Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 19 Dec 2008 07:57:38 -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/19/t1229698695esb2qxyrktnnidv.htm/, Retrieved Wed, 15 May 2024 09:34:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35164, Retrieved Wed, 15 May 2024 09:34:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [ACF werkloosheid] [2008-12-19 13:54:30] [063e4b67ad7d3a8a83eccec794cd5aa7]
-   P     [(Partial) Autocorrelation Function] [ACF werkloosheid ...] [2008-12-19 14:57:38] [6797a1f4a60918966297e9d9220cabc2] [Current]
Feedback Forum

Post a new message
Dataseries X:
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
565
542
527
510
514
517
508
493
490
469
478
528
534
518




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=35164&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=35164&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35164&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
1-0.06332-0.47380.318726
20.0443780.33210.370528
30.1129610.84530.200765
40.0533620.39930.345587
5-0.072957-0.5460.293631
60.0797160.59650.276609
70.0074480.05570.477876
80.0887690.66430.254616
9-0.0208-0.15570.438433
10-0.124908-0.93470.176972
110.1659491.24190.109734
12-0.28433-2.12770.018888
13-0.14846-1.1110.135663
140.0889080.66530.254285
15-0.054187-0.40550.343329
16-0.13763-1.02990.153735
170.0012380.00930.496319
180.0280380.20980.417286
190.0462430.34610.3653
200.0360250.26960.394233
21-0.017726-0.13270.447473
220.0268720.20110.420676
230.0221810.1660.434383
24-0.149428-1.11820.134124
25-0.035256-0.26380.39644
26-0.105741-0.79130.216057
270.0317680.23770.40648
28-0.045304-0.3390.367931
290.0899290.6730.251868
30-0.075426-0.56440.287356
31-0.041858-0.31320.377633
32-0.062924-0.47090.319777
33-0.039021-0.2920.385679
34-0.032018-0.23960.405756
35-0.017406-0.13030.448415
36-0.041471-0.31030.378727
370.0244770.18320.427664
380.1698241.27090.104518
39-0.073254-0.54820.292872
400.0215340.16110.436278
41-0.010332-0.07730.469322
42-0.039479-0.29540.384377
430.0098750.07390.470679
440.0311960.23350.408131
45-0.00497-0.03720.485231
460.0516920.38680.350174
47-0.054514-0.40790.342434
480.0194340.14540.442447
490.0563750.42190.337366
50-0.087261-0.6530.258214
510.025230.18880.425463
520.0242550.18150.428312
53-0.026648-0.19940.42133
540.0035520.02660.489445
550.0053980.04040.48396
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.06332 & -0.4738 & 0.318726 \tabularnewline
2 & 0.044378 & 0.3321 & 0.370528 \tabularnewline
3 & 0.112961 & 0.8453 & 0.200765 \tabularnewline
4 & 0.053362 & 0.3993 & 0.345587 \tabularnewline
5 & -0.072957 & -0.546 & 0.293631 \tabularnewline
6 & 0.079716 & 0.5965 & 0.276609 \tabularnewline
7 & 0.007448 & 0.0557 & 0.477876 \tabularnewline
8 & 0.088769 & 0.6643 & 0.254616 \tabularnewline
9 & -0.0208 & -0.1557 & 0.438433 \tabularnewline
