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Author's title

Autocorrelatie (trend gezuiverd)- gemiddelde bioscoopprijs (Jeroen Callebau...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 06 Dec 2008 08:53:42 -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/Dec/06/t1228579073weiby2gu4qisl25.htm/, Retrieved Thu, 31 Oct 2024 23:22:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29718, Retrieved Thu, 31 Oct 2024 23:22:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact235
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2008-12-06 09:21:55] [74be16979710d4c4e7c6647856088456]
-   PD    [(Partial) Autocorrelation Function] [Autocorrelatie (t...] [2008-12-06 15:53:42] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
5.6
5.6
5.6
5.6
5.6
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.82
5.82
5.95
5.95
5.95
5.95
5.95
5.95
6.02
6.02
6.05
6.05
6.05
6.12
6.12
6.12
6.12
6.12
6.12
6.12
6.12
6.17
6.17
6.17
6.17
6.17
6.28
6.27
6.28
6.28
6.27
6.27
6.28
6.59
6.59
6.59
6.59
6.59
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.79
6.79
6.79




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29718&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29718&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29718&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.105714-0.89080.188033
20.0114970.09690.461548
3-0.109637-0.92380.179355
4-0.111834-0.94230.174609
50.0479090.40370.343827
6-0.062159-0.52380.301037
70.0954310.80410.212007
8-0.004831-0.04070.483822
9-0.049715-0.41890.338274
10-0.080755-0.68050.249215
110.0035750.03010.488026
120.0025320.02130.491521
130.0112940.09520.462225
14-0.105038-0.88510.189554
15-0.098583-0.83070.204472
16-0.072636-0.6120.271232
17-0.02234-0.18820.425612
18-0.048765-0.41090.341191
19-0.046925-0.39540.346869
200.0331970.27970.390251
21-0.052643-0.44360.329347
220.2213171.86480.033168
23-0.029504-0.24860.402193
24-0.004573-0.03850.484687
250.0618510.52120.301937
260.0392770.3310.370827
27-0.057678-0.4860.31423
28-0.061996-0.52240.301513
290.0390630.32910.371506
30-0.027929-0.23530.407314
310.1667671.40520.08216
32-0.048036-0.40480.343435
330.2099261.76890.040605
34-0.013782-0.11610.453939
35-0.012299-0.10360.458877
36-0.032379-0.27280.392889
37-0.051085-0.43050.334085
38-0.022133-0.18650.426295
39-0.062402-0.52580.30033
40-0.049349-0.41580.339396
41-0.047899-0.40360.343859
420.1371941.1560.125775
43-0.054211-0.45680.324609
44-0.056798-0.47860.316851
45-0.023962-0.20190.420284
46-0.052304-0.44070.330376
470.0568060.47870.316827
48-0.022673-0.1910.424517

