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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 02:52:36 -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/t1229680477i0kbpny81wgk1yt.htm/, Retrieved Wed, 15 May 2024 05:34:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35013, Retrieved Wed, 15 May 2024 05:34:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [spectrum] [2007-12-20 15:13:34] [74be16979710d4c4e7c6647856088456]
-    D  [Spectral Analysis] [werkloosheid/invoer] [2008-12-17 22:40:57] [5e74953d94072114d25d7276793b561e]
- RMP       [(Partial) Autocorrelation Function] [aangespast werklo...] [2008-12-19 09:52:36] [5925747fb2a6bb4cfcd8015825ee5e92] [Current]
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Dataseries X:
15.59
13.17
11.20
13.30
10.78
11.60
15.18
15.87
12.58
11.43
10.30
11.17
11.26
11.20
9.99
11.17
10.29
10.47
14.36
16.06
14.47
13.24
13.03
14.43
13.98
13.62
12.20
12.24
12.07
12.30
16.12
18.38
14.59
12.96
14.14
13.92
14.24
14.10
12.91
13.69
14.11
13.99
17.93
21.37
16.25
14.53
15.36
14.95
15.95
15.25
12.67
13.86
14.65
12.41
17.46
18.95
15.33
15.31
14.84
14.75
15.83
14.83
13.00
13.92
13.94
12.54
18.12
17.83
14.41
15.18
12.99
13.06
12.81
12.95
10.48
13.23
11.80
11.69
15.33
14.89
12.92
11.27
10.68
11.55




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35013&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]1 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=35013&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35013&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7477916.34520
20.6948015.89560
30.631225.35610
40.4759464.03856.6e-05
50.4206823.56960.000321
60.3332352.82760.003034
70.2208661.87410.032486
80.1705841.44750.076055
90.1672521.41920.080081
100.0400790.34010.367393
110.0405830.34440.36579
120.0197250.16740.433772
130.0008560.00730.497111
140.0765660.64970.258982
150.0891780.75670.225849
160.0738140.62630.266539
170.1717261.45710.074712
180.1962681.66540.05009
190.1551761.31670.096056
200.2084881.76910.040558
210.1584811.34480.091463
220.0732960.62190.267973
230.1156190.98110.164924
24-0.029139-0.24730.402708
25-0.067953-0.57660.283004
26-0.068787-0.58370.280631
27-0.174521-1.48090.071504
28-0.204735-1.73720.043311
29-0.269859-2.28980.012482
30-0.339407-2.880.002618
31-0.352627-2.99210.001896
32-0.309607-2.62710.005258
33-0.339629-2.88180.002604
34-0.286386-2.43010.008795
35-0.247625-2.10120.019564
36-0.245372-2.08210.020446
37-0.189451-1.60750.056155
38-0.17091-1.45020.07567
39-0.17948-1.52290.066077
40-0.150751-1.27920.102473
41-0.115531-0.98030.165106
42-0.149893-1.27190.103753
43-0.098939-0.83950.201978
44-0.145798-1.23710.110027
45-0.18037-1.53050.065139
46-0.141386-1.19970.117095
47-0.209103-1.77430.040121
48-0.234936-1.99350.024998
49-0.225296-1.91170.029947
