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 computationTue, 15 Nov 2011 11:30:51 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t1321374732rla57lqygq5qbnu.htm/, Retrieved Fri, 29 Mar 2024 01:40:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143160, Retrieved Fri, 29 Mar 2024 01:40:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorrelatie pr...] [2011-11-15 16:27:30] [8970471211ece064523ec252a60bb336]
- R PD    [(Partial) Autocorrelation Function] [gedifferentieerde...] [2011-11-15 16:30:51] [6e376bb9389cce432e10fa4d58960065] [Current]
Feedback Forum

Post a new message
Dataseries X:
2.2
2.28
2.28
2.28
2.28
2.27
2.28
2.27
2.28
2.28
2.28
2.28
2.27
2.28
2.28
2.28
2.27
2.28
2.27
2.27
2.27
2.27
2.27
2.27
2.27
2.35
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143160&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143160&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143160&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0673850.61390.270479
2-0.042635-0.38840.349347
3-0.047054-0.42870.334634
4-0.051472-0.46890.320175
5-0.041258-0.37590.353983
6-0.054186-0.49370.311426
7-0.047033-0.42850.3347
8-0.058431-0.53230.29796
9-0.039127-0.35650.3612
10-0.066502-0.60590.273131
11-0.035913-0.32720.372177
12-0.022638-0.20620.418552
13-0.024088-0.21950.413419
14-0.048402-0.4410.330193
15-0.040576-0.36970.356286
16-0.029598-0.26960.39405
17-0.035638-0.32470.37312
18-0.028486-0.25950.397939
19-0.045913-0.41830.338409
20-0.02967-0.27030.393799
21-0.053219-0.48480.314532
22-0.039271-0.35780.360709
230.134611.22640.111767
240.3299173.00570.001752
250.0806520.73480.232273
26-0.023467-0.21380.415616
27-0.024059-0.21920.413521
28-0.024651-0.22460.411429
29-0.025243-0.230.409339
30-0.025835-0.23540.407252
31-0.03561-0.32440.373219
32-0.017836-0.16250.435656
33-0.036793-0.33520.369159
34-0.028203-0.25690.398931
35-0.020718-0.18880.425374
36-0.012127-0.11050.456146
37-0.031085-0.28320.388866
38-0.022494-0.20490.419064
39-0.023086-0.21030.416966
40-0.023678-0.21570.414869
41-0.015087-0.13740.445504
42-0.034044-0.31020.378608
43-0.016271-0.14820.441258
44-0.035228-0.32090.374529
45-0.026638-0.24270.404426
46-0.02723-0.24810.402345
470.3647423.3230.000663
480.2103391.91630.029386

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.067385 & 0.6139 & 0.270479 \tabularnewline
2 & -0.042635 & -0.3884 & 0.349347 \tabularnewline
3 & -0.047054 & -0.4287 & 0.334634 \tabularnewline
4 & -0.051472 & -0.4689 & 0.320175 \tabularnewline
5 & -0.041258 & -0.3759 & 0.353983 \tabularnewline
