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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 computationSun, 07 Dec 2008 11:26:56 -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/07/t1228674454ll9uervubql8cjn.htm/, Retrieved Fri, 17 May 2024 06:38:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30220, Retrieved Fri, 17 May 2024 06:38:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [Standard Deviation-Mean Plot] [S1] [2008-12-07 17:37:06] [a0d819c22534897f04a2f0b92f1eb36a]
-    D    [Standard Deviation-Mean Plot] [S1] [2008-12-07 17:58:18] [a0d819c22534897f04a2f0b92f1eb36a]
- RM        [Variance Reduction Matrix] [s2] [2008-12-07 18:02:35] [a0d819c22534897f04a2f0b92f1eb36a]
- RMP         [(Partial) Autocorrelation Function] [S2 ACF] [2008-12-07 18:10:24] [a0d819c22534897f04a2f0b92f1eb36a]
-   P           [(Partial) Autocorrelation Function] [s2] [2008-12-07 18:12:59] [a0d819c22534897f04a2f0b92f1eb36a]
-   P             [(Partial) Autocorrelation Function] [s2 ACF] [2008-12-07 18:25:03] [a0d819c22534897f04a2f0b92f1eb36a]
-                     [(Partial) Autocorrelation Function] [s2 acf d1D1] [2008-12-07 18:26:56] [5f3e73ccf1ddc75508eed47fa51813d3] [Current]
- RM                    [Spectral Analysis] [S2 SA - d0 D0 L1] [2008-12-07 18:29:54] [a0d819c22534897f04a2f0b92f1eb36a]
-                         [Spectral Analysis] [s2 SA d1D1 L1] [2008-12-07 18:32:14] [a0d819c22534897f04a2f0b92f1eb36a]
-                           [Spectral Analysis] [s3] [2008-12-07 18:39:13] [a0d819c22534897f04a2f0b92f1eb36a]
-                             [Spectral Analysis] [s3 sa] [2008-12-07 18:42:05] [a0d819c22534897f04a2f0b92f1eb36a]
- RM                            [(Partial) Autocorrelation Function] [s4] [2008-12-07 18:48:27] [a0d819c22534897f04a2f0b92f1eb36a]
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Dataseries X:
137
136
133
126
120
114
116
153
162
161
149
139
135
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105
105
101
95
93
84
87
116
120
117
109
105




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30220&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30220&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30220&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.09187-0.62980.265929
20.1549181.06210.146817
3-0.12566-0.86150.196674
40.0186480.12780.449408
5-0.167771-1.15020.127944
6-0.046807-0.32090.374857
70.1393860.95560.172086
8-0.046977-0.32210.374418
90.1079420.740.231486
10-0.038826-0.26620.395634
110.4204612.88250.002965
12-0.198719-1.36230.089791
130.019140.13120.448081
14-0.098587-0.67590.251215
15-0.033303-0.22830.410197
16-0.266801-1.82910.036867
