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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, 07 Jun 2009 04:15:45 -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/Jun/07/t1244369806z3lk2jict9i9cxk.htm/, Retrieved Mon, 13 May 2024 17:12:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42109, Retrieved Mon, 13 May 2024 17:12:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [thomas van eester...] [2009-06-07 10:15:45] [95fcaf7e4175e3dfad928879b5f9d7c2] [Current]
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Dataseries X:
0,63
0,63
0,63
0,64
0,63
0,63
0,63
0,63
0,63
0,64
0,65
0,65
0,65
0,65
0,65
0,66
0,65
0,66
0,66
0,66
0,66
0,68
0,69
0,7
0,71
0,71
0,7
0,7
0,7
0,7
0,71
0,7
0,7
0,7
0,69
0,7
0,69
0,69
0,69
0,7
0,7
0,71
0,71
0,71
0,72
0,73
0,74
0,74
0,74
0,74
0,75
0,75
0,76
0,76
0,76
0,76
0,76
0,77
0,77
0,78
0,78
0,78
0,78
0,78
0,78
0,78
0,8
0,8
0,8
0,81
0,81
0,81
0,8
0,81
0,81
0,81
0,8
0,82
0,83
0,83




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42109&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42109&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42109&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9583488.57170
20.9166968.19920
30.8763857.83860
40.8459617.56650
50.8069927.2180
60.7676826.86640
70.7273456.50560
80.6880096.15370
90.6439135.75930
100.6008685.37430
110.5622925.02931e-06
120.5247164.69325e-06
130.4847474.33572.1e-05
140.445123.98137.5e-05
150.4112533.67840.000212
160.3798043.39710.000532
170.3445693.08190.00141
180.3127782.79760.003224
190.2782532.48880.007447
200.2447532.18910.015751
210.2078351.85890.033357
220.1794881.60540.056174
230.151851.35820.089111
240.1303651.1660.123535
250.1106150.98940.162733
260.0891550.79740.213781
270.0652780.58390.280478
280.0386650.34580.365188
290.0151040.13510.446439
30-0.010851-0.09710.461465
31-0.03031-0.27110.393505
32-0.053898-0.48210.315535
33-0.078852-0.70530.241344
34-0.104148-0.93150.177191
35-0.13018-1.16440.123869
36-0.149716-1.33910.092165
37-0.172039-1.53880.063904
38-0.194361-1.73840.042992
39-0.218735-1.95640.026952
40-0.236614-2.11630.018712
41-0.254493-2.27630.012752
42-0.264851-2.36890.010126
43-0.27692-2.47680.007682
44-0.289671-2.59090.005687
45-0.303739-2.71670.004039
46-0.313021-2.79970.003204
47-0.322252-2.88230.002534
48-0.332508-2.9740.001942

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958348 & 8.5717 & 0 \tabularnewline
2 & 0.916696 & 8.1992 & 0 \tabularnewline
3 & 0.876385 & 7.8386 & 0 \tabularnewline
4 & 0.845961 & 7.5665 & 0 \tabularnewline
5 & 0.806992 & 7.218 & 0 \tabularnewline
6 & 0.767682 & 6.8664 & 0 \tabularnewline
7 & 0.727345 & 6.5056 & 0 \tabularnewline
8 & 0.688009 & 6.1537 & 0 \tabularnewline
9 & 0.643913 & 5.7593 & 0 \tabularnewline
10 & 0.600868 & 5.3743 & 0 \tabularnewline
11 & 0.562292 & 5.0293 & 1e-06 \tabularnewline
12 & 0.524716 & 4.6932 & 5e-06 \tabularnewline
13 & 0.484747 & 4.3357 & 2.1e-05 \tabularnewline
14 & 0.44512 & 3.9813 & 7.5e-05 \tabularnewline
