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of Irreproducible Research!

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 computationTue, 09 Dec 2008 14:53:51 -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/09/t1228859687qi96qv89mmituvl.htm/, Retrieved Sun, 19 May 2024 10:10:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31819, Retrieved Sun, 19 May 2024 10:10:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(P)ACF 2] [2008-12-09 21:53:51] [0bb3b56b7083c5944c3818446f605d68] [Current]
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Dataseries X:
100.6
99.2
108.4
103.0
99.8
115.0
90.8
95.9
114.4
108.2
112.6
109.1
105.0
105.0
118.5
103.7
112.5
116.6
96.6
101.9
116.5
119.3
115.4
108.5
111.5
108.8
121.8
109.6
112.2
119.6
104.1
105.3
115.0
124.1
116.8
107.5




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=31819&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=31819&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31819&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
1-0.645407-3.09530.002552
20.0504050.24170.405564
30.2752811.32020.099879
4-0.325524-1.56120.066071
50.220691.05840.150433
60.0074160.03560.485967
7-0.178823-0.85760.19998
80.1211180.58090.283491
90.0261510.12540.450642
10-0.077715-0.37270.356389
110.0411760.19750.422596
12-0.016798-0.08060.468245
130.0050030.0240.490532
140.0235510.11290.455526
150.0022730.01090.495699
16-0.100327-0.48110.317478
170.1718770.82430.209119
18-0.128015-0.61390.27264
190.0306110.14680.442282
200.0201870.09680.461857
21-0.018713-0.08970.464633
22-0.004418-0.02120.491639
23NANANA
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
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 & -0.645407 & -3.0953 & 0.002552 \tabularnewline
2 & 0.050405 & 0.2417 & 0.405564 \tabularnewline
3 & 0.275281 & 1.3202 & 0.099879 \tabularnewline
4 & -0.325524 & -1.5612 & 0.066071 \tabularnewline
5 & 0.22069 & 1.0584 & 0.150433 \tabularnewline
6 & 0.007416 & 0.0356 & 0.485967 \tabularnewline
7 & -0.178823 & -0.8576 & 0.19998 \tabularnewline
8 & 0.121118 & 0.5809 & 0.283491 \tabularnewline
9 & 0.026151 & 0.1254 & 0.450642 \tabularnewline
10 & -0.077715 & -0.3727 & 0.356389 \tabularnewline
11 & 0.041176 & 0.1975 & 0.422596 \tabularnewline
12 & -0.016798 & -0.0806 & 0.468245 \tabularnewline
13 & 0.005003 & 0.024 & 0.490532 \tabularnewline
14 & 0.023551 & 0.1129 & 0.455526 \tabularnewline
15 & 0.002273 & 0.0109 & 0.495699 \tabularnewline
16 & -0.100327 & -0.4811 & 0.317478 \tabularnewline
17 & 0.171877 & 0.8243 & 0.209119 \tabularnewline
18 & -0.128015 & -0.6139 & 0.27264 \tabularnewline
19 & 0.030611 & 0.1468 & 0.442282 \tabularnewline
20 & 0.020187 & 0.0968 & 0.461857 \tabularnewline
21 & -0.018713 & -0.0897 & 0.464633 \tabularnewline
22 & -0.004418 & -0.0212 & 0.491639 \tabularnewline
23 & NA & NA & NA \tabularnewline
24 & NA & NA & NA \tabularnewline
25 & NA & NA & NA \tabularnewline
26 & NA & NA & NA \tabularnewline
27 & NA & NA & NA \tabularnewline
28 & NA & NA & NA \tabularnewline
29 & NA & NA & NA \tabularnewline
30 & NA & NA & NA \tabularnewline
31 & NA & NA & NA \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \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=31819&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]-0.645407[/C][C]-3.0953[/C][C]0.002552[/C][/ROW]
[ROW][C]2[/C][C]0.050405[/C][C]0.2417[/C][C]0.405564[/C][/ROW]
[ROW][C]3[/C][C]0.275281[/C][C]1.3202[/C][C]0.099879[/C][/ROW]
[ROW][C]4[/C][C]-0.325524[/C][C]-1.5612[/C][C]0.066071[/C][/ROW]
[ROW][C]5[/C][C]0.22069[/C][C]1.0584[/C][C]0.150433[/C][/ROW]
[ROW][C]6[/C][C]0.007416[/C][C]0.0356[/C][C]0.485967[/C][/ROW]
