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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 14:03:14 +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/t1272895585ikgyuh01u0ncpcd.htm/, Retrieved Thu, 28 Mar 2024 13:14:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75206, Retrieved Thu, 28 Mar 2024 13:14:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact167
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2010-05-03 14:03:14] [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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75206&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75206&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75206&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3512422.8750.002705
20.1321651.08180.141607
30.100540.8230.206726
4-0.106058-0.86810.194213
5-0.173424-1.41950.08019
6-0.275599-2.25590.013674
7-0.184131-1.50720.068233
8-0.113405-0.92830.178302
90.0350330.28680.387593
100.0326590.26730.395021
110.2273871.86120.033549
120.6969655.70490
130.2320861.89970.030888
140.0483250.39560.346846
150.0243310.19920.421373
16-0.164858-1.34940.090872
17-0.186503-1.52660.065785
18-0.265666-2.17460.016599
19-0.213437-1.74710.042605
20-0.108059-0.88450.189795
21-0.057874-0.47370.318621
22-0.036547-0.29910.382877
230.1529491.25190.107472
240.493114.03637.1e-05
250.154191.26210.105644
260.0423830.34690.36487
27-0.00813-0.06650.47357
28-0.119369-0.97710.166022
29-0.120904-0.98960.162955
30-0.225355-1.84460.034758
31-0.143723-1.17640.121794
32-0.053613-0.43880.331093
33-0.011649-0.09540.462159
34-0.021718-0.17780.429721
350.1002710.82080.207349
360.3442652.81790.003174
370.1119390.91630.181408
380.0381790.31250.377812
39-0.018851-0.15430.438917
40-0.111125-0.90960.183148
41-0.111563-0.91320.18221
42-0.2152-1.76150.041359
43-0.144449-1.18240.12062
44-0.09046-0.74050.230807
45-0.079762-0.65290.258033
46-0.060862-0.49820.309996
47-0.030201-0.24720.402751
480.1619481.32560.094737

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.351242 & 2.875 & 0.002705 \tabularnewline
2 & 0.132165 & 1.0818 & 0.141607 \tabularnewline
3 & 0.10054 & 0.823 & 0.206726 \tabularnewline
4 & -0.106058 & -0.8681 & 0.194213 \tabularnewline
5 & -0.173424 & -1.4195 & 0.08019 \tabularnewline
6 & -0.275599 & -2.2559 & 0.013674 \tabularnewline
7 & -0.184131 & -1.5072 & 0.068233 \tabularnewline
8 & -0.113405 & -0.9283 & 0.178302 \tabularnewline
9 & 0.035033 & 0.2868 & 0.387593 \tabularnewline
10 & 0.032659 & 0.2673 & 0.395021 \tabularnewline
11 & 0.227387 & 1.8612 & 0.033549 \tabularnewline
12 & 0.696965 & 5.7049 & 0 \tabularnewline
13 & 0.232086 & 1.8997 & 0.030888 \tabularnewline
14 & 0.048325 & 0.3956 & 0.346846 \tabularnewline
15 & 0.024331 & 0.1992 & 0.421373 \tabularnewline
16 & -0.164858 & -1.3494 & 0.090872 \tabularnewline
17 & -0.186503 & -1.5266 & 0.065785 \tabularnewline
18 & -0.265666 & -2.1746 & 0.016599 \tabularnewline
