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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 09 Dec 2008 06:33:39 -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/2008/Dec/09/t122882970366uyqlpt920u0e9.htm/, Retrieved Fri, 17 May 2024 04:10:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31374, Retrieved Fri, 17 May 2024 04:10:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD    [(Partial) Autocorrelation Function] [] [2008-12-09 13:33:39] [86e877ba38171644c8ca01af8044e645] [Current]
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Dataseries X:
75
38
20
6
11
38
54
44
37
39
4
49
45
29
20
9
16
3
56
53
35
49
11
54
47
31
21
14
9
16
61
57
40
42
7
43
56
29
34
14
25
39
53
39
32
40
1
47
39
39
20
7
43
43
21
39
35
38
12
37
34




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31374&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31374&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31374&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1227220.95850.170799
2-0.159202-1.24340.109237
3-0.315882-2.46710.008222
4-0.332105-2.59380.005934
50.1212990.94740.173593
60.137031.07020.144365
70.1417231.10690.136342
8-0.229555-1.79290.038975
9-0.243614-1.90270.030902
10-0.128994-1.00750.158844
110.1744551.36250.08902
120.6141224.79645e-06
130.0731470.57130.284948
14-0.095978-0.74960.228185
15-0.265697-2.07520.021098
16-0.313457-2.44820.008625
170.0756610.59090.278375
180.148661.16110.125068
190.0812520.63460.264031
20-0.167935-1.31160.097282
21-0.150318-1.1740.122475
22-0.054437-0.42520.336107
230.1122470.87670.19205
240.384483.00290.001937
250.0621750.48560.314494
26-0.073217-0.57180.284765
27-0.235004-1.83540.035659
28-0.269728-2.10660.019635
290.0982240.76720.222973
300.1376831.07530.14323
310.0928040.72480.235667
32-0.064072-0.50040.309291
33-0.079672-0.62230.268044
34-0.035003-0.27340.39274
350.0372050.29060.386178
360.2401951.8760.032722
370.0057670.0450.48211
38-0.04863-0.37980.352701
39-0.15647-1.22210.113192
40-0.095441-0.74540.229442
410.1091090.85220.198727
420.0721910.56380.287468
430.033560.26210.39706
440.003720.02910.488458
45-0.054918-0.42890.334746
46-0.075334-0.58840.279227
470.0685070.53510.297277
480.087290.68180.248987
49-0.00484-0.03780.484985
50-0.044743-0.34950.363975
51-0.061391-0.47950.316657
520.0034160.02670.489402
530.0064390.05030.480028
54-0.007598-0.05930.476436
550.0388850.30370.381196
560.0141450.11050.456198
570.001450.01130.495501
58-0.049912-0.38980.349011
590.0106070.08280.467123
600.0029760.02320.490765

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.122722 & 0.9585 & 0.170799 \tabularnewline
2 & -0.159202 & -1.2434 & 0.109237 \tabularnewline
3 & -0.315882 & -2.4671 & 0.008222 \tabularnewline