[ROW][C]7[/C][C]-0.178823[/C][C]-0.8576[/C][C]0.19998[/C][/ROW]
[ROW][C]8[/C][C]0.121118[/C][C]0.5809[/C][C]0.283491[/C][/ROW]
[ROW][C]9[/C][C]0.026151[/C][C]0.1254[/C][C]0.450642[/C][/ROW]
[ROW][C]10[/C][C]-0.077715[/C][C]-0.3727[/C][C]0.356389[/C][/ROW]
[ROW][C]11[/C][C]0.041176[/C][C]0.1975[/C][C]0.422596[/C][/ROW]
[ROW][C]12[/C][C]-0.016798[/C][C]-0.0806[/C][C]0.468245[/C][/ROW]
[ROW][C]13[/C][C]0.005003[/C][C]0.024[/C][C]0.490532[/C][/ROW]
[ROW][C]14[/C][C]0.023551[/C][C]0.1129[/C][C]0.455526[/C][/ROW]
[ROW][C]15[/C][C]0.002273[/C][C]0.0109[/C][C]0.495699[/C][/ROW]
[ROW][C]16[/C][C]-0.100327[/C][C]-0.4811[/C][C]0.317478[/C][/ROW]
[ROW][C]17[/C][C]0.171877[/C][C]0.8243[/C][C]0.209119[/C][/ROW]
[ROW][C]18[/C][C]-0.128015[/C][C]-0.6139[/C][C]0.27264[/C][/ROW]
[ROW][C]19[/C][C]0.030611[/C][C]0.1468[/C][C]0.442282[/C][/ROW]
[ROW][C]20[/C][C]0.020187[/C][C]0.0968[/C][C]0.461857[/C][/ROW]
[ROW][C]21[/C][C]-0.018713[/C][C]-0.0897[/C][C]0.464633[/C][/ROW]
[ROW][C]22[/C][C]-0.004418[/C][C]-0.0212[/C][C]0.491639[/C][/ROW]
[ROW][C]23[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]24[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]25[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]26[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]27[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]28[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]29[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]30[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]31[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=31819&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31819&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
1-0.645407-3.09530.002552
20.0504050.24170.405564
30.2752811.32020.099879
4-0.325524-1.56120.066071
50.220691.05840.150433
60.0074160.03560.485967
7-0.178823-0.85760.19998
80.1211180.58090.283491
90.0261510.12540.450642
10-0.077715-0.37270.356389
110.0411760.19750.422596
12-0.016798-0.08060.468245
130.0050030.0240.490532
140.0235510.11290.455526
150.0022730.01090.495699
16-0.100327-0.48110.317478
170.1718770.82430.209119
18-0.128015-0.61390.27264
190.0306110.14680.442282
200.0201870.09680.461857
21-0.018713-0.08970.464633
22-0.004418-0.02120.491639
23NANANA
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.645407-3.09530.002552
2-0.627553-3.00960.003124
3-0.217146-1.04140.154258
4-0.28447-1.36430.092842
5-0.125297-0.60090.27689
60.1390240.66670.255788
70.1490430.71480.240967
8-0.070292-0.33710.369547
9-0.083656-0.40120.345989
10-0.031643-0.15180.440351
11-0.057688-0.27670.392256
12-0.098715-0.47340.320188
13-0.014752-0.07070.472106
140.0476860.22870.410564
150.1400920.67190.254184
16-0.05989-0.28720.388257
170.0764840.36680.35856
180.0367130.17610.43089
190.0308680.1480.441801
20-0.089108-0.42730.33655
210.0365320.17520.431228
22-0.015513-0.07440.47067
23NANANA
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
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 & -0.645407 & -3.0953 & 0.002552 \tabularnewline
2 & -0.627553 & -3.0096 & 0.003124 \tabularnewline
3 & -0.217146 & -1.0414 & 0.154258 \tabularnewline
4 & -0.28447 & -1.3643 & 0.092842 \tabularnewline
5 & -0.125297 & -0.6009 & 0.27689 \tabularnewline
6 & 0.139024 & 0.6667 & 0.255788 \tabularnewline
7 & 0.149043 & 0.7148 & 0.240967 \tabularnewline
8 & -0.070292 & -0.3371 & 0.369547 \tabularnewline
9 & -0.083656 & -0.4012 & 0.345989 \tabularnewline
10 & -0.031643 & -0.1518 & 0.440351 \tabularnewline
11 & -0.057688 & -0.2767 & 0.392256 \tabularnewline
12 & -0.098715 & -0.4734 & 0.320188 \tabularnewline
13 & -0.014752 & -0.0707 & 0.472106 \tabularnewline