19 & -0.213437 & -1.7471 & 0.042605 \tabularnewline
20 & -0.108059 & -0.8845 & 0.189795 \tabularnewline
21 & -0.057874 & -0.4737 & 0.318621 \tabularnewline
22 & -0.036547 & -0.2991 & 0.382877 \tabularnewline
23 & 0.152949 & 1.2519 & 0.107472 \tabularnewline
24 & 0.49311 & 4.0363 & 7.1e-05 \tabularnewline
25 & 0.15419 & 1.2621 & 0.105644 \tabularnewline
26 & 0.042383 & 0.3469 & 0.36487 \tabularnewline
27 & -0.00813 & -0.0665 & 0.47357 \tabularnewline
28 & -0.119369 & -0.9771 & 0.166022 \tabularnewline
29 & -0.120904 & -0.9896 & 0.162955 \tabularnewline
30 & -0.225355 & -1.8446 & 0.034758 \tabularnewline
31 & -0.143723 & -1.1764 & 0.121794 \tabularnewline
32 & -0.053613 & -0.4388 & 0.331093 \tabularnewline
33 & -0.011649 & -0.0954 & 0.462159 \tabularnewline
34 & -0.021718 & -0.1778 & 0.429721 \tabularnewline
35 & 0.100271 & 0.8208 & 0.207349 \tabularnewline
36 & 0.344265 & 2.8179 & 0.003174 \tabularnewline
37 & 0.111939 & 0.9163 & 0.181408 \tabularnewline
38 & 0.038179 & 0.3125 & 0.377812 \tabularnewline
39 & -0.018851 & -0.1543 & 0.438917 \tabularnewline
40 & -0.111125 & -0.9096 & 0.183148 \tabularnewline
41 & -0.111563 & -0.9132 & 0.18221 \tabularnewline
42 & -0.2152 & -1.7615 & 0.041359 \tabularnewline
43 & -0.144449 & -1.1824 & 0.12062 \tabularnewline
44 & -0.09046 & -0.7405 & 0.230807 \tabularnewline
45 & -0.079762 & -0.6529 & 0.258033 \tabularnewline
46 & -0.060862 & -0.4982 & 0.309996 \tabularnewline
47 & -0.030201 & -0.2472 & 0.402751 \tabularnewline
48 & 0.161948 & 1.3256 & 0.094737 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75206&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]0.351242[/C][C]2.875[/C][C]0.002705[/C][/ROW]
[ROW][C]2[/C][C]0.132165[/C][C]1.0818[/C][C]0.141607[/C][/ROW]
[ROW][C]3[/C][C]0.10054[/C][C]0.823[/C][C]0.206726[/C][/ROW]
[ROW][C]4[/C][C]-0.106058[/C][C]-0.8681[/C][C]0.194213[/C][/ROW]
[ROW][C]5[/C][C]-0.173424[/C][C]-1.4195[/C][C]0.08019[/C][/ROW]
[ROW][C]6[/C][C]-0.275599[/C][C]-2.2559[/C][C]0.013674[/C][/ROW]
[ROW][C]7[/C][C]-0.184131[/C][C]-1.5072[/C][C]0.068233[/C][/ROW]
[ROW][C]8[/C][C]-0.113405[/C][C]-0.9283[/C][C]0.178302[/C][/ROW]
[ROW][C]9[/C][C]0.035033[/C][C]0.2868[/C][C]0.387593[/C][/ROW]
[ROW][C]10[/C][C]0.032659[/C][C]0.2673[/C][C]0.395021[/C][/ROW]
[ROW][C]11[/C][C]0.227387[/C][C]1.8612[/C][C]0.033549[/C][/ROW]
[ROW][C]12[/C][C]0.696965[/C][C]5.7049[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.232086[/C][C]1.8997[/C][C]0.030888[/C][/ROW]
[ROW][C]14[/C][C]0.048325[/C][C]0.3956[/C][C]0.346846[/C][/ROW]
[ROW][C]15[/C][C]0.024331[/C][C]0.1992[/C][C]0.421373[/C][/ROW]
[ROW][C]16[/C][C]-0.164858[/C][C]-1.3494[/C][C]0.090872[/C][/ROW]
[ROW][C]17[/C][C]-0.186503[/C][C]-1.5266[/C][C]0.065785[/C][/ROW]
[ROW][C]18[/C][C]-0.265666[/C][C]-2.1746[/C][C]0.016599[/C][/ROW]
[ROW][C]19[/C][C]-0.213437[/C][C]-1.7471[/C][C]0.042605[/C][/ROW]
[ROW][C]20[/C][C]-0.108059[/C][C]-0.8845[/C][C]0.189795[/C][/ROW]
