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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Apr 2010 16:04:40 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Apr/28/t1272470729jlb9ayonxqtc0u8.htm/, Retrieved Thu, 28 Mar 2024 20:30:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74989, Retrieved Thu, 28 Mar 2024 20:30:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie ge...] [2010-04-28 16:04:40] [615289131d9f16e370470ddcc9ade44c] [Current]
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Dataseries X:
25204
24977
24320
22680
22052
21467
21383
21777
21928
21814
22937
23595
20830
19650
19195
19644
18483
18079
19178
18391
18441
18584
20108
20148
19394
17745
17696
17032
16438
15683
15594
15713
15937
16171
15928
16348
15579
15305
15648
14954
15137
15839
16050
15168
17064
16005
14886
14931
14544
13812
13031
12574
11964
11451
11346
11353
10702
10646
10556
10463
10407
10625
10872
10805
10653
10574
10431
10383
10296
10872
10635
10297
10570




Summary of computational 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 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74989&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74989&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74989&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0518560.440.330624
2-0.135933-1.15340.126274
30.0516630.43840.331214
40.0871210.73920.23108
5-0.225065-1.90970.030075
6-0.233492-1.98120.025692
7-0.025023-0.21230.416225
8-0.081988-0.69570.24443
90.0566410.48060.316124
10-0.065456-0.55540.290166
110.135021.14570.127859
120.1093420.92780.178306
130.1227321.04140.150583
14-0.048889-0.41480.339749
15-0.082075-0.69640.2442
16-0.046621-0.39560.346787
17-0.072058-0.61140.271419
18-0.07553-0.64090.261812
19-0.211239-1.79240.038633
200.0313020.26560.39565
210.029710.25210.400841
220.1786881.51620.066921
230.0264130.22410.411647
240.0826990.70170.242557
250.0501420.42550.335881
260.0647460.54940.292219
270.0256020.21720.414317
28-0.128363-1.08920.13985
29-0.047466-0.40280.344157
30-0.049879-0.42320.336692
310.0281650.2390.405898
32-0.144379-1.22510.112265
330.1190861.01050.157826
340.1347671.14350.128302
35-0.094883-0.80510.211704
360.0047890.04060.48385
370.0748140.63480.263779
38-0.052366-0.44430.329064
39-0.035482-0.30110.382112
400.0425930.36140.359425
41-0.074108-0.62880.265726
42-0.03993-0.33880.367866
430.0228620.1940.423365
440.0138670.11770.45333
45-0.025794-0.21890.413686
460.0187420.1590.437045
470.0640760.54370.294162
480.0061250.0520.479347

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.051856 & 0.44 & 0.330624 \tabularnewline
2 & -0.135933 & -1.1534 & 0.126274 \tabularnewline
3 & 0.051663 & 0.4384 & 0.331214 \tabularnewline
4 & 0.087121 & 0.7392 & 0.23108 \tabularnewline
5 & -0.225065 & -1.9097 & 0.030075 \tabularnewline
6 & -0.233492 & -1.9812 & 0.025692 \tabularnewline
7 & -0.025023 & -0.2123 & 0.416225 \tabularnewline
8 & -0.081988 & -0.6957 & 0.24443 \tabularnewline
9 & 0.056641 & 0.4806 & 0.316124 \tabularnewline
10 & -0.065456 & -0.5554 & 0.290166 \tabularnewline
