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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 05 Jun 2009 09:38:47 -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/05/t1244216445mfhaz8gm1cjf6ef.htm/, Retrieved Fri, 10 May 2024 11:53:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41878, Retrieved Fri, 10 May 2024 11:53:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Jurgen Leemans - ...] [2009-06-05 15:38:47] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
163.40
162.89
162.29
161.26
161.43
161.44
161.44
161.44
161.92
162.23
161.89
161.40
161.40
159.55
158.93
158.59
158.29
158.03
158.03
163.94
164.36
164.39
163.22
163.22
163.56
162.82
162.80
162.44
161.98
161.53
161.53
161.52
162.07
161.84
161.54
161.47
161.47
161.54
161.57
160.75
160.31
160.57
160.57
159.65
158.76
158.95
159.25
158.72
158.72
158.72
158.53
157.92
157.89
157.81
157.81
157.88
157.52
156.11
155.61
155.31
155.31
155.31
153.09
151.94
151.73
151.65
151.65
151.09
149.94
149.47
149.15
149.22




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=41878&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=41878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41878&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
10.1546391.3030.09839
2-0.035922-0.30270.381508
3-0.131239-1.10580.136265
40.0102080.0860.465847
50.0470230.39620.346565
6-0.195642-1.64850.051834
7-0.005275-0.04440.482336
8-0.074608-0.62870.265794
9-0.061318-0.51670.303496
100.0332820.28040.389979
110.1387391.1690.123149
120.0956770.80620.211412
130.0945690.79680.214098
140.0346540.2920.38557
150.0431760.36380.358541
16-0.096905-0.81650.208463
17-0.042066-0.35450.362025
180.0196350.16540.434533
190.0276440.23290.408241
20-0.08384-0.70640.241111
21-0.058034-0.4890.313172
220.0560520.47230.319081
230.0324410.27330.392689
24-0.072352-0.60960.272021
25-0.075227-0.63390.264099
260.0509310.42920.334555
270.0257420.21690.414453
28-0.024187-0.20380.419544
290.0523590.44120.330209
300.0150110.12650.449852
31-0.025174-0.21210.41631
32-0.070382-0.5930.277516
330.0057740.04870.480665
340.0318120.26810.394718
350.0147120.1240.450845
360.0070780.05960.476306
37-0.003103-0.02610.489609
38-0.148103-1.24790.108077
39-0.069242-0.58340.280723
400.0362720.30560.380388
410.0517460.4360.332073
42-0.001056-0.00890.496462
43-0.224443-1.89120.031339
44-0.085029-0.71650.238028
450.0070760.05960.47631
460.0386460.32560.372827
470.0230480.19420.423283
48-0.038523-0.32460.37322

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.154639 & 1.303 & 0.09839 \tabularnewline
2 & -0.035922 & -0.3027 & 0.381508 \tabularnewline
3 & -0.131239 & -1.1058 & 0.136265 \tabularnewline
4 & 0.010208 & 0.086 & 0.465847 \tabularnewline
5 & 0.047023 & 0.3962 & 0.346565 \tabularnewline
6 & -0.195642 & -1.6485 & 0.051834 \tabularnewline
7 & -0.005275 & -0.0444 & 0.482336 \tabularnewline
8 & -0.074608 & -0.6287 & 0.265794 \tabularnewline
9 & -0.061318 & -0.5167 & 0.303496 \tabularnewline
