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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 02:46:40 -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/t1228816053levvf60e49ug77r.htm/, Retrieved Sat, 25 May 2024 07:26:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31233, Retrieved Sat, 25 May 2024 07:26:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [6bis oef 2 stap 1...] [2008-12-09 09:46:40] [aa953cee67007b6ac752bcbbd195d3a5] [Current]
-   P     [(Partial) Autocorrelation Function] [6bis oef 2 stap 2...] [2008-12-09 09:49:41] [c856c407fba4e5cac6611e01b62a9c0b]
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Dataseries X:
9.026
9.787
9.536
9.490
9.736
9.694
9.647
9.753
10.070
10.137
9.984
9.732
9.103
9.155
9.308
9.394
9.948
10.177
10.002
9.728
10.002
10.063
10.018
9.960
10.236
10.893
10.756
10.940
10.997
10.827
10.166
10.186
10.457
10.368
10.244
10.511
10.812
10.738
10.171
9.721
9.897
9.828
9.924
10.371
10.846
10.413
10.709
10.662
10.570
10.297
10.635
10.872
10.296
10.383
10.431
10.574
10.653
10.805
10.872
10.625
10.407
10.463
10.556
10.646
10.702
11.353
11.346
11.451
11.964
12.574
13.031
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.050
15.839
15.137
14.954
15.648
15.305




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31233&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31233&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31233&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9402138.61720
20.8828958.09190
30.8367047.66850
40.773387.08810
50.6960456.37940
60.626565.74250
70.5658845.18641e-06
80.4705344.31252.2e-05
90.3911213.58470.000283
100.3295823.02070.001671
110.2643452.42280.008776
120.1993251.82680.035638
130.1448841.32790.093906
140.1042310.95530.171086
150.0725580.6650.253933
160.0483620.44320.329363
170.0376250.34480.365538
180.0294320.26970.394009
190.0175830.16120.436179
200.0081810.0750.470204
210.0021780.020.49206
22-0.004717-0.04320.482809
23-0.011005-0.10090.459951
24-0.013618-0.12480.450485
25-0.014947-0.1370.445684
26-0.020189-0.1850.426824
27-0.025488-0.23360.407933
28-0.027213-0.24940.401826
29-0.033048-0.30290.381362
30-0.03928-0.360.359871
31-0.047378-0.43420.332618
32-0.051817-0.47490.318041
33-0.06585-0.60350.273892
34-0.073311-0.67190.251742
35-0.074392-0.68180.248616
36-0.077977-0.71470.238398
37-0.081404-0.74610.228852
38-0.079335-0.72710.234587
39-0.077239-0.70790.240481
40-0.086088-0.7890.216163
41-0.089813-0.82320.206377
42-0.08711-0.79840.213453
43-0.083-0.76070.224481
44-0.078907-0.72320.235783
45-0.068433-0.62720.266114
46-0.0644-0.59020.278309
47-0.066042-0.60530.273311
48-0.075644-0.69330.245021

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.940213 & 8.6172 & 0 \tabularnewline
2 & 0.882895 & 8.0919 & 0 \tabularnewline
3 & 0.836704 & 7.6685 & 0 \tabularnewline
4 & 0.77338 & 7.0881 & 0 \tabularnewline
5 & 0.696045 & 6.3794 & 0 \tabularnewline
6 & 0.62656 & 5.7425 & 0 \tabularnewline
7 & 0.565884 & 5.1864 & 1e-06 \tabularnewline
8 & 0.470534 & 4.3125 & 2.2e-05 \tabularnewline
