Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 03:25:22 -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/Nov/28/t1196244924r9amj8x0ldkbft5.htm/, Retrieved Wed, 01 May 2024 23:50:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6989, Retrieved Wed, 01 May 2024 23:50:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact224
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Methode 2 op tijd...] [2007-11-28 10:25:22] [0c269222ff5238ed17e011dfedaec76b] [Current]
Feedback Forum

Post a new message
Dataseries X:
721.8
836.7
817.8
804.3
773.3
789.6
882.5
868.9
885.7
880.6
846.2
875.4
799.6
946.3
987.3
892.4
885.1
937.1
935.9
944.2
930.9
874.0
891.9
902.2
767.0
912.5
918.6
713.4
849.9
875.9
1010.9
1049.2
900.5
1111.6
898.2
1034.3
996.7
1188.9
1092.5
952.0
959.1
846.1
903.0
1089.5
879.9
1057.0
932.6
745.5
817.2
808.3
832.9
801.2
773.1
710.8
820.4
814.9
833.5
864.3
844.9
733.6




Summary of compuational 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 compuational 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=6989&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]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=6989&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6989&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.4651113.60270.00032
20.4306633.33590.000731
30.3584332.77640.003661
40.2203811.70710.04649
50.3305882.56070.00649
60.2445211.89410.031521
70.1978551.53260.065318
80.0880270.68190.248976
9-0.113331-0.87790.808238
10-0.156789-1.21450.885339
11-0.171197-1.32610.905082
120.028830.22330.412025
13-0.194653-1.50780.93157
14-0.250234-1.93830.971352
15-0.158406-1.2270.887694
16-0.309211-2.39510.990124
17-0.1178-0.91250.817416
18-0.174969-1.35530.9098
19-0.131848-1.02130.844392
20-0.035299-0.27340.607268
21-0.162441-1.25830.893415
22-0.115544-0.8950.812818
230.0098530.07630.469709
240.0663340.51380.304632
250.0019210.01490.494089
26-0.052588-0.40730.657397
27-0.020184-0.15630.561855
28-0.11111-0.86070.803572
29-0.051582-0.39950.654546
30-0.114316-0.88550.810285
31-0.116079-0.89910.813914
32-0.070299-0.54450.705953
33-0.28148-2.18030.983417
34-0.18794-1.45580.924666
35-0.151124-1.17060.876806
36-0.142139-1.1010.862354
37-0.128052-0.99190.837381
38-0.128073-0.9920.837421
39-0.101125-0.78330.781738
40-0.091795-0.7110.760093
41-0.047539-0.36820.643004
42-0.032156-0.24910.597926
43-0.022944-0.17770.570231
440.0366290.28370.388797
45-0.01484-0.11490.545565
460.0450710.34910.364112
470.1239020.95970.170518
480.1022270.79190.215784
490.1081940.83810.202659
500.0861070.6670.253671
510.0861990.66770.253444
520.0819370.63470.264026
530.0813940.63050.265389
540.0660430.51160.305417
550.061270.47460.318399
