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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, 29 Nov 2007 08:47:46 -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/Nov/29/t11963506549fq8isb4oqhzt4c.htm/, Retrieved Fri, 03 May 2024 09:57:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7522, Retrieved Fri, 03 May 2024 09:57:11 +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] [Q2_T1] [2007-11-29 15:47:46] [031886dbad66702fa31ca1c4d15fdd0f] [Current]
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Dataseries X:
5,22
5,09
4,77
4,54
4,56
4,39
4,73
4,44
4,3
4,24
4,01
3,5
3,23
3,28
3,49
3,7
3,63
3,95
3,73
3,87
3,66
3,49
3,4
3,32
3,11
3,06
2,68
2,55
2,34
2,34
2,39
2,21
2,09
2,14
2,31
2,14
2,45
2,52
2,3
2,25
2,06
1,99
2,25
2,26
2,36
2,3
2,19
2,31
2,21
2,21
2,26
2,18
2,21
2,33
2,12
2,08
1,97
2,09
2,11
2,24
2,45
2,68
2,73
2,76
2,83
3,16
3,22
3,22
3,34
3,35
3,42
3,58
3,71
3,68
3,83
3,94
3,88
4,03
4,15
4,32
4,4
4,37
4,14
4,11
4,16




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=7522&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=7522&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7522&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
019.16520
10.1860141.70480.045959
20.2238222.05140.021674
30.1011380.92690.178304
40.0081960.07510.47015
50.0442920.40590.342907
60.104430.95710.170628
70.0249140.22830.409967
80.1910681.75120.041784
90.1265111.15950.12477
100.055160.50560.307248
110.0840050.76990.221755
12-0.102219-0.93690.82424
130.1451451.33030.093514
140.0459980.42160.337206
150.1176261.07810.142046
160.0640320.58690.279434
170.1502461.3770.086081
180.0206310.18910.425239
190.2038541.86840.0326
200.0406110.37220.355339
210.0256830.23540.40724
22-0.012186-0.11170.544329
230.0482930.44260.329591
240.039230.35960.360042
25-0.01666-0.15270.560497
26-0.055578-0.50940.69409
270.0733850.67260.251529
280.179011.64070.052304
29-0.007758-0.07110.528256
300.1115131.0220.154851
31-0.082832-0.75920.77506
32-0.084156-0.77130.778655
33-0.07714-0.7070.759239
34-0.137022-1.25580.893669
35-0.058412-0.53540.70309
360.0587260.53820.295921
37-0.103556-0.94910.827355
380.0466580.42760.33501
39-0.193271-1.77140.959936
40-0.17046-1.56230.939011
41-0.064506-0.59120.722014
42-0.057488-0.52690.70017
430.0411160.37680.353624
440.0427770.39210.348003
45-0.049021-0.44930.672809
46-0.041406-0.37950.647359
47-0.018508-0.16960.567144

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.1652 & 0 \tabularnewline
1 & 0.186014 & 1.7048 & 0.045959 \tabularnewline
2 & 0.223822 & 2.0514 & 0.021674 \tabularnewline
3 & 0.101138 & 0.9269 & 0.178304 \tabularnewline
4 & 0.008196 & 0.0751 & 0.47015 \tabularnewline
5 & 0.044292 & 0.4059 & 0.342907 \tabularnewline
6 & 0.10443 & 0.9571 & 0.170628 \tabularnewline
7 & 0.024914 & 0.2283 & 0.409967 \tabularnewline
8 & 0.191068 & 1.7512 & 0.041784 \tabularnewline
9 & 0.126511 & 1.1595 & 0.12477 \tabularnewline
10 & 0.05516 & 0.5056 & 0.307248 \tabularnewline
