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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, 16 Dec 2008 11:55:35 -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/16/t1229453788gbp2z51g76urbn0.htm/, Retrieved Thu, 16 May 2024 03:08:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34111, Retrieved Thu, 16 May 2024 03:08:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper autocorr D,d 0,0 werk
Estimated Impact236
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [(Partial) Autocorrelation Function] [Paper: autocorrel...] [2008-12-05 10:20:24] [27f46dbe13ae2811dfd3a6f3c54d4d50]
-         [(Partial) Autocorrelation Function] [paper autocorr D,...] [2008-12-16 18:55:35] [e9c861930c027d1bae8828281431911e] [Current]
-    D      [(Partial) Autocorrelation Function] [paper auto D,d 0,...] [2008-12-18 14:00:03] [5de5fb433ddcb9578e0fa830f795b7e9]
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Dataseries X:
95.20
95.00
94.00
92.20
91.00
91.20
103.40
105.00
104.60
103.80
101.80
102.40
103.80
103.40
102.00
101.80
100.20
101.40
113.80
116.00
115.60
113.00
109.40
111.00
112.40
112.20
111.00
108.80
107.40
108.60
118.80
122.20
122.60
122.20
118.80
119.00
118.20
117.80
116.80
114.60
113.40
113.80
124.20
125.80
125.60
122.40
119.00
119.40
118.60
118.00
116.00
114.80
114.60
114.60
124.00
125.20
124.00
117.60
113.20
111.40
112.20
109.80
106.40
105.20
102.20
99.80
111.00
113.00
108.40
105.40
102.00
102.80




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=34111&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=34111&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34111&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
10.884797.50770
20.7243236.14610
30.5926285.02862e-06
40.512294.34692.2e-05
50.4842484.1095.2e-05
60.4449073.77520.000163
70.3949153.3510.000643
80.34272.90790.002417
90.33392.83320.002987
100.3678173.1210.001297
110.4192483.55740.000334
120.4364233.70320.000207
130.323592.74580.00381
140.1748191.48340.071168
150.0499110.42350.336594
16-0.015671-0.1330.447291
17-0.038357-0.32550.372884
18-0.065117-0.55250.291146
19-0.088759-0.75310.226908
20-0.114711-0.97340.166818
21-0.109502-0.92920.177956
22-0.076948-0.65290.257941
23-0.039722-0.33710.368529
24-0.025056-0.21260.416118
25-0.106588-0.90440.184392
26-0.217209-1.84310.034716
27-0.302694-2.56840.006145
28-0.346029-2.93620.002229
29-0.355523-3.01670.001765
30-0.366563-3.11040.001339
31-0.374693-3.17940.001088
32-0.378363-3.21050.00099
33-0.352806-2.99370.001888
34-0.302239-2.56460.006208
35-0.250485-2.12540.018491
36-0.216003-1.83280.03548
37-0.260124-2.20720.015243
38-0.323174-2.74220.003847
39-0.361391-3.06650.001525
40-0.364163-3.090.001422
41-0.342039-2.90230.002456
42-0.32475-2.75560.003708
43-0.305752-2.59440.005737
44-0.289622-2.45750.008199