560.0423050.32770.372141
570.0273340.21170.416517
580.02430.18820.425668
590.0416570.32270.374031

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.465111 & 3.6027 & 0.00032 \tabularnewline
2 & 0.430663 & 3.3359 & 0.000731 \tabularnewline
3 & 0.358433 & 2.7764 & 0.003661 \tabularnewline
4 & 0.220381 & 1.7071 & 0.04649 \tabularnewline
5 & 0.330588 & 2.5607 & 0.00649 \tabularnewline
6 & 0.244521 & 1.8941 & 0.031521 \tabularnewline
7 & 0.197855 & 1.5326 & 0.065318 \tabularnewline
8 & 0.088027 & 0.6819 & 0.248976 \tabularnewline
9 & -0.113331 & -0.8779 & 0.808238 \tabularnewline
10 & -0.156789 & -1.2145 & 0.885339 \tabularnewline
11 & -0.171197 & -1.3261 & 0.905082 \tabularnewline
12 & 0.02883 & 0.2233 & 0.412025 \tabularnewline
13 & -0.194653 & -1.5078 & 0.93157 \tabularnewline
14 & -0.250234 & -1.9383 & 0.971352 \tabularnewline
15 & -0.158406 & -1.227 & 0.887694 \tabularnewline
16 & -0.309211 & -2.3951 & 0.990124 \tabularnewline
17 & -0.1178 & -0.9125 & 0.817416 \tabularnewline
18 & -0.174969 & -1.3553 & 0.9098 \tabularnewline
19 & -0.131848 & -1.0213 & 0.844392 \tabularnewline
20 & -0.035299 & -0.2734 & 0.607268 \tabularnewline
21 & -0.162441 & -1.2583 & 0.893415 \tabularnewline
22 & -0.115544 & -0.895 & 0.812818 \tabularnewline
23 & 0.009853 & 0.0763 & 0.469709 \tabularnewline
24 & 0.066334 & 0.5138 & 0.304632 \tabularnewline
25 & 0.001921 & 0.0149 & 0.494089 \tabularnewline
26 & -0.052588 & -0.4073 & 0.657397 \tabularnewline
27 & -0.020184 & -0.1563 & 0.561855 \tabularnewline
28 & -0.11111 & -0.8607 & 0.803572 \tabularnewline
29 & -0.051582 & -0.3995 & 0.654546 \tabularnewline
30 & -0.114316 & -0.8855 & 0.810285 \tabularnewline
31 & -0.116079 & -0.8991 & 0.813914 \tabularnewline
32 & -0.070299 & -0.5445 & 0.705953 \tabularnewline
33 & -0.28148 & -2.1803 & 0.983417 \tabularnewline
34 & -0.18794 & -1.4558 & 0.924666 \tabularnewline
35 & -0.151124 & -1.1706 & 0.876806 \tabularnewline
36 & -0.142139 & -1.101 & 0.862354 \tabularnewline
37 & -0.128052 & -0.9919 & 0.837381 \tabularnewline
38 & -0.128073 & -0.992 & 0.837421 \tabularnewline
39 & -0.101125 & -0.7833 & 0.781738 \tabularnewline
40 & -0.091795 & -0.711 & 0.760093 \tabularnewline
41 & -0.047539 & -0.3682 & 0.643004 \tabularnewline
42 & -0.032156 & -0.2491 & 0.597926 \tabularnewline
43 & -0.022944 & -0.1777 & 0.570231 \tabularnewline
44 & 0.036629 & 0.2837 & 0.388797 \tabularnewline
45 & -0.01484 & -0.1149 & 0.545565 \tabularnewline
46 & 0.045071 & 0.3491 & 0.364112 \tabularnewline
47 & 0.123902 & 0.9597 & 0.170518 \tabularnewline
48 & 0.102227 & 0.7919 & 0.215784 \tabularnewline
49 & 0.108194 & 0.8381 & 0.202659 \tabularnewline
50 & 0.086107 & 0.667 & 0.253671 \tabularnewline
