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Author's title

JUISTE REEKS Autocorrelatie - Nieuwe geregistreerde domeinnamen - Dorien Dh...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 02 Jun 2009 08:54:44 -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/Jun/02/t1243954540qtch78deazjlf43.htm/, Retrieved Thu, 09 May 2024 23:40:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41255, Retrieved Thu, 09 May 2024 23:40:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [JUISTE REEKS Auto...] [2009-06-02 14:54:44] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
8166
7102
6047
5854
5764
5209
5616
5597
6251
7024
7237
9230
9016
8201
7630
7107
6820
6082
6019
6576
8086
8323
7842
9077
10737
10176
10416
9807
9565
10439
9115
9535
10790
11340
11196
12132
12013
12692
13330
11926
11356
11221
9999
11772
12543
14176
2924
2322
15557
13381
13145
12448
12178
11836
9815
12382
12662
12767
13136
13533
17808
15892
16830
14444
15550
15092
16364
14314
15874
17846
18504
15130
19845
18137
18898
19573
17368
18938
16713
16379
19139
21461
19796
16668




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=41255&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=41255&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41255&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
10.8446467.74130
20.7326466.71480
30.708486.49330
40.6891226.31590
50.6639736.08540
60.6160795.64650
70.5983275.48380
80.5652655.18071e-06
90.5125184.69735e-06
100.4954744.54119e-06
110.4746974.35071.9e-05
120.4661094.2722.5e-05
130.4069663.72990.000174
140.3494213.20250.000963
150.3252632.98110.001878
160.3006872.75580.003589
170.2729512.50160.007151
180.2142931.9640.026417
190.1899791.74120.042656
200.1739361.59410.05733
210.1614621.47980.071331
220.111731.0240.154383
230.0702510.64390.260711
240.0938550.86020.196064
250.0718030.65810.256141
260.0247230.22660.410648
270.0214350.19650.422364
28-0.000368-0.00340.498659
290.0002570.00240.499064
30-0.01804-0.16530.434537
31-0.025215-0.23110.408899
32-0.015822-0.1450.442526
33-0.045457-0.41660.33901
34-0.092304-0.8460.199985
35-0.113667-1.04180.150254
36-0.081614-0.7480.228273
37-0.030366-0.27830.390731
38-0.028125-0.25780.398608
39-0.04413-0.40450.343451
40-0.059786-0.54790.292592
41-0.078725-0.72150.236294
42-0.09346-0.85660.197059
43-0.110795-1.01550.156403
44-0.118258-1.08390.140766
45-0.134334-1.23120.110843
46-0.15601-1.42990.078234
47-0.198805-1.82210.036001
48-0.223268-2.04630.021928

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.844646 & 7.7413 & 0 \tabularnewline
2 & 0.732646 & 6.7148 & 0 \tabularnewline
3 & 0.70848 & 6.4933 & 0 \tabularnewline
4 & 0.689122 & 6.3159 & 0 \tabularnewline
5 & 0.663973 & 6.0854 & 0 \tabularnewline
6 & 0.616079 & 5.6465 & 0 \tabularnewline
7 & 0.598327 & 5.4838 & 0 \tabularnewline
8 & 0.565265 & 5.1807 & 1e-06 \tabularnewline
9 & 0.512518 & 4.6973 & 5e-06 \tabularnewline
10 & 0.495474 & 4.5411 & 9e-06 \tabularnewline
11 & 0.474697 & 4.3507 & 1.9e-05 \tabularnewline