6 & -0.054186 & -0.4937 & 0.311426 \tabularnewline
7 & -0.047033 & -0.4285 & 0.3347 \tabularnewline
8 & -0.058431 & -0.5323 & 0.29796 \tabularnewline
9 & -0.039127 & -0.3565 & 0.3612 \tabularnewline
10 & -0.066502 & -0.6059 & 0.273131 \tabularnewline
11 & -0.035913 & -0.3272 & 0.372177 \tabularnewline
12 & -0.022638 & -0.2062 & 0.418552 \tabularnewline
13 & -0.024088 & -0.2195 & 0.413419 \tabularnewline
14 & -0.048402 & -0.441 & 0.330193 \tabularnewline
15 & -0.040576 & -0.3697 & 0.356286 \tabularnewline
16 & -0.029598 & -0.2696 & 0.39405 \tabularnewline
17 & -0.035638 & -0.3247 & 0.37312 \tabularnewline
18 & -0.028486 & -0.2595 & 0.397939 \tabularnewline
19 & -0.045913 & -0.4183 & 0.338409 \tabularnewline
20 & -0.02967 & -0.2703 & 0.393799 \tabularnewline
21 & -0.053219 & -0.4848 & 0.314532 \tabularnewline
22 & -0.039271 & -0.3578 & 0.360709 \tabularnewline
23 & 0.13461 & 1.2264 & 0.111767 \tabularnewline
24 & 0.329917 & 3.0057 & 0.001752 \tabularnewline
25 & 0.080652 & 0.7348 & 0.232273 \tabularnewline
26 & -0.023467 & -0.2138 & 0.415616 \tabularnewline
27 & -0.024059 & -0.2192 & 0.413521 \tabularnewline
28 & -0.024651 & -0.2246 & 0.411429 \tabularnewline
29 & -0.025243 & -0.23 & 0.409339 \tabularnewline
30 & -0.025835 & -0.2354 & 0.407252 \tabularnewline
31 & -0.03561 & -0.3244 & 0.373219 \tabularnewline
32 & -0.017836 & -0.1625 & 0.435656 \tabularnewline
33 & -0.036793 & -0.3352 & 0.369159 \tabularnewline
34 & -0.028203 & -0.2569 & 0.398931 \tabularnewline
35 & -0.020718 & -0.1888 & 0.425374 \tabularnewline
36 & -0.012127 & -0.1105 & 0.456146 \tabularnewline
37 & -0.031085 & -0.2832 & 0.388866 \tabularnewline
38 & -0.022494 & -0.2049 & 0.419064 \tabularnewline
39 & -0.023086 & -0.2103 & 0.416966 \tabularnewline
40 & -0.023678 & -0.2157 & 0.414869 \tabularnewline
41 & -0.015087 & -0.1374 & 0.445504 \tabularnewline
42 & -0.034044 & -0.3102 & 0.378608 \tabularnewline
43 & -0.016271 & -0.1482 & 0.441258 \tabularnewline
44 & -0.035228 & -0.3209 & 0.374529 \tabularnewline
45 & -0.026638 & -0.2427 & 0.404426 \tabularnewline
46 & -0.02723 & -0.2481 & 0.402345 \tabularnewline
47 & 0.364742 & 3.323 & 0.000663 \tabularnewline
48 & 0.210339 & 1.9163 & 0.029386 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143160&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]0.067385[/C][C]0.6139[/C][C]0.270479[/C][/ROW]
[ROW][C]2[/C][C]-0.042635[/C][C]-0.3884[/C][C]0.349347[/C][/ROW]
[ROW][C]3[/C][C]-0.047054[/C][C]-0.4287[/C][C]0.334634[/C][/ROW]
[ROW][C]4[/C][C]-0.051472[/C][C]-0.4689[/C][C]0.320175[/C][/ROW]
