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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, 18 Dec 2007 02:57:59 -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/Dec/18/t1197970974w4sz3x3yn5vogpi.htm/, Retrieved Sat, 04 May 2024 08:26:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4471, Retrieved Sat, 04 May 2024 08:26:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact234
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorr Benzine] [2007-12-18 09:57:59] [d02236afd58a58d13a748bbf41a37c2e] [Current]
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Dataseries X:
21797
22209
28135
29512
26714
30899
27148
24288
26019
24007
18195
17323
19504
23859
28852
30746
26956
31905
25956
24255
25045
22982
19304
18294
20417
21558
27369
28240
27201
31084
25306
24759
24276
20862
19437
15291
22515
22040
28398
26158
25081
28893
26504
22960
23792
20995
19765
14585
20480
21188
27994
27229
28804
29257
26377
24392
16949
22566
18000
16373




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4471&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4471&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4471&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.6088714.71637e-06
20.3386032.62280.00552
30.008480.06570.473924
4-0.36037-2.79140.996486
5-0.563124-4.36190.999974
6-0.634098-4.91170.999996
7-0.501664-3.88590.999871
8-0.316994-2.45540.991507
90.0471290.36510.358174
100.3204292.4820.00794
110.5309094.11246e-05
120.7185755.56610
130.4548143.5230.000411
140.2366041.83270.035903
15-0.01938-0.15010.559413
16-0.254024-1.96770.973133
17-0.430286-3.3330.999262
18-0.502594-3.89310.999874
19-0.373385-2.89220.997339
20-0.283328-2.19470.983965
210.0436230.33790.368307
220.2337821.81090.037584
230.4223243.27130.000889
240.5253754.06957e-05
250.3334692.5830.006124
260.1410281.09240.139513
27-0.066582-0.51570.696036
28-0.216423-1.67640.950569
29-0.332431-2.5750.993746
30-0.392354-3.03920.998244
31-0.277836-2.15210.982289
32-0.200563-1.55360.937225
330.0296170.22940.409665
340.1710741.32510.095076
350.2822292.18610.016359
360.3291592.54970.006678
370.228611.77080.040836
380.0787160.60970.27217
39-0.054018-0.41840.661433
40-0.140286-1.08670.859232
41-0.263473-2.04080.977164
42-0.277911-2.15270.982313
43-0.188159-1.45750.9249
44-0.125559-0.97260.832665
450.0124870.09670.461634
460.1212310.93910.175734
470.1686431.30630.098217
480.1642371.27220.10411
490.102850.79670.214392
500.0077940.06040.476029
51-0.047105-0.36490.641756
52-0.054531-0.42240.662877
53-0.114576-0.88750.810824
54-0.104642-0.81060.789588
55-0.044645-0.34580.634657
56-0.045357-0.35130.636715
57-0.016266-0.1260.549921
580.0254250.19690.422269
590.0158750.1230.451271

