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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 13 May 2009 12:14:06 -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/13/t1242238496594gcppxi6w8gm4.htm/, Retrieved Wed, 08 May 2024 20:30:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39893, Retrieved Wed, 08 May 2024 20:30:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorr - niet w...] [2009-05-13 18:11:28] [74be16979710d4c4e7c6647856088456]
-   P     [(Partial) Autocorrelation Function] [autocorr non seas...] [2009-05-13 18:14:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
220206
220115
218444
214912
210705
209673
237041
242081
241878
242621
238545
240337
244752
244576
241572
240541
236089
236997
264579
270349
269645
267037
258113
262813
267413
267366
264777
258863
254844
254868
277267
285351
286602
283042
276687
277915
277128
277103
275037
270150
267140
264993
287259
291186
292300
288186
281477
282656
280190
280408
276836
275216
274352
271311
289802
290726
292300
278506
269826
265861
269034
264176
255198
253353
246057
235372
258556
260993
254663
250643
243422
247105
248541
245039
237080
237085
225554
226839
247934
248333
246969
245098
246263
255765
264319




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39893&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39893&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39893&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1481661.3580.089055
2-0.166526-1.52620.065354
3-0.218559-2.00310.024194
4-0.241605-2.21430.014757
50.1179611.08110.141366
60.2367472.16980.016422
70.0685850.62860.265661
8-0.242089-2.21880.014599
9-0.214484-1.96580.026314
10-0.178476-1.63580.052816
110.1697521.55580.061758
120.7470776.84710
130.0808640.74110.23034
14-0.139143-1.27530.102866
15-0.242653-2.2240.014417
16-0.219237-2.00930.023856
170.1187341.08820.139805
180.1499541.37440.086494
190.0406210.37230.355304
20-0.234058-2.14520.017413
21-0.208718-1.91290.029582
22-0.127593-1.16940.122774
230.0946260.86730.194134
240.5549075.08581e-06
250.0654130.59950.27522
26-0.126816-1.16230.124205
27-0.242248-2.22020.014548
28-0.14906-1.36620.087769
290.0695030.6370.262926
300.0952090.87260.192683
310.0341090.31260.377673
32-0.186425-1.70860.045608
33-0.126784-1.1620.124264
34-0.114762-1.05180.147952
350.0755110.69210.245401
360.4481684.10754.6e-05
370.0492420.45130.326465
38-0.122155-1.11960.133044
39-0.208924-1.91480.02946
40-0.109778-1.00610.158622
410.0566710.51940.302424
420.1045960.95860.170247
430.0169510.15540.438456
44-0.182197-1.66990.049334
45-0.093531-0.85720.19688
46-0.096844-0.88760.188648
470.0376990.34550.365285
480.3451863.16370.001085

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.148166 & 1.358 & 0.089055 \tabularnewline
2 & -0.166526 & -1.5262 & 0.065354 \tabularnewline
3 & -0.218559 & -2.0031 & 0.024194 \tabularnewline
4 & -0.241605 & -2.2143 & 0.014757 \tabularnewline
5 & 0.117961 & 1.0811 & 0.141366 \tabularnewline
6 & 0.236747 & 2.1698 & 0.016422 \tabularnewline
