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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 18 Dec 2008 08:14:11 -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/18/t1229613286nwh6fk06coa81cd.htm/, Retrieved Sat, 11 May 2024 06:30:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34832, Retrieved Sat, 11 May 2024 06:30:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSeverijns Britt
Estimated Impact177
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ARIMA Forecasting] [paper forcasting] [2008-12-18 13:18:00] [9ea94c8297ec7e569f27218c1d8ea30f]
- RMP     [(Partial) Autocorrelation Function] [paper ACF d 1] [2008-12-18 15:14:11] [78308c9f3efc33d1da821bcd963df161] [Current]
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Dataseries X:
492865
480961
461935
456608
441977
439148
488180
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590




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=34832&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=34832&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34832&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
10.26932.73310.003693
2-0.181078-1.83770.034491
3-0.284281-2.88510.002383
4-0.295946-3.00350.001675
50.0205080.20810.417769
60.1822281.84940.033633
70.0383360.38910.349014
8-0.262736-2.66650.004451
9-0.256026-2.59840.005369
10-0.177627-1.80270.037178
110.2648852.68830.004189
120.798698.10580
130.1937941.96680.025948
14-0.123225-1.25060.106957
15-0.261859-2.65760.004562
16-0.270442-2.74470.003574
170.0116710.11840.452972
180.1353611.37380.086249
190.0147180.14940.440775
20-0.257828-2.61670.005107
21-0.243241-2.46860.007604
22-0.126283-1.28160.101425
230.2426172.46230.007732
240.6488566.58520
250.1299821.31920.095019
26-0.141954-1.44070.076354
27-0.233595-2.37070.009807
28-0.214489-2.17680.015889
290.0219680.22290.412008
300.0975260.98980.1623
31-0.00677-0.06870.472678
32-0.237344-2.40880.008891
33-0.204952-2.080.020002
34-0.112077-1.13750.128994
350.2047122.07760.020117
360.56765.76050
370.1215071.23320.110162
38-0.12763-1.29530.099055
39-0.237994-2.41540.00874
40-0.190891-1.93730.027722
410.0069550.07060.471932
420.0875390.88840.188192
43-0.000965-0.00980.4961
44-0.209321-2.12440.018016
45-0.169099-1.71620.044569
46-0.096322-0.97760.165291
470.1659761.68450.047559
480.4692984.76293e-06
490.104731.06290.145157
50-0.110504-1.12150.132343
51-0.183714-1.86450.03255
52-0.151496-1.53750.063616
53-0.018348-0.18620.426322
540.0781730.79340.214693
55-0.005757-0.05840.476763
56-0.165656-1.68120.047875
57-0.118816-1.20580.115319
58-0.081561-0.82780.204863
590.1519931.54260.063002
600.3909313.96756.7e-05

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.2693 & 2.7331 & 0.003693 \tabularnewline