50-0.267755-2.2720.013038
51-0.254167-2.15670.017185
52-0.222271-1.8860.031662
53-0.20819-1.76660.040771
54-0.182383-1.54760.063055
55-0.125974-1.06890.144337
56-0.133008-1.12860.131405
57-0.10991-0.93260.177066
58-0.073784-0.62610.266622
59-0.036192-0.30710.379828
600.0137570.11670.4537

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.747791 & 6.3452 & 0 \tabularnewline
2 & 0.694801 & 5.8956 & 0 \tabularnewline
3 & 0.63122 & 5.3561 & 0 \tabularnewline
4 & 0.475946 & 4.0385 & 6.6e-05 \tabularnewline
5 & 0.420682 & 3.5696 & 0.000321 \tabularnewline
6 & 0.333235 & 2.8276 & 0.003034 \tabularnewline
7 & 0.220866 & 1.8741 & 0.032486 \tabularnewline
8 & 0.170584 & 1.4475 & 0.076055 \tabularnewline
9 & 0.167252 & 1.4192 & 0.080081 \tabularnewline
10 & 0.040079 & 0.3401 & 0.367393 \tabularnewline
11 & 0.040583 & 0.3444 & 0.36579 \tabularnewline
12 & 0.019725 & 0.1674 & 0.433772 \tabularnewline
13 & 0.000856 & 0.0073 & 0.497111 \tabularnewline
14 & 0.076566 & 0.6497 & 0.258982 \tabularnewline
15 & 0.089178 & 0.7567 & 0.225849 \tabularnewline
16 & 0.073814 & 0.6263 & 0.266539 \tabularnewline
17 & 0.171726 & 1.4571 & 0.074712 \tabularnewline
18 & 0.196268 & 1.6654 & 0.05009 \tabularnewline
19 & 0.155176 & 1.3167 & 0.096056 \tabularnewline
20 & 0.208488 & 1.7691 & 0.040558 \tabularnewline
21 & 0.158481 & 1.3448 & 0.091463 \tabularnewline
22 & 0.073296 & 0.6219 & 0.267973 \tabularnewline
23 & 0.115619 & 0.9811 & 0.164924 \tabularnewline
24 & -0.029139 & -0.2473 & 0.402708 \tabularnewline
25 & -0.067953 & -0.5766 & 0.283004 \tabularnewline
26 & -0.068787 & -0.5837 & 0.280631 \tabularnewline
27 & -0.174521 & -1.4809 & 0.071504 \tabularnewline
28 & -0.204735 & -1.7372 & 0.043311 \tabularnewline
29 & -0.269859 & -2.2898 & 0.012482 \tabularnewline
30 & -0.339407 & -2.88 & 0.002618 \tabularnewline
31 & -0.352627 & -2.9921 & 0.001896 \tabularnewline
32 & -0.309607 & -2.6271 & 0.005258 \tabularnewline
33 & -0.339629 & -2.8818 & 0.002604 \tabularnewline
34 & -0.286386 & -2.4301 & 0.008795 \tabularnewline
35 & -0.247625 & -2.1012 & 0.019564 \tabularnewline
36 & -0.245372 & -2.0821 & 0.020446 \tabularnewline
37 & -0.189451 & -1.6075 & 0.056155 \tabularnewline
38 & -0.17091 & -1.4502 & 0.07567 \tabularnewline
39 & -0.17948 & -1.5229 & 0.066077 \tabularnewline
40 & -0.150751 & -1.2792 & 0.102473 \tabularnewline
41 & -0.115531 & -0.9803 & 0.165106 \tabularnewline
42 & -0.149893 & -1.2719 & 0.103753 \tabularnewline
43 & -0.098939 & -0.8395 & 0.201978 \tabularnewline
44 & -0.145798 & -1.2371 & 0.110027 \tabularnewline
45 & -0.18037 & -1.5305 & 0.065139 \tabularnewline
46 & -0.141386 & -1.1997 & 0.117095 \tabularnewline
47 & -0.209103 & -1.7743 & 0.040121 \tabularnewline
48 & -0.234936 & -1.9935 & 0.024998 \tabularnewline