7 & 0.068585 & 0.6286 & 0.265661 \tabularnewline
8 & -0.242089 & -2.2188 & 0.014599 \tabularnewline
9 & -0.214484 & -1.9658 & 0.026314 \tabularnewline
10 & -0.178476 & -1.6358 & 0.052816 \tabularnewline
11 & 0.169752 & 1.5558 & 0.061758 \tabularnewline
12 & 0.747077 & 6.8471 & 0 \tabularnewline
13 & 0.080864 & 0.7411 & 0.23034 \tabularnewline
14 & -0.139143 & -1.2753 & 0.102866 \tabularnewline
15 & -0.242653 & -2.224 & 0.014417 \tabularnewline
16 & -0.219237 & -2.0093 & 0.023856 \tabularnewline
17 & 0.118734 & 1.0882 & 0.139805 \tabularnewline
18 & 0.149954 & 1.3744 & 0.086494 \tabularnewline
19 & 0.040621 & 0.3723 & 0.355304 \tabularnewline
20 & -0.234058 & -2.1452 & 0.017413 \tabularnewline
21 & -0.208718 & -1.9129 & 0.029582 \tabularnewline
22 & -0.127593 & -1.1694 & 0.122774 \tabularnewline
23 & 0.094626 & 0.8673 & 0.194134 \tabularnewline
24 & 0.554907 & 5.0858 & 1e-06 \tabularnewline
25 & 0.065413 & 0.5995 & 0.27522 \tabularnewline
26 & -0.126816 & -1.1623 & 0.124205 \tabularnewline
27 & -0.242248 & -2.2202 & 0.014548 \tabularnewline
28 & -0.14906 & -1.3662 & 0.087769 \tabularnewline
29 & 0.069503 & 0.637 & 0.262926 \tabularnewline
30 & 0.095209 & 0.8726 & 0.192683 \tabularnewline
31 & 0.034109 & 0.3126 & 0.377673 \tabularnewline
32 & -0.186425 & -1.7086 & 0.045608 \tabularnewline
33 & -0.126784 & -1.162 & 0.124264 \tabularnewline
34 & -0.114762 & -1.0518 & 0.147952 \tabularnewline
35 & 0.075511 & 0.6921 & 0.245401 \tabularnewline
36 & 0.448168 & 4.1075 & 4.6e-05 \tabularnewline
37 & 0.049242 & 0.4513 & 0.326465 \tabularnewline
38 & -0.122155 & -1.1196 & 0.133044 \tabularnewline
39 & -0.208924 & -1.9148 & 0.02946 \tabularnewline
40 & -0.109778 & -1.0061 & 0.158622 \tabularnewline
41 & 0.056671 & 0.5194 & 0.302424 \tabularnewline
42 & 0.104596 & 0.9586 & 0.170247 \tabularnewline
43 & 0.016951 & 0.1554 & 0.438456 \tabularnewline
44 & -0.182197 & -1.6699 & 0.049334 \tabularnewline
45 & -0.093531 & -0.8572 & 0.19688 \tabularnewline
46 & -0.096844 & -0.8876 & 0.188648 \tabularnewline
47 & 0.037699 & 0.3455 & 0.365285 \tabularnewline
48 & 0.345186 & 3.1637 & 0.001085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39893&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]0.148166[/C][C]1.358[/C][C]0.089055[/C][/ROW]
[ROW][C]2[/C][C]-0.166526[/C][C]-1.5262[/C][C]0.065354[/C][/ROW]
[ROW][C]3[/C][C]-0.218559[/C][C]-2.0031[/C][C]0.024194[/C][/ROW]
[ROW][C]4[/C][C]-0.241605[/C][C]-2.2143[/C][C]0.014757[/C][/ROW]
[ROW][C]5[/C][C]0.117961[/C][C]1.0811[/C][C]0.141366[/C][/ROW]
[ROW][C]6[/C][C]0.236747[/C][C]2.1698[/C][C]0.016422[/C][/ROW]
[ROW][C]7[/C][C]0.068585[/C][C]0.6286[/C][C]0.265661[/C][/ROW]
[ROW][C]8[/C][C]-0.242089[/C][C]-2.2188[/C][C]0.014599[/C][/ROW]
[ROW][C]9[/C][C]-0.214484[/C][C]-1.9658[/C][C]0.026314[/C][/ROW]
[ROW][C]10[/C][C]-0.178476[/C][C]-1.6358[/C][C]0.052816[/C][/ROW]
[ROW][C]11[/C][C]0.169752[/C][C]1.5558[/C][C]0.061758[/C][/ROW]
[ROW][C]12[/C][C]0.747077[/C][C]6.8471[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.080864[/C][C]0.7411[/C][C]0.23034[/C][/ROW]
