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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 06:28:10 -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/t1229693415yqhpdflmo131xzh.htm/, Retrieved Wed, 15 May 2024 21:02:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35119, Retrieved Wed, 15 May 2024 21:02:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
- RMPD  [Spectral Analysis] [Spectrum suiker m...] [2008-12-09 16:30:42] [f77c9ab3b413812d7baee6b7ec69a15d]
- RMPD      [(Partial) Autocorrelation Function] [AC Chocopasta] [2008-12-19 13:28:10] [d300b7a0882cee7d84584ad37a3d4ede] [Current]
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Dataseries X:
101.73
101.63
101.43
101.34
101.01
100.89
100.93
100.77
100.3
99.86
99.71
99.93
99.88
99.92
99.87
99.63
100.05
99.88
100.11
100.05
100.07
100.2
100.21
99.76
99.41
99.24
99.65
99.7
99.79
99.84
101
101.62
101.98
101.46
102.28
102.14
102.02
102.21
101.61
102.38
102.19
102.04
101.76
101.9
102.01
102.37
103.04
103.42
103.76
104.41
104.75
104.28
103.89
104.09
103.8
105.03
105.86
106.04
106.03
106.13
107.21
107.66
108.08
108.76
108.26
108.71
108.65
108.61
108.86
109.54
108.22
108.77
109.9
110.13
109.6
110.42
110.6
109.73
110.72
111.08
111.14
111.01
110.56
111.57




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=35119&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=35119&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35119&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
1-0.046118-0.42020.337729
2-0.084984-0.77420.220494
30.1145461.04360.149859
40.0668940.60940.271952
5-0.011796-0.10750.45734
60.0265670.2420.404676
70.091990.83810.202199
8-0.106453-0.96980.167474
9-0.021225-0.19340.423572
100.0515490.46960.319925
110.0228690.20830.417736
120.1048660.95540.171081
130.0442390.4030.343979
140.0017810.01620.493545
150.0307040.27970.390191
160.2388082.17560.016213
17-0.028883-0.26310.396548
180.089730.81750.207997
190.0450050.410.341426
20-0.055618-0.50670.306854
21-0.113601-1.0350.151849
22-0.15618-1.42290.079262
230.1448911.320.095229
24-0.07507-0.68390.247966
25-0.016496-0.15030.440453
260.0769820.70130.242525
27-0.098516-0.89750.186017
280.0796130.72530.235151
290.1018860.92820.177992
300.06460.58850.278885
31-0.074518-0.67890.249549
320.008160.07430.470459
330.0149660.13640.445937
340.0099170.09030.464115
350.0072040.06560.473916
36-0.109485-0.99750.16072
370.013150.11980.452466
38-0.081176-0.73950.23083
390.0325590.29660.383747
40-0.152833-1.39240.083765
410.0477980.43550.332178
420.005010.04560.48185
43-0.09011-0.82090.207015
440.0772940.70420.241646
45-0.045788-0.41710.338824
46-0.045627-0.41570.339357
47-0.056702-0.51660.303412
48-0.078826-0.71810.237345
490.056750.5170.30326
50-0.052471-0.4780.316942
