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 computationSun, 17 May 2009 04:53:07 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/17/t1242557640opo5725urud9aaz.htm/, Retrieved Fri, 03 May 2024 22:51:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40192, Retrieved Fri, 03 May 2024 22:51:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie ju...] [2009-05-17 10:53:07] [822aa141fddc67f18188afbe1dd38d3f] [Current]
Feedback Forum

Post a new message
Dataseries X:
20.73
20.73
20.74
20.74
20.75
20.75
20.77
20.78
20.78
20.8
20.84
20.85
20.86
20.86
20.86
20.86
20.9
20.92
20.95
20.95
20.95
20.96
21.1
21.18
21.19
21.19
21.19
21.19
21.19
21.21
21.22
21.22
21.22
21.23
21.41
21.42
21.43
21.44
21.44
21.44
21.48
21.53
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.57
21.6
21.61
21.6
21.6
21.71
21.75
21.84
21.85
21.92
21.92
21.93
22
22
21.99
22.01
22.01
22.06
22.03
22.05
22.05
22.06
22.06
22.13
22.06
22.25
22.28
22.18




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=40192&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=40192&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40192&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
1-0.08983-0.79840.213509
2-0.078971-0.70190.2424
3-0.027113-0.2410.405095
4-0.05785-0.51420.304281
5-0.019065-0.16940.432938
60.0710840.63180.264669
7-0.025879-0.230.409337
8-0.029047-0.25820.398471
9-0.155258-1.380.085745
10-0.083121-0.73880.23111
110.0254060.22580.410965
120.1120470.99590.16117
13-0.005947-0.05290.478989
14-0.061213-0.54410.293961
15-0.219582-1.95170.02726
160.0885130.78670.216898
17-0.034677-0.30820.379365
180.1612371.43310.077887
190.0056580.05030.480008
200.0103480.0920.463475
21-0.118029-1.04910.148673
22-0.166135-1.47660.071874
230.1250511.11150.134867
240.0971050.86310.195351
250.0962320.85530.197479
26-0.095618-0.84990.198984
27-0.002688-0.02390.490501
28-0.035224-0.31310.377525
29-0.05096-0.45290.325917
300.0690430.61370.2706
31-0.037835-0.33630.368775
32-0.084517-0.75120.227381
33-0.082003-0.72890.234122
340.0134880.11990.452439
350.1429191.27030.103855
360.0351970.31280.377615
370.0964550.85730.196933
38-0.059858-0.5320.2981
39-0.015757-0.14010.444487
40-0.029308-0.26050.397578
410.1235771.09840.137687
42-0.054492-0.48430.314743
430.2047551.81990.036281
44-0.023356-0.20760.418042
45-0.161537-1.43580.077507
46-0.012379-0.110.456335
470.0256720.22820.410049
48-0.00433-0.03850.484698

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.08983 & -0.7984 & 0.213509 \tabularnewline
2 & -0.078971 & -0.7019 & 0.2424 \tabularnewline