12 & 0.466109 & 4.272 & 2.5e-05 \tabularnewline
13 & 0.406966 & 3.7299 & 0.000174 \tabularnewline
14 & 0.349421 & 3.2025 & 0.000963 \tabularnewline
15 & 0.325263 & 2.9811 & 0.001878 \tabularnewline
16 & 0.300687 & 2.7558 & 0.003589 \tabularnewline
17 & 0.272951 & 2.5016 & 0.007151 \tabularnewline
18 & 0.214293 & 1.964 & 0.026417 \tabularnewline
19 & 0.189979 & 1.7412 & 0.042656 \tabularnewline
20 & 0.173936 & 1.5941 & 0.05733 \tabularnewline
21 & 0.161462 & 1.4798 & 0.071331 \tabularnewline
22 & 0.11173 & 1.024 & 0.154383 \tabularnewline
23 & 0.070251 & 0.6439 & 0.260711 \tabularnewline
24 & 0.093855 & 0.8602 & 0.196064 \tabularnewline
25 & 0.071803 & 0.6581 & 0.256141 \tabularnewline
26 & 0.024723 & 0.2266 & 0.410648 \tabularnewline
27 & 0.021435 & 0.1965 & 0.422364 \tabularnewline
28 & -0.000368 & -0.0034 & 0.498659 \tabularnewline
29 & 0.000257 & 0.0024 & 0.499064 \tabularnewline
30 & -0.01804 & -0.1653 & 0.434537 \tabularnewline
31 & -0.025215 & -0.2311 & 0.408899 \tabularnewline
32 & -0.015822 & -0.145 & 0.442526 \tabularnewline
33 & -0.045457 & -0.4166 & 0.33901 \tabularnewline
34 & -0.092304 & -0.846 & 0.199985 \tabularnewline
35 & -0.113667 & -1.0418 & 0.150254 \tabularnewline
36 & -0.081614 & -0.748 & 0.228273 \tabularnewline
37 & -0.030366 & -0.2783 & 0.390731 \tabularnewline
38 & -0.028125 & -0.2578 & 0.398608 \tabularnewline
39 & -0.04413 & -0.4045 & 0.343451 \tabularnewline
40 & -0.059786 & -0.5479 & 0.292592 \tabularnewline
41 & -0.078725 & -0.7215 & 0.236294 \tabularnewline
42 & -0.09346 & -0.8566 & 0.197059 \tabularnewline
43 & -0.110795 & -1.0155 & 0.156403 \tabularnewline
44 & -0.118258 & -1.0839 & 0.140766 \tabularnewline
45 & -0.134334 & -1.2312 & 0.110843 \tabularnewline
46 & -0.15601 & -1.4299 & 0.078234 \tabularnewline
47 & -0.198805 & -1.8221 & 0.036001 \tabularnewline
48 & -0.223268 & -2.0463 & 0.021928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41255&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]0.844646[/C][C]7.7413[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.732646[/C][C]6.7148[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.70848[/C][C]6.4933[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.689122[/C][C]6.3159[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.663973[/C][C]6.0854[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.616079[/C][C]5.6465[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.598327[/C][C]5.4838[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.565265[/C][C]5.1807[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.512518[/C][C]4.6973[/C][C]5e-06[/C][/ROW]
[ROW][C]10[/C][C]0.495474[/C][C]4.5411[/C][C]9e-06[/C][/ROW]
[ROW][C]11[/C][C]0.474697[/C][C]4.3507[/C][C]1.9e-05[/C][/ROW]
[ROW][C]12[/C][C]0.466109[/C][C]4.272[/C][C]2.5e-05[/C][/ROW]
[ROW][C]13[/C][C]0.406966[/C][C]3.7299[/C][C]0.000174[/C][/ROW]
[ROW][C]14[/C][C]0.349421[/C][C]3.2025[/C][C]0.000963[/C][/ROW]
