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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 04:14:51 -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/t1229685345pnwnc41tm3t5e02.htm/, Retrieved Wed, 15 May 2024 07:33:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35057, Retrieved Wed, 15 May 2024 07:33:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr d cons] [2008-12-19 11:14:51] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
72.5
72.0
98.8
75.2
81.2
88.0
54.6
68.6
101.5
93.4
84.5
91.4
64.5
64.5
117.3
73.5
79.7
102.6
57.9
73.1
102.4
82.3
89.1
84.7
81.4
67.5
113.9
83.8
73.9
103.9
67.9
62.5
125.4
79.1
106.3
96.2
94.3
85.6
117.4
88.5
124.2
119.3
76.8
70.6
122.1
109.5
119.9
102.3
79.6
78.2
103.6
77.8
99.1
105.7
84.1
88.7
108.0
98.1
101.0
82.0




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=35057&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=35057&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35057&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
10.1193550.82690.206188
20.1701141.17860.122186
30.1891181.31020.098174
4-0.126513-0.87650.19256
50.1895351.31310.09769
60.0292480.20260.420137
7-0.040028-0.27730.391363
80.1326130.91880.181405
9-0.153691-1.06480.146146
100.2388261.65460.052262
11-0.151779-1.05160.149134
12-0.218278-1.51230.068511
130.0382120.26470.396172
14-0.319618-2.21440.015793
150.0420590.29140.386003
16-0.03483-0.24130.405172
17-0.17198-1.19150.119656
180.0515750.35730.361208
19-0.100094-0.69350.245678
20-0.001918-0.01330.494727
210.0147550.10220.459501
22-0.14585-1.01050.158667
23-0.008971-0.06220.47535
24-0.224197-1.55330.063462
25-0.027935-0.19350.423678
260.0081460.05640.477615
27-0.101118-0.70060.243478
28-0.004943-0.03420.486411
29-0.082185-0.56940.285871
30-0.015053-0.10430.458688
310.0581210.40270.344489
32-0.101218-0.70130.243263
33-0.081112-0.5620.28838
34-0.115971-0.80350.212831
35-0.017103-0.11850.453085
360.1200220.83150.204894
370.089220.61810.269704
380.0871160.60360.27449
390.0221680.15360.439289
400.0207940.14410.443025
410.0095350.06610.473801
42-0.067601-0.46840.320827
43-0.009985-0.06920.472568
440.0447290.30990.378992
450.0310350.2150.415331
460.0711190.49270.312226
470.0445520.30870.379457
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 & 0.119355 & 0.8269 & 0.206188 \tabularnewline
2 & 0.170114 & 1.1786 & 0.122186 \tabularnewline
3 & 0.189118 & 1.3102 & 0.098174 \tabularnewline
4 & -0.126513 & -0.8765 & 0.19256 \tabularnewline
5 & 0.189535 & 1.3131 & 0.09769 \tabularnewline
6 & 0.029248 & 0.2026 & 0.420137 \tabularnewline
7 & -0.040028 & -0.2773 & 0.391363 \tabularnewline
8 & 0.132613 & 0.9188 & 0.181405 \tabularnewline
9 & -0.153691 & -1.0648 & 0.146146 \tabularnewline
10 & 0.238826 & 1.6546 & 0.052262 \tabularnewline
11 & -0.151779 & -1.0516 & 0.149134 \tabularnewline
12 & -0.218278 & -1.5123 & 0.068511 \tabularnewline
13 & 0.038212 & 0.2647 & 0.396172 \tabularnewline