51-0.081974-0.74680.228642
52-0.07729-0.70410.241656
530.0140850.12830.449103
54-0.074885-0.68220.248495
55-0.041052-0.3740.354678
56-0.03838-0.34970.36374
570.0119830.10920.456665
58-0.032227-0.29360.384898
59-0.044175-0.40250.344193
60-0.020849-0.18990.424909

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.046118 & -0.4202 & 0.337729 \tabularnewline
2 & -0.084984 & -0.7742 & 0.220494 \tabularnewline
3 & 0.114546 & 1.0436 & 0.149859 \tabularnewline
4 & 0.066894 & 0.6094 & 0.271952 \tabularnewline
5 & -0.011796 & -0.1075 & 0.45734 \tabularnewline
6 & 0.026567 & 0.242 & 0.404676 \tabularnewline
7 & 0.09199 & 0.8381 & 0.202199 \tabularnewline
8 & -0.106453 & -0.9698 & 0.167474 \tabularnewline
9 & -0.021225 & -0.1934 & 0.423572 \tabularnewline
10 & 0.051549 & 0.4696 & 0.319925 \tabularnewline
11 & 0.022869 & 0.2083 & 0.417736 \tabularnewline
12 & 0.104866 & 0.9554 & 0.171081 \tabularnewline
13 & 0.044239 & 0.403 & 0.343979 \tabularnewline
14 & 0.001781 & 0.0162 & 0.493545 \tabularnewline
15 & 0.030704 & 0.2797 & 0.390191 \tabularnewline
16 & 0.238808 & 2.1756 & 0.016213 \tabularnewline
17 & -0.028883 & -0.2631 & 0.396548 \tabularnewline
18 & 0.08973 & 0.8175 & 0.207997 \tabularnewline
19 & 0.045005 & 0.41 & 0.341426 \tabularnewline
20 & -0.055618 & -0.5067 & 0.306854 \tabularnewline
21 & -0.113601 & -1.035 & 0.151849 \tabularnewline
22 & -0.15618 & -1.4229 & 0.079262 \tabularnewline
23 & 0.144891 & 1.32 & 0.095229 \tabularnewline
24 & -0.07507 & -0.6839 & 0.247966 \tabularnewline
25 & -0.016496 & -0.1503 & 0.440453 \tabularnewline
26 & 0.076982 & 0.7013 & 0.242525 \tabularnewline
27 & -0.098516 & -0.8975 & 0.186017 \tabularnewline
28 & 0.079613 & 0.7253 & 0.235151 \tabularnewline
29 & 0.101886 & 0.9282 & 0.177992 \tabularnewline
30 & 0.0646 & 0.5885 & 0.278885 \tabularnewline
31 & -0.074518 & -0.6789 & 0.249549 \tabularnewline
32 & 0.00816 & 0.0743 & 0.470459 \tabularnewline
33 & 0.014966 & 0.1364 & 0.445937 \tabularnewline
34 & 0.009917 & 0.0903 & 0.464115 \tabularnewline
35 & 0.007204 & 0.0656 & 0.473916 \tabularnewline
36 & -0.109485 & -0.9975 & 0.16072 \tabularnewline
37 & 0.01315 & 0.1198 & 0.452466 \tabularnewline
38 & -0.081176 & -0.7395 & 0.23083 \tabularnewline
39 & 0.032559 & 0.2966 & 0.383747 \tabularnewline
40 & -0.152833 & -1.3924 & 0.083765 \tabularnewline
41 & 0.047798 & 0.4355 & 0.332178 \tabularnewline
42 & 0.00501 & 0.0456 & 0.48185 \tabularnewline
43 & -0.09011 & -0.8209 & 0.207015 \tabularnewline
44 & 0.077294 & 0.7042 & 0.241646 \tabularnewline
45 & -0.045788 & -0.4171 & 0.338824 \tabularnewline
46 & -0.045627 & -0.4157 & 0.339357 \tabularnewline
47 & -0.056702 & -0.5166 & 0.303412 \tabularnewline
48 & -0.078826 & -0.7181 & 0.237345 \tabularnewline
49 & 0.05675 & 0.517 & 0.30326 \tabularnewline