9 & 0.391121 & 3.5847 & 0.000283 \tabularnewline
10 & 0.329582 & 3.0207 & 0.001671 \tabularnewline
11 & 0.264345 & 2.4228 & 0.008776 \tabularnewline
12 & 0.199325 & 1.8268 & 0.035638 \tabularnewline
13 & 0.144884 & 1.3279 & 0.093906 \tabularnewline
14 & 0.104231 & 0.9553 & 0.171086 \tabularnewline
15 & 0.072558 & 0.665 & 0.253933 \tabularnewline
16 & 0.048362 & 0.4432 & 0.329363 \tabularnewline
17 & 0.037625 & 0.3448 & 0.365538 \tabularnewline
18 & 0.029432 & 0.2697 & 0.394009 \tabularnewline
19 & 0.017583 & 0.1612 & 0.436179 \tabularnewline
20 & 0.008181 & 0.075 & 0.470204 \tabularnewline
21 & 0.002178 & 0.02 & 0.49206 \tabularnewline
22 & -0.004717 & -0.0432 & 0.482809 \tabularnewline
23 & -0.011005 & -0.1009 & 0.459951 \tabularnewline
24 & -0.013618 & -0.1248 & 0.450485 \tabularnewline
25 & -0.014947 & -0.137 & 0.445684 \tabularnewline
26 & -0.020189 & -0.185 & 0.426824 \tabularnewline
27 & -0.025488 & -0.2336 & 0.407933 \tabularnewline
28 & -0.027213 & -0.2494 & 0.401826 \tabularnewline
29 & -0.033048 & -0.3029 & 0.381362 \tabularnewline
30 & -0.03928 & -0.36 & 0.359871 \tabularnewline
31 & -0.047378 & -0.4342 & 0.332618 \tabularnewline
32 & -0.051817 & -0.4749 & 0.318041 \tabularnewline
33 & -0.06585 & -0.6035 & 0.273892 \tabularnewline
34 & -0.073311 & -0.6719 & 0.251742 \tabularnewline
35 & -0.074392 & -0.6818 & 0.248616 \tabularnewline
36 & -0.077977 & -0.7147 & 0.238398 \tabularnewline
37 & -0.081404 & -0.7461 & 0.228852 \tabularnewline
38 & -0.079335 & -0.7271 & 0.234587 \tabularnewline
39 & -0.077239 & -0.7079 & 0.240481 \tabularnewline
40 & -0.086088 & -0.789 & 0.216163 \tabularnewline
41 & -0.089813 & -0.8232 & 0.206377 \tabularnewline
42 & -0.08711 & -0.7984 & 0.213453 \tabularnewline
43 & -0.083 & -0.7607 & 0.224481 \tabularnewline
44 & -0.078907 & -0.7232 & 0.235783 \tabularnewline
45 & -0.068433 & -0.6272 & 0.266114 \tabularnewline
46 & -0.0644 & -0.5902 & 0.278309 \tabularnewline
47 & -0.066042 & -0.6053 & 0.273311 \tabularnewline
48 & -0.075644 & -0.6933 & 0.245021 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31233&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]0.940213[/C][C]8.6172[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.882895[/C][C]8.0919[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.836704[/C][C]7.6685[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.77338[/C][C]7.0881[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.696045[/C][C]6.3794[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.62656[/C][C]5.7425[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.565884[/C][C]5.1864[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.470534[/C][C]4.3125[/C][C]2.2e-05[/C][/ROW]
[ROW][C]9[/C][C]0.391121[/C][C]3.5847[/C][C]0.000283[/C][/ROW]
[ROW][C]10[/C][C]0.329582[/C][C]3.0207[/C][C]0.001671[/C][/ROW]
[ROW][C]11[/C][C]0.264345[/C][C]2.4228[/C][C]0.008776[/C][/ROW]
[ROW][C]12[/C][C]0.199325[/C][C]1.8268[/C][C]0.035638[/C][/ROW]
[ROW][C]13[/C][C]0.144884[/C][C]1.3279[/C][C]0.093906[/C][/ROW]