170.0009850.00680.49732
18-0.022807-0.15640.438211
19-0.102-0.69930.243914
200.0711260.48760.314046
21-0.002426-0.01660.493399
220.1781821.22160.113984
23-0.14953-1.02510.155275
24-0.078885-0.54080.295597
250.0081240.05570.47791
26-0.029127-0.19970.421294
27-0.09743-0.66790.253718
28-0.026672-0.18290.427848
290.0201260.1380.445423
300.0068340.04680.481416
310.0882580.60510.274024
320.067370.46190.323155
33-0.024835-0.17030.432767
34-0.076942-0.52750.300168
35-0.055945-0.38350.351526
360.0178280.12220.451621
370.0230210.15780.437636
380.0048690.03340.486755
39-0.018699-0.12820.44927
40-0.002952-0.02020.491971
41-0.066116-0.45330.326221
420.0522230.3580.360964
430.0390420.26770.395067
44-0.005637-0.03860.484668
45-0.010609-0.07270.471165
46-0.052551-0.36030.360129
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.09187 & -0.6298 & 0.265929 \tabularnewline
2 & 0.154918 & 1.0621 & 0.146817 \tabularnewline
3 & -0.12566 & -0.8615 & 0.196674 \tabularnewline
4 & 0.018648 & 0.1278 & 0.449408 \tabularnewline
5 & -0.167771 & -1.1502 & 0.127944 \tabularnewline
6 & -0.046807 & -0.3209 & 0.374857 \tabularnewline
7 & 0.139386 & 0.9556 & 0.172086 \tabularnewline
8 & -0.046977 & -0.3221 & 0.374418 \tabularnewline
9 & 0.107942 & 0.74 & 0.231486 \tabularnewline
10 & -0.038826 & -0.2662 & 0.395634 \tabularnewline
11 & 0.420461 & 2.8825 & 0.002965 \tabularnewline
12 & -0.198719 & -1.3623 & 0.089791 \tabularnewline
13 & 0.01914 & 0.1312 & 0.448081 \tabularnewline
14 & -0.098587 & -0.6759 & 0.251215 \tabularnewline
15 & -0.033303 & -0.2283 & 0.410197 \tabularnewline
16 & -0.266801 & -1.8291 & 0.036867 \tabularnewline
17 & 0.000985 & 0.0068 & 0.49732 \tabularnewline
18 & -0.022807 & -0.1564 & 0.438211 \tabularnewline
19 & -0.102 & -0.6993 & 0.243914 \tabularnewline
20 & 0.071126 & 0.4876 & 0.314046 \tabularnewline
21 & -0.002426 & -0.0166 & 0.493399 \tabularnewline
22 & 0.178182 & 1.2216 & 0.113984 \tabularnewline
23 & -0.14953 & -1.0251 & 0.155275 \tabularnewline
24 & -0.078885 & -0.5408 & 0.295597 \tabularnewline
25 & 0.008124 & 0.0557 & 0.47791 \tabularnewline
26 & -0.029127 & -0.1997 & 0.421294 \tabularnewline
27 & -0.09743 & -0.6679 & 0.253718 \tabularnewline
28 & -0.026672 & -0.1829 & 0.427848 \tabularnewline
29 & 0.020126 & 0.138 & 0.445423 \tabularnewline
30 & 0.006834 & 0.0468 & 0.481416 \tabularnewline
31 & 0.088258 & 0.6051 & 0.274024 \tabularnewline
32 & 0.06737 & 0.4619 & 0.323155 \tabularnewline
33 & -0.024835 & -0.1703 & 0.432767 \tabularnewline
34 & -0.076942 & -0.5275 & 0.300168 \tabularnewline
35 & -0.055945 & -0.3835 & 0.351526 \tabularnewline
36 & 0.017828 & 0.1222 & 0.451621 \tabularnewline