10 & -0.124908 & -0.9347 & 0.176972 \tabularnewline
11 & 0.165949 & 1.2419 & 0.109734 \tabularnewline
12 & -0.28433 & -2.1277 & 0.018888 \tabularnewline
13 & -0.14846 & -1.111 & 0.135663 \tabularnewline
14 & 0.088908 & 0.6653 & 0.254285 \tabularnewline
15 & -0.054187 & -0.4055 & 0.343329 \tabularnewline
16 & -0.13763 & -1.0299 & 0.153735 \tabularnewline
17 & 0.001238 & 0.0093 & 0.496319 \tabularnewline
18 & 0.028038 & 0.2098 & 0.417286 \tabularnewline
19 & 0.046243 & 0.3461 & 0.3653 \tabularnewline
20 & 0.036025 & 0.2696 & 0.394233 \tabularnewline
21 & -0.017726 & -0.1327 & 0.447473 \tabularnewline
22 & 0.026872 & 0.2011 & 0.420676 \tabularnewline
23 & 0.022181 & 0.166 & 0.434383 \tabularnewline
24 & -0.149428 & -1.1182 & 0.134124 \tabularnewline
25 & -0.035256 & -0.2638 & 0.39644 \tabularnewline
26 & -0.105741 & -0.7913 & 0.216057 \tabularnewline
27 & 0.031768 & 0.2377 & 0.40648 \tabularnewline
28 & -0.045304 & -0.339 & 0.367931 \tabularnewline
29 & 0.089929 & 0.673 & 0.251868 \tabularnewline
30 & -0.075426 & -0.5644 & 0.287356 \tabularnewline
31 & -0.041858 & -0.3132 & 0.377633 \tabularnewline
32 & -0.062924 & -0.4709 & 0.319777 \tabularnewline
33 & -0.039021 & -0.292 & 0.385679 \tabularnewline
34 & -0.032018 & -0.2396 & 0.405756 \tabularnewline
35 & -0.017406 & -0.1303 & 0.448415 \tabularnewline
36 & -0.041471 & -0.3103 & 0.378727 \tabularnewline
37 & 0.024477 & 0.1832 & 0.427664 \tabularnewline
38 & 0.169824 & 1.2709 & 0.104518 \tabularnewline
39 & -0.073254 & -0.5482 & 0.292872 \tabularnewline
40 & 0.021534 & 0.1611 & 0.436278 \tabularnewline
41 & -0.010332 & -0.0773 & 0.469322 \tabularnewline
42 & -0.039479 & -0.2954 & 0.384377 \tabularnewline
43 & 0.009875 & 0.0739 & 0.470679 \tabularnewline
44 & 0.031196 & 0.2335 & 0.408131 \tabularnewline
45 & -0.00497 & -0.0372 & 0.485231 \tabularnewline
46 & 0.051692 & 0.3868 & 0.350174 \tabularnewline
47 & -0.054514 & -0.4079 & 0.342434 \tabularnewline
48 & 0.019434 & 0.1454 & 0.442447 \tabularnewline
49 & 0.056375 & 0.4219 & 0.337366 \tabularnewline
50 & -0.087261 & -0.653 & 0.258214 \tabularnewline
51 & 0.02523 & 0.1888 & 0.425463 \tabularnewline
52 & 0.024255 & 0.1815 & 0.428312 \tabularnewline
53 & -0.026648 & -0.1994 & 0.42133 \tabularnewline
54 & 0.003552 & 0.0266 & 0.489445 \tabularnewline
55 & 0.005398 & 0.0404 & 0.48396 \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35164&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]-0.06332[/C][C]-0.4738[/C][C]0.318726[/C][/ROW]
[ROW][C]2[/C][C]0.044378[/C][C]0.3321[/C][C]0.370528[/C][/ROW]
[ROW][C]3[/C][C]0.112961[/C][C]0.8453[/C][C]0.200765[/C][/ROW]
[ROW][C]4[/C][C]0.053362[/C][C]0.3993[/C][C]0.345587[/C][/ROW]
[ROW][C]5[/C][C]-0.072957[/C][C]-0.546[/C][C]0.293631[/C][/ROW]
[ROW][C]6[/C][C]0.079716[/C][C]0.5965[/C][C]0.276609[/C][/ROW]
[ROW][C]7[/C][C]0.007448[/C][C]0.0557[/C][C]0.477876[/C][/ROW]
