Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 09:11:06 -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/2007/Nov/29/t1196352040d90uoge7be5emg5.htm/, Retrieved Fri, 03 May 2024 04:24:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7529, Retrieved Fri, 03 May 2024 04:24:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [workshop3] [2007-11-29 16:11:06] [9cd804c1ac16035a4cb2da1c6dfdb61e] [Current]
Feedback Forum

Post a new message
Dataseries X:
540
522
526
527
516
503
489
479
475
524
552
532
511
492
492
493
481
462
457
442
439
488
521
501
485
464
460
467
460
448
443
436
431
484
510
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7529&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7529&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7529&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
019.69540
10.9453259.16530
20.8812628.54410
30.8256598.00510
40.7824847.58650
50.7360357.13610
60.6851146.64240
70.6395966.20110
80.5835955.65820
90.5297255.13591e-06
100.4685074.54238e-06
110.4235234.10624.3e-05
120.3866923.74910.000153
130.3602183.49240.000366
140.3298723.19820.000942
150.2851112.76430.003433
160.2379022.30650.011638
170.1870761.81380.036452
180.1450421.40620.081476
190.0989350.95920.169958
200.054350.52690.299738
210.0037350.03620.485596
22-0.049828-0.48310.684926
23-0.099655-0.96620.831786
24-0.1483-1.43780.923097
25-0.184177-1.78570.96131
26-0.217146-2.10530.981035
27-0.238743-2.31470.988597
28-0.270252-2.62020.994876
29-0.299113-2.90.997677
30-0.333213-3.23060.999149
31-0.363687-3.52610.999673
32-0.380791-3.69190.999813
33-0.393268-3.81290.999877
34-0.397952-3.85830.999895
35-0.415244-4.02590.999943
36-0.436749-4.23440.999973
37-0.462596-4.4850.99999
38-0.47762-4.63070.999994
39-0.49297-4.77950.999997
40-0.501163-4.8590.999998
41-0.498531-4.83340.999997
42-0.499283-4.84070.999997
43-0.496851-4.81710.999997
44-0.498871-4.83670.999997
45-0.497816-4.82650.999997
46-0.48752-4.72670.999996
47-0.466899-4.52680.999991

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.6954 & 0 \tabularnewline
1 & 0.945325 & 9.1653 & 0 \tabularnewline
2 & 0.881262 & 8.5441 & 0 \tabularnewline
3 & 0.825659 & 8.0051 & 0 \tabularnewline
4 & 0.782484 & 7.5865 & 0 \tabularnewline
5 & 0.736035 & 7.1361 & 0 \tabularnewline
6 & 0.685114 & 6.6424 & 0 \tabularnewline
7 & 0.639596 & 6.2011 & 0 \tabularnewline
8 & 0.583595 & 5.6582 & 0 \tabularnewline
9 & 0.529725 & 5.1359 & 1e-06 \tabularnewline
10 & 0.468507 & 4.5423 & 8e-06 \tabularnewline
11 & 0.423523 & 4.1062 & 4.3e-05 \tabularnewline
12 & 0.386692 & 3.7491 & 0.000153 \tabularnewline
13 & 0.360218 & 3.4924 & 0.000366 \tabularnewline
14 & 0.329872 & 3.1982 & 0.000942 \tabularnewline
15 & 0.285111 & 2.7643 & 0.003433 \tabularnewline
16 & 0.237902 & 2.3065 & 0.011638 \tabularnewline
17 & 0.187076 & 1.8138 & 0.036452 \tabularnewline
18 & 0.145042 & 1.4062 & 0.081476 \tabularnewline