11 & 0.13502 & 1.1457 & 0.127859 \tabularnewline
12 & 0.109342 & 0.9278 & 0.178306 \tabularnewline
13 & 0.122732 & 1.0414 & 0.150583 \tabularnewline
14 & -0.048889 & -0.4148 & 0.339749 \tabularnewline
15 & -0.082075 & -0.6964 & 0.2442 \tabularnewline
16 & -0.046621 & -0.3956 & 0.346787 \tabularnewline
17 & -0.072058 & -0.6114 & 0.271419 \tabularnewline
18 & -0.07553 & -0.6409 & 0.261812 \tabularnewline
19 & -0.211239 & -1.7924 & 0.038633 \tabularnewline
20 & 0.031302 & 0.2656 & 0.39565 \tabularnewline
21 & 0.02971 & 0.2521 & 0.400841 \tabularnewline
22 & 0.178688 & 1.5162 & 0.066921 \tabularnewline
23 & 0.026413 & 0.2241 & 0.411647 \tabularnewline
24 & 0.082699 & 0.7017 & 0.242557 \tabularnewline
25 & 0.050142 & 0.4255 & 0.335881 \tabularnewline
26 & 0.064746 & 0.5494 & 0.292219 \tabularnewline
27 & 0.025602 & 0.2172 & 0.414317 \tabularnewline
28 & -0.128363 & -1.0892 & 0.13985 \tabularnewline
29 & -0.047466 & -0.4028 & 0.344157 \tabularnewline
30 & -0.049879 & -0.4232 & 0.336692 \tabularnewline
31 & 0.028165 & 0.239 & 0.405898 \tabularnewline
32 & -0.144379 & -1.2251 & 0.112265 \tabularnewline
33 & 0.119086 & 1.0105 & 0.157826 \tabularnewline
34 & 0.134767 & 1.1435 & 0.128302 \tabularnewline
35 & -0.094883 & -0.8051 & 0.211704 \tabularnewline
36 & 0.004789 & 0.0406 & 0.48385 \tabularnewline
37 & 0.074814 & 0.6348 & 0.263779 \tabularnewline
38 & -0.052366 & -0.4443 & 0.329064 \tabularnewline
39 & -0.035482 & -0.3011 & 0.382112 \tabularnewline
40 & 0.042593 & 0.3614 & 0.359425 \tabularnewline
41 & -0.074108 & -0.6288 & 0.265726 \tabularnewline
42 & -0.03993 & -0.3388 & 0.367866 \tabularnewline
43 & 0.022862 & 0.194 & 0.423365 \tabularnewline
44 & 0.013867 & 0.1177 & 0.45333 \tabularnewline
45 & -0.025794 & -0.2189 & 0.413686 \tabularnewline
46 & 0.018742 & 0.159 & 0.437045 \tabularnewline
47 & 0.064076 & 0.5437 & 0.294162 \tabularnewline
48 & 0.006125 & 0.052 & 0.479347 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74989&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]0.051856[/C][C]0.44[/C][C]0.330624[/C][/ROW]
[ROW][C]2[/C][C]-0.135933[/C][C]-1.1534[/C][C]0.126274[/C][/ROW]
[ROW][C]3[/C][C]0.051663[/C][C]0.4384[/C][C]0.331214[/C][/ROW]
[ROW][C]4[/C][C]0.087121[/C][C]0.7392[/C][C]0.23108[/C][/ROW]
[ROW][C]5[/C][C]-0.225065[/C][C]-1.9097[/C][C]0.030075[/C][/ROW]
[ROW][C]6[/C][C]-0.233492[/C][C]-1.9812[/C][C]0.025692[/C][/ROW]
[ROW][C]7[/C][C]-0.025023[/C][C]-0.2123[/C][C]0.416225[/C][/ROW]
[ROW][C]8[/C][C]-0.081988[/C][C]-0.6957[/C][C]0.24443[/C][/ROW]
[ROW][C]9[/C][C]0.056641[/C][C]0.4806[/C][C]0.316124[/C][/ROW]
[ROW][C]10[/C][C]-0.065456[/C][C]-0.5554[/C][C]0.290166[/C][/ROW]
[ROW][C]11[/C][C]0.13502[/C][C]1.1457[/C][C]0.127859[/C][/ROW]
[ROW][C]12[/C][C]0.109342[/C][C]0.9278[/C][C]0.178306[/C][/ROW]
[ROW][C]13[/C][C]0.122732[/C][C]1.0414[/C][C]0.150583[/C][/ROW]
[ROW][C]14[/C][C]-0.048889[/C][C]-0.4148[/C][C]0.339749[/C][/ROW]
[ROW][C]15[/C][C]-0.082075[/C][C]-0.6964[/C][C]0.2442[/C][/ROW]
[ROW][C]16[/C][C]-0.046621[/C][C]-0.3956[/C][C]0.346787[/C][/ROW]