37 & 0.023021 & 0.1578 & 0.437636 \tabularnewline
38 & 0.004869 & 0.0334 & 0.486755 \tabularnewline
39 & -0.018699 & -0.1282 & 0.44927 \tabularnewline
40 & -0.002952 & -0.0202 & 0.491971 \tabularnewline
41 & -0.066116 & -0.4533 & 0.326221 \tabularnewline
42 & 0.052223 & 0.358 & 0.360964 \tabularnewline
43 & 0.039042 & 0.2677 & 0.395067 \tabularnewline
44 & -0.005637 & -0.0386 & 0.484668 \tabularnewline
45 & -0.010609 & -0.0727 & 0.471165 \tabularnewline
46 & -0.052551 & -0.3603 & 0.360129 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \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=30220&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]-0.09187[/C][C]-0.6298[/C][C]0.265929[/C][/ROW]
[ROW][C]2[/C][C]0.154918[/C][C]1.0621[/C][C]0.146817[/C][/ROW]
[ROW][C]3[/C][C]-0.12566[/C][C]-0.8615[/C][C]0.196674[/C][/ROW]
[ROW][C]4[/C][C]0.018648[/C][C]0.1278[/C][C]0.449408[/C][/ROW]
[ROW][C]5[/C][C]-0.167771[/C][C]-1.1502[/C][C]0.127944[/C][/ROW]
[ROW][C]6[/C][C]-0.046807[/C][C]-0.3209[/C][C]0.374857[/C][/ROW]
[ROW][C]7[/C][C]0.139386[/C][C]0.9556[/C][C]0.172086[/C][/ROW]
[ROW][C]8[/C][C]-0.046977[/C][C]-0.3221[/C][C]0.374418[/C][/ROW]
[ROW][C]9[/C][C]0.107942[/C][C]0.74[/C][C]0.231486[/C][/ROW]
[ROW][C]10[/C][C]-0.038826[/C][C]-0.2662[/C][C]0.395634[/C][/ROW]
[ROW][C]11[/C][C]0.420461[/C][C]2.8825[/C][C]0.002965[/C][/ROW]
[ROW][C]12[/C][C]-0.198719[/C][C]-1.3623[/C][C]0.089791[/C][/ROW]
[ROW][C]13[/C][C]0.01914[/C][C]0.1312[/C][C]0.448081[/C][/ROW]
[ROW][C]14[/C][C]-0.098587[/C][C]-0.6759[/C][C]0.251215[/C][/ROW]
[ROW][C]15[/C][C]-0.033303[/C][C]-0.2283[/C][C]0.410197[/C][/ROW]
[ROW][C]16[/C][C]-0.266801[/C][C]-1.8291[/C][C]0.036867[/C][/ROW]
[ROW][C]17[/C][C]0.000985[/C][C]0.0068[/C][C]0.49732[/C][/ROW]
[ROW][C]18[/C][C]-0.022807[/C][C]-0.1564[/C][C]0.438211[/C][/ROW]
[ROW][C]19[/C][C]-0.102[/C][C]-0.6993[/C][C]0.243914[/C][/ROW]
[ROW][C]20[/C][C]0.071126[/C][C]0.4876[/C][C]0.314046[/C][/ROW]
[ROW][C]21[/C][C]-0.002426[/C][C]-0.0166[/C][C]0.493399[/C][/ROW]
[ROW][C]22[/C][C]0.178182[/C][C]1.2216[/C][C]0.113984[/C][/ROW]
[ROW][C]23[/C][C]-0.14953[/C][C]-1.0251[/C][C]0.155275[/C][/ROW]
[ROW][C]24[/C][C]-0.078885[/C][C]-0.5408[/C][C]0.295597[/C][/ROW]
[ROW][C]25[/C][C]0.008124[/C][C]0.0557[/C][C]0.47791[/C][/ROW]
[ROW][C]26[/C][C]-0.029127[/C][C]-0.1997[/C][C]0.421294[/C][/ROW]
[ROW][C]27[/C][C]-0.09743[/C][C]-0.6679[/C][C]0.253718[/C][/ROW]
[ROW][C]28[/C][C]-0.026672[/C][C]-0.1829[/C][C]0.427848[/C][/ROW]
[ROW][C]29[/C][C]0.020126[/C][C]0.138[/C][C]0.445423[/C][/ROW]
[ROW][C]30[/C][C]0.006834[/C][C]0.0468[/C][C]0.481416[/C][/ROW]
[ROW][C]31[/C][C]0.088258[/C][C]0.6051[/C][C]0.274024[/C][/ROW]