19 & 0.098935 & 0.9592 & 0.169958 \tabularnewline
20 & 0.05435 & 0.5269 & 0.299738 \tabularnewline
21 & 0.003735 & 0.0362 & 0.485596 \tabularnewline
22 & -0.049828 & -0.4831 & 0.684926 \tabularnewline
23 & -0.099655 & -0.9662 & 0.831786 \tabularnewline
24 & -0.1483 & -1.4378 & 0.923097 \tabularnewline
25 & -0.184177 & -1.7857 & 0.96131 \tabularnewline
26 & -0.217146 & -2.1053 & 0.981035 \tabularnewline
27 & -0.238743 & -2.3147 & 0.988597 \tabularnewline
28 & -0.270252 & -2.6202 & 0.994876 \tabularnewline
29 & -0.299113 & -2.9 & 0.997677 \tabularnewline
30 & -0.333213 & -3.2306 & 0.999149 \tabularnewline
31 & -0.363687 & -3.5261 & 0.999673 \tabularnewline
32 & -0.380791 & -3.6919 & 0.999813 \tabularnewline
33 & -0.393268 & -3.8129 & 0.999877 \tabularnewline
34 & -0.397952 & -3.8583 & 0.999895 \tabularnewline
35 & -0.415244 & -4.0259 & 0.999943 \tabularnewline
36 & -0.436749 & -4.2344 & 0.999973 \tabularnewline
37 & -0.462596 & -4.485 & 0.99999 \tabularnewline
38 & -0.47762 & -4.6307 & 0.999994 \tabularnewline
39 & -0.49297 & -4.7795 & 0.999997 \tabularnewline
40 & -0.501163 & -4.859 & 0.999998 \tabularnewline
41 & -0.498531 & -4.8334 & 0.999997 \tabularnewline
42 & -0.499283 & -4.8407 & 0.999997 \tabularnewline
43 & -0.496851 & -4.8171 & 0.999997 \tabularnewline
44 & -0.498871 & -4.8367 & 0.999997 \tabularnewline
45 & -0.497816 & -4.8265 & 0.999997 \tabularnewline
46 & -0.48752 & -4.7267 & 0.999996 \tabularnewline
47 & -0.466899 & -4.5268 & 0.999991 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7529&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]0[/C][C]1[/C][C]9.6954[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.945325[/C][C]9.1653[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.881262[/C][C]8.5441[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.825659[/C][C]8.0051[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.782484[/C][C]7.5865[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.736035[/C][C]7.1361[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.685114[/C][C]6.6424[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.639596[/C][C]6.2011[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.583595[/C][C]5.6582[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.529725[/C][C]5.1359[/C][C]1e-06[/C][/ROW]
[ROW][C]10[/C][C]0.468507[/C][C]4.5423[/C][C]8e-06[/C][/ROW]
[ROW][C]11[/C][C]0.423523[/C][C]4.1062[/C][C]4.3e-05[/C][/ROW]
[ROW][C]12[/C][C]0.386692[/C][C]3.7491[/C][C]0.000153[/C][/ROW]
[ROW][C]13[/C][C]0.360218[/C][C]3.4924[/C][C]0.000366[/C][/ROW]
[ROW][C]14[/C][C]0.329872[/C][C]3.1982[/C][C]0.000942[/C][/ROW]
[ROW][C]15[/C][C]0.285111[/C][C]2.7643[/C][C]0.003433[/C][/ROW]
[ROW][C]16[/C][C]0.237902[/C][C]2.3065[/C][C]0.011638[/C][/ROW]
[ROW][C]17[/C][C]0.187076[/C][C]1.8138[/C][C]0.036452[/C][/ROW]
[ROW][C]18[/C][C]0.145042[/C][C]1.4062[/C][C]0.081476[/C][/ROW]
