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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, 18 Aug 2010 17:44:13 +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/Aug/18/t1282153438kv4w8kgbret9n5p.htm/, Retrieved Thu, 31 Oct 2024 23:38:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79208, Retrieved Thu, 31 Oct 2024 23:38:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsmattias debbaut
Estimated Impact217
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelation F...] [2010-08-18 17:44:13] [59fa324537f53fb6459bc6951db20f7b] [Current]
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Dataseries X:
900
899
898
896
916
915
900
890
891
891
892
894
896
889
878
883
901
897
881
866
867
866
862
871
865
856
847
859
870
872
856
839
829
825
822
827
822
812
810
816
820
823
810
793
777
772
765
765
753
742
736
740
742
742
728
707
699
696
689
692
673
653
642
648
654
653
630
609
598
601
592
591
568
538
523
530
529
534
513
491
480
478
462
461
437
411
400
405
395
407
385
366
349
343
332
327
306
276
269
268
260
274
247
226
212
199
188
179
155
124
117
116
105
112
86
64
53
42
32
24




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=79208&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=79208&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79208&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
10.97517910.68250
20.94973910.40390
30.92440810.12640
40.8995229.85380
50.8741089.57540
60.8491319.30180
70.824779.03490
80.7992738.75560
90.7738878.47750
100.7482858.19710
110.7225737.91540
120.6976937.64280
130.672417.36590
140.6469297.08670
150.622026.81390
160.5975026.54530
170.572836.2750
180.548786.01160
190.5256355.7580
200.5012275.49070
210.4768465.22360
220.4523684.95541e-06
230.428044.68894e-06
240.4043994.431e-05
250.3808074.17152.9e-05
260.3569553.91027.7e-05
270.3336613.65510.000191
280.3101293.39730.000462
290.2869693.14360.001052
300.2642032.89420.002258
310.2422042.65320.004526
320.2192822.40210.008917
330.1970042.15810.016457
340.174421.91070.029216
350.1523171.66850.048907
360.1309361.43430.077039
370.1100611.20570.115162
380.0888310.97310.166232
390.0683890.74920.227613
400.0477470.5230.300956
410.0273670.29980.382427
420.0076470.08380.466689
43-0.01125-0.12320.451062
44-0.030458-0.33370.369613
45-0.049283-0.53990.295144
46-0.068405-0.74930.227561
47-0.086523-0.94780.172566
48-0.103318-1.13180.129989

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.975179 & 10.6825 & 0 \tabularnewline
2 & 0.949739 & 10.4039 & 0 \tabularnewline
3 & 0.924408 & 10.1264 & 0 \tabularnewline
4 & 0.899522 & 9.8538 & 0 \tabularnewline
5 & 0.874108 & 9.5754 & 0 \tabularnewline
6 & 0.849131 & 9.3018 & 0 \tabularnewline
7 & 0.82477 & 9.0349 & 0 \tabularnewline
8 & 0.799273 & 8.7556 & 0 \tabularnewline
9 & 0.773887 & 8.4775 & 0 \tabularnewline
10 & 0.748285 & 8.1971 & 0 \tabularnewline
11 & 0.722573 & 7.9154 & 0 \tabularnewline
12 & 0.697693 & 7.6428 & 0 \tabularnewline