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.608871 & 4.7163 & 7e-06 \tabularnewline
2 & 0.338603 & 2.6228 & 0.00552 \tabularnewline
3 & 0.00848 & 0.0657 & 0.473924 \tabularnewline
4 & -0.36037 & -2.7914 & 0.996486 \tabularnewline
5 & -0.563124 & -4.3619 & 0.999974 \tabularnewline
6 & -0.634098 & -4.9117 & 0.999996 \tabularnewline
7 & -0.501664 & -3.8859 & 0.999871 \tabularnewline
8 & -0.316994 & -2.4554 & 0.991507 \tabularnewline
9 & 0.047129 & 0.3651 & 0.358174 \tabularnewline
10 & 0.320429 & 2.482 & 0.00794 \tabularnewline
11 & 0.530909 & 4.1124 & 6e-05 \tabularnewline
12 & 0.718575 & 5.5661 & 0 \tabularnewline
13 & 0.454814 & 3.523 & 0.000411 \tabularnewline
14 & 0.236604 & 1.8327 & 0.035903 \tabularnewline
15 & -0.01938 & -0.1501 & 0.559413 \tabularnewline
16 & -0.254024 & -1.9677 & 0.973133 \tabularnewline
17 & -0.430286 & -3.333 & 0.999262 \tabularnewline
18 & -0.502594 & -3.8931 & 0.999874 \tabularnewline
19 & -0.373385 & -2.8922 & 0.997339 \tabularnewline
20 & -0.283328 & -2.1947 & 0.983965 \tabularnewline
21 & 0.043623 & 0.3379 & 0.368307 \tabularnewline
22 & 0.233782 & 1.8109 & 0.037584 \tabularnewline
23 & 0.422324 & 3.2713 & 0.000889 \tabularnewline
24 & 0.525375 & 4.0695 & 7e-05 \tabularnewline
25 & 0.333469 & 2.583 & 0.006124 \tabularnewline
26 & 0.141028 & 1.0924 & 0.139513 \tabularnewline
27 & -0.066582 & -0.5157 & 0.696036 \tabularnewline
28 & -0.216423 & -1.6764 & 0.950569 \tabularnewline
29 & -0.332431 & -2.575 & 0.993746 \tabularnewline
30 & -0.392354 & -3.0392 & 0.998244 \tabularnewline
31 & -0.277836 & -2.1521 & 0.982289 \tabularnewline
32 & -0.200563 & -1.5536 & 0.937225 \tabularnewline
33 & 0.029617 & 0.2294 & 0.409665 \tabularnewline
34 & 0.171074 & 1.3251 & 0.095076 \tabularnewline
35 & 0.282229 & 2.1861 & 0.016359 \tabularnewline
36 & 0.329159 & 2.5497 & 0.006678 \tabularnewline
37 & 0.22861 & 1.7708 & 0.040836 \tabularnewline
38 & 0.078716 & 0.6097 & 0.27217 \tabularnewline
39 & -0.054018 & -0.4184 & 0.661433 \tabularnewline
40 & -0.140286 & -1.0867 & 0.859232 \tabularnewline
41 & -0.263473 & -2.0408 & 0.977164 \tabularnewline
42 & -0.277911 & -2.1527 & 0.982313 \tabularnewline
43 & -0.188159 & -1.4575 & 0.9249 \tabularnewline
44 & -0.125559 & -0.9726 & 0.832665 \tabularnewline
45 & 0.012487 & 0.0967 & 0.461634 \tabularnewline
46 & 0.121231 & 0.9391 & 0.175734 \tabularnewline
47 & 0.168643 & 1.3063 & 0.098217 \tabularnewline
48 & 0.164237 & 1.2722 & 0.10411 \tabularnewline
49 & 0.10285 & 0.7967 & 0.214392 \tabularnewline
50 & 0.007794 & 0.0604 & 0.476029 \tabularnewline
51 & -0.047105 & -0.3649 & 0.641756 \tabularnewline
52 & -0.054531 & -0.4224 & 0.662877 \tabularnewline