[ROW][C]5[/C][C]-0.041258[/C][C]-0.3759[/C][C]0.353983[/C][/ROW]
[ROW][C]6[/C][C]-0.054186[/C][C]-0.4937[/C][C]0.311426[/C][/ROW]
[ROW][C]7[/C][C]-0.047033[/C][C]-0.4285[/C][C]0.3347[/C][/ROW]
[ROW][C]8[/C][C]-0.058431[/C][C]-0.5323[/C][C]0.29796[/C][/ROW]
[ROW][C]9[/C][C]-0.039127[/C][C]-0.3565[/C][C]0.3612[/C][/ROW]
[ROW][C]10[/C][C]-0.066502[/C][C]-0.6059[/C][C]0.273131[/C][/ROW]
[ROW][C]11[/C][C]-0.035913[/C][C]-0.3272[/C][C]0.372177[/C][/ROW]
[ROW][C]12[/C][C]-0.022638[/C][C]-0.2062[/C][C]0.418552[/C][/ROW]
[ROW][C]13[/C][C]-0.024088[/C][C]-0.2195[/C][C]0.413419[/C][/ROW]
[ROW][C]14[/C][C]-0.048402[/C][C]-0.441[/C][C]0.330193[/C][/ROW]
[ROW][C]15[/C][C]-0.040576[/C][C]-0.3697[/C][C]0.356286[/C][/ROW]
[ROW][C]16[/C][C]-0.029598[/C][C]-0.2696[/C][C]0.39405[/C][/ROW]
[ROW][C]17[/C][C]-0.035638[/C][C]-0.3247[/C][C]0.37312[/C][/ROW]
[ROW][C]18[/C][C]-0.028486[/C][C]-0.2595[/C][C]0.397939[/C][/ROW]
[ROW][C]19[/C][C]-0.045913[/C][C]-0.4183[/C][C]0.338409[/C][/ROW]
[ROW][C]20[/C][C]-0.02967[/C][C]-0.2703[/C][C]0.393799[/C][/ROW]
[ROW][C]21[/C][C]-0.053219[/C][C]-0.4848[/C][C]0.314532[/C][/ROW]
[ROW][C]22[/C][C]-0.039271[/C][C]-0.3578[/C][C]0.360709[/C][/ROW]
[ROW][C]23[/C][C]0.13461[/C][C]1.2264[/C][C]0.111767[/C][/ROW]
[ROW][C]24[/C][C]0.329917[/C][C]3.0057[/C][C]0.001752[/C][/ROW]
[ROW][C]25[/C][C]0.080652[/C][C]0.7348[/C][C]0.232273[/C][/ROW]
[ROW][C]26[/C][C]-0.023467[/C][C]-0.2138[/C][C]0.415616[/C][/ROW]
[ROW][C]27[/C][C]-0.024059[/C][C]-0.2192[/C][C]0.413521[/C][/ROW]
[ROW][C]28[/C][C]-0.024651[/C][C]-0.2246[/C][C]0.411429[/C][/ROW]
[ROW][C]29[/C][C]-0.025243[/C][C]-0.23[/C][C]0.409339[/C][/ROW]
[ROW][C]30[/C][C]-0.025835[/C][C]-0.2354[/C][C]0.407252[/C][/ROW]
[ROW][C]31[/C][C]-0.03561[/C][C]-0.3244[/C][C]0.373219[/C][/ROW]
[ROW][C]32[/C][C]-0.017836[/C][C]-0.1625[/C][C]0.435656[/C][/ROW]
[ROW][C]33[/C][C]-0.036793[/C][C]-0.3352[/C][C]0.369159[/C][/ROW]
[ROW][C]34[/C][C]-0.028203[/C][C]-0.2569[/C][C]0.398931[/C][/ROW]
[ROW][C]35[/C][C]-0.020718[/C][C]-0.1888[/C][C]0.425374[/C][/ROW]
[ROW][C]36[/C][C]-0.012127[/C][C]-0.1105[/C][C]0.456146[/C][/ROW]
[ROW][C]37[/C][C]-0.031085[/C][C]-0.2832[/C][C]0.388866[/C][/ROW]
[ROW][C]38[/C][C]-0.022494[/C][C]-0.2049[/C][C]0.419064[/C][/ROW]
[ROW][C]39[/C][C]-0.023086[/C][C]-0.2103[/C][C]0.416966[/C][/ROW]
[ROW][C]40[/C][C]-0.023678[/C][C]-0.2157[/C][C]0.414869[/C][/ROW]
[ROW][C]41[/C][C]-0.015087[/C][C]-0.1374[/C][C]0.445504[/C][/ROW]
[ROW][C]42[/C][C]-0.034044[/C][C]-0.3102[/C][C]0.378608[/C][/ROW]
[ROW][C]43[/C][C]-0.016271[/C][C]-0.1482[/C][C]0.441258[/C][/ROW]
[ROW][C]44[/C][C]-0.035228[/C][C]-0.3209[/C][C]0.374529[/C][/ROW]
