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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 03 May 2010 14:02:44 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/03/t1272895536txerknwpvydx7bd.htm/, Retrieved Fri, 29 Mar 2024 06:47:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75205, Retrieved Fri, 29 Mar 2024 06:47:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact170
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2010-05-03 14:02:44] [a1c0563c4f28de3d0d1958a3be552dbb] [Current]
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Dataseries X:
29133
24693
22205
21725
27192
21790
13253
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75205&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75205&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75205&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.313996-2.55090.006535
2-0.14493-1.17740.121628
30.1438131.16830.123436
4-0.127661-1.03710.151731
50.0332770.27030.393871
6-0.106706-0.86690.194574
7-0.041671-0.33850.368018
8-0.035915-0.29180.385687
90.1309051.06350.145721
10-0.173617-1.41050.081548
11-0.208245-1.69180.047701
120.7016025.69980
13-0.205379-1.66850.049976
14-0.111127-0.90280.184958
150.1281181.04080.150875
16-0.16371-1.330.094051
170.0585790.47590.317859
18-0.06819-0.5540.290732
19-0.087528-0.71110.239769
200.0862360.70060.243012
210.0423290.34390.366014
22-0.168455-1.36850.087893
23-0.117766-0.95670.171097
240.5085834.13175.2e-05
25-0.17673-1.43580.077896
26-0.00991-0.08050.468037
270.0238190.19350.423578
28-0.107523-0.87350.192772
290.1104540.89730.186401
30-0.134449-1.09230.139343
31-0.045433-0.36910.356617
320.0611360.49670.310536
330.0523750.42550.335928
34-0.114112-0.92710.178639
35-0.075886-0.61650.269842
360.3030252.46180.008223
37-0.103453-0.84050.201843
380.0215490.17510.430781
390.0105640.08580.465932
40-0.101085-0.82120.20724
410.1187960.96510.169008
42-0.135225-1.09860.137972
430.0056480.04590.481771
440.0660580.53670.296653
45-0.017805-0.14460.442715
46-0.002372-0.01930.492341
47-0.111817-0.90840.183485
480.1932231.56980.060628

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.313996 & -2.5509 & 0.006535 \tabularnewline
2 & -0.14493 & -1.1774 & 0.121628 \tabularnewline
3 & 0.143813 & 1.1683 & 0.123436 \tabularnewline
4 & -0.127661 & -1.0371 & 0.151731 \tabularnewline
5 & 0.033277 & 0.2703 & 0.393871 \tabularnewline
6 & -0.106706 & -0.8669 & 0.194574 \tabularnewline
7 & -0.041671 & -0.3385 & 0.368018 \tabularnewline
8 & -0.035915 & -0.2918 & 0.385687 \tabularnewline
9 & 0.130905 & 1.0635 & 0.145721 \tabularnewline
10 & -0.173617 & -1.4105 & 0.081548 \tabularnewline
11 & -0.208245 & -1.6918 & 0.047701 \tabularnewline
12 & 0.701602 & 5.6998 & 0 \tabularnewline
13 & -0.205379 & -1.6685 & 0.049976 \tabularnewline
14 & -0.111127 & -0.9028 & 0.184958 \tabularnewline
15 & 0.128118 & 1.0408 & 0.150875 \tabularnewline
16 & -0.16371 & -1.33 & 0.094051 \tabularnewline
