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Author's title

trend autocorrelatie functie - nieuwe geregistreerde domeinnamen - Dorien D...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 09 May 2009 03:44:27 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/09/t1241862311qaxuj6xtiyz2ik8.htm/, Retrieved Sun, 05 May 2024 16:43:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39675, Retrieved Sun, 05 May 2024 16:43:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [trend autocorrela...] [2009-05-09 09:44:27] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
8166
2322
2924
5209
5597
5616
5764
5854
6019
6047
6082
6251
6576
6820
7024
7102
7107
7237
7630
7842
8086
8201
8323
9016
9077
9115
9230
9535
9565
9807
9815
9999
10176
10416
10439
10737
10790
11196
11221
11340
11356
11772
11836
11926
12013
12132
12178
12382
12448
12543
12662
12692
12767
13136
13145
13330
13381
13533
14176
14314
14444
15092
15130
15550
15557
15874
15892
16364
16379
16668
16713
16830
17368
17808
17846
18137
18504
18898
18938
19139
19573
19796
19845
21461




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39675&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39675&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39675&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.041395-0.37710.353522
2-0.282094-2.570.005978
3-0.02531-0.23060.409101
40.0294750.26850.394478
5-0.001613-0.01470.494154
60.0180590.16450.434858
7-0.01276-0.11620.45387
80.0307870.28050.389901
90.0194990.17760.429717
100.0161810.14740.441582
11-0.008746-0.07970.468341
12-0.010415-0.09490.462317
13-0.029019-0.26440.396073
140.0257890.2350.407413
150.0253250.23070.40905
160.0187240.17060.432484
17-0.033182-0.30230.381589
18-0.000382-0.00350.498617
19-0.014499-0.13210.447616
200.0412330.37560.354068
21-0.004209-0.03830.484751
22-0.060043-0.5470.292917
230.0076670.06980.472242
240.0232470.21180.416394
250.0100840.09190.463511
26-0.013508-0.12310.451178
270.0006010.00550.497823
28-0.01072-0.09770.461218
290.0115360.10510.458275
300.0101120.09210.463412
31-0.01487-0.13550.446285
32-0.007938-0.07230.47126
330.0052320.04770.481048
34-0.008942-0.08150.467635
350.0131880.12010.452329
36-0.034278-0.31230.377803
370.0012350.01130.495523
380.0221230.20150.420381
390.0124840.11370.454861
40-0.030905-0.28160.389493
410.0023010.0210.491664
420.0140740.12820.449142
43-0.000517-0.00470.498128
440.0085970.07830.468881
450.005850.05330.478812
460.0002840.00260.498972
470.0039090.03560.48584
480.0033730.03070.487779

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.041395 & -0.3771 & 0.353522 \tabularnewline
2 & -0.282094 & -2.57 & 0.005978 \tabularnewline
3 & -0.02531 & -0.2306 & 0.409101 \tabularnewline
4 & 0.029475 & 0.2685 & 0.394478 \tabularnewline
5 & -0.001613 & -0.0147 & 0.494154 \tabularnewline
6 & 0.018059 & 0.1645 & 0.434858 \tabularnewline
7 & -0.01276 & -0.1162 & 0.45387 \tabularnewline
8 & 0.030787 & 0.2805 & 0.389901 \tabularnewline