[ROW][C]32[/C][C]0.06737[/C][C]0.4619[/C][C]0.323155[/C][/ROW]
[ROW][C]33[/C][C]-0.024835[/C][C]-0.1703[/C][C]0.432767[/C][/ROW]
[ROW][C]34[/C][C]-0.076942[/C][C]-0.5275[/C][C]0.300168[/C][/ROW]
[ROW][C]35[/C][C]-0.055945[/C][C]-0.3835[/C][C]0.351526[/C][/ROW]
[ROW][C]36[/C][C]0.017828[/C][C]0.1222[/C][C]0.451621[/C][/ROW]
[ROW][C]37[/C][C]0.023021[/C][C]0.1578[/C][C]0.437636[/C][/ROW]
[ROW][C]38[/C][C]0.004869[/C][C]0.0334[/C][C]0.486755[/C][/ROW]
[ROW][C]39[/C][C]-0.018699[/C][C]-0.1282[/C][C]0.44927[/C][/ROW]
[ROW][C]40[/C][C]-0.002952[/C][C]-0.0202[/C][C]0.491971[/C][/ROW]
[ROW][C]41[/C][C]-0.066116[/C][C]-0.4533[/C][C]0.326221[/C][/ROW]
[ROW][C]42[/C][C]0.052223[/C][C]0.358[/C][C]0.360964[/C][/ROW]
[ROW][C]43[/C][C]0.039042[/C][C]0.2677[/C][C]0.395067[/C][/ROW]
[ROW][C]44[/C][C]-0.005637[/C][C]-0.0386[/C][C]0.484668[/C][/ROW]
[ROW][C]45[/C][C]-0.010609[/C][C]-0.0727[/C][C]0.471165[/C][/ROW]
[ROW][C]46[/C][C]-0.052551[/C][C]-0.3603[/C][C]0.360129[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/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=30220&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30220&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
1-0.09187-0.62980.265929
20.1549181.06210.146817
3-0.12566-0.86150.196674
40.0186480.12780.449408
5-0.167771-1.15020.127944
6-0.046807-0.32090.374857
70.1393860.95560.172086
8-0.046977-0.32210.374418
90.1079420.740.231486
10-0.038826-0.26620.395634
110.4204612.88250.002965
12-0.198719-1.36230.089791
130.019140.13120.448081
14-0.098587-0.67590.251215
15-0.033303-0.22830.410197
16-0.266801-1.82910.036867
170.0009850.00680.49732
18-0.022807-0.15640.438211
19-0.102-0.69930.243914
200.0711260.48760.314046
21-0.002426-0.01660.493399
220.1781821.22160.113984
23-0.14953-1.02510.155275
24-0.078885-0.54080.295597
250.0081240.05570.47791
26-0.029127-0.19970.421294
27-0.09743-0.66790.253718
28-0.026672-0.18290.427848
290.0201260.1380.445423
300.0068340.04680.481416
310.0882580.60510.274024
320.067370.46190.323155
33-0.024835-0.17030.432767
34-0.076942-0.52750.300168
35-0.055945-0.38350.351526
360.0178280.12220.451621
370.0230210.15780.437636
380.0048690.03340.486755
39-0.018699-0.12820.44927
40-0.002952-0.02020.491971
41-0.066116-0.45330.326221
420.0522230.3580.360964
430.0390420.26770.395067
44-0.005637-0.03860.484668
45-0.010609-0.07270.471165
46-0.052551-0.36030.360129
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.09187-0.62980.265929
20.1477241.01270.158183
3-0.103058-0.70650.241673
4-0.021238-0.14560.442429
5-0.140129-0.96070.170815
6-0.084454-0.5790.282681
70.1829081.2540.10803
8-0.043385-0.29740.383723
90.0476660.32680.372643
10-0.009624-0.0660.473838