11 & 0.084005 & 0.7699 & 0.221755 \tabularnewline
12 & -0.102219 & -0.9369 & 0.82424 \tabularnewline
13 & 0.145145 & 1.3303 & 0.093514 \tabularnewline
14 & 0.045998 & 0.4216 & 0.337206 \tabularnewline
15 & 0.117626 & 1.0781 & 0.142046 \tabularnewline
16 & 0.064032 & 0.5869 & 0.279434 \tabularnewline
17 & 0.150246 & 1.377 & 0.086081 \tabularnewline
18 & 0.020631 & 0.1891 & 0.425239 \tabularnewline
19 & 0.203854 & 1.8684 & 0.0326 \tabularnewline
20 & 0.040611 & 0.3722 & 0.355339 \tabularnewline
21 & 0.025683 & 0.2354 & 0.40724 \tabularnewline
22 & -0.012186 & -0.1117 & 0.544329 \tabularnewline
23 & 0.048293 & 0.4426 & 0.329591 \tabularnewline
24 & 0.03923 & 0.3596 & 0.360042 \tabularnewline
25 & -0.01666 & -0.1527 & 0.560497 \tabularnewline
26 & -0.055578 & -0.5094 & 0.69409 \tabularnewline
27 & 0.073385 & 0.6726 & 0.251529 \tabularnewline
28 & 0.17901 & 1.6407 & 0.052304 \tabularnewline
29 & -0.007758 & -0.0711 & 0.528256 \tabularnewline
30 & 0.111513 & 1.022 & 0.154851 \tabularnewline
31 & -0.082832 & -0.7592 & 0.77506 \tabularnewline
32 & -0.084156 & -0.7713 & 0.778655 \tabularnewline
33 & -0.07714 & -0.707 & 0.759239 \tabularnewline
34 & -0.137022 & -1.2558 & 0.893669 \tabularnewline
35 & -0.058412 & -0.5354 & 0.70309 \tabularnewline
36 & 0.058726 & 0.5382 & 0.295921 \tabularnewline
37 & -0.103556 & -0.9491 & 0.827355 \tabularnewline
38 & 0.046658 & 0.4276 & 0.33501 \tabularnewline
39 & -0.193271 & -1.7714 & 0.959936 \tabularnewline
40 & -0.17046 & -1.5623 & 0.939011 \tabularnewline
41 & -0.064506 & -0.5912 & 0.722014 \tabularnewline
42 & -0.057488 & -0.5269 & 0.70017 \tabularnewline
43 & 0.041116 & 0.3768 & 0.353624 \tabularnewline
44 & 0.042777 & 0.3921 & 0.348003 \tabularnewline
45 & -0.049021 & -0.4493 & 0.672809 \tabularnewline
46 & -0.041406 & -0.3795 & 0.647359 \tabularnewline
47 & -0.018508 & -0.1696 & 0.567144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7522&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]9.1652[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.186014[/C][C]1.7048[/C][C]0.045959[/C][/ROW]
[ROW][C]2[/C][C]0.223822[/C][C]2.0514[/C][C]0.021674[/C][/ROW]
[ROW][C]3[/C][C]0.101138[/C][C]0.9269[/C][C]0.178304[/C][/ROW]
[ROW][C]4[/C][C]0.008196[/C][C]0.0751[/C][C]0.47015[/C][/ROW]
[ROW][C]5[/C][C]0.044292[/C][C]0.4059[/C][C]0.342907[/C][/ROW]
[ROW][C]6[/C][C]0.10443[/C][C]0.9571[/C][C]0.170628[/C][/ROW]
[ROW][C]7[/C][C]0.024914[/C][C]0.2283[/C][C]0.409967[/C][/ROW]
[ROW][C]8[/C][C]0.191068[/C][C]1.7512[/C][C]0.041784[/C][/ROW]
[ROW][C]9[/C][C]0.126511[/C][C]1.1595[/C][C]0.12477[/C][/ROW]
[ROW][C]10[/C][C]0.05516[/C][C]0.5056[/C][C]0.307248[/C][/ROW]
[ROW][C]11[/C][C]0.084005[/C][C]0.7699[/C][C]0.221755[/C][/ROW]
[ROW][C]12[/C][C]-0.102219[/C][C]-0.9369[/C][C]0.82424[/C][/ROW]
[ROW][C]13[/C][C]0.145145[/C][C]1.3303[/C][C]0.093514[/C][/ROW]
[ROW][C]14[/C][C]0.045998[/C][C]0.4216[/C][C]0.337206[/C][/ROW]
[ROW][C]15[/C][C]0.117626[/C][C]1.0781[/C][C]0.142046[/C][/ROW]