45-0.251784-2.13650.018021
46-0.202469-1.7180.045047
47-0.151628-1.28660.101176
48-0.10708-0.90860.183294
49-0.121406-1.03020.15319
50-0.151308-1.28390.101648
51-0.161374-1.36930.08758
52-0.143908-1.22110.113017
53-0.105908-0.89870.185914
54-0.069314-0.58810.279137
55-0.034665-0.29410.384749
560.0007470.00630.49748
570.0447570.37980.352614
580.0775760.65830.256236
590.1067060.90540.18413
600.1304241.10670.136057

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.88479 & 7.5077 & 0 \tabularnewline
2 & 0.724323 & 6.1461 & 0 \tabularnewline
3 & 0.592628 & 5.0286 & 2e-06 \tabularnewline
4 & 0.51229 & 4.3469 & 2.2e-05 \tabularnewline
5 & 0.484248 & 4.109 & 5.2e-05 \tabularnewline
6 & 0.444907 & 3.7752 & 0.000163 \tabularnewline
7 & 0.394915 & 3.351 & 0.000643 \tabularnewline
8 & 0.3427 & 2.9079 & 0.002417 \tabularnewline
9 & 0.3339 & 2.8332 & 0.002987 \tabularnewline
10 & 0.367817 & 3.121 & 0.001297 \tabularnewline
11 & 0.419248 & 3.5574 & 0.000334 \tabularnewline
12 & 0.436423 & 3.7032 & 0.000207 \tabularnewline
13 & 0.32359 & 2.7458 & 0.00381 \tabularnewline
14 & 0.174819 & 1.4834 & 0.071168 \tabularnewline
15 & 0.049911 & 0.4235 & 0.336594 \tabularnewline
16 & -0.015671 & -0.133 & 0.447291 \tabularnewline
17 & -0.038357 & -0.3255 & 0.372884 \tabularnewline
18 & -0.065117 & -0.5525 & 0.291146 \tabularnewline
19 & -0.088759 & -0.7531 & 0.226908 \tabularnewline
20 & -0.114711 & -0.9734 & 0.166818 \tabularnewline
21 & -0.109502 & -0.9292 & 0.177956 \tabularnewline
22 & -0.076948 & -0.6529 & 0.257941 \tabularnewline
23 & -0.039722 & -0.3371 & 0.368529 \tabularnewline
24 & -0.025056 & -0.2126 & 0.416118 \tabularnewline
25 & -0.106588 & -0.9044 & 0.184392 \tabularnewline
26 & -0.217209 & -1.8431 & 0.034716 \tabularnewline
27 & -0.302694 & -2.5684 & 0.006145 \tabularnewline
28 & -0.346029 & -2.9362 & 0.002229 \tabularnewline
29 & -0.355523 & -3.0167 & 0.001765 \tabularnewline
30 & -0.366563 & -3.1104 & 0.001339 \tabularnewline
31 & -0.374693 & -3.1794 & 0.001088 \tabularnewline
32 & -0.378363 & -3.2105 & 0.00099 \tabularnewline
33 & -0.352806 & -2.9937 & 0.001888 \tabularnewline
34 & -0.302239 & -2.5646 & 0.006208 \tabularnewline
35 & -0.250485 & -2.1254 & 0.018491 \tabularnewline
36 & -0.216003 & -1.8328 & 0.03548 \tabularnewline
37 & -0.260124 & -2.2072 & 0.015243 \tabularnewline
38 & -0.323174 & -2.7422 & 0.003847 \tabularnewline
39 & -0.361391 & -3.0665 & 0.001525 \tabularnewline
40 & -0.364163 & -3.09 & 0.001422 \tabularnewline
41 & -0.342039 & -2.9023 & 0.002456 \tabularnewline
42 & -0.32475 & -2.7556 & 0.003708 \tabularnewline
43 & -0.305752 & -2.5944 & 0.005737 \tabularnewline
44 & -0.289622 & -2.4575 & 0.008199 \tabularnewline
45 & -0.251784 & -2.1365 & 0.018021 \tabularnewline
46 & -0.202469 & -1.718 & 0.045047 \tabularnewline
