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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 23 Dec 2008 12:28:39 -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/23/t1230060616pcvwoe7i2lnj4tc.htm/, Retrieved Sun, 19 May 2024 12:14:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36377, Retrieved Sun, 19 May 2024 12:14:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Huur] [2008-12-23 19:28:39] [4feaea4b7a1dc404ed7b3613ea3a9f56] [Current]
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Dataseries X:
100,95
101,26
101,42
101,68
101,75
101,89
102,07
102,22
102,45
102,62
102,67
102,86
104,78
104,87
105,06
105,14
105,32
105,54
105,68
105,77
106,07
106,03
106,13
106,28
106,61
106,74
107,01
107,1
107,28
107,4
107,59
107,69
107,78
108,02
108
108,07
108,36
108,74
108,99
109,21
109,31
109,41
109,54
109,81
109,85
110,01
110,23




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=36377&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=36377&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36377&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
1-0.053463-0.36260.35928
2-0.067757-0.45960.324002
3-0.076502-0.51890.303172
40.0179650.12180.451777
5-0.020955-0.14210.443801
6-0.00582-0.03950.484342
7-0.083513-0.56640.286932
8-0.003685-0.0250.490084
9-0.075585-0.51260.305328
10-0.051295-0.34790.364752
110.0464370.3150.377111
120.0871410.5910.278701
130.0073150.04960.480324
140.0403860.27390.392689
15-0.05364-0.36380.358835
16-0.01012-0.06860.472788
17-0.017183-0.11650.453867
18-0.012732-0.08630.465782
19-0.020694-0.14040.444497
20-0.061385-0.41630.339551
210.033380.22640.410949
22-0.108752-0.73760.232254
23-0.043249-0.29330.385296
240.0430410.29190.385831
250.1113720.75540.226941
260.0261580.17740.429981
270.0135860.09210.463492
28-0.050348-0.34150.36715
29-0.041787-0.28340.389065
30-0.025077-0.17010.432846
310.03920.26590.395765
32-0.08336-0.56540.287284
33-0.034824-0.23620.407167
340.0132010.08950.464525
350.0082520.0560.477806
360.0088830.06020.476109
370.0063550.04310.482904
380.0034670.02350.490672
39-0.002954-0.020.49205
400.0057490.0390.484532
41-0.004633-0.03140.487536
420.0027510.01870.492598
43-0.004348-0.02950.488302
44-0.001561-0.01060.495798
450.0005850.0040.498427
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.053463 & -0.3626 & 0.35928 \tabularnewline
2 & -0.067757 & -0.4596 & 0.324002 \tabularnewline
3 & -0.076502 & -0.5189 & 0.303172 \tabularnewline
4 & 0.017965 & 0.1218 & 0.451777 \tabularnewline
5 & -0.020955 & -0.1421 & 0.443801 \tabularnewline
6 & -0.00582 & -0.0395 & 0.484342 \tabularnewline
7 & -0.083513 & -0.5664 & 0.286932 \tabularnewline