[ROW][C]21[/C][C]-0.057874[/C][C]-0.4737[/C][C]0.318621[/C][/ROW]
[ROW][C]22[/C][C]-0.036547[/C][C]-0.2991[/C][C]0.382877[/C][/ROW]
[ROW][C]23[/C][C]0.152949[/C][C]1.2519[/C][C]0.107472[/C][/ROW]
[ROW][C]24[/C][C]0.49311[/C][C]4.0363[/C][C]7.1e-05[/C][/ROW]
[ROW][C]25[/C][C]0.15419[/C][C]1.2621[/C][C]0.105644[/C][/ROW]
[ROW][C]26[/C][C]0.042383[/C][C]0.3469[/C][C]0.36487[/C][/ROW]
[ROW][C]27[/C][C]-0.00813[/C][C]-0.0665[/C][C]0.47357[/C][/ROW]
[ROW][C]28[/C][C]-0.119369[/C][C]-0.9771[/C][C]0.166022[/C][/ROW]
[ROW][C]29[/C][C]-0.120904[/C][C]-0.9896[/C][C]0.162955[/C][/ROW]
[ROW][C]30[/C][C]-0.225355[/C][C]-1.8446[/C][C]0.034758[/C][/ROW]
[ROW][C]31[/C][C]-0.143723[/C][C]-1.1764[/C][C]0.121794[/C][/ROW]
[ROW][C]32[/C][C]-0.053613[/C][C]-0.4388[/C][C]0.331093[/C][/ROW]
[ROW][C]33[/C][C]-0.011649[/C][C]-0.0954[/C][C]0.462159[/C][/ROW]
[ROW][C]34[/C][C]-0.021718[/C][C]-0.1778[/C][C]0.429721[/C][/ROW]
[ROW][C]35[/C][C]0.100271[/C][C]0.8208[/C][C]0.207349[/C][/ROW]
[ROW][C]36[/C][C]0.344265[/C][C]2.8179[/C][C]0.003174[/C][/ROW]
[ROW][C]37[/C][C]0.111939[/C][C]0.9163[/C][C]0.181408[/C][/ROW]
[ROW][C]38[/C][C]0.038179[/C][C]0.3125[/C][C]0.377812[/C][/ROW]
[ROW][C]39[/C][C]-0.018851[/C][C]-0.1543[/C][C]0.438917[/C][/ROW]
[ROW][C]40[/C][C]-0.111125[/C][C]-0.9096[/C][C]0.183148[/C][/ROW]
[ROW][C]41[/C][C]-0.111563[/C][C]-0.9132[/C][C]0.18221[/C][/ROW]
[ROW][C]42[/C][C]-0.2152[/C][C]-1.7615[/C][C]0.041359[/C][/ROW]
[ROW][C]43[/C][C]-0.144449[/C][C]-1.1824[/C][C]0.12062[/C][/ROW]
[ROW][C]44[/C][C]-0.09046[/C][C]-0.7405[/C][C]0.230807[/C][/ROW]
[ROW][C]45[/C][C]-0.079762[/C][C]-0.6529[/C][C]0.258033[/C][/ROW]
[ROW][C]46[/C][C]-0.060862[/C][C]-0.4982[/C][C]0.309996[/C][/ROW]
[ROW][C]47[/C][C]-0.030201[/C][C]-0.2472[/C][C]0.402751[/C][/ROW]
[ROW][C]48[/C][C]0.161948[/C][C]1.3256[/C][C]0.094737[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75206&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75206&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
10.3512422.8750.002705
20.1321651.08180.141607
30.100540.8230.206726
4-0.106058-0.86810.194213
5-0.173424-1.41950.08019
6-0.275599-2.25590.013674
7-0.184131-1.50720.068233
8-0.113405-0.92830.178302
90.0350330.28680.387593
100.0326590.26730.395021
110.2273871.86120.033549
120.6969655.70490
130.2320861.89970.030888
140.0483250.39560.346846
150.0243310.19920.421373
16-0.164858-1.34940.090872
17-0.186503-1.52660.065785
18-0.265666-2.17460.016599
19-0.213437-1.74710.042605
20-0.108059-0.88450.189795
21-0.057874-0.47370.318621
22-0.036547-0.29910.382877
230.1529491.25190.107472
240.493114.03637.1e-05
250.154191.26210.105644
260.0423830.34690.36487
27-0.00813-0.06650.47357
28-0.119369-0.97710.166022
29-0.120904-0.98960.162955
30-0.225355-1.84460.034758
31-0.143723-1.17640.121794
32-0.053613-0.43880.331093
33-0.011649-0.09540.462159
34-0.021718-0.17780.429721
350.1002710.82080.207349
360.3442652.81790.003174