51 & 0.086199 & 0.6677 & 0.253444 \tabularnewline
52 & 0.081937 & 0.6347 & 0.264026 \tabularnewline
53 & 0.081394 & 0.6305 & 0.265389 \tabularnewline
54 & 0.066043 & 0.5116 & 0.305417 \tabularnewline
55 & 0.06127 & 0.4746 & 0.318399 \tabularnewline
56 & 0.042305 & 0.3277 & 0.372141 \tabularnewline
57 & 0.027334 & 0.2117 & 0.416517 \tabularnewline
58 & 0.0243 & 0.1882 & 0.425668 \tabularnewline
59 & 0.041657 & 0.3227 & 0.374031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6989&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]0.465111[/C][C]3.6027[/C][C]0.00032[/C][/ROW]
[ROW][C]2[/C][C]0.430663[/C][C]3.3359[/C][C]0.000731[/C][/ROW]
[ROW][C]3[/C][C]0.358433[/C][C]2.7764[/C][C]0.003661[/C][/ROW]
[ROW][C]4[/C][C]0.220381[/C][C]1.7071[/C][C]0.04649[/C][/ROW]
[ROW][C]5[/C][C]0.330588[/C][C]2.5607[/C][C]0.00649[/C][/ROW]
[ROW][C]6[/C][C]0.244521[/C][C]1.8941[/C][C]0.031521[/C][/ROW]
[ROW][C]7[/C][C]0.197855[/C][C]1.5326[/C][C]0.065318[/C][/ROW]
[ROW][C]8[/C][C]0.088027[/C][C]0.6819[/C][C]0.248976[/C][/ROW]
[ROW][C]9[/C][C]-0.113331[/C][C]-0.8779[/C][C]0.808238[/C][/ROW]
[ROW][C]10[/C][C]-0.156789[/C][C]-1.2145[/C][C]0.885339[/C][/ROW]
[ROW][C]11[/C][C]-0.171197[/C][C]-1.3261[/C][C]0.905082[/C][/ROW]
[ROW][C]12[/C][C]0.02883[/C][C]0.2233[/C][C]0.412025[/C][/ROW]
[ROW][C]13[/C][C]-0.194653[/C][C]-1.5078[/C][C]0.93157[/C][/ROW]
[ROW][C]14[/C][C]-0.250234[/C][C]-1.9383[/C][C]0.971352[/C][/ROW]
[ROW][C]15[/C][C]-0.158406[/C][C]-1.227[/C][C]0.887694[/C][/ROW]
[ROW][C]16[/C][C]-0.309211[/C][C]-2.3951[/C][C]0.990124[/C][/ROW]
[ROW][C]17[/C][C]-0.1178[/C][C]-0.9125[/C][C]0.817416[/C][/ROW]
[ROW][C]18[/C][C]-0.174969[/C][C]-1.3553[/C][C]0.9098[/C][/ROW]
[ROW][C]19[/C][C]-0.131848[/C][C]-1.0213[/C][C]0.844392[/C][/ROW]
[ROW][C]20[/C][C]-0.035299[/C][C]-0.2734[/C][C]0.607268[/C][/ROW]
[ROW][C]21[/C][C]-0.162441[/C][C]-1.2583[/C][C]0.893415[/C][/ROW]
[ROW][C]22[/C][C]-0.115544[/C][C]-0.895[/C][C]0.812818[/C][/ROW]
[ROW][C]23[/C][C]0.009853[/C][C]0.0763[/C][C]0.469709[/C][/ROW]
[ROW][C]24[/C][C]0.066334[/C][C]0.5138[/C][C]0.304632[/C][/ROW]
[ROW][C]25[/C][C]0.001921[/C][C]0.0149[/C][C]0.494089[/C][/ROW]
[ROW][C]26[/C][C]-0.052588[/C][C]-0.4073[/C][C]0.657397[/C][/ROW]
[ROW][C]27[/C][C]-0.020184[/C][C]-0.1563[/C][C]0.561855[/C][/ROW]
[ROW][C]28[/C][C]-0.11111[/C][C]-0.8607[/C][C]0.803572[/C][/ROW]
[ROW][C]29[/C][C]-0.051582[/C][C]-0.3995[/C][C]0.654546[/C][/ROW]
[ROW][C]30[/C][C]-0.114316[/C][C]-0.8855[/C][C]0.810285[/C][/ROW]
[ROW][C]31[/C][C]-0.116079[/C][C]-0.8991[/C][C]0.813914[/C][/ROW]
[ROW][C]32[/C][C]-0.070299[/C][C]-0.5445[/C][C]0.705953[/C][/ROW]
[ROW][C]33[/C][C]-0.28148[/C][C]-2.1803[/C][C]0.983417[/C][/ROW]
[ROW][C]34[/C][C]-0.18794[/C][C]-1.4558[/C][C]0.924666[/C][/ROW]
