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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 computationTue, 27 Nov 2007 03:03:15 -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/27/t11961572624ftfpv8uu90asak.htm/, Retrieved Sun, 05 May 2024 15:00:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6787, Retrieved Sun, 05 May 2024 15:00:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVerbeterd
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opdracht 3 Q2 Kolom2] [2007-11-27 10:03:15] [00ef4a509c2a49a63e98610ffa741e39] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96
75
96
102
130
127
111
108
108
122
113
111
97
124
99
118
111
121
102
102
115
123
127
117
106
88
95
105
117
128
136
128
124
119
128
104
91
99
92
117
103
117
125
94
126
105
107
87
95
63
91
90
102
104
121
107
94
96
98
75
97
81
89
85
95
97
103
99
82
90
82
94

Tables (Output of Computation)





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=6787&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=6787&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6787&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 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
10.1266280.98090.165301
20.287892.230.014751
3-0.060091-0.46550.678357
4-0.082331-0.63770.736962
5-0.154715-1.19840.882267
60.0127050.09840.460965
70.225881.74970.042645
80.190491.47550.07265
90.2172371.68270.048814
100.10090.78160.218771
110.1018390.78880.216655
12-0.399753-3.09650.998512
13-0.019745-0.15290.560522
14-0.136999-1.06120.853572
15-0.020428-0.15820.5626
160.13591.05270.148355
170.1637831.26870.104732
180.0859280.66560.25411
19-0.067538-0.52310.6986
20-0.087814-0.68020.750505
21-0.046815-0.36260.640922
22-0.046788-0.36240.640842
23-0.060956-0.47220.680739
240.1873951.45160.075917
25-0.078224-0.60590.726573
26-0.008385-0.0650.525786
27-0.086889-0.6730.748246
28-0.157802-1.22230.886818
29-0.076363-0.59150.721798
30-0.087539-0.67810.749834
310.0882150.68330.248519
32-0.015531-0.12030.547677
33-0.02476-0.19180.575724
34-0.119977-0.92930.821781
35-0.043561-0.33740.631511
36-0.296225-2.29450.987363
37-0.030221-0.23410.592146
38-0.114195-0.88460.810035
390.0034940.02710.489248
400.0471780.36540.358034
410.0657650.50940.306167
420.0412370.31940.375258
43-0.08387-0.64970.740803
44-0.090286-0.69940.756484
45-0.032491-0.25170.598922
46-0.083586-0.64750.740097
470.0356920.27650.39157

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.126628 & 0.9809 & 0.165301 \tabularnewline
2 & 0.28789 & 2.23 & 0.014751 \tabularnewline
3 & -0.060091 & -0.4655 & 0.678357 \tabularnewline
4 & -0.082331 & -0.6377 & 0.736962 \tabularnewline
5 & -0.154715 & -1.1984 & 0.882267 \tabularnewline
6 & 0.012705 & 0.0984 & 0.460965 \tabularnewline
7 & 0.22588 & 1.7497 & 0.042645 \tabularnewline
8 & 0.19049 & 1.4755 & 0.07265 \tabularnewline
9 & 0.217237 & 1.6827 & 0.048814 \tabularnewline
10 & 0.1009 & 0.7816 & 0.218771 \tabularnewline
11 & 0.101839 & 0.7888 & 0.216655 \tabularnewline