[ROW][C]16[/C][C]0.064032[/C][C]0.5869[/C][C]0.279434[/C][/ROW]
[ROW][C]17[/C][C]0.150246[/C][C]1.377[/C][C]0.086081[/C][/ROW]
[ROW][C]18[/C][C]0.020631[/C][C]0.1891[/C][C]0.425239[/C][/ROW]
[ROW][C]19[/C][C]0.203854[/C][C]1.8684[/C][C]0.0326[/C][/ROW]
[ROW][C]20[/C][C]0.040611[/C][C]0.3722[/C][C]0.355339[/C][/ROW]
[ROW][C]21[/C][C]0.025683[/C][C]0.2354[/C][C]0.40724[/C][/ROW]
[ROW][C]22[/C][C]-0.012186[/C][C]-0.1117[/C][C]0.544329[/C][/ROW]
[ROW][C]23[/C][C]0.048293[/C][C]0.4426[/C][C]0.329591[/C][/ROW]
[ROW][C]24[/C][C]0.03923[/C][C]0.3596[/C][C]0.360042[/C][/ROW]
[ROW][C]25[/C][C]-0.01666[/C][C]-0.1527[/C][C]0.560497[/C][/ROW]
[ROW][C]26[/C][C]-0.055578[/C][C]-0.5094[/C][C]0.69409[/C][/ROW]
[ROW][C]27[/C][C]0.073385[/C][C]0.6726[/C][C]0.251529[/C][/ROW]
[ROW][C]28[/C][C]0.17901[/C][C]1.6407[/C][C]0.052304[/C][/ROW]
[ROW][C]29[/C][C]-0.007758[/C][C]-0.0711[/C][C]0.528256[/C][/ROW]
[ROW][C]30[/C][C]0.111513[/C][C]1.022[/C][C]0.154851[/C][/ROW]
[ROW][C]31[/C][C]-0.082832[/C][C]-0.7592[/C][C]0.77506[/C][/ROW]
[ROW][C]32[/C][C]-0.084156[/C][C]-0.7713[/C][C]0.778655[/C][/ROW]
[ROW][C]33[/C][C]-0.07714[/C][C]-0.707[/C][C]0.759239[/C][/ROW]
[ROW][C]34[/C][C]-0.137022[/C][C]-1.2558[/C][C]0.893669[/C][/ROW]
[ROW][C]35[/C][C]-0.058412[/C][C]-0.5354[/C][C]0.70309[/C][/ROW]
[ROW][C]36[/C][C]0.058726[/C][C]0.5382[/C][C]0.295921[/C][/ROW]
[ROW][C]37[/C][C]-0.103556[/C][C]-0.9491[/C][C]0.827355[/C][/ROW]
[ROW][C]38[/C][C]0.046658[/C][C]0.4276[/C][C]0.33501[/C][/ROW]
[ROW][C]39[/C][C]-0.193271[/C][C]-1.7714[/C][C]0.959936[/C][/ROW]
[ROW][C]40[/C][C]-0.17046[/C][C]-1.5623[/C][C]0.939011[/C][/ROW]
[ROW][C]41[/C][C]-0.064506[/C][C]-0.5912[/C][C]0.722014[/C][/ROW]
[ROW][C]42[/C][C]-0.057488[/C][C]-0.5269[/C][C]0.70017[/C][/ROW]
[ROW][C]43[/C][C]0.041116[/C][C]0.3768[/C][C]0.353624[/C][/ROW]
[ROW][C]44[/C][C]0.042777[/C][C]0.3921[/C][C]0.348003[/C][/ROW]
[ROW][C]45[/C][C]-0.049021[/C][C]-0.4493[/C][C]0.672809[/C][/ROW]
[ROW][C]46[/C][C]-0.041406[/C][C]-0.3795[/C][C]0.647359[/C][/ROW]
[ROW][C]47[/C][C]-0.018508[/C][C]-0.1696[/C][C]0.567144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7522&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7522&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
019.16520
10.1860141.70480.045959
20.2238222.05140.021674
30.1011380.92690.178304
40.0081960.07510.47015
50.0442920.40590.342907
60.104430.95710.170628
70.0249140.22830.409967
80.1910681.75120.041784
90.1265111.15950.12477
100.055160.50560.307248
110.0840050.76990.221755
12-0.102219-0.93690.82424
130.1451451.33030.093514
140.0459980.42160.337206
150.1176261.07810.142046
160.0640320.58690.279434
170.1502461.3770.086081
180.0206310.18910.425239
190.2038541.86840.0326
200.0406110.37220.355339
210.0256830.23540.40724
22-0.012186-0.11170.544329
230.0482930.44260.329591
240.039230.35960.360042
25-0.01666-0.15270.560497
26-0.055578-0.50940.69409
270.0733850.67260.251529
280.179011.64070.052304