14 & -0.319618 & -2.2144 & 0.015793 \tabularnewline
15 & 0.042059 & 0.2914 & 0.386003 \tabularnewline
16 & -0.03483 & -0.2413 & 0.405172 \tabularnewline
17 & -0.17198 & -1.1915 & 0.119656 \tabularnewline
18 & 0.051575 & 0.3573 & 0.361208 \tabularnewline
19 & -0.100094 & -0.6935 & 0.245678 \tabularnewline
20 & -0.001918 & -0.0133 & 0.494727 \tabularnewline
21 & 0.014755 & 0.1022 & 0.459501 \tabularnewline
22 & -0.14585 & -1.0105 & 0.158667 \tabularnewline
23 & -0.008971 & -0.0622 & 0.47535 \tabularnewline
24 & -0.224197 & -1.5533 & 0.063462 \tabularnewline
25 & -0.027935 & -0.1935 & 0.423678 \tabularnewline
26 & 0.008146 & 0.0564 & 0.477615 \tabularnewline
27 & -0.101118 & -0.7006 & 0.243478 \tabularnewline
28 & -0.004943 & -0.0342 & 0.486411 \tabularnewline
29 & -0.082185 & -0.5694 & 0.285871 \tabularnewline
30 & -0.015053 & -0.1043 & 0.458688 \tabularnewline
31 & 0.058121 & 0.4027 & 0.344489 \tabularnewline
32 & -0.101218 & -0.7013 & 0.243263 \tabularnewline
33 & -0.081112 & -0.562 & 0.28838 \tabularnewline
34 & -0.115971 & -0.8035 & 0.212831 \tabularnewline
35 & -0.017103 & -0.1185 & 0.453085 \tabularnewline
36 & 0.120022 & 0.8315 & 0.204894 \tabularnewline
37 & 0.08922 & 0.6181 & 0.269704 \tabularnewline
38 & 0.087116 & 0.6036 & 0.27449 \tabularnewline
39 & 0.022168 & 0.1536 & 0.439289 \tabularnewline
40 & 0.020794 & 0.1441 & 0.443025 \tabularnewline
41 & 0.009535 & 0.0661 & 0.473801 \tabularnewline
42 & -0.067601 & -0.4684 & 0.320827 \tabularnewline
43 & -0.009985 & -0.0692 & 0.472568 \tabularnewline
44 & 0.044729 & 0.3099 & 0.378992 \tabularnewline
45 & 0.031035 & 0.215 & 0.415331 \tabularnewline
46 & 0.071119 & 0.4927 & 0.312226 \tabularnewline
47 & 0.044552 & 0.3087 & 0.379457 \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=35057&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]0.119355[/C][C]0.8269[/C][C]0.206188[/C][/ROW]
[ROW][C]2[/C][C]0.170114[/C][C]1.1786[/C][C]0.122186[/C][/ROW]
[ROW][C]3[/C][C]0.189118[/C][C]1.3102[/C][C]0.098174[/C][/ROW]
[ROW][C]4[/C][C]-0.126513[/C][C]-0.8765[/C][C]0.19256[/C][/ROW]
[ROW][C]5[/C][C]0.189535[/C][C]1.3131[/C][C]0.09769[/C][/ROW]
[ROW][C]6[/C][C]0.029248[/C][C]0.2026[/C][C]0.420137[/C][/ROW]
[ROW][C]7[/C][C]-0.040028[/C][C]-0.2773[/C][C]0.391363[/C][/ROW]
[ROW][C]8[/C][C]0.132613[/C][C]0.9188[/C][C]0.181405[/C][/ROW]
[ROW][C]9[/C][C]-0.153691[/C][C]-1.0648[/C][C]0.146146[/C][/ROW]
[ROW][C]10[/C][C]0.238826[/C][C]1.6546[/C][C]0.052262[/C][/ROW]
[ROW][C]11[/C][C]-0.151779[/C][C]-1.0516[/C][C]0.149134[/C][/ROW]
[ROW][C]12[/C][C]-0.218278[/C][C]-1.5123[/C][C]0.068511[/C][/ROW]
[ROW][C]13[/C][C]0.038212[/C][C]0.2647[/C][C]0.396172[/C][/ROW]
[ROW][C]14[/C][C]-0.319618[/C][C]-2.2144[/C][C]0.015793[/C][/ROW]
[ROW][C]15[/C][C]0.042059[/C][C]0.2914[/C][C]0.386003[/C][/ROW]
[ROW][C]16[/C][C]-0.03483[/C][C]-0.2413[/C][C]0.405172[/C][/ROW]
[ROW][C]17[/C][C]-0.17198[/C][C]-1.1915[/C][C]0.119656[/C][/ROW]