2 & -0.181078 & -1.8377 & 0.034491 \tabularnewline
3 & -0.284281 & -2.8851 & 0.002383 \tabularnewline
4 & -0.295946 & -3.0035 & 0.001675 \tabularnewline
5 & 0.020508 & 0.2081 & 0.417769 \tabularnewline
6 & 0.182228 & 1.8494 & 0.033633 \tabularnewline
7 & 0.038336 & 0.3891 & 0.349014 \tabularnewline
8 & -0.262736 & -2.6665 & 0.004451 \tabularnewline
9 & -0.256026 & -2.5984 & 0.005369 \tabularnewline
10 & -0.177627 & -1.8027 & 0.037178 \tabularnewline
11 & 0.264885 & 2.6883 & 0.004189 \tabularnewline
12 & 0.79869 & 8.1058 & 0 \tabularnewline
13 & 0.193794 & 1.9668 & 0.025948 \tabularnewline
14 & -0.123225 & -1.2506 & 0.106957 \tabularnewline
15 & -0.261859 & -2.6576 & 0.004562 \tabularnewline
16 & -0.270442 & -2.7447 & 0.003574 \tabularnewline
17 & 0.011671 & 0.1184 & 0.452972 \tabularnewline
18 & 0.135361 & 1.3738 & 0.086249 \tabularnewline
19 & 0.014718 & 0.1494 & 0.440775 \tabularnewline
20 & -0.257828 & -2.6167 & 0.005107 \tabularnewline
21 & -0.243241 & -2.4686 & 0.007604 \tabularnewline
22 & -0.126283 & -1.2816 & 0.101425 \tabularnewline
23 & 0.242617 & 2.4623 & 0.007732 \tabularnewline
24 & 0.648856 & 6.5852 & 0 \tabularnewline
25 & 0.129982 & 1.3192 & 0.095019 \tabularnewline
26 & -0.141954 & -1.4407 & 0.076354 \tabularnewline
27 & -0.233595 & -2.3707 & 0.009807 \tabularnewline
28 & -0.214489 & -2.1768 & 0.015889 \tabularnewline
29 & 0.021968 & 0.2229 & 0.412008 \tabularnewline
30 & 0.097526 & 0.9898 & 0.1623 \tabularnewline
31 & -0.00677 & -0.0687 & 0.472678 \tabularnewline
32 & -0.237344 & -2.4088 & 0.008891 \tabularnewline
33 & -0.204952 & -2.08 & 0.020002 \tabularnewline
34 & -0.112077 & -1.1375 & 0.128994 \tabularnewline
35 & 0.204712 & 2.0776 & 0.020117 \tabularnewline
36 & 0.5676 & 5.7605 & 0 \tabularnewline
37 & 0.121507 & 1.2332 & 0.110162 \tabularnewline
38 & -0.12763 & -1.2953 & 0.099055 \tabularnewline
39 & -0.237994 & -2.4154 & 0.00874 \tabularnewline
40 & -0.190891 & -1.9373 & 0.027722 \tabularnewline
41 & 0.006955 & 0.0706 & 0.471932 \tabularnewline
42 & 0.087539 & 0.8884 & 0.188192 \tabularnewline
43 & -0.000965 & -0.0098 & 0.4961 \tabularnewline
44 & -0.209321 & -2.1244 & 0.018016 \tabularnewline
45 & -0.169099 & -1.7162 & 0.044569 \tabularnewline
46 & -0.096322 & -0.9776 & 0.165291 \tabularnewline
47 & 0.165976 & 1.6845 & 0.047559 \tabularnewline
48 & 0.469298 & 4.7629 & 3e-06 \tabularnewline
49 & 0.10473 & 1.0629 & 0.145157 \tabularnewline
50 & -0.110504 & -1.1215 & 0.132343 \tabularnewline
51 & -0.183714 & -1.8645 & 0.03255 \tabularnewline
52 & -0.151496 & -1.5375 & 0.063616 \tabularnewline
53 & -0.018348 & -0.1862 & 0.426322 \tabularnewline
54 & 0.078173 & 0.7934 & 0.214693 \tabularnewline
55 & -0.005757 & -0.0584 & 0.476763 \tabularnewline