[ROW][C]15[/C][C]0.325263[/C][C]2.9811[/C][C]0.001878[/C][/ROW]
[ROW][C]16[/C][C]0.300687[/C][C]2.7558[/C][C]0.003589[/C][/ROW]
[ROW][C]17[/C][C]0.272951[/C][C]2.5016[/C][C]0.007151[/C][/ROW]
[ROW][C]18[/C][C]0.214293[/C][C]1.964[/C][C]0.026417[/C][/ROW]
[ROW][C]19[/C][C]0.189979[/C][C]1.7412[/C][C]0.042656[/C][/ROW]
[ROW][C]20[/C][C]0.173936[/C][C]1.5941[/C][C]0.05733[/C][/ROW]
[ROW][C]21[/C][C]0.161462[/C][C]1.4798[/C][C]0.071331[/C][/ROW]
[ROW][C]22[/C][C]0.11173[/C][C]1.024[/C][C]0.154383[/C][/ROW]
[ROW][C]23[/C][C]0.070251[/C][C]0.6439[/C][C]0.260711[/C][/ROW]
[ROW][C]24[/C][C]0.093855[/C][C]0.8602[/C][C]0.196064[/C][/ROW]
[ROW][C]25[/C][C]0.071803[/C][C]0.6581[/C][C]0.256141[/C][/ROW]
[ROW][C]26[/C][C]0.024723[/C][C]0.2266[/C][C]0.410648[/C][/ROW]
[ROW][C]27[/C][C]0.021435[/C][C]0.1965[/C][C]0.422364[/C][/ROW]
[ROW][C]28[/C][C]-0.000368[/C][C]-0.0034[/C][C]0.498659[/C][/ROW]
[ROW][C]29[/C][C]0.000257[/C][C]0.0024[/C][C]0.499064[/C][/ROW]
[ROW][C]30[/C][C]-0.01804[/C][C]-0.1653[/C][C]0.434537[/C][/ROW]
[ROW][C]31[/C][C]-0.025215[/C][C]-0.2311[/C][C]0.408899[/C][/ROW]
[ROW][C]32[/C][C]-0.015822[/C][C]-0.145[/C][C]0.442526[/C][/ROW]
[ROW][C]33[/C][C]-0.045457[/C][C]-0.4166[/C][C]0.33901[/C][/ROW]
[ROW][C]34[/C][C]-0.092304[/C][C]-0.846[/C][C]0.199985[/C][/ROW]
[ROW][C]35[/C][C]-0.113667[/C][C]-1.0418[/C][C]0.150254[/C][/ROW]
[ROW][C]36[/C][C]-0.081614[/C][C]-0.748[/C][C]0.228273[/C][/ROW]
[ROW][C]37[/C][C]-0.030366[/C][C]-0.2783[/C][C]0.390731[/C][/ROW]
[ROW][C]38[/C][C]-0.028125[/C][C]-0.2578[/C][C]0.398608[/C][/ROW]
[ROW][C]39[/C][C]-0.04413[/C][C]-0.4045[/C][C]0.343451[/C][/ROW]
[ROW][C]40[/C][C]-0.059786[/C][C]-0.5479[/C][C]0.292592[/C][/ROW]
[ROW][C]41[/C][C]-0.078725[/C][C]-0.7215[/C][C]0.236294[/C][/ROW]
[ROW][C]42[/C][C]-0.09346[/C][C]-0.8566[/C][C]0.197059[/C][/ROW]
[ROW][C]43[/C][C]-0.110795[/C][C]-1.0155[/C][C]0.156403[/C][/ROW]
[ROW][C]44[/C][C]-0.118258[/C][C]-1.0839[/C][C]0.140766[/C][/ROW]
[ROW][C]45[/C][C]-0.134334[/C][C]-1.2312[/C][C]0.110843[/C][/ROW]
[ROW][C]46[/C][C]-0.15601[/C][C]-1.4299[/C][C]0.078234[/C][/ROW]
[ROW][C]47[/C][C]-0.198805[/C][C]-1.8221[/C][C]0.036001[/C][/ROW]
[ROW][C]48[/C][C]-0.223268[/C][C]-2.0463[/C][C]0.021928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41255&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41255&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
10.8446467.74130
20.7326466.71480
30.708486.49330
40.6891226.31590
50.6639736.08540
60.6160795.64650
70.5983275.48380
80.5652655.18071e-06
90.5125184.69735e-06
100.4954744.54119e-06
110.4746974.35071.9e-05
120.4661094.2722.5e-05
130.4069663.72990.000174
140.3494213.20250.000963
150.3252632.98110.001878
160.3006872.75580.003589
170.2729512.50160.007151
180.2142931.9640.026417
190.1899791.74120.042656
200.1739361.59410.05733
210.1614621.47980.071331
220.111731.0240.154383
230.0702510.64390.260711
240.0938550.86020.196064
250.0718030.65810.256141
260.0247230.22660.410648
270.0214350.19650.422364
28-0.000368-0.00340.498659