50 & -0.052471 & -0.478 & 0.316942 \tabularnewline
51 & -0.081974 & -0.7468 & 0.228642 \tabularnewline
52 & -0.07729 & -0.7041 & 0.241656 \tabularnewline
53 & 0.014085 & 0.1283 & 0.449103 \tabularnewline
54 & -0.074885 & -0.6822 & 0.248495 \tabularnewline
55 & -0.041052 & -0.374 & 0.354678 \tabularnewline
56 & -0.03838 & -0.3497 & 0.36374 \tabularnewline
57 & 0.011983 & 0.1092 & 0.456665 \tabularnewline
58 & -0.032227 & -0.2936 & 0.384898 \tabularnewline
59 & -0.044175 & -0.4025 & 0.344193 \tabularnewline
60 & -0.020849 & -0.1899 & 0.424909 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35119&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]-0.046118[/C][C]-0.4202[/C][C]0.337729[/C][/ROW]
[ROW][C]2[/C][C]-0.084984[/C][C]-0.7742[/C][C]0.220494[/C][/ROW]
[ROW][C]3[/C][C]0.114546[/C][C]1.0436[/C][C]0.149859[/C][/ROW]
[ROW][C]4[/C][C]0.066894[/C][C]0.6094[/C][C]0.271952[/C][/ROW]
[ROW][C]5[/C][C]-0.011796[/C][C]-0.1075[/C][C]0.45734[/C][/ROW]
[ROW][C]6[/C][C]0.026567[/C][C]0.242[/C][C]0.404676[/C][/ROW]
[ROW][C]7[/C][C]0.09199[/C][C]0.8381[/C][C]0.202199[/C][/ROW]
[ROW][C]8[/C][C]-0.106453[/C][C]-0.9698[/C][C]0.167474[/C][/ROW]
[ROW][C]9[/C][C]-0.021225[/C][C]-0.1934[/C][C]0.423572[/C][/ROW]
[ROW][C]10[/C][C]0.051549[/C][C]0.4696[/C][C]0.319925[/C][/ROW]
[ROW][C]11[/C][C]0.022869[/C][C]0.2083[/C][C]0.417736[/C][/ROW]
[ROW][C]12[/C][C]0.104866[/C][C]0.9554[/C][C]0.171081[/C][/ROW]
[ROW][C]13[/C][C]0.044239[/C][C]0.403[/C][C]0.343979[/C][/ROW]
[ROW][C]14[/C][C]0.001781[/C][C]0.0162[/C][C]0.493545[/C][/ROW]
[ROW][C]15[/C][C]0.030704[/C][C]0.2797[/C][C]0.390191[/C][/ROW]
[ROW][C]16[/C][C]0.238808[/C][C]2.1756[/C][C]0.016213[/C][/ROW]
[ROW][C]17[/C][C]-0.028883[/C][C]-0.2631[/C][C]0.396548[/C][/ROW]
[ROW][C]18[/C][C]0.08973[/C][C]0.8175[/C][C]0.207997[/C][/ROW]
[ROW][C]19[/C][C]0.045005[/C][C]0.41[/C][C]0.341426[/C][/ROW]
[ROW][C]20[/C][C]-0.055618[/C][C]-0.5067[/C][C]0.306854[/C][/ROW]
[ROW][C]21[/C][C]-0.113601[/C][C]-1.035[/C][C]0.151849[/C][/ROW]
[ROW][C]22[/C][C]-0.15618[/C][C]-1.4229[/C][C]0.079262[/C][/ROW]
[ROW][C]23[/C][C]0.144891[/C][C]1.32[/C][C]0.095229[/C][/ROW]
[ROW][C]24[/C][C]-0.07507[/C][C]-0.6839[/C][C]0.247966[/C][/ROW]
[ROW][C]25[/C][C]-0.016496[/C][C]-0.1503[/C][C]0.440453[/C][/ROW]
[ROW][C]26[/C][C]0.076982[/C][C]0.7013[/C][C]0.242525[/C][/ROW]
[ROW][C]27[/C][C]-0.098516[/C][C]-0.8975[/C][C]0.186017[/C][/ROW]
[ROW][C]28[/C][C]0.079613[/C][C]0.7253[/C][C]0.235151[/C][/ROW]
[ROW][C]29[/C][C]0.101886[/C][C]0.9282[/C][C]0.177992[/C][/ROW]
[ROW][C]30[/C][C]0.0646[/C][C]0.5885[/C][C]0.278885[/C][/ROW]
[ROW][C]31[/C][C]-0.074518[/C][C]-0.6789[/C][C]0.249549[/C][/ROW]
[ROW][C]32[/C][C]0.00816[/C][C]0.0743[/C][C]0.470459[/C][/ROW]
[ROW][C]33[/C][C]0.014966[/C][C]0.1364[/C][C]0.445937[/C][/ROW]