8 & -0.003685 & -0.025 & 0.490084 \tabularnewline
9 & -0.075585 & -0.5126 & 0.305328 \tabularnewline
10 & -0.051295 & -0.3479 & 0.364752 \tabularnewline
11 & 0.046437 & 0.315 & 0.377111 \tabularnewline
12 & 0.087141 & 0.591 & 0.278701 \tabularnewline
13 & 0.007315 & 0.0496 & 0.480324 \tabularnewline
14 & 0.040386 & 0.2739 & 0.392689 \tabularnewline
15 & -0.05364 & -0.3638 & 0.358835 \tabularnewline
16 & -0.01012 & -0.0686 & 0.472788 \tabularnewline
17 & -0.017183 & -0.1165 & 0.453867 \tabularnewline
18 & -0.012732 & -0.0863 & 0.465782 \tabularnewline
19 & -0.020694 & -0.1404 & 0.444497 \tabularnewline
20 & -0.061385 & -0.4163 & 0.339551 \tabularnewline
21 & 0.03338 & 0.2264 & 0.410949 \tabularnewline
22 & -0.108752 & -0.7376 & 0.232254 \tabularnewline
23 & -0.043249 & -0.2933 & 0.385296 \tabularnewline
24 & 0.043041 & 0.2919 & 0.385831 \tabularnewline
25 & 0.111372 & 0.7554 & 0.226941 \tabularnewline
26 & 0.026158 & 0.1774 & 0.429981 \tabularnewline
27 & 0.013586 & 0.0921 & 0.463492 \tabularnewline
28 & -0.050348 & -0.3415 & 0.36715 \tabularnewline
29 & -0.041787 & -0.2834 & 0.389065 \tabularnewline
30 & -0.025077 & -0.1701 & 0.432846 \tabularnewline
31 & 0.0392 & 0.2659 & 0.395765 \tabularnewline
32 & -0.08336 & -0.5654 & 0.287284 \tabularnewline
33 & -0.034824 & -0.2362 & 0.407167 \tabularnewline
34 & 0.013201 & 0.0895 & 0.464525 \tabularnewline
35 & 0.008252 & 0.056 & 0.477806 \tabularnewline
36 & 0.008883 & 0.0602 & 0.476109 \tabularnewline
37 & 0.006355 & 0.0431 & 0.482904 \tabularnewline
38 & 0.003467 & 0.0235 & 0.490672 \tabularnewline
39 & -0.002954 & -0.02 & 0.49205 \tabularnewline
40 & 0.005749 & 0.039 & 0.484532 \tabularnewline
41 & -0.004633 & -0.0314 & 0.487536 \tabularnewline
42 & 0.002751 & 0.0187 & 0.492598 \tabularnewline
43 & -0.004348 & -0.0295 & 0.488302 \tabularnewline
44 & -0.001561 & -0.0106 & 0.495798 \tabularnewline
45 & 0.000585 & 0.004 & 0.498427 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36377&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]-0.053463[/C][C]-0.3626[/C][C]0.35928[/C][/ROW]
[ROW][C]2[/C][C]-0.067757[/C][C]-0.4596[/C][C]0.324002[/C][/ROW]
[ROW][C]3[/C][C]-0.076502[/C][C]-0.5189[/C][C]0.303172[/C][/ROW]
[ROW][C]4[/C][C]0.017965[/C][C]0.1218[/C][C]0.451777[/C][/ROW]
[ROW][C]5[/C][C]-0.020955[/C][C]-0.1421[/C][C]0.443801[/C][/ROW]
[ROW][C]6[/C][C]-0.00582[/C][C]-0.0395[/C][C]0.484342[/C][/ROW]
[ROW][C]7[/C][C]-0.083513[/C][C]-0.5664[/C][C]0.286932[/C][/ROW]
[ROW][C]8[/C][C]-0.003685[/C][C]-0.025[/C][C]0.490084[/C][/ROW]
[ROW][C]9[/C][C]-0.075585[/C][C]-0.5126[/C][C]0.305328[/C][/ROW]
[ROW][C]10[/C][C]-0.051295[/C][C]-0.3479[/C][C]0.364752[/C][/ROW]