[ROW][C]14[/C][C]0.104231[/C][C]0.9553[/C][C]0.171086[/C][/ROW]
[ROW][C]15[/C][C]0.072558[/C][C]0.665[/C][C]0.253933[/C][/ROW]
[ROW][C]16[/C][C]0.048362[/C][C]0.4432[/C][C]0.329363[/C][/ROW]
[ROW][C]17[/C][C]0.037625[/C][C]0.3448[/C][C]0.365538[/C][/ROW]
[ROW][C]18[/C][C]0.029432[/C][C]0.2697[/C][C]0.394009[/C][/ROW]
[ROW][C]19[/C][C]0.017583[/C][C]0.1612[/C][C]0.436179[/C][/ROW]
[ROW][C]20[/C][C]0.008181[/C][C]0.075[/C][C]0.470204[/C][/ROW]
[ROW][C]21[/C][C]0.002178[/C][C]0.02[/C][C]0.49206[/C][/ROW]
[ROW][C]22[/C][C]-0.004717[/C][C]-0.0432[/C][C]0.482809[/C][/ROW]
[ROW][C]23[/C][C]-0.011005[/C][C]-0.1009[/C][C]0.459951[/C][/ROW]
[ROW][C]24[/C][C]-0.013618[/C][C]-0.1248[/C][C]0.450485[/C][/ROW]
[ROW][C]25[/C][C]-0.014947[/C][C]-0.137[/C][C]0.445684[/C][/ROW]
[ROW][C]26[/C][C]-0.020189[/C][C]-0.185[/C][C]0.426824[/C][/ROW]
[ROW][C]27[/C][C]-0.025488[/C][C]-0.2336[/C][C]0.407933[/C][/ROW]
[ROW][C]28[/C][C]-0.027213[/C][C]-0.2494[/C][C]0.401826[/C][/ROW]
[ROW][C]29[/C][C]-0.033048[/C][C]-0.3029[/C][C]0.381362[/C][/ROW]
[ROW][C]30[/C][C]-0.03928[/C][C]-0.36[/C][C]0.359871[/C][/ROW]
[ROW][C]31[/C][C]-0.047378[/C][C]-0.4342[/C][C]0.332618[/C][/ROW]
[ROW][C]32[/C][C]-0.051817[/C][C]-0.4749[/C][C]0.318041[/C][/ROW]
[ROW][C]33[/C][C]-0.06585[/C][C]-0.6035[/C][C]0.273892[/C][/ROW]
[ROW][C]34[/C][C]-0.073311[/C][C]-0.6719[/C][C]0.251742[/C][/ROW]
[ROW][C]35[/C][C]-0.074392[/C][C]-0.6818[/C][C]0.248616[/C][/ROW]
[ROW][C]36[/C][C]-0.077977[/C][C]-0.7147[/C][C]0.238398[/C][/ROW]
[ROW][C]37[/C][C]-0.081404[/C][C]-0.7461[/C][C]0.228852[/C][/ROW]
[ROW][C]38[/C][C]-0.079335[/C][C]-0.7271[/C][C]0.234587[/C][/ROW]
[ROW][C]39[/C][C]-0.077239[/C][C]-0.7079[/C][C]0.240481[/C][/ROW]
[ROW][C]40[/C][C]-0.086088[/C][C]-0.789[/C][C]0.216163[/C][/ROW]
[ROW][C]41[/C][C]-0.089813[/C][C]-0.8232[/C][C]0.206377[/C][/ROW]
[ROW][C]42[/C][C]-0.08711[/C][C]-0.7984[/C][C]0.213453[/C][/ROW]
[ROW][C]43[/C][C]-0.083[/C][C]-0.7607[/C][C]0.224481[/C][/ROW]
[ROW][C]44[/C][C]-0.078907[/C][C]-0.7232[/C][C]0.235783[/C][/ROW]
[ROW][C]45[/C][C]-0.068433[/C][C]-0.6272[/C][C]0.266114[/C][/ROW]
[ROW][C]46[/C][C]-0.0644[/C][C]-0.5902[/C][C]0.278309[/C][/ROW]
[ROW][C]47[/C][C]-0.066042[/C][C]-0.6053[/C][C]0.273311[/C][/ROW]
[ROW][C]48[/C][C]-0.075644[/C][C]-0.6933[/C][C]0.245021[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31233&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31233&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
10.9402138.61720
20.8828958.09190
30.8367047.66850
40.773387.08810
50.6960456.37940
60.626565.74250
70.5658845.18641e-06
80.4705344.31252.2e-05
90.3911213.58470.000283
100.3295823.02070.001671
110.2643452.42280.008776
120.1993251.82680.035638
130.1448841.32790.093906
140.1042310.95530.171086
150.0725580.6650.253933
160.0483620.44320.329363
170.0376250.34480.365538
180.0294320.26970.394009
190.0175830.16120.436179
200.0081810.0750.470204
210.0021780.020.49206
22-0.004717-0.04320.482809
23-0.011005-0.10090.459951
24-0.013618-0.12480.450485
25-0.014947-0.1370.445684