17 & 0.058579 & 0.4759 & 0.317859 \tabularnewline
18 & -0.06819 & -0.554 & 0.290732 \tabularnewline
19 & -0.087528 & -0.7111 & 0.239769 \tabularnewline
20 & 0.086236 & 0.7006 & 0.243012 \tabularnewline
21 & 0.042329 & 0.3439 & 0.366014 \tabularnewline
22 & -0.168455 & -1.3685 & 0.087893 \tabularnewline
23 & -0.117766 & -0.9567 & 0.171097 \tabularnewline
24 & 0.508583 & 4.1317 & 5.2e-05 \tabularnewline
25 & -0.17673 & -1.4358 & 0.077896 \tabularnewline
26 & -0.00991 & -0.0805 & 0.468037 \tabularnewline
27 & 0.023819 & 0.1935 & 0.423578 \tabularnewline
28 & -0.107523 & -0.8735 & 0.192772 \tabularnewline
29 & 0.110454 & 0.8973 & 0.186401 \tabularnewline
30 & -0.134449 & -1.0923 & 0.139343 \tabularnewline
31 & -0.045433 & -0.3691 & 0.356617 \tabularnewline
32 & 0.061136 & 0.4967 & 0.310536 \tabularnewline
33 & 0.052375 & 0.4255 & 0.335928 \tabularnewline
34 & -0.114112 & -0.9271 & 0.178639 \tabularnewline
35 & -0.075886 & -0.6165 & 0.269842 \tabularnewline
36 & 0.303025 & 2.4618 & 0.008223 \tabularnewline
37 & -0.103453 & -0.8405 & 0.201843 \tabularnewline
38 & 0.021549 & 0.1751 & 0.430781 \tabularnewline
39 & 0.010564 & 0.0858 & 0.465932 \tabularnewline
40 & -0.101085 & -0.8212 & 0.20724 \tabularnewline
41 & 0.118796 & 0.9651 & 0.169008 \tabularnewline
42 & -0.135225 & -1.0986 & 0.137972 \tabularnewline
43 & 0.005648 & 0.0459 & 0.481771 \tabularnewline
44 & 0.066058 & 0.5367 & 0.296653 \tabularnewline
45 & -0.017805 & -0.1446 & 0.442715 \tabularnewline
46 & -0.002372 & -0.0193 & 0.492341 \tabularnewline
47 & -0.111817 & -0.9084 & 0.183485 \tabularnewline
48 & 0.193223 & 1.5698 & 0.060628 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75205&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]-0.313996[/C][C]-2.5509[/C][C]0.006535[/C][/ROW]
[ROW][C]2[/C][C]-0.14493[/C][C]-1.1774[/C][C]0.121628[/C][/ROW]
[ROW][C]3[/C][C]0.143813[/C][C]1.1683[/C][C]0.123436[/C][/ROW]
[ROW][C]4[/C][C]-0.127661[/C][C]-1.0371[/C][C]0.151731[/C][/ROW]
[ROW][C]5[/C][C]0.033277[/C][C]0.2703[/C][C]0.393871[/C][/ROW]
[ROW][C]6[/C][C]-0.106706[/C][C]-0.8669[/C][C]0.194574[/C][/ROW]
[ROW][C]7[/C][C]-0.041671[/C][C]-0.3385[/C][C]0.368018[/C][/ROW]
[ROW][C]8[/C][C]-0.035915[/C][C]-0.2918[/C][C]0.385687[/C][/ROW]
[ROW][C]9[/C][C]0.130905[/C][C]1.0635[/C][C]0.145721[/C][/ROW]
[ROW][C]10[/C][C]-0.173617[/C][C]-1.4105[/C][C]0.081548[/C][/ROW]
[ROW][C]11[/C][C]-0.208245[/C][C]-1.6918[/C][C]0.047701[/C][/ROW]
[ROW][C]12[/C][C]0.701602[/C][C]5.6998[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.205379[/C][C]-1.6685[/C][C]0.049976[/C][/ROW]
[ROW][C]14[/C][C]-0.111127[/C][C]-0.9028[/C][C]0.184958[/C][/ROW]
[ROW][C]15[/C][C]0.128118[/C][C]1.0408[/C][C]0.150875[/C][/ROW]
[ROW][C]16[/C][C]-0.16371[/C][C]-1.33[/C][C]0.094051[/C][/ROW]
[ROW][C]17[/C][C]0.058579[/C][C]0.4759[/C][C]0.317859[/C][/ROW]
[ROW][C]18[/C][C]-0.06819[/C][C]-0.554[/C][C]0.290732[/C][/ROW]
[ROW][C]19[/C][C]-0.087528[/C][C]-0.7111[/C][C]0.239769[/C][/ROW]