[ROW][C]17[/C][C]-0.072058[/C][C]-0.6114[/C][C]0.271419[/C][/ROW]
[ROW][C]18[/C][C]-0.07553[/C][C]-0.6409[/C][C]0.261812[/C][/ROW]
[ROW][C]19[/C][C]-0.211239[/C][C]-1.7924[/C][C]0.038633[/C][/ROW]
[ROW][C]20[/C][C]0.031302[/C][C]0.2656[/C][C]0.39565[/C][/ROW]
[ROW][C]21[/C][C]0.02971[/C][C]0.2521[/C][C]0.400841[/C][/ROW]
[ROW][C]22[/C][C]0.178688[/C][C]1.5162[/C][C]0.066921[/C][/ROW]
[ROW][C]23[/C][C]0.026413[/C][C]0.2241[/C][C]0.411647[/C][/ROW]
[ROW][C]24[/C][C]0.082699[/C][C]0.7017[/C][C]0.242557[/C][/ROW]
[ROW][C]25[/C][C]0.050142[/C][C]0.4255[/C][C]0.335881[/C][/ROW]
[ROW][C]26[/C][C]0.064746[/C][C]0.5494[/C][C]0.292219[/C][/ROW]
[ROW][C]27[/C][C]0.025602[/C][C]0.2172[/C][C]0.414317[/C][/ROW]
[ROW][C]28[/C][C]-0.128363[/C][C]-1.0892[/C][C]0.13985[/C][/ROW]
[ROW][C]29[/C][C]-0.047466[/C][C]-0.4028[/C][C]0.344157[/C][/ROW]
[ROW][C]30[/C][C]-0.049879[/C][C]-0.4232[/C][C]0.336692[/C][/ROW]
[ROW][C]31[/C][C]0.028165[/C][C]0.239[/C][C]0.405898[/C][/ROW]
[ROW][C]32[/C][C]-0.144379[/C][C]-1.2251[/C][C]0.112265[/C][/ROW]
[ROW][C]33[/C][C]0.119086[/C][C]1.0105[/C][C]0.157826[/C][/ROW]
[ROW][C]34[/C][C]0.134767[/C][C]1.1435[/C][C]0.128302[/C][/ROW]
[ROW][C]35[/C][C]-0.094883[/C][C]-0.8051[/C][C]0.211704[/C][/ROW]
[ROW][C]36[/C][C]0.004789[/C][C]0.0406[/C][C]0.48385[/C][/ROW]
[ROW][C]37[/C][C]0.074814[/C][C]0.6348[/C][C]0.263779[/C][/ROW]
[ROW][C]38[/C][C]-0.052366[/C][C]-0.4443[/C][C]0.329064[/C][/ROW]
[ROW][C]39[/C][C]-0.035482[/C][C]-0.3011[/C][C]0.382112[/C][/ROW]
[ROW][C]40[/C][C]0.042593[/C][C]0.3614[/C][C]0.359425[/C][/ROW]
[ROW][C]41[/C][C]-0.074108[/C][C]-0.6288[/C][C]0.265726[/C][/ROW]
[ROW][C]42[/C][C]-0.03993[/C][C]-0.3388[/C][C]0.367866[/C][/ROW]
[ROW][C]43[/C][C]0.022862[/C][C]0.194[/C][C]0.423365[/C][/ROW]
[ROW][C]44[/C][C]0.013867[/C][C]0.1177[/C][C]0.45333[/C][/ROW]
[ROW][C]45[/C][C]-0.025794[/C][C]-0.2189[/C][C]0.413686[/C][/ROW]
[ROW][C]46[/C][C]0.018742[/C][C]0.159[/C][C]0.437045[/C][/ROW]
[ROW][C]47[/C][C]0.064076[/C][C]0.5437[/C][C]0.294162[/C][/ROW]
[ROW][C]48[/C][C]0.006125[/C][C]0.052[/C][C]0.479347[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74989&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74989&T=1

As an alternative you can also use a QR Code:  

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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0518560.440.330624
2-0.135933-1.15340.126274
30.0516630.43840.331214
40.0871210.73920.23108
5-0.225065-1.90970.030075
6-0.233492-1.98120.025692
7-0.025023-0.21230.416225
8-0.081988-0.69570.24443
90.0566410.48060.316124
10-0.065456-0.55540.290166
110.135021.14570.127859
120.1093420.92780.178306
130.1227321.04140.150583
14-0.048889-0.41480.339749
15-0.082075-0.69640.2442
16-0.046621-0.39560.346787
17-0.072058-0.61140.271419
18-0.07553-0.64090.261812
19-0.211239-1.79240.038633
200.0313020.26560.39565
210.029710.25210.400841
220.1786881.51620.066921
230.0264130.22410.411647
240.0826990.70170.242557
250.0501420.42550.335881
260.0647460.54940.292219
270.0256020.21720.414317
