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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, 27 Nov 2007 10:02:24 -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/27/t1196182400f96q23kvttnopt2.htm/, Retrieved Sun, 05 May 2024 10:50:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6888, Retrieved Sun, 05 May 2024 10:50:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGroep Mens
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Textiel_Q2b'] [2007-11-27 17:02:24] [6aeea2896512d33d9d6591d3bc397c6f] [Current]
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Dataseries X:
99,7
99,8
99,8
99,9
99,9
99,9
100,0
99,9
99,6
99,6
98,9
99,3
99,4
100,1
99,5
99,8
100,0
99,8
99,7
99,6
100,3
100,2
100,4
100,4
99,6
99,9
100,5
100,3
100,5
99,7
98,8
99,8
99,8
99,7
99,5
99,6
99,6
100,3
99,0
99,2
99,5
98,1
100,2
100,3
100,0
97,3
96,9
96,9
96,9
96,6
96,9
97,0
97,3
97,6
96,5
97,0
96,7
96,5
99,3
99,2
97,0
101,2
101,3
101,0
100,5
100,5
100,5
101,5
101,2
101,0
101,1
100,7
101,0




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6888&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6888&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6888&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.5440
10.7777176.64480
20.6679565.7070
30.6342335.41890
40.5372314.59019e-06
50.4665573.98637.9e-05
60.3911413.34190.000657
70.263432.25070.013707
80.1984661.69570.047102
90.1322111.12960.131169
100.0070680.06040.476007
11-0.078718-0.67260.748328
12-0.231771-1.98030.974278
13-0.289015-2.46930.992062
14-0.296692-2.53490.993305
15-0.296089-2.52980.993214
16-0.314041-2.68320.995492
17-0.330171-2.8210.996919
18-0.310171-2.65010.99507
19-0.244183-2.08630.979777
20-0.288731-2.46690.992013
21-0.267047-2.28170.987286
22-0.255935-2.18670.984015
23-0.265711-2.27020.986927
24-0.203997-1.74290.957223
25-0.185967-1.58890.941798
26-0.162271-1.38640.915085
27-0.137124-1.17160.877414
28-0.141385-1.2080.884526
29-0.148271-1.26680.895379
30-0.105848-0.90440.815611
31-0.132691-1.13370.869689
32-0.135058-1.15390.873854
33-0.110229-0.94180.825298
34-0.09846-0.84120.79852
35-0.033079-0.28260.610869
36-0.016905-0.14440.557223
37-0.02798-0.23910.594135
38-0.012484-0.10670.542327
390.0058330.04980.480193
400.0083250.07110.471744
410.0218410.18660.426242
420.0166840.14260.443518
430.0146540.12520.450353
440.0131070.1120.45557
450.0213050.1820.428031
460.0250390.21390.415597
470.003350.02860.488623

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.544 & 0 \tabularnewline
1 & 0.777717 & 6.6448 & 0 \tabularnewline
2 & 0.667956 & 5.707 & 0 \tabularnewline
3 & 0.634233 & 5.4189 & 0 \tabularnewline
4 & 0.537231 & 4.5901 & 9e-06 \tabularnewline
5 & 0.466557 & 3.9863 & 7.9e-05 \tabularnewline
6 & 0.391141 & 3.3419 & 0.000657 \tabularnewline
7 & 0.26343 & 2.2507 & 0.013707 \tabularnewline
8 & 0.198466 & 1.6957 & 0.047102 \tabularnewline
9 & 0.132211 & 1.1296 & 0.131169 \tabularnewline
10 & 0.007068 & 0.0604 & 0.476007 \tabularnewline