10 & 0.033282 & 0.2804 & 0.389979 \tabularnewline
11 & 0.138739 & 1.169 & 0.123149 \tabularnewline
12 & 0.095677 & 0.8062 & 0.211412 \tabularnewline
13 & 0.094569 & 0.7968 & 0.214098 \tabularnewline
14 & 0.034654 & 0.292 & 0.38557 \tabularnewline
15 & 0.043176 & 0.3638 & 0.358541 \tabularnewline
16 & -0.096905 & -0.8165 & 0.208463 \tabularnewline
17 & -0.042066 & -0.3545 & 0.362025 \tabularnewline
18 & 0.019635 & 0.1654 & 0.434533 \tabularnewline
19 & 0.027644 & 0.2329 & 0.408241 \tabularnewline
20 & -0.08384 & -0.7064 & 0.241111 \tabularnewline
21 & -0.058034 & -0.489 & 0.313172 \tabularnewline
22 & 0.056052 & 0.4723 & 0.319081 \tabularnewline
23 & 0.032441 & 0.2733 & 0.392689 \tabularnewline
24 & -0.072352 & -0.6096 & 0.272021 \tabularnewline
25 & -0.075227 & -0.6339 & 0.264099 \tabularnewline
26 & 0.050931 & 0.4292 & 0.334555 \tabularnewline
27 & 0.025742 & 0.2169 & 0.414453 \tabularnewline
28 & -0.024187 & -0.2038 & 0.419544 \tabularnewline
29 & 0.052359 & 0.4412 & 0.330209 \tabularnewline
30 & 0.015011 & 0.1265 & 0.449852 \tabularnewline
31 & -0.025174 & -0.2121 & 0.41631 \tabularnewline
32 & -0.070382 & -0.593 & 0.277516 \tabularnewline
33 & 0.005774 & 0.0487 & 0.480665 \tabularnewline
34 & 0.031812 & 0.2681 & 0.394718 \tabularnewline
35 & 0.014712 & 0.124 & 0.450845 \tabularnewline
36 & 0.007078 & 0.0596 & 0.476306 \tabularnewline
37 & -0.003103 & -0.0261 & 0.489609 \tabularnewline
38 & -0.148103 & -1.2479 & 0.108077 \tabularnewline
39 & -0.069242 & -0.5834 & 0.280723 \tabularnewline
40 & 0.036272 & 0.3056 & 0.380388 \tabularnewline
41 & 0.051746 & 0.436 & 0.332073 \tabularnewline
42 & -0.001056 & -0.0089 & 0.496462 \tabularnewline
43 & -0.224443 & -1.8912 & 0.031339 \tabularnewline
44 & -0.085029 & -0.7165 & 0.238028 \tabularnewline
45 & 0.007076 & 0.0596 & 0.47631 \tabularnewline
46 & 0.038646 & 0.3256 & 0.372827 \tabularnewline
47 & 0.023048 & 0.1942 & 0.423283 \tabularnewline
48 & -0.038523 & -0.3246 & 0.37322 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41878&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]0.154639[/C][C]1.303[/C][C]0.09839[/C][/ROW]
[ROW][C]2[/C][C]-0.035922[/C][C]-0.3027[/C][C]0.381508[/C][/ROW]
[ROW][C]3[/C][C]-0.131239[/C][C]-1.1058[/C][C]0.136265[/C][/ROW]
[ROW][C]4[/C][C]0.010208[/C][C]0.086[/C][C]0.465847[/C][/ROW]
[ROW][C]5[/C][C]0.047023[/C][C]0.3962[/C][C]0.346565[/C][/ROW]
[ROW][C]6[/C][C]-0.195642[/C][C]-1.6485[/C][C]0.051834[/C][/ROW]
[ROW][C]7[/C][C]-0.005275[/C][C]-0.0444[/C][C]0.482336[/C][/ROW]
[ROW][C]8[/C][C]-0.074608[/C][C]-0.6287[/C][C]0.265794[/C][/ROW]
[ROW][C]9[/C][C]-0.061318[/C][C]-0.5167[/C][C]0.303496[/C][/ROW]
[ROW][C]10[/C][C]0.033282[/C][C]0.2804[/C][C]0.389979[/C][/ROW]
[ROW][C]11[/C][C]0.138739[/C][C]1.169[/C][C]0.123149[/C][/ROW]
[ROW][C]12[/C][C]0.095677[/C][C]0.8062[/C][C]0.211412[/C][/ROW]
[ROW][C]13[/C][C]0.094569[/C][C]0.7968[/C][C]0.214098[/C][/ROW]
[ROW][C]14[/C][C]0.034654[/C][C]0.292[/C][C]0.38557[/C][/ROW]