47 & -0.151628 & -1.2866 & 0.101176 \tabularnewline
48 & -0.10708 & -0.9086 & 0.183294 \tabularnewline
49 & -0.121406 & -1.0302 & 0.15319 \tabularnewline
50 & -0.151308 & -1.2839 & 0.101648 \tabularnewline
51 & -0.161374 & -1.3693 & 0.08758 \tabularnewline
52 & -0.143908 & -1.2211 & 0.113017 \tabularnewline
53 & -0.105908 & -0.8987 & 0.185914 \tabularnewline
54 & -0.069314 & -0.5881 & 0.279137 \tabularnewline
55 & -0.034665 & -0.2941 & 0.384749 \tabularnewline
56 & 0.000747 & 0.0063 & 0.49748 \tabularnewline
57 & 0.044757 & 0.3798 & 0.352614 \tabularnewline
58 & 0.077576 & 0.6583 & 0.256236 \tabularnewline
59 & 0.106706 & 0.9054 & 0.18413 \tabularnewline
60 & 0.130424 & 1.1067 & 0.136057 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34111&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]0.88479[/C][C]7.5077[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.724323[/C][C]6.1461[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.592628[/C][C]5.0286[/C][C]2e-06[/C][/ROW]
[ROW][C]4[/C][C]0.51229[/C][C]4.3469[/C][C]2.2e-05[/C][/ROW]
[ROW][C]5[/C][C]0.484248[/C][C]4.109[/C][C]5.2e-05[/C][/ROW]
[ROW][C]6[/C][C]0.444907[/C][C]3.7752[/C][C]0.000163[/C][/ROW]
[ROW][C]7[/C][C]0.394915[/C][C]3.351[/C][C]0.000643[/C][/ROW]
[ROW][C]8[/C][C]0.3427[/C][C]2.9079[/C][C]0.002417[/C][/ROW]
[ROW][C]9[/C][C]0.3339[/C][C]2.8332[/C][C]0.002987[/C][/ROW]
[ROW][C]10[/C][C]0.367817[/C][C]3.121[/C][C]0.001297[/C][/ROW]
[ROW][C]11[/C][C]0.419248[/C][C]3.5574[/C][C]0.000334[/C][/ROW]
[ROW][C]12[/C][C]0.436423[/C][C]3.7032[/C][C]0.000207[/C][/ROW]
[ROW][C]13[/C][C]0.32359[/C][C]2.7458[/C][C]0.00381[/C][/ROW]
[ROW][C]14[/C][C]0.174819[/C][C]1.4834[/C][C]0.071168[/C][/ROW]
[ROW][C]15[/C][C]0.049911[/C][C]0.4235[/C][C]0.336594[/C][/ROW]
[ROW][C]16[/C][C]-0.015671[/C][C]-0.133[/C][C]0.447291[/C][/ROW]
[ROW][C]17[/C][C]-0.038357[/C][C]-0.3255[/C][C]0.372884[/C][/ROW]
[ROW][C]18[/C][C]-0.065117[/C][C]-0.5525[/C][C]0.291146[/C][/ROW]
[ROW][C]19[/C][C]-0.088759[/C][C]-0.7531[/C][C]0.226908[/C][/ROW]
[ROW][C]20[/C][C]-0.114711[/C][C]-0.9734[/C][C]0.166818[/C][/ROW]
[ROW][C]21[/C][C]-0.109502[/C][C]-0.9292[/C][C]0.177956[/C][/ROW]
[ROW][C]22[/C][C]-0.076948[/C][C]-0.6529[/C][C]0.257941[/C][/ROW]
[ROW][C]23[/C][C]-0.039722[/C][C]-0.3371[/C][C]0.368529[/C][/ROW]
[ROW][C]24[/C][C]-0.025056[/C][C]-0.2126[/C][C]0.416118[/C][/ROW]
[ROW][C]25[/C][C]-0.106588[/C][C]-0.9044[/C][C]0.184392[/C][/ROW]
[ROW][C]26[/C][C]-0.217209[/C][C]-1.8431[/C][C]0.034716[/C][/ROW]
[ROW][C]27[/C][C]-0.302694[/C][C]-2.5684[/C][C]0.006145[/C][/ROW]
[ROW][C]28[/C][C]-0.346029[/C][C]-2.9362[/C][C]0.002229[/C][/ROW]
[ROW][C]29[/C][C]-0.355523[/C][C]-3.0167[/C][C]0.001765[/C][/ROW]
[ROW][C]30[/C][C]-0.366563[/C][C]-3.1104[/C][C]0.001339[/C][/ROW]
[ROW][C]31[/C][C]-0.374693[/C][C]-3.1794[/C][C]0.001088[/C][/ROW]