4 & -0.332105 & -2.5938 & 0.005934 \tabularnewline
5 & 0.121299 & 0.9474 & 0.173593 \tabularnewline
6 & 0.13703 & 1.0702 & 0.144365 \tabularnewline
7 & 0.141723 & 1.1069 & 0.136342 \tabularnewline
8 & -0.229555 & -1.7929 & 0.038975 \tabularnewline
9 & -0.243614 & -1.9027 & 0.030902 \tabularnewline
10 & -0.128994 & -1.0075 & 0.158844 \tabularnewline
11 & 0.174455 & 1.3625 & 0.08902 \tabularnewline
12 & 0.614122 & 4.7964 & 5e-06 \tabularnewline
13 & 0.073147 & 0.5713 & 0.284948 \tabularnewline
14 & -0.095978 & -0.7496 & 0.228185 \tabularnewline
15 & -0.265697 & -2.0752 & 0.021098 \tabularnewline
16 & -0.313457 & -2.4482 & 0.008625 \tabularnewline
17 & 0.075661 & 0.5909 & 0.278375 \tabularnewline
18 & 0.14866 & 1.1611 & 0.125068 \tabularnewline
19 & 0.081252 & 0.6346 & 0.264031 \tabularnewline
20 & -0.167935 & -1.3116 & 0.097282 \tabularnewline
21 & -0.150318 & -1.174 & 0.122475 \tabularnewline
22 & -0.054437 & -0.4252 & 0.336107 \tabularnewline
23 & 0.112247 & 0.8767 & 0.19205 \tabularnewline
24 & 0.38448 & 3.0029 & 0.001937 \tabularnewline
25 & 0.062175 & 0.4856 & 0.314494 \tabularnewline
26 & -0.073217 & -0.5718 & 0.284765 \tabularnewline
27 & -0.235004 & -1.8354 & 0.035659 \tabularnewline
28 & -0.269728 & -2.1066 & 0.019635 \tabularnewline
29 & 0.098224 & 0.7672 & 0.222973 \tabularnewline
30 & 0.137683 & 1.0753 & 0.14323 \tabularnewline
31 & 0.092804 & 0.7248 & 0.235667 \tabularnewline
32 & -0.064072 & -0.5004 & 0.309291 \tabularnewline
33 & -0.079672 & -0.6223 & 0.268044 \tabularnewline
34 & -0.035003 & -0.2734 & 0.39274 \tabularnewline
35 & 0.037205 & 0.2906 & 0.386178 \tabularnewline
36 & 0.240195 & 1.876 & 0.032722 \tabularnewline
37 & 0.005767 & 0.045 & 0.48211 \tabularnewline
38 & -0.04863 & -0.3798 & 0.352701 \tabularnewline
39 & -0.15647 & -1.2221 & 0.113192 \tabularnewline
40 & -0.095441 & -0.7454 & 0.229442 \tabularnewline
41 & 0.109109 & 0.8522 & 0.198727 \tabularnewline
42 & 0.072191 & 0.5638 & 0.287468 \tabularnewline
43 & 0.03356 & 0.2621 & 0.39706 \tabularnewline
44 & 0.00372 & 0.0291 & 0.488458 \tabularnewline
45 & -0.054918 & -0.4289 & 0.334746 \tabularnewline
46 & -0.075334 & -0.5884 & 0.279227 \tabularnewline
47 & 0.068507 & 0.5351 & 0.297277 \tabularnewline
48 & 0.08729 & 0.6818 & 0.248987 \tabularnewline
49 & -0.00484 & -0.0378 & 0.484985 \tabularnewline
50 & -0.044743 & -0.3495 & 0.363975 \tabularnewline
51 & -0.061391 & -0.4795 & 0.316657 \tabularnewline
52 & 0.003416 & 0.0267 & 0.489402 \tabularnewline
53 & 0.006439 & 0.0503 & 0.480028 \tabularnewline
54 & -0.007598 & -0.0593 & 0.476436 \tabularnewline
55 & 0.038885 & 0.3037 & 0.381196 \tabularnewline
56 & 0.014145 & 0.1105 & 0.456198 \tabularnewline
57 & 0.00145 & 0.0113 & 0.495501 \tabularnewline
