Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 04 Dec 2007 04:52:44 -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/Dec/04/t1196768532vjzlcr2xs3s8mv9.htm/, Retrieved Thu, 02 May 2024 11:43:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2366, Retrieved Thu, 02 May 2024 11:43:01 +0000
QR Codes:

Original text written by user:D=0 d=1 workshop: Estimation of ARMA processes vraag 1
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Partial Autocorre...] [2007-12-04 11:52:44] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
Feedback Forum

Post a new message
Dataseries X:
103,9
104,5
106,3
108,6
110,0
110,4
109,8
108,8
108,9
109,7
110,4
111,5
112,7
113,8
113,9
113,4
113,8
114,1
113,5
113,9
116,1
118,4
120,5
122,0
121,4
120,5
120,8
110,4
109,3
108,9
110,0
112,3
114,5
114,8
113,3
112,2
112,8
113,8
114,2
114,7
115,2
115,0
114,9
114,4
113,8
114,5
116,0
116,7
116,4
116,0
115,9
115,4
115,2
115,8




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=2366&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=2366&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2366&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
017.28010
10.2627831.91310.030573
20.0960990.69960.243614
3-0.102981-0.74970.771629
4-0.319563-2.32650.988075
5-0.319684-2.32730.9881
6-0.161082-1.17270.876919
7-0.005578-0.04060.516119
80.1273840.92740.178969
90.1566631.14050.129598
100.0868410.63220.264982
110.0202380.14730.441714
12-0.030643-0.22310.587837
13-0.080926-0.58910.720868
14-0.068135-0.4960.689038
15-0.053014-0.38590.64946
160.0092610.06740.473249
170.0671080.48860.313587
18-0.005639-0.04110.516296
19-0.004467-0.03250.512912
200.0885790.64490.260899
210.069860.50860.306574
22-0.009269-0.06750.526773
23-0.07067-0.51450.695475
24-0.09639-0.70170.75704
25-0.089132-0.64890.740394
26-0.041886-0.30490.619194
270.0345010.25120.401328
280.0393380.28640.38785
290.0219470.15980.436831
30-0.016533-0.12040.547675
31-0.052833-0.38460.648974
32-0.042698-0.31080.621431
330.0024190.01760.493009
340.0261730.19050.424807
350.021490.15650.438135
360.0201060.14640.442092
370.0126140.09180.463588
38-0.015451-0.11250.544569
39-0.036886-0.26850.605334
40-0.034361-0.25020.598281
41-0.013729-0.09990.539618
420.0118960.08660.465655
430.0265860.19360.423634
440.0227470.16560.43455
450.0024520.01790.492912
46-0.014975-0.1090.543202
47-0.017997-0.1310.551871

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.2801 & 0 \tabularnewline
1 & 0.262783 & 1.9131 & 0.030573 \tabularnewline
2 & 0.096099 & 0.6996 & 0.243614 \tabularnewline
3 & -0.102981 & -0.7497 & 0.771629 \tabularnewline
4 & -0.319563 & -2.3265 & 0.988075 \tabularnewline
5 & -0.319684 & -2.3273 & 0.9881 \tabularnewline
6 & -0.161082 & -1.1727 & 0.876919 \tabularnewline
7 & -0.005578 & -0.0406 & 0.516119 \tabularnewline
8 & 0.127384 & 0.9274 & 0.178969 \tabularnewline
9 & 0.156663 & 1.1405 & 0.129598 \tabularnewline
10 & 0.086841 & 0.6322 & 0.264982 \tabularnewline
11 & 0.020238 & 0.1473 & 0.441714 \tabularnewline
