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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 16 Dec 2016 16:10:22 +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/2016/Dec/16/t14819046890kgbmjubie6o8z4.htm/, Retrieved Thu, 02 May 2024 18:32:54 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 02 May 2024 18:32:54 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90,89
91,1
91,35
91,52
91,45
91,88
91,9
91,92
92
92
92,2
92,34
92,29
92,37
92,58
92,73
92,78
92,82
92,82
92,99
93,18
93,88
94,29
94,04
93,6
95,99
98,1
98,7
99,31
99,58
99,68
102,38
102,69
103,01
103,35
103,61
102,59
102,75
102,88
102,85
103,16
103,17
103,04
103,09
103,12
103,68
103,75
103,81
104,23
104,58
104,76
104,83
104,88
105,7
105,34
105,57
105,66
105,7
105,76
105,76

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

As an alternative you can also use a QR Code:  
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' @ jenkins.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1905041.46330.074348
2-0.028414-0.21820.413994
30.0800690.6150.270454
40.0963560.74010.23108
50.1482871.1390.12965
60.3136722.40940.00956
7-0.080552-0.61870.269237
8-0.106824-0.82050.207608
9-0.06531-0.50170.308887
10-0.119407-0.91720.18139
11-0.207732-1.59560.057959
12-0.026111-0.20060.420866
13-0.103369-0.7940.215192
14-0.065579-0.50370.308166
15-0.084773-0.65120.258738
16-0.104641-0.80380.21238
17-0.100451-0.77160.221721
18-0.023472-0.18030.42877
19-0.065533-0.50340.30829
200.0175080.13450.44674
21-0.07696-0.59110.278343
220.0082970.06370.474701
23-0.046505-0.35720.361103
24-0.008566-0.06580.473881
25-0.076223-0.58550.280228
26-0.031459-0.24160.404949
27-0.006167-0.04740.48119
28-0.009167-0.07040.472052
29-0.067395-0.51770.303313
30-0.000704-0.00540.497853
31-0.030126-0.23140.408901
32-0.000407-0.00310.498759
33-0.033674-0.25870.398401
34-0.001742-0.01340.494684
350.0309080.23740.406582
360.0070390.05410.478532
370.0013430.01030.495902
380.0129910.09980.460428
390.0142190.10920.4567
400.0183010.14060.444344
410.0021160.01630.493543
420.0136720.1050.45836
430.0180560.13870.445084
440.00370.02840.488712
450.0116610.08960.464467
460.0078590.06040.476034
470.0096860.07440.470472
480.0232540.17860.429424

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.190504 & 1.4633 & 0.074348 \tabularnewline
2 & -0.028414 & -0.2182 & 0.413994 \tabularnewline
3 & 0.080069 & 0.615 & 0.270454 \tabularnewline
4 & 0.096356 & 0.7401 & 0.23108 \tabularnewline
5 & 0.148287 & 1.139 & 0.12965 \tabularnewline
6 & 0.313672 & 2.4094 & 0.00956 \tabularnewline
7 & -0.080552 & -0.6187 & 0.269237 \tabularnewline
8 & -0.106824 & -0.8205 & 0.207608 \tabularnewline
9 & -0.06531 & -0.5017 & 0.308887 \tabularnewline
10 & -0.119407 & -0.9172 & 0.18139 \tabularnewline
11 & -0.207732 & -1.5956 & 0.057959 \tabularnewline
12 & -0.026111 & -0.2006 & 0.420866 \tabularnewline
13 & -0.103369 & -0.794 & 0.215192 \tabularnewline