110.4050782.77710.003927
12-0.111366-0.76350.224495
13-0.135173-0.92670.179409
140.0137920.09460.462536
15-0.029659-0.20330.419877
16-0.227957-1.56280.062405
17-0.051249-0.35130.363449
18-0.142821-0.97910.166264
19-0.132113-0.90570.184851
200.0264520.18130.428439
21-0.020094-0.13780.44551
22-0.018172-0.12460.450695
230.0502030.34420.366126
24-0.135441-0.92850.178937
250.1355250.92910.178789
260.0947050.64930.259663
270.0438150.30040.382605
28-0.133361-0.91430.182619
290.0158020.10830.457095
300.1523451.04440.150816
310.0092680.06350.474802
32-0.068446-0.46920.320533
33-0.192124-1.31710.09709
34-0.078199-0.53610.297207
350.0735270.50410.308281
36-0.097312-0.66710.253974
37-0.060038-0.41160.341252
380.0272960.18710.426182
39-0.025463-0.17460.431086
40-0.062753-0.43020.334503
41-0.045227-0.31010.378944
420.0180890.1240.450917
430.0496680.34050.367497
440.0537810.36870.357002
450.0167680.1150.454486
46-0.018793-0.12880.449018
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.09187 & -0.6298 & 0.265929 \tabularnewline
2 & 0.147724 & 1.0127 & 0.158183 \tabularnewline
3 & -0.103058 & -0.7065 & 0.241673 \tabularnewline
4 & -0.021238 & -0.1456 & 0.442429 \tabularnewline
5 & -0.140129 & -0.9607 & 0.170815 \tabularnewline
6 & -0.084454 & -0.579 & 0.282681 \tabularnewline
7 & 0.182908 & 1.254 & 0.10803 \tabularnewline
8 & -0.043385 & -0.2974 & 0.383723 \tabularnewline
9 & 0.047666 & 0.3268 & 0.372643 \tabularnewline
10 & -0.009624 & -0.066 & 0.473838 \tabularnewline
11 & 0.405078 & 2.7771 & 0.003927 \tabularnewline
12 & -0.111366 & -0.7635 & 0.224495 \tabularnewline
13 & -0.135173 & -0.9267 & 0.179409 \tabularnewline
14 & 0.013792 & 0.0946 & 0.462536 \tabularnewline
15 & -0.029659 & -0.2033 & 0.419877 \tabularnewline
16 & -0.227957 & -1.5628 & 0.062405 \tabularnewline
17 & -0.051249 & -0.3513 & 0.363449 \tabularnewline
18 & -0.142821 & -0.9791 & 0.166264 \tabularnewline
19 & -0.132113 & -0.9057 & 0.184851 \tabularnewline
20 & 0.026452 & 0.1813 & 0.428439 \tabularnewline
21 & -0.020094 & -0.1378 & 0.44551 \tabularnewline
22 & -0.018172 & -0.1246 & 0.450695 \tabularnewline
23 & 0.050203 & 0.3442 & 0.366126 \tabularnewline
24 & -0.135441 & -0.9285 & 0.178937 \tabularnewline
25 & 0.135525 & 0.9291 & 0.178789 \tabularnewline
26 & 0.094705 & 0.6493 & 0.259663 \tabularnewline
27 & 0.043815 & 0.3004 & 0.382605 \tabularnewline
28 & -0.133361 & -0.9143 & 0.182619 \tabularnewline
29 & 0.015802 & 0.1083 & 0.457095 \tabularnewline
30 & 0.152345 & 1.0444 & 0.150816 \tabularnewline
31 & 0.009268 & 0.0635 & 0.474802 \tabularnewline
32 & -0.068446 & -0.4692 & 0.320533 \tabularnewline
33 & -0.192124 & -1.3171 & 0.09709 \tabularnewline