[ROW][C]20[/C][C]0.086236[/C][C]0.7006[/C][C]0.243012[/C][/ROW]
[ROW][C]21[/C][C]0.042329[/C][C]0.3439[/C][C]0.366014[/C][/ROW]
[ROW][C]22[/C][C]-0.168455[/C][C]-1.3685[/C][C]0.087893[/C][/ROW]
[ROW][C]23[/C][C]-0.117766[/C][C]-0.9567[/C][C]0.171097[/C][/ROW]
[ROW][C]24[/C][C]0.508583[/C][C]4.1317[/C][C]5.2e-05[/C][/ROW]
[ROW][C]25[/C][C]-0.17673[/C][C]-1.4358[/C][C]0.077896[/C][/ROW]
[ROW][C]26[/C][C]-0.00991[/C][C]-0.0805[/C][C]0.468037[/C][/ROW]
[ROW][C]27[/C][C]0.023819[/C][C]0.1935[/C][C]0.423578[/C][/ROW]
[ROW][C]28[/C][C]-0.107523[/C][C]-0.8735[/C][C]0.192772[/C][/ROW]
[ROW][C]29[/C][C]0.110454[/C][C]0.8973[/C][C]0.186401[/C][/ROW]
[ROW][C]30[/C][C]-0.134449[/C][C]-1.0923[/C][C]0.139343[/C][/ROW]
[ROW][C]31[/C][C]-0.045433[/C][C]-0.3691[/C][C]0.356617[/C][/ROW]
[ROW][C]32[/C][C]0.061136[/C][C]0.4967[/C][C]0.310536[/C][/ROW]
[ROW][C]33[/C][C]0.052375[/C][C]0.4255[/C][C]0.335928[/C][/ROW]
[ROW][C]34[/C][C]-0.114112[/C][C]-0.9271[/C][C]0.178639[/C][/ROW]
[ROW][C]35[/C][C]-0.075886[/C][C]-0.6165[/C][C]0.269842[/C][/ROW]
[ROW][C]36[/C][C]0.303025[/C][C]2.4618[/C][C]0.008223[/C][/ROW]
[ROW][C]37[/C][C]-0.103453[/C][C]-0.8405[/C][C]0.201843[/C][/ROW]
[ROW][C]38[/C][C]0.021549[/C][C]0.1751[/C][C]0.430781[/C][/ROW]
[ROW][C]39[/C][C]0.010564[/C][C]0.0858[/C][C]0.465932[/C][/ROW]
[ROW][C]40[/C][C]-0.101085[/C][C]-0.8212[/C][C]0.20724[/C][/ROW]
[ROW][C]41[/C][C]0.118796[/C][C]0.9651[/C][C]0.169008[/C][/ROW]
[ROW][C]42[/C][C]-0.135225[/C][C]-1.0986[/C][C]0.137972[/C][/ROW]
[ROW][C]43[/C][C]0.005648[/C][C]0.0459[/C][C]0.481771[/C][/ROW]
[ROW][C]44[/C][C]0.066058[/C][C]0.5367[/C][C]0.296653[/C][/ROW]
[ROW][C]45[/C][C]-0.017805[/C][C]-0.1446[/C][C]0.442715[/C][/ROW]
[ROW][C]46[/C][C]-0.002372[/C][C]-0.0193[/C][C]0.492341[/C][/ROW]
[ROW][C]47[/C][C]-0.111817[/C][C]-0.9084[/C][C]0.183485[/C][/ROW]
[ROW][C]48[/C][C]0.193223[/C][C]1.5698[/C][C]0.060628[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75205&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75205&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
1-0.313996-2.55090.006535
2-0.14493-1.17740.121628
30.1438131.16830.123436
4-0.127661-1.03710.151731
50.0332770.27030.393871
6-0.106706-0.86690.194574
7-0.041671-0.33850.368018
8-0.035915-0.29180.385687
90.1309051.06350.145721
10-0.173617-1.41050.081548
11-0.208245-1.69180.047701
120.7016025.69980
13-0.205379-1.66850.049976
14-0.111127-0.90280.184958
150.1281181.04080.150875
16-0.16371-1.330.094051
170.0585790.47590.317859
18-0.06819-0.5540.290732
19-0.087528-0.71110.239769
200.0862360.70060.243012
210.0423290.34390.366014
22-0.168455-1.36850.087893
23-0.117766-0.95670.171097
240.5085834.13175.2e-05
25-0.17673-1.43580.077896
26-0.00991-0.08050.468037
270.0238190.19350.423578
28-0.107523-0.87350.192772
290.1104540.89730.186401
30-0.134449-1.09230.139343
31-0.045433-0.36910.356617
320.0611360.49670.310536
330.0523750.42550.335928
34-0.114112-0.92710.178639