[ROW][C]35[/C][C]-0.151124[/C][C]-1.1706[/C][C]0.876806[/C][/ROW]
[ROW][C]36[/C][C]-0.142139[/C][C]-1.101[/C][C]0.862354[/C][/ROW]
[ROW][C]37[/C][C]-0.128052[/C][C]-0.9919[/C][C]0.837381[/C][/ROW]
[ROW][C]38[/C][C]-0.128073[/C][C]-0.992[/C][C]0.837421[/C][/ROW]
[ROW][C]39[/C][C]-0.101125[/C][C]-0.7833[/C][C]0.781738[/C][/ROW]
[ROW][C]40[/C][C]-0.091795[/C][C]-0.711[/C][C]0.760093[/C][/ROW]
[ROW][C]41[/C][C]-0.047539[/C][C]-0.3682[/C][C]0.643004[/C][/ROW]
[ROW][C]42[/C][C]-0.032156[/C][C]-0.2491[/C][C]0.597926[/C][/ROW]
[ROW][C]43[/C][C]-0.022944[/C][C]-0.1777[/C][C]0.570231[/C][/ROW]
[ROW][C]44[/C][C]0.036629[/C][C]0.2837[/C][C]0.388797[/C][/ROW]
[ROW][C]45[/C][C]-0.01484[/C][C]-0.1149[/C][C]0.545565[/C][/ROW]
[ROW][C]46[/C][C]0.045071[/C][C]0.3491[/C][C]0.364112[/C][/ROW]
[ROW][C]47[/C][C]0.123902[/C][C]0.9597[/C][C]0.170518[/C][/ROW]
[ROW][C]48[/C][C]0.102227[/C][C]0.7919[/C][C]0.215784[/C][/ROW]
[ROW][C]49[/C][C]0.108194[/C][C]0.8381[/C][C]0.202659[/C][/ROW]
[ROW][C]50[/C][C]0.086107[/C][C]0.667[/C][C]0.253671[/C][/ROW]
[ROW][C]51[/C][C]0.086199[/C][C]0.6677[/C][C]0.253444[/C][/ROW]
[ROW][C]52[/C][C]0.081937[/C][C]0.6347[/C][C]0.264026[/C][/ROW]
[ROW][C]53[/C][C]0.081394[/C][C]0.6305[/C][C]0.265389[/C][/ROW]
[ROW][C]54[/C][C]0.066043[/C][C]0.5116[/C][C]0.305417[/C][/ROW]
[ROW][C]55[/C][C]0.06127[/C][C]0.4746[/C][C]0.318399[/C][/ROW]
[ROW][C]56[/C][C]0.042305[/C][C]0.3277[/C][C]0.372141[/C][/ROW]
[ROW][C]57[/C][C]0.027334[/C][C]0.2117[/C][C]0.416517[/C][/ROW]
[ROW][C]58[/C][C]0.0243[/C][C]0.1882[/C][C]0.425668[/C][/ROW]
[ROW][C]59[/C][C]0.041657[/C][C]0.3227[/C][C]0.374031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6989&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6989&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
10.4651113.60270.00032
20.4306633.33590.000731
30.3584332.77640.003661
40.2203811.70710.04649
50.3305882.56070.00649
60.2445211.89410.031521
70.1978551.53260.065318
80.0880270.68190.248976
9-0.113331-0.87790.808238
10-0.156789-1.21450.885339
11-0.171197-1.32610.905082
120.028830.22330.412025
13-0.194653-1.50780.93157
14-0.250234-1.93830.971352
15-0.158406-1.2270.887694
16-0.309211-2.39510.990124
17-0.1178-0.91250.817416
18-0.174969-1.35530.9098
19-0.131848-1.02130.844392
20-0.035299-0.27340.607268
21-0.162441-1.25830.893415
22-0.115544-0.8950.812818
230.0098530.07630.469709
240.0663340.51380.304632
250.0019210.01490.494089
26-0.052588-0.40730.657397
27-0.020184-0.15630.561855
28-0.11111-0.86070.803572
29-0.051582-0.39950.654546
30-0.114316-0.88550.810285
31-0.116079-0.89910.813914
32-0.070299-0.54450.705953
33-0.28148-2.18030.983417
34-0.18794-1.45580.924666
35-0.151124-1.17060.876806
36-0.142139-1.1010.862354
