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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 20 Dec 2007 08:24:59 -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/20/t119816323953o03xpcze7erpx.htm/, Retrieved Mon, 29 Apr 2024 14:51:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4733, Retrieved Mon, 29 Apr 2024 14:51:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsenergieprijzen d=1 D=0
Estimated Impact238
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF en PACF ] [2007-12-20 15:24:59] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
- R  D    [(Partial) Autocorrelation Function] [] [2008-12-18 10:45:54] [b53e8d20687f12ca59f39c9b7c3a629a]
-   PD      [(Partial) Autocorrelation Function] [nbv] [2008-12-22 11:11:29] [3e7890dd94421c9690e46ab1e7f19911]
-    D    [(Partial) Autocorrelation Function] [] [2008-12-23 14:12:48] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
104,3
103,9
103,9
103,9
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,0
108,2
112,3
111,3
111,3
115,3
117,2
118,3
118,3
118,3
119,0
120,6
122,6
122,6
127,4
125,9
121,5
118,8
121,6
122,3
122,7
120,8
120,1
120,1
120,1
120,1
128,4
129,8
129,8
128,6
128,6
133,7
130,0
125,9
129,4
129,4
130,6
130,6
130,6
130,8
129,7
125,8
126,0
125,6
125,4
124,7
126,9
129,1




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=4733&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=4733&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4733&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
018.5440
10.0334230.28560.388011
2-0.230803-1.9720.9738
3-0.031304-0.26750.605065
40.0451810.3860.350299
50.0579130.49480.311111
6-0.14447-1.23430.889484
7-0.122781-1.0490.85119
80.2711082.31630.011675
9-0.035663-0.30470.619272
10-0.268508-2.29410.987669
11-0.141061-1.20520.883995
120.2428032.07450.020779
130.0657270.56160.288065
14-0.224695-1.91980.970604
15-0.239264-2.04430.977733
160.1454861.2430.108917
170.0795740.67990.249365
18-0.124432-1.06320.854391
19-0.083701-0.71510.761599
200.1559431.33240.09344
210.1055190.90160.185128
22-0.014332-0.12250.548561
23-0.075568-0.64570.739735
240.2196021.87630.032307
250.054880.46890.320271
260.0005930.00510.497987
27-0.113835-0.97260.83302
28-0.011726-0.10020.539764
290.1036030.88520.189481
30-0.130209-1.11250.865215
31-0.146602-1.25260.89282
320.0551480.47120.319457
330.023910.20430.419348
340.0183760.1570.437838
35-0.033664-0.28760.612774
360.012290.1050.458328
37-0.025669-0.21930.586493
38-0.084277-0.72010.763108
39-0.111573-0.95330.828203
400.0513440.43870.331094
410.050090.4280.334967
420.0297720.25440.399962
43-0.057035-0.48730.686249
440.0067710.05780.477014
450.026040.22250.412277
460.0028350.02420.49037
47-0.002762-0.02360.509382

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.544 & 0 \tabularnewline
1 & 0.033423 & 0.2856 & 0.388011 \tabularnewline
2 & -0.230803 & -1.972 & 0.9738 \tabularnewline
3 & -0.031304 & -0.2675 & 0.605065 \tabularnewline
4 & 0.045181 & 0.386 & 0.350299 \tabularnewline
5 & 0.057913 & 0.4948 & 0.311111 \tabularnewline