[ROW][C]15[/C][C]0.043176[/C][C]0.3638[/C][C]0.358541[/C][/ROW]
[ROW][C]16[/C][C]-0.096905[/C][C]-0.8165[/C][C]0.208463[/C][/ROW]
[ROW][C]17[/C][C]-0.042066[/C][C]-0.3545[/C][C]0.362025[/C][/ROW]
[ROW][C]18[/C][C]0.019635[/C][C]0.1654[/C][C]0.434533[/C][/ROW]
[ROW][C]19[/C][C]0.027644[/C][C]0.2329[/C][C]0.408241[/C][/ROW]
[ROW][C]20[/C][C]-0.08384[/C][C]-0.7064[/C][C]0.241111[/C][/ROW]
[ROW][C]21[/C][C]-0.058034[/C][C]-0.489[/C][C]0.313172[/C][/ROW]
[ROW][C]22[/C][C]0.056052[/C][C]0.4723[/C][C]0.319081[/C][/ROW]
[ROW][C]23[/C][C]0.032441[/C][C]0.2733[/C][C]0.392689[/C][/ROW]
[ROW][C]24[/C][C]-0.072352[/C][C]-0.6096[/C][C]0.272021[/C][/ROW]
[ROW][C]25[/C][C]-0.075227[/C][C]-0.6339[/C][C]0.264099[/C][/ROW]
[ROW][C]26[/C][C]0.050931[/C][C]0.4292[/C][C]0.334555[/C][/ROW]
[ROW][C]27[/C][C]0.025742[/C][C]0.2169[/C][C]0.414453[/C][/ROW]
[ROW][C]28[/C][C]-0.024187[/C][C]-0.2038[/C][C]0.419544[/C][/ROW]
[ROW][C]29[/C][C]0.052359[/C][C]0.4412[/C][C]0.330209[/C][/ROW]
[ROW][C]30[/C][C]0.015011[/C][C]0.1265[/C][C]0.449852[/C][/ROW]
[ROW][C]31[/C][C]-0.025174[/C][C]-0.2121[/C][C]0.41631[/C][/ROW]
[ROW][C]32[/C][C]-0.070382[/C][C]-0.593[/C][C]0.277516[/C][/ROW]
[ROW][C]33[/C][C]0.005774[/C][C]0.0487[/C][C]0.480665[/C][/ROW]
[ROW][C]34[/C][C]0.031812[/C][C]0.2681[/C][C]0.394718[/C][/ROW]
[ROW][C]35[/C][C]0.014712[/C][C]0.124[/C][C]0.450845[/C][/ROW]
[ROW][C]36[/C][C]0.007078[/C][C]0.0596[/C][C]0.476306[/C][/ROW]
[ROW][C]37[/C][C]-0.003103[/C][C]-0.0261[/C][C]0.489609[/C][/ROW]
[ROW][C]38[/C][C]-0.148103[/C][C]-1.2479[/C][C]0.108077[/C][/ROW]
[ROW][C]39[/C][C]-0.069242[/C][C]-0.5834[/C][C]0.280723[/C][/ROW]
[ROW][C]40[/C][C]0.036272[/C][C]0.3056[/C][C]0.380388[/C][/ROW]
[ROW][C]41[/C][C]0.051746[/C][C]0.436[/C][C]0.332073[/C][/ROW]
[ROW][C]42[/C][C]-0.001056[/C][C]-0.0089[/C][C]0.496462[/C][/ROW]
[ROW][C]43[/C][C]-0.224443[/C][C]-1.8912[/C][C]0.031339[/C][/ROW]
[ROW][C]44[/C][C]-0.085029[/C][C]-0.7165[/C][C]0.238028[/C][/ROW]
[ROW][C]45[/C][C]0.007076[/C][C]0.0596[/C][C]0.47631[/C][/ROW]
[ROW][C]46[/C][C]0.038646[/C][C]0.3256[/C][C]0.372827[/C][/ROW]
[ROW][C]47[/C][C]0.023048[/C][C]0.1942[/C][C]0.423283[/C][/ROW]
[ROW][C]48[/C][C]-0.038523[/C][C]-0.3246[/C][C]0.37322[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41878&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
10.1546391.3030.09839
2-0.035922-0.30270.381508
3-0.131239-1.10580.136265
40.0102080.0860.465847
50.0470230.39620.346565
6-0.195642-1.64850.051834
7-0.005275-0.04440.482336
8-0.074608-0.62870.265794
9-0.061318-0.51670.303496
100.0332820.28040.389979
110.1387391.1690.123149
120.0956770.80620.211412
130.0945690.79680.214098
140.0346540.2920.38557
150.0431760.36380.358541
16-0.096905-0.81650.208463
17-0.042066-0.35450.362025
180.0196350.16540.434533
190.0276440.23290.408241
20-0.08384-0.70640.241111
21-0.058034-0.4890.313172
220.0560520.47230.319081
230.0324410.27330.392689
24-0.072352-0.60960.272021
25-0.075227-0.63390.264099
260.0509310.42920.334555
270.0257420.21690.414453