56 & -0.165656 & -1.6812 & 0.047875 \tabularnewline
57 & -0.118816 & -1.2058 & 0.115319 \tabularnewline
58 & -0.081561 & -0.8278 & 0.204863 \tabularnewline
59 & 0.151993 & 1.5426 & 0.063002 \tabularnewline
60 & 0.390931 & 3.9675 & 6.7e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34832&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]0.2693[/C][C]2.7331[/C][C]0.003693[/C][/ROW]
[ROW][C]2[/C][C]-0.181078[/C][C]-1.8377[/C][C]0.034491[/C][/ROW]
[ROW][C]3[/C][C]-0.284281[/C][C]-2.8851[/C][C]0.002383[/C][/ROW]
[ROW][C]4[/C][C]-0.295946[/C][C]-3.0035[/C][C]0.001675[/C][/ROW]
[ROW][C]5[/C][C]0.020508[/C][C]0.2081[/C][C]0.417769[/C][/ROW]
[ROW][C]6[/C][C]0.182228[/C][C]1.8494[/C][C]0.033633[/C][/ROW]
[ROW][C]7[/C][C]0.038336[/C][C]0.3891[/C][C]0.349014[/C][/ROW]
[ROW][C]8[/C][C]-0.262736[/C][C]-2.6665[/C][C]0.004451[/C][/ROW]
[ROW][C]9[/C][C]-0.256026[/C][C]-2.5984[/C][C]0.005369[/C][/ROW]
[ROW][C]10[/C][C]-0.177627[/C][C]-1.8027[/C][C]0.037178[/C][/ROW]
[ROW][C]11[/C][C]0.264885[/C][C]2.6883[/C][C]0.004189[/C][/ROW]
[ROW][C]12[/C][C]0.79869[/C][C]8.1058[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.193794[/C][C]1.9668[/C][C]0.025948[/C][/ROW]
[ROW][C]14[/C][C]-0.123225[/C][C]-1.2506[/C][C]0.106957[/C][/ROW]
[ROW][C]15[/C][C]-0.261859[/C][C]-2.6576[/C][C]0.004562[/C][/ROW]
[ROW][C]16[/C][C]-0.270442[/C][C]-2.7447[/C][C]0.003574[/C][/ROW]
[ROW][C]17[/C][C]0.011671[/C][C]0.1184[/C][C]0.452972[/C][/ROW]
[ROW][C]18[/C][C]0.135361[/C][C]1.3738[/C][C]0.086249[/C][/ROW]
[ROW][C]19[/C][C]0.014718[/C][C]0.1494[/C][C]0.440775[/C][/ROW]
[ROW][C]20[/C][C]-0.257828[/C][C]-2.6167[/C][C]0.005107[/C][/ROW]
[ROW][C]21[/C][C]-0.243241[/C][C]-2.4686[/C][C]0.007604[/C][/ROW]
[ROW][C]22[/C][C]-0.126283[/C][C]-1.2816[/C][C]0.101425[/C][/ROW]
[ROW][C]23[/C][C]0.242617[/C][C]2.4623[/C][C]0.007732[/C][/ROW]
[ROW][C]24[/C][C]0.648856[/C][C]6.5852[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.129982[/C][C]1.3192[/C][C]0.095019[/C][/ROW]
[ROW][C]26[/C][C]-0.141954[/C][C]-1.4407[/C][C]0.076354[/C][/ROW]
[ROW][C]27[/C][C]-0.233595[/C][C]-2.3707[/C][C]0.009807[/C][/ROW]
[ROW][C]28[/C][C]-0.214489[/C][C]-2.1768[/C][C]0.015889[/C][/ROW]
[ROW][C]29[/C][C]0.021968[/C][C]0.2229[/C][C]0.412008[/C][/ROW]
[ROW][C]30[/C][C]0.097526[/C][C]0.9898[/C][C]0.1623[/C][/ROW]
[ROW][C]31[/C][C]-0.00677[/C][C]-0.0687[/C][C]0.472678[/C][/ROW]
[ROW][C]32[/C][C]-0.237344[/C][C]-2.4088[/C][C]0.008891[/C][/ROW]
[ROW][C]33[/C][C]-0.204952[/C][C]-2.08[/C][C]0.020002[/C][/ROW]
[ROW][C]34[/C][C]-0.112077[/C][C]-1.1375[/C][C]0.128994[/C][/ROW]
[ROW][C]35[/C][C]0.204712[/C][C]2.0776[/C][C]0.020117[/C][/ROW]
[ROW][C]36[/C][C]0.5676[/C][C]5.7605[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.121507[/C][C]1.2332[/C][C]0.110162[/C][/ROW]