49 & -0.225296 & -1.9117 & 0.029947 \tabularnewline
50 & -0.267755 & -2.272 & 0.013038 \tabularnewline
51 & -0.254167 & -2.1567 & 0.017185 \tabularnewline
52 & -0.222271 & -1.886 & 0.031662 \tabularnewline
53 & -0.20819 & -1.7666 & 0.040771 \tabularnewline
54 & -0.182383 & -1.5476 & 0.063055 \tabularnewline
55 & -0.125974 & -1.0689 & 0.144337 \tabularnewline
56 & -0.133008 & -1.1286 & 0.131405 \tabularnewline
57 & -0.10991 & -0.9326 & 0.177066 \tabularnewline
58 & -0.073784 & -0.6261 & 0.266622 \tabularnewline
59 & -0.036192 & -0.3071 & 0.379828 \tabularnewline
60 & 0.013757 & 0.1167 & 0.4537 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35013&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]0.747791[/C][C]6.3452[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.694801[/C][C]5.8956[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.63122[/C][C]5.3561[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.475946[/C][C]4.0385[/C][C]6.6e-05[/C][/ROW]
[ROW][C]5[/C][C]0.420682[/C][C]3.5696[/C][C]0.000321[/C][/ROW]
[ROW][C]6[/C][C]0.333235[/C][C]2.8276[/C][C]0.003034[/C][/ROW]
[ROW][C]7[/C][C]0.220866[/C][C]1.8741[/C][C]0.032486[/C][/ROW]
[ROW][C]8[/C][C]0.170584[/C][C]1.4475[/C][C]0.076055[/C][/ROW]
[ROW][C]9[/C][C]0.167252[/C][C]1.4192[/C][C]0.080081[/C][/ROW]
[ROW][C]10[/C][C]0.040079[/C][C]0.3401[/C][C]0.367393[/C][/ROW]
[ROW][C]11[/C][C]0.040583[/C][C]0.3444[/C][C]0.36579[/C][/ROW]
[ROW][C]12[/C][C]0.019725[/C][C]0.1674[/C][C]0.433772[/C][/ROW]
[ROW][C]13[/C][C]0.000856[/C][C]0.0073[/C][C]0.497111[/C][/ROW]
[ROW][C]14[/C][C]0.076566[/C][C]0.6497[/C][C]0.258982[/C][/ROW]
[ROW][C]15[/C][C]0.089178[/C][C]0.7567[/C][C]0.225849[/C][/ROW]
[ROW][C]16[/C][C]0.073814[/C][C]0.6263[/C][C]0.266539[/C][/ROW]
[ROW][C]17[/C][C]0.171726[/C][C]1.4571[/C][C]0.074712[/C][/ROW]
[ROW][C]18[/C][C]0.196268[/C][C]1.6654[/C][C]0.05009[/C][/ROW]
[ROW][C]19[/C][C]0.155176[/C][C]1.3167[/C][C]0.096056[/C][/ROW]
[ROW][C]20[/C][C]0.208488[/C][C]1.7691[/C][C]0.040558[/C][/ROW]
[ROW][C]21[/C][C]0.158481[/C][C]1.3448[/C][C]0.091463[/C][/ROW]
[ROW][C]22[/C][C]0.073296[/C][C]0.6219[/C][C]0.267973[/C][/ROW]
[ROW][C]23[/C][C]0.115619[/C][C]0.9811[/C][C]0.164924[/C][/ROW]
[ROW][C]24[/C][C]-0.029139[/C][C]-0.2473[/C][C]0.402708[/C][/ROW]
[ROW][C]25[/C][C]-0.067953[/C][C]-0.5766[/C][C]0.283004[/C][/ROW]
[ROW][C]26[/C][C]-0.068787[/C][C]-0.5837[/C][C]0.280631[/C][/ROW]
[ROW][C]27[/C][C]-0.174521[/C][C]-1.4809[/C][C]0.071504[/C][/ROW]
[ROW][C]28[/C][C]-0.204735[/C][C]-1.7372[/C][C]0.043311[/C][/ROW]
[ROW][C]29[/C][C]-0.269859[/C][C]-2.2898[/C][C]0.012482[/C][/ROW]
[ROW][C]30[/C][C]-0.339407[/C][C]-2.88[/C][C]0.002618[/C][/ROW]
[ROW][C]31[/C][C]-0.352627[/C][C]-2.9921[/C][C]0.001896[/C][/ROW]
[ROW][C]32[/C][C]-0.309607[/C][C]-2.6271[/C][C]0.005258[/C][/ROW]