35-0.075886-0.61650.269842
360.3030252.46180.008223
37-0.103453-0.84050.201843
380.0215490.17510.430781
390.0105640.08580.465932
40-0.101085-0.82120.20724
410.1187960.96510.169008
42-0.135225-1.09860.137972
430.0056480.04590.481771
440.0660580.53670.296653
45-0.017805-0.14460.442715
46-0.002372-0.01930.492341
47-0.111817-0.90840.183485
480.1932231.56980.060628







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.313996-2.55090.006535
2-0.27016-2.19480.015851
30.0014140.01150.495433
4-0.130429-1.05960.146591
5-0.026806-0.21780.414138
6-0.186204-1.51270.067561
7-0.161051-1.30840.09764
8-0.232456-1.88850.031679
90.0065690.05340.478801
10-0.259749-2.11020.019317
11-0.512896-4.16684.6e-05
120.4392933.56880.000337
130.1790331.45450.075277
140.0358680.29140.385832
15-0.001609-0.01310.494804
16-0.052791-0.42890.334704
17-0.088441-0.71850.237493
18-0.022387-0.18190.428121
19-0.020003-0.16250.435703
200.1277881.03820.151494
21-0.066687-0.54180.294901
22-0.082584-0.67090.252309
23-0.058292-0.47360.318685
240.0519430.4220.337204
25-0.089786-0.72940.234161
260.1085540.88190.190516
27-0.129793-1.05440.147763
280.0278190.2260.410949
290.0726920.59060.278419
30-0.050452-0.40990.341614
310.0125950.10230.459406
32-0.165654-1.34580.09149
33-0.027059-0.21980.413341
340.1151570.93550.17646
350.0701770.57010.285266
36-0.106278-0.86340.195521
37-0.034479-0.28010.390136
38-0.125883-1.02270.155096
390.0866440.70390.241986
40-0.014143-0.11490.454437
41-0.005271-0.04280.482987
42-0.014721-0.11960.452583
430.0631650.51320.304779
440.0438920.35660.361271
450.0521770.42390.336512
460.0424450.34480.365661
47-0.048626-0.3950.347045
48-0.037563-0.30520.380601

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.313996 & -2.5509 & 0.006535 \tabularnewline
2 & -0.27016 & -2.1948 & 0.015851 \tabularnewline
3 & 0.001414 & 0.0115 & 0.495433 \tabularnewline
4 & -0.130429 & -1.0596 & 0.146591 \tabularnewline
5 & -0.026806 & -0.2178 & 0.414138 \tabularnewline
6 & -0.186204 & -1.5127 & 0.067561 \tabularnewline
7 & -0.161051 & -1.3084 & 0.09764 \tabularnewline
8 & -0.232456 & -1.8885 & 0.031679 \tabularnewline
9 & 0.006569 & 0.0534 & 0.478801 \tabularnewline
10 & -0.259749 & -2.1102 & 0.019317 \tabularnewline
11 & -0.512896 & -4.1668 & 4.6e-05 \tabularnewline
12 & 0.439293 & 3.5688 & 0.000337 \tabularnewline
13 & 0.179033 & 1.4545 & 0.075277 \tabularnewline
14 & 0.035868 & 0.2914 & 0.385832 \tabularnewline
15 & -0.001609 & -0.0131 & 0.494804 \tabularnewline
16 & -0.052791 & -0.4289 & 0.334704 \tabularnewline
17 & -0.088441 & -0.7185 & 0.237493 \tabularnewline
18 & -0.022387 & -0.1819 & 0.428121 \tabularnewline
19 & -0.020003 & -0.1625 & 0.435703 \tabularnewline
20 & 0.127788 & 1.0382 & 0.151494 \tabularnewline
21 & -0.066687 & -0.5418 & 0.294901 \tabularnewline
22 & -0.082584 & -0.6709 & 0.252309 \tabularnewline
23 & -0.058292 & -0.4736 & 0.318685 \tabularnewline
24 & 0.051943 & 0.422 & 0.337204 \tabularnewline