13 & 0.67241 & 7.3659 & 0 \tabularnewline
14 & 0.646929 & 7.0867 & 0 \tabularnewline
15 & 0.62202 & 6.8139 & 0 \tabularnewline
16 & 0.597502 & 6.5453 & 0 \tabularnewline
17 & 0.57283 & 6.275 & 0 \tabularnewline
18 & 0.54878 & 6.0116 & 0 \tabularnewline
19 & 0.525635 & 5.758 & 0 \tabularnewline
20 & 0.501227 & 5.4907 & 0 \tabularnewline
21 & 0.476846 & 5.2236 & 0 \tabularnewline
22 & 0.452368 & 4.9554 & 1e-06 \tabularnewline
23 & 0.42804 & 4.6889 & 4e-06 \tabularnewline
24 & 0.404399 & 4.43 & 1e-05 \tabularnewline
25 & 0.380807 & 4.1715 & 2.9e-05 \tabularnewline
26 & 0.356955 & 3.9102 & 7.7e-05 \tabularnewline
27 & 0.333661 & 3.6551 & 0.000191 \tabularnewline
28 & 0.310129 & 3.3973 & 0.000462 \tabularnewline
29 & 0.286969 & 3.1436 & 0.001052 \tabularnewline
30 & 0.264203 & 2.8942 & 0.002258 \tabularnewline
31 & 0.242204 & 2.6532 & 0.004526 \tabularnewline
32 & 0.219282 & 2.4021 & 0.008917 \tabularnewline
33 & 0.197004 & 2.1581 & 0.016457 \tabularnewline
34 & 0.17442 & 1.9107 & 0.029216 \tabularnewline
35 & 0.152317 & 1.6685 & 0.048907 \tabularnewline
36 & 0.130936 & 1.4343 & 0.077039 \tabularnewline
37 & 0.110061 & 1.2057 & 0.115162 \tabularnewline
38 & 0.088831 & 0.9731 & 0.166232 \tabularnewline
39 & 0.068389 & 0.7492 & 0.227613 \tabularnewline
40 & 0.047747 & 0.523 & 0.300956 \tabularnewline
41 & 0.027367 & 0.2998 & 0.382427 \tabularnewline
42 & 0.007647 & 0.0838 & 0.466689 \tabularnewline
43 & -0.01125 & -0.1232 & 0.451062 \tabularnewline
44 & -0.030458 & -0.3337 & 0.369613 \tabularnewline
45 & -0.049283 & -0.5399 & 0.295144 \tabularnewline
46 & -0.068405 & -0.7493 & 0.227561 \tabularnewline
47 & -0.086523 & -0.9478 & 0.172566 \tabularnewline
48 & -0.103318 & -1.1318 & 0.129989 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79208&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]0.975179[/C][C]10.6825[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.949739[/C][C]10.4039[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.924408[/C][C]10.1264[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.899522[/C][C]9.8538[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.874108[/C][C]9.5754[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.849131[/C][C]9.3018[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.82477[/C][C]9.0349[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.799273[/C][C]8.7556[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.773887[/C][C]8.4775[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.748285[/C][C]8.1971[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.722573[/C][C]7.9154[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.697693[/C][C]7.6428[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.67241[/C][C]7.3659[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.646929[/C][C]7.0867[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.62202[/C][C]6.8139[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.597502[/C][C]6.5453[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.57283[/C][C]6.275[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.54878[/C][C]6.0116[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.525635[/C][C]5.758[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.501227[/C][C]5.4907[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.476846[/C][C]5.2236[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.452368[/C][C]4.9554[/C][C]1e-06[/C][/ROW]