[ROW][C]34[/C][C]0.009917[/C][C]0.0903[/C][C]0.464115[/C][/ROW]
[ROW][C]35[/C][C]0.007204[/C][C]0.0656[/C][C]0.473916[/C][/ROW]
[ROW][C]36[/C][C]-0.109485[/C][C]-0.9975[/C][C]0.16072[/C][/ROW]
[ROW][C]37[/C][C]0.01315[/C][C]0.1198[/C][C]0.452466[/C][/ROW]
[ROW][C]38[/C][C]-0.081176[/C][C]-0.7395[/C][C]0.23083[/C][/ROW]
[ROW][C]39[/C][C]0.032559[/C][C]0.2966[/C][C]0.383747[/C][/ROW]
[ROW][C]40[/C][C]-0.152833[/C][C]-1.3924[/C][C]0.083765[/C][/ROW]
[ROW][C]41[/C][C]0.047798[/C][C]0.4355[/C][C]0.332178[/C][/ROW]
[ROW][C]42[/C][C]0.00501[/C][C]0.0456[/C][C]0.48185[/C][/ROW]
[ROW][C]43[/C][C]-0.09011[/C][C]-0.8209[/C][C]0.207015[/C][/ROW]
[ROW][C]44[/C][C]0.077294[/C][C]0.7042[/C][C]0.241646[/C][/ROW]
[ROW][C]45[/C][C]-0.045788[/C][C]-0.4171[/C][C]0.338824[/C][/ROW]
[ROW][C]46[/C][C]-0.045627[/C][C]-0.4157[/C][C]0.339357[/C][/ROW]
[ROW][C]47[/C][C]-0.056702[/C][C]-0.5166[/C][C]0.303412[/C][/ROW]
[ROW][C]48[/C][C]-0.078826[/C][C]-0.7181[/C][C]0.237345[/C][/ROW]
[ROW][C]49[/C][C]0.05675[/C][C]0.517[/C][C]0.30326[/C][/ROW]
[ROW][C]50[/C][C]-0.052471[/C][C]-0.478[/C][C]0.316942[/C][/ROW]
[ROW][C]51[/C][C]-0.081974[/C][C]-0.7468[/C][C]0.228642[/C][/ROW]
[ROW][C]52[/C][C]-0.07729[/C][C]-0.7041[/C][C]0.241656[/C][/ROW]
[ROW][C]53[/C][C]0.014085[/C][C]0.1283[/C][C]0.449103[/C][/ROW]
[ROW][C]54[/C][C]-0.074885[/C][C]-0.6822[/C][C]0.248495[/C][/ROW]
[ROW][C]55[/C][C]-0.041052[/C][C]-0.374[/C][C]0.354678[/C][/ROW]
[ROW][C]56[/C][C]-0.03838[/C][C]-0.3497[/C][C]0.36374[/C][/ROW]
[ROW][C]57[/C][C]0.011983[/C][C]0.1092[/C][C]0.456665[/C][/ROW]
[ROW][C]58[/C][C]-0.032227[/C][C]-0.2936[/C][C]0.384898[/C][/ROW]
[ROW][C]59[/C][C]-0.044175[/C][C]-0.4025[/C][C]0.344193[/C][/ROW]
[ROW][C]60[/C][C]-0.020849[/C][C]-0.1899[/C][C]0.424909[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35119&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35119&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
1-0.046118-0.42020.337729
2-0.084984-0.77420.220494
30.1145461.04360.149859
40.0668940.60940.271952
5-0.011796-0.10750.45734
60.0265670.2420.404676
70.091990.83810.202199
8-0.106453-0.96980.167474
9-0.021225-0.19340.423572
100.0515490.46960.319925
110.0228690.20830.417736
120.1048660.95540.171081
130.0442390.4030.343979
140.0017810.01620.493545
150.0307040.27970.390191
160.2388082.17560.016213
17-0.028883-0.26310.396548
180.089730.81750.207997
190.0450050.410.341426
20-0.055618-0.50670.306854
21-0.113601-1.0350.151849
22-0.15618-1.42290.079262
230.1448911.320.095229
24-0.07507-0.68390.247966
25-0.016496-0.15030.440453
260.0769820.70130.242525
27-0.098516-0.89750.186017
280.0796130.72530.235151
290.1018860.92820.177992
300.06460.58850.278885
31-0.074518-0.67890.249549
320.008160.07430.470459
330.0149660.13640.445937
340.0099170.09030.464115