12 & -0.030643 & -0.2231 & 0.587837 \tabularnewline
13 & -0.080926 & -0.5891 & 0.720868 \tabularnewline
14 & -0.068135 & -0.496 & 0.689038 \tabularnewline
15 & -0.053014 & -0.3859 & 0.64946 \tabularnewline
16 & 0.009261 & 0.0674 & 0.473249 \tabularnewline
17 & 0.067108 & 0.4886 & 0.313587 \tabularnewline
18 & -0.005639 & -0.0411 & 0.516296 \tabularnewline
19 & -0.004467 & -0.0325 & 0.512912 \tabularnewline
20 & 0.088579 & 0.6449 & 0.260899 \tabularnewline
21 & 0.06986 & 0.5086 & 0.306574 \tabularnewline
22 & -0.009269 & -0.0675 & 0.526773 \tabularnewline
23 & -0.07067 & -0.5145 & 0.695475 \tabularnewline
24 & -0.09639 & -0.7017 & 0.75704 \tabularnewline
25 & -0.089132 & -0.6489 & 0.740394 \tabularnewline
26 & -0.041886 & -0.3049 & 0.619194 \tabularnewline
27 & 0.034501 & 0.2512 & 0.401328 \tabularnewline
28 & 0.039338 & 0.2864 & 0.38785 \tabularnewline
29 & 0.021947 & 0.1598 & 0.436831 \tabularnewline
30 & -0.016533 & -0.1204 & 0.547675 \tabularnewline
31 & -0.052833 & -0.3846 & 0.648974 \tabularnewline
32 & -0.042698 & -0.3108 & 0.621431 \tabularnewline
33 & 0.002419 & 0.0176 & 0.493009 \tabularnewline
34 & 0.026173 & 0.1905 & 0.424807 \tabularnewline
35 & 0.02149 & 0.1565 & 0.438135 \tabularnewline
36 & 0.020106 & 0.1464 & 0.442092 \tabularnewline
37 & 0.012614 & 0.0918 & 0.463588 \tabularnewline
38 & -0.015451 & -0.1125 & 0.544569 \tabularnewline
39 & -0.036886 & -0.2685 & 0.605334 \tabularnewline
40 & -0.034361 & -0.2502 & 0.598281 \tabularnewline
41 & -0.013729 & -0.0999 & 0.539618 \tabularnewline
42 & 0.011896 & 0.0866 & 0.465655 \tabularnewline
43 & 0.026586 & 0.1936 & 0.423634 \tabularnewline
44 & 0.022747 & 0.1656 & 0.43455 \tabularnewline
45 & 0.002452 & 0.0179 & 0.492912 \tabularnewline
46 & -0.014975 & -0.109 & 0.543202 \tabularnewline
47 & -0.017997 & -0.131 & 0.551871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2366&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]7.2801[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.262783[/C][C]1.9131[/C][C]0.030573[/C][/ROW]
[ROW][C]2[/C][C]0.096099[/C][C]0.6996[/C][C]0.243614[/C][/ROW]
[ROW][C]3[/C][C]-0.102981[/C][C]-0.7497[/C][C]0.771629[/C][/ROW]
[ROW][C]4[/C][C]-0.319563[/C][C]-2.3265[/C][C]0.988075[/C][/ROW]
[ROW][C]5[/C][C]-0.319684[/C][C]-2.3273[/C][C]0.9881[/C][/ROW]
[ROW][C]6[/C][C]-0.161082[/C][C]-1.1727[/C][C]0.876919[/C][/ROW]
[ROW][C]7[/C][C]-0.005578[/C][C]-0.0406[/C][C]0.516119[/C][/ROW]
[ROW][C]8[/C][C]0.127384[/C][C]0.9274[/C][C]0.178969[/C][/ROW]
[ROW][C]9[/C][C]0.156663[/C][C]1.1405[/C][C]0.129598[/C][/ROW]
[ROW][C]10[/C][C]0.086841[/C][C]0.6322[/C][C]0.264982[/C][/ROW]
[ROW][C]11[/C][C]0.020238[/C][C]0.1473[/C][C]0.441714[/C][/ROW]
[ROW][C]12[/C][C]-0.030643[/C][C]-0.2231[/C][C]0.587837[/C][/ROW]
[ROW][C]13[/C][C]-0.080926[/C][C]-0.5891[/C][C]0.720868[/C][/ROW]
[ROW][C]14[/C][C]-0.068135[/C][C]-0.496[/C][C]0.689038[/C][/ROW]
[ROW][C]15[/C][C]-0.053014[/C][C]-0.3859[/C][C]0.64946[/C][/ROW]