[ROW][C]38[/C][C]-0.12763[/C][C]-1.2953[/C][C]0.099055[/C][/ROW]
[ROW][C]39[/C][C]-0.237994[/C][C]-2.4154[/C][C]0.00874[/C][/ROW]
[ROW][C]40[/C][C]-0.190891[/C][C]-1.9373[/C][C]0.027722[/C][/ROW]
[ROW][C]41[/C][C]0.006955[/C][C]0.0706[/C][C]0.471932[/C][/ROW]
[ROW][C]42[/C][C]0.087539[/C][C]0.8884[/C][C]0.188192[/C][/ROW]
[ROW][C]43[/C][C]-0.000965[/C][C]-0.0098[/C][C]0.4961[/C][/ROW]
[ROW][C]44[/C][C]-0.209321[/C][C]-2.1244[/C][C]0.018016[/C][/ROW]
[ROW][C]45[/C][C]-0.169099[/C][C]-1.7162[/C][C]0.044569[/C][/ROW]
[ROW][C]46[/C][C]-0.096322[/C][C]-0.9776[/C][C]0.165291[/C][/ROW]
[ROW][C]47[/C][C]0.165976[/C][C]1.6845[/C][C]0.047559[/C][/ROW]
[ROW][C]48[/C][C]0.469298[/C][C]4.7629[/C][C]3e-06[/C][/ROW]
[ROW][C]49[/C][C]0.10473[/C][C]1.0629[/C][C]0.145157[/C][/ROW]
[ROW][C]50[/C][C]-0.110504[/C][C]-1.1215[/C][C]0.132343[/C][/ROW]
[ROW][C]51[/C][C]-0.183714[/C][C]-1.8645[/C][C]0.03255[/C][/ROW]
[ROW][C]52[/C][C]-0.151496[/C][C]-1.5375[/C][C]0.063616[/C][/ROW]
[ROW][C]53[/C][C]-0.018348[/C][C]-0.1862[/C][C]0.426322[/C][/ROW]
[ROW][C]54[/C][C]0.078173[/C][C]0.7934[/C][C]0.214693[/C][/ROW]
[ROW][C]55[/C][C]-0.005757[/C][C]-0.0584[/C][C]0.476763[/C][/ROW]
[ROW][C]56[/C][C]-0.165656[/C][C]-1.6812[/C][C]0.047875[/C][/ROW]
[ROW][C]57[/C][C]-0.118816[/C][C]-1.2058[/C][C]0.115319[/C][/ROW]
[ROW][C]58[/C][C]-0.081561[/C][C]-0.8278[/C][C]0.204863[/C][/ROW]
[ROW][C]59[/C][C]0.151993[/C][C]1.5426[/C][C]0.063002[/C][/ROW]
[ROW][C]60[/C][C]0.390931[/C][C]3.9675[/C][C]6.7e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34832&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34832&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
10.26932.73310.003693
2-0.181078-1.83770.034491
3-0.284281-2.88510.002383
4-0.295946-3.00350.001675
50.0205080.20810.417769
60.1822281.84940.033633
70.0383360.38910.349014
8-0.262736-2.66650.004451
9-0.256026-2.59840.005369
10-0.177627-1.80270.037178
110.2648852.68830.004189
120.798698.10580
130.1937941.96680.025948
14-0.123225-1.25060.106957
15-0.261859-2.65760.004562
16-0.270442-2.74470.003574
170.0116710.11840.452972
180.1353611.37380.086249
190.0147180.14940.440775
20-0.257828-2.61670.005107
21-0.243241-2.46860.007604
22-0.126283-1.28160.101425
230.2426172.46230.007732
240.6488566.58520
250.1299821.31920.095019
26-0.141954-1.44070.076354
27-0.233595-2.37070.009807
28-0.214489-2.17680.015889
290.0219680.22290.412008
300.0975260.98980.1623
31-0.00677-0.06870.472678
32-0.237344-2.40880.008891
33-0.204952-2.080.020002
34-0.112077-1.13750.128994
350.2047122.07760.020117
360.56765.76050
370.1215071.23320.110162
38-0.12763-1.29530.099055
39-0.237994-2.41540.00874
40-0.190891-1.93730.027722
410.0069550.07060.471932