28-0.128363-1.08920.13985
29-0.047466-0.40280.344157
30-0.049879-0.42320.336692
310.0281650.2390.405898
32-0.144379-1.22510.112265
330.1190861.01050.157826
340.1347671.14350.128302
35-0.094883-0.80510.211704
360.0047890.04060.48385
370.0748140.63480.263779
38-0.052366-0.44430.329064
39-0.035482-0.30110.382112
400.0425930.36140.359425
41-0.074108-0.62880.265726
42-0.03993-0.33880.367866
430.0228620.1940.423365
440.0138670.11770.45333
45-0.025794-0.21890.413686
460.0187420.1590.437045
470.0640760.54370.294162
480.0061250.0520.479347







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0518560.440.330624
2-0.138996-1.17940.121056
30.0684010.58040.281728
40.062240.52810.299519
5-0.225068-1.90980.030073
6-0.20106-1.7060.046155
7-0.073662-0.6250.26696
8-0.132315-1.12270.132641
90.1138060.96570.168718
10-0.127043-1.0780.142318
110.0971670.82450.206193
120.0211760.17970.428953
130.0917280.77830.21946
14-0.052359-0.44430.329086
15-0.096165-0.8160.2086
16-0.083983-0.71260.239191
17-0.019399-0.16460.434857
18-0.031153-0.26430.396136
19-0.165672-1.40580.082047
20-0.026822-0.22760.410303
21-0.053803-0.45650.32469
220.1671931.41870.080154
23-0.009203-0.07810.468986
240.0017860.01520.493976
25-0.072856-0.61820.269195
260.0641990.54470.293806
270.0889530.75480.226418
28-0.011809-0.10020.46023
29-0.056684-0.4810.315995
300.0005590.00470.498113
310.0583860.49540.310905
32-0.042816-0.36330.358722
330.0881470.74790.228463
340.0171950.14590.442203
35-0.175137-1.48610.070811
360.0629970.53450.297306
37-7.5e-05-6e-040.499746
38-0.113447-0.96260.169478
390.1077920.91460.181714
40-0.022184-0.18820.425612
410.0631460.53580.296869
42-0.016533-0.14030.444411
43-0.005536-0.0470.481332
44-0.033326-0.28280.389079
45-0.000293-0.00250.499012
46-0.002811-0.02390.490517
470.0535140.45410.325567
48-0.040757-0.34580.365237

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.051856 & 0.44 & 0.330624 \tabularnewline
2 & -0.138996 & -1.1794 & 0.121056 \tabularnewline
3 & 0.068401 & 0.5804 & 0.281728 \tabularnewline
4 & 0.06224 & 0.5281 & 0.299519 \tabularnewline
5 & -0.225068 & -1.9098 & 0.030073 \tabularnewline
6 & -0.20106 & -1.706 & 0.046155 \tabularnewline
7 & -0.073662 & -0.625 & 0.26696 \tabularnewline
8 & -0.132315 & -1.1227 & 0.132641 \tabularnewline
9 & 0.113806 & 0.9657 & 0.168718 \tabularnewline
10 & -0.127043 & -1.078 & 0.142318 \tabularnewline
11 & 0.097167 & 0.8245 & 0.206193 \tabularnewline
12 & 0.021176 & 0.1797 & 0.428953 \tabularnewline
13 & 0.091728 & 0.7783 & 0.21946 \tabularnewline
14 & -0.052359 & -0.4443 & 0.329086 \tabularnewline
15 & -0.096165 & -0.816 & 0.2086 \tabularnewline
16 & -0.083983 & -0.7126 & 0.239191 \tabularnewline
17 & -0.019399 & -0.1646 & 0.434857 \tabularnewline
18 & -0.031153 & -0.2643 & 0.396136 \tabularnewline
19 & -0.165672 & -1.4058 & 0.082047 \tabularnewline
20 & -0.026822 & -0.2276 & 0.410303 \tabularnewline
21 & -0.053803 & -0.4565 & 0.32469 \tabularnewline
22 & 0.167193 & 1.4187 & 0.080154 \tabularnewline
23 & -0.009203 & -0.0781 & 0.468986 \tabularnewline