6 & -0.14447 & -1.2343 & 0.889484 \tabularnewline
7 & -0.122781 & -1.049 & 0.85119 \tabularnewline
8 & 0.271108 & 2.3163 & 0.011675 \tabularnewline
9 & -0.035663 & -0.3047 & 0.619272 \tabularnewline
10 & -0.268508 & -2.2941 & 0.987669 \tabularnewline
11 & -0.141061 & -1.2052 & 0.883995 \tabularnewline
12 & 0.242803 & 2.0745 & 0.020779 \tabularnewline
13 & 0.065727 & 0.5616 & 0.288065 \tabularnewline
14 & -0.224695 & -1.9198 & 0.970604 \tabularnewline
15 & -0.239264 & -2.0443 & 0.977733 \tabularnewline
16 & 0.145486 & 1.243 & 0.108917 \tabularnewline
17 & 0.079574 & 0.6799 & 0.249365 \tabularnewline
18 & -0.124432 & -1.0632 & 0.854391 \tabularnewline
19 & -0.083701 & -0.7151 & 0.761599 \tabularnewline
20 & 0.155943 & 1.3324 & 0.09344 \tabularnewline
21 & 0.105519 & 0.9016 & 0.185128 \tabularnewline
22 & -0.014332 & -0.1225 & 0.548561 \tabularnewline
23 & -0.075568 & -0.6457 & 0.739735 \tabularnewline
24 & 0.219602 & 1.8763 & 0.032307 \tabularnewline
25 & 0.05488 & 0.4689 & 0.320271 \tabularnewline
26 & 0.000593 & 0.0051 & 0.497987 \tabularnewline
27 & -0.113835 & -0.9726 & 0.83302 \tabularnewline
28 & -0.011726 & -0.1002 & 0.539764 \tabularnewline
29 & 0.103603 & 0.8852 & 0.189481 \tabularnewline
30 & -0.130209 & -1.1125 & 0.865215 \tabularnewline
31 & -0.146602 & -1.2526 & 0.89282 \tabularnewline
32 & 0.055148 & 0.4712 & 0.319457 \tabularnewline
33 & 0.02391 & 0.2043 & 0.419348 \tabularnewline
34 & 0.018376 & 0.157 & 0.437838 \tabularnewline
35 & -0.033664 & -0.2876 & 0.612774 \tabularnewline
36 & 0.01229 & 0.105 & 0.458328 \tabularnewline
37 & -0.025669 & -0.2193 & 0.586493 \tabularnewline
38 & -0.084277 & -0.7201 & 0.763108 \tabularnewline
39 & -0.111573 & -0.9533 & 0.828203 \tabularnewline
40 & 0.051344 & 0.4387 & 0.331094 \tabularnewline
41 & 0.05009 & 0.428 & 0.334967 \tabularnewline
42 & 0.029772 & 0.2544 & 0.399962 \tabularnewline
43 & -0.057035 & -0.4873 & 0.686249 \tabularnewline
44 & 0.006771 & 0.0578 & 0.477014 \tabularnewline
45 & 0.02604 & 0.2225 & 0.412277 \tabularnewline
46 & 0.002835 & 0.0242 & 0.49037 \tabularnewline
47 & -0.002762 & -0.0236 & 0.509382 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4733&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]8.544[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.033423[/C][C]0.2856[/C][C]0.388011[/C][/ROW]
[ROW][C]2[/C][C]-0.230803[/C][C]-1.972[/C][C]0.9738[/C][/ROW]
[ROW][C]3[/C][C]-0.031304[/C][C]-0.2675[/C][C]0.605065[/C][/ROW]
[ROW][C]4[/C][C]0.045181[/C][C]0.386[/C][C]0.350299[/C][/ROW]
[ROW][C]5[/C][C]0.057913[/C][C]0.4948[/C][C]0.311111[/C][/ROW]
[ROW][C]6[/C][C]-0.14447[/C][C]-1.2343[/C][C]0.889484[/C][/ROW]
[ROW][C]7[/C][C]-0.122781[/C][C]-1.049[/C][C]0.85119[/C][/ROW]
[ROW][C]8[/C][C]0.271108[/C][C]2.3163[/C][C]0.011675[/C][/ROW]
[ROW][C]9[/C][C]-0.035663[/C][C]-0.3047[/C][C]0.619272[/C][/ROW]
[ROW][C]10[/C][C]-0.268508[/C][C]-2.2941[/C][C]0.987669[/C][/ROW]
[ROW][C]11[/C][C]-0.141061[/C][C]-1.2052[/C][C]0.883995[/C][/ROW]
[ROW][C]12[/C][C]0.242803[/C][C]2.0745[/C][C]0.020779[/C][/ROW]