58 & -0.049912 & -0.3898 & 0.349011 \tabularnewline
59 & 0.010607 & 0.0828 & 0.467123 \tabularnewline
60 & 0.002976 & 0.0232 & 0.490765 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31374&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]0.122722[/C][C]0.9585[/C][C]0.170799[/C][/ROW]
[ROW][C]2[/C][C]-0.159202[/C][C]-1.2434[/C][C]0.109237[/C][/ROW]
[ROW][C]3[/C][C]-0.315882[/C][C]-2.4671[/C][C]0.008222[/C][/ROW]
[ROW][C]4[/C][C]-0.332105[/C][C]-2.5938[/C][C]0.005934[/C][/ROW]
[ROW][C]5[/C][C]0.121299[/C][C]0.9474[/C][C]0.173593[/C][/ROW]
[ROW][C]6[/C][C]0.13703[/C][C]1.0702[/C][C]0.144365[/C][/ROW]
[ROW][C]7[/C][C]0.141723[/C][C]1.1069[/C][C]0.136342[/C][/ROW]
[ROW][C]8[/C][C]-0.229555[/C][C]-1.7929[/C][C]0.038975[/C][/ROW]
[ROW][C]9[/C][C]-0.243614[/C][C]-1.9027[/C][C]0.030902[/C][/ROW]
[ROW][C]10[/C][C]-0.128994[/C][C]-1.0075[/C][C]0.158844[/C][/ROW]
[ROW][C]11[/C][C]0.174455[/C][C]1.3625[/C][C]0.08902[/C][/ROW]
[ROW][C]12[/C][C]0.614122[/C][C]4.7964[/C][C]5e-06[/C][/ROW]
[ROW][C]13[/C][C]0.073147[/C][C]0.5713[/C][C]0.284948[/C][/ROW]
[ROW][C]14[/C][C]-0.095978[/C][C]-0.7496[/C][C]0.228185[/C][/ROW]
[ROW][C]15[/C][C]-0.265697[/C][C]-2.0752[/C][C]0.021098[/C][/ROW]
[ROW][C]16[/C][C]-0.313457[/C][C]-2.4482[/C][C]0.008625[/C][/ROW]
[ROW][C]17[/C][C]0.075661[/C][C]0.5909[/C][C]0.278375[/C][/ROW]
[ROW][C]18[/C][C]0.14866[/C][C]1.1611[/C][C]0.125068[/C][/ROW]
[ROW][C]19[/C][C]0.081252[/C][C]0.6346[/C][C]0.264031[/C][/ROW]
[ROW][C]20[/C][C]-0.167935[/C][C]-1.3116[/C][C]0.097282[/C][/ROW]
[ROW][C]21[/C][C]-0.150318[/C][C]-1.174[/C][C]0.122475[/C][/ROW]
[ROW][C]22[/C][C]-0.054437[/C][C]-0.4252[/C][C]0.336107[/C][/ROW]
[ROW][C]23[/C][C]0.112247[/C][C]0.8767[/C][C]0.19205[/C][/ROW]
[ROW][C]24[/C][C]0.38448[/C][C]3.0029[/C][C]0.001937[/C][/ROW]
[ROW][C]25[/C][C]0.062175[/C][C]0.4856[/C][C]0.314494[/C][/ROW]
[ROW][C]26[/C][C]-0.073217[/C][C]-0.5718[/C][C]0.284765[/C][/ROW]
[ROW][C]27[/C][C]-0.235004[/C][C]-1.8354[/C][C]0.035659[/C][/ROW]
[ROW][C]28[/C][C]-0.269728[/C][C]-2.1066[/C][C]0.019635[/C][/ROW]
[ROW][C]29[/C][C]0.098224[/C][C]0.7672[/C][C]0.222973[/C][/ROW]
[ROW][C]30[/C][C]0.137683[/C][C]1.0753[/C][C]0.14323[/C][/ROW]
[ROW][C]31[/C][C]0.092804[/C][C]0.7248[/C][C]0.235667[/C][/ROW]
[ROW][C]32[/C][C]-0.064072[/C][C]-0.5004[/C][C]0.309291[/C][/ROW]
[ROW][C]33[/C][C]-0.079672[/C][C]-0.6223[/C][C]0.268044[/C][/ROW]
[ROW][C]34[/C][C]-0.035003[/C][C]-0.2734[/C][C]0.39274[/C][/ROW]
[ROW][C]35[/C][C]0.037205[/C][C]0.2906[/C][C]0.386178[/C][/ROW]
[ROW][C]36[/C][C]0.240195[/C][C]1.876[/C][C]0.032722[/C][/ROW]
[ROW][C]37[/C][C]0.005767[/C][C]0.045[/C][C]0.48211[/C][/ROW]
[ROW][C]38[/C][C]-0.04863[/C][C]-0.3798[/C][C]0.352701[/C][/ROW]