[ROW][C]32[/C][C]-0.378363[/C][C]-3.2105[/C][C]0.00099[/C][/ROW]
[ROW][C]33[/C][C]-0.352806[/C][C]-2.9937[/C][C]0.001888[/C][/ROW]
[ROW][C]34[/C][C]-0.302239[/C][C]-2.5646[/C][C]0.006208[/C][/ROW]
[ROW][C]35[/C][C]-0.250485[/C][C]-2.1254[/C][C]0.018491[/C][/ROW]
[ROW][C]36[/C][C]-0.216003[/C][C]-1.8328[/C][C]0.03548[/C][/ROW]
[ROW][C]37[/C][C]-0.260124[/C][C]-2.2072[/C][C]0.015243[/C][/ROW]
[ROW][C]38[/C][C]-0.323174[/C][C]-2.7422[/C][C]0.003847[/C][/ROW]
[ROW][C]39[/C][C]-0.361391[/C][C]-3.0665[/C][C]0.001525[/C][/ROW]
[ROW][C]40[/C][C]-0.364163[/C][C]-3.09[/C][C]0.001422[/C][/ROW]
[ROW][C]41[/C][C]-0.342039[/C][C]-2.9023[/C][C]0.002456[/C][/ROW]
[ROW][C]42[/C][C]-0.32475[/C][C]-2.7556[/C][C]0.003708[/C][/ROW]
[ROW][C]43[/C][C]-0.305752[/C][C]-2.5944[/C][C]0.005737[/C][/ROW]
[ROW][C]44[/C][C]-0.289622[/C][C]-2.4575[/C][C]0.008199[/C][/ROW]
[ROW][C]45[/C][C]-0.251784[/C][C]-2.1365[/C][C]0.018021[/C][/ROW]
[ROW][C]46[/C][C]-0.202469[/C][C]-1.718[/C][C]0.045047[/C][/ROW]
[ROW][C]47[/C][C]-0.151628[/C][C]-1.2866[/C][C]0.101176[/C][/ROW]
[ROW][C]48[/C][C]-0.10708[/C][C]-0.9086[/C][C]0.183294[/C][/ROW]
[ROW][C]49[/C][C]-0.121406[/C][C]-1.0302[/C][C]0.15319[/C][/ROW]
[ROW][C]50[/C][C]-0.151308[/C][C]-1.2839[/C][C]0.101648[/C][/ROW]
[ROW][C]51[/C][C]-0.161374[/C][C]-1.3693[/C][C]0.08758[/C][/ROW]
[ROW][C]52[/C][C]-0.143908[/C][C]-1.2211[/C][C]0.113017[/C][/ROW]
[ROW][C]53[/C][C]-0.105908[/C][C]-0.8987[/C][C]0.185914[/C][/ROW]
[ROW][C]54[/C][C]-0.069314[/C][C]-0.5881[/C][C]0.279137[/C][/ROW]
[ROW][C]55[/C][C]-0.034665[/C][C]-0.2941[/C][C]0.384749[/C][/ROW]
[ROW][C]56[/C][C]0.000747[/C][C]0.0063[/C][C]0.49748[/C][/ROW]
[ROW][C]57[/C][C]0.044757[/C][C]0.3798[/C][C]0.352614[/C][/ROW]
[ROW][C]58[/C][C]0.077576[/C][C]0.6583[/C][C]0.256236[/C][/ROW]
[ROW][C]59[/C][C]0.106706[/C][C]0.9054[/C][C]0.18413[/C][/ROW]
[ROW][C]60[/C][C]0.130424[/C][C]1.1067[/C][C]0.136057[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34111&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34111&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
10.884797.50770
20.7243236.14610
30.5926285.02862e-06
40.512294.34692.2e-05
50.4842484.1095.2e-05
60.4449073.77520.000163
70.3949153.3510.000643
80.34272.90790.002417
90.33392.83320.002987
100.3678173.1210.001297
110.4192483.55740.000334
120.4364233.70320.000207
130.323592.74580.00381
140.1748191.48340.071168
150.0499110.42350.336594
16-0.015671-0.1330.447291
17-0.038357-0.32550.372884
18-0.065117-0.55250.291146
19-0.088759-0.75310.226908
20-0.114711-0.97340.166818
21-0.109502-0.92920.177956
22-0.076948-0.65290.257941
23-0.039722-0.33710.368529
24-0.025056-0.21260.416118
25-0.106588-0.90440.184392
26-0.217209-1.84310.034716
27-0.302694-2.56840.006145
28-0.346029-2.93620.002229
29-0.355523-3.01670.001765
30-0.366563-3.11040.001339
31-0.374693-3.17940.001088