[ROW][C]13[/C][C]0.065727[/C][C]0.5616[/C][C]0.288065[/C][/ROW]
[ROW][C]14[/C][C]-0.224695[/C][C]-1.9198[/C][C]0.970604[/C][/ROW]
[ROW][C]15[/C][C]-0.239264[/C][C]-2.0443[/C][C]0.977733[/C][/ROW]
[ROW][C]16[/C][C]0.145486[/C][C]1.243[/C][C]0.108917[/C][/ROW]
[ROW][C]17[/C][C]0.079574[/C][C]0.6799[/C][C]0.249365[/C][/ROW]
[ROW][C]18[/C][C]-0.124432[/C][C]-1.0632[/C][C]0.854391[/C][/ROW]
[ROW][C]19[/C][C]-0.083701[/C][C]-0.7151[/C][C]0.761599[/C][/ROW]
[ROW][C]20[/C][C]0.155943[/C][C]1.3324[/C][C]0.09344[/C][/ROW]
[ROW][C]21[/C][C]0.105519[/C][C]0.9016[/C][C]0.185128[/C][/ROW]
[ROW][C]22[/C][C]-0.014332[/C][C]-0.1225[/C][C]0.548561[/C][/ROW]
[ROW][C]23[/C][C]-0.075568[/C][C]-0.6457[/C][C]0.739735[/C][/ROW]
[ROW][C]24[/C][C]0.219602[/C][C]1.8763[/C][C]0.032307[/C][/ROW]
[ROW][C]25[/C][C]0.05488[/C][C]0.4689[/C][C]0.320271[/C][/ROW]
[ROW][C]26[/C][C]0.000593[/C][C]0.0051[/C][C]0.497987[/C][/ROW]
[ROW][C]27[/C][C]-0.113835[/C][C]-0.9726[/C][C]0.83302[/C][/ROW]
[ROW][C]28[/C][C]-0.011726[/C][C]-0.1002[/C][C]0.539764[/C][/ROW]
[ROW][C]29[/C][C]0.103603[/C][C]0.8852[/C][C]0.189481[/C][/ROW]
[ROW][C]30[/C][C]-0.130209[/C][C]-1.1125[/C][C]0.865215[/C][/ROW]
[ROW][C]31[/C][C]-0.146602[/C][C]-1.2526[/C][C]0.89282[/C][/ROW]
[ROW][C]32[/C][C]0.055148[/C][C]0.4712[/C][C]0.319457[/C][/ROW]
[ROW][C]33[/C][C]0.02391[/C][C]0.2043[/C][C]0.419348[/C][/ROW]
[ROW][C]34[/C][C]0.018376[/C][C]0.157[/C][C]0.437838[/C][/ROW]
[ROW][C]35[/C][C]-0.033664[/C][C]-0.2876[/C][C]0.612774[/C][/ROW]
[ROW][C]36[/C][C]0.01229[/C][C]0.105[/C][C]0.458328[/C][/ROW]
[ROW][C]37[/C][C]-0.025669[/C][C]-0.2193[/C][C]0.586493[/C][/ROW]
[ROW][C]38[/C][C]-0.084277[/C][C]-0.7201[/C][C]0.763108[/C][/ROW]
[ROW][C]39[/C][C]-0.111573[/C][C]-0.9533[/C][C]0.828203[/C][/ROW]
[ROW][C]40[/C][C]0.051344[/C][C]0.4387[/C][C]0.331094[/C][/ROW]
[ROW][C]41[/C][C]0.05009[/C][C]0.428[/C][C]0.334967[/C][/ROW]
[ROW][C]42[/C][C]0.029772[/C][C]0.2544[/C][C]0.399962[/C][/ROW]
[ROW][C]43[/C][C]-0.057035[/C][C]-0.4873[/C][C]0.686249[/C][/ROW]
[ROW][C]44[/C][C]0.006771[/C][C]0.0578[/C][C]0.477014[/C][/ROW]
[ROW][C]45[/C][C]0.02604[/C][C]0.2225[/C][C]0.412277[/C][/ROW]
[ROW][C]46[/C][C]0.002835[/C][C]0.0242[/C][C]0.49037[/C][/ROW]
[ROW][C]47[/C][C]-0.002762[/C][C]-0.0236[/C][C]0.509382[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4733&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4733&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
018.5440
10.0334230.28560.388011
2-0.230803-1.9720.9738
3-0.031304-0.26750.605065
40.0451810.3860.350299
50.0579130.49480.311111
6-0.14447-1.23430.889484
7-0.122781-1.0490.85119
80.2711082.31630.011675
9-0.035663-0.30470.619272
10-0.268508-2.29410.987669
11-0.141061-1.20520.883995
120.2428032.07450.020779
130.0657270.56160.288065
14-0.224695-1.91980.970604
15-0.239264-2.04430.977733
160.1454861.2430.108917
170.0795740.67990.249365
18-0.124432-1.06320.854391
19-0.083701-0.71510.761599
200.1559431.33240.09344
210.1055190.90160.185128
22-0.014332-0.12250.548561
23-0.075568-0.64570.739735