11 & -0.078718 & -0.6726 & 0.748328 \tabularnewline
12 & -0.231771 & -1.9803 & 0.974278 \tabularnewline
13 & -0.289015 & -2.4693 & 0.992062 \tabularnewline
14 & -0.296692 & -2.5349 & 0.993305 \tabularnewline
15 & -0.296089 & -2.5298 & 0.993214 \tabularnewline
16 & -0.314041 & -2.6832 & 0.995492 \tabularnewline
17 & -0.330171 & -2.821 & 0.996919 \tabularnewline
18 & -0.310171 & -2.6501 & 0.99507 \tabularnewline
19 & -0.244183 & -2.0863 & 0.979777 \tabularnewline
20 & -0.288731 & -2.4669 & 0.992013 \tabularnewline
21 & -0.267047 & -2.2817 & 0.987286 \tabularnewline
22 & -0.255935 & -2.1867 & 0.984015 \tabularnewline
23 & -0.265711 & -2.2702 & 0.986927 \tabularnewline
24 & -0.203997 & -1.7429 & 0.957223 \tabularnewline
25 & -0.185967 & -1.5889 & 0.941798 \tabularnewline
26 & -0.162271 & -1.3864 & 0.915085 \tabularnewline
27 & -0.137124 & -1.1716 & 0.877414 \tabularnewline
28 & -0.141385 & -1.208 & 0.884526 \tabularnewline
29 & -0.148271 & -1.2668 & 0.895379 \tabularnewline
30 & -0.105848 & -0.9044 & 0.815611 \tabularnewline
31 & -0.132691 & -1.1337 & 0.869689 \tabularnewline
32 & -0.135058 & -1.1539 & 0.873854 \tabularnewline
33 & -0.110229 & -0.9418 & 0.825298 \tabularnewline
34 & -0.09846 & -0.8412 & 0.79852 \tabularnewline
35 & -0.033079 & -0.2826 & 0.610869 \tabularnewline
36 & -0.016905 & -0.1444 & 0.557223 \tabularnewline
37 & -0.02798 & -0.2391 & 0.594135 \tabularnewline
38 & -0.012484 & -0.1067 & 0.542327 \tabularnewline
39 & 0.005833 & 0.0498 & 0.480193 \tabularnewline
40 & 0.008325 & 0.0711 & 0.471744 \tabularnewline
41 & 0.021841 & 0.1866 & 0.426242 \tabularnewline
42 & 0.016684 & 0.1426 & 0.443518 \tabularnewline
43 & 0.014654 & 0.1252 & 0.450353 \tabularnewline
44 & 0.013107 & 0.112 & 0.45557 \tabularnewline
45 & 0.021305 & 0.182 & 0.428031 \tabularnewline
46 & 0.025039 & 0.2139 & 0.415597 \tabularnewline
47 & 0.00335 & 0.0286 & 0.488623 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6888&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]0.777717[/C][C]6.6448[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.667956[/C][C]5.707[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.634233[/C][C]5.4189[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.537231[/C][C]4.5901[/C][C]9e-06[/C][/ROW]
[ROW][C]5[/C][C]0.466557[/C][C]3.9863[/C][C]7.9e-05[/C][/ROW]
[ROW][C]6[/C][C]0.391141[/C][C]3.3419[/C][C]0.000657[/C][/ROW]
[ROW][C]7[/C][C]0.26343[/C][C]2.2507[/C][C]0.013707[/C][/ROW]
[ROW][C]8[/C][C]0.198466[/C][C]1.6957[/C][C]0.047102[/C][/ROW]
[ROW][C]9[/C][C]0.132211[/C][C]1.1296[/C][C]0.131169[/C][/ROW]
[ROW][C]10[/C][C]0.007068[/C][C]0.0604[/C][C]0.476007[/C][/ROW]
[ROW][C]11[/C][C]-0.078718[/C][C]-0.6726[/C][C]0.748328[/C][/ROW]
[ROW][C]12[/C][C]-0.231771[/C][C]-1.9803[/C][C]0.974278[/C][/ROW]
[ROW][C]13[/C][C]-0.289015[/C][C]-2.4693[/C][C]0.992062[/C][/ROW]
[ROW][C]14[/C][C]-0.296692[/C][C]-2.5349[/C][C]0.993305[/C][/ROW]
[ROW][C]15[/C][C]-0.296089[/C][C]-2.5298[/C][C]0.993214[/C][/ROW]
