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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 computationMon, 15 Dec 2014 15:17:47 +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/2014/Dec/15/t1418656684d21kbktkhrzc6an.htm/, Retrieved Thu, 16 May 2024 16:15:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268618, Retrieved Thu, 16 May 2024 16:15:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

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] [] [2014-10-17 10:18:42] [b1d502e6dbdcdb9b136a9153b792139c]
- R P     [(Partial) Autocorrelation Function] [] [2014-12-15 15:17:47] [823d84bc2f1aa2ddbab319cc794dd4cf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104,31
104,76
105,68
106,22
106,69
107,17
107,46
107,16
107,35
107,65
107,75
108,22
108,68
109,35
109,54
109,46
108,86
108,63
107,55
106,8
106,07
106,44
106,38
107,07
106,54
107,83
108,06
108,49
107,9
108,02
108,46
108,31
107,69
107,71
107,74
108,15
107,39
109,16
109,65
110,4
110,26
110,5
110,31
109,85
109,4
109,75
109,79
110,27
109,19
111,78
111,58
111,71
111,59
112,14
111,73
111,32
111,29
112,45
112,61
114,3
113,32
114,85
115,35
114,9
115,49
115,55
115,44
114,81
113,83
113,64
113,26
114,68

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268618&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268618&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'Herman Ole Andreas Wold' @ wold.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.146915-1.23790.10991
20.2692342.26860.013167
3-0.129786-1.09360.138914
40.1151090.96990.167688
5-0.221328-1.86490.033161
6-0.193736-1.63240.053507
7-0.203927-1.71830.045048
80.1505861.26890.104318
9-0.214891-1.81070.037208
100.2542052.1420.017814
11-0.28768-2.4240.008949
120.5452254.59419e-06
13-0.155473-1.310.097203
140.0937460.78990.216102
15-0.077446-0.65260.258069
160.0167480.14110.444087
17-0.219401-1.84870.034332
18-0.115868-0.97630.166111
19-0.166143-1.39990.082942
200.1160970.97830.165635
21-0.205855-1.73460.043579
220.2437692.0540.021828
23-0.132119-1.11330.134677
240.3401492.86610.002732
25-0.067558-0.56930.285491
260.113460.9560.171151
27-0.032579-0.27450.392244
280.0354880.2990.382898
29-0.16021-1.350.090659
30-0.130491-1.09950.137625
31-0.180615-1.52190.066239
320.1054720.88870.188577
33-0.10455-0.8810.190657
340.1704841.43650.077623
35-0.02728-0.22990.40943
360.2336251.96860.026454
37-0.011486-0.09680.461585
380.021970.18510.426831
39-0.083082-0.70010.243089
40-0.037735-0.3180.375724
41-0.081168-0.68390.248123
42-0.115156-0.97030.16759
43-0.130807-1.10220.137049
440.0249430.21020.417068
45-0.013246-0.11160.455723