9 & 0.019499 & 0.1776 & 0.429717 \tabularnewline
10 & 0.016181 & 0.1474 & 0.441582 \tabularnewline
11 & -0.008746 & -0.0797 & 0.468341 \tabularnewline
12 & -0.010415 & -0.0949 & 0.462317 \tabularnewline
13 & -0.029019 & -0.2644 & 0.396073 \tabularnewline
14 & 0.025789 & 0.235 & 0.407413 \tabularnewline
15 & 0.025325 & 0.2307 & 0.40905 \tabularnewline
16 & 0.018724 & 0.1706 & 0.432484 \tabularnewline
17 & -0.033182 & -0.3023 & 0.381589 \tabularnewline
18 & -0.000382 & -0.0035 & 0.498617 \tabularnewline
19 & -0.014499 & -0.1321 & 0.447616 \tabularnewline
20 & 0.041233 & 0.3756 & 0.354068 \tabularnewline
21 & -0.004209 & -0.0383 & 0.484751 \tabularnewline
22 & -0.060043 & -0.547 & 0.292917 \tabularnewline
23 & 0.007667 & 0.0698 & 0.472242 \tabularnewline
24 & 0.023247 & 0.2118 & 0.416394 \tabularnewline
25 & 0.010084 & 0.0919 & 0.463511 \tabularnewline
26 & -0.013508 & -0.1231 & 0.451178 \tabularnewline
27 & 0.000601 & 0.0055 & 0.497823 \tabularnewline
28 & -0.01072 & -0.0977 & 0.461218 \tabularnewline
29 & 0.011536 & 0.1051 & 0.458275 \tabularnewline
30 & 0.010112 & 0.0921 & 0.463412 \tabularnewline
31 & -0.01487 & -0.1355 & 0.446285 \tabularnewline
32 & -0.007938 & -0.0723 & 0.47126 \tabularnewline
33 & 0.005232 & 0.0477 & 0.481048 \tabularnewline
34 & -0.008942 & -0.0815 & 0.467635 \tabularnewline
35 & 0.013188 & 0.1201 & 0.452329 \tabularnewline
36 & -0.034278 & -0.3123 & 0.377803 \tabularnewline
37 & 0.001235 & 0.0113 & 0.495523 \tabularnewline
38 & 0.022123 & 0.2015 & 0.420381 \tabularnewline
39 & 0.012484 & 0.1137 & 0.454861 \tabularnewline
40 & -0.030905 & -0.2816 & 0.389493 \tabularnewline
41 & 0.002301 & 0.021 & 0.491664 \tabularnewline
42 & 0.014074 & 0.1282 & 0.449142 \tabularnewline
43 & -0.000517 & -0.0047 & 0.498128 \tabularnewline
44 & 0.008597 & 0.0783 & 0.468881 \tabularnewline
45 & 0.00585 & 0.0533 & 0.478812 \tabularnewline
46 & 0.000284 & 0.0026 & 0.498972 \tabularnewline
47 & 0.003909 & 0.0356 & 0.48584 \tabularnewline
48 & 0.003373 & 0.0307 & 0.487779 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39675&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]-0.041395[/C][C]-0.3771[/C][C]0.353522[/C][/ROW]
[ROW][C]2[/C][C]-0.282094[/C][C]-2.57[/C][C]0.005978[/C][/ROW]
[ROW][C]3[/C][C]-0.02531[/C][C]-0.2306[/C][C]0.409101[/C][/ROW]
[ROW][C]4[/C][C]0.029475[/C][C]0.2685[/C][C]0.394478[/C][/ROW]
[ROW][C]5[/C][C]-0.001613[/C][C]-0.0147[/C][C]0.494154[/C][/ROW]
[ROW][C]6[/C][C]0.018059[/C][C]0.1645[/C][C]0.434858[/C][/ROW]
[ROW][C]7[/C][C]-0.01276[/C][C]-0.1162[/C][C]0.45387[/C][/ROW]
[ROW][C]8[/C][C]0.030787[/C][C]0.2805[/C][C]0.389901[/C][/ROW]
[ROW][C]9[/C][C]0.019499[/C][C]0.1776[/C][C]0.429717[/C][/ROW]
[ROW][C]10[/C][C]0.016181[/C][C]0.1474[/C][C]0.441582[/C][/ROW]
[ROW][C]11[/C][C]-0.008746[/C][C]-0.0797[/C][C]0.468341[/C][/ROW]
[ROW][C]12[/C][C]-0.010415[/C][C]-0.0949[/C][C]0.462317[/C][/ROW]
[ROW][C]13[/C][C]-0.029019[/C][C]-0.2644[/C][C]0.396073[/C][/ROW]
[ROW][C]14[/C][C]0.025789[/C][C]0.235[/C][C]0.407413[/C][/ROW]