370.1119390.91630.181408
380.0381790.31250.377812
39-0.018851-0.15430.438917
40-0.111125-0.90960.183148
41-0.111563-0.91320.18221
42-0.2152-1.76150.041359
43-0.144449-1.18240.12062
44-0.09046-0.74050.230807
45-0.079762-0.65290.258033
46-0.060862-0.49820.309996
47-0.030201-0.24720.402751
480.1619481.32560.094737







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3512422.8750.002705
20.0100310.08210.467402
30.0582530.47680.317522
4-0.183236-1.49980.069176
5-0.101873-0.83390.20366
6-0.207901-1.70170.04672
70.007050.05770.477078
8-0.03083-0.25240.400771
90.1318931.07960.142097
10-0.07204-0.58970.278697
110.2302921.8850.031882
120.6208815.08212e-06
13-0.276223-2.2610.013506
14-0.164888-1.34970.090832
15-0.080364-0.65780.256458
16-0.039429-0.32270.373948
170.0438580.3590.360364
180.0100850.08260.467227
19-0.085573-0.70040.243036
200.0094690.07750.469226
21-0.149917-1.22710.112036
220.0342530.28040.390029
230.0386610.31650.37632
240.0078890.06460.474353
25-0.056513-0.46260.322583
260.0586740.48030.316301
27-0.085538-0.70020.243127
280.1461861.19660.117842
290.0006290.00510.497953
30-0.059192-0.48450.314804
310.073040.59790.275974
32-0.011085-0.09070.463986
330.1340781.09750.138181
34-0.01434-0.11740.453455
35-0.165109-1.35150.090545
36-0.019317-0.15810.437419
370.0318280.26050.397628
380.0147220.12050.452222
390.0741220.60670.273046
40-0.163217-1.3360.093037
41-0.083179-0.68080.249158
42-0.005228-0.04280.482998
43-0.049026-0.40130.344739
44-0.047104-0.38560.350521
45-0.098815-0.80880.210737
46-0.080805-0.66140.255306
47-0.079085-0.64730.259812
48-0.054298-0.44440.329076

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.351242 & 2.875 & 0.002705 \tabularnewline
2 & 0.010031 & 0.0821 & 0.467402 \tabularnewline
3 & 0.058253 & 0.4768 & 0.317522 \tabularnewline
4 & -0.183236 & -1.4998 & 0.069176 \tabularnewline
5 & -0.101873 & -0.8339 & 0.20366 \tabularnewline
6 & -0.207901 & -1.7017 & 0.04672 \tabularnewline
7 & 0.00705 & 0.0577 & 0.477078 \tabularnewline
8 & -0.03083 & -0.2524 & 0.400771 \tabularnewline
9 & 0.131893 & 1.0796 & 0.142097 \tabularnewline
10 & -0.07204 & -0.5897 & 0.278697 \tabularnewline
11 & 0.230292 & 1.885 & 0.031882 \tabularnewline
12 & 0.620881 & 5.0821 & 2e-06 \tabularnewline
13 & -0.276223 & -2.261 & 0.013506 \tabularnewline
14 & -0.164888 & -1.3497 & 0.090832 \tabularnewline
15 & -0.080364 & -0.6578 & 0.256458 \tabularnewline
16 & -0.039429 & -0.3227 & 0.373948 \tabularnewline
17 & 0.043858 & 0.359 & 0.360364 \tabularnewline
18 & 0.010085 & 0.0826 & 0.467227 \tabularnewline
19 & -0.085573 & -0.7004 & 0.243036 \tabularnewline
20 & 0.009469 & 0.0775 & 0.469226 \tabularnewline
21 & -0.149917 & -1.2271 & 0.112036 \tabularnewline
22 & 0.034253 & 0.2804 & 0.390029 \tabularnewline
23 & 0.038661 & 0.3165 & 0.37632 \tabularnewline
24 & 0.007889 & 0.0646 & 0.474353 \tabularnewline
25 & -0.056513 & -0.4626 & 0.322583 \tabularnewline