[ROW][C]14[/C][C]-0.139143[/C][C]-1.2753[/C][C]0.102866[/C][/ROW]
[ROW][C]15[/C][C]-0.242653[/C][C]-2.224[/C][C]0.014417[/C][/ROW]
[ROW][C]16[/C][C]-0.219237[/C][C]-2.0093[/C][C]0.023856[/C][/ROW]
[ROW][C]17[/C][C]0.118734[/C][C]1.0882[/C][C]0.139805[/C][/ROW]
[ROW][C]18[/C][C]0.149954[/C][C]1.3744[/C][C]0.086494[/C][/ROW]
[ROW][C]19[/C][C]0.040621[/C][C]0.3723[/C][C]0.355304[/C][/ROW]
[ROW][C]20[/C][C]-0.234058[/C][C]-2.1452[/C][C]0.017413[/C][/ROW]
[ROW][C]21[/C][C]-0.208718[/C][C]-1.9129[/C][C]0.029582[/C][/ROW]
[ROW][C]22[/C][C]-0.127593[/C][C]-1.1694[/C][C]0.122774[/C][/ROW]
[ROW][C]23[/C][C]0.094626[/C][C]0.8673[/C][C]0.194134[/C][/ROW]
[ROW][C]24[/C][C]0.554907[/C][C]5.0858[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]0.065413[/C][C]0.5995[/C][C]0.27522[/C][/ROW]
[ROW][C]26[/C][C]-0.126816[/C][C]-1.1623[/C][C]0.124205[/C][/ROW]
[ROW][C]27[/C][C]-0.242248[/C][C]-2.2202[/C][C]0.014548[/C][/ROW]
[ROW][C]28[/C][C]-0.14906[/C][C]-1.3662[/C][C]0.087769[/C][/ROW]
[ROW][C]29[/C][C]0.069503[/C][C]0.637[/C][C]0.262926[/C][/ROW]
[ROW][C]30[/C][C]0.095209[/C][C]0.8726[/C][C]0.192683[/C][/ROW]
[ROW][C]31[/C][C]0.034109[/C][C]0.3126[/C][C]0.377673[/C][/ROW]
[ROW][C]32[/C][C]-0.186425[/C][C]-1.7086[/C][C]0.045608[/C][/ROW]
[ROW][C]33[/C][C]-0.126784[/C][C]-1.162[/C][C]0.124264[/C][/ROW]
[ROW][C]34[/C][C]-0.114762[/C][C]-1.0518[/C][C]0.147952[/C][/ROW]
[ROW][C]35[/C][C]0.075511[/C][C]0.6921[/C][C]0.245401[/C][/ROW]
[ROW][C]36[/C][C]0.448168[/C][C]4.1075[/C][C]4.6e-05[/C][/ROW]
[ROW][C]37[/C][C]0.049242[/C][C]0.4513[/C][C]0.326465[/C][/ROW]
[ROW][C]38[/C][C]-0.122155[/C][C]-1.1196[/C][C]0.133044[/C][/ROW]
[ROW][C]39[/C][C]-0.208924[/C][C]-1.9148[/C][C]0.02946[/C][/ROW]
[ROW][C]40[/C][C]-0.109778[/C][C]-1.0061[/C][C]0.158622[/C][/ROW]
[ROW][C]41[/C][C]0.056671[/C][C]0.5194[/C][C]0.302424[/C][/ROW]
[ROW][C]42[/C][C]0.104596[/C][C]0.9586[/C][C]0.170247[/C][/ROW]
[ROW][C]43[/C][C]0.016951[/C][C]0.1554[/C][C]0.438456[/C][/ROW]
[ROW][C]44[/C][C]-0.182197[/C][C]-1.6699[/C][C]0.049334[/C][/ROW]
[ROW][C]45[/C][C]-0.093531[/C][C]-0.8572[/C][C]0.19688[/C][/ROW]
[ROW][C]46[/C][C]-0.096844[/C][C]-0.8876[/C][C]0.188648[/C][/ROW]
[ROW][C]47[/C][C]0.037699[/C][C]0.3455[/C][C]0.365285[/C][/ROW]
[ROW][C]48[/C][C]0.345186[/C][C]3.1637[/C][C]0.001085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39893&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39893&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
10.1481661.3580.089055
2-0.166526-1.52620.065354
3-0.218559-2.00310.024194
4-0.241605-2.21430.014757
50.1179611.08110.141366
60.2367472.16980.016422
70.0685850.62860.265661
8-0.242089-2.21880.014599
9-0.214484-1.96580.026314
10-0.178476-1.63580.052816
110.1697521.55580.061758
120.7470776.84710
130.0808640.74110.23034
14-0.139143-1.27530.102866
15-0.242653-2.2240.014417
16-0.219237-2.00930.023856
170.1187341.08820.139805
180.1499541.37440.086494
190.0406210.37230.355304
20-0.234058-2.14520.017413
21-0.208718-1.91290.029582
22-0.127593-1.16940.122774
