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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 computationSun, 06 Jan 2008 06:58:27 -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/2008/Jan/06/t1199627875z2ieipws93tm87m.htm/, Retrieved Sun, 05 May 2024 03:19:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7800, Retrieved Sun, 05 May 2024 03:19:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact227

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] [ACF Inflatie after] [2008-01-06 13:58:27] [fea8286ffce1c0d00dd375fb36de4323] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.1
1.3
1.2
1.6
1.7
1.5
0.9
1.5
1.4
1.6
1.7
1.4
1.8
1.7
1.4
1.2
1
1.7
2.4
2
2.1
2
1.8
2.7
2.3
1.9
2
2.3
2.8
2.4
2.3
2.7
2.7
2.9
3
2.2
2.3
2.8
2.8
2.8
2.2
2.6
2.8
2.5
2.4
2.3
1.9
1.7
2
2.1
1.7
1.8
1.8
1.8
1.3
1.3
1.3
1.2
1.4
2.2

Tables (Output of Computation)





Summary of compuational 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 compuational 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=7800&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]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=7800&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7800&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
1-0.123134-0.94580.825949
2-0.30719-2.35960.989188
3-0.004733-0.03640.51444
4-0.076632-0.58860.720818
50.2486141.90960.030523
60.020180.1550.438674
7-0.226721-1.74150.956594
80.0373540.28690.387589
9-0.08879-0.6820.751049
100.2896152.22460.014974
110.2783892.13830.01832
12-0.505015-3.87910.999867
13-0.114594-0.88020.808842
140.2174181.670.050106
150.0190150.14610.442187
160.0996690.76560.223491
17-0.269233-2.0680.978484
18-0.054741-0.42050.662168
190.1134480.87140.193531
200.0453970.34870.364279
210.0918330.70540.241673
22-0.076947-0.5910.721624
23-0.185665-1.42610.920448
240.0712360.54720.293161
250.1055880.8110.210302
26-0.084895-0.65210.741561
27-0.044975-0.34550.634512
28-0.061135-0.46960.679809
290.046970.36080.359774
300.073130.56170.288216
31-0.005693-0.04370.517367
320.0115270.08850.464872
33-0.040682-0.31250.622114
34-0.008186-0.06290.524962
350.0101430.07790.46908
360.0267080.20510.419082
37-0.104709-0.80430.787769
380.0282670.21710.41443
390.0012680.00970.496132
40-0.016046-0.12330.548836
410.1441321.10710.136372
420.0261580.20090.420725
43-0.075704-0.58150.718437
44-0.00039-0.0030.50119
45-0.041239-0.31680.62373
46-0.002972-0.02280.509069
47-0.022458-0.17250.568185

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & -0.123134 & -0.9458 & 0.825949 \tabularnewline
2 & -0.30719 & -2.3596 & 0.989188 \tabularnewline
3 & -0.004733 & -0.0364 & 0.51444 \tabularnewline
4 & -0.076632 & -0.5886 & 0.720818 \tabularnewline
5 & 0.248614 & 1.9096 & 0.030523 \tabularnewline
6 & 0.02018 & 0.155 & 0.438674 \tabularnewline
7 & -0.226721 & -1.7415 & 0.956594 \tabularnewline
8 & 0.037354 & 0.2869 & 0.387589 \tabularnewline
9 & -0.08879 & -0.682 & 0.751049 \tabularnewline