240.2196021.87630.032307
250.054880.46890.320271
260.0005930.00510.497987
27-0.113835-0.97260.83302
28-0.011726-0.10020.539764
290.1036030.88520.189481
30-0.130209-1.11250.865215
31-0.146602-1.25260.89282
320.0551480.47120.319457
330.023910.20430.419348
340.0183760.1570.437838
35-0.033664-0.28760.612774
360.012290.1050.458328
37-0.025669-0.21930.586493
38-0.084277-0.72010.763108
39-0.111573-0.95330.828203
400.0513440.43870.331094
410.050090.4280.334967
420.0297720.25440.399962
43-0.057035-0.48730.686249
440.0067710.05780.477014
450.026040.22250.412277
460.0028350.02420.49037
47-0.002762-0.02360.509382







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0334230.28560.388011
1-0.23218-1.98370.974477
2-0.014855-0.12690.550325
3-0.006973-0.05960.523671
40.0484540.4140.340048
5-0.148444-1.26830.89564
6-0.093792-0.80140.787238
70.2355152.01220.023942
8-0.127355-1.08810.85994
9-0.186175-1.59070.941998
10-0.145697-1.24480.891414
110.2048431.75020.042145
12-0.087068-0.74390.770341
13-0.164064-1.40180.917389
14-0.208404-1.78060.960431
150.041450.35410.362124
16-0.07954-0.67960.750544
17-0.072213-0.6170.730418
18-0.026681-0.2280.589844
19-0.027611-0.23590.592917
20-0.036796-0.31440.622938
210.0932250.79650.214157
220.0833020.71170.23945
230.07790.66560.253891
24-0.139278-1.190.881047
250.1815251.55090.06262
260.0080210.06850.472776
27-0.101091-0.86370.804716
28-0.041166-0.35170.63697
29-0.114422-0.97760.834255
30-0.041613-0.35550.638395
31-0.117035-0.99990.83968
320.039750.33960.367556
33-0.018898-0.16150.563912
340.0587630.50210.308563
35-0.009255-0.07910.531405
36-0.023336-0.19940.578741
37-0.073475-0.62780.733945
38-0.078408-0.66990.747487
390.0217940.18620.4264
40-0.048956-0.41830.661515
41-0.00401-0.03430.51362
42-0.129033-1.10250.863057
43-0.029888-0.25540.60042
44-0.090516-0.77340.7791
45-0.096318-0.82290.79339
46-0.040896-0.34940.636108
470.0123070.10510.458273

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.033423 & 0.2856 & 0.388011 \tabularnewline
1 & -0.23218 & -1.9837 & 0.974477 \tabularnewline
2 & -0.014855 & -0.1269 & 0.550325 \tabularnewline
3 & -0.006973 & -0.0596 & 0.523671 \tabularnewline
4 & 0.048454 & 0.414 & 0.340048 \tabularnewline
5 & -0.148444 & -1.2683 & 0.89564 \tabularnewline
6 & -0.093792 & -0.8014 & 0.787238 \tabularnewline
7 & 0.235515 & 2.0122 & 0.023942 \tabularnewline
8 & -0.127355 & -1.0881 & 0.85994 \tabularnewline
9 & -0.186175 & -1.5907 & 0.941998 \tabularnewline
10 & -0.145697 & -1.2448 & 0.891414 \tabularnewline
11 & 0.204843 & 1.7502 & 0.042145 \tabularnewline
12 & -0.087068 & -0.7439 & 0.770341 \tabularnewline
13 & -0.164064 & -1.4018 & 0.917389 \tabularnewline
14 & -0.208404 & -1.7806 & 0.960431 \tabularnewline
15 & 0.04145 & 0.3541 & 0.362124 \tabularnewline
16 & -0.07954 & -0.6796 & 0.750544 \tabularnewline
17 & -0.072213 & -0.617 & 0.730418 \tabularnewline
18 & -0.026681 & -0.228 & 0.589844 \tabularnewline
19 & -0.027611 & -0.2359 & 0.592917 \tabularnewline
20 & -0.036796 & -0.3144 & 0.622938 \tabularnewline