420.0875390.88840.188192
43-0.000965-0.00980.4961
44-0.209321-2.12440.018016
45-0.169099-1.71620.044569
46-0.096322-0.97760.165291
470.1659761.68450.047559
480.4692984.76293e-06
490.104731.06290.145157
50-0.110504-1.12150.132343
51-0.183714-1.86450.03255
52-0.151496-1.53750.063616
53-0.018348-0.18620.426322
540.0781730.79340.214693
55-0.005757-0.05840.476763
56-0.165656-1.68120.047875
57-0.118816-1.20580.115319
58-0.081561-0.82780.204863
590.1519931.54260.063002
600.3909313.96756.7e-05







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.26932.73310.003693
2-0.27343-2.7750.003278
3-0.173106-1.75680.040959
4-0.245137-2.48790.007228
50.0862090.87490.191825
60.0085660.08690.465445
7-0.117764-1.19520.117382
8-0.330292-3.35210.000561
9-0.122177-1.240.108904
10-0.255943-2.59750.005382
110.2196672.22940.01398
120.665726.75630
13-0.188871-1.91680.029016
140.1831351.85860.032968
150.0080940.08210.467346
160.0873780.88680.18863
17-0.036226-0.36770.356941
18-0.088016-0.89330.186899
19-0.043942-0.4460.32828
20-0.108024-1.09630.137747
21-0.061365-0.62280.2674
220.065610.66590.253491
23-0.146454-1.48630.070122
240.0861090.87390.1921
25-0.127985-1.29890.098439
26-0.124922-1.26780.10386
270.0671180.68120.248645
28-0.051528-0.5230.301065
290.0094660.09610.461828
30-0.081824-0.83040.20411
31-0.009192-0.09330.462928
320.0774710.78620.216765
33-0.039219-0.3980.345715
34-0.082023-0.83240.203543
35-0.031309-0.31780.375659
360.0661930.67180.251611
370.0957060.97130.166834
38-0.053652-0.54450.293633
39-0.1016-1.03110.152448
400.038280.38850.349225
41-0.115105-1.16820.122714
420.0610920.620.26831
43-0.09643-0.97870.165021
44-0.033992-0.3450.365406
450.0121770.12360.450941
46-0.050952-0.51710.303097
47-0.055008-0.55830.288934
48-0.058497-0.59370.277013
49-0.063014-0.63950.261951
50-0.018629-0.18910.425207
510.0148440.15070.440272
52-0.012068-0.12250.451379
53-0.010988-0.11150.455712
54-0.007695-0.07810.468951
55-0.026206-0.2660.3954
560.0389820.39560.346601
570.013640.13840.445083
58-0.021846-0.22170.41249
590.0328370.33330.369807
60-0.076193-0.77330.220567

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.2693 & 2.7331 & 0.003693 \tabularnewline
2 & -0.27343 & -2.775 & 0.003278 \tabularnewline
3 & -0.173106 & -1.7568 & 0.040959 \tabularnewline
4 & -0.245137 & -2.4879 & 0.007228 \tabularnewline
5 & 0.086209 & 0.8749 & 0.191825 \tabularnewline
6 & 0.008566 & 0.0869 & 0.465445 \tabularnewline
7 & -0.117764 & -1.1952 & 0.117382 \tabularnewline
8 & -0.330292 & -3.3521 & 0.000561 \tabularnewline
9 & -0.122177 & -1.24 & 0.108904 \tabularnewline
10 & -0.255943 & -2.5975 & 0.005382 \tabularnewline
11 & 0.219667 & 2.2294 & 0.01398 \tabularnewline
12 & 0.66572 & 6.7563 & 0 \tabularnewline