460.0547860.46160.322877
470.0393760.33180.370515
480.1258391.06030.146292

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.146915 & -1.2379 & 0.10991 \tabularnewline
2 & 0.269234 & 2.2686 & 0.013167 \tabularnewline
3 & -0.129786 & -1.0936 & 0.138914 \tabularnewline
4 & 0.115109 & 0.9699 & 0.167688 \tabularnewline
5 & -0.221328 & -1.8649 & 0.033161 \tabularnewline
6 & -0.193736 & -1.6324 & 0.053507 \tabularnewline
7 & -0.203927 & -1.7183 & 0.045048 \tabularnewline
8 & 0.150586 & 1.2689 & 0.104318 \tabularnewline
9 & -0.214891 & -1.8107 & 0.037208 \tabularnewline
10 & 0.254205 & 2.142 & 0.017814 \tabularnewline
11 & -0.28768 & -2.424 & 0.008949 \tabularnewline
12 & 0.545225 & 4.5941 & 9e-06 \tabularnewline
13 & -0.155473 & -1.31 & 0.097203 \tabularnewline
14 & 0.093746 & 0.7899 & 0.216102 \tabularnewline
15 & -0.077446 & -0.6526 & 0.258069 \tabularnewline
16 & 0.016748 & 0.1411 & 0.444087 \tabularnewline
17 & -0.219401 & -1.8487 & 0.034332 \tabularnewline
18 & -0.115868 & -0.9763 & 0.166111 \tabularnewline
19 & -0.166143 & -1.3999 & 0.082942 \tabularnewline
20 & 0.116097 & 0.9783 & 0.165635 \tabularnewline
21 & -0.205855 & -1.7346 & 0.043579 \tabularnewline
22 & 0.243769 & 2.054 & 0.021828 \tabularnewline
23 & -0.132119 & -1.1133 & 0.134677 \tabularnewline
24 & 0.340149 & 2.8661 & 0.002732 \tabularnewline
25 & -0.067558 & -0.5693 & 0.285491 \tabularnewline
26 & 0.11346 & 0.956 & 0.171151 \tabularnewline
27 & -0.032579 & -0.2745 & 0.392244 \tabularnewline
28 & 0.035488 & 0.299 & 0.382898 \tabularnewline
29 & -0.16021 & -1.35 & 0.090659 \tabularnewline
30 & -0.130491 & -1.0995 & 0.137625 \tabularnewline
31 & -0.180615 & -1.5219 & 0.066239 \tabularnewline
32 & 0.105472 & 0.8887 & 0.188577 \tabularnewline
33 & -0.10455 & -0.881 & 0.190657 \tabularnewline
34 & 0.170484 & 1.4365 & 0.077623 \tabularnewline
35 & -0.02728 & -0.2299 & 0.40943 \tabularnewline
36 & 0.233625 & 1.9686 & 0.026454 \tabularnewline
37 & -0.011486 & -0.0968 & 0.461585 \tabularnewline
38 & 0.02197 & 0.1851 & 0.426831 \tabularnewline
39 & -0.083082 & -0.7001 & 0.243089 \tabularnewline
40 & -0.037735 & -0.318 & 0.375724 \tabularnewline
41 & -0.081168 & -0.6839 & 0.248123 \tabularnewline
42 & -0.115156 & -0.9703 & 0.16759 \tabularnewline
43 & -0.130807 & -1.1022 & 0.137049 \tabularnewline
44 & 0.024943 & 0.2102 & 0.417068 \tabularnewline
45 & -0.013246 & -0.1116 & 0.455723 \tabularnewline
46 & 0.054786 & 0.4616 & 0.322877 \tabularnewline
47 & 0.039376 & 0.3318 & 0.370515 \tabularnewline