21 & 0.093225 & 0.7965 & 0.214157 \tabularnewline
22 & 0.083302 & 0.7117 & 0.23945 \tabularnewline
23 & 0.0779 & 0.6656 & 0.253891 \tabularnewline
24 & -0.139278 & -1.19 & 0.881047 \tabularnewline
25 & 0.181525 & 1.5509 & 0.06262 \tabularnewline
26 & 0.008021 & 0.0685 & 0.472776 \tabularnewline
27 & -0.101091 & -0.8637 & 0.804716 \tabularnewline
28 & -0.041166 & -0.3517 & 0.63697 \tabularnewline
29 & -0.114422 & -0.9776 & 0.834255 \tabularnewline
30 & -0.041613 & -0.3555 & 0.638395 \tabularnewline
31 & -0.117035 & -0.9999 & 0.83968 \tabularnewline
32 & 0.03975 & 0.3396 & 0.367556 \tabularnewline
33 & -0.018898 & -0.1615 & 0.563912 \tabularnewline
34 & 0.058763 & 0.5021 & 0.308563 \tabularnewline
35 & -0.009255 & -0.0791 & 0.531405 \tabularnewline
36 & -0.023336 & -0.1994 & 0.578741 \tabularnewline
37 & -0.073475 & -0.6278 & 0.733945 \tabularnewline
38 & -0.078408 & -0.6699 & 0.747487 \tabularnewline
39 & 0.021794 & 0.1862 & 0.4264 \tabularnewline
40 & -0.048956 & -0.4183 & 0.661515 \tabularnewline
41 & -0.00401 & -0.0343 & 0.51362 \tabularnewline
42 & -0.129033 & -1.1025 & 0.863057 \tabularnewline
43 & -0.029888 & -0.2554 & 0.60042 \tabularnewline
44 & -0.090516 & -0.7734 & 0.7791 \tabularnewline
45 & -0.096318 & -0.8229 & 0.79339 \tabularnewline
46 & -0.040896 & -0.3494 & 0.636108 \tabularnewline
47 & 0.012307 & 0.1051 & 0.458273 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4733&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]0.033423[/C][C]0.2856[/C][C]0.388011[/C][/ROW]
[ROW][C]1[/C][C]-0.23218[/C][C]-1.9837[/C][C]0.974477[/C][/ROW]
[ROW][C]2[/C][C]-0.014855[/C][C]-0.1269[/C][C]0.550325[/C][/ROW]
[ROW][C]3[/C][C]-0.006973[/C][C]-0.0596[/C][C]0.523671[/C][/ROW]
[ROW][C]4[/C][C]0.048454[/C][C]0.414[/C][C]0.340048[/C][/ROW]
[ROW][C]5[/C][C]-0.148444[/C][C]-1.2683[/C][C]0.89564[/C][/ROW]
[ROW][C]6[/C][C]-0.093792[/C][C]-0.8014[/C][C]0.787238[/C][/ROW]
[ROW][C]7[/C][C]0.235515[/C][C]2.0122[/C][C]0.023942[/C][/ROW]
[ROW][C]8[/C][C]-0.127355[/C][C]-1.0881[/C][C]0.85994[/C][/ROW]
[ROW][C]9[/C][C]-0.186175[/C][C]-1.5907[/C][C]0.941998[/C][/ROW]
[ROW][C]10[/C][C]-0.145697[/C][C]-1.2448[/C][C]0.891414[/C][/ROW]
[ROW][C]11[/C][C]0.204843[/C][C]1.7502[/C][C]0.042145[/C][/ROW]
[ROW][C]12[/C][C]-0.087068[/C][C]-0.7439[/C][C]0.770341[/C][/ROW]
[ROW][C]13[/C][C]-0.164064[/C][C]-1.4018[/C][C]0.917389[/C][/ROW]
[ROW][C]14[/C][C]-0.208404[/C][C]-1.7806[/C][C]0.960431[/C][/ROW]
[ROW][C]15[/C][C]0.04145[/C][C]0.3541[/C][C]0.362124[/C][/ROW]
[ROW][C]16[/C][C]-0.07954[/C][C]-0.6796[/C][C]0.750544[/C][/ROW]
[ROW][C]17[/C][C]-0.072213[/C][C]-0.617[/C][C]0.730418[/C][/ROW]
[ROW][C]18[/C][C]-0.026681[/C][C]-0.228[/C][C]0.589844[/C][/ROW]
[ROW][C]19[/C][C]-0.027611[/C][C]-0.2359[/C][C]0.592917[/C][/ROW]
[ROW][C]20[/C][C]-0.036796[/C][C]-0.3144[/C][C]0.622938[/C][/ROW]
[ROW][C]21[/C][C]0.093225[/C][C]0.7965[/C][C]0.214157[/C][/ROW]
[ROW][C]22[/C][C]0.083302[/C][C]0.7117[/C][C]0.23945[/C][/ROW]
[ROW][C]23[/C][C]0.0779[/C][C]0.6656[/C][C]0.253891[/C][/ROW]
[ROW][C]24[/C][C]-0.139278[/C][C]-1.19[/C][C]0.881047[/C][/ROW]