13 & -0.188871 & -1.9168 & 0.029016 \tabularnewline
14 & 0.183135 & 1.8586 & 0.032968 \tabularnewline
15 & 0.008094 & 0.0821 & 0.467346 \tabularnewline
16 & 0.087378 & 0.8868 & 0.18863 \tabularnewline
17 & -0.036226 & -0.3677 & 0.356941 \tabularnewline
18 & -0.088016 & -0.8933 & 0.186899 \tabularnewline
19 & -0.043942 & -0.446 & 0.32828 \tabularnewline
20 & -0.108024 & -1.0963 & 0.137747 \tabularnewline
21 & -0.061365 & -0.6228 & 0.2674 \tabularnewline
22 & 0.06561 & 0.6659 & 0.253491 \tabularnewline
23 & -0.146454 & -1.4863 & 0.070122 \tabularnewline
24 & 0.086109 & 0.8739 & 0.1921 \tabularnewline
25 & -0.127985 & -1.2989 & 0.098439 \tabularnewline
26 & -0.124922 & -1.2678 & 0.10386 \tabularnewline
27 & 0.067118 & 0.6812 & 0.248645 \tabularnewline
28 & -0.051528 & -0.523 & 0.301065 \tabularnewline
29 & 0.009466 & 0.0961 & 0.461828 \tabularnewline
30 & -0.081824 & -0.8304 & 0.20411 \tabularnewline
31 & -0.009192 & -0.0933 & 0.462928 \tabularnewline
32 & 0.077471 & 0.7862 & 0.216765 \tabularnewline
33 & -0.039219 & -0.398 & 0.345715 \tabularnewline
34 & -0.082023 & -0.8324 & 0.203543 \tabularnewline
35 & -0.031309 & -0.3178 & 0.375659 \tabularnewline
36 & 0.066193 & 0.6718 & 0.251611 \tabularnewline
37 & 0.095706 & 0.9713 & 0.166834 \tabularnewline
38 & -0.053652 & -0.5445 & 0.293633 \tabularnewline
39 & -0.1016 & -1.0311 & 0.152448 \tabularnewline
40 & 0.03828 & 0.3885 & 0.349225 \tabularnewline
41 & -0.115105 & -1.1682 & 0.122714 \tabularnewline
42 & 0.061092 & 0.62 & 0.26831 \tabularnewline
43 & -0.09643 & -0.9787 & 0.165021 \tabularnewline
44 & -0.033992 & -0.345 & 0.365406 \tabularnewline
45 & 0.012177 & 0.1236 & 0.450941 \tabularnewline
46 & -0.050952 & -0.5171 & 0.303097 \tabularnewline
47 & -0.055008 & -0.5583 & 0.288934 \tabularnewline
48 & -0.058497 & -0.5937 & 0.277013 \tabularnewline
49 & -0.063014 & -0.6395 & 0.261951 \tabularnewline
50 & -0.018629 & -0.1891 & 0.425207 \tabularnewline
51 & 0.014844 & 0.1507 & 0.440272 \tabularnewline
52 & -0.012068 & -0.1225 & 0.451379 \tabularnewline
53 & -0.010988 & -0.1115 & 0.455712 \tabularnewline
54 & -0.007695 & -0.0781 & 0.468951 \tabularnewline
55 & -0.026206 & -0.266 & 0.3954 \tabularnewline
56 & 0.038982 & 0.3956 & 0.346601 \tabularnewline
57 & 0.01364 & 0.1384 & 0.445083 \tabularnewline
58 & -0.021846 & -0.2217 & 0.41249 \tabularnewline
59 & 0.032837 & 0.3333 & 0.369807 \tabularnewline
60 & -0.076193 & -0.7733 & 0.220567 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34832&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]0.2693[/C][C]2.7331[/C][C]0.003693[/C][/ROW]
[ROW][C]2[/C][C]-0.27343[/C][C]-2.775[/C][C]0.003278[/C][/ROW]
[ROW][C]3[/C][C]-0.173106[/C][C]-1.7568[/C][C]0.040959[/C][/ROW]