230.0946260.86730.194134
240.5549075.08581e-06
250.0654130.59950.27522
26-0.126816-1.16230.124205
27-0.242248-2.22020.014548
28-0.14906-1.36620.087769
290.0695030.6370.262926
300.0952090.87260.192683
310.0341090.31260.377673
32-0.186425-1.70860.045608
33-0.126784-1.1620.124264
34-0.114762-1.05180.147952
350.0755110.69210.245401
360.4481684.10754.6e-05
370.0492420.45130.326465
38-0.122155-1.11960.133044
39-0.208924-1.91480.02946
40-0.109778-1.00610.158622
410.0566710.51940.302424
420.1045960.95860.170247
430.0169510.15540.438456
44-0.182197-1.66990.049334
45-0.093531-0.85720.19688
46-0.096844-0.88760.188648
470.0376990.34550.365285
480.3451863.16370.001085







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1481661.3580.089055
2-0.19271-1.76620.040497
3-0.170514-1.56280.060931
4-0.231829-2.12470.018273
50.1281851.17480.121691
60.108820.99740.160729
7-0.014156-0.12970.448539
8-0.251819-2.3080.01173
9-0.063138-0.57870.282179
10-0.17535-1.60710.055891
110.1183491.08470.140583
120.6664366.1080
13-0.096645-0.88580.189135
140.0335520.30750.379609
15-0.074629-0.6840.247934
16-0.00073-0.00670.497337
17-0.08196-0.75120.227324
18-0.169914-1.55730.061581
190.0181360.16620.434191
20-0.050182-0.45990.32338
21-0.006859-0.06290.475014
220.0639410.5860.279714
23-0.214744-1.96820.026174
240.0427290.39160.348168
25-0.004725-0.04330.482779
26-0.036936-0.33850.367907
27-0.048755-0.44680.328067
280.0589680.54040.295159
29-0.086557-0.79330.214917
30-0.022649-0.20760.41803
31-0.045418-0.41630.33914
320.0968670.88780.188591
330.0395920.36290.358809
34-0.078441-0.71890.237092
350.0987930.90550.183908
360.0153150.14040.444354
37-0.034311-0.31450.376972
38-0.071555-0.65580.256868
39-0.049102-0.450.326926
400.0214790.19690.422206
41-0.007242-0.06640.473617
420.0708920.64970.258819
43-0.053795-0.4930.311636
44-0.125257-1.1480.127114
45-0.010398-0.09530.46215
46-0.023322-0.21370.41563
47-0.162307-1.48760.070304
48-0.033715-0.3090.379043

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.148166 & 1.358 & 0.089055 \tabularnewline
2 & -0.19271 & -1.7662 & 0.040497 \tabularnewline
3 & -0.170514 & -1.5628 & 0.060931 \tabularnewline
4 & -0.231829 & -2.1247 & 0.018273 \tabularnewline
5 & 0.128185 & 1.1748 & 0.121691 \tabularnewline
6 & 0.10882 & 0.9974 & 0.160729 \tabularnewline
7 & -0.014156 & -0.1297 & 0.448539 \tabularnewline
8 & -0.251819 & -2.308 & 0.01173 \tabularnewline
9 & -0.063138 & -0.5787 & 0.282179 \tabularnewline
10 & -0.17535 & -1.6071 & 0.055891 \tabularnewline
11 & 0.118349 & 1.0847 & 0.140583 \tabularnewline
12 & 0.666436 & 6.108 & 0 \tabularnewline
13 & -0.096645 & -0.8858 & 0.189135 \tabularnewline
14 & 0.033552 & 0.3075 & 0.379609 \tabularnewline
15 & -0.074629 & -0.684 & 0.247934 \tabularnewline
16 & -0.00073 & -0.0067 & 0.497337 \tabularnewline
17 & -0.08196 & -0.7512 & 0.227324 \tabularnewline
18 & -0.169914 & -1.5573 & 0.061581 \tabularnewline
19 & 0.018136 & 0.1662 & 0.434191 \tabularnewline
20 & -0.050182 & -0.4599 & 0.32338 \tabularnewline
21 & -0.006859 & -0.0629 & 0.475014 \tabularnewline