290.0002570.00240.499064
30-0.01804-0.16530.434537
31-0.025215-0.23110.408899
32-0.015822-0.1450.442526
33-0.045457-0.41660.33901
34-0.092304-0.8460.199985
35-0.113667-1.04180.150254
36-0.081614-0.7480.228273
37-0.030366-0.27830.390731
38-0.028125-0.25780.398608
39-0.04413-0.40450.343451
40-0.059786-0.54790.292592
41-0.078725-0.72150.236294
42-0.09346-0.85660.197059
43-0.110795-1.01550.156403
44-0.118258-1.08390.140766
45-0.134334-1.23120.110843
46-0.15601-1.42990.078234
47-0.198805-1.82210.036001
48-0.223268-2.04630.021928







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8446467.74130
20.0670650.61470.27022
30.2611742.39370.009453
40.0914020.83770.202285
50.0827810.75870.225079
6-0.042079-0.38570.350361
70.0961250.8810.190415
8-0.063647-0.58330.280615
9-0.055528-0.50890.306072
100.0595720.5460.29326
11-0.020522-0.18810.425631
120.0720940.66080.255288
13-0.16196-1.48440.070724
14-0.038815-0.35570.361462
15-0.029028-0.2660.395428
16-0.000831-0.00760.49697
17-0.023851-0.21860.413748
18-0.11165-1.02330.154555
190.0521450.47790.316975
20-0.025393-0.23270.40827
210.0946640.86760.194041
22-0.17459-1.60010.056661
230.0215430.19740.421979
240.1273441.16710.12323
25-0.068558-0.62830.265743
26-0.030446-0.2790.39045
270.0486370.44580.328456
28-0.074553-0.68330.248152
290.0829160.75990.22471
300.0052380.0480.480914
31-0.013613-0.12480.450505
320.0345230.31640.376239
33-0.079318-0.7270.234634
34-0.118444-1.08560.14039
350.0192820.17670.430077
360.0843750.77330.220756
370.1658611.52010.066115
380.0337290.30910.378995
39-0.045088-0.41320.340241
40-0.070288-0.64420.260601
41-0.108405-0.99360.161647
42-0.051729-0.47410.318327
43-0.062527-0.57310.284066
44-0.02952-0.27060.393699
45-0.048137-0.44120.330107
460.0202870.18590.426473
47-0.117795-1.07960.141704
48-0.133703-1.22540.111924

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.844646 & 7.7413 & 0 \tabularnewline
2 & 0.067065 & 0.6147 & 0.27022 \tabularnewline
3 & 0.261174 & 2.3937 & 0.009453 \tabularnewline
4 & 0.091402 & 0.8377 & 0.202285 \tabularnewline
5 & 0.082781 & 0.7587 & 0.225079 \tabularnewline
6 & -0.042079 & -0.3857 & 0.350361 \tabularnewline
7 & 0.096125 & 0.881 & 0.190415 \tabularnewline
8 & -0.063647 & -0.5833 & 0.280615 \tabularnewline
9 & -0.055528 & -0.5089 & 0.306072 \tabularnewline
10 & 0.059572 & 0.546 & 0.29326 \tabularnewline
11 & -0.020522 & -0.1881 & 0.425631 \tabularnewline
12 & 0.072094 & 0.6608 & 0.255288 \tabularnewline
13 & -0.16196 & -1.4844 & 0.070724 \tabularnewline
14 & -0.038815 & -0.3557 & 0.361462 \tabularnewline
15 & -0.029028 & -0.266 & 0.395428 \tabularnewline
16 & -0.000831 & -0.0076 & 0.49697 \tabularnewline
17 & -0.023851 & -0.2186 & 0.413748 \tabularnewline
18 & -0.11165 & -1.0233 & 0.154555 \tabularnewline
19 & 0.052145 & 0.4779 & 0.316975 \tabularnewline
20 & -0.025393 & -0.2327 & 0.40827 \tabularnewline
21 & 0.094664 & 0.8676 & 0.194041 \tabularnewline
22 & -0.17459 & -1.6001 & 0.056661 \tabularnewline