15 & 0.411253 & 3.6784 & 0.000212 \tabularnewline
16 & 0.379804 & 3.3971 & 0.000532 \tabularnewline
17 & 0.344569 & 3.0819 & 0.00141 \tabularnewline
18 & 0.312778 & 2.7976 & 0.003224 \tabularnewline
19 & 0.278253 & 2.4888 & 0.007447 \tabularnewline
20 & 0.244753 & 2.1891 & 0.015751 \tabularnewline
21 & 0.207835 & 1.8589 & 0.033357 \tabularnewline
22 & 0.179488 & 1.6054 & 0.056174 \tabularnewline
23 & 0.15185 & 1.3582 & 0.089111 \tabularnewline
24 & 0.130365 & 1.166 & 0.123535 \tabularnewline
25 & 0.110615 & 0.9894 & 0.162733 \tabularnewline
26 & 0.089155 & 0.7974 & 0.213781 \tabularnewline
27 & 0.065278 & 0.5839 & 0.280478 \tabularnewline
28 & 0.038665 & 0.3458 & 0.365188 \tabularnewline
29 & 0.015104 & 0.1351 & 0.446439 \tabularnewline
30 & -0.010851 & -0.0971 & 0.461465 \tabularnewline
31 & -0.03031 & -0.2711 & 0.393505 \tabularnewline
32 & -0.053898 & -0.4821 & 0.315535 \tabularnewline
33 & -0.078852 & -0.7053 & 0.241344 \tabularnewline
34 & -0.104148 & -0.9315 & 0.177191 \tabularnewline
35 & -0.13018 & -1.1644 & 0.123869 \tabularnewline
36 & -0.149716 & -1.3391 & 0.092165 \tabularnewline
37 & -0.172039 & -1.5388 & 0.063904 \tabularnewline
38 & -0.194361 & -1.7384 & 0.042992 \tabularnewline
39 & -0.218735 & -1.9564 & 0.026952 \tabularnewline
40 & -0.236614 & -2.1163 & 0.018712 \tabularnewline
41 & -0.254493 & -2.2763 & 0.012752 \tabularnewline
42 & -0.264851 & -2.3689 & 0.010126 \tabularnewline
43 & -0.27692 & -2.4768 & 0.007682 \tabularnewline
44 & -0.289671 & -2.5909 & 0.005687 \tabularnewline
45 & -0.303739 & -2.7167 & 0.004039 \tabularnewline
46 & -0.313021 & -2.7997 & 0.003204 \tabularnewline
47 & -0.322252 & -2.8823 & 0.002534 \tabularnewline
48 & -0.332508 & -2.974 & 0.001942 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42109&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]0.958348[/C][C]8.5717[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.916696[/C][C]8.1992[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.876385[/C][C]7.8386[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.845961[/C][C]7.5665[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.806992[/C][C]7.218[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.767682[/C][C]6.8664[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.727345[/C][C]6.5056[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.688009[/C][C]6.1537[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.643913[/C][C]5.7593[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.600868[/C][C]5.3743[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.562292[/C][C]5.0293[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.524716[/C][C]4.6932[/C][C]5e-06[/C][/ROW]
[ROW][C]13[/C][C]0.484747[/C][C]4.3357[/C][C]2.1e-05[/C][/ROW]
[ROW][C]14[/C][C]0.44512[/C][C]3.9813[/C][C]7.5e-05[/C][/ROW]
[ROW][C]15[/C][C]0.411253[/C][C]3.6784[/C][C]0.000212[/C][/ROW]
[ROW][C]16[/C][C]0.379804[/C][C]3.3971[/C][C]0.000532[/C][/ROW]