14 & -0.065579 & -0.5037 & 0.308166 \tabularnewline
15 & -0.084773 & -0.6512 & 0.258738 \tabularnewline
16 & -0.104641 & -0.8038 & 0.21238 \tabularnewline
17 & -0.100451 & -0.7716 & 0.221721 \tabularnewline
18 & -0.023472 & -0.1803 & 0.42877 \tabularnewline
19 & -0.065533 & -0.5034 & 0.30829 \tabularnewline
20 & 0.017508 & 0.1345 & 0.44674 \tabularnewline
21 & -0.07696 & -0.5911 & 0.278343 \tabularnewline
22 & 0.008297 & 0.0637 & 0.474701 \tabularnewline
23 & -0.046505 & -0.3572 & 0.361103 \tabularnewline
24 & -0.008566 & -0.0658 & 0.473881 \tabularnewline
25 & -0.076223 & -0.5855 & 0.280228 \tabularnewline
26 & -0.031459 & -0.2416 & 0.404949 \tabularnewline
27 & -0.006167 & -0.0474 & 0.48119 \tabularnewline
28 & -0.009167 & -0.0704 & 0.472052 \tabularnewline
29 & -0.067395 & -0.5177 & 0.303313 \tabularnewline
30 & -0.000704 & -0.0054 & 0.497853 \tabularnewline
31 & -0.030126 & -0.2314 & 0.408901 \tabularnewline
32 & -0.000407 & -0.0031 & 0.498759 \tabularnewline
33 & -0.033674 & -0.2587 & 0.398401 \tabularnewline
34 & -0.001742 & -0.0134 & 0.494684 \tabularnewline
35 & 0.030908 & 0.2374 & 0.406582 \tabularnewline
36 & 0.007039 & 0.0541 & 0.478532 \tabularnewline
37 & 0.001343 & 0.0103 & 0.495902 \tabularnewline
38 & 0.012991 & 0.0998 & 0.460428 \tabularnewline
39 & 0.014219 & 0.1092 & 0.4567 \tabularnewline
40 & 0.018301 & 0.1406 & 0.444344 \tabularnewline
41 & 0.002116 & 0.0163 & 0.493543 \tabularnewline
42 & 0.013672 & 0.105 & 0.45836 \tabularnewline
43 & 0.018056 & 0.1387 & 0.445084 \tabularnewline
44 & 0.0037 & 0.0284 & 0.488712 \tabularnewline
45 & 0.011661 & 0.0896 & 0.464467 \tabularnewline
46 & 0.007859 & 0.0604 & 0.476034 \tabularnewline
47 & 0.009686 & 0.0744 & 0.470472 \tabularnewline
48 & 0.023254 & 0.1786 & 0.429424 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.190504[/C][C]1.4633[/C][C]0.074348[/C][/ROW]
[ROW][C]2[/C][C]-0.028414[/C][C]-0.2182[/C][C]0.413994[/C][/ROW]
[ROW][C]3[/C][C]0.080069[/C][C]0.615[/C][C]0.270454[/C][/ROW]
[ROW][C]4[/C][C]0.096356[/C][C]0.7401[/C][C]0.23108[/C][/ROW]
[ROW][C]5[/C][C]0.148287[/C][C]1.139[/C][C]0.12965[/C][/ROW]
[ROW][C]6[/C][C]0.313672[/C][C]2.4094[/C][C]0.00956[/C][/ROW]
[ROW][C]7[/C][C]-0.080552[/C][C]-0.6187[/C][C]0.269237[/C][/ROW]
[ROW][C]8[/C][C]-0.106824[/C][C]-0.8205[/C][C]0.207608[/C][/ROW]
[ROW][C]9[/C][C]-0.06531[/C][C]-0.5017[/C][C]0.308887[/C][/ROW]
[ROW][C]10[/C][C]-0.119407[/C][C]-0.9172[/C][C]0.18139[/C][/ROW]
[ROW][C]11[/C][C]-0.207732[/C][C]-1.5956[/C][C]0.057959[/C][/ROW]
[ROW][C]12[/C][C]-0.026111[/C][C]-0.2006[/C][C]0.420866[/C][/ROW]
[ROW][C]13[/C][C]-0.103369[/C][C]-0.794[/C][C]0.215192[/C][/ROW]
[ROW][C]14[/C][C]-0.065579[/C][C]-0.5037[/C][C]0.308166[/C][/ROW]
[ROW][C]15[/C][C]-0.084773[/C][C]-0.6512[/C][C]0.258738[/C][/ROW]
[ROW][C]16[/C][C]-0.104641[/C][C]-0.8038[/C][C]0.21238[/C][/ROW]
[ROW][C]17[/C][C]-0.100451[/C][C]-0.7716[/C][C]0.221721[/C][/ROW]