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.105714 & -0.8908 & 0.188033 \tabularnewline
2 & 0.011497 & 0.0969 & 0.461548 \tabularnewline
3 & -0.109637 & -0.9238 & 0.179355 \tabularnewline
4 & -0.111834 & -0.9423 & 0.174609 \tabularnewline
5 & 0.047909 & 0.4037 & 0.343827 \tabularnewline
6 & -0.062159 & -0.5238 & 0.301037 \tabularnewline
7 & 0.095431 & 0.8041 & 0.212007 \tabularnewline
8 & -0.004831 & -0.0407 & 0.483822 \tabularnewline
9 & -0.049715 & -0.4189 & 0.338274 \tabularnewline
10 & -0.080755 & -0.6805 & 0.249215 \tabularnewline
11 & 0.003575 & 0.0301 & 0.488026 \tabularnewline
12 & 0.002532 & 0.0213 & 0.491521 \tabularnewline
13 & 0.011294 & 0.0952 & 0.462225 \tabularnewline
14 & -0.105038 & -0.8851 & 0.189554 \tabularnewline
15 & -0.098583 & -0.8307 & 0.204472 \tabularnewline
16 & -0.072636 & -0.612 & 0.271232 \tabularnewline
17 & -0.02234 & -0.1882 & 0.425612 \tabularnewline
18 & -0.048765 & -0.4109 & 0.341191 \tabularnewline
19 & -0.046925 & -0.3954 & 0.346869 \tabularnewline
20 & 0.033197 & 0.2797 & 0.390251 \tabularnewline
21 & -0.052643 & -0.4436 & 0.329347 \tabularnewline
22 & 0.221317 & 1.8648 & 0.033168 \tabularnewline
23 & -0.029504 & -0.2486 & 0.402193 \tabularnewline
24 & -0.004573 & -0.0385 & 0.484687 \tabularnewline
25 & 0.061851 & 0.5212 & 0.301937 \tabularnewline
26 & 0.039277 & 0.331 & 0.370827 \tabularnewline
27 & -0.057678 & -0.486 & 0.31423 \tabularnewline
28 & -0.061996 & -0.5224 & 0.301513 \tabularnewline
29 & 0.039063 & 0.3291 & 0.371506 \tabularnewline
30 & -0.027929 & -0.2353 & 0.407314 \tabularnewline
31 & 0.166767 & 1.4052 & 0.08216 \tabularnewline
32 & -0.048036 & -0.4048 & 0.343435 \tabularnewline
33 & 0.209926 & 1.7689 & 0.040605 \tabularnewline
34 & -0.013782 & -0.1161 & 0.453939 \tabularnewline
35 & -0.012299 & -0.1036 & 0.458877 \tabularnewline
36 & -0.032379 & -0.2728 & 0.392889 \tabularnewline
37 & -0.051085 & -0.4305 & 0.334085 \tabularnewline
38 & -0.022133 & -0.1865 & 0.426295 \tabularnewline
39 & -0.062402 & -0.5258 & 0.30033 \tabularnewline
40 & -0.049349 & -0.4158 & 0.339396 \tabularnewline
41 & -0.047899 & -0.4036 & 0.343859 \tabularnewline
42 & 0.137194 & 1.156 & 0.125775 \tabularnewline
43 & -0.054211 & -0.4568 & 0.324609 \tabularnewline
44 & -0.056798 & -0.4786 & 0.316851 \tabularnewline
45 & -0.023962 & -0.2019 & 0.420284 \tabularnewline
46 & -0.052304 & -0.4407 & 0.330376 \tabularnewline
47 & 0.056806 & 0.4787 & 0.316827 \tabularnewline
48 & -0.022673 & -0.191 & 0.424517 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29718&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]-0.105714[/C][C]-0.8908[/C][C]0.188033[/C][/ROW]