48 & 0.125839 & 1.0603 & 0.146292 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268618&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]-0.146915[/C][C]-1.2379[/C][C]0.10991[/C][/ROW]
[ROW][C]2[/C][C]0.269234[/C][C]2.2686[/C][C]0.013167[/C][/ROW]
[ROW][C]3[/C][C]-0.129786[/C][C]-1.0936[/C][C]0.138914[/C][/ROW]
[ROW][C]4[/C][C]0.115109[/C][C]0.9699[/C][C]0.167688[/C][/ROW]
[ROW][C]5[/C][C]-0.221328[/C][C]-1.8649[/C][C]0.033161[/C][/ROW]
[ROW][C]6[/C][C]-0.193736[/C][C]-1.6324[/C][C]0.053507[/C][/ROW]
[ROW][C]7[/C][C]-0.203927[/C][C]-1.7183[/C][C]0.045048[/C][/ROW]
[ROW][C]8[/C][C]0.150586[/C][C]1.2689[/C][C]0.104318[/C][/ROW]
[ROW][C]9[/C][C]-0.214891[/C][C]-1.8107[/C][C]0.037208[/C][/ROW]
[ROW][C]10[/C][C]0.254205[/C][C]2.142[/C][C]0.017814[/C][/ROW]
[ROW][C]11[/C][C]-0.28768[/C][C]-2.424[/C][C]0.008949[/C][/ROW]
[ROW][C]12[/C][C]0.545225[/C][C]4.5941[/C][C]9e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.155473[/C][C]-1.31[/C][C]0.097203[/C][/ROW]
[ROW][C]14[/C][C]0.093746[/C][C]0.7899[/C][C]0.216102[/C][/ROW]
[ROW][C]15[/C][C]-0.077446[/C][C]-0.6526[/C][C]0.258069[/C][/ROW]
[ROW][C]16[/C][C]0.016748[/C][C]0.1411[/C][C]0.444087[/C][/ROW]
[ROW][C]17[/C][C]-0.219401[/C][C]-1.8487[/C][C]0.034332[/C][/ROW]
[ROW][C]18[/C][C]-0.115868[/C][C]-0.9763[/C][C]0.166111[/C][/ROW]
[ROW][C]19[/C][C]-0.166143[/C][C]-1.3999[/C][C]0.082942[/C][/ROW]
[ROW][C]20[/C][C]0.116097[/C][C]0.9783[/C][C]0.165635[/C][/ROW]
[ROW][C]21[/C][C]-0.205855[/C][C]-1.7346[/C][C]0.043579[/C][/ROW]
[ROW][C]22[/C][C]0.243769[/C][C]2.054[/C][C]0.021828[/C][/ROW]
[ROW][C]23[/C][C]-0.132119[/C][C]-1.1133[/C][C]0.134677[/C][/ROW]
[ROW][C]24[/C][C]0.340149[/C][C]2.8661[/C][C]0.002732[/C][/ROW]
[ROW][C]25[/C][C]-0.067558[/C][C]-0.5693[/C][C]0.285491[/C][/ROW]
[ROW][C]26[/C][C]0.11346[/C][C]0.956[/C][C]0.171151[/C][/ROW]
[ROW][C]27[/C][C]-0.032579[/C][C]-0.2745[/C][C]0.392244[/C][/ROW]
[ROW][C]28[/C][C]0.035488[/C][C]0.299[/C][C]0.382898[/C][/ROW]
[ROW][C]29[/C][C]-0.16021[/C][C]-1.35[/C][C]0.090659[/C][/ROW]
[ROW][C]30[/C][C]-0.130491[/C][C]-1.0995[/C][C]0.137625[/C][/ROW]
[ROW][C]31[/C][C]-0.180615[/C][C]-1.5219[/C][C]0.066239[/C][/ROW]
[ROW][C]32[/C][C]0.105472[/C][C]0.8887[/C][C]0.188577[/C][/ROW]
[ROW][C]33[/C][C]-0.10455[/C][C]-0.881[/C][C]0.190657[/C][/ROW]
[ROW][C]34[/C][C]0.170484[/C][C]1.4365[/C][C]0.077623[/C][/ROW]
[ROW][C]35[/C][C]-0.02728[/C][C]-0.2299[/C][C]0.40943[/C][/ROW]
[ROW][C]36[/C][C]0.233625[/C][C]1.9686[/C][C]0.026454[/C][/ROW]
[ROW][C]37[/C][C]-0.011486[/C][C]-0.0968[/C][C]0.461585[/C][/ROW]
[ROW][C]38[/C][C]0.02197[/C][C]0.1851[/C][C]0.426831[/C][/ROW]
[ROW][C]39[/C][C]-0.083082[/C][C]-0.7001[/C][C]0.243089[/C][/ROW]