53 & -0.114576 & -0.8875 & 0.810824 \tabularnewline
54 & -0.104642 & -0.8106 & 0.789588 \tabularnewline
55 & -0.044645 & -0.3458 & 0.634657 \tabularnewline
56 & -0.045357 & -0.3513 & 0.636715 \tabularnewline
57 & -0.016266 & -0.126 & 0.549921 \tabularnewline
58 & 0.025425 & 0.1969 & 0.422269 \tabularnewline
59 & 0.015875 & 0.123 & 0.451271 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4471&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.608871[/C][C]4.7163[/C][C]7e-06[/C][/ROW]
[ROW][C]2[/C][C]0.338603[/C][C]2.6228[/C][C]0.00552[/C][/ROW]
[ROW][C]3[/C][C]0.00848[/C][C]0.0657[/C][C]0.473924[/C][/ROW]
[ROW][C]4[/C][C]-0.36037[/C][C]-2.7914[/C][C]0.996486[/C][/ROW]
[ROW][C]5[/C][C]-0.563124[/C][C]-4.3619[/C][C]0.999974[/C][/ROW]
[ROW][C]6[/C][C]-0.634098[/C][C]-4.9117[/C][C]0.999996[/C][/ROW]
[ROW][C]7[/C][C]-0.501664[/C][C]-3.8859[/C][C]0.999871[/C][/ROW]
[ROW][C]8[/C][C]-0.316994[/C][C]-2.4554[/C][C]0.991507[/C][/ROW]
[ROW][C]9[/C][C]0.047129[/C][C]0.3651[/C][C]0.358174[/C][/ROW]
[ROW][C]10[/C][C]0.320429[/C][C]2.482[/C][C]0.00794[/C][/ROW]
[ROW][C]11[/C][C]0.530909[/C][C]4.1124[/C][C]6e-05[/C][/ROW]
[ROW][C]12[/C][C]0.718575[/C][C]5.5661[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.454814[/C][C]3.523[/C][C]0.000411[/C][/ROW]
[ROW][C]14[/C][C]0.236604[/C][C]1.8327[/C][C]0.035903[/C][/ROW]
[ROW][C]15[/C][C]-0.01938[/C][C]-0.1501[/C][C]0.559413[/C][/ROW]
[ROW][C]16[/C][C]-0.254024[/C][C]-1.9677[/C][C]0.973133[/C][/ROW]
[ROW][C]17[/C][C]-0.430286[/C][C]-3.333[/C][C]0.999262[/C][/ROW]
[ROW][C]18[/C][C]-0.502594[/C][C]-3.8931[/C][C]0.999874[/C][/ROW]
[ROW][C]19[/C][C]-0.373385[/C][C]-2.8922[/C][C]0.997339[/C][/ROW]
[ROW][C]20[/C][C]-0.283328[/C][C]-2.1947[/C][C]0.983965[/C][/ROW]
[ROW][C]21[/C][C]0.043623[/C][C]0.3379[/C][C]0.368307[/C][/ROW]
[ROW][C]22[/C][C]0.233782[/C][C]1.8109[/C][C]0.037584[/C][/ROW]
[ROW][C]23[/C][C]0.422324[/C][C]3.2713[/C][C]0.000889[/C][/ROW]
[ROW][C]24[/C][C]0.525375[/C][C]4.0695[/C][C]7e-05[/C][/ROW]
[ROW][C]25[/C][C]0.333469[/C][C]2.583[/C][C]0.006124[/C][/ROW]
[ROW][C]26[/C][C]0.141028[/C][C]1.0924[/C][C]0.139513[/C][/ROW]
[ROW][C]27[/C][C]-0.066582[/C][C]-0.5157[/C][C]0.696036[/C][/ROW]
[ROW][C]28[/C][C]-0.216423[/C][C]-1.6764[/C][C]0.950569[/C][/ROW]
[ROW][C]29[/C][C]-0.332431[/C][C]-2.575[/C][C]0.993746[/C][/ROW]
[ROW][C]30[/C][C]-0.392354[/C][C]-3.0392[/C][C]0.998244[/C][/ROW]
[ROW][C]31[/C][C]-0.277836[/C][C]-2.1521[/C][C]0.982289[/C][/ROW]
[ROW][C]32[/C][C]-0.200563[/C][C]-1.5536[/C][C]0.937225[/C][/ROW]
[ROW][C]33[/C][C]0.029617[/C][C]0.2294[/C][C]0.409665[/C][/ROW]
[ROW][C]34[/C][C]0.171074[/C][C]1.3251[/C][C]0.095076[/C][/ROW]
[ROW][C]35[/C][C]0.282229[/C][C]2.1861[/C][C]0.016359[/C][/ROW]