[ROW][C]2[/C][C]0.011497[/C][C]0.0969[/C][C]0.461548[/C][/ROW]
[ROW][C]3[/C][C]-0.109637[/C][C]-0.9238[/C][C]0.179355[/C][/ROW]
[ROW][C]4[/C][C]-0.111834[/C][C]-0.9423[/C][C]0.174609[/C][/ROW]
[ROW][C]5[/C][C]0.047909[/C][C]0.4037[/C][C]0.343827[/C][/ROW]
[ROW][C]6[/C][C]-0.062159[/C][C]-0.5238[/C][C]0.301037[/C][/ROW]
[ROW][C]7[/C][C]0.095431[/C][C]0.8041[/C][C]0.212007[/C][/ROW]
[ROW][C]8[/C][C]-0.004831[/C][C]-0.0407[/C][C]0.483822[/C][/ROW]
[ROW][C]9[/C][C]-0.049715[/C][C]-0.4189[/C][C]0.338274[/C][/ROW]
[ROW][C]10[/C][C]-0.080755[/C][C]-0.6805[/C][C]0.249215[/C][/ROW]
[ROW][C]11[/C][C]0.003575[/C][C]0.0301[/C][C]0.488026[/C][/ROW]
[ROW][C]12[/C][C]0.002532[/C][C]0.0213[/C][C]0.491521[/C][/ROW]
[ROW][C]13[/C][C]0.011294[/C][C]0.0952[/C][C]0.462225[/C][/ROW]
[ROW][C]14[/C][C]-0.105038[/C][C]-0.8851[/C][C]0.189554[/C][/ROW]
[ROW][C]15[/C][C]-0.098583[/C][C]-0.8307[/C][C]0.204472[/C][/ROW]
[ROW][C]16[/C][C]-0.072636[/C][C]-0.612[/C][C]0.271232[/C][/ROW]
[ROW][C]17[/C][C]-0.02234[/C][C]-0.1882[/C][C]0.425612[/C][/ROW]
[ROW][C]18[/C][C]-0.048765[/C][C]-0.4109[/C][C]0.341191[/C][/ROW]
[ROW][C]19[/C][C]-0.046925[/C][C]-0.3954[/C][C]0.346869[/C][/ROW]
[ROW][C]20[/C][C]0.033197[/C][C]0.2797[/C][C]0.390251[/C][/ROW]
[ROW][C]21[/C][C]-0.052643[/C][C]-0.4436[/C][C]0.329347[/C][/ROW]
[ROW][C]22[/C][C]0.221317[/C][C]1.8648[/C][C]0.033168[/C][/ROW]
[ROW][C]23[/C][C]-0.029504[/C][C]-0.2486[/C][C]0.402193[/C][/ROW]
[ROW][C]24[/C][C]-0.004573[/C][C]-0.0385[/C][C]0.484687[/C][/ROW]
[ROW][C]25[/C][C]0.061851[/C][C]0.5212[/C][C]0.301937[/C][/ROW]
[ROW][C]26[/C][C]0.039277[/C][C]0.331[/C][C]0.370827[/C][/ROW]
[ROW][C]27[/C][C]-0.057678[/C][C]-0.486[/C][C]0.31423[/C][/ROW]
[ROW][C]28[/C][C]-0.061996[/C][C]-0.5224[/C][C]0.301513[/C][/ROW]
[ROW][C]29[/C][C]0.039063[/C][C]0.3291[/C][C]0.371506[/C][/ROW]
[ROW][C]30[/C][C]-0.027929[/C][C]-0.2353[/C][C]0.407314[/C][/ROW]
[ROW][C]31[/C][C]0.166767[/C][C]1.4052[/C][C]0.08216[/C][/ROW]
[ROW][C]32[/C][C]-0.048036[/C][C]-0.4048[/C][C]0.343435[/C][/ROW]
[ROW][C]33[/C][C]0.209926[/C][C]1.7689[/C][C]0.040605[/C][/ROW]
[ROW][C]34[/C][C]-0.013782[/C][C]-0.1161[/C][C]0.453939[/C][/ROW]
[ROW][C]35[/C][C]-0.012299[/C][C]-0.1036[/C][C]0.458877[/C][/ROW]
[ROW][C]36[/C][C]-0.032379[/C][C]-0.2728[/C][C]0.392889[/C][/ROW]
[ROW][C]37[/C][C]-0.051085[/C][C]-0.4305[/C][C]0.334085[/C][/ROW]
[ROW][C]38[/C][C]-0.022133[/C][C]-0.1865[/C][C]0.426295[/C][/ROW]
[ROW][C]39[/C][C]-0.062402[/C][C]-0.5258[/C][C]0.30033[/C][/ROW]
[ROW][C]40[/C][C]-0.049349[/C][C]-0.4158[/C][C]0.339396[/C][/ROW]
[ROW][C]41[/C][C]-0.047899[/C][C]-0.4036[/C][C]0.343859[/C][/ROW]
