[ROW][C]29[/C][C]-0.066775[/C][C]-0.601[/C][C]0.274769[/C][/ROW]
[ROW][C]30[/C][C]0.079052[/C][C]0.7115[/C][C]0.239418[/C][/ROW]
[ROW][C]31[/C][C]-0.020531[/C][C]-0.1848[/C][C]0.426931[/C][/ROW]
[ROW][C]32[/C][C]0.096789[/C][C]0.8711[/C][C]0.193138[/C][/ROW]
[ROW][C]33[/C][C]-0.083989[/C][C]-0.7559[/C][C]0.22595[/C][/ROW]
[ROW][C]34[/C][C]-0.131639[/C][C]-1.1848[/C][C]0.119789[/C][/ROW]
[ROW][C]35[/C][C]-0.046069[/C][C]-0.4146[/C][C]0.339758[/C][/ROW]
[ROW][C]36[/C][C]0.31713[/C][C]2.8542[/C][C]0.002738[/C][/ROW]
[ROW][C]37[/C][C]-0.054926[/C][C]-0.4943[/C][C]0.311204[/C][/ROW]
[ROW][C]38[/C][C]-0.120768[/C][C]-1.0869[/C][C]0.14015[/C][/ROW]
[ROW][C]39[/C][C]-0.044749[/C][C]-0.4027[/C][C]0.344101[/C][/ROW]
[ROW][C]40[/C][C]0.10289[/C][C]0.926[/C][C]0.178596[/C][/ROW]
[ROW][C]41[/C][C]-0.077537[/C][C]-0.6978[/C][C]0.243639[/C][/ROW]
[ROW][C]42[/C][C]0.025522[/C][C]0.2297[/C][C]0.409453[/C][/ROW]
[ROW][C]43[/C][C]0.00425[/C][C]0.0382[/C][C]0.484792[/C][/ROW]
[ROW][C]44[/C][C]0.103442[/C][C]0.931[/C][C]0.177316[/C][/ROW]
[ROW][C]45[/C][C]-0.072045[/C][C]-0.6484[/C][C]0.25928[/C][/ROW]
[ROW][C]46[/C][C]-0.094657[/C][C]-0.8519[/C][C]0.198386[/C][/ROW]
[ROW][C]47[/C][C]-0.085402[/C][C]-0.7686[/C][C]0.222176[/C][/ROW]
[ROW][C]48[/C][C]0.287658[/C][C]2.5889[/C][C]0.005705[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39771&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39771&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
1-0.325931-2.93340.00218
2-0.322459-2.90210.002386
30.1287251.15850.125026
40.0153540.13820.44522
5-0.066376-0.59740.27596
60.1812781.63150.053334
7-0.180921-1.62830.053674
80.1942991.74870.042066
9-0.000241-0.00220.499139
10-0.303936-2.73540.003826
11-0.134543-1.21090.114731
120.6602375.94210
13-0.198838-1.78950.038633
14-0.214029-1.92630.02879
150.0291590.26240.396828
160.0291540.26240.396847
17-0.048733-0.43860.331061
180.1474931.32740.094046
19-0.130157-1.17140.122433
200.1629881.46690.073139
21-0.051135-0.46020.323298
22-0.238345-2.14510.01747
23-0.011273-0.10150.45972
240.3880613.49250.000389
25-0.097239-0.87510.19204
26-0.118273-1.06450.145143
27-0.054388-0.48950.312908
280.0784140.70570.241191
29-0.066775-0.6010.274769
300.0790520.71150.239418
31-0.020531-0.18480.426931
320.0967890.87110.193138
33-0.083989-0.75590.22595
34-0.131639-1.18480.119789
35-0.046069-0.41460.339758
360.317132.85420.002738
37-0.054926-0.49430.311204
38-0.120768-1.08690.14015
39-0.044749-0.40270.344101
400.102890.9260.178596
41-0.077537-0.69780.243639
420.0255220.22970.409453
430.004250.03820.484792
440.1034420.9310.177316
45-0.072045-0.64840.25928
46-0.094657-0.85190.198386
47-0.085402-0.76860.222176
480.2876582.58890.005705







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.325931-2.93340.00218