24 & 0.001786 & 0.0152 & 0.493976 \tabularnewline
25 & -0.072856 & -0.6182 & 0.269195 \tabularnewline
26 & 0.064199 & 0.5447 & 0.293806 \tabularnewline
27 & 0.088953 & 0.7548 & 0.226418 \tabularnewline
28 & -0.011809 & -0.1002 & 0.46023 \tabularnewline
29 & -0.056684 & -0.481 & 0.315995 \tabularnewline
30 & 0.000559 & 0.0047 & 0.498113 \tabularnewline
31 & 0.058386 & 0.4954 & 0.310905 \tabularnewline
32 & -0.042816 & -0.3633 & 0.358722 \tabularnewline
33 & 0.088147 & 0.7479 & 0.228463 \tabularnewline
34 & 0.017195 & 0.1459 & 0.442203 \tabularnewline
35 & -0.175137 & -1.4861 & 0.070811 \tabularnewline
36 & 0.062997 & 0.5345 & 0.297306 \tabularnewline
37 & -7.5e-05 & -6e-04 & 0.499746 \tabularnewline
38 & -0.113447 & -0.9626 & 0.169478 \tabularnewline
39 & 0.107792 & 0.9146 & 0.181714 \tabularnewline
40 & -0.022184 & -0.1882 & 0.425612 \tabularnewline
41 & 0.063146 & 0.5358 & 0.296869 \tabularnewline
42 & -0.016533 & -0.1403 & 0.444411 \tabularnewline
43 & -0.005536 & -0.047 & 0.481332 \tabularnewline
44 & -0.033326 & -0.2828 & 0.389079 \tabularnewline
45 & -0.000293 & -0.0025 & 0.499012 \tabularnewline
46 & -0.002811 & -0.0239 & 0.490517 \tabularnewline
47 & 0.053514 & 0.4541 & 0.325567 \tabularnewline
48 & -0.040757 & -0.3458 & 0.365237 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74989&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]0.051856[/C][C]0.44[/C][C]0.330624[/C][/ROW]
[ROW][C]2[/C][C]-0.138996[/C][C]-1.1794[/C][C]0.121056[/C][/ROW]
[ROW][C]3[/C][C]0.068401[/C][C]0.5804[/C][C]0.281728[/C][/ROW]
[ROW][C]4[/C][C]0.06224[/C][C]0.5281[/C][C]0.299519[/C][/ROW]
[ROW][C]5[/C][C]-0.225068[/C][C]-1.9098[/C][C]0.030073[/C][/ROW]
[ROW][C]6[/C][C]-0.20106[/C][C]-1.706[/C][C]0.046155[/C][/ROW]
[ROW][C]7[/C][C]-0.073662[/C][C]-0.625[/C][C]0.26696[/C][/ROW]
[ROW][C]8[/C][C]-0.132315[/C][C]-1.1227[/C][C]0.132641[/C][/ROW]
[ROW][C]9[/C][C]0.113806[/C][C]0.9657[/C][C]0.168718[/C][/ROW]
[ROW][C]10[/C][C]-0.127043[/C][C]-1.078[/C][C]0.142318[/C][/ROW]
[ROW][C]11[/C][C]0.097167[/C][C]0.8245[/C][C]0.206193[/C][/ROW]
[ROW][C]12[/C][C]0.021176[/C][C]0.1797[/C][C]0.428953[/C][/ROW]
[ROW][C]13[/C][C]0.091728[/C][C]0.7783[/C][C]0.21946[/C][/ROW]
[ROW][C]14[/C][C]-0.052359[/C][C]-0.4443[/C][C]0.329086[/C][/ROW]
[ROW][C]15[/C][C]-0.096165[/C][C]-0.816[/C][C]0.2086[/C][/ROW]
[ROW][C]16[/C][C]-0.083983[/C][C]-0.7126[/C][C]0.239191[/C][/ROW]
[ROW][C]17[/C][C]-0.019399[/C][C]-0.1646[/C][C]0.434857[/C][/ROW]
[ROW][C]18[/C][C]-0.031153[/C][C]-0.2643[/C][C]0.396136[/C][/ROW]
[ROW][C]19[/C][C]-0.165672[/C][C]-1.4058[/C][C]0.082047[/C][/ROW]
[ROW][C]20[/C][C]-0.026822[/C][C]-0.2276[/C][C]0.410303[/C][/ROW]
[ROW][C]21[/C][C]-0.053803[/C][C]-0.4565[/C][C]0.32469[/C][/ROW]
[ROW][C]22[/C][C]0.167193[/C][C]1.4187[/C][C]0.080154[/C][/ROW]
[ROW][C]23[/C][C]-0.009203[/C][C]-0.0781[/C][C]0.468986[/C][/ROW]
[ROW][C]24[/C][C]0.001786[/C][C]0.0152[/C][C]0.493976[/C][/ROW]
[ROW][C]25[/C][C]-0.072856[/C][C]-0.6182[/C][C]0.269195[/C][/ROW]
[ROW][C]26[/C][C]0.064199[/C][C]0.5447[/C][C]0.293806[/C][/ROW]