23 & 0.021543 & 0.1974 & 0.421979 \tabularnewline
24 & 0.127344 & 1.1671 & 0.12323 \tabularnewline
25 & -0.068558 & -0.6283 & 0.265743 \tabularnewline
26 & -0.030446 & -0.279 & 0.39045 \tabularnewline
27 & 0.048637 & 0.4458 & 0.328456 \tabularnewline
28 & -0.074553 & -0.6833 & 0.248152 \tabularnewline
29 & 0.082916 & 0.7599 & 0.22471 \tabularnewline
30 & 0.005238 & 0.048 & 0.480914 \tabularnewline
31 & -0.013613 & -0.1248 & 0.450505 \tabularnewline
32 & 0.034523 & 0.3164 & 0.376239 \tabularnewline
33 & -0.079318 & -0.727 & 0.234634 \tabularnewline
34 & -0.118444 & -1.0856 & 0.14039 \tabularnewline
35 & 0.019282 & 0.1767 & 0.430077 \tabularnewline
36 & 0.084375 & 0.7733 & 0.220756 \tabularnewline
37 & 0.165861 & 1.5201 & 0.066115 \tabularnewline
38 & 0.033729 & 0.3091 & 0.378995 \tabularnewline
39 & -0.045088 & -0.4132 & 0.340241 \tabularnewline
40 & -0.070288 & -0.6442 & 0.260601 \tabularnewline
41 & -0.108405 & -0.9936 & 0.161647 \tabularnewline
42 & -0.051729 & -0.4741 & 0.318327 \tabularnewline
43 & -0.062527 & -0.5731 & 0.284066 \tabularnewline
44 & -0.02952 & -0.2706 & 0.393699 \tabularnewline
45 & -0.048137 & -0.4412 & 0.330107 \tabularnewline
46 & 0.020287 & 0.1859 & 0.426473 \tabularnewline
47 & -0.117795 & -1.0796 & 0.141704 \tabularnewline
48 & -0.133703 & -1.2254 & 0.111924 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41255&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]0.844646[/C][C]7.7413[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.067065[/C][C]0.6147[/C][C]0.27022[/C][/ROW]
[ROW][C]3[/C][C]0.261174[/C][C]2.3937[/C][C]0.009453[/C][/ROW]
[ROW][C]4[/C][C]0.091402[/C][C]0.8377[/C][C]0.202285[/C][/ROW]
[ROW][C]5[/C][C]0.082781[/C][C]0.7587[/C][C]0.225079[/C][/ROW]
[ROW][C]6[/C][C]-0.042079[/C][C]-0.3857[/C][C]0.350361[/C][/ROW]
[ROW][C]7[/C][C]0.096125[/C][C]0.881[/C][C]0.190415[/C][/ROW]
[ROW][C]8[/C][C]-0.063647[/C][C]-0.5833[/C][C]0.280615[/C][/ROW]
[ROW][C]9[/C][C]-0.055528[/C][C]-0.5089[/C][C]0.306072[/C][/ROW]
[ROW][C]10[/C][C]0.059572[/C][C]0.546[/C][C]0.29326[/C][/ROW]
[ROW][C]11[/C][C]-0.020522[/C][C]-0.1881[/C][C]0.425631[/C][/ROW]
[ROW][C]12[/C][C]0.072094[/C][C]0.6608[/C][C]0.255288[/C][/ROW]
[ROW][C]13[/C][C]-0.16196[/C][C]-1.4844[/C][C]0.070724[/C][/ROW]
[ROW][C]14[/C][C]-0.038815[/C][C]-0.3557[/C][C]0.361462[/C][/ROW]
[ROW][C]15[/C][C]-0.029028[/C][C]-0.266[/C][C]0.395428[/C][/ROW]
[ROW][C]16[/C][C]-0.000831[/C][C]-0.0076[/C][C]0.49697[/C][/ROW]
[ROW][C]17[/C][C]-0.023851[/C][C]-0.2186[/C][C]0.413748[/C][/ROW]
[ROW][C]18[/C][C]-0.11165[/C][C]-1.0233[/C][C]0.154555[/C][/ROW]
[ROW][C]19[/C][C]0.052145[/C][C]0.4779[/C][C]0.316975[/C][/ROW]
[ROW][C]20[/C][C]-0.025393[/C][C]-0.2327[/C][C]0.40827[/C][/ROW]
[ROW][C]21[/C][C]0.094664[/C][C]0.8676[/C][C]0.194041[/C][/ROW]
[ROW][C]22[/C][C]-0.17459[/C][C]-1.6001[/C][C]0.056661[/C][/ROW]
[ROW][C]23[/C][C]0.021543[/C][C]0.1974[/C][C]0.421979[/C][/ROW]
[ROW][C]24[/C][C]0.127344[/C][C]1.1671[/C][C]0.12323[/C][/ROW]