[ROW][C]39[/C][C]-0.15647[/C][C]-1.2221[/C][C]0.113192[/C][/ROW]
[ROW][C]40[/C][C]-0.095441[/C][C]-0.7454[/C][C]0.229442[/C][/ROW]
[ROW][C]41[/C][C]0.109109[/C][C]0.8522[/C][C]0.198727[/C][/ROW]
[ROW][C]42[/C][C]0.072191[/C][C]0.5638[/C][C]0.287468[/C][/ROW]
[ROW][C]43[/C][C]0.03356[/C][C]0.2621[/C][C]0.39706[/C][/ROW]
[ROW][C]44[/C][C]0.00372[/C][C]0.0291[/C][C]0.488458[/C][/ROW]
[ROW][C]45[/C][C]-0.054918[/C][C]-0.4289[/C][C]0.334746[/C][/ROW]
[ROW][C]46[/C][C]-0.075334[/C][C]-0.5884[/C][C]0.279227[/C][/ROW]
[ROW][C]47[/C][C]0.068507[/C][C]0.5351[/C][C]0.297277[/C][/ROW]
[ROW][C]48[/C][C]0.08729[/C][C]0.6818[/C][C]0.248987[/C][/ROW]
[ROW][C]49[/C][C]-0.00484[/C][C]-0.0378[/C][C]0.484985[/C][/ROW]
[ROW][C]50[/C][C]-0.044743[/C][C]-0.3495[/C][C]0.363975[/C][/ROW]
[ROW][C]51[/C][C]-0.061391[/C][C]-0.4795[/C][C]0.316657[/C][/ROW]
[ROW][C]52[/C][C]0.003416[/C][C]0.0267[/C][C]0.489402[/C][/ROW]
[ROW][C]53[/C][C]0.006439[/C][C]0.0503[/C][C]0.480028[/C][/ROW]
[ROW][C]54[/C][C]-0.007598[/C][C]-0.0593[/C][C]0.476436[/C][/ROW]
[ROW][C]55[/C][C]0.038885[/C][C]0.3037[/C][C]0.381196[/C][/ROW]
[ROW][C]56[/C][C]0.014145[/C][C]0.1105[/C][C]0.456198[/C][/ROW]
[ROW][C]57[/C][C]0.00145[/C][C]0.0113[/C][C]0.495501[/C][/ROW]
[ROW][C]58[/C][C]-0.049912[/C][C]-0.3898[/C][C]0.349011[/C][/ROW]
[ROW][C]59[/C][C]0.010607[/C][C]0.0828[/C][C]0.467123[/C][/ROW]
[ROW][C]60[/C][C]0.002976[/C][C]0.0232[/C][C]0.490765[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31374&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31374&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
10.1227220.95850.170799
2-0.159202-1.24340.109237
3-0.315882-2.46710.008222
4-0.332105-2.59380.005934
50.1212990.94740.173593
60.137031.07020.144365
70.1417231.10690.136342
8-0.229555-1.79290.038975
9-0.243614-1.90270.030902
10-0.128994-1.00750.158844
110.1744551.36250.08902
120.6141224.79645e-06
130.0731470.57130.284948
14-0.095978-0.74960.228185
15-0.265697-2.07520.021098
16-0.313457-2.44820.008625
170.0756610.59090.278375
180.148661.16110.125068
190.0812520.63460.264031
20-0.167935-1.31160.097282
21-0.150318-1.1740.122475
22-0.054437-0.42520.336107
230.1122470.87670.19205
240.384483.00290.001937
250.0621750.48560.314494
26-0.073217-0.57180.284765
27-0.235004-1.83540.035659
28-0.269728-2.10660.019635
290.0982240.76720.222973
300.1376831.07530.14323
310.0928040.72480.235667
32-0.064072-0.50040.309291
33-0.079672-0.62230.268044
34-0.035003-0.27340.39274
350.0372050.29060.386178
360.2401951.8760.032722
370.0057670.0450.48211
38-0.04863-0.37980.352701
39-0.15647-1.22210.113192
40-0.095441-0.74540.229442
410.1091090.85220.198727
420.0721910.56380.287468
430.033560.26210.39706
440.003720.02910.488458
45-0.054918-0.42890.334746