[ROW][C]8[/C][C]0.088769[/C][C]0.6643[/C][C]0.254616[/C][/ROW]
[ROW][C]9[/C][C]-0.0208[/C][C]-0.1557[/C][C]0.438433[/C][/ROW]
[ROW][C]10[/C][C]-0.124908[/C][C]-0.9347[/C][C]0.176972[/C][/ROW]
[ROW][C]11[/C][C]0.165949[/C][C]1.2419[/C][C]0.109734[/C][/ROW]
[ROW][C]12[/C][C]-0.28433[/C][C]-2.1277[/C][C]0.018888[/C][/ROW]
[ROW][C]13[/C][C]-0.14846[/C][C]-1.111[/C][C]0.135663[/C][/ROW]
[ROW][C]14[/C][C]0.088908[/C][C]0.6653[/C][C]0.254285[/C][/ROW]
[ROW][C]15[/C][C]-0.054187[/C][C]-0.4055[/C][C]0.343329[/C][/ROW]
[ROW][C]16[/C][C]-0.13763[/C][C]-1.0299[/C][C]0.153735[/C][/ROW]
[ROW][C]17[/C][C]0.001238[/C][C]0.0093[/C][C]0.496319[/C][/ROW]
[ROW][C]18[/C][C]0.028038[/C][C]0.2098[/C][C]0.417286[/C][/ROW]
[ROW][C]19[/C][C]0.046243[/C][C]0.3461[/C][C]0.3653[/C][/ROW]
[ROW][C]20[/C][C]0.036025[/C][C]0.2696[/C][C]0.394233[/C][/ROW]
[ROW][C]21[/C][C]-0.017726[/C][C]-0.1327[/C][C]0.447473[/C][/ROW]
[ROW][C]22[/C][C]0.026872[/C][C]0.2011[/C][C]0.420676[/C][/ROW]
[ROW][C]23[/C][C]0.022181[/C][C]0.166[/C][C]0.434383[/C][/ROW]
[ROW][C]24[/C][C]-0.149428[/C][C]-1.1182[/C][C]0.134124[/C][/ROW]
[ROW][C]25[/C][C]-0.035256[/C][C]-0.2638[/C][C]0.39644[/C][/ROW]
[ROW][C]26[/C][C]-0.105741[/C][C]-0.7913[/C][C]0.216057[/C][/ROW]
[ROW][C]27[/C][C]0.031768[/C][C]0.2377[/C][C]0.40648[/C][/ROW]
[ROW][C]28[/C][C]-0.045304[/C][C]-0.339[/C][C]0.367931[/C][/ROW]
[ROW][C]29[/C][C]0.089929[/C][C]0.673[/C][C]0.251868[/C][/ROW]
[ROW][C]30[/C][C]-0.075426[/C][C]-0.5644[/C][C]0.287356[/C][/ROW]
[ROW][C]31[/C][C]-0.041858[/C][C]-0.3132[/C][C]0.377633[/C][/ROW]
[ROW][C]32[/C][C]-0.062924[/C][C]-0.4709[/C][C]0.319777[/C][/ROW]
[ROW][C]33[/C][C]-0.039021[/C][C]-0.292[/C][C]0.385679[/C][/ROW]
[ROW][C]34[/C][C]-0.032018[/C][C]-0.2396[/C][C]0.405756[/C][/ROW]
[ROW][C]35[/C][C]-0.017406[/C][C]-0.1303[/C][C]0.448415[/C][/ROW]
[ROW][C]36[/C][C]-0.041471[/C][C]-0.3103[/C][C]0.378727[/C][/ROW]
[ROW][C]37[/C][C]0.024477[/C][C]0.1832[/C][C]0.427664[/C][/ROW]
[ROW][C]38[/C][C]0.169824[/C][C]1.2709[/C][C]0.104518[/C][/ROW]
[ROW][C]39[/C][C]-0.073254[/C][C]-0.5482[/C][C]0.292872[/C][/ROW]
[ROW][C]40[/C][C]0.021534[/C][C]0.1611[/C][C]0.436278[/C][/ROW]
[ROW][C]41[/C][C]-0.010332[/C][C]-0.0773[/C][C]0.469322[/C][/ROW]
[ROW][C]42[/C][C]-0.039479[/C][C]-0.2954[/C][C]0.384377[/C][/ROW]
[ROW][C]43[/C][C]0.009875[/C][C]0.0739[/C][C]0.470679[/C][/ROW]
[ROW][C]44[/C][C]0.031196[/C][C]0.2335[/C][C]0.408131[/C][/ROW]
[ROW][C]45[/C][C]-0.00497[/C][C]-0.0372[/C][C]0.485231[/C][/ROW]
[ROW][C]46[/C][C]0.051692[/C][C]0.3868[/C][C]0.350174[/C][/ROW]
[ROW][C]47[/C][C]-0.054514[/C][C]-0.4079[/C][C]0.342434[/C][/ROW]
[ROW][C]48[/C][C]0.019434[/C][C]0.1454[/C][C]0.442447[/C][/ROW]
[ROW][C]49[/C][C]0.056375[/C][C]0.4219[/C][C]0.337366[/C][/ROW]
[ROW][C]50[/C][C]-0.087261[/C][C]-0.653[/C][C]0.258214[/C][/ROW]
[ROW][C]51[/C][C]0.02523[/C][C]0.1888[/C][C]0.425463[/C][/ROW]