[ROW][C]19[/C][C]0.098935[/C][C]0.9592[/C][C]0.169958[/C][/ROW]
[ROW][C]20[/C][C]0.05435[/C][C]0.5269[/C][C]0.299738[/C][/ROW]
[ROW][C]21[/C][C]0.003735[/C][C]0.0362[/C][C]0.485596[/C][/ROW]
[ROW][C]22[/C][C]-0.049828[/C][C]-0.4831[/C][C]0.684926[/C][/ROW]
[ROW][C]23[/C][C]-0.099655[/C][C]-0.9662[/C][C]0.831786[/C][/ROW]
[ROW][C]24[/C][C]-0.1483[/C][C]-1.4378[/C][C]0.923097[/C][/ROW]
[ROW][C]25[/C][C]-0.184177[/C][C]-1.7857[/C][C]0.96131[/C][/ROW]
[ROW][C]26[/C][C]-0.217146[/C][C]-2.1053[/C][C]0.981035[/C][/ROW]
[ROW][C]27[/C][C]-0.238743[/C][C]-2.3147[/C][C]0.988597[/C][/ROW]
[ROW][C]28[/C][C]-0.270252[/C][C]-2.6202[/C][C]0.994876[/C][/ROW]
[ROW][C]29[/C][C]-0.299113[/C][C]-2.9[/C][C]0.997677[/C][/ROW]
[ROW][C]30[/C][C]-0.333213[/C][C]-3.2306[/C][C]0.999149[/C][/ROW]
[ROW][C]31[/C][C]-0.363687[/C][C]-3.5261[/C][C]0.999673[/C][/ROW]
[ROW][C]32[/C][C]-0.380791[/C][C]-3.6919[/C][C]0.999813[/C][/ROW]
[ROW][C]33[/C][C]-0.393268[/C][C]-3.8129[/C][C]0.999877[/C][/ROW]
[ROW][C]34[/C][C]-0.397952[/C][C]-3.8583[/C][C]0.999895[/C][/ROW]
[ROW][C]35[/C][C]-0.415244[/C][C]-4.0259[/C][C]0.999943[/C][/ROW]
[ROW][C]36[/C][C]-0.436749[/C][C]-4.2344[/C][C]0.999973[/C][/ROW]
[ROW][C]37[/C][C]-0.462596[/C][C]-4.485[/C][C]0.99999[/C][/ROW]
[ROW][C]38[/C][C]-0.47762[/C][C]-4.6307[/C][C]0.999994[/C][/ROW]
[ROW][C]39[/C][C]-0.49297[/C][C]-4.7795[/C][C]0.999997[/C][/ROW]
[ROW][C]40[/C][C]-0.501163[/C][C]-4.859[/C][C]0.999998[/C][/ROW]
[ROW][C]41[/C][C]-0.498531[/C][C]-4.8334[/C][C]0.999997[/C][/ROW]
[ROW][C]42[/C][C]-0.499283[/C][C]-4.8407[/C][C]0.999997[/C][/ROW]
[ROW][C]43[/C][C]-0.496851[/C][C]-4.8171[/C][C]0.999997[/C][/ROW]
[ROW][C]44[/C][C]-0.498871[/C][C]-4.8367[/C][C]0.999997[/C][/ROW]
[ROW][C]45[/C][C]-0.497816[/C][C]-4.8265[/C][C]0.999997[/C][/ROW]
[ROW][C]46[/C][C]-0.48752[/C][C]-4.7267[/C][C]0.999996[/C][/ROW]
[ROW][C]47[/C][C]-0.466899[/C][C]-4.5268[/C][C]0.999991[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7529&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7529&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
019.69540
10.9453259.16530
20.8812628.54410
30.8256598.00510
40.7824847.58650
50.7360357.13610
60.6851146.64240
70.6395966.20110
80.5835955.65820
90.5297255.13591e-06
100.4685074.54238e-06
110.4235234.10624.3e-05
120.3866923.74910.000153
130.3602183.49240.000366
140.3298723.19820.000942
150.2851112.76430.003433
160.2379022.30650.011638
170.1870761.81380.036452
180.1450421.40620.081476
190.0989350.95920.169958
200.054350.52690.299738
210.0037350.03620.485596
22-0.049828-0.48310.684926
23-0.099655-0.96620.831786
24-0.1483-1.43780.923097
25-0.184177-1.78570.96131
26-0.217146-2.10530.981035
27-0.238743-2.31470.988597
28-0.270252-2.62020.994876
29-0.299113-2.90.997677
30-0.333213-3.23060.999149
31-0.363687-3.52610.999673
32-0.380791-3.69190.999813
33-0.393268-3.81290.999877
34-0.397952-3.85830.999895
35-0.415244-4.02590.999943
36-0.436749-4.23440.999973