46-0.075334-0.58840.279227
470.0685070.53510.297277
480.087290.68180.248987
49-0.00484-0.03780.484985
50-0.044743-0.34950.363975
51-0.061391-0.47950.316657
520.0034160.02670.489402
530.0064390.05030.480028
54-0.007598-0.05930.476436
550.0388850.30370.381196
560.0141450.11050.456198
570.001450.01130.495501
58-0.049912-0.38980.349011
590.0106070.08280.467123
600.0029760.02320.490765







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1227220.95850.170799
2-0.176928-1.38190.086029
3-0.284219-2.21980.015079
4-0.329653-2.57470.006238
50.0825460.64470.260767
6-0.073763-0.57610.283332
7-0.014099-0.11010.456339
8-0.357701-2.79370.003476
9-0.182892-1.42840.079134
10-0.277111-2.16430.017182
11-0.014001-0.10930.456643
120.3937573.07530.001572
13-0.063747-0.49790.310178
140.0454590.3550.361891
150.0757740.59180.278081
16-0.066316-0.51790.303186
17-0.041738-0.3260.372777
180.0142610.11140.45584
19-0.13277-1.0370.151922
20-0.118729-0.92730.178711
21-0.001085-0.00850.496632
22-0.009325-0.07280.471088
23-0.17438-1.36190.089111
24-0.045211-0.35310.362611
25-0.038859-0.30350.381272
26-0.091228-0.71250.239432
27-0.122036-0.95310.172142
28-0.119198-0.9310.17777
29-0.056501-0.44130.330282
30-0.077804-0.60770.272831
31-0.023429-0.1830.427709
32-0.022064-0.17230.431877
330.0032120.02510.490032
340.0135530.10590.458024
35-0.064523-0.50390.308058
36-0.064693-0.50530.307594
37-0.115187-0.89960.185925
38-0.056894-0.44440.329178
39-0.08027-0.62690.266523
400.1113910.870.193859
410.0146270.11420.45471
42-0.015042-0.11750.453431
43-0.087457-0.68310.248576
440.1141180.89130.188139
45-0.053985-0.42160.337387
46-0.118957-0.92910.178254
470.0505220.39460.34726
48-0.078544-0.61340.270932
490.007460.05830.476864
50-0.01243-0.09710.461491
510.0493250.38520.350698
520.0027090.02120.491595
53-0.098708-0.77090.22186
54-0.125932-0.98360.164608
550.0006260.00490.498059
56-0.102381-0.79960.213516
570.052080.40680.342806
58-0.057269-0.44730.328126
59-0.038108-0.29760.383499
600.0442750.34580.365341

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.122722 & 0.9585 & 0.170799 \tabularnewline
2 & -0.176928 & -1.3819 & 0.086029 \tabularnewline
3 & -0.284219 & -2.2198 & 0.015079 \tabularnewline
4 & -0.329653 & -2.5747 & 0.006238 \tabularnewline
5 & 0.082546 & 0.6447 & 0.260767 \tabularnewline
6 & -0.073763 & -0.5761 & 0.283332 \tabularnewline
7 & -0.014099 & -0.1101 & 0.456339 \tabularnewline
8 & -0.357701 & -2.7937 & 0.003476 \tabularnewline
9 & -0.182892 & -1.4284 & 0.079134 \tabularnewline
10 & -0.277111 & -2.1643 & 0.017182 \tabularnewline
11 & -0.014001 & -0.1093 & 0.456643 \tabularnewline
12 & 0.393757 & 3.0753 & 0.001572 \tabularnewline
13 & -0.063747 & -0.4979 & 0.310178 \tabularnewline