[ROW][C]52[/C][C]0.024255[/C][C]0.1815[/C][C]0.428312[/C][/ROW]
[ROW][C]53[/C][C]-0.026648[/C][C]-0.1994[/C][C]0.42133[/C][/ROW]
[ROW][C]54[/C][C]0.003552[/C][C]0.0266[/C][C]0.489445[/C][/ROW]
[ROW][C]55[/C][C]0.005398[/C][C]0.0404[/C][C]0.48396[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35164&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35164&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
1-0.06332-0.47380.318726
20.0443780.33210.370528
30.1129610.84530.200765
40.0533620.39930.345587
5-0.072957-0.5460.293631
60.0797160.59650.276609
70.0074480.05570.477876
80.0887690.66430.254616
9-0.0208-0.15570.438433
10-0.124908-0.93470.176972
110.1659491.24190.109734
12-0.28433-2.12770.018888
13-0.14846-1.1110.135663
140.0889080.66530.254285
15-0.054187-0.40550.343329
16-0.13763-1.02990.153735
170.0012380.00930.496319
180.0280380.20980.417286
190.0462430.34610.3653
200.0360250.26960.394233
21-0.017726-0.13270.447473
220.0268720.20110.420676
230.0221810.1660.434383
24-0.149428-1.11820.134124
25-0.035256-0.26380.39644
26-0.105741-0.79130.216057
270.0317680.23770.40648
28-0.045304-0.3390.367931
290.0899290.6730.251868
30-0.075426-0.56440.287356
31-0.041858-0.31320.377633
32-0.062924-0.47090.319777
33-0.039021-0.2920.385679
34-0.032018-0.23960.405756
35-0.017406-0.13030.448415
36-0.041471-0.31030.378727
370.0244770.18320.427664
380.1698241.27090.104518
39-0.073254-0.54820.292872
400.0215340.16110.436278
41-0.010332-0.07730.469322
42-0.039479-0.29540.384377
430.0098750.07390.470679
440.0311960.23350.408131
45-0.00497-0.03720.485231
460.0516920.38680.350174
47-0.054514-0.40790.342434
480.0194340.14540.442447
490.0563750.42190.337366
50-0.087261-0.6530.258214
510.025230.18880.425463
520.0242550.18150.428312
53-0.026648-0.19940.42133
540.0035520.02660.489445
550.0053980.04040.48396
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.06332-0.47380.318726
20.0405310.30330.38139
30.1188950.88970.18871
40.0675080.50520.307706
5-0.077122-0.57710.283083
60.0514380.38490.350874
70.0100580.07530.470134
80.1007680.75410.226981
9-0.017422-0.13040.448368
10-0.158469-1.18590.12034
110.1457131.09040.1401
12-0.283052-2.11820.019306
13-0.156877-1.1740.12269
140.0821380.61470.270633
15-0.021261-0.15910.43708
16-0.055667-0.41660.339293
17-0.075333-0.56370.28759
180.0899710.67330.251769
190.113370.84840.199919
200.0864180.64670.260237
210.0291890.21840.413942
22-0.114848-0.85940.19688
230.0951910.71230.239605
24-0.188648-1.41170.081784
25-0.223468-1.67230.050024
26-0.156375-1.17020.123437
270.0621020.46470.321965
28-0.047774-0.35750.361029
290.0358050.26790.394865
300.0139570.10440.458595
310.0227030.16990.432853
320.0693990.51930.302788
33-0.000283-0.00210.499159
34-0.062595-0.46840.320652
350.0451620.3380.368327
36-0.114526-0.8570.197539
37-0.138526-1.03660.152181
380.0653640.48910.313326
39-0.00992-0.07420.470545
40-0.071765-0.5370.296684