[ROW][C]16[/C][C]0.009261[/C][C]0.0674[/C][C]0.473249[/C][/ROW]
[ROW][C]17[/C][C]0.067108[/C][C]0.4886[/C][C]0.313587[/C][/ROW]
[ROW][C]18[/C][C]-0.005639[/C][C]-0.0411[/C][C]0.516296[/C][/ROW]
[ROW][C]19[/C][C]-0.004467[/C][C]-0.0325[/C][C]0.512912[/C][/ROW]
[ROW][C]20[/C][C]0.088579[/C][C]0.6449[/C][C]0.260899[/C][/ROW]
[ROW][C]21[/C][C]0.06986[/C][C]0.5086[/C][C]0.306574[/C][/ROW]
[ROW][C]22[/C][C]-0.009269[/C][C]-0.0675[/C][C]0.526773[/C][/ROW]
[ROW][C]23[/C][C]-0.07067[/C][C]-0.5145[/C][C]0.695475[/C][/ROW]
[ROW][C]24[/C][C]-0.09639[/C][C]-0.7017[/C][C]0.75704[/C][/ROW]
[ROW][C]25[/C][C]-0.089132[/C][C]-0.6489[/C][C]0.740394[/C][/ROW]
[ROW][C]26[/C][C]-0.041886[/C][C]-0.3049[/C][C]0.619194[/C][/ROW]
[ROW][C]27[/C][C]0.034501[/C][C]0.2512[/C][C]0.401328[/C][/ROW]
[ROW][C]28[/C][C]0.039338[/C][C]0.2864[/C][C]0.38785[/C][/ROW]
[ROW][C]29[/C][C]0.021947[/C][C]0.1598[/C][C]0.436831[/C][/ROW]
[ROW][C]30[/C][C]-0.016533[/C][C]-0.1204[/C][C]0.547675[/C][/ROW]
[ROW][C]31[/C][C]-0.052833[/C][C]-0.3846[/C][C]0.648974[/C][/ROW]
[ROW][C]32[/C][C]-0.042698[/C][C]-0.3108[/C][C]0.621431[/C][/ROW]
[ROW][C]33[/C][C]0.002419[/C][C]0.0176[/C][C]0.493009[/C][/ROW]
[ROW][C]34[/C][C]0.026173[/C][C]0.1905[/C][C]0.424807[/C][/ROW]
[ROW][C]35[/C][C]0.02149[/C][C]0.1565[/C][C]0.438135[/C][/ROW]
[ROW][C]36[/C][C]0.020106[/C][C]0.1464[/C][C]0.442092[/C][/ROW]
[ROW][C]37[/C][C]0.012614[/C][C]0.0918[/C][C]0.463588[/C][/ROW]
[ROW][C]38[/C][C]-0.015451[/C][C]-0.1125[/C][C]0.544569[/C][/ROW]
[ROW][C]39[/C][C]-0.036886[/C][C]-0.2685[/C][C]0.605334[/C][/ROW]
[ROW][C]40[/C][C]-0.034361[/C][C]-0.2502[/C][C]0.598281[/C][/ROW]
[ROW][C]41[/C][C]-0.013729[/C][C]-0.0999[/C][C]0.539618[/C][/ROW]
[ROW][C]42[/C][C]0.011896[/C][C]0.0866[/C][C]0.465655[/C][/ROW]
[ROW][C]43[/C][C]0.026586[/C][C]0.1936[/C][C]0.423634[/C][/ROW]
[ROW][C]44[/C][C]0.022747[/C][C]0.1656[/C][C]0.43455[/C][/ROW]
[ROW][C]45[/C][C]0.002452[/C][C]0.0179[/C][C]0.492912[/C][/ROW]
[ROW][C]46[/C][C]-0.014975[/C][C]-0.109[/C][C]0.543202[/C][/ROW]
[ROW][C]47[/C][C]-0.017997[/C][C]-0.131[/C][C]0.551871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2366&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2366&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
017.28010
10.2627831.91310.030573
20.0960990.69960.243614
3-0.102981-0.74970.771629
4-0.319563-2.32650.988075
5-0.319684-2.32730.9881
6-0.161082-1.17270.876919
7-0.005578-0.04060.516119
80.1273840.92740.178969
90.1566631.14050.129598
100.0868410.63220.264982
110.0202380.14730.441714
12-0.030643-0.22310.587837
13-0.080926-0.58910.720868
14-0.068135-0.4960.689038
15-0.053014-0.38590.64946
160.0092610.06740.473249
170.0671080.48860.313587
18-0.005639-0.04110.516296
19-0.004467-0.03250.512912
200.0885790.64490.260899
210.069860.50860.306574
22-0.009269-0.06750.526773
23-0.07067-0.51450.695475
24-0.09639-0.70170.75704
25-0.089132-0.64890.740394
26-0.041886-0.30490.619194
270.0345010.25120.401328
280.0393380.28640.38785
290.0219470.15980.436831
30-0.016533-0.12040.547675