14 & 0.045459 & 0.355 & 0.361891 \tabularnewline
15 & 0.075774 & 0.5918 & 0.278081 \tabularnewline
16 & -0.066316 & -0.5179 & 0.303186 \tabularnewline
17 & -0.041738 & -0.326 & 0.372777 \tabularnewline
18 & 0.014261 & 0.1114 & 0.45584 \tabularnewline
19 & -0.13277 & -1.037 & 0.151922 \tabularnewline
20 & -0.118729 & -0.9273 & 0.178711 \tabularnewline
21 & -0.001085 & -0.0085 & 0.496632 \tabularnewline
22 & -0.009325 & -0.0728 & 0.471088 \tabularnewline
23 & -0.17438 & -1.3619 & 0.089111 \tabularnewline
24 & -0.045211 & -0.3531 & 0.362611 \tabularnewline
25 & -0.038859 & -0.3035 & 0.381272 \tabularnewline
26 & -0.091228 & -0.7125 & 0.239432 \tabularnewline
27 & -0.122036 & -0.9531 & 0.172142 \tabularnewline
28 & -0.119198 & -0.931 & 0.17777 \tabularnewline
29 & -0.056501 & -0.4413 & 0.330282 \tabularnewline
30 & -0.077804 & -0.6077 & 0.272831 \tabularnewline
31 & -0.023429 & -0.183 & 0.427709 \tabularnewline
32 & -0.022064 & -0.1723 & 0.431877 \tabularnewline
33 & 0.003212 & 0.0251 & 0.490032 \tabularnewline
34 & 0.013553 & 0.1059 & 0.458024 \tabularnewline
35 & -0.064523 & -0.5039 & 0.308058 \tabularnewline
36 & -0.064693 & -0.5053 & 0.307594 \tabularnewline
37 & -0.115187 & -0.8996 & 0.185925 \tabularnewline
38 & -0.056894 & -0.4444 & 0.329178 \tabularnewline
39 & -0.08027 & -0.6269 & 0.266523 \tabularnewline
40 & 0.111391 & 0.87 & 0.193859 \tabularnewline
41 & 0.014627 & 0.1142 & 0.45471 \tabularnewline
42 & -0.015042 & -0.1175 & 0.453431 \tabularnewline
43 & -0.087457 & -0.6831 & 0.248576 \tabularnewline
44 & 0.114118 & 0.8913 & 0.188139 \tabularnewline
45 & -0.053985 & -0.4216 & 0.337387 \tabularnewline
46 & -0.118957 & -0.9291 & 0.178254 \tabularnewline
47 & 0.050522 & 0.3946 & 0.34726 \tabularnewline
48 & -0.078544 & -0.6134 & 0.270932 \tabularnewline
49 & 0.00746 & 0.0583 & 0.476864 \tabularnewline
50 & -0.01243 & -0.0971 & 0.461491 \tabularnewline
51 & 0.049325 & 0.3852 & 0.350698 \tabularnewline
52 & 0.002709 & 0.0212 & 0.491595 \tabularnewline
53 & -0.098708 & -0.7709 & 0.22186 \tabularnewline
54 & -0.125932 & -0.9836 & 0.164608 \tabularnewline
55 & 0.000626 & 0.0049 & 0.498059 \tabularnewline
56 & -0.102381 & -0.7996 & 0.213516 \tabularnewline
57 & 0.05208 & 0.4068 & 0.342806 \tabularnewline
58 & -0.057269 & -0.4473 & 0.328126 \tabularnewline
59 & -0.038108 & -0.2976 & 0.383499 \tabularnewline
60 & 0.044275 & 0.3458 & 0.365341 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31374&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]0.122722[/C][C]0.9585[/C][C]0.170799[/C][/ROW]
[ROW][C]2[/C][C]-0.176928[/C][C]-1.3819[/C][C]0.086029[/C][/ROW]
[ROW][C]3[/C][C]-0.284219[/C][C]-2.2198[/C][C]0.015079[/C][/ROW]
[ROW][C]4[/C][C]-0.329653[/C][C]-2.5747[/C][C]0.006238[/C][/ROW]