[ROW][C]36[/C][C]0.329159[/C][C]2.5497[/C][C]0.006678[/C][/ROW]
[ROW][C]37[/C][C]0.22861[/C][C]1.7708[/C][C]0.040836[/C][/ROW]
[ROW][C]38[/C][C]0.078716[/C][C]0.6097[/C][C]0.27217[/C][/ROW]
[ROW][C]39[/C][C]-0.054018[/C][C]-0.4184[/C][C]0.661433[/C][/ROW]
[ROW][C]40[/C][C]-0.140286[/C][C]-1.0867[/C][C]0.859232[/C][/ROW]
[ROW][C]41[/C][C]-0.263473[/C][C]-2.0408[/C][C]0.977164[/C][/ROW]
[ROW][C]42[/C][C]-0.277911[/C][C]-2.1527[/C][C]0.982313[/C][/ROW]
[ROW][C]43[/C][C]-0.188159[/C][C]-1.4575[/C][C]0.9249[/C][/ROW]
[ROW][C]44[/C][C]-0.125559[/C][C]-0.9726[/C][C]0.832665[/C][/ROW]
[ROW][C]45[/C][C]0.012487[/C][C]0.0967[/C][C]0.461634[/C][/ROW]
[ROW][C]46[/C][C]0.121231[/C][C]0.9391[/C][C]0.175734[/C][/ROW]
[ROW][C]47[/C][C]0.168643[/C][C]1.3063[/C][C]0.098217[/C][/ROW]
[ROW][C]48[/C][C]0.164237[/C][C]1.2722[/C][C]0.10411[/C][/ROW]
[ROW][C]49[/C][C]0.10285[/C][C]0.7967[/C][C]0.214392[/C][/ROW]
[ROW][C]50[/C][C]0.007794[/C][C]0.0604[/C][C]0.476029[/C][/ROW]
[ROW][C]51[/C][C]-0.047105[/C][C]-0.3649[/C][C]0.641756[/C][/ROW]
[ROW][C]52[/C][C]-0.054531[/C][C]-0.4224[/C][C]0.662877[/C][/ROW]
[ROW][C]53[/C][C]-0.114576[/C][C]-0.8875[/C][C]0.810824[/C][/ROW]
[ROW][C]54[/C][C]-0.104642[/C][C]-0.8106[/C][C]0.789588[/C][/ROW]
[ROW][C]55[/C][C]-0.044645[/C][C]-0.3458[/C][C]0.634657[/C][/ROW]
[ROW][C]56[/C][C]-0.045357[/C][C]-0.3513[/C][C]0.636715[/C][/ROW]
[ROW][C]57[/C][C]-0.016266[/C][C]-0.126[/C][C]0.549921[/C][/ROW]
[ROW][C]58[/C][C]0.025425[/C][C]0.1969[/C][C]0.422269[/C][/ROW]
[ROW][C]59[/C][C]0.015875[/C][C]0.123[/C][C]0.451271[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4471&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4471&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
017.7460
10.6088714.71637e-06
20.3386032.62280.00552
30.008480.06570.473924
4-0.36037-2.79140.996486
5-0.563124-4.36190.999974
6-0.634098-4.91170.999996
7-0.501664-3.88590.999871
8-0.316994-2.45540.991507
90.0471290.36510.358174
100.3204292.4820.00794
110.5309094.11246e-05
120.7185755.56610
130.4548143.5230.000411
140.2366041.83270.035903
15-0.01938-0.15010.559413
16-0.254024-1.96770.973133
17-0.430286-3.3330.999262
18-0.502594-3.89310.999874
19-0.373385-2.89220.997339
20-0.283328-2.19470.983965
210.0436230.33790.368307
220.2337821.81090.037584
230.4223243.27130.000889
240.5253754.06957e-05
250.3334692.5830.006124
260.1410281.09240.139513
27-0.066582-0.51570.696036
28-0.216423-1.67640.950569
29-0.332431-2.5750.993746
30-0.392354-3.03920.998244
31-0.277836-2.15210.982289
32-0.200563-1.55360.937225
330.0296170.22940.409665
340.1710741.32510.095076
350.2822292.18610.016359
360.3291592.54970.006678
370.228611.77080.040836
380.0787160.60970.27217
39-0.054018-0.41840.661433