2-0.479643-4.31682.2e-05
3-0.266096-2.39490.009467
4-0.295441-2.6590.004722
5-0.33348-3.00130.001786
6-0.083523-0.75170.227204
7-0.319887-2.8790.002551
80.1484291.33590.092668
90.1930691.73760.043039
10-0.029295-0.26370.396357
11-0.566402-5.09761e-06
120.1561551.40540.081863
130.1333211.19990.11684
140.2211831.99060.024946
150.0517520.46580.321317
160.0861060.7750.220311
17-0.037282-0.33550.369042
18-0.011953-0.10760.457298
190.0819030.73710.231588
20-0.023804-0.21420.41545
21-0.093648-0.84280.200903
22-0.138787-1.24910.107616
230.0608450.54760.292736
24-0.103866-0.93480.176336
25-0.0028-0.02520.489978
26-0.037986-0.34190.366666
27-0.017352-0.15620.438144
280.1138291.02450.154333
290.0707580.63680.263019
300.0366780.33010.371088
31-0.045097-0.40590.342954
320.0167740.1510.44019
33-0.031774-0.2860.387816
340.0474740.42730.335159
35-0.158118-1.42310.079279
360.0097410.08770.465178
37-0.026154-0.23540.407251
380.0230980.20790.41792
39-0.053537-0.48180.315611
400.0243790.21940.41344
410.0947950.85320.198045
42-0.003793-0.03410.486425
43-0.034885-0.3140.377178
44-0.100424-0.90380.184388
450.0403580.36320.358692
460.0280760.25270.400577
470.0388540.34970.363741
480.0050130.04510.482062

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.325931 & -2.9334 & 0.00218 \tabularnewline
2 & -0.479643 & -4.3168 & 2.2e-05 \tabularnewline
3 & -0.266096 & -2.3949 & 0.009467 \tabularnewline
4 & -0.295441 & -2.659 & 0.004722 \tabularnewline
5 & -0.33348 & -3.0013 & 0.001786 \tabularnewline
6 & -0.083523 & -0.7517 & 0.227204 \tabularnewline
7 & -0.319887 & -2.879 & 0.002551 \tabularnewline
8 & 0.148429 & 1.3359 & 0.092668 \tabularnewline
9 & 0.193069 & 1.7376 & 0.043039 \tabularnewline
10 & -0.029295 & -0.2637 & 0.396357 \tabularnewline
11 & -0.566402 & -5.0976 & 1e-06 \tabularnewline
12 & 0.156155 & 1.4054 & 0.081863 \tabularnewline
13 & 0.133321 & 1.1999 & 0.11684 \tabularnewline
14 & 0.221183 & 1.9906 & 0.024946 \tabularnewline
15 & 0.051752 & 0.4658 & 0.321317 \tabularnewline
16 & 0.086106 & 0.775 & 0.220311 \tabularnewline
17 & -0.037282 & -0.3355 & 0.369042 \tabularnewline
18 & -0.011953 & -0.1076 & 0.457298 \tabularnewline
19 & 0.081903 & 0.7371 & 0.231588 \tabularnewline
20 & -0.023804 & -0.2142 & 0.41545 \tabularnewline
21 & -0.093648 & -0.8428 & 0.200903 \tabularnewline
22 & -0.138787 & -1.2491 & 0.107616 \tabularnewline
23 & 0.060845 & 0.5476 & 0.292736 \tabularnewline
24 & -0.103866 & -0.9348 & 0.176336 \tabularnewline
25 & -0.0028 & -0.0252 & 0.489978 \tabularnewline
26 & -0.037986 & -0.3419 & 0.366666 \tabularnewline
27 & -0.017352 & -0.1562 & 0.438144 \tabularnewline
28 & 0.113829 & 1.0245 & 0.154333 \tabularnewline
29 & 0.070758 & 0.6368 & 0.263019 \tabularnewline
30 & 0.036678 & 0.3301 & 0.371088 \tabularnewline