3 & -0.027113 & -0.241 & 0.405095 \tabularnewline
4 & -0.05785 & -0.5142 & 0.304281 \tabularnewline
5 & -0.019065 & -0.1694 & 0.432938 \tabularnewline
6 & 0.071084 & 0.6318 & 0.264669 \tabularnewline
7 & -0.025879 & -0.23 & 0.409337 \tabularnewline
8 & -0.029047 & -0.2582 & 0.398471 \tabularnewline
9 & -0.155258 & -1.38 & 0.085745 \tabularnewline
10 & -0.083121 & -0.7388 & 0.23111 \tabularnewline
11 & 0.025406 & 0.2258 & 0.410965 \tabularnewline
12 & 0.112047 & 0.9959 & 0.16117 \tabularnewline
13 & -0.005947 & -0.0529 & 0.478989 \tabularnewline
14 & -0.061213 & -0.5441 & 0.293961 \tabularnewline
15 & -0.219582 & -1.9517 & 0.02726 \tabularnewline
16 & 0.088513 & 0.7867 & 0.216898 \tabularnewline
17 & -0.034677 & -0.3082 & 0.379365 \tabularnewline
18 & 0.161237 & 1.4331 & 0.077887 \tabularnewline
19 & 0.005658 & 0.0503 & 0.480008 \tabularnewline
20 & 0.010348 & 0.092 & 0.463475 \tabularnewline
21 & -0.118029 & -1.0491 & 0.148673 \tabularnewline
22 & -0.166135 & -1.4766 & 0.071874 \tabularnewline
23 & 0.125051 & 1.1115 & 0.134867 \tabularnewline
24 & 0.097105 & 0.8631 & 0.195351 \tabularnewline
25 & 0.096232 & 0.8553 & 0.197479 \tabularnewline
26 & -0.095618 & -0.8499 & 0.198984 \tabularnewline
27 & -0.002688 & -0.0239 & 0.490501 \tabularnewline
28 & -0.035224 & -0.3131 & 0.377525 \tabularnewline
29 & -0.05096 & -0.4529 & 0.325917 \tabularnewline
30 & 0.069043 & 0.6137 & 0.2706 \tabularnewline
31 & -0.037835 & -0.3363 & 0.368775 \tabularnewline
32 & -0.084517 & -0.7512 & 0.227381 \tabularnewline
33 & -0.082003 & -0.7289 & 0.234122 \tabularnewline
34 & 0.013488 & 0.1199 & 0.452439 \tabularnewline
35 & 0.142919 & 1.2703 & 0.103855 \tabularnewline
36 & 0.035197 & 0.3128 & 0.377615 \tabularnewline
37 & 0.096455 & 0.8573 & 0.196933 \tabularnewline
38 & -0.059858 & -0.532 & 0.2981 \tabularnewline
39 & -0.015757 & -0.1401 & 0.444487 \tabularnewline
40 & -0.029308 & -0.2605 & 0.397578 \tabularnewline
41 & 0.123577 & 1.0984 & 0.137687 \tabularnewline
42 & -0.054492 & -0.4843 & 0.314743 \tabularnewline
43 & 0.204755 & 1.8199 & 0.036281 \tabularnewline
44 & -0.023356 & -0.2076 & 0.418042 \tabularnewline
45 & -0.161537 & -1.4358 & 0.077507 \tabularnewline
46 & -0.012379 & -0.11 & 0.456335 \tabularnewline
47 & 0.025672 & 0.2282 & 0.410049 \tabularnewline
48 & -0.00433 & -0.0385 & 0.484698 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40192&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]-0.08983[/C][C]-0.7984[/C][C]0.213509[/C][/ROW]
[ROW][C]2[/C][C]-0.078971[/C][C]-0.7019[/C][C]0.2424[/C][/ROW]