40-0.140286-1.08670.859232
41-0.263473-2.04080.977164
42-0.277911-2.15270.982313
43-0.188159-1.45750.9249
44-0.125559-0.97260.832665
450.0124870.09670.461634
460.1212310.93910.175734
470.1686431.30630.098217
480.1642371.27220.10411
490.102850.79670.214392
500.0077940.06040.476029
51-0.047105-0.36490.641756
52-0.054531-0.42240.662877
53-0.114576-0.88750.810824
54-0.104642-0.81060.789588
55-0.044645-0.34580.634657
56-0.045357-0.35130.636715
57-0.016266-0.1260.549921
580.0254250.19690.422269
590.0158750.1230.451271







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.6088714.71637e-06
1-0.051044-0.39540.653019
2-0.282218-2.18610.983638
3-0.411515-3.18760.99886
4-0.254558-1.97180.973376
5-0.20582-1.59430.941935
6-0.038832-0.30080.617694
7-0.144288-1.11760.865914
80.1451851.12460.132618
90.0510150.39520.347064
100.1386131.07370.14363
110.3747722.9030.002582
12-0.236132-1.82910.96382
13-0.016522-0.1280.550704
140.122870.95170.172521
150.2151451.66650.050412
160.0522450.40470.343573
17-0.094134-0.72920.76563
180.0538120.41680.339146
19-0.100701-0.780.780779
200.1392451.07860.142544
21-0.050576-0.39180.651689
220.0721550.55890.289152
23-0.000543-0.00420.50167
24-0.086813-0.67250.748061
25-0.142634-1.10480.863179
26-0.032301-0.25020.598357
270.028670.22210.412505
280.1242530.96250.169841
29-0.116958-0.9060.815708
30-0.062644-0.48520.685364
31-0.054275-0.42040.662156
32-0.066056-0.51170.694619
33-0.002645-0.02050.50814
34-0.124354-0.96320.830354
35-0.015523-0.12020.547654
360.0855690.66280.254993
37-0.100413-0.77780.780127
38-0.008052-0.06240.524761
39-0.115847-0.89730.81344
40-0.045886-0.35540.638244
410.0900980.69790.243969
420.0830670.64340.261197
43-0.005951-0.04610.518308
44-0.130127-1.0080.841239
45-0.024264-0.1880.574226
46-0.042262-0.32740.627732
47-0.105578-0.81780.791648
480.0145380.11260.455357
49-0.015138-0.11730.546475
500.118480.91770.181214
510.014120.10940.456636
52-0.051062-0.39550.653072
530.0271810.21050.416978
540.062180.48160.315904
550.0022090.01710.493202
56-0.001233-0.00960.503795
57-0.070033-0.54250.705248
580.046720.36190.359351
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.608871 & 4.7163 & 7e-06 \tabularnewline
1 & -0.051044 & -0.3954 & 0.653019 \tabularnewline
2 & -0.282218 & -2.1861 & 0.983638 \tabularnewline
3 & -0.411515 & -3.1876 & 0.99886 \tabularnewline
4 & -0.254558 & -1.9718 & 0.973376 \tabularnewline
5 & -0.20582 & -1.5943 & 0.941935 \tabularnewline
6 & -0.038832 & -0.3008 & 0.617694 \tabularnewline
7 & -0.144288 & -1.1176 & 0.865914 \tabularnewline
8 & 0.145185 & 1.1246 & 0.132618 \tabularnewline
9 & 0.051015 & 0.3952 & 0.347064 \tabularnewline
10 & 0.138613 & 1.0737 & 0.14363 \tabularnewline