[ROW][C]18[/C][C]0.051575[/C][C]0.3573[/C][C]0.361208[/C][/ROW]
[ROW][C]19[/C][C]-0.100094[/C][C]-0.6935[/C][C]0.245678[/C][/ROW]
[ROW][C]20[/C][C]-0.001918[/C][C]-0.0133[/C][C]0.494727[/C][/ROW]
[ROW][C]21[/C][C]0.014755[/C][C]0.1022[/C][C]0.459501[/C][/ROW]
[ROW][C]22[/C][C]-0.14585[/C][C]-1.0105[/C][C]0.158667[/C][/ROW]
[ROW][C]23[/C][C]-0.008971[/C][C]-0.0622[/C][C]0.47535[/C][/ROW]
[ROW][C]24[/C][C]-0.224197[/C][C]-1.5533[/C][C]0.063462[/C][/ROW]
[ROW][C]25[/C][C]-0.027935[/C][C]-0.1935[/C][C]0.423678[/C][/ROW]
[ROW][C]26[/C][C]0.008146[/C][C]0.0564[/C][C]0.477615[/C][/ROW]
[ROW][C]27[/C][C]-0.101118[/C][C]-0.7006[/C][C]0.243478[/C][/ROW]
[ROW][C]28[/C][C]-0.004943[/C][C]-0.0342[/C][C]0.486411[/C][/ROW]
[ROW][C]29[/C][C]-0.082185[/C][C]-0.5694[/C][C]0.285871[/C][/ROW]
[ROW][C]30[/C][C]-0.015053[/C][C]-0.1043[/C][C]0.458688[/C][/ROW]
[ROW][C]31[/C][C]0.058121[/C][C]0.4027[/C][C]0.344489[/C][/ROW]
[ROW][C]32[/C][C]-0.101218[/C][C]-0.7013[/C][C]0.243263[/C][/ROW]
[ROW][C]33[/C][C]-0.081112[/C][C]-0.562[/C][C]0.28838[/C][/ROW]
[ROW][C]34[/C][C]-0.115971[/C][C]-0.8035[/C][C]0.212831[/C][/ROW]
[ROW][C]35[/C][C]-0.017103[/C][C]-0.1185[/C][C]0.453085[/C][/ROW]
[ROW][C]36[/C][C]0.120022[/C][C]0.8315[/C][C]0.204894[/C][/ROW]
[ROW][C]37[/C][C]0.08922[/C][C]0.6181[/C][C]0.269704[/C][/ROW]
[ROW][C]38[/C][C]0.087116[/C][C]0.6036[/C][C]0.27449[/C][/ROW]
[ROW][C]39[/C][C]0.022168[/C][C]0.1536[/C][C]0.439289[/C][/ROW]
[ROW][C]40[/C][C]0.020794[/C][C]0.1441[/C][C]0.443025[/C][/ROW]
[ROW][C]41[/C][C]0.009535[/C][C]0.0661[/C][C]0.473801[/C][/ROW]
[ROW][C]42[/C][C]-0.067601[/C][C]-0.4684[/C][C]0.320827[/C][/ROW]
[ROW][C]43[/C][C]-0.009985[/C][C]-0.0692[/C][C]0.472568[/C][/ROW]
[ROW][C]44[/C][C]0.044729[/C][C]0.3099[/C][C]0.378992[/C][/ROW]
[ROW][C]45[/C][C]0.031035[/C][C]0.215[/C][C]0.415331[/C][/ROW]
[ROW][C]46[/C][C]0.071119[/C][C]0.4927[/C][C]0.312226[/C][/ROW]
[ROW][C]47[/C][C]0.044552[/C][C]0.3087[/C][C]0.379457[/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=35057&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35057&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
10.1193550.82690.206188
20.1701141.17860.122186
30.1891181.31020.098174
4-0.126513-0.87650.19256
50.1895351.31310.09769
60.0292480.20260.420137
7-0.040028-0.27730.391363
80.1326130.91880.181405
9-0.153691-1.06480.146146
100.2388261.65460.052262
11-0.151779-1.05160.149134
12-0.218278-1.51230.068511
130.0382120.26470.396172
14-0.319618-2.21440.015793
150.0420590.29140.386003
16-0.03483-0.24130.405172
17-0.17198-1.19150.119656
180.0515750.35730.361208
19-0.100094-0.69350.245678
20-0.001918-0.01330.494727
210.0147550.10220.459501
22-0.14585-1.01050.158667
23-0.008971-0.06220.47535
24-0.224197-1.55330.063462
25-0.027935-0.19350.423678
260.0081460.05640.477615
27-0.101118-0.70060.243478
28-0.004943-0.03420.486411
29-0.082185-0.56940.285871
30-0.015053-0.10430.458688
310.0581210.40270.344489