[ROW][C]3[/C][C]-0.027113[/C][C]-0.241[/C][C]0.405095[/C][/ROW]
[ROW][C]4[/C][C]-0.05785[/C][C]-0.5142[/C][C]0.304281[/C][/ROW]
[ROW][C]5[/C][C]-0.019065[/C][C]-0.1694[/C][C]0.432938[/C][/ROW]
[ROW][C]6[/C][C]0.071084[/C][C]0.6318[/C][C]0.264669[/C][/ROW]
[ROW][C]7[/C][C]-0.025879[/C][C]-0.23[/C][C]0.409337[/C][/ROW]
[ROW][C]8[/C][C]-0.029047[/C][C]-0.2582[/C][C]0.398471[/C][/ROW]
[ROW][C]9[/C][C]-0.155258[/C][C]-1.38[/C][C]0.085745[/C][/ROW]
[ROW][C]10[/C][C]-0.083121[/C][C]-0.7388[/C][C]0.23111[/C][/ROW]
[ROW][C]11[/C][C]0.025406[/C][C]0.2258[/C][C]0.410965[/C][/ROW]
[ROW][C]12[/C][C]0.112047[/C][C]0.9959[/C][C]0.16117[/C][/ROW]
[ROW][C]13[/C][C]-0.005947[/C][C]-0.0529[/C][C]0.478989[/C][/ROW]
[ROW][C]14[/C][C]-0.061213[/C][C]-0.5441[/C][C]0.293961[/C][/ROW]
[ROW][C]15[/C][C]-0.219582[/C][C]-1.9517[/C][C]0.02726[/C][/ROW]
[ROW][C]16[/C][C]0.088513[/C][C]0.7867[/C][C]0.216898[/C][/ROW]
[ROW][C]17[/C][C]-0.034677[/C][C]-0.3082[/C][C]0.379365[/C][/ROW]
[ROW][C]18[/C][C]0.161237[/C][C]1.4331[/C][C]0.077887[/C][/ROW]
[ROW][C]19[/C][C]0.005658[/C][C]0.0503[/C][C]0.480008[/C][/ROW]
[ROW][C]20[/C][C]0.010348[/C][C]0.092[/C][C]0.463475[/C][/ROW]
[ROW][C]21[/C][C]-0.118029[/C][C]-1.0491[/C][C]0.148673[/C][/ROW]
[ROW][C]22[/C][C]-0.166135[/C][C]-1.4766[/C][C]0.071874[/C][/ROW]
[ROW][C]23[/C][C]0.125051[/C][C]1.1115[/C][C]0.134867[/C][/ROW]
[ROW][C]24[/C][C]0.097105[/C][C]0.8631[/C][C]0.195351[/C][/ROW]
[ROW][C]25[/C][C]0.096232[/C][C]0.8553[/C][C]0.197479[/C][/ROW]
[ROW][C]26[/C][C]-0.095618[/C][C]-0.8499[/C][C]0.198984[/C][/ROW]
[ROW][C]27[/C][C]-0.002688[/C][C]-0.0239[/C][C]0.490501[/C][/ROW]
[ROW][C]28[/C][C]-0.035224[/C][C]-0.3131[/C][C]0.377525[/C][/ROW]
[ROW][C]29[/C][C]-0.05096[/C][C]-0.4529[/C][C]0.325917[/C][/ROW]
[ROW][C]30[/C][C]0.069043[/C][C]0.6137[/C][C]0.2706[/C][/ROW]
[ROW][C]31[/C][C]-0.037835[/C][C]-0.3363[/C][C]0.368775[/C][/ROW]
[ROW][C]32[/C][C]-0.084517[/C][C]-0.7512[/C][C]0.227381[/C][/ROW]
[ROW][C]33[/C][C]-0.082003[/C][C]-0.7289[/C][C]0.234122[/C][/ROW]
[ROW][C]34[/C][C]0.013488[/C][C]0.1199[/C][C]0.452439[/C][/ROW]
[ROW][C]35[/C][C]0.142919[/C][C]1.2703[/C][C]0.103855[/C][/ROW]
[ROW][C]36[/C][C]0.035197[/C][C]0.3128[/C][C]0.377615[/C][/ROW]
[ROW][C]37[/C][C]0.096455[/C][C]0.8573[/C][C]0.196933[/C][/ROW]
[ROW][C]38[/C][C]-0.059858[/C][C]-0.532[/C][C]0.2981[/C][/ROW]
[ROW][C]39[/C][C]-0.015757[/C][C]-0.1401[/C][C]0.444487[/C][/ROW]
[ROW][C]40[/C][C]-0.029308[/C][C]-0.2605[/C][C]0.397578[/C][/ROW]
[ROW][C]41[/C][C]0.123577[/C][C]1.0984[/C][C]0.137687[/C][/ROW]
[ROW][C]42[/C][C]-0.054492[/C][C]-0.4843[/C][C]0.314743[/C][/ROW]