[ROW][C]42[/C][C]0.137194[/C][C]1.156[/C][C]0.125775[/C][/ROW]
[ROW][C]43[/C][C]-0.054211[/C][C]-0.4568[/C][C]0.324609[/C][/ROW]
[ROW][C]44[/C][C]-0.056798[/C][C]-0.4786[/C][C]0.316851[/C][/ROW]
[ROW][C]45[/C][C]-0.023962[/C][C]-0.2019[/C][C]0.420284[/C][/ROW]
[ROW][C]46[/C][C]-0.052304[/C][C]-0.4407[/C][C]0.330376[/C][/ROW]
[ROW][C]47[/C][C]0.056806[/C][C]0.4787[/C][C]0.316827[/C][/ROW]
[ROW][C]48[/C][C]-0.022673[/C][C]-0.191[/C][C]0.424517[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29718&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29718&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
1-0.105714-0.89080.188033
20.0114970.09690.461548
3-0.109637-0.92380.179355
4-0.111834-0.94230.174609
50.0479090.40370.343827
6-0.062159-0.52380.301037
70.0954310.80410.212007
8-0.004831-0.04070.483822
9-0.049715-0.41890.338274
10-0.080755-0.68050.249215
110.0035750.03010.488026
120.0025320.02130.491521
130.0112940.09520.462225
14-0.105038-0.88510.189554
15-0.098583-0.83070.204472
16-0.072636-0.6120.271232
17-0.02234-0.18820.425612
18-0.048765-0.41090.341191
19-0.046925-0.39540.346869
200.0331970.27970.390251
21-0.052643-0.44360.329347
220.2213171.86480.033168
23-0.029504-0.24860.402193
24-0.004573-0.03850.484687
250.0618510.52120.301937
260.0392770.3310.370827
27-0.057678-0.4860.31423
28-0.061996-0.52240.301513
290.0390630.32910.371506
30-0.027929-0.23530.407314
310.1667671.40520.08216
32-0.048036-0.40480.343435
330.2099261.76890.040605
34-0.013782-0.11610.453939
35-0.012299-0.10360.458877
36-0.032379-0.27280.392889
37-0.051085-0.43050.334085
38-0.022133-0.18650.426295
39-0.062402-0.52580.30033
40-0.049349-0.41580.339396
41-0.047899-0.40360.343859
420.1371941.1560.125775
43-0.054211-0.45680.324609
44-0.056798-0.47860.316851
45-0.023962-0.20190.420284
46-0.052304-0.44070.330376
470.0568060.47870.316827
48-0.022673-0.1910.424517







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.105714-0.89080.188033
20.0003250.00270.49891
3-0.109613-0.92360.179408
4-0.138058-1.16330.124302
50.0206930.17440.431038
6-0.070463-0.59370.277291
70.0543150.45770.324294
80.0043840.03690.485317
9-0.058495-0.49290.311806
10-0.095692-0.80630.211376
110.0050460.04250.483102
12-0.020743-0.17480.430873
13-0.015761-0.13280.447361
14-0.13537-1.14070.128924
15-0.141156-1.18940.119122
16-0.124147-1.04610.149536
17-0.078397-0.66060.255508
18-0.150728-1.27010.104105
19-0.165903-1.39790.083244
20-0.091745-0.77310.221027
21-0.148534-1.25160.107417
220.1353281.14030.128998
23-0.037841-0.31890.375388
24-0.098359-0.82880.205001
250.0291740.24580.403262