31 & -0.045097 & -0.4059 & 0.342954 \tabularnewline
32 & 0.016774 & 0.151 & 0.44019 \tabularnewline
33 & -0.031774 & -0.286 & 0.387816 \tabularnewline
34 & 0.047474 & 0.4273 & 0.335159 \tabularnewline
35 & -0.158118 & -1.4231 & 0.079279 \tabularnewline
36 & 0.009741 & 0.0877 & 0.465178 \tabularnewline
37 & -0.026154 & -0.2354 & 0.407251 \tabularnewline
38 & 0.023098 & 0.2079 & 0.41792 \tabularnewline
39 & -0.053537 & -0.4818 & 0.315611 \tabularnewline
40 & 0.024379 & 0.2194 & 0.41344 \tabularnewline
41 & 0.094795 & 0.8532 & 0.198045 \tabularnewline
42 & -0.003793 & -0.0341 & 0.486425 \tabularnewline
43 & -0.034885 & -0.314 & 0.377178 \tabularnewline
44 & -0.100424 & -0.9038 & 0.184388 \tabularnewline
45 & 0.040358 & 0.3632 & 0.358692 \tabularnewline
46 & 0.028076 & 0.2527 & 0.400577 \tabularnewline
47 & 0.038854 & 0.3497 & 0.363741 \tabularnewline
48 & 0.005013 & 0.0451 & 0.482062 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39771&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]-0.325931[/C][C]-2.9334[/C][C]0.00218[/C][/ROW]
[ROW][C]2[/C][C]-0.479643[/C][C]-4.3168[/C][C]2.2e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.266096[/C][C]-2.3949[/C][C]0.009467[/C][/ROW]
[ROW][C]4[/C][C]-0.295441[/C][C]-2.659[/C][C]0.004722[/C][/ROW]
[ROW][C]5[/C][C]-0.33348[/C][C]-3.0013[/C][C]0.001786[/C][/ROW]
[ROW][C]6[/C][C]-0.083523[/C][C]-0.7517[/C][C]0.227204[/C][/ROW]
[ROW][C]7[/C][C]-0.319887[/C][C]-2.879[/C][C]0.002551[/C][/ROW]
[ROW][C]8[/C][C]0.148429[/C][C]1.3359[/C][C]0.092668[/C][/ROW]
[ROW][C]9[/C][C]0.193069[/C][C]1.7376[/C][C]0.043039[/C][/ROW]
[ROW][C]10[/C][C]-0.029295[/C][C]-0.2637[/C][C]0.396357[/C][/ROW]
[ROW][C]11[/C][C]-0.566402[/C][C]-5.0976[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.156155[/C][C]1.4054[/C][C]0.081863[/C][/ROW]
[ROW][C]13[/C][C]0.133321[/C][C]1.1999[/C][C]0.11684[/C][/ROW]
[ROW][C]14[/C][C]0.221183[/C][C]1.9906[/C][C]0.024946[/C][/ROW]
[ROW][C]15[/C][C]0.051752[/C][C]0.4658[/C][C]0.321317[/C][/ROW]
[ROW][C]16[/C][C]0.086106[/C][C]0.775[/C][C]0.220311[/C][/ROW]
[ROW][C]17[/C][C]-0.037282[/C][C]-0.3355[/C][C]0.369042[/C][/ROW]
[ROW][C]18[/C][C]-0.011953[/C][C]-0.1076[/C][C]0.457298[/C][/ROW]
[ROW][C]19[/C][C]0.081903[/C][C]0.7371[/C][C]0.231588[/C][/ROW]
[ROW][C]20[/C][C]-0.023804[/C][C]-0.2142[/C][C]0.41545[/C][/ROW]
[ROW][C]21[/C][C]-0.093648[/C][C]-0.8428[/C][C]0.200903[/C][/ROW]
[ROW][C]22[/C][C]-0.138787[/C][C]-1.2491[/C][C]0.107616[/C][/ROW]
[ROW][C]23[/C][C]0.060845[/C][C]0.5476[/C][C]0.292736[/C][/ROW]
[ROW][C]24[/C][C]-0.103866[/C][C]-0.9348[/C][C]0.176336[/C][/ROW]
[ROW][C]25[/C][C]-0.0028[/C][C]-0.0252[/C][C]0.489978[/C][/ROW]
[ROW][C]26[/C][C]-0.037986[/C][C]-0.3419[/C][C]0.366666[/C][/ROW]
[ROW][C]27[/C][C]-0.017352[/C][C]-0.1562[/C][C]0.438144[/C][/ROW]