41-0.07594-0.56830.286057
42-0.045034-0.3370.368688
430.062640.46880.320534
440.1054950.78950.216588
450.0586990.43930.331079
46-0.014974-0.11210.455591
47-0.028221-0.21120.416755
48-0.010021-0.0750.470245
49-0.10744-0.8040.212397
50-0.079694-0.59640.276664
510.0309980.2320.408703
52-0.125022-0.93560.176754
530.0043140.03230.48718
540.0172130.12880.448985
550.0369750.27670.391517
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.06332 & -0.4738 & 0.318726 \tabularnewline
2 & 0.040531 & 0.3033 & 0.38139 \tabularnewline
3 & 0.118895 & 0.8897 & 0.18871 \tabularnewline
4 & 0.067508 & 0.5052 & 0.307706 \tabularnewline
5 & -0.077122 & -0.5771 & 0.283083 \tabularnewline
6 & 0.051438 & 0.3849 & 0.350874 \tabularnewline
7 & 0.010058 & 0.0753 & 0.470134 \tabularnewline
8 & 0.100768 & 0.7541 & 0.226981 \tabularnewline
9 & -0.017422 & -0.1304 & 0.448368 \tabularnewline
10 & -0.158469 & -1.1859 & 0.12034 \tabularnewline
11 & 0.145713 & 1.0904 & 0.1401 \tabularnewline
12 & -0.283052 & -2.1182 & 0.019306 \tabularnewline
13 & -0.156877 & -1.174 & 0.12269 \tabularnewline
14 & 0.082138 & 0.6147 & 0.270633 \tabularnewline
15 & -0.021261 & -0.1591 & 0.43708 \tabularnewline
16 & -0.055667 & -0.4166 & 0.339293 \tabularnewline
17 & -0.075333 & -0.5637 & 0.28759 \tabularnewline
18 & 0.089971 & 0.6733 & 0.251769 \tabularnewline
19 & 0.11337 & 0.8484 & 0.199919 \tabularnewline
20 & 0.086418 & 0.6467 & 0.260237 \tabularnewline
21 & 0.029189 & 0.2184 & 0.413942 \tabularnewline
22 & -0.114848 & -0.8594 & 0.19688 \tabularnewline
23 & 0.095191 & 0.7123 & 0.239605 \tabularnewline
24 & -0.188648 & -1.4117 & 0.081784 \tabularnewline
25 & -0.223468 & -1.6723 & 0.050024 \tabularnewline
26 & -0.156375 & -1.1702 & 0.123437 \tabularnewline
27 & 0.062102 & 0.4647 & 0.321965 \tabularnewline
28 & -0.047774 & -0.3575 & 0.361029 \tabularnewline
29 & 0.035805 & 0.2679 & 0.394865 \tabularnewline
30 & 0.013957 & 0.1044 & 0.458595 \tabularnewline
31 & 0.022703 & 0.1699 & 0.432853 \tabularnewline
32 & 0.069399 & 0.5193 & 0.302788 \tabularnewline
33 & -0.000283 & -0.0021 & 0.499159 \tabularnewline
34 & -0.062595 & -0.4684 & 0.320652 \tabularnewline
35 & 0.045162 & 0.338 & 0.368327 \tabularnewline
36 & -0.114526 & -0.857 & 0.197539 \tabularnewline
37 & -0.138526 & -1.0366 & 0.152181 \tabularnewline
38 & 0.065364 & 0.4891 & 0.313326 \tabularnewline
39 & -0.00992 & -0.0742 & 0.470545 \tabularnewline
40 & -0.071765 & -0.537 & 0.296684 \tabularnewline
41 & -0.07594 & -0.5683 & 0.286057 \tabularnewline
42 & -0.045034 & -0.337 & 0.368688 \tabularnewline
43 & 0.06264 & 0.4688 & 0.320534 \tabularnewline
44 & 0.105495 & 0.7895 & 0.216588 \tabularnewline
45 & 0.058699 & 0.4393 & 0.331079 \tabularnewline
46 & -0.014974 & -0.1121 & 0.455591 \tabularnewline
47 & -0.028221 & -0.2112 & 0.416755 \tabularnewline
48 & -0.010021 & -0.075 & 0.470245 \tabularnewline