[ROW][C]16[/C][C]-0.314041[/C][C]-2.6832[/C][C]0.995492[/C][/ROW]
[ROW][C]17[/C][C]-0.330171[/C][C]-2.821[/C][C]0.996919[/C][/ROW]
[ROW][C]18[/C][C]-0.310171[/C][C]-2.6501[/C][C]0.99507[/C][/ROW]
[ROW][C]19[/C][C]-0.244183[/C][C]-2.0863[/C][C]0.979777[/C][/ROW]
[ROW][C]20[/C][C]-0.288731[/C][C]-2.4669[/C][C]0.992013[/C][/ROW]
[ROW][C]21[/C][C]-0.267047[/C][C]-2.2817[/C][C]0.987286[/C][/ROW]
[ROW][C]22[/C][C]-0.255935[/C][C]-2.1867[/C][C]0.984015[/C][/ROW]
[ROW][C]23[/C][C]-0.265711[/C][C]-2.2702[/C][C]0.986927[/C][/ROW]
[ROW][C]24[/C][C]-0.203997[/C][C]-1.7429[/C][C]0.957223[/C][/ROW]
[ROW][C]25[/C][C]-0.185967[/C][C]-1.5889[/C][C]0.941798[/C][/ROW]
[ROW][C]26[/C][C]-0.162271[/C][C]-1.3864[/C][C]0.915085[/C][/ROW]
[ROW][C]27[/C][C]-0.137124[/C][C]-1.1716[/C][C]0.877414[/C][/ROW]
[ROW][C]28[/C][C]-0.141385[/C][C]-1.208[/C][C]0.884526[/C][/ROW]
[ROW][C]29[/C][C]-0.148271[/C][C]-1.2668[/C][C]0.895379[/C][/ROW]
[ROW][C]30[/C][C]-0.105848[/C][C]-0.9044[/C][C]0.815611[/C][/ROW]
[ROW][C]31[/C][C]-0.132691[/C][C]-1.1337[/C][C]0.869689[/C][/ROW]
[ROW][C]32[/C][C]-0.135058[/C][C]-1.1539[/C][C]0.873854[/C][/ROW]
[ROW][C]33[/C][C]-0.110229[/C][C]-0.9418[/C][C]0.825298[/C][/ROW]
[ROW][C]34[/C][C]-0.09846[/C][C]-0.8412[/C][C]0.79852[/C][/ROW]
[ROW][C]35[/C][C]-0.033079[/C][C]-0.2826[/C][C]0.610869[/C][/ROW]
[ROW][C]36[/C][C]-0.016905[/C][C]-0.1444[/C][C]0.557223[/C][/ROW]
[ROW][C]37[/C][C]-0.02798[/C][C]-0.2391[/C][C]0.594135[/C][/ROW]
[ROW][C]38[/C][C]-0.012484[/C][C]-0.1067[/C][C]0.542327[/C][/ROW]
[ROW][C]39[/C][C]0.005833[/C][C]0.0498[/C][C]0.480193[/C][/ROW]
[ROW][C]40[/C][C]0.008325[/C][C]0.0711[/C][C]0.471744[/C][/ROW]
[ROW][C]41[/C][C]0.021841[/C][C]0.1866[/C][C]0.426242[/C][/ROW]
[ROW][C]42[/C][C]0.016684[/C][C]0.1426[/C][C]0.443518[/C][/ROW]
[ROW][C]43[/C][C]0.014654[/C][C]0.1252[/C][C]0.450353[/C][/ROW]
[ROW][C]44[/C][C]0.013107[/C][C]0.112[/C][C]0.45557[/C][/ROW]
[ROW][C]45[/C][C]0.021305[/C][C]0.182[/C][C]0.428031[/C][/ROW]
[ROW][C]46[/C][C]0.025039[/C][C]0.2139[/C][C]0.415597[/C][/ROW]
[ROW][C]47[/C][C]0.00335[/C][C]0.0286[/C][C]0.488623[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6888&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6888&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
10.7777176.64480
20.6679565.7070
30.6342335.41890
40.5372314.59019e-06
50.4665573.98637.9e-05
60.3911413.34190.000657
70.263432.25070.013707
80.1984661.69570.047102
90.1322111.12960.131169
100.0070680.06040.476007
11-0.078718-0.67260.748328
12-0.231771-1.98030.974278
13-0.289015-2.46930.992062
14-0.296692-2.53490.993305
15-0.296089-2.52980.993214
16-0.314041-2.68320.995492
17-0.330171-2.8210.996919
18-0.310171-2.65010.99507
19-0.244183-2.08630.979777
20-0.288731-2.46690.992013
21-0.267047-2.28170.987286
22-0.255935-2.18670.984015
23-0.265711-2.27020.986927
24-0.203997-1.74290.957223
25-0.185967-1.58890.941798
26-0.162271-1.38640.915085
27-0.137124-1.17160.877414
28-0.141385-1.2080.884526