11 & 0.374772 & 2.903 & 0.002582 \tabularnewline
12 & -0.236132 & -1.8291 & 0.96382 \tabularnewline
13 & -0.016522 & -0.128 & 0.550704 \tabularnewline
14 & 0.12287 & 0.9517 & 0.172521 \tabularnewline
15 & 0.215145 & 1.6665 & 0.050412 \tabularnewline
16 & 0.052245 & 0.4047 & 0.343573 \tabularnewline
17 & -0.094134 & -0.7292 & 0.76563 \tabularnewline
18 & 0.053812 & 0.4168 & 0.339146 \tabularnewline
19 & -0.100701 & -0.78 & 0.780779 \tabularnewline
20 & 0.139245 & 1.0786 & 0.142544 \tabularnewline
21 & -0.050576 & -0.3918 & 0.651689 \tabularnewline
22 & 0.072155 & 0.5589 & 0.289152 \tabularnewline
23 & -0.000543 & -0.0042 & 0.50167 \tabularnewline
24 & -0.086813 & -0.6725 & 0.748061 \tabularnewline
25 & -0.142634 & -1.1048 & 0.863179 \tabularnewline
26 & -0.032301 & -0.2502 & 0.598357 \tabularnewline
27 & 0.02867 & 0.2221 & 0.412505 \tabularnewline
28 & 0.124253 & 0.9625 & 0.169841 \tabularnewline
29 & -0.116958 & -0.906 & 0.815708 \tabularnewline
30 & -0.062644 & -0.4852 & 0.685364 \tabularnewline
31 & -0.054275 & -0.4204 & 0.662156 \tabularnewline
32 & -0.066056 & -0.5117 & 0.694619 \tabularnewline
33 & -0.002645 & -0.0205 & 0.50814 \tabularnewline
34 & -0.124354 & -0.9632 & 0.830354 \tabularnewline
35 & -0.015523 & -0.1202 & 0.547654 \tabularnewline
36 & 0.085569 & 0.6628 & 0.254993 \tabularnewline
37 & -0.100413 & -0.7778 & 0.780127 \tabularnewline
38 & -0.008052 & -0.0624 & 0.524761 \tabularnewline
39 & -0.115847 & -0.8973 & 0.81344 \tabularnewline
40 & -0.045886 & -0.3554 & 0.638244 \tabularnewline
41 & 0.090098 & 0.6979 & 0.243969 \tabularnewline
42 & 0.083067 & 0.6434 & 0.261197 \tabularnewline
43 & -0.005951 & -0.0461 & 0.518308 \tabularnewline
44 & -0.130127 & -1.008 & 0.841239 \tabularnewline
45 & -0.024264 & -0.188 & 0.574226 \tabularnewline
46 & -0.042262 & -0.3274 & 0.627732 \tabularnewline
47 & -0.105578 & -0.8178 & 0.791648 \tabularnewline
48 & 0.014538 & 0.1126 & 0.455357 \tabularnewline
49 & -0.015138 & -0.1173 & 0.546475 \tabularnewline
50 & 0.11848 & 0.9177 & 0.181214 \tabularnewline
51 & 0.01412 & 0.1094 & 0.456636 \tabularnewline
52 & -0.051062 & -0.3955 & 0.653072 \tabularnewline
53 & 0.027181 & 0.2105 & 0.416978 \tabularnewline
54 & 0.06218 & 0.4816 & 0.315904 \tabularnewline
55 & 0.002209 & 0.0171 & 0.493202 \tabularnewline
56 & -0.001233 & -0.0096 & 0.503795 \tabularnewline
57 & -0.070033 & -0.5425 & 0.705248 \tabularnewline
58 & 0.04672 & 0.3619 & 0.359351 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4471&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]0.608871[/C][C]4.7163[/C][C]7e-06[/C][/ROW]
[ROW][C]1[/C][C]-0.051044[/C][C]-0.3954[/C][C]0.653019[/C][/ROW]
[ROW][C]2[/C][C]-0.282218[/C][C]-2.1861[/C][C]0.983638[/C][/ROW]