[ROW][C]11[/C][C]0.046437[/C][C]0.315[/C][C]0.377111[/C][/ROW]
[ROW][C]12[/C][C]0.087141[/C][C]0.591[/C][C]0.278701[/C][/ROW]
[ROW][C]13[/C][C]0.007315[/C][C]0.0496[/C][C]0.480324[/C][/ROW]
[ROW][C]14[/C][C]0.040386[/C][C]0.2739[/C][C]0.392689[/C][/ROW]
[ROW][C]15[/C][C]-0.05364[/C][C]-0.3638[/C][C]0.358835[/C][/ROW]
[ROW][C]16[/C][C]-0.01012[/C][C]-0.0686[/C][C]0.472788[/C][/ROW]
[ROW][C]17[/C][C]-0.017183[/C][C]-0.1165[/C][C]0.453867[/C][/ROW]
[ROW][C]18[/C][C]-0.012732[/C][C]-0.0863[/C][C]0.465782[/C][/ROW]
[ROW][C]19[/C][C]-0.020694[/C][C]-0.1404[/C][C]0.444497[/C][/ROW]
[ROW][C]20[/C][C]-0.061385[/C][C]-0.4163[/C][C]0.339551[/C][/ROW]
[ROW][C]21[/C][C]0.03338[/C][C]0.2264[/C][C]0.410949[/C][/ROW]
[ROW][C]22[/C][C]-0.108752[/C][C]-0.7376[/C][C]0.232254[/C][/ROW]
[ROW][C]23[/C][C]-0.043249[/C][C]-0.2933[/C][C]0.385296[/C][/ROW]
[ROW][C]24[/C][C]0.043041[/C][C]0.2919[/C][C]0.385831[/C][/ROW]
[ROW][C]25[/C][C]0.111372[/C][C]0.7554[/C][C]0.226941[/C][/ROW]
[ROW][C]26[/C][C]0.026158[/C][C]0.1774[/C][C]0.429981[/C][/ROW]
[ROW][C]27[/C][C]0.013586[/C][C]0.0921[/C][C]0.463492[/C][/ROW]
[ROW][C]28[/C][C]-0.050348[/C][C]-0.3415[/C][C]0.36715[/C][/ROW]
[ROW][C]29[/C][C]-0.041787[/C][C]-0.2834[/C][C]0.389065[/C][/ROW]
[ROW][C]30[/C][C]-0.025077[/C][C]-0.1701[/C][C]0.432846[/C][/ROW]
[ROW][C]31[/C][C]0.0392[/C][C]0.2659[/C][C]0.395765[/C][/ROW]
[ROW][C]32[/C][C]-0.08336[/C][C]-0.5654[/C][C]0.287284[/C][/ROW]
[ROW][C]33[/C][C]-0.034824[/C][C]-0.2362[/C][C]0.407167[/C][/ROW]
[ROW][C]34[/C][C]0.013201[/C][C]0.0895[/C][C]0.464525[/C][/ROW]
[ROW][C]35[/C][C]0.008252[/C][C]0.056[/C][C]0.477806[/C][/ROW]
[ROW][C]36[/C][C]0.008883[/C][C]0.0602[/C][C]0.476109[/C][/ROW]
[ROW][C]37[/C][C]0.006355[/C][C]0.0431[/C][C]0.482904[/C][/ROW]
[ROW][C]38[/C][C]0.003467[/C][C]0.0235[/C][C]0.490672[/C][/ROW]
[ROW][C]39[/C][C]-0.002954[/C][C]-0.02[/C][C]0.49205[/C][/ROW]
[ROW][C]40[/C][C]0.005749[/C][C]0.039[/C][C]0.484532[/C][/ROW]
[ROW][C]41[/C][C]-0.004633[/C][C]-0.0314[/C][C]0.487536[/C][/ROW]
[ROW][C]42[/C][C]0.002751[/C][C]0.0187[/C][C]0.492598[/C][/ROW]
[ROW][C]43[/C][C]-0.004348[/C][C]-0.0295[/C][C]0.488302[/C][/ROW]
[ROW][C]44[/C][C]-0.001561[/C][C]-0.0106[/C][C]0.495798[/C][/ROW]
[ROW][C]45[/C][C]0.000585[/C][C]0.004[/C][C]0.498427[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36377&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36377&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
1-0.053463-0.36260.35928
2-0.067757-0.45960.324002
3-0.076502-0.51890.303172
40.0179650.12180.451777
5-0.020955-0.14210.443801
6-0.00582-0.03950.484342
7-0.083513-0.56640.286932
8-0.003685-0.0250.490084