[ROW][C]17[/C][C]0.344569[/C][C]3.0819[/C][C]0.00141[/C][/ROW]
[ROW][C]18[/C][C]0.312778[/C][C]2.7976[/C][C]0.003224[/C][/ROW]
[ROW][C]19[/C][C]0.278253[/C][C]2.4888[/C][C]0.007447[/C][/ROW]
[ROW][C]20[/C][C]0.244753[/C][C]2.1891[/C][C]0.015751[/C][/ROW]
[ROW][C]21[/C][C]0.207835[/C][C]1.8589[/C][C]0.033357[/C][/ROW]
[ROW][C]22[/C][C]0.179488[/C][C]1.6054[/C][C]0.056174[/C][/ROW]
[ROW][C]23[/C][C]0.15185[/C][C]1.3582[/C][C]0.089111[/C][/ROW]
[ROW][C]24[/C][C]0.130365[/C][C]1.166[/C][C]0.123535[/C][/ROW]
[ROW][C]25[/C][C]0.110615[/C][C]0.9894[/C][C]0.162733[/C][/ROW]
[ROW][C]26[/C][C]0.089155[/C][C]0.7974[/C][C]0.213781[/C][/ROW]
[ROW][C]27[/C][C]0.065278[/C][C]0.5839[/C][C]0.280478[/C][/ROW]
[ROW][C]28[/C][C]0.038665[/C][C]0.3458[/C][C]0.365188[/C][/ROW]
[ROW][C]29[/C][C]0.015104[/C][C]0.1351[/C][C]0.446439[/C][/ROW]
[ROW][C]30[/C][C]-0.010851[/C][C]-0.0971[/C][C]0.461465[/C][/ROW]
[ROW][C]31[/C][C]-0.03031[/C][C]-0.2711[/C][C]0.393505[/C][/ROW]
[ROW][C]32[/C][C]-0.053898[/C][C]-0.4821[/C][C]0.315535[/C][/ROW]
[ROW][C]33[/C][C]-0.078852[/C][C]-0.7053[/C][C]0.241344[/C][/ROW]
[ROW][C]34[/C][C]-0.104148[/C][C]-0.9315[/C][C]0.177191[/C][/ROW]
[ROW][C]35[/C][C]-0.13018[/C][C]-1.1644[/C][C]0.123869[/C][/ROW]
[ROW][C]36[/C][C]-0.149716[/C][C]-1.3391[/C][C]0.092165[/C][/ROW]
[ROW][C]37[/C][C]-0.172039[/C][C]-1.5388[/C][C]0.063904[/C][/ROW]
[ROW][C]38[/C][C]-0.194361[/C][C]-1.7384[/C][C]0.042992[/C][/ROW]
[ROW][C]39[/C][C]-0.218735[/C][C]-1.9564[/C][C]0.026952[/C][/ROW]
[ROW][C]40[/C][C]-0.236614[/C][C]-2.1163[/C][C]0.018712[/C][/ROW]
[ROW][C]41[/C][C]-0.254493[/C][C]-2.2763[/C][C]0.012752[/C][/ROW]
[ROW][C]42[/C][C]-0.264851[/C][C]-2.3689[/C][C]0.010126[/C][/ROW]
[ROW][C]43[/C][C]-0.27692[/C][C]-2.4768[/C][C]0.007682[/C][/ROW]
[ROW][C]44[/C][C]-0.289671[/C][C]-2.5909[/C][C]0.005687[/C][/ROW]
[ROW][C]45[/C][C]-0.303739[/C][C]-2.7167[/C][C]0.004039[/C][/ROW]
[ROW][C]46[/C][C]-0.313021[/C][C]-2.7997[/C][C]0.003204[/C][/ROW]
[ROW][C]47[/C][C]-0.322252[/C][C]-2.8823[/C][C]0.002534[/C][/ROW]
[ROW][C]48[/C][C]-0.332508[/C][C]-2.974[/C][C]0.001942[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42109&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42109&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
10.9583488.57170
20.9166968.19920
30.8763857.83860
40.8459617.56650
50.8069927.2180
60.7676826.86640
70.7273456.50560
80.6880096.15370
90.6439135.75930
100.6008685.37430
110.5622925.02931e-06
120.5247164.69325e-06
130.4847474.33572.1e-05
140.445123.98137.5e-05
150.4112533.67840.000212
160.3798043.39710.000532
170.3445693.08190.00141
180.3127782.79760.003224
190.2782532.48880.007447
200.2447532.18910.015751
210.2078351.85890.033357
220.1794881.60540.056174
230.151851.35820.089111
240.1303651.1660.123535
250.1106150.98940.162733
260.0891550.79740.213781
270.0652780.58390.280478
280.0386650.34580.365188
290.0151040.13510.446439
30-0.010851-0.09710.461465
31-0.03031-0.27110.393505
32-0.053898-0.48210.315535
33-0.078852-0.70530.241344