[ROW][C]3[/C][C]-0.411515[/C][C]-3.1876[/C][C]0.99886[/C][/ROW]
[ROW][C]4[/C][C]-0.254558[/C][C]-1.9718[/C][C]0.973376[/C][/ROW]
[ROW][C]5[/C][C]-0.20582[/C][C]-1.5943[/C][C]0.941935[/C][/ROW]
[ROW][C]6[/C][C]-0.038832[/C][C]-0.3008[/C][C]0.617694[/C][/ROW]
[ROW][C]7[/C][C]-0.144288[/C][C]-1.1176[/C][C]0.865914[/C][/ROW]
[ROW][C]8[/C][C]0.145185[/C][C]1.1246[/C][C]0.132618[/C][/ROW]
[ROW][C]9[/C][C]0.051015[/C][C]0.3952[/C][C]0.347064[/C][/ROW]
[ROW][C]10[/C][C]0.138613[/C][C]1.0737[/C][C]0.14363[/C][/ROW]
[ROW][C]11[/C][C]0.374772[/C][C]2.903[/C][C]0.002582[/C][/ROW]
[ROW][C]12[/C][C]-0.236132[/C][C]-1.8291[/C][C]0.96382[/C][/ROW]
[ROW][C]13[/C][C]-0.016522[/C][C]-0.128[/C][C]0.550704[/C][/ROW]
[ROW][C]14[/C][C]0.12287[/C][C]0.9517[/C][C]0.172521[/C][/ROW]
[ROW][C]15[/C][C]0.215145[/C][C]1.6665[/C][C]0.050412[/C][/ROW]
[ROW][C]16[/C][C]0.052245[/C][C]0.4047[/C][C]0.343573[/C][/ROW]
[ROW][C]17[/C][C]-0.094134[/C][C]-0.7292[/C][C]0.76563[/C][/ROW]
[ROW][C]18[/C][C]0.053812[/C][C]0.4168[/C][C]0.339146[/C][/ROW]
[ROW][C]19[/C][C]-0.100701[/C][C]-0.78[/C][C]0.780779[/C][/ROW]
[ROW][C]20[/C][C]0.139245[/C][C]1.0786[/C][C]0.142544[/C][/ROW]
[ROW][C]21[/C][C]-0.050576[/C][C]-0.3918[/C][C]0.651689[/C][/ROW]
[ROW][C]22[/C][C]0.072155[/C][C]0.5589[/C][C]0.289152[/C][/ROW]
[ROW][C]23[/C][C]-0.000543[/C][C]-0.0042[/C][C]0.50167[/C][/ROW]
[ROW][C]24[/C][C]-0.086813[/C][C]-0.6725[/C][C]0.748061[/C][/ROW]
[ROW][C]25[/C][C]-0.142634[/C][C]-1.1048[/C][C]0.863179[/C][/ROW]
[ROW][C]26[/C][C]-0.032301[/C][C]-0.2502[/C][C]0.598357[/C][/ROW]
[ROW][C]27[/C][C]0.02867[/C][C]0.2221[/C][C]0.412505[/C][/ROW]
[ROW][C]28[/C][C]0.124253[/C][C]0.9625[/C][C]0.169841[/C][/ROW]
[ROW][C]29[/C][C]-0.116958[/C][C]-0.906[/C][C]0.815708[/C][/ROW]
[ROW][C]30[/C][C]-0.062644[/C][C]-0.4852[/C][C]0.685364[/C][/ROW]
[ROW][C]31[/C][C]-0.054275[/C][C]-0.4204[/C][C]0.662156[/C][/ROW]
[ROW][C]32[/C][C]-0.066056[/C][C]-0.5117[/C][C]0.694619[/C][/ROW]
[ROW][C]33[/C][C]-0.002645[/C][C]-0.0205[/C][C]0.50814[/C][/ROW]
[ROW][C]34[/C][C]-0.124354[/C][C]-0.9632[/C][C]0.830354[/C][/ROW]
[ROW][C]35[/C][C]-0.015523[/C][C]-0.1202[/C][C]0.547654[/C][/ROW]
[ROW][C]36[/C][C]0.085569[/C][C]0.6628[/C][C]0.254993[/C][/ROW]
[ROW][C]37[/C][C]-0.100413[/C][C]-0.7778[/C][C]0.780127[/C][/ROW]
[ROW][C]38[/C][C]-0.008052[/C][C]-0.0624[/C][C]0.524761[/C][/ROW]
[ROW][C]39[/C][C]-0.115847[/C][C]-0.8973[/C][C]0.81344[/C][/ROW]
[ROW][C]40[/C][C]-0.045886[/C][C]-0.3554[/C][C]0.638244[/C][/ROW]
[ROW][C]41[/C][C]0.090098[/C][C]0.6979[/C][C]0.243969[/C][/ROW]
[ROW][C]42[/C][C]0.083067[/C][C]0.6434[/C][C]0.261197[/C][/ROW]
[ROW][C]43[/C][C]-0.005951[/C][C]-0.0461[/C][C]0.518308[/C][/ROW]