29-0.148271-1.26680.895379
30-0.105848-0.90440.815611
31-0.132691-1.13370.869689
32-0.135058-1.15390.873854
33-0.110229-0.94180.825298
34-0.09846-0.84120.79852
35-0.033079-0.28260.610869
36-0.016905-0.14440.557223
37-0.02798-0.23910.594135
38-0.012484-0.10670.542327
390.0058330.04980.480193
400.0083250.07110.471744
410.0218410.18660.426242
420.0166840.14260.443518
430.0146540.12520.450353
440.0131070.1120.45557
450.0213050.1820.428031
460.0250390.21390.415597
470.003350.02860.488623







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.7777176.64480
10.1597151.36460.088284
20.190891.6310.053602
3-0.080103-0.68440.752057
40.0030950.02640.489486
5-0.072967-0.62340.732528
6-0.179264-1.53160.935033
7-0.004032-0.03440.513693
8-0.05042-0.43080.666054
9-0.162544-1.38880.915438
10-0.08442-0.72130.76348
11-0.306519-2.61890.994639
120.0529760.45260.326079
130.0471850.40310.34401
140.1852981.58320.058851
150.0304170.25990.397844
16-0.032153-0.27470.607845
170.0630690.53890.295811
180.1100490.94030.175092
19-0.235567-2.01270.976082
200.0713220.60940.272083
21-0.216272-1.84780.965661
22-0.073044-0.62410.732742
23-0.092114-0.7870.783093
24-0.105245-0.89920.814253
250.0925910.79110.215724
26-0.023065-0.19710.57784
27-0.024609-0.21030.582973
280.0081740.06980.472256
290.0164850.14090.444187
300.0948110.81010.210268
31-0.092704-0.79210.784555
320.0166630.14240.443591
33-0.051642-0.44120.669825
340.101430.86660.194495
35-0.048513-0.41450.660135
36-0.106138-0.90680.816264
37-0.059299-0.50670.693037
380.0388890.33230.37032
39-0.123207-1.05270.852021
400.0057970.04950.480315
41-0.07845-0.67030.747602
42-0.014688-0.12550.549762
43-0.084953-0.72580.764871
44-0.045192-0.38610.649734
450.0311080.26580.395577
460.0616830.5270.299889
470.0738270.63080.265078

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.777717 & 6.6448 & 0 \tabularnewline
1 & 0.159715 & 1.3646 & 0.088284 \tabularnewline
2 & 0.19089 & 1.631 & 0.053602 \tabularnewline
3 & -0.080103 & -0.6844 & 0.752057 \tabularnewline
4 & 0.003095 & 0.0264 & 0.489486 \tabularnewline
5 & -0.072967 & -0.6234 & 0.732528 \tabularnewline
6 & -0.179264 & -1.5316 & 0.935033 \tabularnewline
7 & -0.004032 & -0.0344 & 0.513693 \tabularnewline
8 & -0.05042 & -0.4308 & 0.666054 \tabularnewline
9 & -0.162544 & -1.3888 & 0.915438 \tabularnewline
10 & -0.08442 & -0.7213 & 0.76348 \tabularnewline
11 & -0.306519 & -2.6189 & 0.994639 \tabularnewline
12 & 0.052976 & 0.4526 & 0.326079 \tabularnewline
13 & 0.047185 & 0.4031 & 0.34401 \tabularnewline
14 & 0.185298 & 1.5832 & 0.058851 \tabularnewline
15 & 0.030417 & 0.2599 & 0.397844 \tabularnewline
16 & -0.032153 & -0.2747 & 0.607845 \tabularnewline
17 & 0.063069 & 0.5389 & 0.295811 \tabularnewline
18 & 0.110049 & 0.9403 & 0.175092 \tabularnewline
19 & -0.235567 & -2.0127 & 0.976082 \tabularnewline
20 & 0.071322 & 0.6094 & 0.272083 \tabularnewline
21 & -0.216272 & -1.8478 & 0.965661 \tabularnewline
22 & -0.073044 & -0.6241 & 0.732742 \tabularnewline