[ROW][C]5[/C][C]0.082546[/C][C]0.6447[/C][C]0.260767[/C][/ROW]
[ROW][C]6[/C][C]-0.073763[/C][C]-0.5761[/C][C]0.283332[/C][/ROW]
[ROW][C]7[/C][C]-0.014099[/C][C]-0.1101[/C][C]0.456339[/C][/ROW]
[ROW][C]8[/C][C]-0.357701[/C][C]-2.7937[/C][C]0.003476[/C][/ROW]
[ROW][C]9[/C][C]-0.182892[/C][C]-1.4284[/C][C]0.079134[/C][/ROW]
[ROW][C]10[/C][C]-0.277111[/C][C]-2.1643[/C][C]0.017182[/C][/ROW]
[ROW][C]11[/C][C]-0.014001[/C][C]-0.1093[/C][C]0.456643[/C][/ROW]
[ROW][C]12[/C][C]0.393757[/C][C]3.0753[/C][C]0.001572[/C][/ROW]
[ROW][C]13[/C][C]-0.063747[/C][C]-0.4979[/C][C]0.310178[/C][/ROW]
[ROW][C]14[/C][C]0.045459[/C][C]0.355[/C][C]0.361891[/C][/ROW]
[ROW][C]15[/C][C]0.075774[/C][C]0.5918[/C][C]0.278081[/C][/ROW]
[ROW][C]16[/C][C]-0.066316[/C][C]-0.5179[/C][C]0.303186[/C][/ROW]
[ROW][C]17[/C][C]-0.041738[/C][C]-0.326[/C][C]0.372777[/C][/ROW]
[ROW][C]18[/C][C]0.014261[/C][C]0.1114[/C][C]0.45584[/C][/ROW]
[ROW][C]19[/C][C]-0.13277[/C][C]-1.037[/C][C]0.151922[/C][/ROW]
[ROW][C]20[/C][C]-0.118729[/C][C]-0.9273[/C][C]0.178711[/C][/ROW]
[ROW][C]21[/C][C]-0.001085[/C][C]-0.0085[/C][C]0.496632[/C][/ROW]
[ROW][C]22[/C][C]-0.009325[/C][C]-0.0728[/C][C]0.471088[/C][/ROW]
[ROW][C]23[/C][C]-0.17438[/C][C]-1.3619[/C][C]0.089111[/C][/ROW]
[ROW][C]24[/C][C]-0.045211[/C][C]-0.3531[/C][C]0.362611[/C][/ROW]
[ROW][C]25[/C][C]-0.038859[/C][C]-0.3035[/C][C]0.381272[/C][/ROW]
[ROW][C]26[/C][C]-0.091228[/C][C]-0.7125[/C][C]0.239432[/C][/ROW]
[ROW][C]27[/C][C]-0.122036[/C][C]-0.9531[/C][C]0.172142[/C][/ROW]
[ROW][C]28[/C][C]-0.119198[/C][C]-0.931[/C][C]0.17777[/C][/ROW]
[ROW][C]29[/C][C]-0.056501[/C][C]-0.4413[/C][C]0.330282[/C][/ROW]
[ROW][C]30[/C][C]-0.077804[/C][C]-0.6077[/C][C]0.272831[/C][/ROW]
[ROW][C]31[/C][C]-0.023429[/C][C]-0.183[/C][C]0.427709[/C][/ROW]
[ROW][C]32[/C][C]-0.022064[/C][C]-0.1723[/C][C]0.431877[/C][/ROW]
[ROW][C]33[/C][C]0.003212[/C][C]0.0251[/C][C]0.490032[/C][/ROW]
[ROW][C]34[/C][C]0.013553[/C][C]0.1059[/C][C]0.458024[/C][/ROW]
[ROW][C]35[/C][C]-0.064523[/C][C]-0.5039[/C][C]0.308058[/C][/ROW]
[ROW][C]36[/C][C]-0.064693[/C][C]-0.5053[/C][C]0.307594[/C][/ROW]
[ROW][C]37[/C][C]-0.115187[/C][C]-0.8996[/C][C]0.185925[/C][/ROW]
[ROW][C]38[/C][C]-0.056894[/C][C]-0.4444[/C][C]0.329178[/C][/ROW]
[ROW][C]39[/C][C]-0.08027[/C][C]-0.6269[/C][C]0.266523[/C][/ROW]
[ROW][C]40[/C][C]0.111391[/C][C]0.87[/C][C]0.193859[/C][/ROW]
[ROW][C]41[/C][C]0.014627[/C][C]0.1142[/C][C]0.45471[/C][/ROW]
[ROW][C]42[/C][C]-0.015042[/C][C]-0.1175[/C][C]0.453431[/C][/ROW]
[ROW][C]43[/C][C]-0.087457[/C][C]-0.6831[/C][C]0.248576[/C][/ROW]
[ROW][C]44[/C][C]0.114118[/C][C]0.8913[/C][C]0.188139[/C][/ROW]
[ROW][C]45[/C][C]-0.053985[/C][C]-0.4216[/C][C]0.337387[/C][/ROW]
[ROW][C]46[/C][C]-0.118957[/C][C]-0.9291[/C][C]0.178254[/C][/ROW]