[ROW][C]23[/C][C]0.42804[/C][C]4.6889[/C][C]4e-06[/C][/ROW]
[ROW][C]24[/C][C]0.404399[/C][C]4.43[/C][C]1e-05[/C][/ROW]
[ROW][C]25[/C][C]0.380807[/C][C]4.1715[/C][C]2.9e-05[/C][/ROW]
[ROW][C]26[/C][C]0.356955[/C][C]3.9102[/C][C]7.7e-05[/C][/ROW]
[ROW][C]27[/C][C]0.333661[/C][C]3.6551[/C][C]0.000191[/C][/ROW]
[ROW][C]28[/C][C]0.310129[/C][C]3.3973[/C][C]0.000462[/C][/ROW]
[ROW][C]29[/C][C]0.286969[/C][C]3.1436[/C][C]0.001052[/C][/ROW]
[ROW][C]30[/C][C]0.264203[/C][C]2.8942[/C][C]0.002258[/C][/ROW]
[ROW][C]31[/C][C]0.242204[/C][C]2.6532[/C][C]0.004526[/C][/ROW]
[ROW][C]32[/C][C]0.219282[/C][C]2.4021[/C][C]0.008917[/C][/ROW]
[ROW][C]33[/C][C]0.197004[/C][C]2.1581[/C][C]0.016457[/C][/ROW]
[ROW][C]34[/C][C]0.17442[/C][C]1.9107[/C][C]0.029216[/C][/ROW]
[ROW][C]35[/C][C]0.152317[/C][C]1.6685[/C][C]0.048907[/C][/ROW]
[ROW][C]36[/C][C]0.130936[/C][C]1.4343[/C][C]0.077039[/C][/ROW]
[ROW][C]37[/C][C]0.110061[/C][C]1.2057[/C][C]0.115162[/C][/ROW]
[ROW][C]38[/C][C]0.088831[/C][C]0.9731[/C][C]0.166232[/C][/ROW]
[ROW][C]39[/C][C]0.068389[/C][C]0.7492[/C][C]0.227613[/C][/ROW]
[ROW][C]40[/C][C]0.047747[/C][C]0.523[/C][C]0.300956[/C][/ROW]
[ROW][C]41[/C][C]0.027367[/C][C]0.2998[/C][C]0.382427[/C][/ROW]
[ROW][C]42[/C][C]0.007647[/C][C]0.0838[/C][C]0.466689[/C][/ROW]
[ROW][C]43[/C][C]-0.01125[/C][C]-0.1232[/C][C]0.451062[/C][/ROW]
[ROW][C]44[/C][C]-0.030458[/C][C]-0.3337[/C][C]0.369613[/C][/ROW]
[ROW][C]45[/C][C]-0.049283[/C][C]-0.5399[/C][C]0.295144[/C][/ROW]
[ROW][C]46[/C][C]-0.068405[/C][C]-0.7493[/C][C]0.227561[/C][/ROW]
[ROW][C]47[/C][C]-0.086523[/C][C]-0.9478[/C][C]0.172566[/C][/ROW]
[ROW][C]48[/C][C]-0.103318[/C][C]-1.1318[/C][C]0.129989[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79208&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79208&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
10.97517910.68250
20.94973910.40390
30.92440810.12640
40.8995229.85380
50.8741089.57540
60.8491319.30180
70.824779.03490
80.7992738.75560
90.7738878.47750
100.7482858.19710
110.7225737.91540
120.6976937.64280
130.672417.36590
140.6469297.08670
150.622026.81390
160.5975026.54530
170.572836.2750
180.548786.01160
190.5256355.7580
200.5012275.49070
210.4768465.22360
220.4523684.95541e-06
230.428044.68894e-06
240.4043994.431e-05
250.3808074.17152.9e-05
260.3569553.91027.7e-05
270.3336613.65510.000191
280.3101293.39730.000462
290.2869693.14360.001052
300.2642032.89420.002258
310.2422042.65320.004526
320.2192822.40210.008917
330.1970042.15810.016457
340.174421.91070.029216
350.1523171.66850.048907