[ROW][C]27[/C][C]0.088953[/C][C]0.7548[/C][C]0.226418[/C][/ROW]
[ROW][C]28[/C][C]-0.011809[/C][C]-0.1002[/C][C]0.46023[/C][/ROW]
[ROW][C]29[/C][C]-0.056684[/C][C]-0.481[/C][C]0.315995[/C][/ROW]
[ROW][C]30[/C][C]0.000559[/C][C]0.0047[/C][C]0.498113[/C][/ROW]
[ROW][C]31[/C][C]0.058386[/C][C]0.4954[/C][C]0.310905[/C][/ROW]
[ROW][C]32[/C][C]-0.042816[/C][C]-0.3633[/C][C]0.358722[/C][/ROW]
[ROW][C]33[/C][C]0.088147[/C][C]0.7479[/C][C]0.228463[/C][/ROW]
[ROW][C]34[/C][C]0.017195[/C][C]0.1459[/C][C]0.442203[/C][/ROW]
[ROW][C]35[/C][C]-0.175137[/C][C]-1.4861[/C][C]0.070811[/C][/ROW]
[ROW][C]36[/C][C]0.062997[/C][C]0.5345[/C][C]0.297306[/C][/ROW]
[ROW][C]37[/C][C]-7.5e-05[/C][C]-6e-04[/C][C]0.499746[/C][/ROW]
[ROW][C]38[/C][C]-0.113447[/C][C]-0.9626[/C][C]0.169478[/C][/ROW]
[ROW][C]39[/C][C]0.107792[/C][C]0.9146[/C][C]0.181714[/C][/ROW]
[ROW][C]40[/C][C]-0.022184[/C][C]-0.1882[/C][C]0.425612[/C][/ROW]
[ROW][C]41[/C][C]0.063146[/C][C]0.5358[/C][C]0.296869[/C][/ROW]
[ROW][C]42[/C][C]-0.016533[/C][C]-0.1403[/C][C]0.444411[/C][/ROW]
[ROW][C]43[/C][C]-0.005536[/C][C]-0.047[/C][C]0.481332[/C][/ROW]
[ROW][C]44[/C][C]-0.033326[/C][C]-0.2828[/C][C]0.389079[/C][/ROW]
[ROW][C]45[/C][C]-0.000293[/C][C]-0.0025[/C][C]0.499012[/C][/ROW]
[ROW][C]46[/C][C]-0.002811[/C][C]-0.0239[/C][C]0.490517[/C][/ROW]
[ROW][C]47[/C][C]0.053514[/C][C]0.4541[/C][C]0.325567[/C][/ROW]
[ROW][C]48[/C][C]-0.040757[/C][C]-0.3458[/C][C]0.365237[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74989&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74989&T=2

As an alternative you can also use a QR Code:  

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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0518560.440.330624
2-0.138996-1.17940.121056
30.0684010.58040.281728
40.062240.52810.299519
5-0.225068-1.90980.030073
6-0.20106-1.7060.046155
7-0.073662-0.6250.26696
8-0.132315-1.12270.132641
90.1138060.96570.168718
10-0.127043-1.0780.142318
110.0971670.82450.206193
120.0211760.17970.428953
130.0917280.77830.21946
14-0.052359-0.44430.329086
15-0.096165-0.8160.2086
16-0.083983-0.71260.239191
17-0.019399-0.16460.434857
18-0.031153-0.26430.396136
19-0.165672-1.40580.082047
20-0.026822-0.22760.410303
21-0.053803-0.45650.32469
220.1671931.41870.080154
23-0.009203-0.07810.468986
240.0017860.01520.493976
25-0.072856-0.61820.269195
260.0641990.54470.293806
270.0889530.75480.226418
28-0.011809-0.10020.46023
29-0.056684-0.4810.315995
300.0005590.00470.498113
310.0583860.49540.310905
32-0.042816-0.36330.358722
330.0881470.74790.228463
340.0171950.14590.442203
35-0.175137-1.48610.070811
360.0629970.53450.297306
37-7.5e-05-6e-040.499746
38-0.113447-0.96260.169478
390.1077920.91460.181714
40-0.022184-0.18820.425612
410.0631460.53580.296869
42-0.016533-0.14030.444411
43-0.005536-0.0470.481332
44-0.033326-0.28280.389079
45-0.000293-0.00250.499012
46-0.002811-0.02390.490517
470.0535140.45410.325567
48-0.040757-0.34580.365237



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 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')