37-0.128052-0.99190.837381
38-0.128073-0.9920.837421
39-0.101125-0.78330.781738
40-0.091795-0.7110.760093
41-0.047539-0.36820.643004
42-0.032156-0.24910.597926
43-0.022944-0.17770.570231
440.0366290.28370.388797
45-0.01484-0.11490.545565
460.0450710.34910.364112
470.1239020.95970.170518
480.1022270.79190.215784
490.1081940.83810.202659
500.0861070.6670.253671
510.0861990.66770.253444
520.0819370.63470.264026
530.0813940.63050.265389
540.0660430.51160.305417
550.061270.47460.318399
560.0423050.32770.372141
570.0273340.21170.416517
580.02430.18820.425668
590.0416570.32270.374031







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.4651113.60270.00032
10.27352.11850.01914
20.1182030.91560.181772
3-0.062538-0.48440.685074
40.2002691.55130.063047
50.0258380.20010.421024
6-0.030766-0.23830.593775
7-0.150351-1.16460.875608
8-0.262968-2.03690.976963
9-0.170255-1.31880.903875
10-0.040494-0.31370.62257
110.324482.51340.00733
12-0.239124-1.85220.965544
13-0.201676-1.56220.938247
140.194891.50960.068195
150.0184060.14260.443553
160.073760.57130.284951
17-0.160517-1.24340.890714
18-0.02957-0.2290.590194
190.1012890.78460.217894
200.0627740.48620.314283
21-0.096129-0.74460.770293
220.0341420.26450.396165
230.0383750.29730.38365
24-0.08115-0.62860.733998
25-0.093839-0.72690.764934
26-0.13625-1.05540.85226
27-0.077551-0.60070.72485
28-0.053385-0.41350.659648
29-0.099135-0.76790.77722
30-0.048275-0.37390.645116
31-0.024999-0.19360.576445
32-0.087963-0.68140.750868
330.1158960.89770.18646
34-0.024886-0.19280.576103
35-0.02271-0.17590.56952
36-0.007845-0.06080.524128
370.0948560.73480.232676
38-0.014842-0.1150.545573
39-0.081893-0.63430.735865
40-0.008947-0.06930.52751
41-0.022841-0.17690.56992
42-0.14496-1.12290.867014
43-0.122754-0.95080.827251
440.1443451.11810.133992
45-0.058878-0.45610.675006
46-0.032487-0.25160.598911
470.0381390.29540.384346
48-0.034914-0.27040.606127
490.0400010.30980.378876
50-0.02142-0.16590.565611
51-0.05874-0.4550.674623
52-0.037638-0.29150.61418
530.0029730.0230.490853
540.010240.07930.468521
550.0300470.23270.408377
560.0335460.25980.397936
57-0.031746-0.24590.596703
58-0.044989-0.34850.63565
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.465111 & 3.6027 & 0.00032 \tabularnewline
1 & 0.2735 & 2.1185 & 0.01914 \tabularnewline
2 & 0.118203 & 0.9156 & 0.181772 \tabularnewline
3 & -0.062538 & -0.4844 & 0.685074 \tabularnewline
4 & 0.200269 & 1.5513 & 0.063047 \tabularnewline
5 & 0.025838 & 0.2001 & 0.421024 \tabularnewline
6 & -0.030766 & -0.2383 & 0.593775 \tabularnewline
7 & -0.150351 & -1.1646 & 0.875608 \tabularnewline
8 & -0.262968 & -2.0369 & 0.976963 \tabularnewline
9 & -0.170255 & -1.3188 & 0.903875 \tabularnewline