25 & -0.089786 & -0.7294 & 0.234161 \tabularnewline
26 & 0.108554 & 0.8819 & 0.190516 \tabularnewline
27 & -0.129793 & -1.0544 & 0.147763 \tabularnewline
28 & 0.027819 & 0.226 & 0.410949 \tabularnewline
29 & 0.072692 & 0.5906 & 0.278419 \tabularnewline
30 & -0.050452 & -0.4099 & 0.341614 \tabularnewline
31 & 0.012595 & 0.1023 & 0.459406 \tabularnewline
32 & -0.165654 & -1.3458 & 0.09149 \tabularnewline
33 & -0.027059 & -0.2198 & 0.413341 \tabularnewline
34 & 0.115157 & 0.9355 & 0.17646 \tabularnewline
35 & 0.070177 & 0.5701 & 0.285266 \tabularnewline
36 & -0.106278 & -0.8634 & 0.195521 \tabularnewline
37 & -0.034479 & -0.2801 & 0.390136 \tabularnewline
38 & -0.125883 & -1.0227 & 0.155096 \tabularnewline
39 & 0.086644 & 0.7039 & 0.241986 \tabularnewline
40 & -0.014143 & -0.1149 & 0.454437 \tabularnewline
41 & -0.005271 & -0.0428 & 0.482987 \tabularnewline
42 & -0.014721 & -0.1196 & 0.452583 \tabularnewline
43 & 0.063165 & 0.5132 & 0.304779 \tabularnewline
44 & 0.043892 & 0.3566 & 0.361271 \tabularnewline
45 & 0.052177 & 0.4239 & 0.336512 \tabularnewline
46 & 0.042445 & 0.3448 & 0.365661 \tabularnewline
47 & -0.048626 & -0.395 & 0.347045 \tabularnewline
48 & -0.037563 & -0.3052 & 0.380601 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75205&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]-0.313996[/C][C]-2.5509[/C][C]0.006535[/C][/ROW]
[ROW][C]2[/C][C]-0.27016[/C][C]-2.1948[/C][C]0.015851[/C][/ROW]
[ROW][C]3[/C][C]0.001414[/C][C]0.0115[/C][C]0.495433[/C][/ROW]
[ROW][C]4[/C][C]-0.130429[/C][C]-1.0596[/C][C]0.146591[/C][/ROW]
[ROW][C]5[/C][C]-0.026806[/C][C]-0.2178[/C][C]0.414138[/C][/ROW]
[ROW][C]6[/C][C]-0.186204[/C][C]-1.5127[/C][C]0.067561[/C][/ROW]
[ROW][C]7[/C][C]-0.161051[/C][C]-1.3084[/C][C]0.09764[/C][/ROW]
[ROW][C]8[/C][C]-0.232456[/C][C]-1.8885[/C][C]0.031679[/C][/ROW]
[ROW][C]9[/C][C]0.006569[/C][C]0.0534[/C][C]0.478801[/C][/ROW]
[ROW][C]10[/C][C]-0.259749[/C][C]-2.1102[/C][C]0.019317[/C][/ROW]
[ROW][C]11[/C][C]-0.512896[/C][C]-4.1668[/C][C]4.6e-05[/C][/ROW]
[ROW][C]12[/C][C]0.439293[/C][C]3.5688[/C][C]0.000337[/C][/ROW]
[ROW][C]13[/C][C]0.179033[/C][C]1.4545[/C][C]0.075277[/C][/ROW]
[ROW][C]14[/C][C]0.035868[/C][C]0.2914[/C][C]0.385832[/C][/ROW]
[ROW][C]15[/C][C]-0.001609[/C][C]-0.0131[/C][C]0.494804[/C][/ROW]
[ROW][C]16[/C][C]-0.052791[/C][C]-0.4289[/C][C]0.334704[/C][/ROW]
[ROW][C]17[/C][C]-0.088441[/C][C]-0.7185[/C][C]0.237493[/C][/ROW]
[ROW][C]18[/C][C]-0.022387[/C][C]-0.1819[/C][C]0.428121[/C][/ROW]
[ROW][C]19[/C][C]-0.020003[/C][C]-0.1625[/C][C]0.435703[/C][/ROW]
[ROW][C]20[/C][C]0.127788[/C][C]1.0382[/C][C]0.151494[/C][/ROW]
[ROW][C]21[/C][C]-0.066687[/C][C]-0.5418[/C][C]0.294901[/C][/ROW]
[ROW][C]22[/C][C]-0.082584[/C][C]-0.6709[/C][C]0.252309[/C][/ROW]
[ROW][C]23[/C][C]-0.058292[/C][C]-0.4736[/C][C]0.318685[/C][/ROW]
[ROW][C]24[/C][C]0.051943[/C][C]0.422[/C][C]0.337204[/C][/ROW]
[ROW][C]25[/C][C]-0.089786[/C][C]-0.7294[/C][C]0.234161[/C][/ROW]