29-0.007758-0.07110.528256
300.1115131.0220.154851
31-0.082832-0.75920.77506
32-0.084156-0.77130.778655
33-0.07714-0.7070.759239
34-0.137022-1.25580.893669
35-0.058412-0.53540.70309
360.0587260.53820.295921
37-0.103556-0.94910.827355
380.0466580.42760.33501
39-0.193271-1.77140.959936
40-0.17046-1.56230.939011
41-0.064506-0.59120.722014
42-0.057488-0.52690.70017
430.0411160.37680.353624
440.0427770.39210.348003
45-0.049021-0.44930.672809
46-0.041406-0.37950.647359
47-0.018508-0.16960.567144







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1860141.70480.045959
10.1960031.79640.038013
20.0336150.30810.379389
3-0.059596-0.54620.706814
40.0262920.2410.405083
50.1103261.01120.157422
6-0.015029-0.13770.554612
70.1549181.41990.079676
80.0731080.670.252333
9-0.038407-0.3520.637142
100.0210620.1930.423697
11-0.139757-1.28090.898122
120.1860381.70510.045939
130.0132660.12160.45176
140.0651820.59740.275924
15-0.031858-0.2920.61449
160.0993210.91030.182636
17-0.024225-0.2220.587582
180.1454911.33340.092995
190.0183180.16790.433538
20-0.078248-0.71720.762365
21-0.080726-0.73990.769277
220.0557740.51120.305283
230.0106320.09740.461303
24-0.065276-0.59830.724364
25-0.112931-1.0350.848187
260.1130821.03640.151492
270.1666341.52720.065231
28-0.081539-0.74730.77152
290.0064140.05880.47663
30-0.066138-0.60620.72698
31-0.149698-1.3720.913143
32-0.06649-0.60940.728044
33-0.111721-1.02390.845599
340.0622990.5710.28477
350.0031340.02870.488575
36-0.153456-1.40640.918359
370.0215440.19750.421973
38-0.152895-1.40130.917597
39-0.039226-0.35950.639942
400.0181360.16620.434194
410.0986960.90460.184142
420.0252440.23140.408796
43-0.031769-0.29120.614178
44-0.016707-0.15310.560664
45-0.051258-0.46980.680138
460.0102440.09390.462712
470.0097320.08920.464571

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.186014 & 1.7048 & 0.045959 \tabularnewline
1 & 0.196003 & 1.7964 & 0.038013 \tabularnewline
2 & 0.033615 & 0.3081 & 0.379389 \tabularnewline
3 & -0.059596 & -0.5462 & 0.706814 \tabularnewline
4 & 0.026292 & 0.241 & 0.405083 \tabularnewline
5 & 0.110326 & 1.0112 & 0.157422 \tabularnewline
6 & -0.015029 & -0.1377 & 0.554612 \tabularnewline
7 & 0.154918 & 1.4199 & 0.079676 \tabularnewline
8 & 0.073108 & 0.67 & 0.252333 \tabularnewline
9 & -0.038407 & -0.352 & 0.637142 \tabularnewline
10 & 0.021062 & 0.193 & 0.423697 \tabularnewline
11 & -0.139757 & -1.2809 & 0.898122 \tabularnewline
12 & 0.186038 & 1.7051 & 0.045939 \tabularnewline
13 & 0.013266 & 0.1216 & 0.45176 \tabularnewline
14 & 0.065182 & 0.5974 & 0.275924 \tabularnewline
15 & -0.031858 & -0.292 & 0.61449 \tabularnewline
16 & 0.099321 & 0.9103 & 0.182636 \tabularnewline
17 & -0.024225 & -0.222 & 0.587582 \tabularnewline
18 & 0.145491 & 1.3334 & 0.092995 \tabularnewline
19 & 0.018318 & 0.1679 & 0.433538 \tabularnewline
20 & -0.078248 & -0.7172 & 0.762365 \tabularnewline
21 & -0.080726 & -0.7399 & 0.769277 \tabularnewline
22 & 0.055774 & 0.5112 & 0.305283 \tabularnewline