[ROW][C]43[/C][C]0.204755[/C][C]1.8199[/C][C]0.036281[/C][/ROW]
[ROW][C]44[/C][C]-0.023356[/C][C]-0.2076[/C][C]0.418042[/C][/ROW]
[ROW][C]45[/C][C]-0.161537[/C][C]-1.4358[/C][C]0.077507[/C][/ROW]
[ROW][C]46[/C][C]-0.012379[/C][C]-0.11[/C][C]0.456335[/C][/ROW]
[ROW][C]47[/C][C]0.025672[/C][C]0.2282[/C][C]0.410049[/C][/ROW]
[ROW][C]48[/C][C]-0.00433[/C][C]-0.0385[/C][C]0.484698[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40192&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40192&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
1-0.08983-0.79840.213509
2-0.078971-0.70190.2424
3-0.027113-0.2410.405095
4-0.05785-0.51420.304281
5-0.019065-0.16940.432938
60.0710840.63180.264669
7-0.025879-0.230.409337
8-0.029047-0.25820.398471
9-0.155258-1.380.085745
10-0.083121-0.73880.23111
110.0254060.22580.410965
120.1120470.99590.16117
13-0.005947-0.05290.478989
14-0.061213-0.54410.293961
15-0.219582-1.95170.02726
160.0885130.78670.216898
17-0.034677-0.30820.379365
180.1612371.43310.077887
190.0056580.05030.480008
200.0103480.0920.463475
21-0.118029-1.04910.148673
22-0.166135-1.47660.071874
230.1250511.11150.134867
240.0971050.86310.195351
250.0962320.85530.197479
26-0.095618-0.84990.198984
27-0.002688-0.02390.490501
28-0.035224-0.31310.377525
29-0.05096-0.45290.325917
300.0690430.61370.2706
31-0.037835-0.33630.368775
32-0.084517-0.75120.227381
33-0.082003-0.72890.234122
340.0134880.11990.452439
350.1429191.27030.103855
360.0351970.31280.377615
370.0964550.85730.196933
38-0.059858-0.5320.2981
39-0.015757-0.14010.444487
40-0.029308-0.26050.397578
410.1235771.09840.137687
42-0.054492-0.48430.314743
430.2047551.81990.036281
44-0.023356-0.20760.418042
45-0.161537-1.43580.077507
46-0.012379-0.110.456335
470.0256720.22820.410049
48-0.00433-0.03850.484698







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.08983-0.79840.213509
2-0.087748-0.77990.218883
3-0.043393-0.38570.350382
4-0.073047-0.64930.259027
5-0.039267-0.3490.364005
60.0534030.47470.318172
7-0.023655-0.21030.417006
8-0.029968-0.26640.395327
9-0.168825-1.50060.068729
10-0.124311-1.10490.136279
11-0.033307-0.2960.383989
120.0747950.66480.25406
13-0.011602-0.10310.459064
14-0.072255-0.64220.261297
15-0.243557-2.16480.016712
160.027960.24850.402192
17-0.088255-0.78440.217567
180.1081630.96140.16965
19-0.041228-0.36640.357508
200.0207820.18470.426964
21-0.098566-0.87610.191823
22-0.221558-1.96920.026215
230.0364860.32430.373286
24-0.021979-0.19540.42281
250.123471.09740.137895
26-0.107111-0.9520.171995
270.0658020.58490.280155
28-0.069631-0.61890.268883