[ROW][C]47[/C][C]0.050522[/C][C]0.3946[/C][C]0.34726[/C][/ROW]
[ROW][C]48[/C][C]-0.078544[/C][C]-0.6134[/C][C]0.270932[/C][/ROW]
[ROW][C]49[/C][C]0.00746[/C][C]0.0583[/C][C]0.476864[/C][/ROW]
[ROW][C]50[/C][C]-0.01243[/C][C]-0.0971[/C][C]0.461491[/C][/ROW]
[ROW][C]51[/C][C]0.049325[/C][C]0.3852[/C][C]0.350698[/C][/ROW]
[ROW][C]52[/C][C]0.002709[/C][C]0.0212[/C][C]0.491595[/C][/ROW]
[ROW][C]53[/C][C]-0.098708[/C][C]-0.7709[/C][C]0.22186[/C][/ROW]
[ROW][C]54[/C][C]-0.125932[/C][C]-0.9836[/C][C]0.164608[/C][/ROW]
[ROW][C]55[/C][C]0.000626[/C][C]0.0049[/C][C]0.498059[/C][/ROW]
[ROW][C]56[/C][C]-0.102381[/C][C]-0.7996[/C][C]0.213516[/C][/ROW]
[ROW][C]57[/C][C]0.05208[/C][C]0.4068[/C][C]0.342806[/C][/ROW]
[ROW][C]58[/C][C]-0.057269[/C][C]-0.4473[/C][C]0.328126[/C][/ROW]
[ROW][C]59[/C][C]-0.038108[/C][C]-0.2976[/C][C]0.383499[/C][/ROW]
[ROW][C]60[/C][C]0.044275[/C][C]0.3458[/C][C]0.365341[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31374&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31374&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
10.1227220.95850.170799
2-0.176928-1.38190.086029
3-0.284219-2.21980.015079
4-0.329653-2.57470.006238
50.0825460.64470.260767
6-0.073763-0.57610.283332
7-0.014099-0.11010.456339
8-0.357701-2.79370.003476
9-0.182892-1.42840.079134
10-0.277111-2.16430.017182
11-0.014001-0.10930.456643
120.3937573.07530.001572
13-0.063747-0.49790.310178
140.0454590.3550.361891
150.0757740.59180.278081
16-0.066316-0.51790.303186
17-0.041738-0.3260.372777
180.0142610.11140.45584
19-0.13277-1.0370.151922
20-0.118729-0.92730.178711
21-0.001085-0.00850.496632
22-0.009325-0.07280.471088
23-0.17438-1.36190.089111
24-0.045211-0.35310.362611
25-0.038859-0.30350.381272
26-0.091228-0.71250.239432
27-0.122036-0.95310.172142
28-0.119198-0.9310.17777
29-0.056501-0.44130.330282
30-0.077804-0.60770.272831
31-0.023429-0.1830.427709
32-0.022064-0.17230.431877
330.0032120.02510.490032
340.0135530.10590.458024
35-0.064523-0.50390.308058
36-0.064693-0.50530.307594
37-0.115187-0.89960.185925
38-0.056894-0.44440.329178
39-0.08027-0.62690.266523
400.1113910.870.193859
410.0146270.11420.45471
42-0.015042-0.11750.453431
43-0.087457-0.68310.248576
440.1141180.89130.188139
45-0.053985-0.42160.337387
46-0.118957-0.92910.178254
470.0505220.39460.34726
48-0.078544-0.61340.270932
490.007460.05830.476864
50-0.01243-0.09710.461491
510.0493250.38520.350698
520.0027090.02120.491595
53-0.098708-0.77090.22186
54-0.125932-0.98360.164608
550.0006260.00490.498059
56-0.102381-0.79960.213516
570.052080.40680.342806
58-0.057269-0.44730.328126
59-0.038108-0.29760.383499
600.0442750.34580.365341



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')