28-0.024187-0.20380.419544
290.0523590.44120.330209
300.0150110.12650.449852
31-0.025174-0.21210.41631
32-0.070382-0.5930.277516
330.0057740.04870.480665
340.0318120.26810.394718
350.0147120.1240.450845
360.0070780.05960.476306
37-0.003103-0.02610.489609
38-0.148103-1.24790.108077
39-0.069242-0.58340.280723
400.0362720.30560.380388
410.0517460.4360.332073
42-0.001056-0.00890.496462
43-0.224443-1.89120.031339
44-0.085029-0.71650.238028
450.0070760.05960.47631
460.0386460.32560.372827
470.0230480.19420.423283
48-0.038523-0.32460.37322







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1546391.3030.09839
2-0.061301-0.51650.303544
3-0.11915-1.0040.1594
40.0497740.41940.338093
50.0291750.24580.403262
6-0.232632-1.96020.026949
70.0814090.6860.247484
8-0.094855-0.79930.213402
9-0.105981-0.8930.187434
100.0886290.74680.228824
110.1276781.07580.142821
12-0.029739-0.25060.401428
130.1582931.33380.093266
140.0160280.13510.446477
15-0.001327-0.01120.495555
16-0.072546-0.61130.271482
170.039480.33270.370183
180.0044830.03780.484988
190.0675810.56940.285425
20-0.085557-0.72090.236663
210.019220.1620.435902
220.0293890.24760.402564
23-0.02442-0.20580.418781
24-0.132243-1.11430.134454
25-0.021363-0.180.428829
260.0101610.08560.466006
27-0.004987-0.0420.483299
28-0.025877-0.2180.414009
290.1121450.94490.173945
30-0.065515-0.5520.291327
31-0.018494-0.15580.438303
32-0.042018-0.3540.362177
330.0029880.02520.489992
34-0.009444-0.07960.468398
350.1084780.91410.181892
36-0.021416-0.18050.428654
370.022890.19290.423802
38-0.169097-1.42480.079293
390.0034790.02930.488348
40-0.023786-0.20040.420859
410.0041630.03510.486059
42-0.020045-0.16890.433177
43-0.161393-1.35990.089078
44-0.120663-1.01670.156368
450.047360.39910.345523
46-0.075756-0.63830.262657
470.0021760.01830.49271
48-0.045916-0.38690.349997

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.154639 & 1.303 & 0.09839 \tabularnewline
2 & -0.061301 & -0.5165 & 0.303544 \tabularnewline
3 & -0.11915 & -1.004 & 0.1594 \tabularnewline
4 & 0.049774 & 0.4194 & 0.338093 \tabularnewline
5 & 0.029175 & 0.2458 & 0.403262 \tabularnewline
6 & -0.232632 & -1.9602 & 0.026949 \tabularnewline
7 & 0.081409 & 0.686 & 0.247484 \tabularnewline
8 & -0.094855 & -0.7993 & 0.213402 \tabularnewline
9 & -0.105981 & -0.893 & 0.187434 \tabularnewline
10 & 0.088629 & 0.7468 & 0.228824 \tabularnewline
11 & 0.127678 & 1.0758 & 0.142821 \tabularnewline
12 & -0.029739 & -0.2506 & 0.401428 \tabularnewline
13 & 0.158293 & 1.3338 & 0.093266 \tabularnewline
14 & 0.016028 & 0.1351 & 0.446477 \tabularnewline
15 & -0.001327 & -0.0112 & 0.495555 \tabularnewline
16 & -0.072546 & -0.6113 & 0.271482 \tabularnewline
17 & 0.03948 & 0.3327 & 0.370183 \tabularnewline
18 & 0.004483 & 0.0378 & 0.484988 \tabularnewline
19 & 0.067581 & 0.5694 & 0.285425 \tabularnewline
20 & -0.085557 & -0.7209 & 0.236663 \tabularnewline
21 & 0.01922 & 0.162 & 0.435902 \tabularnewline
22 & 0.029389 & 0.2476 & 0.402564 \tabularnewline