22 & 0.063941 & 0.586 & 0.279714 \tabularnewline
23 & -0.214744 & -1.9682 & 0.026174 \tabularnewline
24 & 0.042729 & 0.3916 & 0.348168 \tabularnewline
25 & -0.004725 & -0.0433 & 0.482779 \tabularnewline
26 & -0.036936 & -0.3385 & 0.367907 \tabularnewline
27 & -0.048755 & -0.4468 & 0.328067 \tabularnewline
28 & 0.058968 & 0.5404 & 0.295159 \tabularnewline
29 & -0.086557 & -0.7933 & 0.214917 \tabularnewline
30 & -0.022649 & -0.2076 & 0.41803 \tabularnewline
31 & -0.045418 & -0.4163 & 0.33914 \tabularnewline
32 & 0.096867 & 0.8878 & 0.188591 \tabularnewline
33 & 0.039592 & 0.3629 & 0.358809 \tabularnewline
34 & -0.078441 & -0.7189 & 0.237092 \tabularnewline
35 & 0.098793 & 0.9055 & 0.183908 \tabularnewline
36 & 0.015315 & 0.1404 & 0.444354 \tabularnewline
37 & -0.034311 & -0.3145 & 0.376972 \tabularnewline
38 & -0.071555 & -0.6558 & 0.256868 \tabularnewline
39 & -0.049102 & -0.45 & 0.326926 \tabularnewline
40 & 0.021479 & 0.1969 & 0.422206 \tabularnewline
41 & -0.007242 & -0.0664 & 0.473617 \tabularnewline
42 & 0.070892 & 0.6497 & 0.258819 \tabularnewline
43 & -0.053795 & -0.493 & 0.311636 \tabularnewline
44 & -0.125257 & -1.148 & 0.127114 \tabularnewline
45 & -0.010398 & -0.0953 & 0.46215 \tabularnewline
46 & -0.023322 & -0.2137 & 0.41563 \tabularnewline
47 & -0.162307 & -1.4876 & 0.070304 \tabularnewline
48 & -0.033715 & -0.309 & 0.379043 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39893&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]0.148166[/C][C]1.358[/C][C]0.089055[/C][/ROW]
[ROW][C]2[/C][C]-0.19271[/C][C]-1.7662[/C][C]0.040497[/C][/ROW]
[ROW][C]3[/C][C]-0.170514[/C][C]-1.5628[/C][C]0.060931[/C][/ROW]
[ROW][C]4[/C][C]-0.231829[/C][C]-2.1247[/C][C]0.018273[/C][/ROW]
[ROW][C]5[/C][C]0.128185[/C][C]1.1748[/C][C]0.121691[/C][/ROW]
[ROW][C]6[/C][C]0.10882[/C][C]0.9974[/C][C]0.160729[/C][/ROW]
[ROW][C]7[/C][C]-0.014156[/C][C]-0.1297[/C][C]0.448539[/C][/ROW]
[ROW][C]8[/C][C]-0.251819[/C][C]-2.308[/C][C]0.01173[/C][/ROW]
[ROW][C]9[/C][C]-0.063138[/C][C]-0.5787[/C][C]0.282179[/C][/ROW]
[ROW][C]10[/C][C]-0.17535[/C][C]-1.6071[/C][C]0.055891[/C][/ROW]
[ROW][C]11[/C][C]0.118349[/C][C]1.0847[/C][C]0.140583[/C][/ROW]
[ROW][C]12[/C][C]0.666436[/C][C]6.108[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.096645[/C][C]-0.8858[/C][C]0.189135[/C][/ROW]
[ROW][C]14[/C][C]0.033552[/C][C]0.3075[/C][C]0.379609[/C][/ROW]
[ROW][C]15[/C][C]-0.074629[/C][C]-0.684[/C][C]0.247934[/C][/ROW]
[ROW][C]16[/C][C]-0.00073[/C][C]-0.0067[/C][C]0.497337[/C][/ROW]
[ROW][C]17[/C][C]-0.08196[/C][C]-0.7512[/C][C]0.227324[/C][/ROW]
[ROW][C]18[/C][C]-0.169914[/C][C]-1.5573[/C][C]0.061581[/C][/ROW]
[ROW][C]19[/C][C]0.018136[/C][C]0.1662[/C][C]0.434191[/C][/ROW]
[ROW][C]20[/C][C]-0.050182[/C][C]-0.4599[/C][C]0.32338[/C][/ROW]
[ROW][C]21[/C][C]-0.006859[/C][C]-0.0629[/C][C]0.475014[/C][/ROW]
[ROW][C]22[/C][C]0.063941[/C][C]0.586[/C][C]0.279714[/C][/ROW]
[ROW][C]23[/C][C]-0.214744[/C][C]-1.9682[/C][C]0.026174[/C][/ROW]
[ROW][C]24[/C][C]0.042729[/C][C]0.3916[/C][C]0.348168[/C][/ROW]