37-0.462596-4.4850.99999
38-0.47762-4.63070.999994
39-0.49297-4.77950.999997
40-0.501163-4.8590.999998
41-0.498531-4.83340.999997
42-0.499283-4.84070.999997
43-0.496851-4.81710.999997
44-0.498871-4.83670.999997
45-0.497816-4.82650.999997
46-0.48752-4.72670.999996
47-0.466899-4.52680.999991







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9453259.16530
1-0.116367-1.12820.868951
20.0537780.52140.301658
30.0736150.71370.238582
4-0.069573-0.67450.749187
5-0.047361-0.45920.676417
60.0344060.33360.369721
7-0.152135-1.4750.928223
80.0089950.08720.465344
9-0.112909-1.09470.861777
100.1111881.0780.141894
110.0169750.16460.434814
120.0785890.76190.224
13-0.053247-0.51620.696553
14-0.123719-1.19950.883325
15-0.05371-0.52070.698114
16-0.072257-0.70060.757344
17-0.007869-0.07630.530324
18-0.073448-0.71210.760917
19-0.048605-0.47120.680719
20-0.085236-0.82640.794664
21-0.057501-0.55750.710742
220.0080660.07820.468916
23-0.025619-0.24840.597811
240.0428420.41540.339408
25-0.026075-0.25280.599516
260.0338650.32830.371693
27-0.119776-1.16130.875763
280.0137720.13350.447032
29-0.112678-1.09250.861287
30-0.020433-0.19810.578305
310.0345010.33450.369374
320.0021190.02050.491826
330.0220470.21380.4156
34-0.077692-0.75330.77341
35-0.08003-0.77590.780129
36-0.036821-0.3570.63905
370.0081580.07910.468563
38-0.08923-0.86510.805412
390.020210.19590.42254
400.0159970.15510.43854
41-0.045622-0.44230.670364
420.0177760.17230.431767
43-0.012454-0.12070.547924
44-0.068165-0.66090.744849
450.0586170.56830.28559
46-0.010767-0.10440.541461
470.0279260.27080.393587

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.945325 & 9.1653 & 0 \tabularnewline
1 & -0.116367 & -1.1282 & 0.868951 \tabularnewline
2 & 0.053778 & 0.5214 & 0.301658 \tabularnewline
3 & 0.073615 & 0.7137 & 0.238582 \tabularnewline
4 & -0.069573 & -0.6745 & 0.749187 \tabularnewline
5 & -0.047361 & -0.4592 & 0.676417 \tabularnewline
6 & 0.034406 & 0.3336 & 0.369721 \tabularnewline
7 & -0.152135 & -1.475 & 0.928223 \tabularnewline
8 & 0.008995 & 0.0872 & 0.465344 \tabularnewline
9 & -0.112909 & -1.0947 & 0.861777 \tabularnewline
10 & 0.111188 & 1.078 & 0.141894 \tabularnewline
11 & 0.016975 & 0.1646 & 0.434814 \tabularnewline
12 & 0.078589 & 0.7619 & 0.224 \tabularnewline
13 & -0.053247 & -0.5162 & 0.696553 \tabularnewline
14 & -0.123719 & -1.1995 & 0.883325 \tabularnewline
15 & -0.05371 & -0.5207 & 0.698114 \tabularnewline
16 & -0.072257 & -0.7006 & 0.757344 \tabularnewline
17 & -0.007869 & -0.0763 & 0.530324 \tabularnewline
18 & -0.073448 & -0.7121 & 0.760917 \tabularnewline
19 & -0.048605 & -0.4712 & 0.680719 \tabularnewline
20 & -0.085236 & -0.8264 & 0.794664 \tabularnewline
21 & -0.057501 & -0.5575 & 0.710742 \tabularnewline
22 & 0.008066 & 0.0782 & 0.468916 \tabularnewline
23 & -0.025619 & -0.2484 & 0.597811 \tabularnewline
24 & 0.042842 & 0.4154 & 0.339408 \tabularnewline