260.0856090.72140.23653
27-0.120635-1.01650.156424
28-0.124425-1.04840.148999
29-0.081645-0.6880.246862
30-0.16528-1.39270.084032
310.0666850.56190.287977
32-0.093257-0.78580.217301
330.0992590.83640.202877
340.013210.11130.455844
350.0353010.29750.383495
360.0277410.23380.407924
370.0583010.49130.312381
38-0.060426-0.50920.306111
39-0.052314-0.44080.330345
40-0.050031-0.42160.337308
41-0.066355-0.55910.288921
420.1099520.92650.17867
43-0.012813-0.1080.457163
44-0.162959-1.37310.087019
45-0.016448-0.13860.44508
46-0.009735-0.0820.467426
470.0318830.26870.394488
48-0.009538-0.08040.468086

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.105714 & -0.8908 & 0.188033 \tabularnewline
2 & 0.000325 & 0.0027 & 0.49891 \tabularnewline
3 & -0.109613 & -0.9236 & 0.179408 \tabularnewline
4 & -0.138058 & -1.1633 & 0.124302 \tabularnewline
5 & 0.020693 & 0.1744 & 0.431038 \tabularnewline
6 & -0.070463 & -0.5937 & 0.277291 \tabularnewline
7 & 0.054315 & 0.4577 & 0.324294 \tabularnewline
8 & 0.004384 & 0.0369 & 0.485317 \tabularnewline
9 & -0.058495 & -0.4929 & 0.311806 \tabularnewline
10 & -0.095692 & -0.8063 & 0.211376 \tabularnewline
11 & 0.005046 & 0.0425 & 0.483102 \tabularnewline
12 & -0.020743 & -0.1748 & 0.430873 \tabularnewline
13 & -0.015761 & -0.1328 & 0.447361 \tabularnewline
14 & -0.13537 & -1.1407 & 0.128924 \tabularnewline
15 & -0.141156 & -1.1894 & 0.119122 \tabularnewline
16 & -0.124147 & -1.0461 & 0.149536 \tabularnewline
17 & -0.078397 & -0.6606 & 0.255508 \tabularnewline
18 & -0.150728 & -1.2701 & 0.104105 \tabularnewline
19 & -0.165903 & -1.3979 & 0.083244 \tabularnewline
20 & -0.091745 & -0.7731 & 0.221027 \tabularnewline
21 & -0.148534 & -1.2516 & 0.107417 \tabularnewline
22 & 0.135328 & 1.1403 & 0.128998 \tabularnewline
23 & -0.037841 & -0.3189 & 0.375388 \tabularnewline
24 & -0.098359 & -0.8288 & 0.205001 \tabularnewline
25 & 0.029174 & 0.2458 & 0.403262 \tabularnewline
26 & 0.085609 & 0.7214 & 0.23653 \tabularnewline
27 & -0.120635 & -1.0165 & 0.156424 \tabularnewline
28 & -0.124425 & -1.0484 & 0.148999 \tabularnewline
29 & -0.081645 & -0.688 & 0.246862 \tabularnewline
30 & -0.16528 & -1.3927 & 0.084032 \tabularnewline
31 & 0.066685 & 0.5619 & 0.287977 \tabularnewline
32 & -0.093257 & -0.7858 & 0.217301 \tabularnewline
33 & 0.099259 & 0.8364 & 0.202877 \tabularnewline
34 & 0.01321 & 0.1113 & 0.455844 \tabularnewline
35 & 0.035301 & 0.2975 & 0.383495 \tabularnewline
36 & 0.027741 & 0.2338 & 0.407924 \tabularnewline
37 & 0.058301 & 0.4913 & 0.312381 \tabularnewline
38 & -0.060426 & -0.5092 & 0.306111 \tabularnewline
39 & -0.052314 & -0.4408 & 0.330345 \tabularnewline