[ROW][C]4[/C][C]-0.245137[/C][C]-2.4879[/C][C]0.007228[/C][/ROW]
[ROW][C]5[/C][C]0.086209[/C][C]0.8749[/C][C]0.191825[/C][/ROW]
[ROW][C]6[/C][C]0.008566[/C][C]0.0869[/C][C]0.465445[/C][/ROW]
[ROW][C]7[/C][C]-0.117764[/C][C]-1.1952[/C][C]0.117382[/C][/ROW]
[ROW][C]8[/C][C]-0.330292[/C][C]-3.3521[/C][C]0.000561[/C][/ROW]
[ROW][C]9[/C][C]-0.122177[/C][C]-1.24[/C][C]0.108904[/C][/ROW]
[ROW][C]10[/C][C]-0.255943[/C][C]-2.5975[/C][C]0.005382[/C][/ROW]
[ROW][C]11[/C][C]0.219667[/C][C]2.2294[/C][C]0.01398[/C][/ROW]
[ROW][C]12[/C][C]0.66572[/C][C]6.7563[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.188871[/C][C]-1.9168[/C][C]0.029016[/C][/ROW]
[ROW][C]14[/C][C]0.183135[/C][C]1.8586[/C][C]0.032968[/C][/ROW]
[ROW][C]15[/C][C]0.008094[/C][C]0.0821[/C][C]0.467346[/C][/ROW]
[ROW][C]16[/C][C]0.087378[/C][C]0.8868[/C][C]0.18863[/C][/ROW]
[ROW][C]17[/C][C]-0.036226[/C][C]-0.3677[/C][C]0.356941[/C][/ROW]
[ROW][C]18[/C][C]-0.088016[/C][C]-0.8933[/C][C]0.186899[/C][/ROW]
[ROW][C]19[/C][C]-0.043942[/C][C]-0.446[/C][C]0.32828[/C][/ROW]
[ROW][C]20[/C][C]-0.108024[/C][C]-1.0963[/C][C]0.137747[/C][/ROW]
[ROW][C]21[/C][C]-0.061365[/C][C]-0.6228[/C][C]0.2674[/C][/ROW]
[ROW][C]22[/C][C]0.06561[/C][C]0.6659[/C][C]0.253491[/C][/ROW]
[ROW][C]23[/C][C]-0.146454[/C][C]-1.4863[/C][C]0.070122[/C][/ROW]
[ROW][C]24[/C][C]0.086109[/C][C]0.8739[/C][C]0.1921[/C][/ROW]
[ROW][C]25[/C][C]-0.127985[/C][C]-1.2989[/C][C]0.098439[/C][/ROW]
[ROW][C]26[/C][C]-0.124922[/C][C]-1.2678[/C][C]0.10386[/C][/ROW]
[ROW][C]27[/C][C]0.067118[/C][C]0.6812[/C][C]0.248645[/C][/ROW]
[ROW][C]28[/C][C]-0.051528[/C][C]-0.523[/C][C]0.301065[/C][/ROW]
[ROW][C]29[/C][C]0.009466[/C][C]0.0961[/C][C]0.461828[/C][/ROW]
[ROW][C]30[/C][C]-0.081824[/C][C]-0.8304[/C][C]0.20411[/C][/ROW]
[ROW][C]31[/C][C]-0.009192[/C][C]-0.0933[/C][C]0.462928[/C][/ROW]
[ROW][C]32[/C][C]0.077471[/C][C]0.7862[/C][C]0.216765[/C][/ROW]
[ROW][C]33[/C][C]-0.039219[/C][C]-0.398[/C][C]0.345715[/C][/ROW]
[ROW][C]34[/C][C]-0.082023[/C][C]-0.8324[/C][C]0.203543[/C][/ROW]
[ROW][C]35[/C][C]-0.031309[/C][C]-0.3178[/C][C]0.375659[/C][/ROW]
[ROW][C]36[/C][C]0.066193[/C][C]0.6718[/C][C]0.251611[/C][/ROW]
[ROW][C]37[/C][C]0.095706[/C][C]0.9713[/C][C]0.166834[/C][/ROW]
[ROW][C]38[/C][C]-0.053652[/C][C]-0.5445[/C][C]0.293633[/C][/ROW]
[ROW][C]39[/C][C]-0.1016[/C][C]-1.0311[/C][C]0.152448[/C][/ROW]
[ROW][C]40[/C][C]0.03828[/C][C]0.3885[/C][C]0.349225[/C][/ROW]
[ROW][C]41[/C][C]-0.115105[/C][C]-1.1682[/C][C]0.122714[/C][/ROW]
[ROW][C]42[/C][C]0.061092[/C][C]0.62[/C][C]0.26831[/C][/ROW]
[ROW][C]43[/C][C]-0.09643[/C][C]-0.9787[/C][C]0.165021[/C][/ROW]
[ROW][C]44[/C][C]-0.033992[/C][C]-0.345[/C][C]0.365406[/C][/ROW]
[ROW][C]45[/C][C]0.012177[/C][C]0.1236[/C][C]0.450941[/C][/ROW]