[ROW][C]25[/C][C]-0.004725[/C][C]-0.0433[/C][C]0.482779[/C][/ROW]
[ROW][C]26[/C][C]-0.036936[/C][C]-0.3385[/C][C]0.367907[/C][/ROW]
[ROW][C]27[/C][C]-0.048755[/C][C]-0.4468[/C][C]0.328067[/C][/ROW]
[ROW][C]28[/C][C]0.058968[/C][C]0.5404[/C][C]0.295159[/C][/ROW]
[ROW][C]29[/C][C]-0.086557[/C][C]-0.7933[/C][C]0.214917[/C][/ROW]
[ROW][C]30[/C][C]-0.022649[/C][C]-0.2076[/C][C]0.41803[/C][/ROW]
[ROW][C]31[/C][C]-0.045418[/C][C]-0.4163[/C][C]0.33914[/C][/ROW]
[ROW][C]32[/C][C]0.096867[/C][C]0.8878[/C][C]0.188591[/C][/ROW]
[ROW][C]33[/C][C]0.039592[/C][C]0.3629[/C][C]0.358809[/C][/ROW]
[ROW][C]34[/C][C]-0.078441[/C][C]-0.7189[/C][C]0.237092[/C][/ROW]
[ROW][C]35[/C][C]0.098793[/C][C]0.9055[/C][C]0.183908[/C][/ROW]
[ROW][C]36[/C][C]0.015315[/C][C]0.1404[/C][C]0.444354[/C][/ROW]
[ROW][C]37[/C][C]-0.034311[/C][C]-0.3145[/C][C]0.376972[/C][/ROW]
[ROW][C]38[/C][C]-0.071555[/C][C]-0.6558[/C][C]0.256868[/C][/ROW]
[ROW][C]39[/C][C]-0.049102[/C][C]-0.45[/C][C]0.326926[/C][/ROW]
[ROW][C]40[/C][C]0.021479[/C][C]0.1969[/C][C]0.422206[/C][/ROW]
[ROW][C]41[/C][C]-0.007242[/C][C]-0.0664[/C][C]0.473617[/C][/ROW]
[ROW][C]42[/C][C]0.070892[/C][C]0.6497[/C][C]0.258819[/C][/ROW]
[ROW][C]43[/C][C]-0.053795[/C][C]-0.493[/C][C]0.311636[/C][/ROW]
[ROW][C]44[/C][C]-0.125257[/C][C]-1.148[/C][C]0.127114[/C][/ROW]
[ROW][C]45[/C][C]-0.010398[/C][C]-0.0953[/C][C]0.46215[/C][/ROW]
[ROW][C]46[/C][C]-0.023322[/C][C]-0.2137[/C][C]0.41563[/C][/ROW]
[ROW][C]47[/C][C]-0.162307[/C][C]-1.4876[/C][C]0.070304[/C][/ROW]
[ROW][C]48[/C][C]-0.033715[/C][C]-0.309[/C][C]0.379043[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39893&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39893&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
10.1481661.3580.089055
2-0.19271-1.76620.040497
3-0.170514-1.56280.060931
4-0.231829-2.12470.018273
50.1281851.17480.121691
60.108820.99740.160729
7-0.014156-0.12970.448539
8-0.251819-2.3080.01173
9-0.063138-0.57870.282179
10-0.17535-1.60710.055891
110.1183491.08470.140583
120.6664366.1080
13-0.096645-0.88580.189135
140.0335520.30750.379609
15-0.074629-0.6840.247934
16-0.00073-0.00670.497337
17-0.08196-0.75120.227324
18-0.169914-1.55730.061581
190.0181360.16620.434191
20-0.050182-0.45990.32338
21-0.006859-0.06290.475014
220.0639410.5860.279714
23-0.214744-1.96820.026174
240.0427290.39160.348168
25-0.004725-0.04330.482779
26-0.036936-0.33850.367907
27-0.048755-0.44680.328067
280.0589680.54040.295159
29-0.086557-0.79330.214917
30-0.022649-0.20760.41803
31-0.045418-0.41630.33914
320.0968670.88780.188591
330.0395920.36290.358809
34-0.078441-0.71890.237092
350.0987930.90550.183908
360.0153150.14040.444354
37-0.034311-0.31450.376972
38-0.071555-0.65580.256868
39-0.049102-0.450.326926
400.0214790.19690.422206
41-0.007242-0.06640.473617
420.0708920.64970.258819
43-0.053795-0.4930.311636
44-0.125257-1.1480.127114
45-0.010398-0.09530.46215
46-0.023322-0.21370.41563
47-0.162307-1.48760.070304
48-0.033715-0.3090.379043



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')