10 & -0.040494 & -0.3137 & 0.62257 \tabularnewline
11 & 0.32448 & 2.5134 & 0.00733 \tabularnewline
12 & -0.239124 & -1.8522 & 0.965544 \tabularnewline
13 & -0.201676 & -1.5622 & 0.938247 \tabularnewline
14 & 0.19489 & 1.5096 & 0.068195 \tabularnewline
15 & 0.018406 & 0.1426 & 0.443553 \tabularnewline
16 & 0.07376 & 0.5713 & 0.284951 \tabularnewline
17 & -0.160517 & -1.2434 & 0.890714 \tabularnewline
18 & -0.02957 & -0.229 & 0.590194 \tabularnewline
19 & 0.101289 & 0.7846 & 0.217894 \tabularnewline
20 & 0.062774 & 0.4862 & 0.314283 \tabularnewline
21 & -0.096129 & -0.7446 & 0.770293 \tabularnewline
22 & 0.034142 & 0.2645 & 0.396165 \tabularnewline
23 & 0.038375 & 0.2973 & 0.38365 \tabularnewline
24 & -0.08115 & -0.6286 & 0.733998 \tabularnewline
25 & -0.093839 & -0.7269 & 0.764934 \tabularnewline
26 & -0.13625 & -1.0554 & 0.85226 \tabularnewline
27 & -0.077551 & -0.6007 & 0.72485 \tabularnewline
28 & -0.053385 & -0.4135 & 0.659648 \tabularnewline
29 & -0.099135 & -0.7679 & 0.77722 \tabularnewline
30 & -0.048275 & -0.3739 & 0.645116 \tabularnewline
31 & -0.024999 & -0.1936 & 0.576445 \tabularnewline
32 & -0.087963 & -0.6814 & 0.750868 \tabularnewline
33 & 0.115896 & 0.8977 & 0.18646 \tabularnewline
34 & -0.024886 & -0.1928 & 0.576103 \tabularnewline
35 & -0.02271 & -0.1759 & 0.56952 \tabularnewline
36 & -0.007845 & -0.0608 & 0.524128 \tabularnewline
37 & 0.094856 & 0.7348 & 0.232676 \tabularnewline
38 & -0.014842 & -0.115 & 0.545573 \tabularnewline
39 & -0.081893 & -0.6343 & 0.735865 \tabularnewline
40 & -0.008947 & -0.0693 & 0.52751 \tabularnewline
41 & -0.022841 & -0.1769 & 0.56992 \tabularnewline
42 & -0.14496 & -1.1229 & 0.867014 \tabularnewline
43 & -0.122754 & -0.9508 & 0.827251 \tabularnewline
44 & 0.144345 & 1.1181 & 0.133992 \tabularnewline
45 & -0.058878 & -0.4561 & 0.675006 \tabularnewline
46 & -0.032487 & -0.2516 & 0.598911 \tabularnewline
47 & 0.038139 & 0.2954 & 0.384346 \tabularnewline
48 & -0.034914 & -0.2704 & 0.606127 \tabularnewline
49 & 0.040001 & 0.3098 & 0.378876 \tabularnewline
50 & -0.02142 & -0.1659 & 0.565611 \tabularnewline
51 & -0.05874 & -0.455 & 0.674623 \tabularnewline
52 & -0.037638 & -0.2915 & 0.61418 \tabularnewline
53 & 0.002973 & 0.023 & 0.490853 \tabularnewline
54 & 0.01024 & 0.0793 & 0.468521 \tabularnewline
55 & 0.030047 & 0.2327 & 0.408377 \tabularnewline
56 & 0.033546 & 0.2598 & 0.397936 \tabularnewline
57 & -0.031746 & -0.2459 & 0.596703 \tabularnewline
58 & -0.044989 & -0.3485 & 0.63565 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6989&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]0.465111[/C][C]3.6027[/C][C]0.00032[/C][/ROW]
[ROW][C]1[/C][C]0.2735[/C][C]2.1185[/C][C]0.01914[/C][/ROW]