29-0.105718-0.93960.175133
30-0.071288-0.63360.264078
31-0.117872-1.04770.148994
32-0.123935-1.10160.136999
33-0.057407-0.51020.30565
340.0001820.00160.499358
350.1225861.08960.139609
36-0.09373-0.83310.203653
370.0279510.24840.402222
38-0.053516-0.47570.317815
39-0.015729-0.13980.444588
400.0280960.24970.401725
410.0285550.25380.400154
42-0.029702-0.2640.396233
430.1298661.15430.125935
440.0676490.60130.27469
45-0.085343-0.75850.22519
46-0.043312-0.3850.35065
47-0.017547-0.1560.438232
48-0.023013-0.20450.419228

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.08983 & -0.7984 & 0.213509 \tabularnewline
2 & -0.087748 & -0.7799 & 0.218883 \tabularnewline
3 & -0.043393 & -0.3857 & 0.350382 \tabularnewline
4 & -0.073047 & -0.6493 & 0.259027 \tabularnewline
5 & -0.039267 & -0.349 & 0.364005 \tabularnewline
6 & 0.053403 & 0.4747 & 0.318172 \tabularnewline
7 & -0.023655 & -0.2103 & 0.417006 \tabularnewline
8 & -0.029968 & -0.2664 & 0.395327 \tabularnewline
9 & -0.168825 & -1.5006 & 0.068729 \tabularnewline
10 & -0.124311 & -1.1049 & 0.136279 \tabularnewline
11 & -0.033307 & -0.296 & 0.383989 \tabularnewline
12 & 0.074795 & 0.6648 & 0.25406 \tabularnewline
13 & -0.011602 & -0.1031 & 0.459064 \tabularnewline
14 & -0.072255 & -0.6422 & 0.261297 \tabularnewline
15 & -0.243557 & -2.1648 & 0.016712 \tabularnewline
16 & 0.02796 & 0.2485 & 0.402192 \tabularnewline
17 & -0.088255 & -0.7844 & 0.217567 \tabularnewline
18 & 0.108163 & 0.9614 & 0.16965 \tabularnewline
19 & -0.041228 & -0.3664 & 0.357508 \tabularnewline
20 & 0.020782 & 0.1847 & 0.426964 \tabularnewline
21 & -0.098566 & -0.8761 & 0.191823 \tabularnewline
22 & -0.221558 & -1.9692 & 0.026215 \tabularnewline
23 & 0.036486 & 0.3243 & 0.373286 \tabularnewline
24 & -0.021979 & -0.1954 & 0.42281 \tabularnewline
25 & 0.12347 & 1.0974 & 0.137895 \tabularnewline
26 & -0.107111 & -0.952 & 0.171995 \tabularnewline
27 & 0.065802 & 0.5849 & 0.280155 \tabularnewline
28 & -0.069631 & -0.6189 & 0.268883 \tabularnewline
29 & -0.105718 & -0.9396 & 0.175133 \tabularnewline
30 & -0.071288 & -0.6336 & 0.264078 \tabularnewline
31 & -0.117872 & -1.0477 & 0.148994 \tabularnewline
32 & -0.123935 & -1.1016 & 0.136999 \tabularnewline
33 & -0.057407 & -0.5102 & 0.30565 \tabularnewline
34 & 0.000182 & 0.0016 & 0.499358 \tabularnewline
35 & 0.122586 & 1.0896 & 0.139609 \tabularnewline
36 & -0.09373 & -0.8331 & 0.203653 \tabularnewline
37 & 0.027951 & 0.2484 & 0.402222 \tabularnewline
38 & -0.053516 & -0.4757 & 0.317815 \tabularnewline
39 & -0.015729 & -0.1398 & 0.444588 \tabularnewline