23 & -0.02442 & -0.2058 & 0.418781 \tabularnewline
24 & -0.132243 & -1.1143 & 0.134454 \tabularnewline
25 & -0.021363 & -0.18 & 0.428829 \tabularnewline
26 & 0.010161 & 0.0856 & 0.466006 \tabularnewline
27 & -0.004987 & -0.042 & 0.483299 \tabularnewline
28 & -0.025877 & -0.218 & 0.414009 \tabularnewline
29 & 0.112145 & 0.9449 & 0.173945 \tabularnewline
30 & -0.065515 & -0.552 & 0.291327 \tabularnewline
31 & -0.018494 & -0.1558 & 0.438303 \tabularnewline
32 & -0.042018 & -0.354 & 0.362177 \tabularnewline
33 & 0.002988 & 0.0252 & 0.489992 \tabularnewline
34 & -0.009444 & -0.0796 & 0.468398 \tabularnewline
35 & 0.108478 & 0.9141 & 0.181892 \tabularnewline
36 & -0.021416 & -0.1805 & 0.428654 \tabularnewline
37 & 0.02289 & 0.1929 & 0.423802 \tabularnewline
38 & -0.169097 & -1.4248 & 0.079293 \tabularnewline
39 & 0.003479 & 0.0293 & 0.488348 \tabularnewline
40 & -0.023786 & -0.2004 & 0.420859 \tabularnewline
41 & 0.004163 & 0.0351 & 0.486059 \tabularnewline
42 & -0.020045 & -0.1689 & 0.433177 \tabularnewline
43 & -0.161393 & -1.3599 & 0.089078 \tabularnewline
44 & -0.120663 & -1.0167 & 0.156368 \tabularnewline
45 & 0.04736 & 0.3991 & 0.345523 \tabularnewline
46 & -0.075756 & -0.6383 & 0.262657 \tabularnewline
47 & 0.002176 & 0.0183 & 0.49271 \tabularnewline
48 & -0.045916 & -0.3869 & 0.349997 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41878&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]0.154639[/C][C]1.303[/C][C]0.09839[/C][/ROW]
[ROW][C]2[/C][C]-0.061301[/C][C]-0.5165[/C][C]0.303544[/C][/ROW]
[ROW][C]3[/C][C]-0.11915[/C][C]-1.004[/C][C]0.1594[/C][/ROW]
[ROW][C]4[/C][C]0.049774[/C][C]0.4194[/C][C]0.338093[/C][/ROW]
[ROW][C]5[/C][C]0.029175[/C][C]0.2458[/C][C]0.403262[/C][/ROW]
[ROW][C]6[/C][C]-0.232632[/C][C]-1.9602[/C][C]0.026949[/C][/ROW]
[ROW][C]7[/C][C]0.081409[/C][C]0.686[/C][C]0.247484[/C][/ROW]
[ROW][C]8[/C][C]-0.094855[/C][C]-0.7993[/C][C]0.213402[/C][/ROW]
[ROW][C]9[/C][C]-0.105981[/C][C]-0.893[/C][C]0.187434[/C][/ROW]
[ROW][C]10[/C][C]0.088629[/C][C]0.7468[/C][C]0.228824[/C][/ROW]
[ROW][C]11[/C][C]0.127678[/C][C]1.0758[/C][C]0.142821[/C][/ROW]
[ROW][C]12[/C][C]-0.029739[/C][C]-0.2506[/C][C]0.401428[/C][/ROW]
[ROW][C]13[/C][C]0.158293[/C][C]1.3338[/C][C]0.093266[/C][/ROW]
[ROW][C]14[/C][C]0.016028[/C][C]0.1351[/C][C]0.446477[/C][/ROW]
[ROW][C]15[/C][C]-0.001327[/C][C]-0.0112[/C][C]0.495555[/C][/ROW]
[ROW][C]16[/C][C]-0.072546[/C][C]-0.6113[/C][C]0.271482[/C][/ROW]
[ROW][C]17[/C][C]0.03948[/C][C]0.3327[/C][C]0.370183[/C][/ROW]
[ROW][C]18[/C][C]0.004483[/C][C]0.0378[/C][C]0.484988[/C][/ROW]
[ROW][C]19[/C][C]0.067581[/C][C]0.5694[/C][C]0.285425[/C][/ROW]
[ROW][C]20[/C][C]-0.085557[/C][C]-0.7209[/C][C]0.236663[/C][/ROW]
[ROW][C]21[/C][C]0.01922[/C][C]0.162[/C][C]0.435902[/C][/ROW]
[ROW][C]22[/C][C]0.029389[/C][C]0.2476[/C][C]0.402564[/C][/ROW]
[ROW][C]23[/C][C]-0.02442[/C][C]-0.2058[/C][C]0.418781[/C][/ROW]
[ROW][C]24[/C][C]-0.132243[/C][C]-1.1143[/C][C]0.134454[/C][/ROW]
[ROW][C]25[/C][C]-0.021363[/C][C]-0.18[/C][C]0.428829[/C][/ROW]