[ROW][C]2[/C][C]0.118203[/C][C]0.9156[/C][C]0.181772[/C][/ROW]
[ROW][C]3[/C][C]-0.062538[/C][C]-0.4844[/C][C]0.685074[/C][/ROW]
[ROW][C]4[/C][C]0.200269[/C][C]1.5513[/C][C]0.063047[/C][/ROW]
[ROW][C]5[/C][C]0.025838[/C][C]0.2001[/C][C]0.421024[/C][/ROW]
[ROW][C]6[/C][C]-0.030766[/C][C]-0.2383[/C][C]0.593775[/C][/ROW]
[ROW][C]7[/C][C]-0.150351[/C][C]-1.1646[/C][C]0.875608[/C][/ROW]
[ROW][C]8[/C][C]-0.262968[/C][C]-2.0369[/C][C]0.976963[/C][/ROW]
[ROW][C]9[/C][C]-0.170255[/C][C]-1.3188[/C][C]0.903875[/C][/ROW]
[ROW][C]10[/C][C]-0.040494[/C][C]-0.3137[/C][C]0.62257[/C][/ROW]
[ROW][C]11[/C][C]0.32448[/C][C]2.5134[/C][C]0.00733[/C][/ROW]
[ROW][C]12[/C][C]-0.239124[/C][C]-1.8522[/C][C]0.965544[/C][/ROW]
[ROW][C]13[/C][C]-0.201676[/C][C]-1.5622[/C][C]0.938247[/C][/ROW]
[ROW][C]14[/C][C]0.19489[/C][C]1.5096[/C][C]0.068195[/C][/ROW]
[ROW][C]15[/C][C]0.018406[/C][C]0.1426[/C][C]0.443553[/C][/ROW]
[ROW][C]16[/C][C]0.07376[/C][C]0.5713[/C][C]0.284951[/C][/ROW]
[ROW][C]17[/C][C]-0.160517[/C][C]-1.2434[/C][C]0.890714[/C][/ROW]
[ROW][C]18[/C][C]-0.02957[/C][C]-0.229[/C][C]0.590194[/C][/ROW]
[ROW][C]19[/C][C]0.101289[/C][C]0.7846[/C][C]0.217894[/C][/ROW]
[ROW][C]20[/C][C]0.062774[/C][C]0.4862[/C][C]0.314283[/C][/ROW]
[ROW][C]21[/C][C]-0.096129[/C][C]-0.7446[/C][C]0.770293[/C][/ROW]
[ROW][C]22[/C][C]0.034142[/C][C]0.2645[/C][C]0.396165[/C][/ROW]
[ROW][C]23[/C][C]0.038375[/C][C]0.2973[/C][C]0.38365[/C][/ROW]
[ROW][C]24[/C][C]-0.08115[/C][C]-0.6286[/C][C]0.733998[/C][/ROW]
[ROW][C]25[/C][C]-0.093839[/C][C]-0.7269[/C][C]0.764934[/C][/ROW]
[ROW][C]26[/C][C]-0.13625[/C][C]-1.0554[/C][C]0.85226[/C][/ROW]
[ROW][C]27[/C][C]-0.077551[/C][C]-0.6007[/C][C]0.72485[/C][/ROW]
[ROW][C]28[/C][C]-0.053385[/C][C]-0.4135[/C][C]0.659648[/C][/ROW]
[ROW][C]29[/C][C]-0.099135[/C][C]-0.7679[/C][C]0.77722[/C][/ROW]
[ROW][C]30[/C][C]-0.048275[/C][C]-0.3739[/C][C]0.645116[/C][/ROW]
[ROW][C]31[/C][C]-0.024999[/C][C]-0.1936[/C][C]0.576445[/C][/ROW]
[ROW][C]32[/C][C]-0.087963[/C][C]-0.6814[/C][C]0.750868[/C][/ROW]
[ROW][C]33[/C][C]0.115896[/C][C]0.8977[/C][C]0.18646[/C][/ROW]
[ROW][C]34[/C][C]-0.024886[/C][C]-0.1928[/C][C]0.576103[/C][/ROW]
[ROW][C]35[/C][C]-0.02271[/C][C]-0.1759[/C][C]0.56952[/C][/ROW]
[ROW][C]36[/C][C]-0.007845[/C][C]-0.0608[/C][C]0.524128[/C][/ROW]
[ROW][C]37[/C][C]0.094856[/C][C]0.7348[/C][C]0.232676[/C][/ROW]
[ROW][C]38[/C][C]-0.014842[/C][C]-0.115[/C][C]0.545573[/C][/ROW]
[ROW][C]39[/C][C]-0.081893[/C][C]-0.6343[/C][C]0.735865[/C][/ROW]
[ROW][C]40[/C][C]-0.008947[/C][C]-0.0693[/C][C]0.52751[/C][/ROW]
[ROW][C]41[/C][C]-0.022841[/C][C]-0.1769[/C][C]0.56992[/C][/ROW]
[ROW][C]42[/C][C]-0.14496[/C][C]-1.1229[/C][C]0.867014[/C][/ROW]
[ROW][C]43[/C][C]-0.122754[/C][C]-0.9508[/C][C]0.827251[/C][/ROW]