23 & 0.010632 & 0.0974 & 0.461303 \tabularnewline
24 & -0.065276 & -0.5983 & 0.724364 \tabularnewline
25 & -0.112931 & -1.035 & 0.848187 \tabularnewline
26 & 0.113082 & 1.0364 & 0.151492 \tabularnewline
27 & 0.166634 & 1.5272 & 0.065231 \tabularnewline
28 & -0.081539 & -0.7473 & 0.77152 \tabularnewline
29 & 0.006414 & 0.0588 & 0.47663 \tabularnewline
30 & -0.066138 & -0.6062 & 0.72698 \tabularnewline
31 & -0.149698 & -1.372 & 0.913143 \tabularnewline
32 & -0.06649 & -0.6094 & 0.728044 \tabularnewline
33 & -0.111721 & -1.0239 & 0.845599 \tabularnewline
34 & 0.062299 & 0.571 & 0.28477 \tabularnewline
35 & 0.003134 & 0.0287 & 0.488575 \tabularnewline
36 & -0.153456 & -1.4064 & 0.918359 \tabularnewline
37 & 0.021544 & 0.1975 & 0.421973 \tabularnewline
38 & -0.152895 & -1.4013 & 0.917597 \tabularnewline
39 & -0.039226 & -0.3595 & 0.639942 \tabularnewline
40 & 0.018136 & 0.1662 & 0.434194 \tabularnewline
41 & 0.098696 & 0.9046 & 0.184142 \tabularnewline
42 & 0.025244 & 0.2314 & 0.408796 \tabularnewline
43 & -0.031769 & -0.2912 & 0.614178 \tabularnewline
44 & -0.016707 & -0.1531 & 0.560664 \tabularnewline
45 & -0.051258 & -0.4698 & 0.680138 \tabularnewline
46 & 0.010244 & 0.0939 & 0.462712 \tabularnewline
47 & 0.009732 & 0.0892 & 0.464571 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7522&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]0.186014[/C][C]1.7048[/C][C]0.045959[/C][/ROW]
[ROW][C]1[/C][C]0.196003[/C][C]1.7964[/C][C]0.038013[/C][/ROW]
[ROW][C]2[/C][C]0.033615[/C][C]0.3081[/C][C]0.379389[/C][/ROW]
[ROW][C]3[/C][C]-0.059596[/C][C]-0.5462[/C][C]0.706814[/C][/ROW]
[ROW][C]4[/C][C]0.026292[/C][C]0.241[/C][C]0.405083[/C][/ROW]
[ROW][C]5[/C][C]0.110326[/C][C]1.0112[/C][C]0.157422[/C][/ROW]
[ROW][C]6[/C][C]-0.015029[/C][C]-0.1377[/C][C]0.554612[/C][/ROW]
[ROW][C]7[/C][C]0.154918[/C][C]1.4199[/C][C]0.079676[/C][/ROW]
[ROW][C]8[/C][C]0.073108[/C][C]0.67[/C][C]0.252333[/C][/ROW]
[ROW][C]9[/C][C]-0.038407[/C][C]-0.352[/C][C]0.637142[/C][/ROW]
[ROW][C]10[/C][C]0.021062[/C][C]0.193[/C][C]0.423697[/C][/ROW]
[ROW][C]11[/C][C]-0.139757[/C][C]-1.2809[/C][C]0.898122[/C][/ROW]
[ROW][C]12[/C][C]0.186038[/C][C]1.7051[/C][C]0.045939[/C][/ROW]
[ROW][C]13[/C][C]0.013266[/C][C]0.1216[/C][C]0.45176[/C][/ROW]
[ROW][C]14[/C][C]0.065182[/C][C]0.5974[/C][C]0.275924[/C][/ROW]
[ROW][C]15[/C][C]-0.031858[/C][C]-0.292[/C][C]0.61449[/C][/ROW]
[ROW][C]16[/C][C]0.099321[/C][C]0.9103[/C][C]0.182636[/C][/ROW]
[ROW][C]17[/C][C]-0.024225[/C][C]-0.222[/C][C]0.587582[/C][/ROW]
[ROW][C]18[/C][C]0.145491[/C][C]1.3334[/C][C]0.092995[/C][/ROW]
[ROW][C]19[/C][C]0.018318[/C][C]0.1679[/C][C]0.433538[/C][/ROW]
[ROW][C]20[/C][C]-0.078248[/C][C]-0.7172[/C][C]0.762365[/C][/ROW]
[ROW][C]21[/C][C]-0.080726[/C][C]-0.7399[/C][C]0.769277[/C][/ROW]
[ROW][C]22[/C][C]0.055774[/C][C]0.5112[/C][C]0.305283[/C][/ROW]
[ROW][C]23[/C][C]0.010632[/C][C]0.0974[/C][C]0.461303[/C][/ROW]
[ROW][C]24[/C][C]-0.065276[/C][C]-0.5983[/C][C]0.724364[/C][/ROW]