[ROW][C]33[/C][C]-0.339629[/C][C]-2.8818[/C][C]0.002604[/C][/ROW]
[ROW][C]34[/C][C]-0.286386[/C][C]-2.4301[/C][C]0.008795[/C][/ROW]
[ROW][C]35[/C][C]-0.247625[/C][C]-2.1012[/C][C]0.019564[/C][/ROW]
[ROW][C]36[/C][C]-0.245372[/C][C]-2.0821[/C][C]0.020446[/C][/ROW]
[ROW][C]37[/C][C]-0.189451[/C][C]-1.6075[/C][C]0.056155[/C][/ROW]
[ROW][C]38[/C][C]-0.17091[/C][C]-1.4502[/C][C]0.07567[/C][/ROW]
[ROW][C]39[/C][C]-0.17948[/C][C]-1.5229[/C][C]0.066077[/C][/ROW]
[ROW][C]40[/C][C]-0.150751[/C][C]-1.2792[/C][C]0.102473[/C][/ROW]
[ROW][C]41[/C][C]-0.115531[/C][C]-0.9803[/C][C]0.165106[/C][/ROW]
[ROW][C]42[/C][C]-0.149893[/C][C]-1.2719[/C][C]0.103753[/C][/ROW]
[ROW][C]43[/C][C]-0.098939[/C][C]-0.8395[/C][C]0.201978[/C][/ROW]
[ROW][C]44[/C][C]-0.145798[/C][C]-1.2371[/C][C]0.110027[/C][/ROW]
[ROW][C]45[/C][C]-0.18037[/C][C]-1.5305[/C][C]0.065139[/C][/ROW]
[ROW][C]46[/C][C]-0.141386[/C][C]-1.1997[/C][C]0.117095[/C][/ROW]
[ROW][C]47[/C][C]-0.209103[/C][C]-1.7743[/C][C]0.040121[/C][/ROW]
[ROW][C]48[/C][C]-0.234936[/C][C]-1.9935[/C][C]0.024998[/C][/ROW]
[ROW][C]49[/C][C]-0.225296[/C][C]-1.9117[/C][C]0.029947[/C][/ROW]
[ROW][C]50[/C][C]-0.267755[/C][C]-2.272[/C][C]0.013038[/C][/ROW]
[ROW][C]51[/C][C]-0.254167[/C][C]-2.1567[/C][C]0.017185[/C][/ROW]
[ROW][C]52[/C][C]-0.222271[/C][C]-1.886[/C][C]0.031662[/C][/ROW]
[ROW][C]53[/C][C]-0.20819[/C][C]-1.7666[/C][C]0.040771[/C][/ROW]
[ROW][C]54[/C][C]-0.182383[/C][C]-1.5476[/C][C]0.063055[/C][/ROW]
[ROW][C]55[/C][C]-0.125974[/C][C]-1.0689[/C][C]0.144337[/C][/ROW]
[ROW][C]56[/C][C]-0.133008[/C][C]-1.1286[/C][C]0.131405[/C][/ROW]
[ROW][C]57[/C][C]-0.10991[/C][C]-0.9326[/C][C]0.177066[/C][/ROW]
[ROW][C]58[/C][C]-0.073784[/C][C]-0.6261[/C][C]0.266622[/C][/ROW]
[ROW][C]59[/C][C]-0.036192[/C][C]-0.3071[/C][C]0.379828[/C][/ROW]
[ROW][C]60[/C][C]0.013757[/C][C]0.1167[/C][C]0.4537[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35013&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35013&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
10.7477916.34520
20.6948015.89560
30.631225.35610
40.4759464.03856.6e-05
50.4206823.56960.000321
60.3332352.82760.003034
70.2208661.87410.032486
80.1705841.44750.076055
90.1672521.41920.080081
100.0400790.34010.367393
110.0405830.34440.36579
120.0197250.16740.433772
130.0008560.00730.497111
140.0765660.64970.258982
150.0891780.75670.225849
160.0738140.62630.266539
170.1717261.45710.074712
180.1962681.66540.05009
190.1551761.31670.096056
200.2084881.76910.040558
210.1584811.34480.091463
220.0732960.62190.267973
230.1156190.98110.164924
24-0.029139-0.24730.402708
25-0.067953-0.57660.283004
26-0.068787-0.58370.280631
27-0.174521-1.48090.071504
28-0.204735-1.73720.043311
29-0.269859-2.28980.012482
30-0.339407-2.880.002618
31-0.352627-2.99210.001896
32-0.309607-2.62710.005258
33-0.339629-2.88180.002604