350.0072040.06560.473916
36-0.109485-0.99750.16072
370.013150.11980.452466
38-0.081176-0.73950.23083
390.0325590.29660.383747
40-0.152833-1.39240.083765
410.0477980.43550.332178
420.005010.04560.48185
43-0.09011-0.82090.207015
440.0772940.70420.241646
45-0.045788-0.41710.338824
46-0.045627-0.41570.339357
47-0.056702-0.51660.303412
48-0.078826-0.71810.237345
490.056750.5170.30326
50-0.052471-0.4780.316942
51-0.081974-0.74680.228642
52-0.07729-0.70410.241656
530.0140850.12830.449103
54-0.074885-0.68220.248495
55-0.041052-0.3740.354678
56-0.03838-0.34970.36374
570.0119830.10920.456665
58-0.032227-0.29360.384898
59-0.044175-0.40250.344193
60-0.020849-0.18990.424909







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.046118-0.42020.337729
2-0.087296-0.79530.214352
30.1073030.97760.165562
40.0710530.64730.259604
50.0131430.11970.452489
60.025810.23510.407339
70.0812870.74060.230525
8-0.102194-0.9310.177269
9-0.024545-0.22360.411804
100.0118390.10790.457183
110.0343880.31330.377424
120.1350861.23070.110958
130.0579080.52760.299602
140.01350.1230.451205
150.0272390.24820.402312
160.2195211.99990.024389
17-0.023468-0.21380.415614
180.1243111.13250.130338
19-0.011381-0.10370.458836
20-0.046817-0.42650.335417
21-0.144162-1.31340.096337
22-0.246293-2.24380.013753
230.0704620.64190.261342
24-0.04514-0.41120.340976
250.0486190.44290.32948
260.0905410.82490.205905
27-0.094313-0.85920.196344
280.059580.54280.294361
290.0637380.58070.281513
300.0194620.17730.429848
31-0.059804-0.54480.293661
32-0.059163-0.5390.295665
33-0.004349-0.03960.484246
340.02810.2560.39929
35-0.011906-0.10850.456943
36-0.103466-0.94260.174305
370.1087250.99050.162396
380.0050640.04610.481658
390.0543450.49510.310916
40-0.141541-1.28950.100403
41-0.036306-0.33080.370828
42-0.0869-0.79170.215398
43-0.065208-0.59410.277039
44-0.014374-0.1310.448065
45-0.047335-0.43120.333704
46-0.074007-0.67420.251018
47-0.016802-0.15310.439355
48-0.104558-0.95260.171788
490.0604990.55120.291497
500.0755240.68810.246667
51-0.035752-0.32570.372729
52-0.022639-0.20620.41855
53-0.05535-0.50430.307706
54-0.053189-0.48460.314627
55-0.026354-0.24010.405423
56-0.003988-0.03630.485551
570.0123380.11240.455388
580.0369920.3370.368478
590.0391230.35640.361214
60-0.060773-0.55370.290647

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.046118 & -0.4202 & 0.337729 \tabularnewline
2 & -0.087296 & -0.7953 & 0.214352 \tabularnewline
3 & 0.107303 & 0.9776 & 0.165562 \tabularnewline
4 & 0.071053 & 0.6473 & 0.259604 \tabularnewline
5 & 0.013143 & 0.1197 & 0.452489 \tabularnewline
6 & 0.02581 & 0.2351 & 0.407339 \tabularnewline
7 & 0.081287 & 0.7406 & 0.230525 \tabularnewline
8 & -0.102194 & -0.931 & 0.177269 \tabularnewline
9 & -0.024545 & -0.2236 & 0.411804 \tabularnewline