26-0.020189-0.1850.426824
27-0.025488-0.23360.407933
28-0.027213-0.24940.401826
29-0.033048-0.30290.381362
30-0.03928-0.360.359871
31-0.047378-0.43420.332618
32-0.051817-0.47490.318041
33-0.06585-0.60350.273892
34-0.073311-0.67190.251742
35-0.074392-0.68180.248616
36-0.077977-0.71470.238398
37-0.081404-0.74610.228852
38-0.079335-0.72710.234587
39-0.077239-0.70790.240481
40-0.086088-0.7890.216163
41-0.089813-0.82320.206377
42-0.08711-0.79840.213453
43-0.083-0.76070.224481
44-0.078907-0.72320.235783
45-0.068433-0.62720.266114
46-0.0644-0.59020.278309
47-0.066042-0.60530.273311
48-0.075644-0.69330.245021







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9402138.61720
2-0.009534-0.08740.465289
30.0658970.6040.27375
4-0.170087-1.55890.061393
5-0.156119-1.43090.078091
6-0.0082-0.07520.470136
70.0375950.34460.365643
8-0.309153-2.83340.002882
90.0893960.81930.207458
100.0382230.35030.363488
11-0.000424-0.00390.498453
12-0.001587-0.01450.494216
13-0.020537-0.18820.425576
140.0293530.2690.394285
150.1670641.53120.064743
16-0.031829-0.29170.385612
170.0406550.37260.355189
18-0.007071-0.06480.474241
19-0.069793-0.63970.262065
20-0.031188-0.28580.387851
21-0.035642-0.32670.372366
22-0.077552-0.71080.239596
230.0473570.4340.332688
24-0.005044-0.04620.481619
250.0137760.12630.449915
260.0064230.05890.476599
27-0.014524-0.13310.447209
280.0260960.23920.405778
29-0.00037-0.00340.498653
30-0.016577-0.15190.439803
31-0.026682-0.24450.403704
320.0199870.18320.427546
33-0.111232-1.01950.155456
340.063640.58330.280636
35-0.003742-0.03430.48636
36-0.000336-0.00310.498777
370.0106950.0980.461074
380.0444510.40740.342376
39-0.045281-0.4150.339599
40-0.028823-0.26420.396149
41-0.033798-0.30980.378752
420.0242710.22250.412251
430.0555550.50920.305985
440.0096780.08870.464766
450.0110020.10080.459963
46-0.066425-0.60880.272153
47-0.035156-0.32220.374047
48-0.11877-1.08850.139734

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.940213 & 8.6172 & 0 \tabularnewline
2 & -0.009534 & -0.0874 & 0.465289 \tabularnewline
3 & 0.065897 & 0.604 & 0.27375 \tabularnewline
4 & -0.170087 & -1.5589 & 0.061393 \tabularnewline
5 & -0.156119 & -1.4309 & 0.078091 \tabularnewline
6 & -0.0082 & -0.0752 & 0.470136 \tabularnewline
7 & 0.037595 & 0.3446 & 0.365643 \tabularnewline
8 & -0.309153 & -2.8334 & 0.002882 \tabularnewline
9 & 0.089396 & 0.8193 & 0.207458 \tabularnewline
10 & 0.038223 & 0.3503 & 0.363488 \tabularnewline
11 & -0.000424 & -0.0039 & 0.498453 \tabularnewline
12 & -0.001587 & -0.0145 & 0.494216 \tabularnewline
13 & -0.020537 & -0.1882 & 0.425576 \tabularnewline
14 & 0.029353 & 0.269 & 0.394285 \tabularnewline
15 & 0.167064 & 1.5312 & 0.064743 \tabularnewline
16 & -0.031829 & -0.2917 & 0.385612 \tabularnewline
17 & 0.040655 & 0.3726 & 0.355189 \tabularnewline
18 & -0.007071 & -0.0648 & 0.474241 \tabularnewline
19 & -0.069793 & -0.6397 & 0.262065 \tabularnewline
20 & -0.031188 & -0.2858 & 0.387851 \tabularnewline
21 & -0.035642 & -0.3267 & 0.372366 \tabularnewline
22 & -0.077552 & -0.7108 & 0.239596 \tabularnewline