[ROW][C]18[/C][C]-0.023472[/C][C]-0.1803[/C][C]0.42877[/C][/ROW]
[ROW][C]19[/C][C]-0.065533[/C][C]-0.5034[/C][C]0.30829[/C][/ROW]
[ROW][C]20[/C][C]0.017508[/C][C]0.1345[/C][C]0.44674[/C][/ROW]
[ROW][C]21[/C][C]-0.07696[/C][C]-0.5911[/C][C]0.278343[/C][/ROW]
[ROW][C]22[/C][C]0.008297[/C][C]0.0637[/C][C]0.474701[/C][/ROW]
[ROW][C]23[/C][C]-0.046505[/C][C]-0.3572[/C][C]0.361103[/C][/ROW]
[ROW][C]24[/C][C]-0.008566[/C][C]-0.0658[/C][C]0.473881[/C][/ROW]
[ROW][C]25[/C][C]-0.076223[/C][C]-0.5855[/C][C]0.280228[/C][/ROW]
[ROW][C]26[/C][C]-0.031459[/C][C]-0.2416[/C][C]0.404949[/C][/ROW]
[ROW][C]27[/C][C]-0.006167[/C][C]-0.0474[/C][C]0.48119[/C][/ROW]
[ROW][C]28[/C][C]-0.009167[/C][C]-0.0704[/C][C]0.472052[/C][/ROW]
[ROW][C]29[/C][C]-0.067395[/C][C]-0.5177[/C][C]0.303313[/C][/ROW]
[ROW][C]30[/C][C]-0.000704[/C][C]-0.0054[/C][C]0.497853[/C][/ROW]
[ROW][C]31[/C][C]-0.030126[/C][C]-0.2314[/C][C]0.408901[/C][/ROW]
[ROW][C]32[/C][C]-0.000407[/C][C]-0.0031[/C][C]0.498759[/C][/ROW]
[ROW][C]33[/C][C]-0.033674[/C][C]-0.2587[/C][C]0.398401[/C][/ROW]
[ROW][C]34[/C][C]-0.001742[/C][C]-0.0134[/C][C]0.494684[/C][/ROW]
[ROW][C]35[/C][C]0.030908[/C][C]0.2374[/C][C]0.406582[/C][/ROW]
[ROW][C]36[/C][C]0.007039[/C][C]0.0541[/C][C]0.478532[/C][/ROW]
[ROW][C]37[/C][C]0.001343[/C][C]0.0103[/C][C]0.495902[/C][/ROW]
[ROW][C]38[/C][C]0.012991[/C][C]0.0998[/C][C]0.460428[/C][/ROW]
[ROW][C]39[/C][C]0.014219[/C][C]0.1092[/C][C]0.4567[/C][/ROW]
[ROW][C]40[/C][C]0.018301[/C][C]0.1406[/C][C]0.444344[/C][/ROW]
[ROW][C]41[/C][C]0.002116[/C][C]0.0163[/C][C]0.493543[/C][/ROW]
[ROW][C]42[/C][C]0.013672[/C][C]0.105[/C][C]0.45836[/C][/ROW]
[ROW][C]43[/C][C]0.018056[/C][C]0.1387[/C][C]0.445084[/C][/ROW]
[ROW][C]44[/C][C]0.0037[/C][C]0.0284[/C][C]0.488712[/C][/ROW]
[ROW][C]45[/C][C]0.011661[/C][C]0.0896[/C][C]0.464467[/C][/ROW]
[ROW][C]46[/C][C]0.007859[/C][C]0.0604[/C][C]0.476034[/C][/ROW]
[ROW][C]47[/C][C]0.009686[/C][C]0.0744[/C][C]0.470472[/C][/ROW]
[ROW][C]48[/C][C]0.023254[/C][C]0.1786[/C][C]0.429424[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1905041.46330.074348
2-0.028414-0.21820.413994
30.0800690.6150.270454
40.0963560.74010.23108
50.1482871.1390.12965
60.3136722.40940.00956
7-0.080552-0.61870.269237
8-0.106824-0.82050.207608
9-0.06531-0.50170.308887
10-0.119407-0.91720.18139
11-0.207732-1.59560.057959
12-0.026111-0.20060.420866
13-0.103369-0.7940.215192
14-0.065579-0.50370.308166
15-0.084773-0.65120.258738
16-0.104641-0.80380.21238
17-0.100451-0.77160.221721
18-0.023472-0.18030.42877
19-0.065533-0.50340.30829
200.0175080.13450.44674
21-0.07696-0.59110.278343
220.0082970.06370.474701
23-0.046505-0.35720.361103
24-0.008566-0.06580.473881
25-0.076223-0.58550.280228
26-0.031459-0.24160.404949
27-0.006167-0.04740.48119
28-0.009167-0.07040.472052
29-0.067395-0.51770.303313
30-0.000704-0.00540.497853
31-0.030126-0.23140.408901
32-0.000407-0.00310.498759
33-0.033674-0.25870.398401