[ROW][C]40[/C][C]-0.037735[/C][C]-0.318[/C][C]0.375724[/C][/ROW]
[ROW][C]41[/C][C]-0.081168[/C][C]-0.6839[/C][C]0.248123[/C][/ROW]
[ROW][C]42[/C][C]-0.115156[/C][C]-0.9703[/C][C]0.16759[/C][/ROW]
[ROW][C]43[/C][C]-0.130807[/C][C]-1.1022[/C][C]0.137049[/C][/ROW]
[ROW][C]44[/C][C]0.024943[/C][C]0.2102[/C][C]0.417068[/C][/ROW]
[ROW][C]45[/C][C]-0.013246[/C][C]-0.1116[/C][C]0.455723[/C][/ROW]
[ROW][C]46[/C][C]0.054786[/C][C]0.4616[/C][C]0.322877[/C][/ROW]
[ROW][C]47[/C][C]0.039376[/C][C]0.3318[/C][C]0.370515[/C][/ROW]
[ROW][C]48[/C][C]0.125839[/C][C]1.0603[/C][C]0.146292[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268618&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
1-0.146915-1.23790.10991
20.2692342.26860.013167
3-0.129786-1.09360.138914
40.1151090.96990.167688
5-0.221328-1.86490.033161
6-0.193736-1.63240.053507
7-0.203927-1.71830.045048
80.1505861.26890.104318
9-0.214891-1.81070.037208
100.2542052.1420.017814
11-0.28768-2.4240.008949
120.5452254.59419e-06
13-0.155473-1.310.097203
140.0937460.78990.216102
15-0.077446-0.65260.258069
160.0167480.14110.444087
17-0.219401-1.84870.034332
18-0.115868-0.97630.166111
19-0.166143-1.39990.082942
200.1160970.97830.165635
21-0.205855-1.73460.043579
220.2437692.0540.021828
23-0.132119-1.11330.134677
240.3401492.86610.002732
25-0.067558-0.56930.285491
260.113460.9560.171151
27-0.032579-0.27450.392244
280.0354880.2990.382898
29-0.16021-1.350.090659
30-0.130491-1.09950.137625
31-0.180615-1.52190.066239
320.1054720.88870.188577
33-0.10455-0.8810.190657
340.1704841.43650.077623
35-0.02728-0.22990.40943
360.2336251.96860.026454
37-0.011486-0.09680.461585
380.021970.18510.426831
39-0.083082-0.70010.243089
40-0.037735-0.3180.375724
41-0.081168-0.68390.248123
42-0.115156-0.97030.16759
43-0.130807-1.10220.137049
440.0249430.21020.417068
45-0.013246-0.11160.455723
460.0547860.46160.322877
470.0393760.33180.370515
480.1258391.06030.146292






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.146915-1.23790.10991
20.2531132.13280.018201
3-0.06886-0.58020.281799
40.0295160.24870.402152
5-0.173365-1.46080.074241
6-0.306963-2.58650.005873
7-0.195496-1.64730.05196
80.228841.92820.028912
9-0.106687-0.8990.185855
100.1598391.34680.09116
11-0.308196-2.59690.005713
120.359893.03250.001693
13-0.004591-0.03870.484625
14-0.158668-1.3370.092752
150.047510.40030.345058
16-0.159141-1.34090.092106
17-0.19381-1.63310.053441
18-0.002903-0.02450.490277
190.055020.46360.322175
20-0.13654-1.15050.126897
210.0035210.02970.488206
22-0.074705-0.62950.26553
230.0451490.38040.352381
240.0511750.43120.333811
25-0.050273-0.42360.336567