10 & 0.011839 & 0.1079 & 0.457183 \tabularnewline
11 & 0.034388 & 0.3133 & 0.377424 \tabularnewline
12 & 0.135086 & 1.2307 & 0.110958 \tabularnewline
13 & 0.057908 & 0.5276 & 0.299602 \tabularnewline
14 & 0.0135 & 0.123 & 0.451205 \tabularnewline
15 & 0.027239 & 0.2482 & 0.402312 \tabularnewline
16 & 0.219521 & 1.9999 & 0.024389 \tabularnewline
17 & -0.023468 & -0.2138 & 0.415614 \tabularnewline
18 & 0.124311 & 1.1325 & 0.130338 \tabularnewline
19 & -0.011381 & -0.1037 & 0.458836 \tabularnewline
20 & -0.046817 & -0.4265 & 0.335417 \tabularnewline
21 & -0.144162 & -1.3134 & 0.096337 \tabularnewline
22 & -0.246293 & -2.2438 & 0.013753 \tabularnewline
23 & 0.070462 & 0.6419 & 0.261342 \tabularnewline
24 & -0.04514 & -0.4112 & 0.340976 \tabularnewline
25 & 0.048619 & 0.4429 & 0.32948 \tabularnewline
26 & 0.090541 & 0.8249 & 0.205905 \tabularnewline
27 & -0.094313 & -0.8592 & 0.196344 \tabularnewline
28 & 0.05958 & 0.5428 & 0.294361 \tabularnewline
29 & 0.063738 & 0.5807 & 0.281513 \tabularnewline
30 & 0.019462 & 0.1773 & 0.429848 \tabularnewline
31 & -0.059804 & -0.5448 & 0.293661 \tabularnewline
32 & -0.059163 & -0.539 & 0.295665 \tabularnewline
33 & -0.004349 & -0.0396 & 0.484246 \tabularnewline
34 & 0.0281 & 0.256 & 0.39929 \tabularnewline
35 & -0.011906 & -0.1085 & 0.456943 \tabularnewline
36 & -0.103466 & -0.9426 & 0.174305 \tabularnewline
37 & 0.108725 & 0.9905 & 0.162396 \tabularnewline
38 & 0.005064 & 0.0461 & 0.481658 \tabularnewline
39 & 0.054345 & 0.4951 & 0.310916 \tabularnewline
40 & -0.141541 & -1.2895 & 0.100403 \tabularnewline
41 & -0.036306 & -0.3308 & 0.370828 \tabularnewline
42 & -0.0869 & -0.7917 & 0.215398 \tabularnewline
43 & -0.065208 & -0.5941 & 0.277039 \tabularnewline
44 & -0.014374 & -0.131 & 0.448065 \tabularnewline
45 & -0.047335 & -0.4312 & 0.333704 \tabularnewline
46 & -0.074007 & -0.6742 & 0.251018 \tabularnewline
47 & -0.016802 & -0.1531 & 0.439355 \tabularnewline
48 & -0.104558 & -0.9526 & 0.171788 \tabularnewline
49 & 0.060499 & 0.5512 & 0.291497 \tabularnewline
50 & 0.075524 & 0.6881 & 0.246667 \tabularnewline
51 & -0.035752 & -0.3257 & 0.372729 \tabularnewline
52 & -0.022639 & -0.2062 & 0.41855 \tabularnewline
53 & -0.05535 & -0.5043 & 0.307706 \tabularnewline
54 & -0.053189 & -0.4846 & 0.314627 \tabularnewline
55 & -0.026354 & -0.2401 & 0.405423 \tabularnewline
56 & -0.003988 & -0.0363 & 0.485551 \tabularnewline
57 & 0.012338 & 0.1124 & 0.455388 \tabularnewline
58 & 0.036992 & 0.337 & 0.368478 \tabularnewline
59 & 0.039123 & 0.3564 & 0.361214 \tabularnewline
60 & -0.060773 & -0.5537 & 0.290647 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35119&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]-0.046118[/C][C]-0.4202[/C][C]0.337729[/C][/ROW]
[ROW][C]2[/C][C]-0.087296[/C][C]-0.7953[/C][C]0.214352[/C][/ROW]