34-0.001742-0.01340.494684
350.0309080.23740.406582
360.0070390.05410.478532
370.0013430.01030.495902
380.0129910.09980.460428
390.0142190.10920.4567
400.0183010.14060.444344
410.0021160.01630.493543
420.0136720.1050.45836
430.0180560.13870.445084
440.00370.02840.488712
450.0116610.08960.464467
460.0078590.06040.476034
470.0096860.07440.470472
480.0232540.17860.429424






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1905041.46330.074348
2-0.067142-0.51570.303985
30.1028140.78970.216425
40.060510.46480.321897
50.1335331.02570.154614
60.2811552.15960.01744
7-0.207984-1.59760.057743
8-0.046042-0.35370.362429
9-0.141764-1.08890.140311
10-0.16537-1.27020.104494
11-0.2554-1.96180.027257
12-0.024133-0.18540.426788
130.0035990.02760.489019
140.0880450.67630.250752
150.0514590.39530.347037
160.065320.50170.308862
170.0438520.33680.368718
18-0.086128-0.66160.255413
19-0.11518-0.88470.189951
20-0.05875-0.45130.326727
21-0.181285-1.39250.084502
220.0073280.05630.477651
23-0.072162-0.55430.290739
240.0683330.52490.300818
25-0.036712-0.2820.389469
26-0.015037-0.11550.454221
270.051220.39340.347711
28-0.088742-0.68160.249066
29-0.072974-0.56050.288622
30-0.053899-0.4140.340186
31-0.017895-0.13750.445571
32-0.041504-0.31880.375504
33-0.05387-0.41380.340266
340.0071440.05490.478212
350.0612670.47060.319829
36-0.0749-0.57530.283633
37-0.009088-0.06980.472292
38-0.026691-0.2050.419134
39-0.020363-0.15640.43812
40-0.080078-0.61510.270431
41-0.053509-0.4110.341278
42-0.017401-0.13370.447063
430.0020170.01550.493845
44-0.065022-0.49940.309662
450.0362280.27830.390887
460.0034150.02620.48958
47-0.011971-0.0920.463523
480.0021720.01670.493374

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.190504 & 1.4633 & 0.074348 \tabularnewline
2 & -0.067142 & -0.5157 & 0.303985 \tabularnewline
3 & 0.102814 & 0.7897 & 0.216425 \tabularnewline
4 & 0.06051 & 0.4648 & 0.321897 \tabularnewline
5 & 0.133533 & 1.0257 & 0.154614 \tabularnewline
6 & 0.281155 & 2.1596 & 0.01744 \tabularnewline
7 & -0.207984 & -1.5976 & 0.057743 \tabularnewline
8 & -0.046042 & -0.3537 & 0.362429 \tabularnewline
9 & -0.141764 & -1.0889 & 0.140311 \tabularnewline
10 & -0.16537 & -1.2702 & 0.104494 \tabularnewline
11 & -0.2554 & -1.9618 & 0.027257 \tabularnewline
12 & -0.024133 & -0.1854 & 0.426788 \tabularnewline
13 & 0.003599 & 0.0276 & 0.489019 \tabularnewline
14 & 0.088045 & 0.6763 & 0.250752 \tabularnewline
15 & 0.051459 & 0.3953 & 0.347037 \tabularnewline
16 & 0.06532 & 0.5017 & 0.308862 \tabularnewline
17 & 0.043852 & 0.3368 & 0.368718 \tabularnewline
18 & -0.086128 & -0.6616 & 0.255413 \tabularnewline
19 & -0.11518 & -0.8847 & 0.189951 \tabularnewline
20 & -0.05875 & -0.4513 & 0.326727 \tabularnewline
21 & -0.181285 & -1.3925 & 0.084502 \tabularnewline
22 & 0.007328 & 0.0563 & 0.477651 \tabularnewline
23 & -0.072162 & -0.5543 & 0.290739 \tabularnewline
24 & 0.068333 & 0.5249 & 0.300818 \tabularnewline