32-0.101218-0.70130.243263
33-0.081112-0.5620.28838
34-0.115971-0.80350.212831
35-0.017103-0.11850.453085
360.1200220.83150.204894
370.089220.61810.269704
380.0871160.60360.27449
390.0221680.15360.439289
400.0207940.14410.443025
410.0095350.06610.473801
42-0.067601-0.46840.320827
43-0.009985-0.06920.472568
440.0447290.30990.378992
450.0310350.2150.415331
460.0711190.49270.312226
470.0445520.30870.379457
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1193550.82690.206188
20.1581211.09550.139383
30.159351.1040.137547
4-0.196375-1.36050.090009
50.1828611.26690.105652
60.0086930.06020.476114
7-0.050134-0.34730.364928
80.0577730.40030.345369
9-0.125178-0.86730.195058
100.2772031.92050.030372
11-0.305398-2.11590.019785
12-0.145678-1.00930.15895
130.019460.13480.446659
14-0.151169-1.04730.150096
150.1016670.70440.242304
16-0.108833-0.7540.227262
170.0670480.46450.322186
18-0.100081-0.69340.245707
190.1155180.80030.21373
20-0.080688-0.5590.289374
210.0310490.21510.415294
220.0080740.05590.477812
23-0.22032-1.52640.066734
24-0.037147-0.25740.399
25-0.102129-0.70760.241317
260.0597360.41390.340408
27-0.041388-0.28670.387772
28-0.130187-0.9020.185791
290.0163850.11350.455047
300.0258850.17930.429214
310.0584280.40480.34371
32-0.160515-1.11210.135821
33-0.076186-0.52780.300024
34-0.051426-0.35630.361592
35-0.006067-0.0420.483324
360.0977190.6770.250823
370.0234530.16250.435803
380.0337290.23370.408114
39-0.058273-0.40370.344104
40-0.064384-0.44610.328777
41-0.081209-0.56260.288153
42-0.103994-0.72050.237359
430.0632560.43830.331584
440.0286150.19820.421844
45-0.042191-0.29230.385656
46-0.087873-0.60880.272763
47-0.008037-0.05570.477912
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 & 0.119355 & 0.8269 & 0.206188 \tabularnewline
2 & 0.158121 & 1.0955 & 0.139383 \tabularnewline
3 & 0.15935 & 1.104 & 0.137547 \tabularnewline
4 & -0.196375 & -1.3605 & 0.090009 \tabularnewline
5 & 0.182861 & 1.2669 & 0.105652 \tabularnewline
6 & 0.008693 & 0.0602 & 0.476114 \tabularnewline
7 & -0.050134 & -0.3473 & 0.364928 \tabularnewline
8 & 0.057773 & 0.4003 & 0.345369 \tabularnewline
9 & -0.125178 & -0.8673 & 0.195058 \tabularnewline
10 & 0.277203 & 1.9205 & 0.030372 \tabularnewline
11 & -0.305398 & -2.1159 & 0.019785 \tabularnewline
12 & -0.145678 & -1.0093 & 0.15895 \tabularnewline
13 & 0.01946 & 0.1348 & 0.446659 \tabularnewline
14 & -0.151169 & -1.0473 & 0.150096 \tabularnewline
15 & 0.101667 & 0.7044 & 0.242304 \tabularnewline
16 & -0.108833 & -0.754 & 0.227262 \tabularnewline
17 & 0.067048 & 0.4645 & 0.322186 \tabularnewline
18 & -0.100081 & -0.6934 & 0.245707 \tabularnewline
19 & 0.115518 & 0.8003 & 0.21373 \tabularnewline
20 & -0.080688 & -0.559 & 0.289374 \tabularnewline
21 & 0.031049 & 0.2151 & 0.415294 \tabularnewline
22 & 0.008074 & 0.0559 & 0.477812 \tabularnewline
23 & -0.22032 & -1.5264 & 0.066734 \tabularnewline
24 & -0.037147 & -0.2574 & 0.399 \tabularnewline