[ROW][C]45[/C][C]-0.026638[/C][C]-0.2427[/C][C]0.404426[/C][/ROW]
[ROW][C]46[/C][C]-0.02723[/C][C]-0.2481[/C][C]0.402345[/C][/ROW]
[ROW][C]47[/C][C]0.364742[/C][C]3.323[/C][C]0.000663[/C][/ROW]
[ROW][C]48[/C][C]0.210339[/C][C]1.9163[/C][C]0.029386[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143160&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143160&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
10.0673850.61390.270479
2-0.042635-0.38840.349347
3-0.047054-0.42870.334634
4-0.051472-0.46890.320175
5-0.041258-0.37590.353983
6-0.054186-0.49370.311426
7-0.047033-0.42850.3347
8-0.058431-0.53230.29796
9-0.039127-0.35650.3612
10-0.066502-0.60590.273131
11-0.035913-0.32720.372177
12-0.022638-0.20620.418552
13-0.024088-0.21950.413419
14-0.048402-0.4410.330193
15-0.040576-0.36970.356286
16-0.029598-0.26960.39405
17-0.035638-0.32470.37312
18-0.028486-0.25950.397939
19-0.045913-0.41830.338409
20-0.02967-0.27030.393799
21-0.053219-0.48480.314532
22-0.039271-0.35780.360709
230.134611.22640.111767
240.3299173.00570.001752
250.0806520.73480.232273
26-0.023467-0.21380.415616
27-0.024059-0.21920.413521
28-0.024651-0.22460.411429
29-0.025243-0.230.409339
30-0.025835-0.23540.407252
31-0.03561-0.32440.373219
32-0.017836-0.16250.435656
33-0.036793-0.33520.369159
34-0.028203-0.25690.398931
35-0.020718-0.18880.425374
36-0.012127-0.11050.456146
37-0.031085-0.28320.388866
38-0.022494-0.20490.419064
39-0.023086-0.21030.416966
40-0.023678-0.21570.414869
41-0.015087-0.13740.445504
42-0.034044-0.31020.378608
43-0.016271-0.14820.441258
44-0.035228-0.32090.374529
45-0.026638-0.24270.404426
46-0.02723-0.24810.402345
470.3647423.3230.000663
480.2103391.91630.029386







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0673850.61390.270479
2-0.047391-0.43180.333519
3-0.04113-0.37470.354416
4-0.047772-0.43520.332266
5-0.038831-0.35380.362205
6-0.055845-0.50880.306131
7-0.048617-0.44290.329489
8-0.064728-0.58970.278497
9-0.046435-0.4230.336678
10-0.08154-0.74290.229829
11-0.049667-0.45250.326049
12-0.046509-0.42370.336433
13-0.051331-0.46770.32063
14-0.07931-0.72250.235994
15-0.071126-0.6480.259392
16-0.068741-0.62630.266433
17-0.081144-0.73930.230918
18-0.080129-0.730.233721
19-0.105435-0.96060.169783
20-0.09751-0.88840.188457
21-0.136941-1.24760.107845
22-0.136785-1.24620.108104
230.0343780.31320.377459
240.2470942.25110.01351
250.0121690.11090.455996
26-0.045522-0.41470.339706
27-0.036779-0.33510.369207
28-0.036044-0.32840.371727
29-0.0417-0.37990.352492
30-0.033408-0.30440.380807