32-0.378363-3.21050.00099
33-0.352806-2.99370.001888
34-0.302239-2.56460.006208
35-0.250485-2.12540.018491
36-0.216003-1.83280.03548
37-0.260124-2.20720.015243
38-0.323174-2.74220.003847
39-0.361391-3.06650.001525
40-0.364163-3.090.001422
41-0.342039-2.90230.002456
42-0.32475-2.75560.003708
43-0.305752-2.59440.005737
44-0.289622-2.45750.008199
45-0.251784-2.13650.018021
46-0.202469-1.7180.045047
47-0.151628-1.28660.101176
48-0.10708-0.90860.183294
49-0.121406-1.03020.15319
50-0.151308-1.28390.101648
51-0.161374-1.36930.08758
52-0.143908-1.22110.113017
53-0.105908-0.89870.185914
54-0.069314-0.58810.279137
55-0.034665-0.29410.384749
560.0007470.00630.49748
570.0447570.37980.352614
580.0775760.65830.256236
590.1067060.90540.18413
600.1304241.10670.136057







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.884797.50770
2-0.269544-2.28720.012564
30.0869060.73740.231631
40.1089430.92440.17918
50.1351331.14660.127663
6-0.126518-1.07350.143307
70.0254390.21590.414854
80.0036570.0310.487666
90.2021381.71520.045305
100.0935010.79340.215082
110.1085960.92150.179942
12-0.090152-0.7650.223396
13-0.490598-4.16294.3e-05
14-0.034579-0.29340.385025
15-0.058214-0.4940.311417
160.0536080.45490.325284
17-0.067433-0.57220.28449
180.0328580.27880.390594
190.074740.63420.263983
20-0.020344-0.17260.431715
21-0.010809-0.09170.463589
22-0.034252-0.29060.386081
23-0.021249-0.18030.428711
240.0048490.04110.483648
25-0.165655-1.40560.082068
26-0.009653-0.08190.467473
270.0034050.02890.488515
28-0.090129-0.76480.223455
29-0.052156-0.44260.329705
30-0.02932-0.24880.402117
31-0.019075-0.16190.435936
32-0.014103-0.11970.452538
330.0153030.12980.448524
340.0443070.3760.354027
350.0005470.00460.498154
360.0122520.1040.458743
37-0.099348-0.8430.201011
380.0375790.31890.375374
39-0.000872-0.00740.49706
40-0.015352-0.13030.448359
41-0.034829-0.29550.384219
420.0209770.1780.429615
43-0.012936-0.10980.456451
44-0.06706-0.5690.285556
45-0.010958-0.0930.46309
46-0.066799-0.56680.286303
470.0378190.32090.374607
480.0340970.28930.386584
490.0064770.0550.478161
500.0192690.16350.43529
510.0303330.25740.398808
52-0.006758-0.05730.477216
530.0148280.12580.450114
540.0374220.31750.375877
55-0.008282-0.07030.472084
560.0614210.52120.301921
57-0.028446-0.24140.404976
58-0.09596-0.81420.209094
59-0.01182-0.10030.460195
60-0.026175-0.22210.412431

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.88479 & 7.5077 & 0 \tabularnewline
2 & -0.269544 & -2.2872 & 0.012564 \tabularnewline
3 & 0.086906 & 0.7374 & 0.231631 \tabularnewline
4 & 0.108943 & 0.9244 & 0.17918 \tabularnewline
5 & 0.135133 & 1.1466 & 0.127663 \tabularnewline
6 & -0.126518 & -1.0735 & 0.143307 \tabularnewline
7 & 0.025439 & 0.2159 & 0.414854 \tabularnewline
8 & 0.003657 & 0.031 & 0.487666 \tabularnewline