25 & -0.102129 & -0.7076 & 0.241317 \tabularnewline
26 & 0.059736 & 0.4139 & 0.340408 \tabularnewline
27 & -0.041388 & -0.2867 & 0.387772 \tabularnewline
28 & -0.130187 & -0.902 & 0.185791 \tabularnewline
29 & 0.016385 & 0.1135 & 0.455047 \tabularnewline
30 & 0.025885 & 0.1793 & 0.429214 \tabularnewline
31 & 0.058428 & 0.4048 & 0.34371 \tabularnewline
32 & -0.160515 & -1.1121 & 0.135821 \tabularnewline
33 & -0.076186 & -0.5278 & 0.300024 \tabularnewline
34 & -0.051426 & -0.3563 & 0.361592 \tabularnewline
35 & -0.006067 & -0.042 & 0.483324 \tabularnewline
36 & 0.097719 & 0.677 & 0.250823 \tabularnewline
37 & 0.023453 & 0.1625 & 0.435803 \tabularnewline
38 & 0.033729 & 0.2337 & 0.408114 \tabularnewline
39 & -0.058273 & -0.4037 & 0.344104 \tabularnewline
40 & -0.064384 & -0.4461 & 0.328777 \tabularnewline
41 & -0.081209 & -0.5626 & 0.288153 \tabularnewline
42 & -0.103994 & -0.7205 & 0.237359 \tabularnewline
43 & 0.063256 & 0.4383 & 0.331584 \tabularnewline
44 & 0.028615 & 0.1982 & 0.421844 \tabularnewline
45 & -0.042191 & -0.2923 & 0.385656 \tabularnewline
46 & -0.087873 & -0.6088 & 0.272763 \tabularnewline
47 & -0.008037 & -0.0557 & 0.477912 \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=35057&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]0.119355[/C][C]0.8269[/C][C]0.206188[/C][/ROW]
[ROW][C]2[/C][C]0.158121[/C][C]1.0955[/C][C]0.139383[/C][/ROW]
[ROW][C]3[/C][C]0.15935[/C][C]1.104[/C][C]0.137547[/C][/ROW]
[ROW][C]4[/C][C]-0.196375[/C][C]-1.3605[/C][C]0.090009[/C][/ROW]
[ROW][C]5[/C][C]0.182861[/C][C]1.2669[/C][C]0.105652[/C][/ROW]
[ROW][C]6[/C][C]0.008693[/C][C]0.0602[/C][C]0.476114[/C][/ROW]
[ROW][C]7[/C][C]-0.050134[/C][C]-0.3473[/C][C]0.364928[/C][/ROW]
[ROW][C]8[/C][C]0.057773[/C][C]0.4003[/C][C]0.345369[/C][/ROW]
[ROW][C]9[/C][C]-0.125178[/C][C]-0.8673[/C][C]0.195058[/C][/ROW]
[ROW][C]10[/C][C]0.277203[/C][C]1.9205[/C][C]0.030372[/C][/ROW]
[ROW][C]11[/C][C]-0.305398[/C][C]-2.1159[/C][C]0.019785[/C][/ROW]
[ROW][C]12[/C][C]-0.145678[/C][C]-1.0093[/C][C]0.15895[/C][/ROW]
[ROW][C]13[/C][C]0.01946[/C][C]0.1348[/C][C]0.446659[/C][/ROW]
[ROW][C]14[/C][C]-0.151169[/C][C]-1.0473[/C][C]0.150096[/C][/ROW]
[ROW][C]15[/C][C]0.101667[/C][C]0.7044[/C][C]0.242304[/C][/ROW]
[ROW][C]16[/C][C]-0.108833[/C][C]-0.754[/C][C]0.227262[/C][/ROW]
[ROW][C]17[/C][C]0.067048[/C][C]0.4645[/C][C]0.322186[/C][/ROW]
[ROW][C]18[/C][C]-0.100081[/C][C]-0.6934[/C][C]0.245707[/C][/ROW]
[ROW][C]19[/C][C]0.115518[/C][C]0.8003[/C][C]0.21373[/C][/ROW]
[ROW][C]20[/C][C]-0.080688[/C][C]-0.559[/C][C]0.289374[/C][/ROW]
[ROW][C]21[/C][C]0.031049[/C][C]0.2151[/C][C]0.415294[/C][/ROW]
[ROW][C]22[/C][C]0.008074[/C][C]0.0559[/C][C]0.477812[/C][/ROW]
[ROW][C]23[/C][C]-0.22032[/C][C]-1.5264[/C][C]0.066734[/C][/ROW]
[ROW][C]24[/C][C]-0.037147[/C][C]-0.2574[/C][C]0.399[/C][/ROW]
[ROW][C]25[/C][C]-0.102129[/C][C]-0.7076[/C][C]0.241317[/C][/ROW]
[ROW][C]26[/C][C]0.059736[/C][C]0.4139[/C][C]0.340408[/C][/ROW]