10 & 0.289615 & 2.2246 & 0.014974 \tabularnewline
11 & 0.278389 & 2.1383 & 0.01832 \tabularnewline
12 & -0.505015 & -3.8791 & 0.999867 \tabularnewline
13 & -0.114594 & -0.8802 & 0.808842 \tabularnewline
14 & 0.217418 & 1.67 & 0.050106 \tabularnewline
15 & 0.019015 & 0.1461 & 0.442187 \tabularnewline
16 & 0.099669 & 0.7656 & 0.223491 \tabularnewline
17 & -0.269233 & -2.068 & 0.978484 \tabularnewline
18 & -0.054741 & -0.4205 & 0.662168 \tabularnewline
19 & 0.113448 & 0.8714 & 0.193531 \tabularnewline
20 & 0.045397 & 0.3487 & 0.364279 \tabularnewline
21 & 0.091833 & 0.7054 & 0.241673 \tabularnewline
22 & -0.076947 & -0.591 & 0.721624 \tabularnewline
23 & -0.185665 & -1.4261 & 0.920448 \tabularnewline
24 & 0.071236 & 0.5472 & 0.293161 \tabularnewline
25 & 0.105588 & 0.811 & 0.210302 \tabularnewline
26 & -0.084895 & -0.6521 & 0.741561 \tabularnewline
27 & -0.044975 & -0.3455 & 0.634512 \tabularnewline
28 & -0.061135 & -0.4696 & 0.679809 \tabularnewline
29 & 0.04697 & 0.3608 & 0.359774 \tabularnewline
30 & 0.07313 & 0.5617 & 0.288216 \tabularnewline
31 & -0.005693 & -0.0437 & 0.517367 \tabularnewline
32 & 0.011527 & 0.0885 & 0.464872 \tabularnewline
33 & -0.040682 & -0.3125 & 0.622114 \tabularnewline
34 & -0.008186 & -0.0629 & 0.524962 \tabularnewline
35 & 0.010143 & 0.0779 & 0.46908 \tabularnewline
36 & 0.026708 & 0.2051 & 0.419082 \tabularnewline
37 & -0.104709 & -0.8043 & 0.787769 \tabularnewline
38 & 0.028267 & 0.2171 & 0.41443 \tabularnewline
39 & 0.001268 & 0.0097 & 0.496132 \tabularnewline
40 & -0.016046 & -0.1233 & 0.548836 \tabularnewline
41 & 0.144132 & 1.1071 & 0.136372 \tabularnewline
42 & 0.026158 & 0.2009 & 0.420725 \tabularnewline
43 & -0.075704 & -0.5815 & 0.718437 \tabularnewline
44 & -0.00039 & -0.003 & 0.50119 \tabularnewline
45 & -0.041239 & -0.3168 & 0.62373 \tabularnewline
46 & -0.002972 & -0.0228 & 0.509069 \tabularnewline
47 & -0.022458 & -0.1725 & 0.568185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7800&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.123134[/C][C]-0.9458[/C][C]0.825949[/C][/ROW]
[ROW][C]2[/C][C]-0.30719[/C][C]-2.3596[/C][C]0.989188[/C][/ROW]
[ROW][C]3[/C][C]-0.004733[/C][C]-0.0364[/C][C]0.51444[/C][/ROW]
[ROW][C]4[/C][C]-0.076632[/C][C]-0.5886[/C][C]0.720818[/C][/ROW]
[ROW][C]5[/C][C]0.248614[/C][C]1.9096[/C][C]0.030523[/C][/ROW]
[ROW][C]6[/C][C]0.02018[/C][C]0.155[/C][C]0.438674[/C][/ROW]
[ROW][C]7[/C][C]-0.226721[/C][C]-1.7415[/C][C]0.956594[/C][/ROW]
[ROW][C]8[/C][C]0.037354[/C][C]0.2869[/C][C]0.387589[/C][/ROW]
[ROW][C]9[/C][C]-0.08879[/C][C]-0.682[/C][C]0.751049[/C][/ROW]
[ROW][C]10[/C][C]0.289615[/C][C]2.2246[/C][C]0.014974[/C][/ROW]
[ROW][C]11[/C][C]0.278389[/C][C]2.1383[/C][C]0.01832[/C][/ROW]
[ROW][C]12[/C][C]-0.505015[/C][C]-3.8791[/C][C]0.999867[/C][/ROW]
[ROW][C]13[/C][C]-0.114594[/C][C]-0.8802[/C][C]0.808842[/C][/ROW]
[ROW][C]14[/C][C]0.217418[/C][C]1.67[/C][C]0.050106[/C][/ROW]
[ROW][C]15[/C][C]0.019015[/C][C]0.1461[/C][C]0.442187[/C][/ROW]