23 & -0.092114 & -0.787 & 0.783093 \tabularnewline
24 & -0.105245 & -0.8992 & 0.814253 \tabularnewline
25 & 0.092591 & 0.7911 & 0.215724 \tabularnewline
26 & -0.023065 & -0.1971 & 0.57784 \tabularnewline
27 & -0.024609 & -0.2103 & 0.582973 \tabularnewline
28 & 0.008174 & 0.0698 & 0.472256 \tabularnewline
29 & 0.016485 & 0.1409 & 0.444187 \tabularnewline
30 & 0.094811 & 0.8101 & 0.210268 \tabularnewline
31 & -0.092704 & -0.7921 & 0.784555 \tabularnewline
32 & 0.016663 & 0.1424 & 0.443591 \tabularnewline
33 & -0.051642 & -0.4412 & 0.669825 \tabularnewline
34 & 0.10143 & 0.8666 & 0.194495 \tabularnewline
35 & -0.048513 & -0.4145 & 0.660135 \tabularnewline
36 & -0.106138 & -0.9068 & 0.816264 \tabularnewline
37 & -0.059299 & -0.5067 & 0.693037 \tabularnewline
38 & 0.038889 & 0.3323 & 0.37032 \tabularnewline
39 & -0.123207 & -1.0527 & 0.852021 \tabularnewline
40 & 0.005797 & 0.0495 & 0.480315 \tabularnewline
41 & -0.07845 & -0.6703 & 0.747602 \tabularnewline
42 & -0.014688 & -0.1255 & 0.549762 \tabularnewline
43 & -0.084953 & -0.7258 & 0.764871 \tabularnewline
44 & -0.045192 & -0.3861 & 0.649734 \tabularnewline
45 & 0.031108 & 0.2658 & 0.395577 \tabularnewline
46 & 0.061683 & 0.527 & 0.299889 \tabularnewline
47 & 0.073827 & 0.6308 & 0.265078 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6888&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]0.777717[/C][C]6.6448[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.159715[/C][C]1.3646[/C][C]0.088284[/C][/ROW]
[ROW][C]2[/C][C]0.19089[/C][C]1.631[/C][C]0.053602[/C][/ROW]
[ROW][C]3[/C][C]-0.080103[/C][C]-0.6844[/C][C]0.752057[/C][/ROW]
[ROW][C]4[/C][C]0.003095[/C][C]0.0264[/C][C]0.489486[/C][/ROW]
[ROW][C]5[/C][C]-0.072967[/C][C]-0.6234[/C][C]0.732528[/C][/ROW]
[ROW][C]6[/C][C]-0.179264[/C][C]-1.5316[/C][C]0.935033[/C][/ROW]
[ROW][C]7[/C][C]-0.004032[/C][C]-0.0344[/C][C]0.513693[/C][/ROW]
[ROW][C]8[/C][C]-0.05042[/C][C]-0.4308[/C][C]0.666054[/C][/ROW]
[ROW][C]9[/C][C]-0.162544[/C][C]-1.3888[/C][C]0.915438[/C][/ROW]
[ROW][C]10[/C][C]-0.08442[/C][C]-0.7213[/C][C]0.76348[/C][/ROW]
[ROW][C]11[/C][C]-0.306519[/C][C]-2.6189[/C][C]0.994639[/C][/ROW]
[ROW][C]12[/C][C]0.052976[/C][C]0.4526[/C][C]0.326079[/C][/ROW]
[ROW][C]13[/C][C]0.047185[/C][C]0.4031[/C][C]0.34401[/C][/ROW]
[ROW][C]14[/C][C]0.185298[/C][C]1.5832[/C][C]0.058851[/C][/ROW]
[ROW][C]15[/C][C]0.030417[/C][C]0.2599[/C][C]0.397844[/C][/ROW]
[ROW][C]16[/C][C]-0.032153[/C][C]-0.2747[/C][C]0.607845[/C][/ROW]
[ROW][C]17[/C][C]0.063069[/C][C]0.5389[/C][C]0.295811[/C][/ROW]
[ROW][C]18[/C][C]0.110049[/C][C]0.9403[/C][C]0.175092[/C][/ROW]
[ROW][C]19[/C][C]-0.235567[/C][C]-2.0127[/C][C]0.976082[/C][/ROW]
[ROW][C]20[/C][C]0.071322[/C][C]0.6094[/C][C]0.272083[/C][/ROW]
[ROW][C]21[/C][C]-0.216272[/C][C]-1.8478[/C][C]0.965661[/C][/ROW]
[ROW][C]22[/C][C]-0.073044[/C][C]-0.6241[/C][C]0.732742[/C][/ROW]
[ROW][C]23[/C][C]-0.092114[/C][C]-0.787[/C][C]0.783093[/C][/ROW]
[ROW][C]24[/C][C]-0.105245[/C][C]-0.8992[/C][C]0.814253[/C][/ROW]