31-0.045144-0.41130.340963
32-0.022799-0.20770.417984
33-0.050518-0.46020.323273
34-0.028794-0.26230.396859
35-0.040555-0.36950.356358
36-0.045533-0.41480.33967
37-0.067528-0.61520.27005
38-0.04536-0.41330.340243
39-0.055235-0.50320.308074
40-0.065771-0.59920.275335
41-0.060847-0.55430.290417
42-0.083986-0.76520.223176
43-0.063956-0.58270.280848
44-0.094546-0.86140.195761
45-0.077633-0.70730.240691
46-0.116703-1.06320.145384
470.2636232.40170.009276
480.0636420.57980.281807

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.067385 & 0.6139 & 0.270479 \tabularnewline
2 & -0.047391 & -0.4318 & 0.333519 \tabularnewline
3 & -0.04113 & -0.3747 & 0.354416 \tabularnewline
4 & -0.047772 & -0.4352 & 0.332266 \tabularnewline
5 & -0.038831 & -0.3538 & 0.362205 \tabularnewline
6 & -0.055845 & -0.5088 & 0.306131 \tabularnewline
7 & -0.048617 & -0.4429 & 0.329489 \tabularnewline
8 & -0.064728 & -0.5897 & 0.278497 \tabularnewline
9 & -0.046435 & -0.423 & 0.336678 \tabularnewline
10 & -0.08154 & -0.7429 & 0.229829 \tabularnewline
11 & -0.049667 & -0.4525 & 0.326049 \tabularnewline
12 & -0.046509 & -0.4237 & 0.336433 \tabularnewline
13 & -0.051331 & -0.4677 & 0.32063 \tabularnewline
14 & -0.07931 & -0.7225 & 0.235994 \tabularnewline
15 & -0.071126 & -0.648 & 0.259392 \tabularnewline
16 & -0.068741 & -0.6263 & 0.266433 \tabularnewline
17 & -0.081144 & -0.7393 & 0.230918 \tabularnewline
18 & -0.080129 & -0.73 & 0.233721 \tabularnewline
19 & -0.105435 & -0.9606 & 0.169783 \tabularnewline
20 & -0.09751 & -0.8884 & 0.188457 \tabularnewline
21 & -0.136941 & -1.2476 & 0.107845 \tabularnewline
22 & -0.136785 & -1.2462 & 0.108104 \tabularnewline
23 & 0.034378 & 0.3132 & 0.377459 \tabularnewline
24 & 0.247094 & 2.2511 & 0.01351 \tabularnewline
25 & 0.012169 & 0.1109 & 0.455996 \tabularnewline
26 & -0.045522 & -0.4147 & 0.339706 \tabularnewline
27 & -0.036779 & -0.3351 & 0.369207 \tabularnewline
28 & -0.036044 & -0.3284 & 0.371727 \tabularnewline
29 & -0.0417 & -0.3799 & 0.352492 \tabularnewline
30 & -0.033408 & -0.3044 & 0.380807 \tabularnewline
31 & -0.045144 & -0.4113 & 0.340963 \tabularnewline
32 & -0.022799 & -0.2077 & 0.417984 \tabularnewline
33 & -0.050518 & -0.4602 & 0.323273 \tabularnewline
34 & -0.028794 & -0.2623 & 0.396859 \tabularnewline
35 & -0.040555 & -0.3695 & 0.356358 \tabularnewline
36 & -0.045533 & -0.4148 & 0.33967 \tabularnewline
37 & -0.067528 & -0.6152 & 0.27005 \tabularnewline
38 & -0.04536 & -0.4133 & 0.340243 \tabularnewline
39 & -0.055235 & -0.5032 & 0.308074 \tabularnewline
40 & -0.065771 & -0.5992 & 0.275335 \tabularnewline