[ROW][C]15[/C][C]0.025325[/C][C]0.2307[/C][C]0.40905[/C][/ROW]
[ROW][C]16[/C][C]0.018724[/C][C]0.1706[/C][C]0.432484[/C][/ROW]
[ROW][C]17[/C][C]-0.033182[/C][C]-0.3023[/C][C]0.381589[/C][/ROW]
[ROW][C]18[/C][C]-0.000382[/C][C]-0.0035[/C][C]0.498617[/C][/ROW]
[ROW][C]19[/C][C]-0.014499[/C][C]-0.1321[/C][C]0.447616[/C][/ROW]
[ROW][C]20[/C][C]0.041233[/C][C]0.3756[/C][C]0.354068[/C][/ROW]
[ROW][C]21[/C][C]-0.004209[/C][C]-0.0383[/C][C]0.484751[/C][/ROW]
[ROW][C]22[/C][C]-0.060043[/C][C]-0.547[/C][C]0.292917[/C][/ROW]
[ROW][C]23[/C][C]0.007667[/C][C]0.0698[/C][C]0.472242[/C][/ROW]
[ROW][C]24[/C][C]0.023247[/C][C]0.2118[/C][C]0.416394[/C][/ROW]
[ROW][C]25[/C][C]0.010084[/C][C]0.0919[/C][C]0.463511[/C][/ROW]
[ROW][C]26[/C][C]-0.013508[/C][C]-0.1231[/C][C]0.451178[/C][/ROW]
[ROW][C]27[/C][C]0.000601[/C][C]0.0055[/C][C]0.497823[/C][/ROW]
[ROW][C]28[/C][C]-0.01072[/C][C]-0.0977[/C][C]0.461218[/C][/ROW]
[ROW][C]29[/C][C]0.011536[/C][C]0.1051[/C][C]0.458275[/C][/ROW]
[ROW][C]30[/C][C]0.010112[/C][C]0.0921[/C][C]0.463412[/C][/ROW]
[ROW][C]31[/C][C]-0.01487[/C][C]-0.1355[/C][C]0.446285[/C][/ROW]
[ROW][C]32[/C][C]-0.007938[/C][C]-0.0723[/C][C]0.47126[/C][/ROW]
[ROW][C]33[/C][C]0.005232[/C][C]0.0477[/C][C]0.481048[/C][/ROW]
[ROW][C]34[/C][C]-0.008942[/C][C]-0.0815[/C][C]0.467635[/C][/ROW]
[ROW][C]35[/C][C]0.013188[/C][C]0.1201[/C][C]0.452329[/C][/ROW]
[ROW][C]36[/C][C]-0.034278[/C][C]-0.3123[/C][C]0.377803[/C][/ROW]
[ROW][C]37[/C][C]0.001235[/C][C]0.0113[/C][C]0.495523[/C][/ROW]
[ROW][C]38[/C][C]0.022123[/C][C]0.2015[/C][C]0.420381[/C][/ROW]
[ROW][C]39[/C][C]0.012484[/C][C]0.1137[/C][C]0.454861[/C][/ROW]
[ROW][C]40[/C][C]-0.030905[/C][C]-0.2816[/C][C]0.389493[/C][/ROW]
[ROW][C]41[/C][C]0.002301[/C][C]0.021[/C][C]0.491664[/C][/ROW]
[ROW][C]42[/C][C]0.014074[/C][C]0.1282[/C][C]0.449142[/C][/ROW]
[ROW][C]43[/C][C]-0.000517[/C][C]-0.0047[/C][C]0.498128[/C][/ROW]
[ROW][C]44[/C][C]0.008597[/C][C]0.0783[/C][C]0.468881[/C][/ROW]
[ROW][C]45[/C][C]0.00585[/C][C]0.0533[/C][C]0.478812[/C][/ROW]
[ROW][C]46[/C][C]0.000284[/C][C]0.0026[/C][C]0.498972[/C][/ROW]
[ROW][C]47[/C][C]0.003909[/C][C]0.0356[/C][C]0.48584[/C][/ROW]
[ROW][C]48[/C][C]0.003373[/C][C]0.0307[/C][C]0.487779[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39675&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39675&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
1-0.041395-0.37710.353522
2-0.282094-2.570.005978
3-0.02531-0.23060.409101
40.0294750.26850.394478
5-0.001613-0.01470.494154
60.0180590.16450.434858
7-0.01276-0.11620.45387
80.0307870.28050.389901
90.0194990.17760.429717
100.0161810.14740.441582
11-0.008746-0.07970.468341
12-0.010415-0.09490.462317
13-0.029019-0.26440.396073
140.0257890.2350.407413
150.0253250.23070.40905
160.0187240.17060.432484
17-0.033182-0.30230.381589
18-0.000382-0.00350.498617
19-0.014499-0.13210.447616
200.0412330.37560.354068
21-0.004209-0.03830.484751
22-0.060043-0.5470.292917
230.0076670.06980.472242
240.0232470.21180.416394