[ROW][C]27[/C][C]-0.041388[/C][C]-0.2867[/C][C]0.387772[/C][/ROW]
[ROW][C]28[/C][C]-0.130187[/C][C]-0.902[/C][C]0.185791[/C][/ROW]
[ROW][C]29[/C][C]0.016385[/C][C]0.1135[/C][C]0.455047[/C][/ROW]
[ROW][C]30[/C][C]0.025885[/C][C]0.1793[/C][C]0.429214[/C][/ROW]
[ROW][C]31[/C][C]0.058428[/C][C]0.4048[/C][C]0.34371[/C][/ROW]
[ROW][C]32[/C][C]-0.160515[/C][C]-1.1121[/C][C]0.135821[/C][/ROW]
[ROW][C]33[/C][C]-0.076186[/C][C]-0.5278[/C][C]0.300024[/C][/ROW]
[ROW][C]34[/C][C]-0.051426[/C][C]-0.3563[/C][C]0.361592[/C][/ROW]
[ROW][C]35[/C][C]-0.006067[/C][C]-0.042[/C][C]0.483324[/C][/ROW]
[ROW][C]36[/C][C]0.097719[/C][C]0.677[/C][C]0.250823[/C][/ROW]
[ROW][C]37[/C][C]0.023453[/C][C]0.1625[/C][C]0.435803[/C][/ROW]
[ROW][C]38[/C][C]0.033729[/C][C]0.2337[/C][C]0.408114[/C][/ROW]
[ROW][C]39[/C][C]-0.058273[/C][C]-0.4037[/C][C]0.344104[/C][/ROW]
[ROW][C]40[/C][C]-0.064384[/C][C]-0.4461[/C][C]0.328777[/C][/ROW]
[ROW][C]41[/C][C]-0.081209[/C][C]-0.5626[/C][C]0.288153[/C][/ROW]
[ROW][C]42[/C][C]-0.103994[/C][C]-0.7205[/C][C]0.237359[/C][/ROW]
[ROW][C]43[/C][C]0.063256[/C][C]0.4383[/C][C]0.331584[/C][/ROW]
[ROW][C]44[/C][C]0.028615[/C][C]0.1982[/C][C]0.421844[/C][/ROW]
[ROW][C]45[/C][C]-0.042191[/C][C]-0.2923[/C][C]0.385656[/C][/ROW]
[ROW][C]46[/C][C]-0.087873[/C][C]-0.6088[/C][C]0.272763[/C][/ROW]
[ROW][C]47[/C][C]-0.008037[/C][C]-0.0557[/C][C]0.477912[/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=35057&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35057&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
10.1193550.82690.206188
20.1581211.09550.139383
30.159351.1040.137547
4-0.196375-1.36050.090009
50.1828611.26690.105652
60.0086930.06020.476114
7-0.050134-0.34730.364928
80.0577730.40030.345369
9-0.125178-0.86730.195058
100.2772031.92050.030372
11-0.305398-2.11590.019785
12-0.145678-1.00930.15895
130.019460.13480.446659
14-0.151169-1.04730.150096
150.1016670.70440.242304
16-0.108833-0.7540.227262
170.0670480.46450.322186
18-0.100081-0.69340.245707
190.1155180.80030.21373
20-0.080688-0.5590.289374
210.0310490.21510.415294
220.0080740.05590.477812
23-0.22032-1.52640.066734
24-0.037147-0.25740.399
25-0.102129-0.70760.241317
260.0597360.41390.340408
27-0.041388-0.28670.387772
28-0.130187-0.9020.185791
290.0163850.11350.455047
300.0258850.17930.429214
310.0584280.40480.34371
32-0.160515-1.11210.135821
33-0.076186-0.52780.300024
34-0.051426-0.35630.361592
35-0.006067-0.0420.483324
360.0977190.6770.250823
370.0234530.16250.435803
380.0337290.23370.408114
39-0.058273-0.40370.344104
40-0.064384-0.44610.328777
41-0.081209-0.56260.288153
42-0.103994-0.72050.237359
430.0632560.43830.331584
440.0286150.19820.421844
45-0.042191-0.29230.385656
46-0.087873-0.60880.272763
47-0.008037-0.05570.477912
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -1.6 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -1.6 ; 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')