34-0.104148-0.93150.177191
35-0.13018-1.16440.123869
36-0.149716-1.33910.092165
37-0.172039-1.53880.063904
38-0.194361-1.73840.042992
39-0.218735-1.95640.026952
40-0.236614-2.11630.018712
41-0.254493-2.27630.012752
42-0.264851-2.36890.010126
43-0.27692-2.47680.007682
44-0.289671-2.59090.005687
45-0.303739-2.71670.004039
46-0.313021-2.79970.003204
47-0.322252-2.88230.002534
48-0.332508-2.9740.001942







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9583488.57170
2-0.021269-0.19020.424803
3-0.005276-0.04720.481239
40.0997730.89240.187427
5-0.122589-1.09650.138082
6-0.021052-0.18830.425561
7-0.023538-0.21050.416894
8-0.035643-0.31880.375355
9-0.073303-0.65560.256968
10-0.013839-0.12380.450901
110.0292330.26150.397202
12-0.026002-0.23260.408346
13-0.039996-0.35770.36074
14-0.010373-0.09280.463157
150.0362650.32440.373256
16-0.002178-0.01950.492255
17-0.062145-0.55580.289936
180.0327270.29270.385247
19-0.073499-0.65740.256406
20-0.028361-0.25370.4002
21-0.048479-0.43360.332868
220.0611290.54680.293034
23-0.019247-0.17220.431876
240.0450480.40290.344039
250.0426590.38160.351901
26-0.061887-0.55350.290722
27-0.038974-0.34860.364155
28-0.064332-0.57540.283316
290.0035070.03140.487527
30-0.072825-0.65140.258337
310.0486780.43540.332226
32-0.05774-0.51640.303485
33-0.058365-0.5220.301544
34-0.006294-0.05630.477623
35-0.058768-0.52560.300297
360.0667850.59730.275982
37-0.065978-0.59010.278385
38-0.025439-0.22750.410294
39-0.022906-0.20490.419093
400.0156280.13980.444593
41-0.020783-0.18590.4265
420.0519550.46470.321703
43-0.022012-0.19690.422209
44-0.061468-0.54980.291999
45-0.000336-0.0030.498804
460.0336080.30060.38225
47-0.045812-0.40980.341541
48-0.032819-0.29350.384933

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958348 & 8.5717 & 0 \tabularnewline
2 & -0.021269 & -0.1902 & 0.424803 \tabularnewline
3 & -0.005276 & -0.0472 & 0.481239 \tabularnewline
4 & 0.099773 & 0.8924 & 0.187427 \tabularnewline
5 & -0.122589 & -1.0965 & 0.138082 \tabularnewline
6 & -0.021052 & -0.1883 & 0.425561 \tabularnewline
7 & -0.023538 & -0.2105 & 0.416894 \tabularnewline
8 & -0.035643 & -0.3188 & 0.375355 \tabularnewline
9 & -0.073303 & -0.6556 & 0.256968 \tabularnewline
10 & -0.013839 & -0.1238 & 0.450901 \tabularnewline
11 & 0.029233 & 0.2615 & 0.397202 \tabularnewline
12 & -0.026002 & -0.2326 & 0.408346 \tabularnewline
13 & -0.039996 & -0.3577 & 0.36074 \tabularnewline
14 & -0.010373 & -0.0928 & 0.463157 \tabularnewline
15 & 0.036265 & 0.3244 & 0.373256 \tabularnewline
16 & -0.002178 & -0.0195 & 0.492255 \tabularnewline
17 & -0.062145 & -0.5558 & 0.289936 \tabularnewline
18 & 0.032727 & 0.2927 & 0.385247 \tabularnewline
19 & -0.073499 & -0.6574 & 0.256406 \tabularnewline
20 & -0.028361 & -0.2537 & 0.4002 \tabularnewline
21 & -0.048479 & -0.4336 & 0.332868 \tabularnewline
22 & 0.061129 & 0.5468 & 0.293034 \tabularnewline
23 & -0.019247 & -0.1722 & 0.431876 \tabularnewline
24 & 0.045048 & 0.4029 & 0.344039 \tabularnewline