9 & 0.202138 & 1.7152 & 0.045305 \tabularnewline
10 & 0.093501 & 0.7934 & 0.215082 \tabularnewline
11 & 0.108596 & 0.9215 & 0.179942 \tabularnewline
12 & -0.090152 & -0.765 & 0.223396 \tabularnewline
13 & -0.490598 & -4.1629 & 4.3e-05 \tabularnewline
14 & -0.034579 & -0.2934 & 0.385025 \tabularnewline
15 & -0.058214 & -0.494 & 0.311417 \tabularnewline
16 & 0.053608 & 0.4549 & 0.325284 \tabularnewline
17 & -0.067433 & -0.5722 & 0.28449 \tabularnewline
18 & 0.032858 & 0.2788 & 0.390594 \tabularnewline
19 & 0.07474 & 0.6342 & 0.263983 \tabularnewline
20 & -0.020344 & -0.1726 & 0.431715 \tabularnewline
21 & -0.010809 & -0.0917 & 0.463589 \tabularnewline
22 & -0.034252 & -0.2906 & 0.386081 \tabularnewline
23 & -0.021249 & -0.1803 & 0.428711 \tabularnewline
24 & 0.004849 & 0.0411 & 0.483648 \tabularnewline
25 & -0.165655 & -1.4056 & 0.082068 \tabularnewline
26 & -0.009653 & -0.0819 & 0.467473 \tabularnewline
27 & 0.003405 & 0.0289 & 0.488515 \tabularnewline
28 & -0.090129 & -0.7648 & 0.223455 \tabularnewline
29 & -0.052156 & -0.4426 & 0.329705 \tabularnewline
30 & -0.02932 & -0.2488 & 0.402117 \tabularnewline
31 & -0.019075 & -0.1619 & 0.435936 \tabularnewline
32 & -0.014103 & -0.1197 & 0.452538 \tabularnewline
33 & 0.015303 & 0.1298 & 0.448524 \tabularnewline
34 & 0.044307 & 0.376 & 0.354027 \tabularnewline
35 & 0.000547 & 0.0046 & 0.498154 \tabularnewline
36 & 0.012252 & 0.104 & 0.458743 \tabularnewline
37 & -0.099348 & -0.843 & 0.201011 \tabularnewline
38 & 0.037579 & 0.3189 & 0.375374 \tabularnewline
39 & -0.000872 & -0.0074 & 0.49706 \tabularnewline
40 & -0.015352 & -0.1303 & 0.448359 \tabularnewline
41 & -0.034829 & -0.2955 & 0.384219 \tabularnewline
42 & 0.020977 & 0.178 & 0.429615 \tabularnewline
43 & -0.012936 & -0.1098 & 0.456451 \tabularnewline
44 & -0.06706 & -0.569 & 0.285556 \tabularnewline
45 & -0.010958 & -0.093 & 0.46309 \tabularnewline
46 & -0.066799 & -0.5668 & 0.286303 \tabularnewline
47 & 0.037819 & 0.3209 & 0.374607 \tabularnewline
48 & 0.034097 & 0.2893 & 0.386584 \tabularnewline
49 & 0.006477 & 0.055 & 0.478161 \tabularnewline
50 & 0.019269 & 0.1635 & 0.43529 \tabularnewline
51 & 0.030333 & 0.2574 & 0.398808 \tabularnewline
52 & -0.006758 & -0.0573 & 0.477216 \tabularnewline
53 & 0.014828 & 0.1258 & 0.450114 \tabularnewline
54 & 0.037422 & 0.3175 & 0.375877 \tabularnewline
55 & -0.008282 & -0.0703 & 0.472084 \tabularnewline
56 & 0.061421 & 0.5212 & 0.301921 \tabularnewline
57 & -0.028446 & -0.2414 & 0.404976 \tabularnewline
58 & -0.09596 & -0.8142 & 0.209094 \tabularnewline
59 & -0.01182 & -0.1003 & 0.460195 \tabularnewline
60 & -0.026175 & -0.2221 & 0.412431 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34111&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]0.88479[/C][C]7.5077[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.269544[/C][C]-2.2872[/C][C]0.012564[/C][/ROW]