[ROW][C]44[/C][C]-0.130127[/C][C]-1.008[/C][C]0.841239[/C][/ROW]
[ROW][C]45[/C][C]-0.024264[/C][C]-0.188[/C][C]0.574226[/C][/ROW]
[ROW][C]46[/C][C]-0.042262[/C][C]-0.3274[/C][C]0.627732[/C][/ROW]
[ROW][C]47[/C][C]-0.105578[/C][C]-0.8178[/C][C]0.791648[/C][/ROW]
[ROW][C]48[/C][C]0.014538[/C][C]0.1126[/C][C]0.455357[/C][/ROW]
[ROW][C]49[/C][C]-0.015138[/C][C]-0.1173[/C][C]0.546475[/C][/ROW]
[ROW][C]50[/C][C]0.11848[/C][C]0.9177[/C][C]0.181214[/C][/ROW]
[ROW][C]51[/C][C]0.01412[/C][C]0.1094[/C][C]0.456636[/C][/ROW]
[ROW][C]52[/C][C]-0.051062[/C][C]-0.3955[/C][C]0.653072[/C][/ROW]
[ROW][C]53[/C][C]0.027181[/C][C]0.2105[/C][C]0.416978[/C][/ROW]
[ROW][C]54[/C][C]0.06218[/C][C]0.4816[/C][C]0.315904[/C][/ROW]
[ROW][C]55[/C][C]0.002209[/C][C]0.0171[/C][C]0.493202[/C][/ROW]
[ROW][C]56[/C][C]-0.001233[/C][C]-0.0096[/C][C]0.503795[/C][/ROW]
[ROW][C]57[/C][C]-0.070033[/C][C]-0.5425[/C][C]0.705248[/C][/ROW]
[ROW][C]58[/C][C]0.04672[/C][C]0.3619[/C][C]0.359351[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4471&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4471&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
00.6088714.71637e-06
1-0.051044-0.39540.653019
2-0.282218-2.18610.983638
3-0.411515-3.18760.99886
4-0.254558-1.97180.973376
5-0.20582-1.59430.941935
6-0.038832-0.30080.617694
7-0.144288-1.11760.865914
80.1451851.12460.132618
90.0510150.39520.347064
100.1386131.07370.14363
110.3747722.9030.002582
12-0.236132-1.82910.96382
13-0.016522-0.1280.550704
140.122870.95170.172521
150.2151451.66650.050412
160.0522450.40470.343573
17-0.094134-0.72920.76563
180.0538120.41680.339146
19-0.100701-0.780.780779
200.1392451.07860.142544
21-0.050576-0.39180.651689
220.0721550.55890.289152
23-0.000543-0.00420.50167
24-0.086813-0.67250.748061
25-0.142634-1.10480.863179
26-0.032301-0.25020.598357
270.028670.22210.412505
280.1242530.96250.169841
29-0.116958-0.9060.815708
30-0.062644-0.48520.685364
31-0.054275-0.42040.662156
32-0.066056-0.51170.694619
33-0.002645-0.02050.50814
34-0.124354-0.96320.830354
35-0.015523-0.12020.547654
360.0855690.66280.254993
37-0.100413-0.77780.780127
38-0.008052-0.06240.524761
39-0.115847-0.89730.81344
40-0.045886-0.35540.638244
410.0900980.69790.243969
420.0830670.64340.261197
43-0.005951-0.04610.518308
44-0.130127-1.0080.841239
45-0.024264-0.1880.574226
46-0.042262-0.32740.627732
47-0.105578-0.81780.791648
480.0145380.11260.455357
49-0.015138-0.11730.546475
500.118480.91770.181214
510.014120.10940.456636
52-0.051062-0.39550.653072
530.0271810.21050.416978
540.062180.48160.315904
550.0022090.01710.493202
56-0.001233-0.00960.503795
57-0.070033-0.54250.705248
580.046720.36190.359351
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')