25 & -0.036712 & -0.282 & 0.389469 \tabularnewline
26 & -0.015037 & -0.1155 & 0.454221 \tabularnewline
27 & 0.05122 & 0.3934 & 0.347711 \tabularnewline
28 & -0.088742 & -0.6816 & 0.249066 \tabularnewline
29 & -0.072974 & -0.5605 & 0.288622 \tabularnewline
30 & -0.053899 & -0.414 & 0.340186 \tabularnewline
31 & -0.017895 & -0.1375 & 0.445571 \tabularnewline
32 & -0.041504 & -0.3188 & 0.375504 \tabularnewline
33 & -0.05387 & -0.4138 & 0.340266 \tabularnewline
34 & 0.007144 & 0.0549 & 0.478212 \tabularnewline
35 & 0.061267 & 0.4706 & 0.319829 \tabularnewline
36 & -0.0749 & -0.5753 & 0.283633 \tabularnewline
37 & -0.009088 & -0.0698 & 0.472292 \tabularnewline
38 & -0.026691 & -0.205 & 0.419134 \tabularnewline
39 & -0.020363 & -0.1564 & 0.43812 \tabularnewline
40 & -0.080078 & -0.6151 & 0.270431 \tabularnewline
41 & -0.053509 & -0.411 & 0.341278 \tabularnewline
42 & -0.017401 & -0.1337 & 0.447063 \tabularnewline
43 & 0.002017 & 0.0155 & 0.493845 \tabularnewline
44 & -0.065022 & -0.4994 & 0.309662 \tabularnewline
45 & 0.036228 & 0.2783 & 0.390887 \tabularnewline
46 & 0.003415 & 0.0262 & 0.48958 \tabularnewline
47 & -0.011971 & -0.092 & 0.463523 \tabularnewline
48 & 0.002172 & 0.0167 & 0.493374 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.190504[/C][C]1.4633[/C][C]0.074348[/C][/ROW]
[ROW][C]2[/C][C]-0.067142[/C][C]-0.5157[/C][C]0.303985[/C][/ROW]
[ROW][C]3[/C][C]0.102814[/C][C]0.7897[/C][C]0.216425[/C][/ROW]
[ROW][C]4[/C][C]0.06051[/C][C]0.4648[/C][C]0.321897[/C][/ROW]
[ROW][C]5[/C][C]0.133533[/C][C]1.0257[/C][C]0.154614[/C][/ROW]
[ROW][C]6[/C][C]0.281155[/C][C]2.1596[/C][C]0.01744[/C][/ROW]
[ROW][C]7[/C][C]-0.207984[/C][C]-1.5976[/C][C]0.057743[/C][/ROW]
[ROW][C]8[/C][C]-0.046042[/C][C]-0.3537[/C][C]0.362429[/C][/ROW]
[ROW][C]9[/C][C]-0.141764[/C][C]-1.0889[/C][C]0.140311[/C][/ROW]
[ROW][C]10[/C][C]-0.16537[/C][C]-1.2702[/C][C]0.104494[/C][/ROW]
[ROW][C]11[/C][C]-0.2554[/C][C]-1.9618[/C][C]0.027257[/C][/ROW]
[ROW][C]12[/C][C]-0.024133[/C][C]-0.1854[/C][C]0.426788[/C][/ROW]
[ROW][C]13[/C][C]0.003599[/C][C]0.0276[/C][C]0.489019[/C][/ROW]
[ROW][C]14[/C][C]0.088045[/C][C]0.6763[/C][C]0.250752[/C][/ROW]
[ROW][C]15[/C][C]0.051459[/C][C]0.3953[/C][C]0.347037[/C][/ROW]
[ROW][C]16[/C][C]0.06532[/C][C]0.5017[/C][C]0.308862[/C][/ROW]
[ROW][C]17[/C][C]0.043852[/C][C]0.3368[/C][C]0.368718[/C][/ROW]
[ROW][C]18[/C][C]-0.086128[/C][C]-0.6616[/C][C]0.255413[/C][/ROW]
[ROW][C]19[/C][C]-0.11518[/C][C]-0.8847[/C][C]0.189951[/C][/ROW]
[ROW][C]20[/C][C]-0.05875[/C][C]-0.4513[/C][C]0.326727[/C][/ROW]
[ROW][C]21[/C][C]-0.181285[/C][C]-1.3925[/C][C]0.084502[/C][/ROW]
[ROW][C]22[/C][C]0.007328[/C][C]0.0563[/C][C]0.477651[/C][/ROW]
[ROW][C]23[/C][C]-0.072162[/C][C]-0.5543[/C][C]0.290739[/C][/ROW]
[ROW][C]24[/C][C]0.068333[/C][C]0.5249[/C][C]0.300818[/C][/ROW]
[ROW][C]25[/C][C]-0.036712[/C][C]-0.282[/C][C]0.389469[/C][/ROW]
[ROW][C]26[/C][C]-0.015037[/C][C]-0.1155[/C][C]0.454221[/C][/ROW]