41 & -0.060847 & -0.5543 & 0.290417 \tabularnewline
42 & -0.083986 & -0.7652 & 0.223176 \tabularnewline
43 & -0.063956 & -0.5827 & 0.280848 \tabularnewline
44 & -0.094546 & -0.8614 & 0.195761 \tabularnewline
45 & -0.077633 & -0.7073 & 0.240691 \tabularnewline
46 & -0.116703 & -1.0632 & 0.145384 \tabularnewline
47 & 0.263623 & 2.4017 & 0.009276 \tabularnewline
48 & 0.063642 & 0.5798 & 0.281807 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143160&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]0.067385[/C][C]0.6139[/C][C]0.270479[/C][/ROW]
[ROW][C]2[/C][C]-0.047391[/C][C]-0.4318[/C][C]0.333519[/C][/ROW]
[ROW][C]3[/C][C]-0.04113[/C][C]-0.3747[/C][C]0.354416[/C][/ROW]
[ROW][C]4[/C][C]-0.047772[/C][C]-0.4352[/C][C]0.332266[/C][/ROW]
[ROW][C]5[/C][C]-0.038831[/C][C]-0.3538[/C][C]0.362205[/C][/ROW]
[ROW][C]6[/C][C]-0.055845[/C][C]-0.5088[/C][C]0.306131[/C][/ROW]
[ROW][C]7[/C][C]-0.048617[/C][C]-0.4429[/C][C]0.329489[/C][/ROW]
[ROW][C]8[/C][C]-0.064728[/C][C]-0.5897[/C][C]0.278497[/C][/ROW]
[ROW][C]9[/C][C]-0.046435[/C][C]-0.423[/C][C]0.336678[/C][/ROW]
[ROW][C]10[/C][C]-0.08154[/C][C]-0.7429[/C][C]0.229829[/C][/ROW]
[ROW][C]11[/C][C]-0.049667[/C][C]-0.4525[/C][C]0.326049[/C][/ROW]
[ROW][C]12[/C][C]-0.046509[/C][C]-0.4237[/C][C]0.336433[/C][/ROW]
[ROW][C]13[/C][C]-0.051331[/C][C]-0.4677[/C][C]0.32063[/C][/ROW]
[ROW][C]14[/C][C]-0.07931[/C][C]-0.7225[/C][C]0.235994[/C][/ROW]
[ROW][C]15[/C][C]-0.071126[/C][C]-0.648[/C][C]0.259392[/C][/ROW]
[ROW][C]16[/C][C]-0.068741[/C][C]-0.6263[/C][C]0.266433[/C][/ROW]
[ROW][C]17[/C][C]-0.081144[/C][C]-0.7393[/C][C]0.230918[/C][/ROW]
[ROW][C]18[/C][C]-0.080129[/C][C]-0.73[/C][C]0.233721[/C][/ROW]
[ROW][C]19[/C][C]-0.105435[/C][C]-0.9606[/C][C]0.169783[/C][/ROW]
[ROW][C]20[/C][C]-0.09751[/C][C]-0.8884[/C][C]0.188457[/C][/ROW]
[ROW][C]21[/C][C]-0.136941[/C][C]-1.2476[/C][C]0.107845[/C][/ROW]
[ROW][C]22[/C][C]-0.136785[/C][C]-1.2462[/C][C]0.108104[/C][/ROW]
[ROW][C]23[/C][C]0.034378[/C][C]0.3132[/C][C]0.377459[/C][/ROW]
[ROW][C]24[/C][C]0.247094[/C][C]2.2511[/C][C]0.01351[/C][/ROW]
[ROW][C]25[/C][C]0.012169[/C][C]0.1109[/C][C]0.455996[/C][/ROW]
[ROW][C]26[/C][C]-0.045522[/C][C]-0.4147[/C][C]0.339706[/C][/ROW]
[ROW][C]27[/C][C]-0.036779[/C][C]-0.3351[/C][C]0.369207[/C][/ROW]
[ROW][C]28[/C][C]-0.036044[/C][C]-0.3284[/C][C]0.371727[/C][/ROW]
[ROW][C]29[/C][C]-0.0417[/C][C]-0.3799[/C][C]0.352492[/C][/ROW]
[ROW][C]30[/C][C]-0.033408[/C][C]-0.3044[/C][C]0.380807[/C][/ROW]
[ROW][C]31[/C][C]-0.045144[/C][C]-0.4113[/C][C]0.340963[/C][/ROW]
[ROW][C]32[/C][C]-0.022799[/C][C]-0.2077[/C][C]0.417984[/C][/ROW]