26 & 0.058674 & 0.4803 & 0.316301 \tabularnewline
27 & -0.085538 & -0.7002 & 0.243127 \tabularnewline
28 & 0.146186 & 1.1966 & 0.117842 \tabularnewline
29 & 0.000629 & 0.0051 & 0.497953 \tabularnewline
30 & -0.059192 & -0.4845 & 0.314804 \tabularnewline
31 & 0.07304 & 0.5979 & 0.275974 \tabularnewline
32 & -0.011085 & -0.0907 & 0.463986 \tabularnewline
33 & 0.134078 & 1.0975 & 0.138181 \tabularnewline
34 & -0.01434 & -0.1174 & 0.453455 \tabularnewline
35 & -0.165109 & -1.3515 & 0.090545 \tabularnewline
36 & -0.019317 & -0.1581 & 0.437419 \tabularnewline
37 & 0.031828 & 0.2605 & 0.397628 \tabularnewline
38 & 0.014722 & 0.1205 & 0.452222 \tabularnewline
39 & 0.074122 & 0.6067 & 0.273046 \tabularnewline
40 & -0.163217 & -1.336 & 0.093037 \tabularnewline
41 & -0.083179 & -0.6808 & 0.249158 \tabularnewline
42 & -0.005228 & -0.0428 & 0.482998 \tabularnewline
43 & -0.049026 & -0.4013 & 0.344739 \tabularnewline
44 & -0.047104 & -0.3856 & 0.350521 \tabularnewline
45 & -0.098815 & -0.8088 & 0.210737 \tabularnewline
46 & -0.080805 & -0.6614 & 0.255306 \tabularnewline
47 & -0.079085 & -0.6473 & 0.259812 \tabularnewline
48 & -0.054298 & -0.4444 & 0.329076 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75206&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]0.351242[/C][C]2.875[/C][C]0.002705[/C][/ROW]
[ROW][C]2[/C][C]0.010031[/C][C]0.0821[/C][C]0.467402[/C][/ROW]
[ROW][C]3[/C][C]0.058253[/C][C]0.4768[/C][C]0.317522[/C][/ROW]
[ROW][C]4[/C][C]-0.183236[/C][C]-1.4998[/C][C]0.069176[/C][/ROW]
[ROW][C]5[/C][C]-0.101873[/C][C]-0.8339[/C][C]0.20366[/C][/ROW]
[ROW][C]6[/C][C]-0.207901[/C][C]-1.7017[/C][C]0.04672[/C][/ROW]
[ROW][C]7[/C][C]0.00705[/C][C]0.0577[/C][C]0.477078[/C][/ROW]
[ROW][C]8[/C][C]-0.03083[/C][C]-0.2524[/C][C]0.400771[/C][/ROW]
[ROW][C]9[/C][C]0.131893[/C][C]1.0796[/C][C]0.142097[/C][/ROW]
[ROW][C]10[/C][C]-0.07204[/C][C]-0.5897[/C][C]0.278697[/C][/ROW]
[ROW][C]11[/C][C]0.230292[/C][C]1.885[/C][C]0.031882[/C][/ROW]
[ROW][C]12[/C][C]0.620881[/C][C]5.0821[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.276223[/C][C]-2.261[/C][C]0.013506[/C][/ROW]
[ROW][C]14[/C][C]-0.164888[/C][C]-1.3497[/C][C]0.090832[/C][/ROW]
[ROW][C]15[/C][C]-0.080364[/C][C]-0.6578[/C][C]0.256458[/C][/ROW]
[ROW][C]16[/C][C]-0.039429[/C][C]-0.3227[/C][C]0.373948[/C][/ROW]
[ROW][C]17[/C][C]0.043858[/C][C]0.359[/C][C]0.360364[/C][/ROW]
[ROW][C]18[/C][C]0.010085[/C][C]0.0826[/C][C]0.467227[/C][/ROW]
[ROW][C]19[/C][C]-0.085573[/C][C]-0.7004[/C][C]0.243036[/C][/ROW]
[ROW][C]20[/C][C]0.009469[/C][C]0.0775[/C][C]0.469226[/C][/ROW]
[ROW][C]21[/C][C]-0.149917[/C][C]-1.2271[/C][C]0.112036[/C][/ROW]
[ROW][C]22[/C][C]0.034253[/C][C]0.2804[/C][C]0.390029[/C][/ROW]
[ROW][C]23[/C][C]0.038661[/C][C]0.3165[/C][C]0.37632[/C][/ROW]
[ROW][C]24[/C][C]0.007889[/C][C]0.0646[/C][C]0.474353[/C][/ROW]
[ROW][C]25[/C][C]-0.056513[/C][C]-0.4626[/C][C]0.322583[/C][/ROW]
[ROW][C]26[/C][C]0.058674[/C][C]0.4803[/C][C]0.316301[/C][/ROW]