34-0.286386-2.43010.008795
35-0.247625-2.10120.019564
36-0.245372-2.08210.020446
37-0.189451-1.60750.056155
38-0.17091-1.45020.07567
39-0.17948-1.52290.066077
40-0.150751-1.27920.102473
41-0.115531-0.98030.165106
42-0.149893-1.27190.103753
43-0.098939-0.83950.201978
44-0.145798-1.23710.110027
45-0.18037-1.53050.065139
46-0.141386-1.19970.117095
47-0.209103-1.77430.040121
48-0.234936-1.99350.024998
49-0.225296-1.91170.029947
50-0.267755-2.2720.013038
51-0.254167-2.15670.017185
52-0.222271-1.8860.031662
53-0.20819-1.76660.040771
54-0.182383-1.54760.063055
55-0.125974-1.06890.144337
56-0.133008-1.12860.131405
57-0.10991-0.93260.177066
58-0.073784-0.62610.266622
59-0.036192-0.30710.379828
600.0137570.11670.4537







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7477916.34520
20.3076382.61040.005498
30.1038430.88110.190589
4-0.214654-1.82140.03635
50.0003330.00280.498876
6-0.025404-0.21560.414969
7-0.098155-0.83290.203834
8-0.0156-0.13240.447531
90.1690871.43480.077844
10-0.202648-1.71950.044908
110.0198520.16840.433352
120.0364330.30910.379053
130.1023150.86820.194091
140.1431051.21430.114303
150.0539320.45760.324298
16-0.102895-0.87310.192759
170.1585431.34530.091378
180.0404850.34350.366102
19-0.133992-1.1370.129662
20-0.002068-0.01750.493024
21-0.030109-0.25550.399541
22-0.231799-1.96690.026526
230.0869450.73770.231532
24-0.204951-1.73910.043148
250.0639140.54230.294633
260.0134280.11390.454802
27-0.075647-0.64190.261494
28-0.065354-0.55450.290461
29-0.138808-1.17780.121373
30-0.046885-0.39780.345966
310.0444280.3770.353648
320.0413870.35120.363241
330.0601950.51080.305536
34-0.044408-0.37680.353709
35-0.089097-0.7560.226054
360.0099220.08420.46657
37-0.030482-0.25860.398323
38-0.010855-0.09210.463435
390.0202610.17190.431991
40-0.117052-0.99320.161964
410.0431830.36640.357563
420.0175870.14920.440895
430.0401150.34040.367279
44-0.08432-0.71550.238314
450.0042580.03610.485639
46-0.001255-0.01070.495766
47-0.008138-0.06910.472569
48-0.075445-0.64020.262045
490.0358670.30430.380874
50-0.034068-0.28910.386678
51-0.00458-0.03890.484554
52-0.005016-0.04260.483085
530.0703210.59670.276292
54-0.058105-0.4930.311745
550.0307720.26110.397378
56-0.092429-0.78430.217723
57-0.004979-0.04220.48321
58-0.030113-0.25550.399528
590.1531071.29920.099017
60-0.050209-0.4260.335677

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.747791 & 6.3452 & 0 \tabularnewline
2 & 0.307638 & 2.6104 & 0.005498 \tabularnewline
3 & 0.103843 & 0.8811 & 0.190589 \tabularnewline
4 & -0.214654 & -1.8214 & 0.03635 \tabularnewline
5 & 0.000333 & 0.0028 & 0.498876 \tabularnewline
6 & -0.025404 & -0.2156 & 0.414969 \tabularnewline
7 & -0.098155 & -0.8329 & 0.203834 \tabularnewline
8 & -0.0156 & -0.1324 & 0.447531 \tabularnewline
9 & 0.169087 & 1.4348 & 0.077844 \tabularnewline