[ROW][C]16[/C][C]0.099669[/C][C]0.7656[/C][C]0.223491[/C][/ROW]
[ROW][C]17[/C][C]-0.269233[/C][C]-2.068[/C][C]0.978484[/C][/ROW]
[ROW][C]18[/C][C]-0.054741[/C][C]-0.4205[/C][C]0.662168[/C][/ROW]
[ROW][C]19[/C][C]0.113448[/C][C]0.8714[/C][C]0.193531[/C][/ROW]
[ROW][C]20[/C][C]0.045397[/C][C]0.3487[/C][C]0.364279[/C][/ROW]
[ROW][C]21[/C][C]0.091833[/C][C]0.7054[/C][C]0.241673[/C][/ROW]
[ROW][C]22[/C][C]-0.076947[/C][C]-0.591[/C][C]0.721624[/C][/ROW]
[ROW][C]23[/C][C]-0.185665[/C][C]-1.4261[/C][C]0.920448[/C][/ROW]
[ROW][C]24[/C][C]0.071236[/C][C]0.5472[/C][C]0.293161[/C][/ROW]
[ROW][C]25[/C][C]0.105588[/C][C]0.811[/C][C]0.210302[/C][/ROW]
[ROW][C]26[/C][C]-0.084895[/C][C]-0.6521[/C][C]0.741561[/C][/ROW]
[ROW][C]27[/C][C]-0.044975[/C][C]-0.3455[/C][C]0.634512[/C][/ROW]
[ROW][C]28[/C][C]-0.061135[/C][C]-0.4696[/C][C]0.679809[/C][/ROW]
[ROW][C]29[/C][C]0.04697[/C][C]0.3608[/C][C]0.359774[/C][/ROW]
[ROW][C]30[/C][C]0.07313[/C][C]0.5617[/C][C]0.288216[/C][/ROW]
[ROW][C]31[/C][C]-0.005693[/C][C]-0.0437[/C][C]0.517367[/C][/ROW]
[ROW][C]32[/C][C]0.011527[/C][C]0.0885[/C][C]0.464872[/C][/ROW]
[ROW][C]33[/C][C]-0.040682[/C][C]-0.3125[/C][C]0.622114[/C][/ROW]
[ROW][C]34[/C][C]-0.008186[/C][C]-0.0629[/C][C]0.524962[/C][/ROW]
[ROW][C]35[/C][C]0.010143[/C][C]0.0779[/C][C]0.46908[/C][/ROW]
[ROW][C]36[/C][C]0.026708[/C][C]0.2051[/C][C]0.419082[/C][/ROW]
[ROW][C]37[/C][C]-0.104709[/C][C]-0.8043[/C][C]0.787769[/C][/ROW]
[ROW][C]38[/C][C]0.028267[/C][C]0.2171[/C][C]0.41443[/C][/ROW]
[ROW][C]39[/C][C]0.001268[/C][C]0.0097[/C][C]0.496132[/C][/ROW]
[ROW][C]40[/C][C]-0.016046[/C][C]-0.1233[/C][C]0.548836[/C][/ROW]
[ROW][C]41[/C][C]0.144132[/C][C]1.1071[/C][C]0.136372[/C][/ROW]
[ROW][C]42[/C][C]0.026158[/C][C]0.2009[/C][C]0.420725[/C][/ROW]
[ROW][C]43[/C][C]-0.075704[/C][C]-0.5815[/C][C]0.718437[/C][/ROW]
[ROW][C]44[/C][C]-0.00039[/C][C]-0.003[/C][C]0.50119[/C][/ROW]
[ROW][C]45[/C][C]-0.041239[/C][C]-0.3168[/C][C]0.62373[/C][/ROW]
[ROW][C]46[/C][C]-0.002972[/C][C]-0.0228[/C][C]0.509069[/C][/ROW]
[ROW][C]47[/C][C]-0.022458[/C][C]-0.1725[/C][C]0.568185[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7800&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7800&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
017.68110
1-0.123134-0.94580.825949
2-0.30719-2.35960.989188
3-0.004733-0.03640.51444
4-0.076632-0.58860.720818
50.2486141.90960.030523
60.020180.1550.438674
7-0.226721-1.74150.956594
80.0373540.28690.387589
9-0.08879-0.6820.751049
100.2896152.22460.014974
110.2783892.13830.01832
12-0.505015-3.87910.999867
13-0.114594-0.88020.808842
140.2174181.670.050106
150.0190150.14610.442187
160.0996690.76560.223491
17-0.269233-2.0680.978484
18-0.054741-0.42050.662168
190.1134480.87140.193531
200.0453970.34870.364279
210.0918330.70540.241673
22-0.076947-0.5910.721624
23-0.185665-1.42610.920448
240.0712360.54720.293161
250.1055880.8110.210302
26-0.084895-0.65210.741561
27-0.044975-0.34550.634512
28-0.061135-0.46960.679809