40 & -0.050031 & -0.4216 & 0.337308 \tabularnewline
41 & -0.066355 & -0.5591 & 0.288921 \tabularnewline
42 & 0.109952 & 0.9265 & 0.17867 \tabularnewline
43 & -0.012813 & -0.108 & 0.457163 \tabularnewline
44 & -0.162959 & -1.3731 & 0.087019 \tabularnewline
45 & -0.016448 & -0.1386 & 0.44508 \tabularnewline
46 & -0.009735 & -0.082 & 0.467426 \tabularnewline
47 & 0.031883 & 0.2687 & 0.394488 \tabularnewline
48 & -0.009538 & -0.0804 & 0.468086 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29718&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]-0.105714[/C][C]-0.8908[/C][C]0.188033[/C][/ROW]
[ROW][C]2[/C][C]0.000325[/C][C]0.0027[/C][C]0.49891[/C][/ROW]
[ROW][C]3[/C][C]-0.109613[/C][C]-0.9236[/C][C]0.179408[/C][/ROW]
[ROW][C]4[/C][C]-0.138058[/C][C]-1.1633[/C][C]0.124302[/C][/ROW]
[ROW][C]5[/C][C]0.020693[/C][C]0.1744[/C][C]0.431038[/C][/ROW]
[ROW][C]6[/C][C]-0.070463[/C][C]-0.5937[/C][C]0.277291[/C][/ROW]
[ROW][C]7[/C][C]0.054315[/C][C]0.4577[/C][C]0.324294[/C][/ROW]
[ROW][C]8[/C][C]0.004384[/C][C]0.0369[/C][C]0.485317[/C][/ROW]
[ROW][C]9[/C][C]-0.058495[/C][C]-0.4929[/C][C]0.311806[/C][/ROW]
[ROW][C]10[/C][C]-0.095692[/C][C]-0.8063[/C][C]0.211376[/C][/ROW]
[ROW][C]11[/C][C]0.005046[/C][C]0.0425[/C][C]0.483102[/C][/ROW]
[ROW][C]12[/C][C]-0.020743[/C][C]-0.1748[/C][C]0.430873[/C][/ROW]
[ROW][C]13[/C][C]-0.015761[/C][C]-0.1328[/C][C]0.447361[/C][/ROW]
[ROW][C]14[/C][C]-0.13537[/C][C]-1.1407[/C][C]0.128924[/C][/ROW]
[ROW][C]15[/C][C]-0.141156[/C][C]-1.1894[/C][C]0.119122[/C][/ROW]
[ROW][C]16[/C][C]-0.124147[/C][C]-1.0461[/C][C]0.149536[/C][/ROW]
[ROW][C]17[/C][C]-0.078397[/C][C]-0.6606[/C][C]0.255508[/C][/ROW]
[ROW][C]18[/C][C]-0.150728[/C][C]-1.2701[/C][C]0.104105[/C][/ROW]
[ROW][C]19[/C][C]-0.165903[/C][C]-1.3979[/C][C]0.083244[/C][/ROW]
[ROW][C]20[/C][C]-0.091745[/C][C]-0.7731[/C][C]0.221027[/C][/ROW]
[ROW][C]21[/C][C]-0.148534[/C][C]-1.2516[/C][C]0.107417[/C][/ROW]
[ROW][C]22[/C][C]0.135328[/C][C]1.1403[/C][C]0.128998[/C][/ROW]
[ROW][C]23[/C][C]-0.037841[/C][C]-0.3189[/C][C]0.375388[/C][/ROW]
[ROW][C]24[/C][C]-0.098359[/C][C]-0.8288[/C][C]0.205001[/C][/ROW]
[ROW][C]25[/C][C]0.029174[/C][C]0.2458[/C][C]0.403262[/C][/ROW]
[ROW][C]26[/C][C]0.085609[/C][C]0.7214[/C][C]0.23653[/C][/ROW]
[ROW][C]27[/C][C]-0.120635[/C][C]-1.0165[/C][C]0.156424[/C][/ROW]
[ROW][C]28[/C][C]-0.124425[/C][C]-1.0484[/C][C]0.148999[/C][/ROW]
[ROW][C]29[/C][C]-0.081645[/C][C]-0.688[/C][C]0.246862[/C][/ROW]
[ROW][C]30[/C][C]-0.16528[/C][C]-1.3927[/C][C]0.084032[/C][/ROW]
[ROW][C]31[/C][C]0.066685[/C][C]0.5619[/C][C]0.287977[/C][/ROW]