[ROW][C]46[/C][C]-0.050952[/C][C]-0.5171[/C][C]0.303097[/C][/ROW]
[ROW][C]47[/C][C]-0.055008[/C][C]-0.5583[/C][C]0.288934[/C][/ROW]
[ROW][C]48[/C][C]-0.058497[/C][C]-0.5937[/C][C]0.277013[/C][/ROW]
[ROW][C]49[/C][C]-0.063014[/C][C]-0.6395[/C][C]0.261951[/C][/ROW]
[ROW][C]50[/C][C]-0.018629[/C][C]-0.1891[/C][C]0.425207[/C][/ROW]
[ROW][C]51[/C][C]0.014844[/C][C]0.1507[/C][C]0.440272[/C][/ROW]
[ROW][C]52[/C][C]-0.012068[/C][C]-0.1225[/C][C]0.451379[/C][/ROW]
[ROW][C]53[/C][C]-0.010988[/C][C]-0.1115[/C][C]0.455712[/C][/ROW]
[ROW][C]54[/C][C]-0.007695[/C][C]-0.0781[/C][C]0.468951[/C][/ROW]
[ROW][C]55[/C][C]-0.026206[/C][C]-0.266[/C][C]0.3954[/C][/ROW]
[ROW][C]56[/C][C]0.038982[/C][C]0.3956[/C][C]0.346601[/C][/ROW]
[ROW][C]57[/C][C]0.01364[/C][C]0.1384[/C][C]0.445083[/C][/ROW]
[ROW][C]58[/C][C]-0.021846[/C][C]-0.2217[/C][C]0.41249[/C][/ROW]
[ROW][C]59[/C][C]0.032837[/C][C]0.3333[/C][C]0.369807[/C][/ROW]
[ROW][C]60[/C][C]-0.076193[/C][C]-0.7733[/C][C]0.220567[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34832&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34832&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
10.26932.73310.003693
2-0.27343-2.7750.003278
3-0.173106-1.75680.040959
4-0.245137-2.48790.007228
50.0862090.87490.191825
60.0085660.08690.465445
7-0.117764-1.19520.117382
8-0.330292-3.35210.000561
9-0.122177-1.240.108904
10-0.255943-2.59750.005382
110.2196672.22940.01398
120.665726.75630
13-0.188871-1.91680.029016
140.1831351.85860.032968
150.0080940.08210.467346
160.0873780.88680.18863
17-0.036226-0.36770.356941
18-0.088016-0.89330.186899
19-0.043942-0.4460.32828
20-0.108024-1.09630.137747
21-0.061365-0.62280.2674
220.065610.66590.253491
23-0.146454-1.48630.070122
240.0861090.87390.1921
25-0.127985-1.29890.098439
26-0.124922-1.26780.10386
270.0671180.68120.248645
28-0.051528-0.5230.301065
290.0094660.09610.461828
30-0.081824-0.83040.20411
31-0.009192-0.09330.462928
320.0774710.78620.216765
33-0.039219-0.3980.345715
34-0.082023-0.83240.203543
35-0.031309-0.31780.375659
360.0661930.67180.251611
370.0957060.97130.166834
38-0.053652-0.54450.293633
39-0.1016-1.03110.152448
400.038280.38850.349225
41-0.115105-1.16820.122714
420.0610920.620.26831
43-0.09643-0.97870.165021
44-0.033992-0.3450.365406
450.0121770.12360.450941
46-0.050952-0.51710.303097
47-0.055008-0.55830.288934
48-0.058497-0.59370.277013
49-0.063014-0.63950.261951
50-0.018629-0.18910.425207
510.0148440.15070.440272
52-0.012068-0.12250.451379
53-0.010988-0.11150.455712
54-0.007695-0.07810.468951
55-0.026206-0.2660.3954
560.0389820.39560.346601
570.013640.13840.445083
58-0.021846-0.22170.41249
590.0328370.33330.369807
60-0.076193-0.77330.220567



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')