260.0901410.75950.225022
27-0.088445-0.74530.22929
28-0.057306-0.48290.315337
290.0408730.34440.365782
30-0.202597-1.70710.046085
31-0.14297-1.20470.116163
320.1282781.08090.141701
330.0925140.77950.219128
34-0.090187-0.75990.224905
350.0320440.270.393968
36-0.120705-1.01710.156284
37-0.009775-0.08240.467293
38-0.041963-0.35360.362349
39-0.089573-0.75480.226445
40-0.044181-0.37230.355398
41-0.043135-0.36350.35867
42-0.089753-0.75630.225994
430.0474040.39940.345388
44-0.152825-1.28770.101011
45-0.070896-0.59740.276078
46-0.037206-0.31350.37741
47-0.064103-0.54010.295396
48-0.083225-0.70130.242714

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.146915 & -1.2379 & 0.10991 \tabularnewline
2 & 0.253113 & 2.1328 & 0.018201 \tabularnewline
3 & -0.06886 & -0.5802 & 0.281799 \tabularnewline
4 & 0.029516 & 0.2487 & 0.402152 \tabularnewline
5 & -0.173365 & -1.4608 & 0.074241 \tabularnewline
6 & -0.306963 & -2.5865 & 0.005873 \tabularnewline
7 & -0.195496 & -1.6473 & 0.05196 \tabularnewline
8 & 0.22884 & 1.9282 & 0.028912 \tabularnewline
9 & -0.106687 & -0.899 & 0.185855 \tabularnewline
10 & 0.159839 & 1.3468 & 0.09116 \tabularnewline
11 & -0.308196 & -2.5969 & 0.005713 \tabularnewline
12 & 0.35989 & 3.0325 & 0.001693 \tabularnewline
13 & -0.004591 & -0.0387 & 0.484625 \tabularnewline
14 & -0.158668 & -1.337 & 0.092752 \tabularnewline
15 & 0.04751 & 0.4003 & 0.345058 \tabularnewline
16 & -0.159141 & -1.3409 & 0.092106 \tabularnewline
17 & -0.19381 & -1.6331 & 0.053441 \tabularnewline
18 & -0.002903 & -0.0245 & 0.490277 \tabularnewline
19 & 0.05502 & 0.4636 & 0.322175 \tabularnewline
20 & -0.13654 & -1.1505 & 0.126897 \tabularnewline
21 & 0.003521 & 0.0297 & 0.488206 \tabularnewline
22 & -0.074705 & -0.6295 & 0.26553 \tabularnewline
23 & 0.045149 & 0.3804 & 0.352381 \tabularnewline
24 & 0.051175 & 0.4312 & 0.333811 \tabularnewline
25 & -0.050273 & -0.4236 & 0.336567 \tabularnewline
26 & 0.090141 & 0.7595 & 0.225022 \tabularnewline
27 & -0.088445 & -0.7453 & 0.22929 \tabularnewline
28 & -0.057306 & -0.4829 & 0.315337 \tabularnewline
29 & 0.040873 & 0.3444 & 0.365782 \tabularnewline
30 & -0.202597 & -1.7071 & 0.046085 \tabularnewline
31 & -0.14297 & -1.2047 & 0.116163 \tabularnewline
32 & 0.128278 & 1.0809 & 0.141701 \tabularnewline
33 & 0.092514 & 0.7795 & 0.219128 \tabularnewline
34 & -0.090187 & -0.7599 & 0.224905 \tabularnewline
35 & 0.032044 & 0.27 & 0.393968 \tabularnewline
36 & -0.120705 & -1.0171 & 0.156284 \tabularnewline
37 & -0.009775 & -0.0824 & 0.467293 \tabularnewline
38 & -0.041963 & -0.3536 & 0.362349 \tabularnewline
39 & -0.089573 & -0.7548 & 0.226445 \tabularnewline