12 & -0.399753 & -3.0965 & 0.998512 \tabularnewline
13 & -0.019745 & -0.1529 & 0.560522 \tabularnewline
14 & -0.136999 & -1.0612 & 0.853572 \tabularnewline
15 & -0.020428 & -0.1582 & 0.5626 \tabularnewline
16 & 0.1359 & 1.0527 & 0.148355 \tabularnewline
17 & 0.163783 & 1.2687 & 0.104732 \tabularnewline
18 & 0.085928 & 0.6656 & 0.25411 \tabularnewline
19 & -0.067538 & -0.5231 & 0.6986 \tabularnewline
20 & -0.087814 & -0.6802 & 0.750505 \tabularnewline
21 & -0.046815 & -0.3626 & 0.640922 \tabularnewline
22 & -0.046788 & -0.3624 & 0.640842 \tabularnewline
23 & -0.060956 & -0.4722 & 0.680739 \tabularnewline
24 & 0.187395 & 1.4516 & 0.075917 \tabularnewline
25 & -0.078224 & -0.6059 & 0.726573 \tabularnewline
26 & -0.008385 & -0.065 & 0.525786 \tabularnewline
27 & -0.086889 & -0.673 & 0.748246 \tabularnewline
28 & -0.157802 & -1.2223 & 0.886818 \tabularnewline
29 & -0.076363 & -0.5915 & 0.721798 \tabularnewline
30 & -0.087539 & -0.6781 & 0.749834 \tabularnewline
31 & 0.088215 & 0.6833 & 0.248519 \tabularnewline
32 & -0.015531 & -0.1203 & 0.547677 \tabularnewline
33 & -0.02476 & -0.1918 & 0.575724 \tabularnewline
34 & -0.119977 & -0.9293 & 0.821781 \tabularnewline
35 & -0.043561 & -0.3374 & 0.631511 \tabularnewline
36 & -0.296225 & -2.2945 & 0.987363 \tabularnewline
37 & -0.030221 & -0.2341 & 0.592146 \tabularnewline
38 & -0.114195 & -0.8846 & 0.810035 \tabularnewline
39 & 0.003494 & 0.0271 & 0.489248 \tabularnewline
40 & 0.047178 & 0.3654 & 0.358034 \tabularnewline
41 & 0.065765 & 0.5094 & 0.306167 \tabularnewline
42 & 0.041237 & 0.3194 & 0.375258 \tabularnewline
43 & -0.08387 & -0.6497 & 0.740803 \tabularnewline
44 & -0.090286 & -0.6994 & 0.756484 \tabularnewline
45 & -0.032491 & -0.2517 & 0.598922 \tabularnewline
46 & -0.083586 & -0.6475 & 0.740097 \tabularnewline
47 & 0.035692 & 0.2765 & 0.39157 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6787&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]0.126628[/C][C]0.9809[/C][C]0.165301[/C][/ROW]
[ROW][C]2[/C][C]0.28789[/C][C]2.23[/C][C]0.014751[/C][/ROW]
[ROW][C]3[/C][C]-0.060091[/C][C]-0.4655[/C][C]0.678357[/C][/ROW]
[ROW][C]4[/C][C]-0.082331[/C][C]-0.6377[/C][C]0.736962[/C][/ROW]
[ROW][C]5[/C][C]-0.154715[/C][C]-1.1984[/C][C]0.882267[/C][/ROW]
[ROW][C]6[/C][C]0.012705[/C][C]0.0984[/C][C]0.460965[/C][/ROW]
[ROW][C]7[/C][C]0.22588[/C][C]1.7497[/C][C]0.042645[/C][/ROW]
[ROW][C]8[/C][C]0.19049[/C][C]1.4755[/C][C]0.07265[/C][/ROW]
[ROW][C]9[/C][C]0.217237[/C][C]1.6827[/C][C]0.048814[/C][/ROW]
[ROW][C]10[/C][C]0.1009[/C][C]0.7816[/C][C]0.218771[/C][/ROW]
[ROW][C]11[/C][C]0.101839[/C][C]0.7888[/C][C]0.216655[/C][/ROW]
[ROW][C]12[/C][C]-0.399753[/C][C]-3.0965[/C][C]0.998512[/C][/ROW]
[ROW][C]13[/C][C]-0.019745[/C][C]-0.1529[/C][C]0.560522[/C][/ROW]
[ROW][C]14[/C][C]-0.136999[/C][C]-1.0612[/C][C]0.853572[/C][/ROW]
[ROW][C]15[/C][C]-0.020428[/C][C]-0.1582[/C][C]0.5626[/C][/ROW]
[ROW][C]16[/C][C]0.1359[/C][C]1.0527[/C][C]0.148355[/C][/ROW]