360.1309361.43430.077039
370.1100611.20570.115162
380.0888310.97310.166232
390.0683890.74920.227613
400.0477470.5230.300956
410.0273670.29980.382427
420.0076470.08380.466689
43-0.01125-0.12320.451062
44-0.030458-0.33370.369613
45-0.049283-0.53990.295144
46-0.068405-0.74930.227561
47-0.086523-0.94780.172566
48-0.103318-1.13180.129989







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.97517910.68250
2-0.025181-0.27580.391571
3-0.010671-0.11690.45357
4-0.00414-0.04530.481952
5-0.024116-0.26420.39605
6-0.004313-0.04720.481198
7-0.001099-0.0120.495207
8-0.037051-0.40590.342779
9-0.010979-0.12030.452237
10-0.018848-0.20650.418388
11-0.017407-0.19070.424546
120.0029380.03220.487191
13-0.023756-0.26020.397565
14-0.019385-0.21230.416097
15-0.002753-0.03020.487994
16-0.00851-0.09320.462942
17-0.018112-0.19840.421533
18-0.002108-0.02310.490806
190.0014230.01560.493793
20-0.041106-0.45030.326655
21-0.014215-0.15570.438257
22-0.019051-0.20870.417519
23-0.014365-0.15740.437614
24-0.001959-0.02150.491459
25-0.017109-0.18740.425824
26-0.02329-0.25510.399528
27-0.004494-0.04920.480409
28-0.023845-0.26120.397191
29-0.009177-0.10050.460047
30-0.008812-0.09650.461631
31-0.004943-0.05410.478455
32-0.036261-0.39720.345958
33-0.003988-0.04370.482613
34-0.026393-0.28910.386495
35-0.009003-0.09860.460799
36-0.003632-0.03980.484165
37-0.010573-0.11580.453992
38-0.027209-0.29810.383088
39-0.001593-0.01750.493052
40-0.025344-0.27760.390888
41-0.012864-0.14090.444085
42-0.005423-0.05940.476365
43-0.006305-0.06910.472525
44-0.025721-0.28180.389308
45-0.010896-0.11940.452593
46-0.028635-0.31370.377154
470.0013710.0150.494021
480.0068730.07530.470056

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.975179 & 10.6825 & 0 \tabularnewline
2 & -0.025181 & -0.2758 & 0.391571 \tabularnewline
3 & -0.010671 & -0.1169 & 0.45357 \tabularnewline
4 & -0.00414 & -0.0453 & 0.481952 \tabularnewline
5 & -0.024116 & -0.2642 & 0.39605 \tabularnewline
6 & -0.004313 & -0.0472 & 0.481198 \tabularnewline
7 & -0.001099 & -0.012 & 0.495207 \tabularnewline
8 & -0.037051 & -0.4059 & 0.342779 \tabularnewline
9 & -0.010979 & -0.1203 & 0.452237 \tabularnewline
10 & -0.018848 & -0.2065 & 0.418388 \tabularnewline
11 & -0.017407 & -0.1907 & 0.424546 \tabularnewline
12 & 0.002938 & 0.0322 & 0.487191 \tabularnewline
13 & -0.023756 & -0.2602 & 0.397565 \tabularnewline
14 & -0.019385 & -0.2123 & 0.416097 \tabularnewline
15 & -0.002753 & -0.0302 & 0.487994 \tabularnewline
16 & -0.00851 & -0.0932 & 0.462942 \tabularnewline
17 & -0.018112 & -0.1984 & 0.421533 \tabularnewline
18 & -0.002108 & -0.0231 & 0.490806 \tabularnewline
19 & 0.001423 & 0.0156 & 0.493793 \tabularnewline
20 & -0.041106 & -0.4503 & 0.326655 \tabularnewline
21 & -0.014215 & -0.1557 & 0.438257 \tabularnewline
22 & -0.019051 & -0.2087 & 0.417519 \tabularnewline
23 & -0.014365 & -0.1574 & 0.437614 \tabularnewline
24 & -0.001959 & -0.0215 & 0.491459 \tabularnewline
25 & -0.017109 & -0.1874 & 0.425824 \tabularnewline