[ROW][C]3[/C][C]0.107303[/C][C]0.9776[/C][C]0.165562[/C][/ROW]
[ROW][C]4[/C][C]0.071053[/C][C]0.6473[/C][C]0.259604[/C][/ROW]
[ROW][C]5[/C][C]0.013143[/C][C]0.1197[/C][C]0.452489[/C][/ROW]
[ROW][C]6[/C][C]0.02581[/C][C]0.2351[/C][C]0.407339[/C][/ROW]
[ROW][C]7[/C][C]0.081287[/C][C]0.7406[/C][C]0.230525[/C][/ROW]
[ROW][C]8[/C][C]-0.102194[/C][C]-0.931[/C][C]0.177269[/C][/ROW]
[ROW][C]9[/C][C]-0.024545[/C][C]-0.2236[/C][C]0.411804[/C][/ROW]
[ROW][C]10[/C][C]0.011839[/C][C]0.1079[/C][C]0.457183[/C][/ROW]
[ROW][C]11[/C][C]0.034388[/C][C]0.3133[/C][C]0.377424[/C][/ROW]
[ROW][C]12[/C][C]0.135086[/C][C]1.2307[/C][C]0.110958[/C][/ROW]
[ROW][C]13[/C][C]0.057908[/C][C]0.5276[/C][C]0.299602[/C][/ROW]
[ROW][C]14[/C][C]0.0135[/C][C]0.123[/C][C]0.451205[/C][/ROW]
[ROW][C]15[/C][C]0.027239[/C][C]0.2482[/C][C]0.402312[/C][/ROW]
[ROW][C]16[/C][C]0.219521[/C][C]1.9999[/C][C]0.024389[/C][/ROW]
[ROW][C]17[/C][C]-0.023468[/C][C]-0.2138[/C][C]0.415614[/C][/ROW]
[ROW][C]18[/C][C]0.124311[/C][C]1.1325[/C][C]0.130338[/C][/ROW]
[ROW][C]19[/C][C]-0.011381[/C][C]-0.1037[/C][C]0.458836[/C][/ROW]
[ROW][C]20[/C][C]-0.046817[/C][C]-0.4265[/C][C]0.335417[/C][/ROW]
[ROW][C]21[/C][C]-0.144162[/C][C]-1.3134[/C][C]0.096337[/C][/ROW]
[ROW][C]22[/C][C]-0.246293[/C][C]-2.2438[/C][C]0.013753[/C][/ROW]
[ROW][C]23[/C][C]0.070462[/C][C]0.6419[/C][C]0.261342[/C][/ROW]
[ROW][C]24[/C][C]-0.04514[/C][C]-0.4112[/C][C]0.340976[/C][/ROW]
[ROW][C]25[/C][C]0.048619[/C][C]0.4429[/C][C]0.32948[/C][/ROW]
[ROW][C]26[/C][C]0.090541[/C][C]0.8249[/C][C]0.205905[/C][/ROW]
[ROW][C]27[/C][C]-0.094313[/C][C]-0.8592[/C][C]0.196344[/C][/ROW]
[ROW][C]28[/C][C]0.05958[/C][C]0.5428[/C][C]0.294361[/C][/ROW]
[ROW][C]29[/C][C]0.063738[/C][C]0.5807[/C][C]0.281513[/C][/ROW]
[ROW][C]30[/C][C]0.019462[/C][C]0.1773[/C][C]0.429848[/C][/ROW]
[ROW][C]31[/C][C]-0.059804[/C][C]-0.5448[/C][C]0.293661[/C][/ROW]
[ROW][C]32[/C][C]-0.059163[/C][C]-0.539[/C][C]0.295665[/C][/ROW]
[ROW][C]33[/C][C]-0.004349[/C][C]-0.0396[/C][C]0.484246[/C][/ROW]
[ROW][C]34[/C][C]0.0281[/C][C]0.256[/C][C]0.39929[/C][/ROW]
[ROW][C]35[/C][C]-0.011906[/C][C]-0.1085[/C][C]0.456943[/C][/ROW]
[ROW][C]36[/C][C]-0.103466[/C][C]-0.9426[/C][C]0.174305[/C][/ROW]
[ROW][C]37[/C][C]0.108725[/C][C]0.9905[/C][C]0.162396[/C][/ROW]
[ROW][C]38[/C][C]0.005064[/C][C]0.0461[/C][C]0.481658[/C][/ROW]
[ROW][C]39[/C][C]0.054345[/C][C]0.4951[/C][C]0.310916[/C][/ROW]
[ROW][C]40[/C][C]-0.141541[/C][C]-1.2895[/C][C]0.100403[/C][/ROW]
[ROW][C]41[/C][C]-0.036306[/C][C]-0.3308[/C][C]0.370828[/C][/ROW]
[ROW][C]42[/C][C]-0.0869[/C][C]-0.7917[/C][C]0.215398[/C][/ROW]
[ROW][C]43[/C][C]-0.065208[/C][C]-0.5941[/C][C]0.277039[/C][/ROW]
[ROW][C]44[/C][C]-0.014374[/C][C]-0.131[/C][C]0.448065[/C][/ROW]
[ROW][C]45[/C][C]-0.047335[/C][C]-0.4312[/C][C]0.333704[/C][/ROW]