[ROW][C]25[/C][C]0.181525[/C][C]1.5509[/C][C]0.06262[/C][/ROW]
[ROW][C]26[/C][C]0.008021[/C][C]0.0685[/C][C]0.472776[/C][/ROW]
[ROW][C]27[/C][C]-0.101091[/C][C]-0.8637[/C][C]0.804716[/C][/ROW]
[ROW][C]28[/C][C]-0.041166[/C][C]-0.3517[/C][C]0.63697[/C][/ROW]
[ROW][C]29[/C][C]-0.114422[/C][C]-0.9776[/C][C]0.834255[/C][/ROW]
[ROW][C]30[/C][C]-0.041613[/C][C]-0.3555[/C][C]0.638395[/C][/ROW]
[ROW][C]31[/C][C]-0.117035[/C][C]-0.9999[/C][C]0.83968[/C][/ROW]
[ROW][C]32[/C][C]0.03975[/C][C]0.3396[/C][C]0.367556[/C][/ROW]
[ROW][C]33[/C][C]-0.018898[/C][C]-0.1615[/C][C]0.563912[/C][/ROW]
[ROW][C]34[/C][C]0.058763[/C][C]0.5021[/C][C]0.308563[/C][/ROW]
[ROW][C]35[/C][C]-0.009255[/C][C]-0.0791[/C][C]0.531405[/C][/ROW]
[ROW][C]36[/C][C]-0.023336[/C][C]-0.1994[/C][C]0.578741[/C][/ROW]
[ROW][C]37[/C][C]-0.073475[/C][C]-0.6278[/C][C]0.733945[/C][/ROW]
[ROW][C]38[/C][C]-0.078408[/C][C]-0.6699[/C][C]0.747487[/C][/ROW]
[ROW][C]39[/C][C]0.021794[/C][C]0.1862[/C][C]0.4264[/C][/ROW]
[ROW][C]40[/C][C]-0.048956[/C][C]-0.4183[/C][C]0.661515[/C][/ROW]
[ROW][C]41[/C][C]-0.00401[/C][C]-0.0343[/C][C]0.51362[/C][/ROW]
[ROW][C]42[/C][C]-0.129033[/C][C]-1.1025[/C][C]0.863057[/C][/ROW]
[ROW][C]43[/C][C]-0.029888[/C][C]-0.2554[/C][C]0.60042[/C][/ROW]
[ROW][C]44[/C][C]-0.090516[/C][C]-0.7734[/C][C]0.7791[/C][/ROW]
[ROW][C]45[/C][C]-0.096318[/C][C]-0.8229[/C][C]0.79339[/C][/ROW]
[ROW][C]46[/C][C]-0.040896[/C][C]-0.3494[/C][C]0.636108[/C][/ROW]
[ROW][C]47[/C][C]0.012307[/C][C]0.1051[/C][C]0.458273[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4733&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4733&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
00.0334230.28560.388011
1-0.23218-1.98370.974477
2-0.014855-0.12690.550325
3-0.006973-0.05960.523671
40.0484540.4140.340048
5-0.148444-1.26830.89564
6-0.093792-0.80140.787238
70.2355152.01220.023942
8-0.127355-1.08810.85994
9-0.186175-1.59070.941998
10-0.145697-1.24480.891414
110.2048431.75020.042145
12-0.087068-0.74390.770341
13-0.164064-1.40180.917389
14-0.208404-1.78060.960431
150.041450.35410.362124
16-0.07954-0.67960.750544
17-0.072213-0.6170.730418
18-0.026681-0.2280.589844
19-0.027611-0.23590.592917
20-0.036796-0.31440.622938
210.0932250.79650.214157
220.0833020.71170.23945
230.07790.66560.253891
24-0.139278-1.190.881047
250.1815251.55090.06262
260.0080210.06850.472776
27-0.101091-0.86370.804716
28-0.041166-0.35170.63697
29-0.114422-0.97760.834255
30-0.041613-0.35550.638395
31-0.117035-0.99990.83968
320.039750.33960.367556
33-0.018898-0.16150.563912
340.0587630.50210.308563
35-0.009255-0.07910.531405
36-0.023336-0.19940.578741
37-0.073475-0.62780.733945
38-0.078408-0.66990.747487
390.0217940.18620.4264
40-0.048956-0.41830.661515
41-0.00401-0.03430.51362
42-0.129033-1.10250.863057
43-0.029888-0.25540.60042
44-0.090516-0.77340.7791
45-0.096318-0.82290.79339
46-0.040896-0.34940.636108
470.0123070.10510.458273



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 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')