34 & -0.078199 & -0.5361 & 0.297207 \tabularnewline
35 & 0.073527 & 0.5041 & 0.308281 \tabularnewline
36 & -0.097312 & -0.6671 & 0.253974 \tabularnewline
37 & -0.060038 & -0.4116 & 0.341252 \tabularnewline
38 & 0.027296 & 0.1871 & 0.426182 \tabularnewline
39 & -0.025463 & -0.1746 & 0.431086 \tabularnewline
40 & -0.062753 & -0.4302 & 0.334503 \tabularnewline
41 & -0.045227 & -0.3101 & 0.378944 \tabularnewline
42 & 0.018089 & 0.124 & 0.450917 \tabularnewline
43 & 0.049668 & 0.3405 & 0.367497 \tabularnewline
44 & 0.053781 & 0.3687 & 0.357002 \tabularnewline
45 & 0.016768 & 0.115 & 0.454486 \tabularnewline
46 & -0.018793 & -0.1288 & 0.449018 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \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=30220&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]-0.09187[/C][C]-0.6298[/C][C]0.265929[/C][/ROW]
[ROW][C]2[/C][C]0.147724[/C][C]1.0127[/C][C]0.158183[/C][/ROW]
[ROW][C]3[/C][C]-0.103058[/C][C]-0.7065[/C][C]0.241673[/C][/ROW]
[ROW][C]4[/C][C]-0.021238[/C][C]-0.1456[/C][C]0.442429[/C][/ROW]
[ROW][C]5[/C][C]-0.140129[/C][C]-0.9607[/C][C]0.170815[/C][/ROW]
[ROW][C]6[/C][C]-0.084454[/C][C]-0.579[/C][C]0.282681[/C][/ROW]
[ROW][C]7[/C][C]0.182908[/C][C]1.254[/C][C]0.10803[/C][/ROW]
[ROW][C]8[/C][C]-0.043385[/C][C]-0.2974[/C][C]0.383723[/C][/ROW]
[ROW][C]9[/C][C]0.047666[/C][C]0.3268[/C][C]0.372643[/C][/ROW]
[ROW][C]10[/C][C]-0.009624[/C][C]-0.066[/C][C]0.473838[/C][/ROW]
[ROW][C]11[/C][C]0.405078[/C][C]2.7771[/C][C]0.003927[/C][/ROW]
[ROW][C]12[/C][C]-0.111366[/C][C]-0.7635[/C][C]0.224495[/C][/ROW]
[ROW][C]13[/C][C]-0.135173[/C][C]-0.9267[/C][C]0.179409[/C][/ROW]
[ROW][C]14[/C][C]0.013792[/C][C]0.0946[/C][C]0.462536[/C][/ROW]
[ROW][C]15[/C][C]-0.029659[/C][C]-0.2033[/C][C]0.419877[/C][/ROW]
[ROW][C]16[/C][C]-0.227957[/C][C]-1.5628[/C][C]0.062405[/C][/ROW]
[ROW][C]17[/C][C]-0.051249[/C][C]-0.3513[/C][C]0.363449[/C][/ROW]
[ROW][C]18[/C][C]-0.142821[/C][C]-0.9791[/C][C]0.166264[/C][/ROW]
[ROW][C]19[/C][C]-0.132113[/C][C]-0.9057[/C][C]0.184851[/C][/ROW]
[ROW][C]20[/C][C]0.026452[/C][C]0.1813[/C][C]0.428439[/C][/ROW]
[ROW][C]21[/C][C]-0.020094[/C][C]-0.1378[/C][C]0.44551[/C][/ROW]
[ROW][C]22[/C][C]-0.018172[/C][C]-0.1246[/C][C]0.450695[/C][/ROW]
[ROW][C]23[/C][C]0.050203[/C][C]0.3442[/C][C]0.366126[/C][/ROW]
[ROW][C]24[/C][C]-0.135441[/C][C]-0.9285[/C][C]0.178937[/C][/ROW]
[ROW][C]25[/C][C]0.135525[/C][C]0.9291[/C][C]0.178789[/C][/ROW]
[ROW][C]26[/C][C]0.094705[/C][C]0.6493[/C][C]0.259663[/C][/ROW]
[ROW][C]27[/C][C]0.043815[/C][C]0.3004[/C][C]0.382605[/C][/ROW]
[ROW][C]28[/C][C]-0.133361[/C][C]-0.9143[/C][C]0.182619[/C][/ROW]