14 & 0.047686 & 0.2287 & 0.410564 \tabularnewline
15 & 0.140092 & 0.6719 & 0.254184 \tabularnewline
16 & -0.05989 & -0.2872 & 0.388257 \tabularnewline
17 & 0.076484 & 0.3668 & 0.35856 \tabularnewline
18 & 0.036713 & 0.1761 & 0.43089 \tabularnewline
19 & 0.030868 & 0.148 & 0.441801 \tabularnewline
20 & -0.089108 & -0.4273 & 0.33655 \tabularnewline
21 & 0.036532 & 0.1752 & 0.431228 \tabularnewline
22 & -0.015513 & -0.0744 & 0.47067 \tabularnewline
23 & NA & NA & NA \tabularnewline
24 & NA & NA & NA \tabularnewline
25 & NA & NA & NA \tabularnewline
26 & NA & NA & NA \tabularnewline
27 & NA & NA & NA \tabularnewline
28 & NA & NA & NA \tabularnewline
29 & NA & NA & NA \tabularnewline
30 & NA & NA & NA \tabularnewline
31 & NA & NA & NA \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \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=31819&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]-0.645407[/C][C]-3.0953[/C][C]0.002552[/C][/ROW]
[ROW][C]2[/C][C]-0.627553[/C][C]-3.0096[/C][C]0.003124[/C][/ROW]
[ROW][C]3[/C][C]-0.217146[/C][C]-1.0414[/C][C]0.154258[/C][/ROW]
[ROW][C]4[/C][C]-0.28447[/C][C]-1.3643[/C][C]0.092842[/C][/ROW]
[ROW][C]5[/C][C]-0.125297[/C][C]-0.6009[/C][C]0.27689[/C][/ROW]
[ROW][C]6[/C][C]0.139024[/C][C]0.6667[/C][C]0.255788[/C][/ROW]
[ROW][C]7[/C][C]0.149043[/C][C]0.7148[/C][C]0.240967[/C][/ROW]
[ROW][C]8[/C][C]-0.070292[/C][C]-0.3371[/C][C]0.369547[/C][/ROW]
[ROW][C]9[/C][C]-0.083656[/C][C]-0.4012[/C][C]0.345989[/C][/ROW]
[ROW][C]10[/C][C]-0.031643[/C][C]-0.1518[/C][C]0.440351[/C][/ROW]
[ROW][C]11[/C][C]-0.057688[/C][C]-0.2767[/C][C]0.392256[/C][/ROW]
[ROW][C]12[/C][C]-0.098715[/C][C]-0.4734[/C][C]0.320188[/C][/ROW]
[ROW][C]13[/C][C]-0.014752[/C][C]-0.0707[/C][C]0.472106[/C][/ROW]
[ROW][C]14[/C][C]0.047686[/C][C]0.2287[/C][C]0.410564[/C][/ROW]
[ROW][C]15[/C][C]0.140092[/C][C]0.6719[/C][C]0.254184[/C][/ROW]
[ROW][C]16[/C][C]-0.05989[/C][C]-0.2872[/C][C]0.388257[/C][/ROW]
[ROW][C]17[/C][C]0.076484[/C][C]0.3668[/C][C]0.35856[/C][/ROW]
[ROW][C]18[/C][C]0.036713[/C][C]0.1761[/C][C]0.43089[/C][/ROW]
[ROW][C]19[/C][C]0.030868[/C][C]0.148[/C][C]0.441801[/C][/ROW]
[ROW][C]20[/C][C]-0.089108[/C][C]-0.4273[/C][C]0.33655[/C][/ROW]
[ROW][C]21[/C][C]0.036532[/C][C]0.1752[/C][C]0.431228[/C][/ROW]
[ROW][C]22[/C][C]-0.015513[/C][C]-0.0744[/C][C]0.47067[/C][/ROW]
[ROW][C]23[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]24[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]25[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]26[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]27[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]28[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]29[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]30[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]31[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=31819&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31819&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
1-0.645407-3.09530.002552
2-0.627553-3.00960.003124
3-0.217146-1.04140.154258
4-0.28447-1.36430.092842
5-0.125297-0.60090.27689
60.1390240.66670.255788
70.1490430.71480.240967
8-0.070292-0.33710.369547
9-0.083656-0.40120.345989
10-0.031643-0.15180.440351
11-0.057688-0.27670.392256
12-0.098715-0.47340.320188
13-0.014752-0.07070.472106
140.0476860.22870.410564
150.1400920.67190.254184
16-0.05989-0.28720.388257
170.0764840.36680.35856
180.0367130.17610.43089
190.0308680.1480.441801
20-0.089108-0.42730.33655
210.0365320.17520.431228
22-0.015513-0.07440.47067
23NANANA
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



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