25 & -0.026075 & -0.2528 & 0.599516 \tabularnewline
26 & 0.033865 & 0.3283 & 0.371693 \tabularnewline
27 & -0.119776 & -1.1613 & 0.875763 \tabularnewline
28 & 0.013772 & 0.1335 & 0.447032 \tabularnewline
29 & -0.112678 & -1.0925 & 0.861287 \tabularnewline
30 & -0.020433 & -0.1981 & 0.578305 \tabularnewline
31 & 0.034501 & 0.3345 & 0.369374 \tabularnewline
32 & 0.002119 & 0.0205 & 0.491826 \tabularnewline
33 & 0.022047 & 0.2138 & 0.4156 \tabularnewline
34 & -0.077692 & -0.7533 & 0.77341 \tabularnewline
35 & -0.08003 & -0.7759 & 0.780129 \tabularnewline
36 & -0.036821 & -0.357 & 0.63905 \tabularnewline
37 & 0.008158 & 0.0791 & 0.468563 \tabularnewline
38 & -0.08923 & -0.8651 & 0.805412 \tabularnewline
39 & 0.02021 & 0.1959 & 0.42254 \tabularnewline
40 & 0.015997 & 0.1551 & 0.43854 \tabularnewline
41 & -0.045622 & -0.4423 & 0.670364 \tabularnewline
42 & 0.017776 & 0.1723 & 0.431767 \tabularnewline
43 & -0.012454 & -0.1207 & 0.547924 \tabularnewline
44 & -0.068165 & -0.6609 & 0.744849 \tabularnewline
45 & 0.058617 & 0.5683 & 0.28559 \tabularnewline
46 & -0.010767 & -0.1044 & 0.541461 \tabularnewline
47 & 0.027926 & 0.2708 & 0.393587 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7529&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]0[/C][C]0.945325[/C][C]9.1653[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.116367[/C][C]-1.1282[/C][C]0.868951[/C][/ROW]
[ROW][C]2[/C][C]0.053778[/C][C]0.5214[/C][C]0.301658[/C][/ROW]
[ROW][C]3[/C][C]0.073615[/C][C]0.7137[/C][C]0.238582[/C][/ROW]
[ROW][C]4[/C][C]-0.069573[/C][C]-0.6745[/C][C]0.749187[/C][/ROW]
[ROW][C]5[/C][C]-0.047361[/C][C]-0.4592[/C][C]0.676417[/C][/ROW]
[ROW][C]6[/C][C]0.034406[/C][C]0.3336[/C][C]0.369721[/C][/ROW]
[ROW][C]7[/C][C]-0.152135[/C][C]-1.475[/C][C]0.928223[/C][/ROW]
[ROW][C]8[/C][C]0.008995[/C][C]0.0872[/C][C]0.465344[/C][/ROW]
[ROW][C]9[/C][C]-0.112909[/C][C]-1.0947[/C][C]0.861777[/C][/ROW]
[ROW][C]10[/C][C]0.111188[/C][C]1.078[/C][C]0.141894[/C][/ROW]
[ROW][C]11[/C][C]0.016975[/C][C]0.1646[/C][C]0.434814[/C][/ROW]
[ROW][C]12[/C][C]0.078589[/C][C]0.7619[/C][C]0.224[/C][/ROW]
[ROW][C]13[/C][C]-0.053247[/C][C]-0.5162[/C][C]0.696553[/C][/ROW]
[ROW][C]14[/C][C]-0.123719[/C][C]-1.1995[/C][C]0.883325[/C][/ROW]
[ROW][C]15[/C][C]-0.05371[/C][C]-0.5207[/C][C]0.698114[/C][/ROW]
[ROW][C]16[/C][C]-0.072257[/C][C]-0.7006[/C][C]0.757344[/C][/ROW]
[ROW][C]17[/C][C]-0.007869[/C][C]-0.0763[/C][C]0.530324[/C][/ROW]
[ROW][C]18[/C][C]-0.073448[/C][C]-0.7121[/C][C]0.760917[/C][/ROW]
[ROW][C]19[/C][C]-0.048605[/C][C]-0.4712[/C][C]0.680719[/C][/ROW]
[ROW][C]20[/C][C]-0.085236[/C][C]-0.8264[/C][C]0.794664[/C][/ROW]
[ROW][C]21[/C][C]-0.057501[/C][C]-0.5575[/C][C]0.710742[/C][/ROW]
[ROW][C]22[/C][C]0.008066[/C][C]0.0782[/C][C]0.468916[/C][/ROW]
[ROW][C]23[/C][C]-0.025619[/C][C]-0.2484[/C][C]0.597811[/C][/ROW]
[ROW][C]24[/C][C]0.042842[/C][C]0.4154[/C][C]0.339408[/C][/ROW]