[ROW][C]26[/C][C]0.108554[/C][C]0.8819[/C][C]0.190516[/C][/ROW]
[ROW][C]27[/C][C]-0.129793[/C][C]-1.0544[/C][C]0.147763[/C][/ROW]
[ROW][C]28[/C][C]0.027819[/C][C]0.226[/C][C]0.410949[/C][/ROW]
[ROW][C]29[/C][C]0.072692[/C][C]0.5906[/C][C]0.278419[/C][/ROW]
[ROW][C]30[/C][C]-0.050452[/C][C]-0.4099[/C][C]0.341614[/C][/ROW]
[ROW][C]31[/C][C]0.012595[/C][C]0.1023[/C][C]0.459406[/C][/ROW]
[ROW][C]32[/C][C]-0.165654[/C][C]-1.3458[/C][C]0.09149[/C][/ROW]
[ROW][C]33[/C][C]-0.027059[/C][C]-0.2198[/C][C]0.413341[/C][/ROW]
[ROW][C]34[/C][C]0.115157[/C][C]0.9355[/C][C]0.17646[/C][/ROW]
[ROW][C]35[/C][C]0.070177[/C][C]0.5701[/C][C]0.285266[/C][/ROW]
[ROW][C]36[/C][C]-0.106278[/C][C]-0.8634[/C][C]0.195521[/C][/ROW]
[ROW][C]37[/C][C]-0.034479[/C][C]-0.2801[/C][C]0.390136[/C][/ROW]
[ROW][C]38[/C][C]-0.125883[/C][C]-1.0227[/C][C]0.155096[/C][/ROW]
[ROW][C]39[/C][C]0.086644[/C][C]0.7039[/C][C]0.241986[/C][/ROW]
[ROW][C]40[/C][C]-0.014143[/C][C]-0.1149[/C][C]0.454437[/C][/ROW]
[ROW][C]41[/C][C]-0.005271[/C][C]-0.0428[/C][C]0.482987[/C][/ROW]
[ROW][C]42[/C][C]-0.014721[/C][C]-0.1196[/C][C]0.452583[/C][/ROW]
[ROW][C]43[/C][C]0.063165[/C][C]0.5132[/C][C]0.304779[/C][/ROW]
[ROW][C]44[/C][C]0.043892[/C][C]0.3566[/C][C]0.361271[/C][/ROW]
[ROW][C]45[/C][C]0.052177[/C][C]0.4239[/C][C]0.336512[/C][/ROW]
[ROW][C]46[/C][C]0.042445[/C][C]0.3448[/C][C]0.365661[/C][/ROW]
[ROW][C]47[/C][C]-0.048626[/C][C]-0.395[/C][C]0.347045[/C][/ROW]
[ROW][C]48[/C][C]-0.037563[/C][C]-0.3052[/C][C]0.380601[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75205&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75205&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
1-0.313996-2.55090.006535
2-0.27016-2.19480.015851
30.0014140.01150.495433
4-0.130429-1.05960.146591
5-0.026806-0.21780.414138
6-0.186204-1.51270.067561
7-0.161051-1.30840.09764
8-0.232456-1.88850.031679
90.0065690.05340.478801
10-0.259749-2.11020.019317
11-0.512896-4.16684.6e-05
120.4392933.56880.000337
130.1790331.45450.075277
140.0358680.29140.385832
15-0.001609-0.01310.494804
16-0.052791-0.42890.334704
17-0.088441-0.71850.237493
18-0.022387-0.18190.428121
19-0.020003-0.16250.435703
200.1277881.03820.151494
21-0.066687-0.54180.294901
22-0.082584-0.67090.252309
23-0.058292-0.47360.318685
240.0519430.4220.337204
25-0.089786-0.72940.234161
260.1085540.88190.190516
27-0.129793-1.05440.147763
280.0278190.2260.410949
290.0726920.59060.278419
30-0.050452-0.40990.341614
310.0125950.10230.459406
32-0.165654-1.34580.09149
33-0.027059-0.21980.413341
340.1151570.93550.17646
350.0701770.57010.285266
36-0.106278-0.86340.195521
37-0.034479-0.28010.390136
38-0.125883-1.02270.155096
390.0866440.70390.241986
40-0.014143-0.11490.454437
41-0.005271-0.04280.482987
42-0.014721-0.11960.452583
430.0631650.51320.304779
440.0438920.35660.361271
450.0521770.42390.336512
460.0424450.34480.365661
47-0.048626-0.3950.347045
48-0.037563-0.30520.380601



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')