[ROW][C]17[/C][C]0.163783[/C][C]1.2687[/C][C]0.104732[/C][/ROW]
[ROW][C]18[/C][C]0.085928[/C][C]0.6656[/C][C]0.25411[/C][/ROW]
[ROW][C]19[/C][C]-0.067538[/C][C]-0.5231[/C][C]0.6986[/C][/ROW]
[ROW][C]20[/C][C]-0.087814[/C][C]-0.6802[/C][C]0.750505[/C][/ROW]
[ROW][C]21[/C][C]-0.046815[/C][C]-0.3626[/C][C]0.640922[/C][/ROW]
[ROW][C]22[/C][C]-0.046788[/C][C]-0.3624[/C][C]0.640842[/C][/ROW]
[ROW][C]23[/C][C]-0.060956[/C][C]-0.4722[/C][C]0.680739[/C][/ROW]
[ROW][C]24[/C][C]0.187395[/C][C]1.4516[/C][C]0.075917[/C][/ROW]
[ROW][C]25[/C][C]-0.078224[/C][C]-0.6059[/C][C]0.726573[/C][/ROW]
[ROW][C]26[/C][C]-0.008385[/C][C]-0.065[/C][C]0.525786[/C][/ROW]
[ROW][C]27[/C][C]-0.086889[/C][C]-0.673[/C][C]0.748246[/C][/ROW]
[ROW][C]28[/C][C]-0.157802[/C][C]-1.2223[/C][C]0.886818[/C][/ROW]
[ROW][C]29[/C][C]-0.076363[/C][C]-0.5915[/C][C]0.721798[/C][/ROW]
[ROW][C]30[/C][C]-0.087539[/C][C]-0.6781[/C][C]0.749834[/C][/ROW]
[ROW][C]31[/C][C]0.088215[/C][C]0.6833[/C][C]0.248519[/C][/ROW]
[ROW][C]32[/C][C]-0.015531[/C][C]-0.1203[/C][C]0.547677[/C][/ROW]
[ROW][C]33[/C][C]-0.02476[/C][C]-0.1918[/C][C]0.575724[/C][/ROW]
[ROW][C]34[/C][C]-0.119977[/C][C]-0.9293[/C][C]0.821781[/C][/ROW]
[ROW][C]35[/C][C]-0.043561[/C][C]-0.3374[/C][C]0.631511[/C][/ROW]
[ROW][C]36[/C][C]-0.296225[/C][C]-2.2945[/C][C]0.987363[/C][/ROW]
[ROW][C]37[/C][C]-0.030221[/C][C]-0.2341[/C][C]0.592146[/C][/ROW]
[ROW][C]38[/C][C]-0.114195[/C][C]-0.8846[/C][C]0.810035[/C][/ROW]
[ROW][C]39[/C][C]0.003494[/C][C]0.0271[/C][C]0.489248[/C][/ROW]
[ROW][C]40[/C][C]0.047178[/C][C]0.3654[/C][C]0.358034[/C][/ROW]
[ROW][C]41[/C][C]0.065765[/C][C]0.5094[/C][C]0.306167[/C][/ROW]
[ROW][C]42[/C][C]0.041237[/C][C]0.3194[/C][C]0.375258[/C][/ROW]
[ROW][C]43[/C][C]-0.08387[/C][C]-0.6497[/C][C]0.740803[/C][/ROW]
[ROW][C]44[/C][C]-0.090286[/C][C]-0.6994[/C][C]0.756484[/C][/ROW]
[ROW][C]45[/C][C]-0.032491[/C][C]-0.2517[/C][C]0.598922[/C][/ROW]
[ROW][C]46[/C][C]-0.083586[/C][C]-0.6475[/C][C]0.740097[/C][/ROW]
[ROW][C]47[/C][C]0.035692[/C][C]0.2765[/C][C]0.39157[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6787&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6787&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
017.7460
10.1266280.98090.165301
20.287892.230.014751
3-0.060091-0.46550.678357
4-0.082331-0.63770.736962
5-0.154715-1.19840.882267
60.0127050.09840.460965
70.225881.74970.042645
80.190491.47550.07265
90.2172371.68270.048814
100.10090.78160.218771
110.1018390.78880.216655
12-0.399753-3.09650.998512
13-0.019745-0.15290.560522
14-0.136999-1.06120.853572
15-0.020428-0.15820.5626
160.13591.05270.148355
170.1637831.26870.104732
180.0859280.66560.25411
19-0.067538-0.52310.6986
20-0.087814-0.68020.750505
21-0.046815-0.36260.640922
22-0.046788-0.36240.640842
23-0.060956-0.47220.680739
240.1873951.45160.075917
25-0.078224-0.60590.726573
26-0.008385-0.0650.525786
27-0.086889-0.6730.748246
28-0.157802-1.22230.886818
29-0.076363-0.59150.721798
30-0.087539-0.67810.749834