[ROW][C]32[/C][C]-0.093257[/C][C]-0.7858[/C][C]0.217301[/C][/ROW]
[ROW][C]33[/C][C]0.099259[/C][C]0.8364[/C][C]0.202877[/C][/ROW]
[ROW][C]34[/C][C]0.01321[/C][C]0.1113[/C][C]0.455844[/C][/ROW]
[ROW][C]35[/C][C]0.035301[/C][C]0.2975[/C][C]0.383495[/C][/ROW]
[ROW][C]36[/C][C]0.027741[/C][C]0.2338[/C][C]0.407924[/C][/ROW]
[ROW][C]37[/C][C]0.058301[/C][C]0.4913[/C][C]0.312381[/C][/ROW]
[ROW][C]38[/C][C]-0.060426[/C][C]-0.5092[/C][C]0.306111[/C][/ROW]
[ROW][C]39[/C][C]-0.052314[/C][C]-0.4408[/C][C]0.330345[/C][/ROW]
[ROW][C]40[/C][C]-0.050031[/C][C]-0.4216[/C][C]0.337308[/C][/ROW]
[ROW][C]41[/C][C]-0.066355[/C][C]-0.5591[/C][C]0.288921[/C][/ROW]
[ROW][C]42[/C][C]0.109952[/C][C]0.9265[/C][C]0.17867[/C][/ROW]
[ROW][C]43[/C][C]-0.012813[/C][C]-0.108[/C][C]0.457163[/C][/ROW]
[ROW][C]44[/C][C]-0.162959[/C][C]-1.3731[/C][C]0.087019[/C][/ROW]
[ROW][C]45[/C][C]-0.016448[/C][C]-0.1386[/C][C]0.44508[/C][/ROW]
[ROW][C]46[/C][C]-0.009735[/C][C]-0.082[/C][C]0.467426[/C][/ROW]
[ROW][C]47[/C][C]0.031883[/C][C]0.2687[/C][C]0.394488[/C][/ROW]
[ROW][C]48[/C][C]-0.009538[/C][C]-0.0804[/C][C]0.468086[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29718&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29718&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
1-0.105714-0.89080.188033
20.0003250.00270.49891
3-0.109613-0.92360.179408
4-0.138058-1.16330.124302
50.0206930.17440.431038
6-0.070463-0.59370.277291
70.0543150.45770.324294
80.0043840.03690.485317
9-0.058495-0.49290.311806
10-0.095692-0.80630.211376
110.0050460.04250.483102
12-0.020743-0.17480.430873
13-0.015761-0.13280.447361
14-0.13537-1.14070.128924
15-0.141156-1.18940.119122
16-0.124147-1.04610.149536
17-0.078397-0.66060.255508
18-0.150728-1.27010.104105
19-0.165903-1.39790.083244
20-0.091745-0.77310.221027
21-0.148534-1.25160.107417
220.1353281.14030.128998
23-0.037841-0.31890.375388
24-0.098359-0.82880.205001
250.0291740.24580.403262
260.0856090.72140.23653
27-0.120635-1.01650.156424
28-0.124425-1.04840.148999
29-0.081645-0.6880.246862
30-0.16528-1.39270.084032
310.0666850.56190.287977
32-0.093257-0.78580.217301
330.0992590.83640.202877
340.013210.11130.455844
350.0353010.29750.383495
360.0277410.23380.407924
370.0583010.49130.312381
38-0.060426-0.50920.306111
39-0.052314-0.44080.330345
40-0.050031-0.42160.337308
41-0.066355-0.55910.288921
420.1099520.92650.17867
43-0.012813-0.1080.457163
44-0.162959-1.37310.087019
45-0.016448-0.13860.44508
46-0.009735-0.0820.467426
470.0318830.26870.394488
48-0.009538-0.08040.468086



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 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')