[ROW][C]27[/C][C]-0.085538[/C][C]-0.7002[/C][C]0.243127[/C][/ROW]
[ROW][C]28[/C][C]0.146186[/C][C]1.1966[/C][C]0.117842[/C][/ROW]
[ROW][C]29[/C][C]0.000629[/C][C]0.0051[/C][C]0.497953[/C][/ROW]
[ROW][C]30[/C][C]-0.059192[/C][C]-0.4845[/C][C]0.314804[/C][/ROW]
[ROW][C]31[/C][C]0.07304[/C][C]0.5979[/C][C]0.275974[/C][/ROW]
[ROW][C]32[/C][C]-0.011085[/C][C]-0.0907[/C][C]0.463986[/C][/ROW]
[ROW][C]33[/C][C]0.134078[/C][C]1.0975[/C][C]0.138181[/C][/ROW]
[ROW][C]34[/C][C]-0.01434[/C][C]-0.1174[/C][C]0.453455[/C][/ROW]
[ROW][C]35[/C][C]-0.165109[/C][C]-1.3515[/C][C]0.090545[/C][/ROW]
[ROW][C]36[/C][C]-0.019317[/C][C]-0.1581[/C][C]0.437419[/C][/ROW]
[ROW][C]37[/C][C]0.031828[/C][C]0.2605[/C][C]0.397628[/C][/ROW]
[ROW][C]38[/C][C]0.014722[/C][C]0.1205[/C][C]0.452222[/C][/ROW]
[ROW][C]39[/C][C]0.074122[/C][C]0.6067[/C][C]0.273046[/C][/ROW]
[ROW][C]40[/C][C]-0.163217[/C][C]-1.336[/C][C]0.093037[/C][/ROW]
[ROW][C]41[/C][C]-0.083179[/C][C]-0.6808[/C][C]0.249158[/C][/ROW]
[ROW][C]42[/C][C]-0.005228[/C][C]-0.0428[/C][C]0.482998[/C][/ROW]
[ROW][C]43[/C][C]-0.049026[/C][C]-0.4013[/C][C]0.344739[/C][/ROW]
[ROW][C]44[/C][C]-0.047104[/C][C]-0.3856[/C][C]0.350521[/C][/ROW]
[ROW][C]45[/C][C]-0.098815[/C][C]-0.8088[/C][C]0.210737[/C][/ROW]
[ROW][C]46[/C][C]-0.080805[/C][C]-0.6614[/C][C]0.255306[/C][/ROW]
[ROW][C]47[/C][C]-0.079085[/C][C]-0.6473[/C][C]0.259812[/C][/ROW]
[ROW][C]48[/C][C]-0.054298[/C][C]-0.4444[/C][C]0.329076[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75206&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75206&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
10.3512422.8750.002705
20.0100310.08210.467402
30.0582530.47680.317522
4-0.183236-1.49980.069176
5-0.101873-0.83390.20366
6-0.207901-1.70170.04672
70.007050.05770.477078
8-0.03083-0.25240.400771
90.1318931.07960.142097
10-0.07204-0.58970.278697
110.2302921.8850.031882
120.6208815.08212e-06
13-0.276223-2.2610.013506
14-0.164888-1.34970.090832
15-0.080364-0.65780.256458
16-0.039429-0.32270.373948
170.0438580.3590.360364
180.0100850.08260.467227
19-0.085573-0.70040.243036
200.0094690.07750.469226
21-0.149917-1.22710.112036
220.0342530.28040.390029
230.0386610.31650.37632
240.0078890.06460.474353
25-0.056513-0.46260.322583
260.0586740.48030.316301
27-0.085538-0.70020.243127
280.1461861.19660.117842
290.0006290.00510.497953
30-0.059192-0.48450.314804
310.073040.59790.275974
32-0.011085-0.09070.463986
330.1340781.09750.138181
34-0.01434-0.11740.453455
35-0.165109-1.35150.090545
36-0.019317-0.15810.437419
370.0318280.26050.397628
380.0147220.12050.452222
390.0741220.60670.273046
40-0.163217-1.3360.093037
41-0.083179-0.68080.249158
42-0.005228-0.04280.482998
43-0.049026-0.40130.344739
44-0.047104-0.38560.350521
45-0.098815-0.80880.210737
46-0.080805-0.66140.255306
47-0.079085-0.64730.259812
48-0.054298-0.44440.329076



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')