[ROW][C]33[/C][C]-0.050518[/C][C]-0.4602[/C][C]0.323273[/C][/ROW]
[ROW][C]34[/C][C]-0.028794[/C][C]-0.2623[/C][C]0.396859[/C][/ROW]
[ROW][C]35[/C][C]-0.040555[/C][C]-0.3695[/C][C]0.356358[/C][/ROW]
[ROW][C]36[/C][C]-0.045533[/C][C]-0.4148[/C][C]0.33967[/C][/ROW]
[ROW][C]37[/C][C]-0.067528[/C][C]-0.6152[/C][C]0.27005[/C][/ROW]
[ROW][C]38[/C][C]-0.04536[/C][C]-0.4133[/C][C]0.340243[/C][/ROW]
[ROW][C]39[/C][C]-0.055235[/C][C]-0.5032[/C][C]0.308074[/C][/ROW]
[ROW][C]40[/C][C]-0.065771[/C][C]-0.5992[/C][C]0.275335[/C][/ROW]
[ROW][C]41[/C][C]-0.060847[/C][C]-0.5543[/C][C]0.290417[/C][/ROW]
[ROW][C]42[/C][C]-0.083986[/C][C]-0.7652[/C][C]0.223176[/C][/ROW]
[ROW][C]43[/C][C]-0.063956[/C][C]-0.5827[/C][C]0.280848[/C][/ROW]
[ROW][C]44[/C][C]-0.094546[/C][C]-0.8614[/C][C]0.195761[/C][/ROW]
[ROW][C]45[/C][C]-0.077633[/C][C]-0.7073[/C][C]0.240691[/C][/ROW]
[ROW][C]46[/C][C]-0.116703[/C][C]-1.0632[/C][C]0.145384[/C][/ROW]
[ROW][C]47[/C][C]0.263623[/C][C]2.4017[/C][C]0.009276[/C][/ROW]
[ROW][C]48[/C][C]0.063642[/C][C]0.5798[/C][C]0.281807[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143160&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143160&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
10.0673850.61390.270479
2-0.047391-0.43180.333519
3-0.04113-0.37470.354416
4-0.047772-0.43520.332266
5-0.038831-0.35380.362205
6-0.055845-0.50880.306131
7-0.048617-0.44290.329489
8-0.064728-0.58970.278497
9-0.046435-0.4230.336678
10-0.08154-0.74290.229829
11-0.049667-0.45250.326049
12-0.046509-0.42370.336433
13-0.051331-0.46770.32063
14-0.07931-0.72250.235994
15-0.071126-0.6480.259392
16-0.068741-0.62630.266433
17-0.081144-0.73930.230918
18-0.080129-0.730.233721
19-0.105435-0.96060.169783
20-0.09751-0.88840.188457
21-0.136941-1.24760.107845
22-0.136785-1.24620.108104
230.0343780.31320.377459
240.2470942.25110.01351
250.0121690.11090.455996
26-0.045522-0.41470.339706
27-0.036779-0.33510.369207
28-0.036044-0.32840.371727
29-0.0417-0.37990.352492
30-0.033408-0.30440.380807
31-0.045144-0.41130.340963
32-0.022799-0.20770.417984
33-0.050518-0.46020.323273
34-0.028794-0.26230.396859
35-0.040555-0.36950.356358
36-0.045533-0.41480.33967
37-0.067528-0.61520.27005
38-0.04536-0.41330.340243
39-0.055235-0.50320.308074
40-0.065771-0.59920.275335
41-0.060847-0.55430.290417
42-0.083986-0.76520.223176
43-0.063956-0.58270.280848
44-0.094546-0.86140.195761
45-0.077633-0.70730.240691
46-0.116703-1.06320.145384
470.2636232.40170.009276
480.0636420.57980.281807



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')