9-0.075585-0.51260.305328
10-0.051295-0.34790.364752
110.0464370.3150.377111
120.0871410.5910.278701
130.0073150.04960.480324
140.0403860.27390.392689
15-0.05364-0.36380.358835
16-0.01012-0.06860.472788
17-0.017183-0.11650.453867
18-0.012732-0.08630.465782
19-0.020694-0.14040.444497
20-0.061385-0.41630.339551
210.033380.22640.410949
22-0.108752-0.73760.232254
23-0.043249-0.29330.385296
240.0430410.29190.385831
250.1113720.75540.226941
260.0261580.17740.429981
270.0135860.09210.463492
28-0.050348-0.34150.36715
29-0.041787-0.28340.389065
30-0.025077-0.17010.432846
310.03920.26590.395765
32-0.08336-0.56540.287284
33-0.034824-0.23620.407167
340.0132010.08950.464525
350.0082520.0560.477806
360.0088830.06020.476109
370.0063550.04310.482904
380.0034670.02350.490672
39-0.002954-0.020.49205
400.0057490.0390.484532
41-0.004633-0.03140.487536
420.0027510.01870.492598
43-0.004348-0.02950.488302
44-0.001561-0.01060.495798
450.0005850.0040.498427
46NANANA
47NANANA
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.053463-0.36260.35928
2-0.070818-0.48030.316642
3-0.084834-0.57540.283922
40.0035150.02380.490542
5-0.031613-0.21440.415588
6-0.014204-0.09630.461837
7-0.088292-0.59880.276113
8-0.020835-0.14130.44412
9-0.093663-0.63530.264205
10-0.08177-0.55460.290932
110.0221860.15050.440524
120.0638660.43320.333461
130.0103190.070.472253
140.0491870.33360.370097
15-0.043853-0.29740.383741
16-0.025044-0.16990.432933
17-0.029944-0.20310.419981
18-0.027447-0.18620.42657
19-0.022716-0.15410.439116
20-0.06856-0.4650.322064
210.0427360.28980.386618
22-0.12356-0.8380.203175
23-0.073793-0.50050.309558
240.0053720.03640.485546
250.0667510.45270.326437
260.0236290.16030.43669
270.0238990.16210.435973
28-0.036385-0.24680.403091
29-0.072809-0.49380.311893
30-0.050678-0.34370.366314
310.0210410.14270.443573
32-0.098517-0.66820.253681
33-0.045636-0.30950.379163
340.0417420.28310.389182
35-0.013557-0.0920.463568
36-0.003081-0.02090.491708
37-0.035014-0.23750.40667
38-0.036304-0.24620.403302
39-0.055519-0.37660.354119
40-0.002067-0.0140.494438
41-0.004001-0.02710.489234
42-0.030638-0.20780.418153
43-0.000909-0.00620.497555
440.0053560.03630.485589
45-0.020331-0.13790.445464
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.053463 & -0.3626 & 0.35928 \tabularnewline
2 & -0.070818 & -0.4803 & 0.316642 \tabularnewline
3 & -0.084834 & -0.5754 & 0.283922 \tabularnewline
4 & 0.003515 & 0.0238 & 0.490542 \tabularnewline
5 & -0.031613 & -0.2144 & 0.415588 \tabularnewline
6 & -0.014204 & -0.0963 & 0.461837 \tabularnewline
7 & -0.088292 & -0.5988 & 0.276113 \tabularnewline
8 & -0.020835 & -0.1413 & 0.44412 \tabularnewline