49 & -0.10744 & -0.804 & 0.212397 \tabularnewline
50 & -0.079694 & -0.5964 & 0.276664 \tabularnewline
51 & 0.030998 & 0.232 & 0.408703 \tabularnewline
52 & -0.125022 & -0.9356 & 0.176754 \tabularnewline
53 & 0.004314 & 0.0323 & 0.48718 \tabularnewline
54 & 0.017213 & 0.1288 & 0.448985 \tabularnewline
55 & 0.036975 & 0.2767 & 0.391517 \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35164&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]-0.06332[/C][C]-0.4738[/C][C]0.318726[/C][/ROW]
[ROW][C]2[/C][C]0.040531[/C][C]0.3033[/C][C]0.38139[/C][/ROW]
[ROW][C]3[/C][C]0.118895[/C][C]0.8897[/C][C]0.18871[/C][/ROW]
[ROW][C]4[/C][C]0.067508[/C][C]0.5052[/C][C]0.307706[/C][/ROW]
[ROW][C]5[/C][C]-0.077122[/C][C]-0.5771[/C][C]0.283083[/C][/ROW]
[ROW][C]6[/C][C]0.051438[/C][C]0.3849[/C][C]0.350874[/C][/ROW]
[ROW][C]7[/C][C]0.010058[/C][C]0.0753[/C][C]0.470134[/C][/ROW]
[ROW][C]8[/C][C]0.100768[/C][C]0.7541[/C][C]0.226981[/C][/ROW]
[ROW][C]9[/C][C]-0.017422[/C][C]-0.1304[/C][C]0.448368[/C][/ROW]
[ROW][C]10[/C][C]-0.158469[/C][C]-1.1859[/C][C]0.12034[/C][/ROW]
[ROW][C]11[/C][C]0.145713[/C][C]1.0904[/C][C]0.1401[/C][/ROW]
[ROW][C]12[/C][C]-0.283052[/C][C]-2.1182[/C][C]0.019306[/C][/ROW]
[ROW][C]13[/C][C]-0.156877[/C][C]-1.174[/C][C]0.12269[/C][/ROW]
[ROW][C]14[/C][C]0.082138[/C][C]0.6147[/C][C]0.270633[/C][/ROW]
[ROW][C]15[/C][C]-0.021261[/C][C]-0.1591[/C][C]0.43708[/C][/ROW]
[ROW][C]16[/C][C]-0.055667[/C][C]-0.4166[/C][C]0.339293[/C][/ROW]
[ROW][C]17[/C][C]-0.075333[/C][C]-0.5637[/C][C]0.28759[/C][/ROW]
[ROW][C]18[/C][C]0.089971[/C][C]0.6733[/C][C]0.251769[/C][/ROW]
[ROW][C]19[/C][C]0.11337[/C][C]0.8484[/C][C]0.199919[/C][/ROW]
[ROW][C]20[/C][C]0.086418[/C][C]0.6467[/C][C]0.260237[/C][/ROW]
[ROW][C]21[/C][C]0.029189[/C][C]0.2184[/C][C]0.413942[/C][/ROW]
[ROW][C]22[/C][C]-0.114848[/C][C]-0.8594[/C][C]0.19688[/C][/ROW]
[ROW][C]23[/C][C]0.095191[/C][C]0.7123[/C][C]0.239605[/C][/ROW]
[ROW][C]24[/C][C]-0.188648[/C][C]-1.4117[/C][C]0.081784[/C][/ROW]
[ROW][C]25[/C][C]-0.223468[/C][C]-1.6723[/C][C]0.050024[/C][/ROW]
[ROW][C]26[/C][C]-0.156375[/C][C]-1.1702[/C][C]0.123437[/C][/ROW]
[ROW][C]27[/C][C]0.062102[/C][C]0.4647[/C][C]0.321965[/C][/ROW]
[ROW][C]28[/C][C]-0.047774[/C][C]-0.3575[/C][C]0.361029[/C][/ROW]
[ROW][C]29[/C][C]0.035805[/C][C]0.2679[/C][C]0.394865[/C][/ROW]
[ROW][C]30[/C][C]0.013957[/C][C]0.1044[/C][C]0.458595[/C][/ROW]
[ROW][C]31[/C][C]0.022703[/C][C]0.1699[/C][C]0.432853[/C][/ROW]
[ROW][C]32[/C][C]0.069399[/C][C]0.5193[/C][C]0.302788[/C][/ROW]
[ROW][C]33[/C][C]-0.000283[/C][C]-0.0021[/C][C]0.499159[/C][/ROW]
[ROW][C]34[/C][C]-0.062595[/C][C]-0.4684[/C][C]0.320652[/C][/ROW]
[ROW][C]35[/C][C]0.045162[/C][C]0.338[/C][C]0.368327[/C][/ROW]
[ROW][C]36[/C][C]-0.114526[/C][C]-0.857[/C][C]0.197539[/C][/ROW]
[ROW][C]37[/C][C]-0.138526[/C][C]-1.0366[/C][C]0.152181[/C][/ROW]