[ROW][C]46[/C][C]-0.074007[/C][C]-0.6742[/C][C]0.251018[/C][/ROW]
[ROW][C]47[/C][C]-0.016802[/C][C]-0.1531[/C][C]0.439355[/C][/ROW]
[ROW][C]48[/C][C]-0.104558[/C][C]-0.9526[/C][C]0.171788[/C][/ROW]
[ROW][C]49[/C][C]0.060499[/C][C]0.5512[/C][C]0.291497[/C][/ROW]
[ROW][C]50[/C][C]0.075524[/C][C]0.6881[/C][C]0.246667[/C][/ROW]
[ROW][C]51[/C][C]-0.035752[/C][C]-0.3257[/C][C]0.372729[/C][/ROW]
[ROW][C]52[/C][C]-0.022639[/C][C]-0.2062[/C][C]0.41855[/C][/ROW]
[ROW][C]53[/C][C]-0.05535[/C][C]-0.5043[/C][C]0.307706[/C][/ROW]
[ROW][C]54[/C][C]-0.053189[/C][C]-0.4846[/C][C]0.314627[/C][/ROW]
[ROW][C]55[/C][C]-0.026354[/C][C]-0.2401[/C][C]0.405423[/C][/ROW]
[ROW][C]56[/C][C]-0.003988[/C][C]-0.0363[/C][C]0.485551[/C][/ROW]
[ROW][C]57[/C][C]0.012338[/C][C]0.1124[/C][C]0.455388[/C][/ROW]
[ROW][C]58[/C][C]0.036992[/C][C]0.337[/C][C]0.368478[/C][/ROW]
[ROW][C]59[/C][C]0.039123[/C][C]0.3564[/C][C]0.361214[/C][/ROW]
[ROW][C]60[/C][C]-0.060773[/C][C]-0.5537[/C][C]0.290647[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35119&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35119&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
1-0.046118-0.42020.337729
2-0.087296-0.79530.214352
30.1073030.97760.165562
40.0710530.64730.259604
50.0131430.11970.452489
60.025810.23510.407339
70.0812870.74060.230525
8-0.102194-0.9310.177269
9-0.024545-0.22360.411804
100.0118390.10790.457183
110.0343880.31330.377424
120.1350861.23070.110958
130.0579080.52760.299602
140.01350.1230.451205
150.0272390.24820.402312
160.2195211.99990.024389
17-0.023468-0.21380.415614
180.1243111.13250.130338
19-0.011381-0.10370.458836
20-0.046817-0.42650.335417
21-0.144162-1.31340.096337
22-0.246293-2.24380.013753
230.0704620.64190.261342
24-0.04514-0.41120.340976
250.0486190.44290.32948
260.0905410.82490.205905
27-0.094313-0.85920.196344
280.059580.54280.294361
290.0637380.58070.281513
300.0194620.17730.429848
31-0.059804-0.54480.293661
32-0.059163-0.5390.295665
33-0.004349-0.03960.484246
340.02810.2560.39929
35-0.011906-0.10850.456943
36-0.103466-0.94260.174305
370.1087250.99050.162396
380.0050640.04610.481658
390.0543450.49510.310916
40-0.141541-1.28950.100403
41-0.036306-0.33080.370828
42-0.0869-0.79170.215398
43-0.065208-0.59410.277039
44-0.014374-0.1310.448065
45-0.047335-0.43120.333704
46-0.074007-0.67420.251018
47-0.016802-0.15310.439355
48-0.104558-0.95260.171788
490.0604990.55120.291497
500.0755240.68810.246667
51-0.035752-0.32570.372729
52-0.022639-0.20620.41855
53-0.05535-0.50430.307706
54-0.053189-0.48460.314627
55-0.026354-0.24010.405423
56-0.003988-0.03630.485551
570.0123380.11240.455388
580.0369920.3370.368478
590.0391230.35640.361214
60-0.060773-0.55370.290647



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')