31-0.052833-0.38460.648974
32-0.042698-0.31080.621431
330.0024190.01760.493009
340.0261730.19050.424807
350.021490.15650.438135
360.0201060.14640.442092
370.0126140.09180.463588
38-0.015451-0.11250.544569
39-0.036886-0.26850.605334
40-0.034361-0.25020.598281
41-0.013729-0.09990.539618
420.0118960.08660.465655
430.0265860.19360.423634
440.0227470.16560.43455
450.0024520.01790.492912
46-0.014975-0.1090.543202
47-0.017997-0.1310.551871







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2627831.91310.030573
10.029050.21150.416658
2-0.145281-1.05770.852497
3-0.28668-2.08710.979146
4-0.190496-1.38680.914351
5-0.022451-0.16340.564606
60.0273480.19910.421474
70.0280810.20440.419401
8-0.022184-0.16150.563843
9-0.064593-0.47020.679945
10-0.024648-0.17940.570863
110.019150.13940.444825
12-0.007516-0.05470.521714
13-0.015946-0.11610.545991
14-0.043651-0.31780.624052
150.0076220.05550.47798
160.0468460.3410.367208
17-0.071775-0.52250.69826
18-0.041768-0.30410.61887
190.1157160.84240.201668
200.0892810.650.259257
21-0.049038-0.3570.638747
22-0.115936-0.8440.798776
23-0.05205-0.37890.646872
240.0183680.13370.447064
250.031010.22580.411129
260.0182810.13310.447314
27-0.077399-0.56350.712256
28-0.096494-0.70250.757274
29-0.051963-0.37830.646638
30-0.012257-0.08920.535385
310.0054290.03950.484311
320.0058240.04240.48317
33-0.015328-0.11160.544216
34-0.033579-0.24450.59609
35-0.033875-0.24660.59692
36-0.023015-0.16760.566214
37-0.001673-0.01220.504837
380.0108790.07920.468585
39-0.011653-0.08480.533643
40-0.041501-0.30210.618133
41-0.028629-0.20840.582152
420.0042590.0310.487692
430.0159780.11630.453918
440.0048790.03550.4859
45-0.016579-0.12070.547805
46-0.029689-0.21610.585144
47-0.025355-0.18460.572872

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.262783 & 1.9131 & 0.030573 \tabularnewline
1 & 0.02905 & 0.2115 & 0.416658 \tabularnewline
2 & -0.145281 & -1.0577 & 0.852497 \tabularnewline
3 & -0.28668 & -2.0871 & 0.979146 \tabularnewline
4 & -0.190496 & -1.3868 & 0.914351 \tabularnewline
5 & -0.022451 & -0.1634 & 0.564606 \tabularnewline
6 & 0.027348 & 0.1991 & 0.421474 \tabularnewline
7 & 0.028081 & 0.2044 & 0.419401 \tabularnewline
8 & -0.022184 & -0.1615 & 0.563843 \tabularnewline
9 & -0.064593 & -0.4702 & 0.679945 \tabularnewline
10 & -0.024648 & -0.1794 & 0.570863 \tabularnewline
11 & 0.01915 & 0.1394 & 0.444825 \tabularnewline
12 & -0.007516 & -0.0547 & 0.521714 \tabularnewline
13 & -0.015946 & -0.1161 & 0.545991 \tabularnewline
14 & -0.043651 & -0.3178 & 0.624052 \tabularnewline
15 & 0.007622 & 0.0555 & 0.47798 \tabularnewline
16 & 0.046846 & 0.341 & 0.367208 \tabularnewline
17 & -0.071775 & -0.5225 & 0.69826 \tabularnewline
18 & -0.041768 & -0.3041 & 0.61887 \tabularnewline
19 & 0.115716 & 0.8424 & 0.201668 \tabularnewline
20 & 0.089281 & 0.65 & 0.259257 \tabularnewline
21 & -0.049038 & -0.357 & 0.638747 \tabularnewline
22 & -0.115936 & -0.844 & 0.798776 \tabularnewline
23 & -0.05205 & -0.3789 & 0.646872 \tabularnewline