40 & 0.028096 & 0.2497 & 0.401725 \tabularnewline
41 & 0.028555 & 0.2538 & 0.400154 \tabularnewline
42 & -0.029702 & -0.264 & 0.396233 \tabularnewline
43 & 0.129866 & 1.1543 & 0.125935 \tabularnewline
44 & 0.067649 & 0.6013 & 0.27469 \tabularnewline
45 & -0.085343 & -0.7585 & 0.22519 \tabularnewline
46 & -0.043312 & -0.385 & 0.35065 \tabularnewline
47 & -0.017547 & -0.156 & 0.438232 \tabularnewline
48 & -0.023013 & -0.2045 & 0.419228 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40192&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]-0.08983[/C][C]-0.7984[/C][C]0.213509[/C][/ROW]
[ROW][C]2[/C][C]-0.087748[/C][C]-0.7799[/C][C]0.218883[/C][/ROW]
[ROW][C]3[/C][C]-0.043393[/C][C]-0.3857[/C][C]0.350382[/C][/ROW]
[ROW][C]4[/C][C]-0.073047[/C][C]-0.6493[/C][C]0.259027[/C][/ROW]
[ROW][C]5[/C][C]-0.039267[/C][C]-0.349[/C][C]0.364005[/C][/ROW]
[ROW][C]6[/C][C]0.053403[/C][C]0.4747[/C][C]0.318172[/C][/ROW]
[ROW][C]7[/C][C]-0.023655[/C][C]-0.2103[/C][C]0.417006[/C][/ROW]
[ROW][C]8[/C][C]-0.029968[/C][C]-0.2664[/C][C]0.395327[/C][/ROW]
[ROW][C]9[/C][C]-0.168825[/C][C]-1.5006[/C][C]0.068729[/C][/ROW]
[ROW][C]10[/C][C]-0.124311[/C][C]-1.1049[/C][C]0.136279[/C][/ROW]
[ROW][C]11[/C][C]-0.033307[/C][C]-0.296[/C][C]0.383989[/C][/ROW]
[ROW][C]12[/C][C]0.074795[/C][C]0.6648[/C][C]0.25406[/C][/ROW]
[ROW][C]13[/C][C]-0.011602[/C][C]-0.1031[/C][C]0.459064[/C][/ROW]
[ROW][C]14[/C][C]-0.072255[/C][C]-0.6422[/C][C]0.261297[/C][/ROW]
[ROW][C]15[/C][C]-0.243557[/C][C]-2.1648[/C][C]0.016712[/C][/ROW]
[ROW][C]16[/C][C]0.02796[/C][C]0.2485[/C][C]0.402192[/C][/ROW]
[ROW][C]17[/C][C]-0.088255[/C][C]-0.7844[/C][C]0.217567[/C][/ROW]
[ROW][C]18[/C][C]0.108163[/C][C]0.9614[/C][C]0.16965[/C][/ROW]
[ROW][C]19[/C][C]-0.041228[/C][C]-0.3664[/C][C]0.357508[/C][/ROW]
[ROW][C]20[/C][C]0.020782[/C][C]0.1847[/C][C]0.426964[/C][/ROW]
[ROW][C]21[/C][C]-0.098566[/C][C]-0.8761[/C][C]0.191823[/C][/ROW]
[ROW][C]22[/C][C]-0.221558[/C][C]-1.9692[/C][C]0.026215[/C][/ROW]
[ROW][C]23[/C][C]0.036486[/C][C]0.3243[/C][C]0.373286[/C][/ROW]
[ROW][C]24[/C][C]-0.021979[/C][C]-0.1954[/C][C]0.42281[/C][/ROW]
[ROW][C]25[/C][C]0.12347[/C][C]1.0974[/C][C]0.137895[/C][/ROW]
[ROW][C]26[/C][C]-0.107111[/C][C]-0.952[/C][C]0.171995[/C][/ROW]
[ROW][C]27[/C][C]0.065802[/C][C]0.5849[/C][C]0.280155[/C][/ROW]
[ROW][C]28[/C][C]-0.069631[/C][C]-0.6189[/C][C]0.268883[/C][/ROW]
[ROW][C]29[/C][C]-0.105718[/C][C]-0.9396[/C][C]0.175133[/C][/ROW]
[ROW][C]30[/C][C]-0.071288[/C][C]-0.6336[/C][C]0.264078[/C][/ROW]
[ROW][C]31[/C][C]-0.117872[/C][C]-1.0477[/C][C]0.148994[/C][/ROW]