[ROW][C]25[/C][C]-0.026075[/C][C]-0.2528[/C][C]0.599516[/C][/ROW]
[ROW][C]26[/C][C]0.033865[/C][C]0.3283[/C][C]0.371693[/C][/ROW]
[ROW][C]27[/C][C]-0.119776[/C][C]-1.1613[/C][C]0.875763[/C][/ROW]
[ROW][C]28[/C][C]0.013772[/C][C]0.1335[/C][C]0.447032[/C][/ROW]
[ROW][C]29[/C][C]-0.112678[/C][C]-1.0925[/C][C]0.861287[/C][/ROW]
[ROW][C]30[/C][C]-0.020433[/C][C]-0.1981[/C][C]0.578305[/C][/ROW]
[ROW][C]31[/C][C]0.034501[/C][C]0.3345[/C][C]0.369374[/C][/ROW]
[ROW][C]32[/C][C]0.002119[/C][C]0.0205[/C][C]0.491826[/C][/ROW]
[ROW][C]33[/C][C]0.022047[/C][C]0.2138[/C][C]0.4156[/C][/ROW]
[ROW][C]34[/C][C]-0.077692[/C][C]-0.7533[/C][C]0.77341[/C][/ROW]
[ROW][C]35[/C][C]-0.08003[/C][C]-0.7759[/C][C]0.780129[/C][/ROW]
[ROW][C]36[/C][C]-0.036821[/C][C]-0.357[/C][C]0.63905[/C][/ROW]
[ROW][C]37[/C][C]0.008158[/C][C]0.0791[/C][C]0.468563[/C][/ROW]
[ROW][C]38[/C][C]-0.08923[/C][C]-0.8651[/C][C]0.805412[/C][/ROW]
[ROW][C]39[/C][C]0.02021[/C][C]0.1959[/C][C]0.42254[/C][/ROW]
[ROW][C]40[/C][C]0.015997[/C][C]0.1551[/C][C]0.43854[/C][/ROW]
[ROW][C]41[/C][C]-0.045622[/C][C]-0.4423[/C][C]0.670364[/C][/ROW]
[ROW][C]42[/C][C]0.017776[/C][C]0.1723[/C][C]0.431767[/C][/ROW]
[ROW][C]43[/C][C]-0.012454[/C][C]-0.1207[/C][C]0.547924[/C][/ROW]
[ROW][C]44[/C][C]-0.068165[/C][C]-0.6609[/C][C]0.744849[/C][/ROW]
[ROW][C]45[/C][C]0.058617[/C][C]0.5683[/C][C]0.28559[/C][/ROW]
[ROW][C]46[/C][C]-0.010767[/C][C]-0.1044[/C][C]0.541461[/C][/ROW]
[ROW][C]47[/C][C]0.027926[/C][C]0.2708[/C][C]0.393587[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7529&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7529&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
00.9453259.16530
1-0.116367-1.12820.868951
20.0537780.52140.301658
30.0736150.71370.238582
4-0.069573-0.67450.749187
5-0.047361-0.45920.676417
60.0344060.33360.369721
7-0.152135-1.4750.928223
80.0089950.08720.465344
9-0.112909-1.09470.861777
100.1111881.0780.141894
110.0169750.16460.434814
120.0785890.76190.224
13-0.053247-0.51620.696553
14-0.123719-1.19950.883325
15-0.05371-0.52070.698114
16-0.072257-0.70060.757344
17-0.007869-0.07630.530324
18-0.073448-0.71210.760917
19-0.048605-0.47120.680719
20-0.085236-0.82640.794664
21-0.057501-0.55750.710742
220.0080660.07820.468916
23-0.025619-0.24840.597811
240.0428420.41540.339408
25-0.026075-0.25280.599516
260.0338650.32830.371693
27-0.119776-1.16130.875763
280.0137720.13350.447032
29-0.112678-1.09250.861287
30-0.020433-0.19810.578305
310.0345010.33450.369374
320.0021190.02050.491826
330.0220470.21380.4156
34-0.077692-0.75330.77341
35-0.08003-0.77590.780129
36-0.036821-0.3570.63905
370.0081580.07910.468563
38-0.08923-0.86510.805412
390.020210.19590.42254
400.0159970.15510.43854
41-0.045622-0.44230.670364
420.0177760.17230.431767
43-0.012454-0.12070.547924
44-0.068165-0.66090.744849
450.0586170.56830.28559
46-0.010767-0.10440.541461
470.0279260.27080.393587



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')