9 & -0.093663 & -0.6353 & 0.264205 \tabularnewline
10 & -0.08177 & -0.5546 & 0.290932 \tabularnewline
11 & 0.022186 & 0.1505 & 0.440524 \tabularnewline
12 & 0.063866 & 0.4332 & 0.333461 \tabularnewline
13 & 0.010319 & 0.07 & 0.472253 \tabularnewline
14 & 0.049187 & 0.3336 & 0.370097 \tabularnewline
15 & -0.043853 & -0.2974 & 0.383741 \tabularnewline
16 & -0.025044 & -0.1699 & 0.432933 \tabularnewline
17 & -0.029944 & -0.2031 & 0.419981 \tabularnewline
18 & -0.027447 & -0.1862 & 0.42657 \tabularnewline
19 & -0.022716 & -0.1541 & 0.439116 \tabularnewline
20 & -0.06856 & -0.465 & 0.322064 \tabularnewline
21 & 0.042736 & 0.2898 & 0.386618 \tabularnewline
22 & -0.12356 & -0.838 & 0.203175 \tabularnewline
23 & -0.073793 & -0.5005 & 0.309558 \tabularnewline
24 & 0.005372 & 0.0364 & 0.485546 \tabularnewline
25 & 0.066751 & 0.4527 & 0.326437 \tabularnewline
26 & 0.023629 & 0.1603 & 0.43669 \tabularnewline
27 & 0.023899 & 0.1621 & 0.435973 \tabularnewline
28 & -0.036385 & -0.2468 & 0.403091 \tabularnewline
29 & -0.072809 & -0.4938 & 0.311893 \tabularnewline
30 & -0.050678 & -0.3437 & 0.366314 \tabularnewline
31 & 0.021041 & 0.1427 & 0.443573 \tabularnewline
32 & -0.098517 & -0.6682 & 0.253681 \tabularnewline
33 & -0.045636 & -0.3095 & 0.379163 \tabularnewline
34 & 0.041742 & 0.2831 & 0.389182 \tabularnewline
35 & -0.013557 & -0.092 & 0.463568 \tabularnewline
36 & -0.003081 & -0.0209 & 0.491708 \tabularnewline
37 & -0.035014 & -0.2375 & 0.40667 \tabularnewline
38 & -0.036304 & -0.2462 & 0.403302 \tabularnewline
39 & -0.055519 & -0.3766 & 0.354119 \tabularnewline
40 & -0.002067 & -0.014 & 0.494438 \tabularnewline
41 & -0.004001 & -0.0271 & 0.489234 \tabularnewline
42 & -0.030638 & -0.2078 & 0.418153 \tabularnewline
43 & -0.000909 & -0.0062 & 0.497555 \tabularnewline
44 & 0.005356 & 0.0363 & 0.485589 \tabularnewline
45 & -0.020331 & -0.1379 & 0.445464 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36377&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]-0.053463[/C][C]-0.3626[/C][C]0.35928[/C][/ROW]
[ROW][C]2[/C][C]-0.070818[/C][C]-0.4803[/C][C]0.316642[/C][/ROW]
[ROW][C]3[/C][C]-0.084834[/C][C]-0.5754[/C][C]0.283922[/C][/ROW]
[ROW][C]4[/C][C]0.003515[/C][C]0.0238[/C][C]0.490542[/C][/ROW]
[ROW][C]5[/C][C]-0.031613[/C][C]-0.2144[/C][C]0.415588[/C][/ROW]
[ROW][C]6[/C][C]-0.014204[/C][C]-0.0963[/C][C]0.461837[/C][/ROW]
[ROW][C]7[/C][C]-0.088292[/C][C]-0.5988[/C][C]0.276113[/C][/ROW]
[ROW][C]8[/C][C]-0.020835[/C][C]-0.1413[/C][C]0.44412[/C][/ROW]
[ROW][C]9[/C][C]-0.093663[/C][C]-0.6353[/C][C]0.264205[/C][/ROW]
[ROW][C]10[/C][C]-0.08177[/C][C]-0.5546[/C][C]0.290932[/C][/ROW]
[ROW][C]11[/C][C]0.022186[/C][C]0.1505[/C][C]0.440524[/C][/ROW]