[ROW][C]25[/C][C]0.092591[/C][C]0.7911[/C][C]0.215724[/C][/ROW]
[ROW][C]26[/C][C]-0.023065[/C][C]-0.1971[/C][C]0.57784[/C][/ROW]
[ROW][C]27[/C][C]-0.024609[/C][C]-0.2103[/C][C]0.582973[/C][/ROW]
[ROW][C]28[/C][C]0.008174[/C][C]0.0698[/C][C]0.472256[/C][/ROW]
[ROW][C]29[/C][C]0.016485[/C][C]0.1409[/C][C]0.444187[/C][/ROW]
[ROW][C]30[/C][C]0.094811[/C][C]0.8101[/C][C]0.210268[/C][/ROW]
[ROW][C]31[/C][C]-0.092704[/C][C]-0.7921[/C][C]0.784555[/C][/ROW]
[ROW][C]32[/C][C]0.016663[/C][C]0.1424[/C][C]0.443591[/C][/ROW]
[ROW][C]33[/C][C]-0.051642[/C][C]-0.4412[/C][C]0.669825[/C][/ROW]
[ROW][C]34[/C][C]0.10143[/C][C]0.8666[/C][C]0.194495[/C][/ROW]
[ROW][C]35[/C][C]-0.048513[/C][C]-0.4145[/C][C]0.660135[/C][/ROW]
[ROW][C]36[/C][C]-0.106138[/C][C]-0.9068[/C][C]0.816264[/C][/ROW]
[ROW][C]37[/C][C]-0.059299[/C][C]-0.5067[/C][C]0.693037[/C][/ROW]
[ROW][C]38[/C][C]0.038889[/C][C]0.3323[/C][C]0.37032[/C][/ROW]
[ROW][C]39[/C][C]-0.123207[/C][C]-1.0527[/C][C]0.852021[/C][/ROW]
[ROW][C]40[/C][C]0.005797[/C][C]0.0495[/C][C]0.480315[/C][/ROW]
[ROW][C]41[/C][C]-0.07845[/C][C]-0.6703[/C][C]0.747602[/C][/ROW]
[ROW][C]42[/C][C]-0.014688[/C][C]-0.1255[/C][C]0.549762[/C][/ROW]
[ROW][C]43[/C][C]-0.084953[/C][C]-0.7258[/C][C]0.764871[/C][/ROW]
[ROW][C]44[/C][C]-0.045192[/C][C]-0.3861[/C][C]0.649734[/C][/ROW]
[ROW][C]45[/C][C]0.031108[/C][C]0.2658[/C][C]0.395577[/C][/ROW]
[ROW][C]46[/C][C]0.061683[/C][C]0.527[/C][C]0.299889[/C][/ROW]
[ROW][C]47[/C][C]0.073827[/C][C]0.6308[/C][C]0.265078[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6888&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6888&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
00.7777176.64480
10.1597151.36460.088284
20.190891.6310.053602
3-0.080103-0.68440.752057
40.0030950.02640.489486
5-0.072967-0.62340.732528
6-0.179264-1.53160.935033
7-0.004032-0.03440.513693
8-0.05042-0.43080.666054
9-0.162544-1.38880.915438
10-0.08442-0.72130.76348
11-0.306519-2.61890.994639
120.0529760.45260.326079
130.0471850.40310.34401
140.1852981.58320.058851
150.0304170.25990.397844
16-0.032153-0.27470.607845
170.0630690.53890.295811
180.1100490.94030.175092
19-0.235567-2.01270.976082
200.0713220.60940.272083
21-0.216272-1.84780.965661
22-0.073044-0.62410.732742
23-0.092114-0.7870.783093
24-0.105245-0.89920.814253
250.0925910.79110.215724
26-0.023065-0.19710.57784
27-0.024609-0.21030.582973
280.0081740.06980.472256
290.0164850.14090.444187
300.0948110.81010.210268
31-0.092704-0.79210.784555
320.0166630.14240.443591
33-0.051642-0.44120.669825
340.101430.86660.194495
35-0.048513-0.41450.660135
36-0.106138-0.90680.816264
37-0.059299-0.50670.693037
380.0388890.33230.37032
39-0.123207-1.05270.852021
400.0057970.04950.480315
41-0.07845-0.67030.747602
42-0.014688-0.12550.549762
43-0.084953-0.72580.764871
44-0.045192-0.38610.649734
450.0311080.26580.395577
460.0616830.5270.299889
470.0738270.63080.265078



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