[ROW][C]32[/C][C]-0.123935[/C][C]-1.1016[/C][C]0.136999[/C][/ROW]
[ROW][C]33[/C][C]-0.057407[/C][C]-0.5102[/C][C]0.30565[/C][/ROW]
[ROW][C]34[/C][C]0.000182[/C][C]0.0016[/C][C]0.499358[/C][/ROW]
[ROW][C]35[/C][C]0.122586[/C][C]1.0896[/C][C]0.139609[/C][/ROW]
[ROW][C]36[/C][C]-0.09373[/C][C]-0.8331[/C][C]0.203653[/C][/ROW]
[ROW][C]37[/C][C]0.027951[/C][C]0.2484[/C][C]0.402222[/C][/ROW]
[ROW][C]38[/C][C]-0.053516[/C][C]-0.4757[/C][C]0.317815[/C][/ROW]
[ROW][C]39[/C][C]-0.015729[/C][C]-0.1398[/C][C]0.444588[/C][/ROW]
[ROW][C]40[/C][C]0.028096[/C][C]0.2497[/C][C]0.401725[/C][/ROW]
[ROW][C]41[/C][C]0.028555[/C][C]0.2538[/C][C]0.400154[/C][/ROW]
[ROW][C]42[/C][C]-0.029702[/C][C]-0.264[/C][C]0.396233[/C][/ROW]
[ROW][C]43[/C][C]0.129866[/C][C]1.1543[/C][C]0.125935[/C][/ROW]
[ROW][C]44[/C][C]0.067649[/C][C]0.6013[/C][C]0.27469[/C][/ROW]
[ROW][C]45[/C][C]-0.085343[/C][C]-0.7585[/C][C]0.22519[/C][/ROW]
[ROW][C]46[/C][C]-0.043312[/C][C]-0.385[/C][C]0.35065[/C][/ROW]
[ROW][C]47[/C][C]-0.017547[/C][C]-0.156[/C][C]0.438232[/C][/ROW]
[ROW][C]48[/C][C]-0.023013[/C][C]-0.2045[/C][C]0.419228[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40192&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40192&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
1-0.08983-0.79840.213509
2-0.087748-0.77990.218883
3-0.043393-0.38570.350382
4-0.073047-0.64930.259027
5-0.039267-0.3490.364005
60.0534030.47470.318172
7-0.023655-0.21030.417006
8-0.029968-0.26640.395327
9-0.168825-1.50060.068729
10-0.124311-1.10490.136279
11-0.033307-0.2960.383989
120.0747950.66480.25406
13-0.011602-0.10310.459064
14-0.072255-0.64220.261297
15-0.243557-2.16480.016712
160.027960.24850.402192
17-0.088255-0.78440.217567
180.1081630.96140.16965
19-0.041228-0.36640.357508
200.0207820.18470.426964
21-0.098566-0.87610.191823
22-0.221558-1.96920.026215
230.0364860.32430.373286
24-0.021979-0.19540.42281
250.123471.09740.137895
26-0.107111-0.9520.171995
270.0658020.58490.280155
28-0.069631-0.61890.268883
29-0.105718-0.93960.175133
30-0.071288-0.63360.264078
31-0.117872-1.04770.148994
32-0.123935-1.10160.136999
33-0.057407-0.51020.30565
340.0001820.00160.499358
350.1225861.08960.139609
36-0.09373-0.83310.203653
370.0279510.24840.402222
38-0.053516-0.47570.317815
39-0.015729-0.13980.444588
400.0280960.24970.401725
410.0285550.25380.400154
42-0.029702-0.2640.396233
430.1298661.15430.125935
440.0676490.60130.27469
45-0.085343-0.75850.22519
46-0.043312-0.3850.35065
47-0.017547-0.1560.438232
48-0.023013-0.20450.419228



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')