310.0882150.68330.248519
32-0.015531-0.12030.547677
33-0.02476-0.19180.575724
34-0.119977-0.92930.821781
35-0.043561-0.33740.631511
36-0.296225-2.29450.987363
37-0.030221-0.23410.592146
38-0.114195-0.88460.810035
390.0034940.02710.489248
400.0471780.36540.358034
410.0657650.50940.306167
420.0412370.31940.375258
43-0.08387-0.64970.740803
44-0.090286-0.69940.756484
45-0.032491-0.25170.598922
46-0.083586-0.64750.740097
470.0356920.27650.39157






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1266280.98090.165301
10.2762852.14010.018211
2-0.13364-1.03520.847628
3-0.157679-1.22140.88664
4-0.084084-0.65130.741333
50.1183830.9170.181409
60.3197512.47680.008047
70.101560.78670.217284
8-0.014521-0.11250.544589
9-0.016784-0.130.551503
100.1291151.00010.160634
11-0.416265-3.22440.998978
120.0329410.25520.399736
130.1552621.20270.116918
14-0.125767-0.97420.833063
150.0594330.46040.323459
160.0436790.33830.368146
17-0.084281-0.65280.741823
180.013510.10460.458502
19-0.016524-0.1280.550708
200.1308051.01320.157514
210.145981.13080.131329
22-0.131149-1.01590.843117
23-0.096762-0.74950.771763
24-0.067754-0.52480.699179
25-0.096262-0.74560.770602
26-0.119349-0.92450.820528
27-0.047167-0.36540.641934
280.1330751.03080.153388
29-0.024747-0.19170.575683
300.0059470.04610.481705
31-0.104202-0.80710.788614
32-0.03449-0.26720.604867
33-0.039996-0.30980.621109
340.0507810.39340.347727
35-0.082085-0.63580.736346
36-0.031594-0.24470.596248
37-0.106161-0.82230.792924
38-0.091542-0.70910.75949
390.0058080.0450.482133
400.1859521.44040.07748
410.0289080.22390.411791
420.0372310.28840.38702
43-0.011806-0.09150.536281
440.0459550.3560.361558
45-0.1222-0.94660.826169
460.0903590.69990.243341
47-0.097726-0.7570.773989

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.126628 & 0.9809 & 0.165301 \tabularnewline
1 & 0.276285 & 2.1401 & 0.018211 \tabularnewline
2 & -0.13364 & -1.0352 & 0.847628 \tabularnewline
3 & -0.157679 & -1.2214 & 0.88664 \tabularnewline
4 & -0.084084 & -0.6513 & 0.741333 \tabularnewline
5 & 0.118383 & 0.917 & 0.181409 \tabularnewline
6 & 0.319751 & 2.4768 & 0.008047 \tabularnewline
7 & 0.10156 & 0.7867 & 0.217284 \tabularnewline
8 & -0.014521 & -0.1125 & 0.544589 \tabularnewline
9 & -0.016784 & -0.13 & 0.551503 \tabularnewline
10 & 0.129115 & 1.0001 & 0.160634 \tabularnewline
11 & -0.416265 & -3.2244 & 0.998978 \tabularnewline
12 & 0.032941 & 0.2552 & 0.399736 \tabularnewline
13 & 0.155262 & 1.2027 & 0.116918 \tabularnewline
14 & -0.125767 & -0.9742 & 0.833063 \tabularnewline
15 & 0.059433 & 0.4604 & 0.323459 \tabularnewline
16 & 0.043679 & 0.3383 & 0.368146 \tabularnewline
17 & -0.084281 & -0.6528 & 0.741823 \tabularnewline
18 & 0.01351 & 0.1046 & 0.458502 \tabularnewline
19 & -0.016524 & -0.128 & 0.550708 \tabularnewline
20 & 0.130805 & 1.0132 & 0.157514 \tabularnewline
21 & 0.14598 & 1.1308 & 0.131329 \tabularnewline
22 & -0.131149 & -1.0159 & 0.843117 \tabularnewline
23 & -0.096762 & -0.7495 & 0.771763 \tabularnewline