23 & 0.047357 & 0.434 & 0.332688 \tabularnewline
24 & -0.005044 & -0.0462 & 0.481619 \tabularnewline
25 & 0.013776 & 0.1263 & 0.449915 \tabularnewline
26 & 0.006423 & 0.0589 & 0.476599 \tabularnewline
27 & -0.014524 & -0.1331 & 0.447209 \tabularnewline
28 & 0.026096 & 0.2392 & 0.405778 \tabularnewline
29 & -0.00037 & -0.0034 & 0.498653 \tabularnewline
30 & -0.016577 & -0.1519 & 0.439803 \tabularnewline
31 & -0.026682 & -0.2445 & 0.403704 \tabularnewline
32 & 0.019987 & 0.1832 & 0.427546 \tabularnewline
33 & -0.111232 & -1.0195 & 0.155456 \tabularnewline
34 & 0.06364 & 0.5833 & 0.280636 \tabularnewline
35 & -0.003742 & -0.0343 & 0.48636 \tabularnewline
36 & -0.000336 & -0.0031 & 0.498777 \tabularnewline
37 & 0.010695 & 0.098 & 0.461074 \tabularnewline
38 & 0.044451 & 0.4074 & 0.342376 \tabularnewline
39 & -0.045281 & -0.415 & 0.339599 \tabularnewline
40 & -0.028823 & -0.2642 & 0.396149 \tabularnewline
41 & -0.033798 & -0.3098 & 0.378752 \tabularnewline
42 & 0.024271 & 0.2225 & 0.412251 \tabularnewline
43 & 0.055555 & 0.5092 & 0.305985 \tabularnewline
44 & 0.009678 & 0.0887 & 0.464766 \tabularnewline
45 & 0.011002 & 0.1008 & 0.459963 \tabularnewline
46 & -0.066425 & -0.6088 & 0.272153 \tabularnewline
47 & -0.035156 & -0.3222 & 0.374047 \tabularnewline
48 & -0.11877 & -1.0885 & 0.139734 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31233&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]0.940213[/C][C]8.6172[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.009534[/C][C]-0.0874[/C][C]0.465289[/C][/ROW]
[ROW][C]3[/C][C]0.065897[/C][C]0.604[/C][C]0.27375[/C][/ROW]
[ROW][C]4[/C][C]-0.170087[/C][C]-1.5589[/C][C]0.061393[/C][/ROW]
[ROW][C]5[/C][C]-0.156119[/C][C]-1.4309[/C][C]0.078091[/C][/ROW]
[ROW][C]6[/C][C]-0.0082[/C][C]-0.0752[/C][C]0.470136[/C][/ROW]
[ROW][C]7[/C][C]0.037595[/C][C]0.3446[/C][C]0.365643[/C][/ROW]
[ROW][C]8[/C][C]-0.309153[/C][C]-2.8334[/C][C]0.002882[/C][/ROW]
[ROW][C]9[/C][C]0.089396[/C][C]0.8193[/C][C]0.207458[/C][/ROW]
[ROW][C]10[/C][C]0.038223[/C][C]0.3503[/C][C]0.363488[/C][/ROW]
[ROW][C]11[/C][C]-0.000424[/C][C]-0.0039[/C][C]0.498453[/C][/ROW]
[ROW][C]12[/C][C]-0.001587[/C][C]-0.0145[/C][C]0.494216[/C][/ROW]
[ROW][C]13[/C][C]-0.020537[/C][C]-0.1882[/C][C]0.425576[/C][/ROW]
[ROW][C]14[/C][C]0.029353[/C][C]0.269[/C][C]0.394285[/C][/ROW]
[ROW][C]15[/C][C]0.167064[/C][C]1.5312[/C][C]0.064743[/C][/ROW]
[ROW][C]16[/C][C]-0.031829[/C][C]-0.2917[/C][C]0.385612[/C][/ROW]
[ROW][C]17[/C][C]0.040655[/C][C]0.3726[/C][C]0.355189[/C][/ROW]
[ROW][C]18[/C][C]-0.007071[/C][C]-0.0648[/C][C]0.474241[/C][/ROW]
[ROW][C]19[/C][C]-0.069793[/C][C]-0.6397[/C][C]0.262065[/C][/ROW]
[ROW][C]20[/C][C]-0.031188[/C][C]-0.2858[/C][C]0.387851[/C][/ROW]
[ROW][C]21[/C][C]-0.035642[/C][C]-0.3267[/C][C]0.372366[/C][/ROW]
[ROW][C]22[/C][C]-0.077552[/C][C]-0.7108[/C][C]0.239596[/C][/ROW]
[ROW][C]23[/C][C]0.047357[/C][C]0.434[/C][C]0.332688[/C][/ROW]
[ROW][C]24[/C][C]-0.005044[/C][C]-0.0462[/C][C]0.481619[/C][/ROW]
[ROW][C]25[/C][C]0.013776[/C][C]0.1263[/C][C]0.449915[/C][/ROW]