24 & 0.018368 & 0.1337 & 0.447064 \tabularnewline
25 & 0.03101 & 0.2258 & 0.411129 \tabularnewline
26 & 0.018281 & 0.1331 & 0.447314 \tabularnewline
27 & -0.077399 & -0.5635 & 0.712256 \tabularnewline
28 & -0.096494 & -0.7025 & 0.757274 \tabularnewline
29 & -0.051963 & -0.3783 & 0.646638 \tabularnewline
30 & -0.012257 & -0.0892 & 0.535385 \tabularnewline
31 & 0.005429 & 0.0395 & 0.484311 \tabularnewline
32 & 0.005824 & 0.0424 & 0.48317 \tabularnewline
33 & -0.015328 & -0.1116 & 0.544216 \tabularnewline
34 & -0.033579 & -0.2445 & 0.59609 \tabularnewline
35 & -0.033875 & -0.2466 & 0.59692 \tabularnewline
36 & -0.023015 & -0.1676 & 0.566214 \tabularnewline
37 & -0.001673 & -0.0122 & 0.504837 \tabularnewline
38 & 0.010879 & 0.0792 & 0.468585 \tabularnewline
39 & -0.011653 & -0.0848 & 0.533643 \tabularnewline
40 & -0.041501 & -0.3021 & 0.618133 \tabularnewline
41 & -0.028629 & -0.2084 & 0.582152 \tabularnewline
42 & 0.004259 & 0.031 & 0.487692 \tabularnewline
43 & 0.015978 & 0.1163 & 0.453918 \tabularnewline
44 & 0.004879 & 0.0355 & 0.4859 \tabularnewline
45 & -0.016579 & -0.1207 & 0.547805 \tabularnewline
46 & -0.029689 & -0.2161 & 0.585144 \tabularnewline
47 & -0.025355 & -0.1846 & 0.572872 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2366&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]0.262783[/C][C]1.9131[/C][C]0.030573[/C][/ROW]
[ROW][C]1[/C][C]0.02905[/C][C]0.2115[/C][C]0.416658[/C][/ROW]
[ROW][C]2[/C][C]-0.145281[/C][C]-1.0577[/C][C]0.852497[/C][/ROW]
[ROW][C]3[/C][C]-0.28668[/C][C]-2.0871[/C][C]0.979146[/C][/ROW]
[ROW][C]4[/C][C]-0.190496[/C][C]-1.3868[/C][C]0.914351[/C][/ROW]
[ROW][C]5[/C][C]-0.022451[/C][C]-0.1634[/C][C]0.564606[/C][/ROW]
[ROW][C]6[/C][C]0.027348[/C][C]0.1991[/C][C]0.421474[/C][/ROW]
[ROW][C]7[/C][C]0.028081[/C][C]0.2044[/C][C]0.419401[/C][/ROW]
[ROW][C]8[/C][C]-0.022184[/C][C]-0.1615[/C][C]0.563843[/C][/ROW]
[ROW][C]9[/C][C]-0.064593[/C][C]-0.4702[/C][C]0.679945[/C][/ROW]
[ROW][C]10[/C][C]-0.024648[/C][C]-0.1794[/C][C]0.570863[/C][/ROW]
[ROW][C]11[/C][C]0.01915[/C][C]0.1394[/C][C]0.444825[/C][/ROW]
[ROW][C]12[/C][C]-0.007516[/C][C]-0.0547[/C][C]0.521714[/C][/ROW]
[ROW][C]13[/C][C]-0.015946[/C][C]-0.1161[/C][C]0.545991[/C][/ROW]
[ROW][C]14[/C][C]-0.043651[/C][C]-0.3178[/C][C]0.624052[/C][/ROW]
[ROW][C]15[/C][C]0.007622[/C][C]0.0555[/C][C]0.47798[/C][/ROW]
[ROW][C]16[/C][C]0.046846[/C][C]0.341[/C][C]0.367208[/C][/ROW]
[ROW][C]17[/C][C]-0.071775[/C][C]-0.5225[/C][C]0.69826[/C][/ROW]
[ROW][C]18[/C][C]-0.041768[/C][C]-0.3041[/C][C]0.61887[/C][/ROW]
[ROW][C]19[/C][C]0.115716[/C][C]0.8424[/C][C]0.201668[/C][/ROW]
[ROW][C]20[/C][C]0.089281[/C][C]0.65[/C][C]0.259257[/C][/ROW]
[ROW][C]21[/C][C]-0.049038[/C][C]-0.357[/C][C]0.638747[/C][/ROW]
[ROW][C]22[/C][C]-0.115936[/C][C]-0.844[/C][C]0.798776[/C][/ROW]
[ROW][C]23[/C][C]-0.05205[/C][C]-0.3789[/C][C]0.646872[/C][/ROW]
[ROW][C]24[/C][C]0.018368[/C][C]0.1337[/C][C]0.447064[/C][/ROW]
[ROW][C]25[/C][C]0.03101[/C][C]0.2258[/C][C]0.411129[/C][/ROW]