10 & -0.202648 & -1.7195 & 0.044908 \tabularnewline
11 & 0.019852 & 0.1684 & 0.433352 \tabularnewline
12 & 0.036433 & 0.3091 & 0.379053 \tabularnewline
13 & 0.102315 & 0.8682 & 0.194091 \tabularnewline
14 & 0.143105 & 1.2143 & 0.114303 \tabularnewline
15 & 0.053932 & 0.4576 & 0.324298 \tabularnewline
16 & -0.102895 & -0.8731 & 0.192759 \tabularnewline
17 & 0.158543 & 1.3453 & 0.091378 \tabularnewline
18 & 0.040485 & 0.3435 & 0.366102 \tabularnewline
19 & -0.133992 & -1.137 & 0.129662 \tabularnewline
20 & -0.002068 & -0.0175 & 0.493024 \tabularnewline
21 & -0.030109 & -0.2555 & 0.399541 \tabularnewline
22 & -0.231799 & -1.9669 & 0.026526 \tabularnewline
23 & 0.086945 & 0.7377 & 0.231532 \tabularnewline
24 & -0.204951 & -1.7391 & 0.043148 \tabularnewline
25 & 0.063914 & 0.5423 & 0.294633 \tabularnewline
26 & 0.013428 & 0.1139 & 0.454802 \tabularnewline
27 & -0.075647 & -0.6419 & 0.261494 \tabularnewline
28 & -0.065354 & -0.5545 & 0.290461 \tabularnewline
29 & -0.138808 & -1.1778 & 0.121373 \tabularnewline
30 & -0.046885 & -0.3978 & 0.345966 \tabularnewline
31 & 0.044428 & 0.377 & 0.353648 \tabularnewline
32 & 0.041387 & 0.3512 & 0.363241 \tabularnewline
33 & 0.060195 & 0.5108 & 0.305536 \tabularnewline
34 & -0.044408 & -0.3768 & 0.353709 \tabularnewline
35 & -0.089097 & -0.756 & 0.226054 \tabularnewline
36 & 0.009922 & 0.0842 & 0.46657 \tabularnewline
37 & -0.030482 & -0.2586 & 0.398323 \tabularnewline
38 & -0.010855 & -0.0921 & 0.463435 \tabularnewline
39 & 0.020261 & 0.1719 & 0.431991 \tabularnewline
40 & -0.117052 & -0.9932 & 0.161964 \tabularnewline
41 & 0.043183 & 0.3664 & 0.357563 \tabularnewline
42 & 0.017587 & 0.1492 & 0.440895 \tabularnewline
43 & 0.040115 & 0.3404 & 0.367279 \tabularnewline
44 & -0.08432 & -0.7155 & 0.238314 \tabularnewline
45 & 0.004258 & 0.0361 & 0.485639 \tabularnewline
46 & -0.001255 & -0.0107 & 0.495766 \tabularnewline
47 & -0.008138 & -0.0691 & 0.472569 \tabularnewline
48 & -0.075445 & -0.6402 & 0.262045 \tabularnewline
49 & 0.035867 & 0.3043 & 0.380874 \tabularnewline
50 & -0.034068 & -0.2891 & 0.386678 \tabularnewline
51 & -0.00458 & -0.0389 & 0.484554 \tabularnewline
52 & -0.005016 & -0.0426 & 0.483085 \tabularnewline
53 & 0.070321 & 0.5967 & 0.276292 \tabularnewline
54 & -0.058105 & -0.493 & 0.311745 \tabularnewline
55 & 0.030772 & 0.2611 & 0.397378 \tabularnewline
56 & -0.092429 & -0.7843 & 0.217723 \tabularnewline
57 & -0.004979 & -0.0422 & 0.48321 \tabularnewline
58 & -0.030113 & -0.2555 & 0.399528 \tabularnewline
59 & 0.153107 & 1.2992 & 0.099017 \tabularnewline
60 & -0.050209 & -0.426 & 0.335677 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35013&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]0.747791[/C][C]6.3452[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.307638[/C][C]2.6104[/C][C]0.005498[/C][/ROW]