[ROW][C]38[/C][C]0.065364[/C][C]0.4891[/C][C]0.313326[/C][/ROW]
[ROW][C]39[/C][C]-0.00992[/C][C]-0.0742[/C][C]0.470545[/C][/ROW]
[ROW][C]40[/C][C]-0.071765[/C][C]-0.537[/C][C]0.296684[/C][/ROW]
[ROW][C]41[/C][C]-0.07594[/C][C]-0.5683[/C][C]0.286057[/C][/ROW]
[ROW][C]42[/C][C]-0.045034[/C][C]-0.337[/C][C]0.368688[/C][/ROW]
[ROW][C]43[/C][C]0.06264[/C][C]0.4688[/C][C]0.320534[/C][/ROW]
[ROW][C]44[/C][C]0.105495[/C][C]0.7895[/C][C]0.216588[/C][/ROW]
[ROW][C]45[/C][C]0.058699[/C][C]0.4393[/C][C]0.331079[/C][/ROW]
[ROW][C]46[/C][C]-0.014974[/C][C]-0.1121[/C][C]0.455591[/C][/ROW]
[ROW][C]47[/C][C]-0.028221[/C][C]-0.2112[/C][C]0.416755[/C][/ROW]
[ROW][C]48[/C][C]-0.010021[/C][C]-0.075[/C][C]0.470245[/C][/ROW]
[ROW][C]49[/C][C]-0.10744[/C][C]-0.804[/C][C]0.212397[/C][/ROW]
[ROW][C]50[/C][C]-0.079694[/C][C]-0.5964[/C][C]0.276664[/C][/ROW]
[ROW][C]51[/C][C]0.030998[/C][C]0.232[/C][C]0.408703[/C][/ROW]
[ROW][C]52[/C][C]-0.125022[/C][C]-0.9356[/C][C]0.176754[/C][/ROW]
[ROW][C]53[/C][C]0.004314[/C][C]0.0323[/C][C]0.48718[/C][/ROW]
[ROW][C]54[/C][C]0.017213[/C][C]0.1288[/C][C]0.448985[/C][/ROW]
[ROW][C]55[/C][C]0.036975[/C][C]0.2767[/C][C]0.391517[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35164&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35164&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
1-0.06332-0.47380.318726
20.0405310.30330.38139
30.1188950.88970.18871
40.0675080.50520.307706
5-0.077122-0.57710.283083
60.0514380.38490.350874
70.0100580.07530.470134
80.1007680.75410.226981
9-0.017422-0.13040.448368
10-0.158469-1.18590.12034
110.1457131.09040.1401
12-0.283052-2.11820.019306
13-0.156877-1.1740.12269
140.0821380.61470.270633
15-0.021261-0.15910.43708
16-0.055667-0.41660.339293
17-0.075333-0.56370.28759
180.0899710.67330.251769
190.113370.84840.199919
200.0864180.64670.260237
210.0291890.21840.413942
22-0.114848-0.85940.19688
230.0951910.71230.239605
24-0.188648-1.41170.081784
25-0.223468-1.67230.050024
26-0.156375-1.17020.123437
270.0621020.46470.321965
28-0.047774-0.35750.361029
290.0358050.26790.394865
300.0139570.10440.458595
310.0227030.16990.432853
320.0693990.51930.302788
33-0.000283-0.00210.499159
34-0.062595-0.46840.320652
350.0451620.3380.368327
36-0.114526-0.8570.197539
37-0.138526-1.03660.152181
380.0653640.48910.313326
39-0.00992-0.07420.470545
40-0.071765-0.5370.296684
41-0.07594-0.56830.286057
42-0.045034-0.3370.368688
430.062640.46880.320534
440.1054950.78950.216588
450.0586990.43930.331079
46-0.014974-0.11210.455591
47-0.028221-0.21120.416755
48-0.010021-0.0750.470245
49-0.10744-0.8040.212397
50-0.079694-0.59640.276664
510.0309980.2320.408703
52-0.125022-0.93560.176754
530.0043140.03230.48718
540.0172130.12880.448985
550.0369750.27670.391517
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; 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 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')