24 & -0.067754 & -0.5248 & 0.699179 \tabularnewline
25 & -0.096262 & -0.7456 & 0.770602 \tabularnewline
26 & -0.119349 & -0.9245 & 0.820528 \tabularnewline
27 & -0.047167 & -0.3654 & 0.641934 \tabularnewline
28 & 0.133075 & 1.0308 & 0.153388 \tabularnewline
29 & -0.024747 & -0.1917 & 0.575683 \tabularnewline
30 & 0.005947 & 0.0461 & 0.481705 \tabularnewline
31 & -0.104202 & -0.8071 & 0.788614 \tabularnewline
32 & -0.03449 & -0.2672 & 0.604867 \tabularnewline
33 & -0.039996 & -0.3098 & 0.621109 \tabularnewline
34 & 0.050781 & 0.3934 & 0.347727 \tabularnewline
35 & -0.082085 & -0.6358 & 0.736346 \tabularnewline
36 & -0.031594 & -0.2447 & 0.596248 \tabularnewline
37 & -0.106161 & -0.8223 & 0.792924 \tabularnewline
38 & -0.091542 & -0.7091 & 0.75949 \tabularnewline
39 & 0.005808 & 0.045 & 0.482133 \tabularnewline
40 & 0.185952 & 1.4404 & 0.07748 \tabularnewline
41 & 0.028908 & 0.2239 & 0.411791 \tabularnewline
42 & 0.037231 & 0.2884 & 0.38702 \tabularnewline
43 & -0.011806 & -0.0915 & 0.536281 \tabularnewline
44 & 0.045955 & 0.356 & 0.361558 \tabularnewline
45 & -0.1222 & -0.9466 & 0.826169 \tabularnewline
46 & 0.090359 & 0.6999 & 0.243341 \tabularnewline
47 & -0.097726 & -0.757 & 0.773989 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6787&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]0.126628[/C][C]0.9809[/C][C]0.165301[/C][/ROW]
[ROW][C]1[/C][C]0.276285[/C][C]2.1401[/C][C]0.018211[/C][/ROW]
[ROW][C]2[/C][C]-0.13364[/C][C]-1.0352[/C][C]0.847628[/C][/ROW]
[ROW][C]3[/C][C]-0.157679[/C][C]-1.2214[/C][C]0.88664[/C][/ROW]
[ROW][C]4[/C][C]-0.084084[/C][C]-0.6513[/C][C]0.741333[/C][/ROW]
[ROW][C]5[/C][C]0.118383[/C][C]0.917[/C][C]0.181409[/C][/ROW]
[ROW][C]6[/C][C]0.319751[/C][C]2.4768[/C][C]0.008047[/C][/ROW]
[ROW][C]7[/C][C]0.10156[/C][C]0.7867[/C][C]0.217284[/C][/ROW]
[ROW][C]8[/C][C]-0.014521[/C][C]-0.1125[/C][C]0.544589[/C][/ROW]
[ROW][C]9[/C][C]-0.016784[/C][C]-0.13[/C][C]0.551503[/C][/ROW]
[ROW][C]10[/C][C]0.129115[/C][C]1.0001[/C][C]0.160634[/C][/ROW]
[ROW][C]11[/C][C]-0.416265[/C][C]-3.2244[/C][C]0.998978[/C][/ROW]
[ROW][C]12[/C][C]0.032941[/C][C]0.2552[/C][C]0.399736[/C][/ROW]
[ROW][C]13[/C][C]0.155262[/C][C]1.2027[/C][C]0.116918[/C][/ROW]
[ROW][C]14[/C][C]-0.125767[/C][C]-0.9742[/C][C]0.833063[/C][/ROW]
[ROW][C]15[/C][C]0.059433[/C][C]0.4604[/C][C]0.323459[/C][/ROW]
[ROW][C]16[/C][C]0.043679[/C][C]0.3383[/C][C]0.368146[/C][/ROW]
[ROW][C]17[/C][C]-0.084281[/C][C]-0.6528[/C][C]0.741823[/C][/ROW]
[ROW][C]18[/C][C]0.01351[/C][C]0.1046[/C][C]0.458502[/C][/ROW]
[ROW][C]19[/C][C]-0.016524[/C][C]-0.128[/C][C]0.550708[/C][/ROW]
[ROW][C]20[/C][C]0.130805[/C][C]1.0132[/C][C]0.157514[/C][/ROW]
[ROW][C]21[/C][C]0.14598[/C][C]1.1308[/C][C]0.131329[/C][/ROW]
[ROW][C]22[/C][C]-0.131149[/C][C]-1.0159[/C][C]0.843117[/C][/ROW]
[ROW][C]23[/C][C]-0.096762[/C][C]-0.7495[/C][C]0.771763[/C][/ROW]
[ROW][C]24[/C][C]-0.067754[/C][C]-0.5248[/C][C]0.699179[/C][/ROW]