[ROW][C]3[/C][C]0.086906[/C][C]0.7374[/C][C]0.231631[/C][/ROW]
[ROW][C]4[/C][C]0.108943[/C][C]0.9244[/C][C]0.17918[/C][/ROW]
[ROW][C]5[/C][C]0.135133[/C][C]1.1466[/C][C]0.127663[/C][/ROW]
[ROW][C]6[/C][C]-0.126518[/C][C]-1.0735[/C][C]0.143307[/C][/ROW]
[ROW][C]7[/C][C]0.025439[/C][C]0.2159[/C][C]0.414854[/C][/ROW]
[ROW][C]8[/C][C]0.003657[/C][C]0.031[/C][C]0.487666[/C][/ROW]
[ROW][C]9[/C][C]0.202138[/C][C]1.7152[/C][C]0.045305[/C][/ROW]
[ROW][C]10[/C][C]0.093501[/C][C]0.7934[/C][C]0.215082[/C][/ROW]
[ROW][C]11[/C][C]0.108596[/C][C]0.9215[/C][C]0.179942[/C][/ROW]
[ROW][C]12[/C][C]-0.090152[/C][C]-0.765[/C][C]0.223396[/C][/ROW]
[ROW][C]13[/C][C]-0.490598[/C][C]-4.1629[/C][C]4.3e-05[/C][/ROW]
[ROW][C]14[/C][C]-0.034579[/C][C]-0.2934[/C][C]0.385025[/C][/ROW]
[ROW][C]15[/C][C]-0.058214[/C][C]-0.494[/C][C]0.311417[/C][/ROW]
[ROW][C]16[/C][C]0.053608[/C][C]0.4549[/C][C]0.325284[/C][/ROW]
[ROW][C]17[/C][C]-0.067433[/C][C]-0.5722[/C][C]0.28449[/C][/ROW]
[ROW][C]18[/C][C]0.032858[/C][C]0.2788[/C][C]0.390594[/C][/ROW]
[ROW][C]19[/C][C]0.07474[/C][C]0.6342[/C][C]0.263983[/C][/ROW]
[ROW][C]20[/C][C]-0.020344[/C][C]-0.1726[/C][C]0.431715[/C][/ROW]
[ROW][C]21[/C][C]-0.010809[/C][C]-0.0917[/C][C]0.463589[/C][/ROW]
[ROW][C]22[/C][C]-0.034252[/C][C]-0.2906[/C][C]0.386081[/C][/ROW]
[ROW][C]23[/C][C]-0.021249[/C][C]-0.1803[/C][C]0.428711[/C][/ROW]
[ROW][C]24[/C][C]0.004849[/C][C]0.0411[/C][C]0.483648[/C][/ROW]
[ROW][C]25[/C][C]-0.165655[/C][C]-1.4056[/C][C]0.082068[/C][/ROW]
[ROW][C]26[/C][C]-0.009653[/C][C]-0.0819[/C][C]0.467473[/C][/ROW]
[ROW][C]27[/C][C]0.003405[/C][C]0.0289[/C][C]0.488515[/C][/ROW]
[ROW][C]28[/C][C]-0.090129[/C][C]-0.7648[/C][C]0.223455[/C][/ROW]
[ROW][C]29[/C][C]-0.052156[/C][C]-0.4426[/C][C]0.329705[/C][/ROW]
[ROW][C]30[/C][C]-0.02932[/C][C]-0.2488[/C][C]0.402117[/C][/ROW]
[ROW][C]31[/C][C]-0.019075[/C][C]-0.1619[/C][C]0.435936[/C][/ROW]
[ROW][C]32[/C][C]-0.014103[/C][C]-0.1197[/C][C]0.452538[/C][/ROW]
[ROW][C]33[/C][C]0.015303[/C][C]0.1298[/C][C]0.448524[/C][/ROW]
[ROW][C]34[/C][C]0.044307[/C][C]0.376[/C][C]0.354027[/C][/ROW]
[ROW][C]35[/C][C]0.000547[/C][C]0.0046[/C][C]0.498154[/C][/ROW]
[ROW][C]36[/C][C]0.012252[/C][C]0.104[/C][C]0.458743[/C][/ROW]
[ROW][C]37[/C][C]-0.099348[/C][C]-0.843[/C][C]0.201011[/C][/ROW]
[ROW][C]38[/C][C]0.037579[/C][C]0.3189[/C][C]0.375374[/C][/ROW]
[ROW][C]39[/C][C]-0.000872[/C][C]-0.0074[/C][C]0.49706[/C][/ROW]
[ROW][C]40[/C][C]-0.015352[/C][C]-0.1303[/C][C]0.448359[/C][/ROW]
[ROW][C]41[/C][C]-0.034829[/C][C]-0.2955[/C][C]0.384219[/C][/ROW]
[ROW][C]42[/C][C]0.020977[/C][C]0.178[/C][C]0.429615[/C][/ROW]
[ROW][C]43[/C][C]-0.012936[/C][C]-0.1098[/C][C]0.456451[/C][/ROW]
[ROW][C]44[/C][C]-0.06706[/C][C]-0.569[/C][C]0.285556[/C][/ROW]
[ROW][C]45[/C][C]-0.010958[/C][C]-0.093[/C][C]0.46309[/C][/ROW]