[ROW][C]26[/C][C]0.010161[/C][C]0.0856[/C][C]0.466006[/C][/ROW]
[ROW][C]27[/C][C]-0.004987[/C][C]-0.042[/C][C]0.483299[/C][/ROW]
[ROW][C]28[/C][C]-0.025877[/C][C]-0.218[/C][C]0.414009[/C][/ROW]
[ROW][C]29[/C][C]0.112145[/C][C]0.9449[/C][C]0.173945[/C][/ROW]
[ROW][C]30[/C][C]-0.065515[/C][C]-0.552[/C][C]0.291327[/C][/ROW]
[ROW][C]31[/C][C]-0.018494[/C][C]-0.1558[/C][C]0.438303[/C][/ROW]
[ROW][C]32[/C][C]-0.042018[/C][C]-0.354[/C][C]0.362177[/C][/ROW]
[ROW][C]33[/C][C]0.002988[/C][C]0.0252[/C][C]0.489992[/C][/ROW]
[ROW][C]34[/C][C]-0.009444[/C][C]-0.0796[/C][C]0.468398[/C][/ROW]
[ROW][C]35[/C][C]0.108478[/C][C]0.9141[/C][C]0.181892[/C][/ROW]
[ROW][C]36[/C][C]-0.021416[/C][C]-0.1805[/C][C]0.428654[/C][/ROW]
[ROW][C]37[/C][C]0.02289[/C][C]0.1929[/C][C]0.423802[/C][/ROW]
[ROW][C]38[/C][C]-0.169097[/C][C]-1.4248[/C][C]0.079293[/C][/ROW]
[ROW][C]39[/C][C]0.003479[/C][C]0.0293[/C][C]0.488348[/C][/ROW]
[ROW][C]40[/C][C]-0.023786[/C][C]-0.2004[/C][C]0.420859[/C][/ROW]
[ROW][C]41[/C][C]0.004163[/C][C]0.0351[/C][C]0.486059[/C][/ROW]
[ROW][C]42[/C][C]-0.020045[/C][C]-0.1689[/C][C]0.433177[/C][/ROW]
[ROW][C]43[/C][C]-0.161393[/C][C]-1.3599[/C][C]0.089078[/C][/ROW]
[ROW][C]44[/C][C]-0.120663[/C][C]-1.0167[/C][C]0.156368[/C][/ROW]
[ROW][C]45[/C][C]0.04736[/C][C]0.3991[/C][C]0.345523[/C][/ROW]
[ROW][C]46[/C][C]-0.075756[/C][C]-0.6383[/C][C]0.262657[/C][/ROW]
[ROW][C]47[/C][C]0.002176[/C][C]0.0183[/C][C]0.49271[/C][/ROW]
[ROW][C]48[/C][C]-0.045916[/C][C]-0.3869[/C][C]0.349997[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41878&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41878&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
10.1546391.3030.09839
2-0.061301-0.51650.303544
3-0.11915-1.0040.1594
40.0497740.41940.338093
50.0291750.24580.403262
6-0.232632-1.96020.026949
70.0814090.6860.247484
8-0.094855-0.79930.213402
9-0.105981-0.8930.187434
100.0886290.74680.228824
110.1276781.07580.142821
12-0.029739-0.25060.401428
130.1582931.33380.093266
140.0160280.13510.446477
15-0.001327-0.01120.495555
16-0.072546-0.61130.271482
170.039480.33270.370183
180.0044830.03780.484988
190.0675810.56940.285425
20-0.085557-0.72090.236663
210.019220.1620.435902
220.0293890.24760.402564
23-0.02442-0.20580.418781
24-0.132243-1.11430.134454
25-0.021363-0.180.428829
260.0101610.08560.466006
27-0.004987-0.0420.483299
28-0.025877-0.2180.414009
290.1121450.94490.173945
30-0.065515-0.5520.291327
31-0.018494-0.15580.438303
32-0.042018-0.3540.362177
330.0029880.02520.489992
34-0.009444-0.07960.468398
350.1084780.91410.181892
36-0.021416-0.18050.428654
370.022890.19290.423802
38-0.169097-1.42480.079293
390.0034790.02930.488348
40-0.023786-0.20040.420859
410.0041630.03510.486059
42-0.020045-0.16890.433177
43-0.161393-1.35990.089078
44-0.120663-1.01670.156368
450.047360.39910.345523
46-0.075756-0.63830.262657
470.0021760.01830.49271
48-0.045916-0.38690.349997



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')