290.046970.36080.359774
300.073130.56170.288216
31-0.005693-0.04370.517367
320.0115270.08850.464872
33-0.040682-0.31250.622114
34-0.008186-0.06290.524962
350.0101430.07790.46908
360.0267080.20510.419082
37-0.104709-0.80430.787769
380.0282670.21710.41443
390.0012680.00970.496132
40-0.016046-0.12330.548836
410.1441321.10710.136372
420.0261580.20090.420725
43-0.075704-0.58150.718437
44-0.00039-0.0030.50119
45-0.041239-0.31680.62373
46-0.002972-0.02280.509069
47-0.022458-0.17250.568185






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.123134-0.94580.825949
1-0.327315-2.51420.99266
2-0.108314-0.8320.795611
3-0.226575-1.74040.956495
40.1873771.43930.077679
50.0011650.00890.496445
6-0.09281-0.71290.760638
7-0.004588-0.03520.513995
8-0.172178-1.32250.904452
90.2686612.06360.021731
100.3249482.4960.007688
11-0.257475-1.97770.97368
12-0.1157-0.88870.811115
130.0664070.51010.305948
14-0.067104-0.51540.695914
15-0.013836-0.10630.542138
16-0.149127-1.14550.87168
170.0014220.01090.495661
18-0.148495-1.14060.870679
190.0328440.25230.400851
20-0.122454-0.94060.824623
210.114710.88110.190919
220.1598021.22750.112263
23-0.198503-1.52470.933665
24-0.066457-0.51050.694186
25-0.090841-0.69780.755967
260.039120.30050.38243
270.0135960.10440.458591
28-0.10528-0.80870.789024
29-0.076324-0.58630.72003
300.0036670.02820.488813
310.0611080.46940.320264
32-0.019618-0.15070.559633
330.0565860.43460.332703
340.0302930.23270.408406
35-0.06815-0.52350.698697
36-0.142294-1.0930.860578
37-0.027271-0.20950.582601
38-0.049444-0.37980.647265
390.0138880.10670.457704
400.0812370.6240.267519
410.0475670.36540.358071
42-0.072474-0.55670.710075
430.0617960.47470.31839
44-0.017391-0.13360.552905
45-0.06144-0.47190.680641
46-0.09737-0.74790.771258
470.0719740.55280.291231

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.123134 & -0.9458 & 0.825949 \tabularnewline
1 & -0.327315 & -2.5142 & 0.99266 \tabularnewline
2 & -0.108314 & -0.832 & 0.795611 \tabularnewline
3 & -0.226575 & -1.7404 & 0.956495 \tabularnewline
4 & 0.187377 & 1.4393 & 0.077679 \tabularnewline
5 & 0.001165 & 0.0089 & 0.496445 \tabularnewline
6 & -0.09281 & -0.7129 & 0.760638 \tabularnewline
7 & -0.004588 & -0.0352 & 0.513995 \tabularnewline
8 & -0.172178 & -1.3225 & 0.904452 \tabularnewline
9 & 0.268661 & 2.0636 & 0.021731 \tabularnewline
10 & 0.324948 & 2.496 & 0.007688 \tabularnewline
11 & -0.257475 & -1.9777 & 0.97368 \tabularnewline
12 & -0.1157 & -0.8887 & 0.811115 \tabularnewline
13 & 0.066407 & 0.5101 & 0.305948 \tabularnewline
14 & -0.067104 & -0.5154 & 0.695914 \tabularnewline
15 & -0.013836 & -0.1063 & 0.542138 \tabularnewline
16 & -0.149127 & -1.1455 & 0.87168 \tabularnewline
17 & 0.001422 & 0.0109 & 0.495661 \tabularnewline
18 & -0.148495 & -1.1406 & 0.870679 \tabularnewline
19 & 0.032844 & 0.2523 & 0.400851 \tabularnewline
20 & -0.122454 & -0.9406 & 0.824623 \tabularnewline
21 & 0.11471 & 0.8811 & 0.190919 \tabularnewline
22 & 0.159802 & 1.2275 & 0.112263 \tabularnewline