[ROW][C]26[/C][C]0.006423[/C][C]0.0589[/C][C]0.476599[/C][/ROW]
[ROW][C]27[/C][C]-0.014524[/C][C]-0.1331[/C][C]0.447209[/C][/ROW]
[ROW][C]28[/C][C]0.026096[/C][C]0.2392[/C][C]0.405778[/C][/ROW]
[ROW][C]29[/C][C]-0.00037[/C][C]-0.0034[/C][C]0.498653[/C][/ROW]
[ROW][C]30[/C][C]-0.016577[/C][C]-0.1519[/C][C]0.439803[/C][/ROW]
[ROW][C]31[/C][C]-0.026682[/C][C]-0.2445[/C][C]0.403704[/C][/ROW]
[ROW][C]32[/C][C]0.019987[/C][C]0.1832[/C][C]0.427546[/C][/ROW]
[ROW][C]33[/C][C]-0.111232[/C][C]-1.0195[/C][C]0.155456[/C][/ROW]
[ROW][C]34[/C][C]0.06364[/C][C]0.5833[/C][C]0.280636[/C][/ROW]
[ROW][C]35[/C][C]-0.003742[/C][C]-0.0343[/C][C]0.48636[/C][/ROW]
[ROW][C]36[/C][C]-0.000336[/C][C]-0.0031[/C][C]0.498777[/C][/ROW]
[ROW][C]37[/C][C]0.010695[/C][C]0.098[/C][C]0.461074[/C][/ROW]
[ROW][C]38[/C][C]0.044451[/C][C]0.4074[/C][C]0.342376[/C][/ROW]
[ROW][C]39[/C][C]-0.045281[/C][C]-0.415[/C][C]0.339599[/C][/ROW]
[ROW][C]40[/C][C]-0.028823[/C][C]-0.2642[/C][C]0.396149[/C][/ROW]
[ROW][C]41[/C][C]-0.033798[/C][C]-0.3098[/C][C]0.378752[/C][/ROW]
[ROW][C]42[/C][C]0.024271[/C][C]0.2225[/C][C]0.412251[/C][/ROW]
[ROW][C]43[/C][C]0.055555[/C][C]0.5092[/C][C]0.305985[/C][/ROW]
[ROW][C]44[/C][C]0.009678[/C][C]0.0887[/C][C]0.464766[/C][/ROW]
[ROW][C]45[/C][C]0.011002[/C][C]0.1008[/C][C]0.459963[/C][/ROW]
[ROW][C]46[/C][C]-0.066425[/C][C]-0.6088[/C][C]0.272153[/C][/ROW]
[ROW][C]47[/C][C]-0.035156[/C][C]-0.3222[/C][C]0.374047[/C][/ROW]
[ROW][C]48[/C][C]-0.11877[/C][C]-1.0885[/C][C]0.139734[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31233&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31233&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
10.9402138.61720
2-0.009534-0.08740.465289
30.0658970.6040.27375
4-0.170087-1.55890.061393
5-0.156119-1.43090.078091
6-0.0082-0.07520.470136
70.0375950.34460.365643
8-0.309153-2.83340.002882
90.0893960.81930.207458
100.0382230.35030.363488
11-0.000424-0.00390.498453
12-0.001587-0.01450.494216
13-0.020537-0.18820.425576
140.0293530.2690.394285
150.1670641.53120.064743
16-0.031829-0.29170.385612
170.0406550.37260.355189
18-0.007071-0.06480.474241
19-0.069793-0.63970.262065
20-0.031188-0.28580.387851
21-0.035642-0.32670.372366
22-0.077552-0.71080.239596
230.0473570.4340.332688
24-0.005044-0.04620.481619
250.0137760.12630.449915
260.0064230.05890.476599
27-0.014524-0.13310.447209
280.0260960.23920.405778
29-0.00037-0.00340.498653
30-0.016577-0.15190.439803
31-0.026682-0.24450.403704
320.0199870.18320.427546
33-0.111232-1.01950.155456
340.063640.58330.280636
35-0.003742-0.03430.48636
36-0.000336-0.00310.498777
370.0106950.0980.461074
380.0444510.40740.342376
39-0.045281-0.4150.339599
40-0.028823-0.26420.396149
41-0.033798-0.30980.378752
420.0242710.22250.412251
430.0555550.50920.305985
440.0096780.08870.464766
450.0110020.10080.459963
46-0.066425-0.60880.272153
47-0.035156-0.32220.374047
48-0.11877-1.08850.139734



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 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')