40 & -0.044181 & -0.3723 & 0.355398 \tabularnewline
41 & -0.043135 & -0.3635 & 0.35867 \tabularnewline
42 & -0.089753 & -0.7563 & 0.225994 \tabularnewline
43 & 0.047404 & 0.3994 & 0.345388 \tabularnewline
44 & -0.152825 & -1.2877 & 0.101011 \tabularnewline
45 & -0.070896 & -0.5974 & 0.276078 \tabularnewline
46 & -0.037206 & -0.3135 & 0.37741 \tabularnewline
47 & -0.064103 & -0.5401 & 0.295396 \tabularnewline
48 & -0.083225 & -0.7013 & 0.242714 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268618&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]-0.146915[/C][C]-1.2379[/C][C]0.10991[/C][/ROW]
[ROW][C]2[/C][C]0.253113[/C][C]2.1328[/C][C]0.018201[/C][/ROW]
[ROW][C]3[/C][C]-0.06886[/C][C]-0.5802[/C][C]0.281799[/C][/ROW]
[ROW][C]4[/C][C]0.029516[/C][C]0.2487[/C][C]0.402152[/C][/ROW]
[ROW][C]5[/C][C]-0.173365[/C][C]-1.4608[/C][C]0.074241[/C][/ROW]
[ROW][C]6[/C][C]-0.306963[/C][C]-2.5865[/C][C]0.005873[/C][/ROW]
[ROW][C]7[/C][C]-0.195496[/C][C]-1.6473[/C][C]0.05196[/C][/ROW]
[ROW][C]8[/C][C]0.22884[/C][C]1.9282[/C][C]0.028912[/C][/ROW]
[ROW][C]9[/C][C]-0.106687[/C][C]-0.899[/C][C]0.185855[/C][/ROW]
[ROW][C]10[/C][C]0.159839[/C][C]1.3468[/C][C]0.09116[/C][/ROW]
[ROW][C]11[/C][C]-0.308196[/C][C]-2.5969[/C][C]0.005713[/C][/ROW]
[ROW][C]12[/C][C]0.35989[/C][C]3.0325[/C][C]0.001693[/C][/ROW]
[ROW][C]13[/C][C]-0.004591[/C][C]-0.0387[/C][C]0.484625[/C][/ROW]
[ROW][C]14[/C][C]-0.158668[/C][C]-1.337[/C][C]0.092752[/C][/ROW]
[ROW][C]15[/C][C]0.04751[/C][C]0.4003[/C][C]0.345058[/C][/ROW]
[ROW][C]16[/C][C]-0.159141[/C][C]-1.3409[/C][C]0.092106[/C][/ROW]
[ROW][C]17[/C][C]-0.19381[/C][C]-1.6331[/C][C]0.053441[/C][/ROW]
[ROW][C]18[/C][C]-0.002903[/C][C]-0.0245[/C][C]0.490277[/C][/ROW]
[ROW][C]19[/C][C]0.05502[/C][C]0.4636[/C][C]0.322175[/C][/ROW]
[ROW][C]20[/C][C]-0.13654[/C][C]-1.1505[/C][C]0.126897[/C][/ROW]
[ROW][C]21[/C][C]0.003521[/C][C]0.0297[/C][C]0.488206[/C][/ROW]
[ROW][C]22[/C][C]-0.074705[/C][C]-0.6295[/C][C]0.26553[/C][/ROW]
[ROW][C]23[/C][C]0.045149[/C][C]0.3804[/C][C]0.352381[/C][/ROW]
[ROW][C]24[/C][C]0.051175[/C][C]0.4312[/C][C]0.333811[/C][/ROW]
[ROW][C]25[/C][C]-0.050273[/C][C]-0.4236[/C][C]0.336567[/C][/ROW]
[ROW][C]26[/C][C]0.090141[/C][C]0.7595[/C][C]0.225022[/C][/ROW]
[ROW][C]27[/C][C]-0.088445[/C][C]-0.7453[/C][C]0.22929[/C][/ROW]
[ROW][C]28[/C][C]-0.057306[/C][C]-0.4829[/C][C]0.315337[/C][/ROW]
[ROW][C]29[/C][C]0.040873[/C][C]0.3444[/C][C]0.365782[/C][/ROW]
[ROW][C]30[/C][C]-0.202597[/C][C]-1.7071[/C][C]0.046085[/C][/ROW]
[ROW][C]31[/C][C]-0.14297[/C][C]-1.2047[/C][C]0.116163[/C][/ROW]