[ROW][C]27[/C][C]0.05122[/C][C]0.3934[/C][C]0.347711[/C][/ROW]
[ROW][C]28[/C][C]-0.088742[/C][C]-0.6816[/C][C]0.249066[/C][/ROW]
[ROW][C]29[/C][C]-0.072974[/C][C]-0.5605[/C][C]0.288622[/C][/ROW]
[ROW][C]30[/C][C]-0.053899[/C][C]-0.414[/C][C]0.340186[/C][/ROW]
[ROW][C]31[/C][C]-0.017895[/C][C]-0.1375[/C][C]0.445571[/C][/ROW]
[ROW][C]32[/C][C]-0.041504[/C][C]-0.3188[/C][C]0.375504[/C][/ROW]
[ROW][C]33[/C][C]-0.05387[/C][C]-0.4138[/C][C]0.340266[/C][/ROW]
[ROW][C]34[/C][C]0.007144[/C][C]0.0549[/C][C]0.478212[/C][/ROW]
[ROW][C]35[/C][C]0.061267[/C][C]0.4706[/C][C]0.319829[/C][/ROW]
[ROW][C]36[/C][C]-0.0749[/C][C]-0.5753[/C][C]0.283633[/C][/ROW]
[ROW][C]37[/C][C]-0.009088[/C][C]-0.0698[/C][C]0.472292[/C][/ROW]
[ROW][C]38[/C][C]-0.026691[/C][C]-0.205[/C][C]0.419134[/C][/ROW]
[ROW][C]39[/C][C]-0.020363[/C][C]-0.1564[/C][C]0.43812[/C][/ROW]
[ROW][C]40[/C][C]-0.080078[/C][C]-0.6151[/C][C]0.270431[/C][/ROW]
[ROW][C]41[/C][C]-0.053509[/C][C]-0.411[/C][C]0.341278[/C][/ROW]
[ROW][C]42[/C][C]-0.017401[/C][C]-0.1337[/C][C]0.447063[/C][/ROW]
[ROW][C]43[/C][C]0.002017[/C][C]0.0155[/C][C]0.493845[/C][/ROW]
[ROW][C]44[/C][C]-0.065022[/C][C]-0.4994[/C][C]0.309662[/C][/ROW]
[ROW][C]45[/C][C]0.036228[/C][C]0.2783[/C][C]0.390887[/C][/ROW]
[ROW][C]46[/C][C]0.003415[/C][C]0.0262[/C][C]0.48958[/C][/ROW]
[ROW][C]47[/C][C]-0.011971[/C][C]-0.092[/C][C]0.463523[/C][/ROW]
[ROW][C]48[/C][C]0.002172[/C][C]0.0167[/C][C]0.493374[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1905041.46330.074348
2-0.067142-0.51570.303985
30.1028140.78970.216425
40.060510.46480.321897
50.1335331.02570.154614
60.2811552.15960.01744
7-0.207984-1.59760.057743
8-0.046042-0.35370.362429
9-0.141764-1.08890.140311
10-0.16537-1.27020.104494
11-0.2554-1.96180.027257
12-0.024133-0.18540.426788
130.0035990.02760.489019
140.0880450.67630.250752
150.0514590.39530.347037
160.065320.50170.308862
170.0438520.33680.368718
18-0.086128-0.66160.255413
19-0.11518-0.88470.189951
20-0.05875-0.45130.326727
21-0.181285-1.39250.084502
220.0073280.05630.477651
23-0.072162-0.55430.290739
240.0683330.52490.300818
25-0.036712-0.2820.389469
26-0.015037-0.11550.454221
270.051220.39340.347711
28-0.088742-0.68160.249066
29-0.072974-0.56050.288622
30-0.053899-0.4140.340186
31-0.017895-0.13750.445571
32-0.041504-0.31880.375504
33-0.05387-0.41380.340266
340.0071440.05490.478212
350.0612670.47060.319829
36-0.0749-0.57530.283633
37-0.009088-0.06980.472292
38-0.026691-0.2050.419134
39-0.020363-0.15640.43812
40-0.080078-0.61510.270431
41-0.053509-0.4110.341278
42-0.017401-0.13370.447063
430.0020170.01550.493845
44-0.065022-0.49940.309662
450.0362280.27830.390887
460.0034150.02620.48958
47-0.011971-0.0920.463523
480.0021720.01670.493374


Figures (Output of Computation)

Input Parameters & R Code

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 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')