25 & 0.042659 & 0.3816 & 0.351901 \tabularnewline
26 & -0.061887 & -0.5535 & 0.290722 \tabularnewline
27 & -0.038974 & -0.3486 & 0.364155 \tabularnewline
28 & -0.064332 & -0.5754 & 0.283316 \tabularnewline
29 & 0.003507 & 0.0314 & 0.487527 \tabularnewline
30 & -0.072825 & -0.6514 & 0.258337 \tabularnewline
31 & 0.048678 & 0.4354 & 0.332226 \tabularnewline
32 & -0.05774 & -0.5164 & 0.303485 \tabularnewline
33 & -0.058365 & -0.522 & 0.301544 \tabularnewline
34 & -0.006294 & -0.0563 & 0.477623 \tabularnewline
35 & -0.058768 & -0.5256 & 0.300297 \tabularnewline
36 & 0.066785 & 0.5973 & 0.275982 \tabularnewline
37 & -0.065978 & -0.5901 & 0.278385 \tabularnewline
38 & -0.025439 & -0.2275 & 0.410294 \tabularnewline
39 & -0.022906 & -0.2049 & 0.419093 \tabularnewline
40 & 0.015628 & 0.1398 & 0.444593 \tabularnewline
41 & -0.020783 & -0.1859 & 0.4265 \tabularnewline
42 & 0.051955 & 0.4647 & 0.321703 \tabularnewline
43 & -0.022012 & -0.1969 & 0.422209 \tabularnewline
44 & -0.061468 & -0.5498 & 0.291999 \tabularnewline
45 & -0.000336 & -0.003 & 0.498804 \tabularnewline
46 & 0.033608 & 0.3006 & 0.38225 \tabularnewline
47 & -0.045812 & -0.4098 & 0.341541 \tabularnewline
48 & -0.032819 & -0.2935 & 0.384933 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42109&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]0.958348[/C][C]8.5717[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.021269[/C][C]-0.1902[/C][C]0.424803[/C][/ROW]
[ROW][C]3[/C][C]-0.005276[/C][C]-0.0472[/C][C]0.481239[/C][/ROW]
[ROW][C]4[/C][C]0.099773[/C][C]0.8924[/C][C]0.187427[/C][/ROW]
[ROW][C]5[/C][C]-0.122589[/C][C]-1.0965[/C][C]0.138082[/C][/ROW]
[ROW][C]6[/C][C]-0.021052[/C][C]-0.1883[/C][C]0.425561[/C][/ROW]
[ROW][C]7[/C][C]-0.023538[/C][C]-0.2105[/C][C]0.416894[/C][/ROW]
[ROW][C]8[/C][C]-0.035643[/C][C]-0.3188[/C][C]0.375355[/C][/ROW]
[ROW][C]9[/C][C]-0.073303[/C][C]-0.6556[/C][C]0.256968[/C][/ROW]
[ROW][C]10[/C][C]-0.013839[/C][C]-0.1238[/C][C]0.450901[/C][/ROW]
[ROW][C]11[/C][C]0.029233[/C][C]0.2615[/C][C]0.397202[/C][/ROW]
[ROW][C]12[/C][C]-0.026002[/C][C]-0.2326[/C][C]0.408346[/C][/ROW]
[ROW][C]13[/C][C]-0.039996[/C][C]-0.3577[/C][C]0.36074[/C][/ROW]
[ROW][C]14[/C][C]-0.010373[/C][C]-0.0928[/C][C]0.463157[/C][/ROW]
[ROW][C]15[/C][C]0.036265[/C][C]0.3244[/C][C]0.373256[/C][/ROW]
[ROW][C]16[/C][C]-0.002178[/C][C]-0.0195[/C][C]0.492255[/C][/ROW]
[ROW][C]17[/C][C]-0.062145[/C][C]-0.5558[/C][C]0.289936[/C][/ROW]
[ROW][C]18[/C][C]0.032727[/C][C]0.2927[/C][C]0.385247[/C][/ROW]
[ROW][C]19[/C][C]-0.073499[/C][C]-0.6574[/C][C]0.256406[/C][/ROW]
[ROW][C]20[/C][C]-0.028361[/C][C]-0.2537[/C][C]0.4002[/C][/ROW]
[ROW][C]21[/C][C]-0.048479[/C][C]-0.4336[/C][C]0.332868[/C][/ROW]
[ROW][C]22[/C][C]0.061129[/C][C]0.5468[/C][C]0.293034[/C][/ROW]
[ROW][C]23[/C][C]-0.019247[/C][C]-0.1722[/C][C]0.431876[/C][/ROW]
[ROW][C]24[/C][C]0.045048[/C][C]0.4029[/C][C]0.344039[/C][/ROW]
[ROW][C]25[/C][C]0.042659[/C][C]0.3816[/C][C]0.351901[/C][/ROW]