250.0100840.09190.463511
26-0.013508-0.12310.451178
270.0006010.00550.497823
28-0.01072-0.09770.461218
290.0115360.10510.458275
300.0101120.09210.463412
31-0.01487-0.13550.446285
32-0.007938-0.07230.47126
330.0052320.04770.481048
34-0.008942-0.08150.467635
350.0131880.12010.452329
36-0.034278-0.31230.377803
370.0012350.01130.495523
380.0221230.20150.420381
390.0124840.11370.454861
40-0.030905-0.28160.389493
410.0023010.0210.491664
420.0140740.12820.449142
43-0.000517-0.00470.498128
440.0085970.07830.468881
450.005850.05330.478812
460.0002840.00260.498972
470.0039090.03560.48584
480.0033730.03070.487779







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.041395-0.37710.353522
2-0.284294-2.590.005666
3-0.056752-0.5170.303254
4-0.060872-0.55460.290339
5-0.029523-0.2690.394313
60.0068160.06210.475319
7-0.021207-0.19320.423635
80.0404470.36850.356723
90.0186490.16990.43275
100.0428210.39010.348723
110.0110540.10070.460012
120.0089340.08140.467663
13-0.027198-0.24780.402456
140.0211820.1930.423726
150.0127460.11610.453918
160.0321750.29310.385079
17-0.020216-0.18420.427161
180.0106390.09690.46151
19-0.028361-0.25840.398377
200.0412180.37550.354119
21-0.009932-0.09050.464058
22-0.045801-0.41730.338779
230.0003580.00330.498703
24-0.013497-0.1230.451216
250.0124370.11330.45503
26-0.014953-0.13620.445984
270.0117180.10680.457621
28-0.0175-0.15940.436857
290.0138840.12650.449823
300.0040880.03720.485188
31-0.0059-0.05380.478631
32-0.003021-0.02750.489056
330.0008150.00740.497045
34-0.015326-0.13960.444645
350.0105320.0960.461896
36-0.042898-0.39080.348467
370.0066130.06030.476051
380.0029010.02640.489491
390.0115390.10510.458266
40-0.022523-0.20520.41896
410.0031010.02830.488764
420.0113370.10330.458995
43-0.002373-0.02160.491402
440.018320.16690.433927
450.0054570.04970.480236
460.0157530.14350.443115
470.0080820.07360.470742
480.0119660.1090.456726

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.041395 & -0.3771 & 0.353522 \tabularnewline
2 & -0.284294 & -2.59 & 0.005666 \tabularnewline
3 & -0.056752 & -0.517 & 0.303254 \tabularnewline
4 & -0.060872 & -0.5546 & 0.290339 \tabularnewline
5 & -0.029523 & -0.269 & 0.394313 \tabularnewline
6 & 0.006816 & 0.0621 & 0.475319 \tabularnewline
7 & -0.021207 & -0.1932 & 0.423635 \tabularnewline
8 & 0.040447 & 0.3685 & 0.356723 \tabularnewline
9 & 0.018649 & 0.1699 & 0.43275 \tabularnewline
10 & 0.042821 & 0.3901 & 0.348723 \tabularnewline
11 & 0.011054 & 0.1007 & 0.460012 \tabularnewline
12 & 0.008934 & 0.0814 & 0.467663 \tabularnewline
13 & -0.027198 & -0.2478 & 0.402456 \tabularnewline
14 & 0.021182 & 0.193 & 0.423726 \tabularnewline
15 & 0.012746 & 0.1161 & 0.453918 \tabularnewline
16 & 0.032175 & 0.2931 & 0.385079 \tabularnewline
17 & -0.020216 & -0.1842 & 0.427161 \tabularnewline
18 & 0.010639 & 0.0969 & 0.46151 \tabularnewline
19 & -0.028361 & -0.2584 & 0.398377 \tabularnewline
20 & 0.041218 & 0.3755 & 0.354119 \tabularnewline
21 & -0.009932 & -0.0905 & 0.464058 \tabularnewline