26 & -0.02329 & -0.2551 & 0.399528 \tabularnewline
27 & -0.004494 & -0.0492 & 0.480409 \tabularnewline
28 & -0.023845 & -0.2612 & 0.397191 \tabularnewline
29 & -0.009177 & -0.1005 & 0.460047 \tabularnewline
30 & -0.008812 & -0.0965 & 0.461631 \tabularnewline
31 & -0.004943 & -0.0541 & 0.478455 \tabularnewline
32 & -0.036261 & -0.3972 & 0.345958 \tabularnewline
33 & -0.003988 & -0.0437 & 0.482613 \tabularnewline
34 & -0.026393 & -0.2891 & 0.386495 \tabularnewline
35 & -0.009003 & -0.0986 & 0.460799 \tabularnewline
36 & -0.003632 & -0.0398 & 0.484165 \tabularnewline
37 & -0.010573 & -0.1158 & 0.453992 \tabularnewline
38 & -0.027209 & -0.2981 & 0.383088 \tabularnewline
39 & -0.001593 & -0.0175 & 0.493052 \tabularnewline
40 & -0.025344 & -0.2776 & 0.390888 \tabularnewline
41 & -0.012864 & -0.1409 & 0.444085 \tabularnewline
42 & -0.005423 & -0.0594 & 0.476365 \tabularnewline
43 & -0.006305 & -0.0691 & 0.472525 \tabularnewline
44 & -0.025721 & -0.2818 & 0.389308 \tabularnewline
45 & -0.010896 & -0.1194 & 0.452593 \tabularnewline
46 & -0.028635 & -0.3137 & 0.377154 \tabularnewline
47 & 0.001371 & 0.015 & 0.494021 \tabularnewline
48 & 0.006873 & 0.0753 & 0.470056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79208&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]0.975179[/C][C]10.6825[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.025181[/C][C]-0.2758[/C][C]0.391571[/C][/ROW]
[ROW][C]3[/C][C]-0.010671[/C][C]-0.1169[/C][C]0.45357[/C][/ROW]
[ROW][C]4[/C][C]-0.00414[/C][C]-0.0453[/C][C]0.481952[/C][/ROW]
[ROW][C]5[/C][C]-0.024116[/C][C]-0.2642[/C][C]0.39605[/C][/ROW]
[ROW][C]6[/C][C]-0.004313[/C][C]-0.0472[/C][C]0.481198[/C][/ROW]
[ROW][C]7[/C][C]-0.001099[/C][C]-0.012[/C][C]0.495207[/C][/ROW]
[ROW][C]8[/C][C]-0.037051[/C][C]-0.4059[/C][C]0.342779[/C][/ROW]
[ROW][C]9[/C][C]-0.010979[/C][C]-0.1203[/C][C]0.452237[/C][/ROW]
[ROW][C]10[/C][C]-0.018848[/C][C]-0.2065[/C][C]0.418388[/C][/ROW]
[ROW][C]11[/C][C]-0.017407[/C][C]-0.1907[/C][C]0.424546[/C][/ROW]
[ROW][C]12[/C][C]0.002938[/C][C]0.0322[/C][C]0.487191[/C][/ROW]
[ROW][C]13[/C][C]-0.023756[/C][C]-0.2602[/C][C]0.397565[/C][/ROW]
[ROW][C]14[/C][C]-0.019385[/C][C]-0.2123[/C][C]0.416097[/C][/ROW]
[ROW][C]15[/C][C]-0.002753[/C][C]-0.0302[/C][C]0.487994[/C][/ROW]
[ROW][C]16[/C][C]-0.00851[/C][C]-0.0932[/C][C]0.462942[/C][/ROW]
[ROW][C]17[/C][C]-0.018112[/C][C]-0.1984[/C][C]0.421533[/C][/ROW]
[ROW][C]18[/C][C]-0.002108[/C][C]-0.0231[/C][C]0.490806[/C][/ROW]
[ROW][C]19[/C][C]0.001423[/C][C]0.0156[/C][C]0.493793[/C][/ROW]
[ROW][C]20[/C][C]-0.041106[/C][C]-0.4503[/C][C]0.326655[/C][/ROW]
[ROW][C]21[/C][C]-0.014215[/C][C]-0.1557[/C][C]0.438257[/C][/ROW]
[ROW][C]22[/C][C]-0.019051[/C][C]-0.2087[/C][C]0.417519[/C][/ROW]
[ROW][C]23[/C][C]-0.014365[/C][C]-0.1574[/C][C]0.437614[/C][/ROW]
[ROW][C]24[/C][C]-0.001959[/C][C]-0.0215[/C][C]0.491459[/C][/ROW]
[ROW][C]25[/C][C]-0.017109[/C][C]-0.1874[/C][C]0.425824[/C][/ROW]
[ROW][C]26[/C][C]-0.02329[/C][C]-0.2551[/C][C]0.399528[/C][/ROW]