[ROW][C]3[/C][C]0.103843[/C][C]0.8811[/C][C]0.190589[/C][/ROW]
[ROW][C]4[/C][C]-0.214654[/C][C]-1.8214[/C][C]0.03635[/C][/ROW]
[ROW][C]5[/C][C]0.000333[/C][C]0.0028[/C][C]0.498876[/C][/ROW]
[ROW][C]6[/C][C]-0.025404[/C][C]-0.2156[/C][C]0.414969[/C][/ROW]
[ROW][C]7[/C][C]-0.098155[/C][C]-0.8329[/C][C]0.203834[/C][/ROW]
[ROW][C]8[/C][C]-0.0156[/C][C]-0.1324[/C][C]0.447531[/C][/ROW]
[ROW][C]9[/C][C]0.169087[/C][C]1.4348[/C][C]0.077844[/C][/ROW]
[ROW][C]10[/C][C]-0.202648[/C][C]-1.7195[/C][C]0.044908[/C][/ROW]
[ROW][C]11[/C][C]0.019852[/C][C]0.1684[/C][C]0.433352[/C][/ROW]
[ROW][C]12[/C][C]0.036433[/C][C]0.3091[/C][C]0.379053[/C][/ROW]
[ROW][C]13[/C][C]0.102315[/C][C]0.8682[/C][C]0.194091[/C][/ROW]
[ROW][C]14[/C][C]0.143105[/C][C]1.2143[/C][C]0.114303[/C][/ROW]
[ROW][C]15[/C][C]0.053932[/C][C]0.4576[/C][C]0.324298[/C][/ROW]
[ROW][C]16[/C][C]-0.102895[/C][C]-0.8731[/C][C]0.192759[/C][/ROW]
[ROW][C]17[/C][C]0.158543[/C][C]1.3453[/C][C]0.091378[/C][/ROW]
[ROW][C]18[/C][C]0.040485[/C][C]0.3435[/C][C]0.366102[/C][/ROW]
[ROW][C]19[/C][C]-0.133992[/C][C]-1.137[/C][C]0.129662[/C][/ROW]
[ROW][C]20[/C][C]-0.002068[/C][C]-0.0175[/C][C]0.493024[/C][/ROW]
[ROW][C]21[/C][C]-0.030109[/C][C]-0.2555[/C][C]0.399541[/C][/ROW]
[ROW][C]22[/C][C]-0.231799[/C][C]-1.9669[/C][C]0.026526[/C][/ROW]
[ROW][C]23[/C][C]0.086945[/C][C]0.7377[/C][C]0.231532[/C][/ROW]
[ROW][C]24[/C][C]-0.204951[/C][C]-1.7391[/C][C]0.043148[/C][/ROW]
[ROW][C]25[/C][C]0.063914[/C][C]0.5423[/C][C]0.294633[/C][/ROW]
[ROW][C]26[/C][C]0.013428[/C][C]0.1139[/C][C]0.454802[/C][/ROW]
[ROW][C]27[/C][C]-0.075647[/C][C]-0.6419[/C][C]0.261494[/C][/ROW]
[ROW][C]28[/C][C]-0.065354[/C][C]-0.5545[/C][C]0.290461[/C][/ROW]
[ROW][C]29[/C][C]-0.138808[/C][C]-1.1778[/C][C]0.121373[/C][/ROW]
[ROW][C]30[/C][C]-0.046885[/C][C]-0.3978[/C][C]0.345966[/C][/ROW]
[ROW][C]31[/C][C]0.044428[/C][C]0.377[/C][C]0.353648[/C][/ROW]
[ROW][C]32[/C][C]0.041387[/C][C]0.3512[/C][C]0.363241[/C][/ROW]
[ROW][C]33[/C][C]0.060195[/C][C]0.5108[/C][C]0.305536[/C][/ROW]
[ROW][C]34[/C][C]-0.044408[/C][C]-0.3768[/C][C]0.353709[/C][/ROW]
[ROW][C]35[/C][C]-0.089097[/C][C]-0.756[/C][C]0.226054[/C][/ROW]
[ROW][C]36[/C][C]0.009922[/C][C]0.0842[/C][C]0.46657[/C][/ROW]
[ROW][C]37[/C][C]-0.030482[/C][C]-0.2586[/C][C]0.398323[/C][/ROW]
[ROW][C]38[/C][C]-0.010855[/C][C]-0.0921[/C][C]0.463435[/C][/ROW]
[ROW][C]39[/C][C]0.020261[/C][C]0.1719[/C][C]0.431991[/C][/ROW]
[ROW][C]40[/C][C]-0.117052[/C][C]-0.9932[/C][C]0.161964[/C][/ROW]
[ROW][C]41[/C][C]0.043183[/C][C]0.3664[/C][C]0.357563[/C][/ROW]
[ROW][C]42[/C][C]0.017587[/C][C]0.1492[/C][C]0.440895[/C][/ROW]
[ROW][C]43[/C][C]0.040115[/C][C]0.3404[/C][C]0.367279[/C][/ROW]
[ROW][C]44[/C][C]-0.08432[/C][C]-0.7155[/C][C]0.238314[/C][/ROW]