22 & -0.045801 & -0.4173 & 0.338779 \tabularnewline
23 & 0.000358 & 0.0033 & 0.498703 \tabularnewline
24 & -0.013497 & -0.123 & 0.451216 \tabularnewline
25 & 0.012437 & 0.1133 & 0.45503 \tabularnewline
26 & -0.014953 & -0.1362 & 0.445984 \tabularnewline
27 & 0.011718 & 0.1068 & 0.457621 \tabularnewline
28 & -0.0175 & -0.1594 & 0.436857 \tabularnewline
29 & 0.013884 & 0.1265 & 0.449823 \tabularnewline
30 & 0.004088 & 0.0372 & 0.485188 \tabularnewline
31 & -0.0059 & -0.0538 & 0.478631 \tabularnewline
32 & -0.003021 & -0.0275 & 0.489056 \tabularnewline
33 & 0.000815 & 0.0074 & 0.497045 \tabularnewline
34 & -0.015326 & -0.1396 & 0.444645 \tabularnewline
35 & 0.010532 & 0.096 & 0.461896 \tabularnewline
36 & -0.042898 & -0.3908 & 0.348467 \tabularnewline
37 & 0.006613 & 0.0603 & 0.476051 \tabularnewline
38 & 0.002901 & 0.0264 & 0.489491 \tabularnewline
39 & 0.011539 & 0.1051 & 0.458266 \tabularnewline
40 & -0.022523 & -0.2052 & 0.41896 \tabularnewline
41 & 0.003101 & 0.0283 & 0.488764 \tabularnewline
42 & 0.011337 & 0.1033 & 0.458995 \tabularnewline
43 & -0.002373 & -0.0216 & 0.491402 \tabularnewline
44 & 0.01832 & 0.1669 & 0.433927 \tabularnewline
45 & 0.005457 & 0.0497 & 0.480236 \tabularnewline
46 & 0.015753 & 0.1435 & 0.443115 \tabularnewline
47 & 0.008082 & 0.0736 & 0.470742 \tabularnewline
48 & 0.011966 & 0.109 & 0.456726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39675&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]-0.041395[/C][C]-0.3771[/C][C]0.353522[/C][/ROW]
[ROW][C]2[/C][C]-0.284294[/C][C]-2.59[/C][C]0.005666[/C][/ROW]
[ROW][C]3[/C][C]-0.056752[/C][C]-0.517[/C][C]0.303254[/C][/ROW]
[ROW][C]4[/C][C]-0.060872[/C][C]-0.5546[/C][C]0.290339[/C][/ROW]
[ROW][C]5[/C][C]-0.029523[/C][C]-0.269[/C][C]0.394313[/C][/ROW]
[ROW][C]6[/C][C]0.006816[/C][C]0.0621[/C][C]0.475319[/C][/ROW]
[ROW][C]7[/C][C]-0.021207[/C][C]-0.1932[/C][C]0.423635[/C][/ROW]
[ROW][C]8[/C][C]0.040447[/C][C]0.3685[/C][C]0.356723[/C][/ROW]
[ROW][C]9[/C][C]0.018649[/C][C]0.1699[/C][C]0.43275[/C][/ROW]
[ROW][C]10[/C][C]0.042821[/C][C]0.3901[/C][C]0.348723[/C][/ROW]
[ROW][C]11[/C][C]0.011054[/C][C]0.1007[/C][C]0.460012[/C][/ROW]
[ROW][C]12[/C][C]0.008934[/C][C]0.0814[/C][C]0.467663[/C][/ROW]
[ROW][C]13[/C][C]-0.027198[/C][C]-0.2478[/C][C]0.402456[/C][/ROW]
[ROW][C]14[/C][C]0.021182[/C][C]0.193[/C][C]0.423726[/C][/ROW]
[ROW][C]15[/C][C]0.012746[/C][C]0.1161[/C][C]0.453918[/C][/ROW]
[ROW][C]16[/C][C]0.032175[/C][C]0.2931[/C][C]0.385079[/C][/ROW]
[ROW][C]17[/C][C]-0.020216[/C][C]-0.1842[/C][C]0.427161[/C][/ROW]
[ROW][C]18[/C][C]0.010639[/C][C]0.0969[/C][C]0.46151[/C][/ROW]
[ROW][C]19[/C][C]-0.028361[/C][C]-0.2584[/C][C]0.398377[/C][/ROW]
[ROW][C]20[/C][C]0.041218[/C][C]0.3755[/C][C]0.354119[/C][/ROW]
[ROW][C]21[/C][C]-0.009932[/C][C]-0.0905[/C][C]0.464058[/C][/ROW]
[ROW][C]22[/C][C]-0.045801[/C][C]-0.4173[/C][C]0.338779[/C][/ROW]
[ROW][C]23[/C][C]0.000358[/C][C]0.0033[/C][C]0.498703[/C][/ROW]
[ROW][C]24[/C][C]-0.013497[/C][C]-0.123[/C][C]0.451216[/C][/ROW]