[ROW][C]25[/C][C]-0.112931[/C][C]-1.035[/C][C]0.848187[/C][/ROW]
[ROW][C]26[/C][C]0.113082[/C][C]1.0364[/C][C]0.151492[/C][/ROW]
[ROW][C]27[/C][C]0.166634[/C][C]1.5272[/C][C]0.065231[/C][/ROW]
[ROW][C]28[/C][C]-0.081539[/C][C]-0.7473[/C][C]0.77152[/C][/ROW]
[ROW][C]29[/C][C]0.006414[/C][C]0.0588[/C][C]0.47663[/C][/ROW]
[ROW][C]30[/C][C]-0.066138[/C][C]-0.6062[/C][C]0.72698[/C][/ROW]
[ROW][C]31[/C][C]-0.149698[/C][C]-1.372[/C][C]0.913143[/C][/ROW]
[ROW][C]32[/C][C]-0.06649[/C][C]-0.6094[/C][C]0.728044[/C][/ROW]
[ROW][C]33[/C][C]-0.111721[/C][C]-1.0239[/C][C]0.845599[/C][/ROW]
[ROW][C]34[/C][C]0.062299[/C][C]0.571[/C][C]0.28477[/C][/ROW]
[ROW][C]35[/C][C]0.003134[/C][C]0.0287[/C][C]0.488575[/C][/ROW]
[ROW][C]36[/C][C]-0.153456[/C][C]-1.4064[/C][C]0.918359[/C][/ROW]
[ROW][C]37[/C][C]0.021544[/C][C]0.1975[/C][C]0.421973[/C][/ROW]
[ROW][C]38[/C][C]-0.152895[/C][C]-1.4013[/C][C]0.917597[/C][/ROW]
[ROW][C]39[/C][C]-0.039226[/C][C]-0.3595[/C][C]0.639942[/C][/ROW]
[ROW][C]40[/C][C]0.018136[/C][C]0.1662[/C][C]0.434194[/C][/ROW]
[ROW][C]41[/C][C]0.098696[/C][C]0.9046[/C][C]0.184142[/C][/ROW]
[ROW][C]42[/C][C]0.025244[/C][C]0.2314[/C][C]0.408796[/C][/ROW]
[ROW][C]43[/C][C]-0.031769[/C][C]-0.2912[/C][C]0.614178[/C][/ROW]
[ROW][C]44[/C][C]-0.016707[/C][C]-0.1531[/C][C]0.560664[/C][/ROW]
[ROW][C]45[/C][C]-0.051258[/C][C]-0.4698[/C][C]0.680138[/C][/ROW]
[ROW][C]46[/C][C]0.010244[/C][C]0.0939[/C][C]0.462712[/C][/ROW]
[ROW][C]47[/C][C]0.009732[/C][C]0.0892[/C][C]0.464571[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7522&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7522&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
00.1860141.70480.045959
10.1960031.79640.038013
20.0336150.30810.379389
3-0.059596-0.54620.706814
40.0262920.2410.405083
50.1103261.01120.157422
6-0.015029-0.13770.554612
70.1549181.41990.079676
80.0731080.670.252333
9-0.038407-0.3520.637142
100.0210620.1930.423697
11-0.139757-1.28090.898122
120.1860381.70510.045939
130.0132660.12160.45176
140.0651820.59740.275924
15-0.031858-0.2920.61449
160.0993210.91030.182636
17-0.024225-0.2220.587582
180.1454911.33340.092995
190.0183180.16790.433538
20-0.078248-0.71720.762365
21-0.080726-0.73990.769277
220.0557740.51120.305283
230.0106320.09740.461303
24-0.065276-0.59830.724364
25-0.112931-1.0350.848187
260.1130821.03640.151492
270.1666341.52720.065231
28-0.081539-0.74730.77152
290.0064140.05880.47663
30-0.066138-0.60620.72698
31-0.149698-1.3720.913143
32-0.06649-0.60940.728044
33-0.111721-1.02390.845599
340.0622990.5710.28477
350.0031340.02870.488575
36-0.153456-1.40640.918359
370.0215440.19750.421973
38-0.152895-1.40130.917597
39-0.039226-0.35950.639942
400.0181360.16620.434194
410.0986960.90460.184142
420.0252440.23140.408796
43-0.031769-0.29120.614178
44-0.016707-0.15310.560664
45-0.051258-0.46980.680138
460.0102440.09390.462712
470.0097320.08920.464571



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')