[ROW][C]44[/C][C]0.144345[/C][C]1.1181[/C][C]0.133992[/C][/ROW]
[ROW][C]45[/C][C]-0.058878[/C][C]-0.4561[/C][C]0.675006[/C][/ROW]
[ROW][C]46[/C][C]-0.032487[/C][C]-0.2516[/C][C]0.598911[/C][/ROW]
[ROW][C]47[/C][C]0.038139[/C][C]0.2954[/C][C]0.384346[/C][/ROW]
[ROW][C]48[/C][C]-0.034914[/C][C]-0.2704[/C][C]0.606127[/C][/ROW]
[ROW][C]49[/C][C]0.040001[/C][C]0.3098[/C][C]0.378876[/C][/ROW]
[ROW][C]50[/C][C]-0.02142[/C][C]-0.1659[/C][C]0.565611[/C][/ROW]
[ROW][C]51[/C][C]-0.05874[/C][C]-0.455[/C][C]0.674623[/C][/ROW]
[ROW][C]52[/C][C]-0.037638[/C][C]-0.2915[/C][C]0.61418[/C][/ROW]
[ROW][C]53[/C][C]0.002973[/C][C]0.023[/C][C]0.490853[/C][/ROW]
[ROW][C]54[/C][C]0.01024[/C][C]0.0793[/C][C]0.468521[/C][/ROW]
[ROW][C]55[/C][C]0.030047[/C][C]0.2327[/C][C]0.408377[/C][/ROW]
[ROW][C]56[/C][C]0.033546[/C][C]0.2598[/C][C]0.397936[/C][/ROW]
[ROW][C]57[/C][C]-0.031746[/C][C]-0.2459[/C][C]0.596703[/C][/ROW]
[ROW][C]58[/C][C]-0.044989[/C][C]-0.3485[/C][C]0.63565[/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=6989&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6989&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
00.4651113.60270.00032
10.27352.11850.01914
20.1182030.91560.181772
3-0.062538-0.48440.685074
40.2002691.55130.063047
50.0258380.20010.421024
6-0.030766-0.23830.593775
7-0.150351-1.16460.875608
8-0.262968-2.03690.976963
9-0.170255-1.31880.903875
10-0.040494-0.31370.62257
110.324482.51340.00733
12-0.239124-1.85220.965544
13-0.201676-1.56220.938247
140.194891.50960.068195
150.0184060.14260.443553
160.073760.57130.284951
17-0.160517-1.24340.890714
18-0.02957-0.2290.590194
190.1012890.78460.217894
200.0627740.48620.314283
21-0.096129-0.74460.770293
220.0341420.26450.396165
230.0383750.29730.38365
24-0.08115-0.62860.733998
25-0.093839-0.72690.764934
26-0.13625-1.05540.85226
27-0.077551-0.60070.72485
28-0.053385-0.41350.659648
29-0.099135-0.76790.77722
30-0.048275-0.37390.645116
31-0.024999-0.19360.576445
32-0.087963-0.68140.750868
330.1158960.89770.18646
34-0.024886-0.19280.576103
35-0.02271-0.17590.56952
36-0.007845-0.06080.524128
370.0948560.73480.232676
38-0.014842-0.1150.545573
39-0.081893-0.63430.735865
40-0.008947-0.06930.52751
41-0.022841-0.17690.56992
42-0.14496-1.12290.867014
43-0.122754-0.95080.827251
440.1443451.11810.133992
45-0.058878-0.45610.675006
46-0.032487-0.25160.598911
470.0381390.29540.384346
48-0.034914-0.27040.606127
490.0400010.30980.378876
50-0.02142-0.16590.565611
51-0.05874-0.4550.674623
52-0.037638-0.29150.61418
530.0029730.0230.490853
540.010240.07930.468521
550.0300470.23270.408377
560.0335460.25980.397936
57-0.031746-0.24590.596703
58-0.044989-0.34850.63565
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')