[ROW][C]26[/C][C]-0.061887[/C][C]-0.5535[/C][C]0.290722[/C][/ROW]
[ROW][C]27[/C][C]-0.038974[/C][C]-0.3486[/C][C]0.364155[/C][/ROW]
[ROW][C]28[/C][C]-0.064332[/C][C]-0.5754[/C][C]0.283316[/C][/ROW]
[ROW][C]29[/C][C]0.003507[/C][C]0.0314[/C][C]0.487527[/C][/ROW]
[ROW][C]30[/C][C]-0.072825[/C][C]-0.6514[/C][C]0.258337[/C][/ROW]
[ROW][C]31[/C][C]0.048678[/C][C]0.4354[/C][C]0.332226[/C][/ROW]
[ROW][C]32[/C][C]-0.05774[/C][C]-0.5164[/C][C]0.303485[/C][/ROW]
[ROW][C]33[/C][C]-0.058365[/C][C]-0.522[/C][C]0.301544[/C][/ROW]
[ROW][C]34[/C][C]-0.006294[/C][C]-0.0563[/C][C]0.477623[/C][/ROW]
[ROW][C]35[/C][C]-0.058768[/C][C]-0.5256[/C][C]0.300297[/C][/ROW]
[ROW][C]36[/C][C]0.066785[/C][C]0.5973[/C][C]0.275982[/C][/ROW]
[ROW][C]37[/C][C]-0.065978[/C][C]-0.5901[/C][C]0.278385[/C][/ROW]
[ROW][C]38[/C][C]-0.025439[/C][C]-0.2275[/C][C]0.410294[/C][/ROW]
[ROW][C]39[/C][C]-0.022906[/C][C]-0.2049[/C][C]0.419093[/C][/ROW]
[ROW][C]40[/C][C]0.015628[/C][C]0.1398[/C][C]0.444593[/C][/ROW]
[ROW][C]41[/C][C]-0.020783[/C][C]-0.1859[/C][C]0.4265[/C][/ROW]
[ROW][C]42[/C][C]0.051955[/C][C]0.4647[/C][C]0.321703[/C][/ROW]
[ROW][C]43[/C][C]-0.022012[/C][C]-0.1969[/C][C]0.422209[/C][/ROW]
[ROW][C]44[/C][C]-0.061468[/C][C]-0.5498[/C][C]0.291999[/C][/ROW]
[ROW][C]45[/C][C]-0.000336[/C][C]-0.003[/C][C]0.498804[/C][/ROW]
[ROW][C]46[/C][C]0.033608[/C][C]0.3006[/C][C]0.38225[/C][/ROW]
[ROW][C]47[/C][C]-0.045812[/C][C]-0.4098[/C][C]0.341541[/C][/ROW]
[ROW][C]48[/C][C]-0.032819[/C][C]-0.2935[/C][C]0.384933[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42109&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42109&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
10.9583488.57170
2-0.021269-0.19020.424803
3-0.005276-0.04720.481239
40.0997730.89240.187427
5-0.122589-1.09650.138082
6-0.021052-0.18830.425561
7-0.023538-0.21050.416894
8-0.035643-0.31880.375355
9-0.073303-0.65560.256968
10-0.013839-0.12380.450901
110.0292330.26150.397202
12-0.026002-0.23260.408346
13-0.039996-0.35770.36074
14-0.010373-0.09280.463157
150.0362650.32440.373256
16-0.002178-0.01950.492255
17-0.062145-0.55580.289936
180.0327270.29270.385247
19-0.073499-0.65740.256406
20-0.028361-0.25370.4002
21-0.048479-0.43360.332868
220.0611290.54680.293034
23-0.019247-0.17220.431876
240.0450480.40290.344039
250.0426590.38160.351901
26-0.061887-0.55350.290722
27-0.038974-0.34860.364155
28-0.064332-0.57540.283316
290.0035070.03140.487527
30-0.072825-0.65140.258337
310.0486780.43540.332226
32-0.05774-0.51640.303485
33-0.058365-0.5220.301544
34-0.006294-0.05630.477623
35-0.058768-0.52560.300297
360.0667850.59730.275982
37-0.065978-0.59010.278385
38-0.025439-0.22750.410294
39-0.022906-0.20490.419093
400.0156280.13980.444593
41-0.020783-0.18590.4265
420.0519550.46470.321703
43-0.022012-0.19690.422209
44-0.061468-0.54980.291999
45-0.000336-0.0030.498804
460.0336080.30060.38225
47-0.045812-0.40980.341541
48-0.032819-0.29350.384933



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')