[ROW][C]46[/C][C]-0.066799[/C][C]-0.5668[/C][C]0.286303[/C][/ROW]
[ROW][C]47[/C][C]0.037819[/C][C]0.3209[/C][C]0.374607[/C][/ROW]
[ROW][C]48[/C][C]0.034097[/C][C]0.2893[/C][C]0.386584[/C][/ROW]
[ROW][C]49[/C][C]0.006477[/C][C]0.055[/C][C]0.478161[/C][/ROW]
[ROW][C]50[/C][C]0.019269[/C][C]0.1635[/C][C]0.43529[/C][/ROW]
[ROW][C]51[/C][C]0.030333[/C][C]0.2574[/C][C]0.398808[/C][/ROW]
[ROW][C]52[/C][C]-0.006758[/C][C]-0.0573[/C][C]0.477216[/C][/ROW]
[ROW][C]53[/C][C]0.014828[/C][C]0.1258[/C][C]0.450114[/C][/ROW]
[ROW][C]54[/C][C]0.037422[/C][C]0.3175[/C][C]0.375877[/C][/ROW]
[ROW][C]55[/C][C]-0.008282[/C][C]-0.0703[/C][C]0.472084[/C][/ROW]
[ROW][C]56[/C][C]0.061421[/C][C]0.5212[/C][C]0.301921[/C][/ROW]
[ROW][C]57[/C][C]-0.028446[/C][C]-0.2414[/C][C]0.404976[/C][/ROW]
[ROW][C]58[/C][C]-0.09596[/C][C]-0.8142[/C][C]0.209094[/C][/ROW]
[ROW][C]59[/C][C]-0.01182[/C][C]-0.1003[/C][C]0.460195[/C][/ROW]
[ROW][C]60[/C][C]-0.026175[/C][C]-0.2221[/C][C]0.412431[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34111&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34111&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
10.884797.50770
2-0.269544-2.28720.012564
30.0869060.73740.231631
40.1089430.92440.17918
50.1351331.14660.127663
6-0.126518-1.07350.143307
70.0254390.21590.414854
80.0036570.0310.487666
90.2021381.71520.045305
100.0935010.79340.215082
110.1085960.92150.179942
12-0.090152-0.7650.223396
13-0.490598-4.16294.3e-05
14-0.034579-0.29340.385025
15-0.058214-0.4940.311417
160.0536080.45490.325284
17-0.067433-0.57220.28449
180.0328580.27880.390594
190.074740.63420.263983
20-0.020344-0.17260.431715
21-0.010809-0.09170.463589
22-0.034252-0.29060.386081
23-0.021249-0.18030.428711
240.0048490.04110.483648
25-0.165655-1.40560.082068
26-0.009653-0.08190.467473
270.0034050.02890.488515
28-0.090129-0.76480.223455
29-0.052156-0.44260.329705
30-0.02932-0.24880.402117
31-0.019075-0.16190.435936
32-0.014103-0.11970.452538
330.0153030.12980.448524
340.0443070.3760.354027
350.0005470.00460.498154
360.0122520.1040.458743
37-0.099348-0.8430.201011
380.0375790.31890.375374
39-0.000872-0.00740.49706
40-0.015352-0.13030.448359
41-0.034829-0.29550.384219
420.0209770.1780.429615
43-0.012936-0.10980.456451
44-0.06706-0.5690.285556
45-0.010958-0.0930.46309
46-0.066799-0.56680.286303
470.0378190.32090.374607
480.0340970.28930.386584
490.0064770.0550.478161
500.0192690.16350.43529
510.0303330.25740.398808
52-0.006758-0.05730.477216
530.0148280.12580.450114
540.0374220.31750.375877
55-0.008282-0.07030.472084
560.0614210.52120.301921
57-0.028446-0.24140.404976
58-0.09596-0.81420.209094
59-0.01182-0.10030.460195
60-0.026175-0.22210.412431



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 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')