23 & -0.198503 & -1.5247 & 0.933665 \tabularnewline
24 & -0.066457 & -0.5105 & 0.694186 \tabularnewline
25 & -0.090841 & -0.6978 & 0.755967 \tabularnewline
26 & 0.03912 & 0.3005 & 0.38243 \tabularnewline
27 & 0.013596 & 0.1044 & 0.458591 \tabularnewline
28 & -0.10528 & -0.8087 & 0.789024 \tabularnewline
29 & -0.076324 & -0.5863 & 0.72003 \tabularnewline
30 & 0.003667 & 0.0282 & 0.488813 \tabularnewline
31 & 0.061108 & 0.4694 & 0.320264 \tabularnewline
32 & -0.019618 & -0.1507 & 0.559633 \tabularnewline
33 & 0.056586 & 0.4346 & 0.332703 \tabularnewline
34 & 0.030293 & 0.2327 & 0.408406 \tabularnewline
35 & -0.06815 & -0.5235 & 0.698697 \tabularnewline
36 & -0.142294 & -1.093 & 0.860578 \tabularnewline
37 & -0.027271 & -0.2095 & 0.582601 \tabularnewline
38 & -0.049444 & -0.3798 & 0.647265 \tabularnewline
39 & 0.013888 & 0.1067 & 0.457704 \tabularnewline
40 & 0.081237 & 0.624 & 0.267519 \tabularnewline
41 & 0.047567 & 0.3654 & 0.358071 \tabularnewline
42 & -0.072474 & -0.5567 & 0.710075 \tabularnewline
43 & 0.061796 & 0.4747 & 0.31839 \tabularnewline
44 & -0.017391 & -0.1336 & 0.552905 \tabularnewline
45 & -0.06144 & -0.4719 & 0.680641 \tabularnewline
46 & -0.09737 & -0.7479 & 0.771258 \tabularnewline
47 & 0.071974 & 0.5528 & 0.291231 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7800&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]-0.123134[/C][C]-0.9458[/C][C]0.825949[/C][/ROW]
[ROW][C]1[/C][C]-0.327315[/C][C]-2.5142[/C][C]0.99266[/C][/ROW]
[ROW][C]2[/C][C]-0.108314[/C][C]-0.832[/C][C]0.795611[/C][/ROW]
[ROW][C]3[/C][C]-0.226575[/C][C]-1.7404[/C][C]0.956495[/C][/ROW]
[ROW][C]4[/C][C]0.187377[/C][C]1.4393[/C][C]0.077679[/C][/ROW]
[ROW][C]5[/C][C]0.001165[/C][C]0.0089[/C][C]0.496445[/C][/ROW]
[ROW][C]6[/C][C]-0.09281[/C][C]-0.7129[/C][C]0.760638[/C][/ROW]
[ROW][C]7[/C][C]-0.004588[/C][C]-0.0352[/C][C]0.513995[/C][/ROW]
[ROW][C]8[/C][C]-0.172178[/C][C]-1.3225[/C][C]0.904452[/C][/ROW]
[ROW][C]9[/C][C]0.268661[/C][C]2.0636[/C][C]0.021731[/C][/ROW]
[ROW][C]10[/C][C]0.324948[/C][C]2.496[/C][C]0.007688[/C][/ROW]
[ROW][C]11[/C][C]-0.257475[/C][C]-1.9777[/C][C]0.97368[/C][/ROW]
[ROW][C]12[/C][C]-0.1157[/C][C]-0.8887[/C][C]0.811115[/C][/ROW]
[ROW][C]13[/C][C]0.066407[/C][C]0.5101[/C][C]0.305948[/C][/ROW]
[ROW][C]14[/C][C]-0.067104[/C][C]-0.5154[/C][C]0.695914[/C][/ROW]
[ROW][C]15[/C][C]-0.013836[/C][C]-0.1063[/C][C]0.542138[/C][/ROW]
[ROW][C]16[/C][C]-0.149127[/C][C]-1.1455[/C][C]0.87168[/C][/ROW]
[ROW][C]17[/C][C]0.001422[/C][C]0.0109[/C][C]0.495661[/C][/ROW]
[ROW][C]18[/C][C]-0.148495[/C][C]-1.1406[/C][C]0.870679[/C][/ROW]
[ROW][C]19[/C][C]0.032844[/C][C]0.2523[/C][C]0.400851[/C][/ROW]
[ROW][C]20[/C][C]-0.122454[/C][C]-0.9406[/C][C]0.824623[/C][/ROW]
[ROW][C]21[/C][C]0.11471[/C][C]0.8811[/C][C]0.190919[/C][/ROW]
[ROW][C]22[/C][C]0.159802[/C][C]1.2275[/C][C]0.112263[/C][/ROW]
[ROW][C]23[/C][C]-0.198503[/C][C]-1.5247[/C][C]0.933665[/C][/ROW]
[ROW][C]24[/C][C]-0.066457[/C][C]-0.5105[/C][C]0.694186[/C][/ROW]