[ROW][C]28[/C][C]0.113829[/C][C]1.0245[/C][C]0.154333[/C][/ROW]
[ROW][C]29[/C][C]0.070758[/C][C]0.6368[/C][C]0.263019[/C][/ROW]
[ROW][C]30[/C][C]0.036678[/C][C]0.3301[/C][C]0.371088[/C][/ROW]
[ROW][C]31[/C][C]-0.045097[/C][C]-0.4059[/C][C]0.342954[/C][/ROW]
[ROW][C]32[/C][C]0.016774[/C][C]0.151[/C][C]0.44019[/C][/ROW]
[ROW][C]33[/C][C]-0.031774[/C][C]-0.286[/C][C]0.387816[/C][/ROW]
[ROW][C]34[/C][C]0.047474[/C][C]0.4273[/C][C]0.335159[/C][/ROW]
[ROW][C]35[/C][C]-0.158118[/C][C]-1.4231[/C][C]0.079279[/C][/ROW]
[ROW][C]36[/C][C]0.009741[/C][C]0.0877[/C][C]0.465178[/C][/ROW]
[ROW][C]37[/C][C]-0.026154[/C][C]-0.2354[/C][C]0.407251[/C][/ROW]
[ROW][C]38[/C][C]0.023098[/C][C]0.2079[/C][C]0.41792[/C][/ROW]
[ROW][C]39[/C][C]-0.053537[/C][C]-0.4818[/C][C]0.315611[/C][/ROW]
[ROW][C]40[/C][C]0.024379[/C][C]0.2194[/C][C]0.41344[/C][/ROW]
[ROW][C]41[/C][C]0.094795[/C][C]0.8532[/C][C]0.198045[/C][/ROW]
[ROW][C]42[/C][C]-0.003793[/C][C]-0.0341[/C][C]0.486425[/C][/ROW]
[ROW][C]43[/C][C]-0.034885[/C][C]-0.314[/C][C]0.377178[/C][/ROW]
[ROW][C]44[/C][C]-0.100424[/C][C]-0.9038[/C][C]0.184388[/C][/ROW]
[ROW][C]45[/C][C]0.040358[/C][C]0.3632[/C][C]0.358692[/C][/ROW]
[ROW][C]46[/C][C]0.028076[/C][C]0.2527[/C][C]0.400577[/C][/ROW]
[ROW][C]47[/C][C]0.038854[/C][C]0.3497[/C][C]0.363741[/C][/ROW]
[ROW][C]48[/C][C]0.005013[/C][C]0.0451[/C][C]0.482062[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39771&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39771&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
1-0.325931-2.93340.00218
2-0.479643-4.31682.2e-05
3-0.266096-2.39490.009467
4-0.295441-2.6590.004722
5-0.33348-3.00130.001786
6-0.083523-0.75170.227204
7-0.319887-2.8790.002551
80.1484291.33590.092668
90.1930691.73760.043039
10-0.029295-0.26370.396357
11-0.566402-5.09761e-06
120.1561551.40540.081863
130.1333211.19990.11684
140.2211831.99060.024946
150.0517520.46580.321317
160.0861060.7750.220311
17-0.037282-0.33550.369042
18-0.011953-0.10760.457298
190.0819030.73710.231588
20-0.023804-0.21420.41545
21-0.093648-0.84280.200903
22-0.138787-1.24910.107616
230.0608450.54760.292736
24-0.103866-0.93480.176336
25-0.0028-0.02520.489978
26-0.037986-0.34190.366666
27-0.017352-0.15620.438144
280.1138291.02450.154333
290.0707580.63680.263019
300.0366780.33010.371088
31-0.045097-0.40590.342954
320.0167740.1510.44019
33-0.031774-0.2860.387816
340.0474740.42730.335159
35-0.158118-1.42310.079279
360.0097410.08770.465178
37-0.026154-0.23540.407251
380.0230980.20790.41792
39-0.053537-0.48180.315611
400.0243790.21940.41344
410.0947950.85320.198045
42-0.003793-0.03410.486425
43-0.034885-0.3140.377178
44-0.100424-0.90380.184388
450.0403580.36320.358692
460.0280760.25270.400577
470.0388540.34970.363741
480.0050130.04510.482062



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')