[ROW][C]27[/C][C]-0.004494[/C][C]-0.0492[/C][C]0.480409[/C][/ROW]
[ROW][C]28[/C][C]-0.023845[/C][C]-0.2612[/C][C]0.397191[/C][/ROW]
[ROW][C]29[/C][C]-0.009177[/C][C]-0.1005[/C][C]0.460047[/C][/ROW]
[ROW][C]30[/C][C]-0.008812[/C][C]-0.0965[/C][C]0.461631[/C][/ROW]
[ROW][C]31[/C][C]-0.004943[/C][C]-0.0541[/C][C]0.478455[/C][/ROW]
[ROW][C]32[/C][C]-0.036261[/C][C]-0.3972[/C][C]0.345958[/C][/ROW]
[ROW][C]33[/C][C]-0.003988[/C][C]-0.0437[/C][C]0.482613[/C][/ROW]
[ROW][C]34[/C][C]-0.026393[/C][C]-0.2891[/C][C]0.386495[/C][/ROW]
[ROW][C]35[/C][C]-0.009003[/C][C]-0.0986[/C][C]0.460799[/C][/ROW]
[ROW][C]36[/C][C]-0.003632[/C][C]-0.0398[/C][C]0.484165[/C][/ROW]
[ROW][C]37[/C][C]-0.010573[/C][C]-0.1158[/C][C]0.453992[/C][/ROW]
[ROW][C]38[/C][C]-0.027209[/C][C]-0.2981[/C][C]0.383088[/C][/ROW]
[ROW][C]39[/C][C]-0.001593[/C][C]-0.0175[/C][C]0.493052[/C][/ROW]
[ROW][C]40[/C][C]-0.025344[/C][C]-0.2776[/C][C]0.390888[/C][/ROW]
[ROW][C]41[/C][C]-0.012864[/C][C]-0.1409[/C][C]0.444085[/C][/ROW]
[ROW][C]42[/C][C]-0.005423[/C][C]-0.0594[/C][C]0.476365[/C][/ROW]
[ROW][C]43[/C][C]-0.006305[/C][C]-0.0691[/C][C]0.472525[/C][/ROW]
[ROW][C]44[/C][C]-0.025721[/C][C]-0.2818[/C][C]0.389308[/C][/ROW]
[ROW][C]45[/C][C]-0.010896[/C][C]-0.1194[/C][C]0.452593[/C][/ROW]
[ROW][C]46[/C][C]-0.028635[/C][C]-0.3137[/C][C]0.377154[/C][/ROW]
[ROW][C]47[/C][C]0.001371[/C][C]0.015[/C][C]0.494021[/C][/ROW]
[ROW][C]48[/C][C]0.006873[/C][C]0.0753[/C][C]0.470056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79208&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79208&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
10.97517910.68250
2-0.025181-0.27580.391571
3-0.010671-0.11690.45357
4-0.00414-0.04530.481952
5-0.024116-0.26420.39605
6-0.004313-0.04720.481198
7-0.001099-0.0120.495207
8-0.037051-0.40590.342779
9-0.010979-0.12030.452237
10-0.018848-0.20650.418388
11-0.017407-0.19070.424546
120.0029380.03220.487191
13-0.023756-0.26020.397565
14-0.019385-0.21230.416097
15-0.002753-0.03020.487994
16-0.00851-0.09320.462942
17-0.018112-0.19840.421533
18-0.002108-0.02310.490806
190.0014230.01560.493793
20-0.041106-0.45030.326655
21-0.014215-0.15570.438257
22-0.019051-0.20870.417519
23-0.014365-0.15740.437614
24-0.001959-0.02150.491459
25-0.017109-0.18740.425824
26-0.02329-0.25510.399528
27-0.004494-0.04920.480409
28-0.023845-0.26120.397191
29-0.009177-0.10050.460047
30-0.008812-0.09650.461631
31-0.004943-0.05410.478455
32-0.036261-0.39720.345958
33-0.003988-0.04370.482613
34-0.026393-0.28910.386495
35-0.009003-0.09860.460799
36-0.003632-0.03980.484165
37-0.010573-0.11580.453992
38-0.027209-0.29810.383088
39-0.001593-0.01750.493052
40-0.025344-0.27760.390888
41-0.012864-0.14090.444085
42-0.005423-0.05940.476365
43-0.006305-0.06910.472525
44-0.025721-0.28180.389308
45-0.010896-0.11940.452593
46-0.028635-0.31370.377154
470.0013710.0150.494021
480.0068730.07530.470056



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')