[ROW][C]32[/C][C]0.128278[/C][C]1.0809[/C][C]0.141701[/C][/ROW]
[ROW][C]33[/C][C]0.092514[/C][C]0.7795[/C][C]0.219128[/C][/ROW]
[ROW][C]34[/C][C]-0.090187[/C][C]-0.7599[/C][C]0.224905[/C][/ROW]
[ROW][C]35[/C][C]0.032044[/C][C]0.27[/C][C]0.393968[/C][/ROW]
[ROW][C]36[/C][C]-0.120705[/C][C]-1.0171[/C][C]0.156284[/C][/ROW]
[ROW][C]37[/C][C]-0.009775[/C][C]-0.0824[/C][C]0.467293[/C][/ROW]
[ROW][C]38[/C][C]-0.041963[/C][C]-0.3536[/C][C]0.362349[/C][/ROW]
[ROW][C]39[/C][C]-0.089573[/C][C]-0.7548[/C][C]0.226445[/C][/ROW]
[ROW][C]40[/C][C]-0.044181[/C][C]-0.3723[/C][C]0.355398[/C][/ROW]
[ROW][C]41[/C][C]-0.043135[/C][C]-0.3635[/C][C]0.35867[/C][/ROW]
[ROW][C]42[/C][C]-0.089753[/C][C]-0.7563[/C][C]0.225994[/C][/ROW]
[ROW][C]43[/C][C]0.047404[/C][C]0.3994[/C][C]0.345388[/C][/ROW]
[ROW][C]44[/C][C]-0.152825[/C][C]-1.2877[/C][C]0.101011[/C][/ROW]
[ROW][C]45[/C][C]-0.070896[/C][C]-0.5974[/C][C]0.276078[/C][/ROW]
[ROW][C]46[/C][C]-0.037206[/C][C]-0.3135[/C][C]0.37741[/C][/ROW]
[ROW][C]47[/C][C]-0.064103[/C][C]-0.5401[/C][C]0.295396[/C][/ROW]
[ROW][C]48[/C][C]-0.083225[/C][C]-0.7013[/C][C]0.242714[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268618&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268618&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
1-0.146915-1.23790.10991
20.2531132.13280.018201
3-0.06886-0.58020.281799
40.0295160.24870.402152
5-0.173365-1.46080.074241
6-0.306963-2.58650.005873
7-0.195496-1.64730.05196
80.228841.92820.028912
9-0.106687-0.8990.185855
100.1598391.34680.09116
11-0.308196-2.59690.005713
120.359893.03250.001693
13-0.004591-0.03870.484625
14-0.158668-1.3370.092752
150.047510.40030.345058
16-0.159141-1.34090.092106
17-0.19381-1.63310.053441
18-0.002903-0.02450.490277
190.055020.46360.322175
20-0.13654-1.15050.126897
210.0035210.02970.488206
22-0.074705-0.62950.26553
230.0451490.38040.352381
240.0511750.43120.333811
25-0.050273-0.42360.336567
260.0901410.75950.225022
27-0.088445-0.74530.22929
28-0.057306-0.48290.315337
290.0408730.34440.365782
30-0.202597-1.70710.046085
31-0.14297-1.20470.116163
320.1282781.08090.141701
330.0925140.77950.219128
34-0.090187-0.75990.224905
350.0320440.270.393968
36-0.120705-1.01710.156284
37-0.009775-0.08240.467293
38-0.041963-0.35360.362349
39-0.089573-0.75480.226445
40-0.044181-0.37230.355398
41-0.043135-0.36350.35867
42-0.089753-0.75630.225994
430.0474040.39940.345388
44-0.152825-1.28770.101011
45-0.070896-0.59740.276078
46-0.037206-0.31350.37741
47-0.064103-0.54010.295396
48-0.083225-0.70130.242714


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)
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')