[ROW][C]26[/C][C]0.018281[/C][C]0.1331[/C][C]0.447314[/C][/ROW]
[ROW][C]27[/C][C]-0.077399[/C][C]-0.5635[/C][C]0.712256[/C][/ROW]
[ROW][C]28[/C][C]-0.096494[/C][C]-0.7025[/C][C]0.757274[/C][/ROW]
[ROW][C]29[/C][C]-0.051963[/C][C]-0.3783[/C][C]0.646638[/C][/ROW]
[ROW][C]30[/C][C]-0.012257[/C][C]-0.0892[/C][C]0.535385[/C][/ROW]
[ROW][C]31[/C][C]0.005429[/C][C]0.0395[/C][C]0.484311[/C][/ROW]
[ROW][C]32[/C][C]0.005824[/C][C]0.0424[/C][C]0.48317[/C][/ROW]
[ROW][C]33[/C][C]-0.015328[/C][C]-0.1116[/C][C]0.544216[/C][/ROW]
[ROW][C]34[/C][C]-0.033579[/C][C]-0.2445[/C][C]0.59609[/C][/ROW]
[ROW][C]35[/C][C]-0.033875[/C][C]-0.2466[/C][C]0.59692[/C][/ROW]
[ROW][C]36[/C][C]-0.023015[/C][C]-0.1676[/C][C]0.566214[/C][/ROW]
[ROW][C]37[/C][C]-0.001673[/C][C]-0.0122[/C][C]0.504837[/C][/ROW]
[ROW][C]38[/C][C]0.010879[/C][C]0.0792[/C][C]0.468585[/C][/ROW]
[ROW][C]39[/C][C]-0.011653[/C][C]-0.0848[/C][C]0.533643[/C][/ROW]
[ROW][C]40[/C][C]-0.041501[/C][C]-0.3021[/C][C]0.618133[/C][/ROW]
[ROW][C]41[/C][C]-0.028629[/C][C]-0.2084[/C][C]0.582152[/C][/ROW]
[ROW][C]42[/C][C]0.004259[/C][C]0.031[/C][C]0.487692[/C][/ROW]
[ROW][C]43[/C][C]0.015978[/C][C]0.1163[/C][C]0.453918[/C][/ROW]
[ROW][C]44[/C][C]0.004879[/C][C]0.0355[/C][C]0.4859[/C][/ROW]
[ROW][C]45[/C][C]-0.016579[/C][C]-0.1207[/C][C]0.547805[/C][/ROW]
[ROW][C]46[/C][C]-0.029689[/C][C]-0.2161[/C][C]0.585144[/C][/ROW]
[ROW][C]47[/C][C]-0.025355[/C][C]-0.1846[/C][C]0.572872[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2366&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2366&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
00.2627831.91310.030573
10.029050.21150.416658
2-0.145281-1.05770.852497
3-0.28668-2.08710.979146
4-0.190496-1.38680.914351
5-0.022451-0.16340.564606
60.0273480.19910.421474
70.0280810.20440.419401
8-0.022184-0.16150.563843
9-0.064593-0.47020.679945
10-0.024648-0.17940.570863
110.019150.13940.444825
12-0.007516-0.05470.521714
13-0.015946-0.11610.545991
14-0.043651-0.31780.624052
150.0076220.05550.47798
160.0468460.3410.367208
17-0.071775-0.52250.69826
18-0.041768-0.30410.61887
190.1157160.84240.201668
200.0892810.650.259257
21-0.049038-0.3570.638747
22-0.115936-0.8440.798776
23-0.05205-0.37890.646872
240.0183680.13370.447064
250.031010.22580.411129
260.0182810.13310.447314
27-0.077399-0.56350.712256
28-0.096494-0.70250.757274
29-0.051963-0.37830.646638
30-0.012257-0.08920.535385
310.0054290.03950.484311
320.0058240.04240.48317
33-0.015328-0.11160.544216
34-0.033579-0.24450.59609
35-0.033875-0.24660.59692
36-0.023015-0.16760.566214
37-0.001673-0.01220.504837
380.0108790.07920.468585
39-0.011653-0.08480.533643
40-0.041501-0.30210.618133
41-0.028629-0.20840.582152
420.0042590.0310.487692
430.0159780.11630.453918
440.0048790.03550.4859
45-0.016579-0.12070.547805
46-0.029689-0.21610.585144
47-0.025355-0.18460.572872



Parameters (Session):
par1 = 48 ; par2 = 1.5 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.5 ; 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')