[ROW][C]25[/C][C]-0.090841[/C][C]-0.6978[/C][C]0.755967[/C][/ROW]
[ROW][C]26[/C][C]0.03912[/C][C]0.3005[/C][C]0.38243[/C][/ROW]
[ROW][C]27[/C][C]0.013596[/C][C]0.1044[/C][C]0.458591[/C][/ROW]
[ROW][C]28[/C][C]-0.10528[/C][C]-0.8087[/C][C]0.789024[/C][/ROW]
[ROW][C]29[/C][C]-0.076324[/C][C]-0.5863[/C][C]0.72003[/C][/ROW]
[ROW][C]30[/C][C]0.003667[/C][C]0.0282[/C][C]0.488813[/C][/ROW]
[ROW][C]31[/C][C]0.061108[/C][C]0.4694[/C][C]0.320264[/C][/ROW]
[ROW][C]32[/C][C]-0.019618[/C][C]-0.1507[/C][C]0.559633[/C][/ROW]
[ROW][C]33[/C][C]0.056586[/C][C]0.4346[/C][C]0.332703[/C][/ROW]
[ROW][C]34[/C][C]0.030293[/C][C]0.2327[/C][C]0.408406[/C][/ROW]
[ROW][C]35[/C][C]-0.06815[/C][C]-0.5235[/C][C]0.698697[/C][/ROW]
[ROW][C]36[/C][C]-0.142294[/C][C]-1.093[/C][C]0.860578[/C][/ROW]
[ROW][C]37[/C][C]-0.027271[/C][C]-0.2095[/C][C]0.582601[/C][/ROW]
[ROW][C]38[/C][C]-0.049444[/C][C]-0.3798[/C][C]0.647265[/C][/ROW]
[ROW][C]39[/C][C]0.013888[/C][C]0.1067[/C][C]0.457704[/C][/ROW]
[ROW][C]40[/C][C]0.081237[/C][C]0.624[/C][C]0.267519[/C][/ROW]
[ROW][C]41[/C][C]0.047567[/C][C]0.3654[/C][C]0.358071[/C][/ROW]
[ROW][C]42[/C][C]-0.072474[/C][C]-0.5567[/C][C]0.710075[/C][/ROW]
[ROW][C]43[/C][C]0.061796[/C][C]0.4747[/C][C]0.31839[/C][/ROW]
[ROW][C]44[/C][C]-0.017391[/C][C]-0.1336[/C][C]0.552905[/C][/ROW]
[ROW][C]45[/C][C]-0.06144[/C][C]-0.4719[/C][C]0.680641[/C][/ROW]
[ROW][C]46[/C][C]-0.09737[/C][C]-0.7479[/C][C]0.771258[/C][/ROW]
[ROW][C]47[/C][C]0.071974[/C][C]0.5528[/C][C]0.291231[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7800&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7800&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
0-0.123134-0.94580.825949
1-0.327315-2.51420.99266
2-0.108314-0.8320.795611
3-0.226575-1.74040.956495
40.1873771.43930.077679
50.0011650.00890.496445
6-0.09281-0.71290.760638
7-0.004588-0.03520.513995
8-0.172178-1.32250.904452
90.2686612.06360.021731
100.3249482.4960.007688
11-0.257475-1.97770.97368
12-0.1157-0.88870.811115
130.0664070.51010.305948
14-0.067104-0.51540.695914
15-0.013836-0.10630.542138
16-0.149127-1.14550.87168
170.0014220.01090.495661
18-0.148495-1.14060.870679
190.0328440.25230.400851
20-0.122454-0.94060.824623
210.114710.88110.190919
220.1598021.22750.112263
23-0.198503-1.52470.933665
24-0.066457-0.51050.694186
25-0.090841-0.69780.755967
260.039120.30050.38243
270.0135960.10440.458591
28-0.10528-0.80870.789024
29-0.076324-0.58630.72003
300.0036670.02820.488813
310.0611080.46940.320264
32-0.019618-0.15070.559633
330.0565860.43460.332703
340.0302930.23270.408406
35-0.06815-0.52350.698697
36-0.142294-1.0930.860578
37-0.027271-0.20950.582601
38-0.049444-0.37980.647265
390.0138880.10670.457704
400.0812370.6240.267519
410.0475670.36540.358071
42-0.072474-0.55670.710075
430.0617960.47470.31839
44-0.017391-0.13360.552905
45-0.06144-0.47190.680641
46-0.09737-0.74790.771258
470.0719740.55280.291231


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')