[ROW][C]25[/C][C]-0.068558[/C][C]-0.6283[/C][C]0.265743[/C][/ROW]
[ROW][C]26[/C][C]-0.030446[/C][C]-0.279[/C][C]0.39045[/C][/ROW]
[ROW][C]27[/C][C]0.048637[/C][C]0.4458[/C][C]0.328456[/C][/ROW]
[ROW][C]28[/C][C]-0.074553[/C][C]-0.6833[/C][C]0.248152[/C][/ROW]
[ROW][C]29[/C][C]0.082916[/C][C]0.7599[/C][C]0.22471[/C][/ROW]
[ROW][C]30[/C][C]0.005238[/C][C]0.048[/C][C]0.480914[/C][/ROW]
[ROW][C]31[/C][C]-0.013613[/C][C]-0.1248[/C][C]0.450505[/C][/ROW]
[ROW][C]32[/C][C]0.034523[/C][C]0.3164[/C][C]0.376239[/C][/ROW]
[ROW][C]33[/C][C]-0.079318[/C][C]-0.727[/C][C]0.234634[/C][/ROW]
[ROW][C]34[/C][C]-0.118444[/C][C]-1.0856[/C][C]0.14039[/C][/ROW]
[ROW][C]35[/C][C]0.019282[/C][C]0.1767[/C][C]0.430077[/C][/ROW]
[ROW][C]36[/C][C]0.084375[/C][C]0.7733[/C][C]0.220756[/C][/ROW]
[ROW][C]37[/C][C]0.165861[/C][C]1.5201[/C][C]0.066115[/C][/ROW]
[ROW][C]38[/C][C]0.033729[/C][C]0.3091[/C][C]0.378995[/C][/ROW]
[ROW][C]39[/C][C]-0.045088[/C][C]-0.4132[/C][C]0.340241[/C][/ROW]
[ROW][C]40[/C][C]-0.070288[/C][C]-0.6442[/C][C]0.260601[/C][/ROW]
[ROW][C]41[/C][C]-0.108405[/C][C]-0.9936[/C][C]0.161647[/C][/ROW]
[ROW][C]42[/C][C]-0.051729[/C][C]-0.4741[/C][C]0.318327[/C][/ROW]
[ROW][C]43[/C][C]-0.062527[/C][C]-0.5731[/C][C]0.284066[/C][/ROW]
[ROW][C]44[/C][C]-0.02952[/C][C]-0.2706[/C][C]0.393699[/C][/ROW]
[ROW][C]45[/C][C]-0.048137[/C][C]-0.4412[/C][C]0.330107[/C][/ROW]
[ROW][C]46[/C][C]0.020287[/C][C]0.1859[/C][C]0.426473[/C][/ROW]
[ROW][C]47[/C][C]-0.117795[/C][C]-1.0796[/C][C]0.141704[/C][/ROW]
[ROW][C]48[/C][C]-0.133703[/C][C]-1.2254[/C][C]0.111924[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41255&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41255&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
10.8446467.74130
20.0670650.61470.27022
30.2611742.39370.009453
40.0914020.83770.202285
50.0827810.75870.225079
6-0.042079-0.38570.350361
70.0961250.8810.190415
8-0.063647-0.58330.280615
9-0.055528-0.50890.306072
100.0595720.5460.29326
11-0.020522-0.18810.425631
120.0720940.66080.255288
13-0.16196-1.48440.070724
14-0.038815-0.35570.361462
15-0.029028-0.2660.395428
16-0.000831-0.00760.49697
17-0.023851-0.21860.413748
18-0.11165-1.02330.154555
190.0521450.47790.316975
20-0.025393-0.23270.40827
210.0946640.86760.194041
22-0.17459-1.60010.056661
230.0215430.19740.421979
240.1273441.16710.12323
25-0.068558-0.62830.265743
26-0.030446-0.2790.39045
270.0486370.44580.328456
28-0.074553-0.68330.248152
290.0829160.75990.22471
300.0052380.0480.480914
31-0.013613-0.12480.450505
320.0345230.31640.376239
33-0.079318-0.7270.234634
34-0.118444-1.08560.14039
350.0192820.17670.430077
360.0843750.77330.220756
370.1658611.52010.066115
380.0337290.30910.378995
39-0.045088-0.41320.340241
40-0.070288-0.64420.260601
41-0.108405-0.99360.161647
42-0.051729-0.47410.318327
43-0.062527-0.57310.284066
44-0.02952-0.27060.393699
45-0.048137-0.44120.330107
460.0202870.18590.426473
47-0.117795-1.07960.141704
48-0.133703-1.22540.111924



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')