[ROW][C]29[/C][C]0.015802[/C][C]0.1083[/C][C]0.457095[/C][/ROW]
[ROW][C]30[/C][C]0.152345[/C][C]1.0444[/C][C]0.150816[/C][/ROW]
[ROW][C]31[/C][C]0.009268[/C][C]0.0635[/C][C]0.474802[/C][/ROW]
[ROW][C]32[/C][C]-0.068446[/C][C]-0.4692[/C][C]0.320533[/C][/ROW]
[ROW][C]33[/C][C]-0.192124[/C][C]-1.3171[/C][C]0.09709[/C][/ROW]
[ROW][C]34[/C][C]-0.078199[/C][C]-0.5361[/C][C]0.297207[/C][/ROW]
[ROW][C]35[/C][C]0.073527[/C][C]0.5041[/C][C]0.308281[/C][/ROW]
[ROW][C]36[/C][C]-0.097312[/C][C]-0.6671[/C][C]0.253974[/C][/ROW]
[ROW][C]37[/C][C]-0.060038[/C][C]-0.4116[/C][C]0.341252[/C][/ROW]
[ROW][C]38[/C][C]0.027296[/C][C]0.1871[/C][C]0.426182[/C][/ROW]
[ROW][C]39[/C][C]-0.025463[/C][C]-0.1746[/C][C]0.431086[/C][/ROW]
[ROW][C]40[/C][C]-0.062753[/C][C]-0.4302[/C][C]0.334503[/C][/ROW]
[ROW][C]41[/C][C]-0.045227[/C][C]-0.3101[/C][C]0.378944[/C][/ROW]
[ROW][C]42[/C][C]0.018089[/C][C]0.124[/C][C]0.450917[/C][/ROW]
[ROW][C]43[/C][C]0.049668[/C][C]0.3405[/C][C]0.367497[/C][/ROW]
[ROW][C]44[/C][C]0.053781[/C][C]0.3687[/C][C]0.357002[/C][/ROW]
[ROW][C]45[/C][C]0.016768[/C][C]0.115[/C][C]0.454486[/C][/ROW]
[ROW][C]46[/C][C]-0.018793[/C][C]-0.1288[/C][C]0.449018[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/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=30220&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30220&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
1-0.09187-0.62980.265929
20.1477241.01270.158183
3-0.103058-0.70650.241673
4-0.021238-0.14560.442429
5-0.140129-0.96070.170815
6-0.084454-0.5790.282681
70.1829081.2540.10803
8-0.043385-0.29740.383723
90.0476660.32680.372643
10-0.009624-0.0660.473838
110.4050782.77710.003927
12-0.111366-0.76350.224495
13-0.135173-0.92670.179409
140.0137920.09460.462536
15-0.029659-0.20330.419877
16-0.227957-1.56280.062405
17-0.051249-0.35130.363449
18-0.142821-0.97910.166264
19-0.132113-0.90570.184851
200.0264520.18130.428439
21-0.020094-0.13780.44551
22-0.018172-0.12460.450695
230.0502030.34420.366126
24-0.135441-0.92850.178937
250.1355250.92910.178789
260.0947050.64930.259663
270.0438150.30040.382605
28-0.133361-0.91430.182619
290.0158020.10830.457095
300.1523451.04440.150816
310.0092680.06350.474802
32-0.068446-0.46920.320533
33-0.192124-1.31710.09709
34-0.078199-0.53610.297207
350.0735270.50410.308281
36-0.097312-0.66710.253974
37-0.060038-0.41160.341252
380.0272960.18710.426182
39-0.025463-0.17460.431086
40-0.062753-0.43020.334503
41-0.045227-0.31010.378944
420.0180890.1240.450917
430.0496680.34050.367497
440.0537810.36870.357002
450.0167680.1150.454486
46-0.018793-0.12880.449018
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; 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')