[ROW][C]45[/C][C]0.004258[/C][C]0.0361[/C][C]0.485639[/C][/ROW]
[ROW][C]46[/C][C]-0.001255[/C][C]-0.0107[/C][C]0.495766[/C][/ROW]
[ROW][C]47[/C][C]-0.008138[/C][C]-0.0691[/C][C]0.472569[/C][/ROW]
[ROW][C]48[/C][C]-0.075445[/C][C]-0.6402[/C][C]0.262045[/C][/ROW]
[ROW][C]49[/C][C]0.035867[/C][C]0.3043[/C][C]0.380874[/C][/ROW]
[ROW][C]50[/C][C]-0.034068[/C][C]-0.2891[/C][C]0.386678[/C][/ROW]
[ROW][C]51[/C][C]-0.00458[/C][C]-0.0389[/C][C]0.484554[/C][/ROW]
[ROW][C]52[/C][C]-0.005016[/C][C]-0.0426[/C][C]0.483085[/C][/ROW]
[ROW][C]53[/C][C]0.070321[/C][C]0.5967[/C][C]0.276292[/C][/ROW]
[ROW][C]54[/C][C]-0.058105[/C][C]-0.493[/C][C]0.311745[/C][/ROW]
[ROW][C]55[/C][C]0.030772[/C][C]0.2611[/C][C]0.397378[/C][/ROW]
[ROW][C]56[/C][C]-0.092429[/C][C]-0.7843[/C][C]0.217723[/C][/ROW]
[ROW][C]57[/C][C]-0.004979[/C][C]-0.0422[/C][C]0.48321[/C][/ROW]
[ROW][C]58[/C][C]-0.030113[/C][C]-0.2555[/C][C]0.399528[/C][/ROW]
[ROW][C]59[/C][C]0.153107[/C][C]1.2992[/C][C]0.099017[/C][/ROW]
[ROW][C]60[/C][C]-0.050209[/C][C]-0.426[/C][C]0.335677[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35013&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35013&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
10.7477916.34520
20.3076382.61040.005498
30.1038430.88110.190589
4-0.214654-1.82140.03635
50.0003330.00280.498876
6-0.025404-0.21560.414969
7-0.098155-0.83290.203834
8-0.0156-0.13240.447531
90.1690871.43480.077844
10-0.202648-1.71950.044908
110.0198520.16840.433352
120.0364330.30910.379053
130.1023150.86820.194091
140.1431051.21430.114303
150.0539320.45760.324298
16-0.102895-0.87310.192759
170.1585431.34530.091378
180.0404850.34350.366102
19-0.133992-1.1370.129662
20-0.002068-0.01750.493024
21-0.030109-0.25550.399541
22-0.231799-1.96690.026526
230.0869450.73770.231532
24-0.204951-1.73910.043148
250.0639140.54230.294633
260.0134280.11390.454802
27-0.075647-0.64190.261494
28-0.065354-0.55450.290461
29-0.138808-1.17780.121373
30-0.046885-0.39780.345966
310.0444280.3770.353648
320.0413870.35120.363241
330.0601950.51080.305536
34-0.044408-0.37680.353709
35-0.089097-0.7560.226054
360.0099220.08420.46657
37-0.030482-0.25860.398323
38-0.010855-0.09210.463435
390.0202610.17190.431991
40-0.117052-0.99320.161964
410.0431830.36640.357563
420.0175870.14920.440895
430.0401150.34040.367279
44-0.08432-0.71550.238314
450.0042580.03610.485639
46-0.001255-0.01070.495766
47-0.008138-0.06910.472569
48-0.075445-0.64020.262045
490.0358670.30430.380874
50-0.034068-0.28910.386678
51-0.00458-0.03890.484554
52-0.005016-0.04260.483085
530.0703210.59670.276292
54-0.058105-0.4930.311745
550.0307720.26110.397378
56-0.092429-0.78430.217723
57-0.004979-0.04220.48321
58-0.030113-0.25550.399528
590.1531071.29920.099017
60-0.050209-0.4260.335677



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')