[ROW][C]25[/C][C]0.012437[/C][C]0.1133[/C][C]0.45503[/C][/ROW]
[ROW][C]26[/C][C]-0.014953[/C][C]-0.1362[/C][C]0.445984[/C][/ROW]
[ROW][C]27[/C][C]0.011718[/C][C]0.1068[/C][C]0.457621[/C][/ROW]
[ROW][C]28[/C][C]-0.0175[/C][C]-0.1594[/C][C]0.436857[/C][/ROW]
[ROW][C]29[/C][C]0.013884[/C][C]0.1265[/C][C]0.449823[/C][/ROW]
[ROW][C]30[/C][C]0.004088[/C][C]0.0372[/C][C]0.485188[/C][/ROW]
[ROW][C]31[/C][C]-0.0059[/C][C]-0.0538[/C][C]0.478631[/C][/ROW]
[ROW][C]32[/C][C]-0.003021[/C][C]-0.0275[/C][C]0.489056[/C][/ROW]
[ROW][C]33[/C][C]0.000815[/C][C]0.0074[/C][C]0.497045[/C][/ROW]
[ROW][C]34[/C][C]-0.015326[/C][C]-0.1396[/C][C]0.444645[/C][/ROW]
[ROW][C]35[/C][C]0.010532[/C][C]0.096[/C][C]0.461896[/C][/ROW]
[ROW][C]36[/C][C]-0.042898[/C][C]-0.3908[/C][C]0.348467[/C][/ROW]
[ROW][C]37[/C][C]0.006613[/C][C]0.0603[/C][C]0.476051[/C][/ROW]
[ROW][C]38[/C][C]0.002901[/C][C]0.0264[/C][C]0.489491[/C][/ROW]
[ROW][C]39[/C][C]0.011539[/C][C]0.1051[/C][C]0.458266[/C][/ROW]
[ROW][C]40[/C][C]-0.022523[/C][C]-0.2052[/C][C]0.41896[/C][/ROW]
[ROW][C]41[/C][C]0.003101[/C][C]0.0283[/C][C]0.488764[/C][/ROW]
[ROW][C]42[/C][C]0.011337[/C][C]0.1033[/C][C]0.458995[/C][/ROW]
[ROW][C]43[/C][C]-0.002373[/C][C]-0.0216[/C][C]0.491402[/C][/ROW]
[ROW][C]44[/C][C]0.01832[/C][C]0.1669[/C][C]0.433927[/C][/ROW]
[ROW][C]45[/C][C]0.005457[/C][C]0.0497[/C][C]0.480236[/C][/ROW]
[ROW][C]46[/C][C]0.015753[/C][C]0.1435[/C][C]0.443115[/C][/ROW]
[ROW][C]47[/C][C]0.008082[/C][C]0.0736[/C][C]0.470742[/C][/ROW]
[ROW][C]48[/C][C]0.011966[/C][C]0.109[/C][C]0.456726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39675&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39675&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
1-0.041395-0.37710.353522
2-0.284294-2.590.005666
3-0.056752-0.5170.303254
4-0.060872-0.55460.290339
5-0.029523-0.2690.394313
60.0068160.06210.475319
7-0.021207-0.19320.423635
80.0404470.36850.356723
90.0186490.16990.43275
100.0428210.39010.348723
110.0110540.10070.460012
120.0089340.08140.467663
13-0.027198-0.24780.402456
140.0211820.1930.423726
150.0127460.11610.453918
160.0321750.29310.385079
17-0.020216-0.18420.427161
180.0106390.09690.46151
19-0.028361-0.25840.398377
200.0412180.37550.354119
21-0.009932-0.09050.464058
22-0.045801-0.41730.338779
230.0003580.00330.498703
24-0.013497-0.1230.451216
250.0124370.11330.45503
26-0.014953-0.13620.445984
270.0117180.10680.457621
28-0.0175-0.15940.436857
290.0138840.12650.449823
300.0040880.03720.485188
31-0.0059-0.05380.478631
32-0.003021-0.02750.489056
330.0008150.00740.497045
34-0.015326-0.13960.444645
350.0105320.0960.461896
36-0.042898-0.39080.348467
370.0066130.06030.476051
380.0029010.02640.489491
390.0115390.10510.458266
40-0.022523-0.20520.41896
410.0031010.02830.488764
420.0113370.10330.458995
43-0.002373-0.02160.491402
440.018320.16690.433927
450.0054570.04970.480236
460.0157530.14350.443115
470.0080820.07360.470742
480.0119660.1090.456726



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')