[ROW][C]25[/C][C]-0.096262[/C][C]-0.7456[/C][C]0.770602[/C][/ROW]
[ROW][C]26[/C][C]-0.119349[/C][C]-0.9245[/C][C]0.820528[/C][/ROW]
[ROW][C]27[/C][C]-0.047167[/C][C]-0.3654[/C][C]0.641934[/C][/ROW]
[ROW][C]28[/C][C]0.133075[/C][C]1.0308[/C][C]0.153388[/C][/ROW]
[ROW][C]29[/C][C]-0.024747[/C][C]-0.1917[/C][C]0.575683[/C][/ROW]
[ROW][C]30[/C][C]0.005947[/C][C]0.0461[/C][C]0.481705[/C][/ROW]
[ROW][C]31[/C][C]-0.104202[/C][C]-0.8071[/C][C]0.788614[/C][/ROW]
[ROW][C]32[/C][C]-0.03449[/C][C]-0.2672[/C][C]0.604867[/C][/ROW]
[ROW][C]33[/C][C]-0.039996[/C][C]-0.3098[/C][C]0.621109[/C][/ROW]
[ROW][C]34[/C][C]0.050781[/C][C]0.3934[/C][C]0.347727[/C][/ROW]
[ROW][C]35[/C][C]-0.082085[/C][C]-0.6358[/C][C]0.736346[/C][/ROW]
[ROW][C]36[/C][C]-0.031594[/C][C]-0.2447[/C][C]0.596248[/C][/ROW]
[ROW][C]37[/C][C]-0.106161[/C][C]-0.8223[/C][C]0.792924[/C][/ROW]
[ROW][C]38[/C][C]-0.091542[/C][C]-0.7091[/C][C]0.75949[/C][/ROW]
[ROW][C]39[/C][C]0.005808[/C][C]0.045[/C][C]0.482133[/C][/ROW]
[ROW][C]40[/C][C]0.185952[/C][C]1.4404[/C][C]0.07748[/C][/ROW]
[ROW][C]41[/C][C]0.028908[/C][C]0.2239[/C][C]0.411791[/C][/ROW]
[ROW][C]42[/C][C]0.037231[/C][C]0.2884[/C][C]0.38702[/C][/ROW]
[ROW][C]43[/C][C]-0.011806[/C][C]-0.0915[/C][C]0.536281[/C][/ROW]
[ROW][C]44[/C][C]0.045955[/C][C]0.356[/C][C]0.361558[/C][/ROW]
[ROW][C]45[/C][C]-0.1222[/C][C]-0.9466[/C][C]0.826169[/C][/ROW]
[ROW][C]46[/C][C]0.090359[/C][C]0.6999[/C][C]0.243341[/C][/ROW]
[ROW][C]47[/C][C]-0.097726[/C][C]-0.757[/C][C]0.773989[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6787&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6787&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
00.1266280.98090.165301
10.2762852.14010.018211
2-0.13364-1.03520.847628
3-0.157679-1.22140.88664
4-0.084084-0.65130.741333
50.1183830.9170.181409
60.3197512.47680.008047
70.101560.78670.217284
8-0.014521-0.11250.544589
9-0.016784-0.130.551503
100.1291151.00010.160634
11-0.416265-3.22440.998978
120.0329410.25520.399736
130.1552621.20270.116918
14-0.125767-0.97420.833063
150.0594330.46040.323459
160.0436790.33830.368146
17-0.084281-0.65280.741823
180.013510.10460.458502
19-0.016524-0.1280.550708
200.1308051.01320.157514
210.145981.13080.131329
22-0.131149-1.01590.843117
23-0.096762-0.74950.771763
24-0.067754-0.52480.699179
25-0.096262-0.74560.770602
26-0.119349-0.92450.820528
27-0.047167-0.36540.641934
280.1330751.03080.153388
29-0.024747-0.19170.575683
300.0059470.04610.481705
31-0.104202-0.80710.788614
32-0.03449-0.26720.604867
33-0.039996-0.30980.621109
340.0507810.39340.347727
35-0.082085-0.63580.736346
36-0.031594-0.24470.596248
37-0.106161-0.82230.792924
38-0.091542-0.70910.75949
390.0058080.0450.482133
400.1859521.44040.07748
410.0289080.22390.411791
420.0372310.28840.38702
43-0.011806-0.09150.536281
440.0459550.3560.361558
45-0.1222-0.94660.826169
460.0903590.69990.243341
47-0.097726-0.7570.773989


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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')