[ROW][C]12[/C][C]0.063866[/C][C]0.4332[/C][C]0.333461[/C][/ROW]
[ROW][C]13[/C][C]0.010319[/C][C]0.07[/C][C]0.472253[/C][/ROW]
[ROW][C]14[/C][C]0.049187[/C][C]0.3336[/C][C]0.370097[/C][/ROW]
[ROW][C]15[/C][C]-0.043853[/C][C]-0.2974[/C][C]0.383741[/C][/ROW]
[ROW][C]16[/C][C]-0.025044[/C][C]-0.1699[/C][C]0.432933[/C][/ROW]
[ROW][C]17[/C][C]-0.029944[/C][C]-0.2031[/C][C]0.419981[/C][/ROW]
[ROW][C]18[/C][C]-0.027447[/C][C]-0.1862[/C][C]0.42657[/C][/ROW]
[ROW][C]19[/C][C]-0.022716[/C][C]-0.1541[/C][C]0.439116[/C][/ROW]
[ROW][C]20[/C][C]-0.06856[/C][C]-0.465[/C][C]0.322064[/C][/ROW]
[ROW][C]21[/C][C]0.042736[/C][C]0.2898[/C][C]0.386618[/C][/ROW]
[ROW][C]22[/C][C]-0.12356[/C][C]-0.838[/C][C]0.203175[/C][/ROW]
[ROW][C]23[/C][C]-0.073793[/C][C]-0.5005[/C][C]0.309558[/C][/ROW]
[ROW][C]24[/C][C]0.005372[/C][C]0.0364[/C][C]0.485546[/C][/ROW]
[ROW][C]25[/C][C]0.066751[/C][C]0.4527[/C][C]0.326437[/C][/ROW]
[ROW][C]26[/C][C]0.023629[/C][C]0.1603[/C][C]0.43669[/C][/ROW]
[ROW][C]27[/C][C]0.023899[/C][C]0.1621[/C][C]0.435973[/C][/ROW]
[ROW][C]28[/C][C]-0.036385[/C][C]-0.2468[/C][C]0.403091[/C][/ROW]
[ROW][C]29[/C][C]-0.072809[/C][C]-0.4938[/C][C]0.311893[/C][/ROW]
[ROW][C]30[/C][C]-0.050678[/C][C]-0.3437[/C][C]0.366314[/C][/ROW]
[ROW][C]31[/C][C]0.021041[/C][C]0.1427[/C][C]0.443573[/C][/ROW]
[ROW][C]32[/C][C]-0.098517[/C][C]-0.6682[/C][C]0.253681[/C][/ROW]
[ROW][C]33[/C][C]-0.045636[/C][C]-0.3095[/C][C]0.379163[/C][/ROW]
[ROW][C]34[/C][C]0.041742[/C][C]0.2831[/C][C]0.389182[/C][/ROW]
[ROW][C]35[/C][C]-0.013557[/C][C]-0.092[/C][C]0.463568[/C][/ROW]
[ROW][C]36[/C][C]-0.003081[/C][C]-0.0209[/C][C]0.491708[/C][/ROW]
[ROW][C]37[/C][C]-0.035014[/C][C]-0.2375[/C][C]0.40667[/C][/ROW]
[ROW][C]38[/C][C]-0.036304[/C][C]-0.2462[/C][C]0.403302[/C][/ROW]
[ROW][C]39[/C][C]-0.055519[/C][C]-0.3766[/C][C]0.354119[/C][/ROW]
[ROW][C]40[/C][C]-0.002067[/C][C]-0.014[/C][C]0.494438[/C][/ROW]
[ROW][C]41[/C][C]-0.004001[/C][C]-0.0271[/C][C]0.489234[/C][/ROW]
[ROW][C]42[/C][C]-0.030638[/C][C]-0.2078[/C][C]0.418153[/C][/ROW]
[ROW][C]43[/C][C]-0.000909[/C][C]-0.0062[/C][C]0.497555[/C][/ROW]
[ROW][C]44[/C][C]0.005356[/C][C]0.0363[/C][C]0.485589[/C][/ROW]
[ROW][C]45[/C][C]-0.020331[/C][C]-0.1379[/C][C]0.445464[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36377&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36377&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
1-0.053463-0.36260.35928
2-0.070818-0.48030.316642
3-0.084834-0.57540.283922
40.0035150.02380.490542
5-0.031613-0.21440.415588
6-0.014204-0.09630.461837
7-0.088292-0.59880.276113
8-0.020835-0.14130.44412
9-0.093663-0.63530.264205
10-0.08177-0.55460.290932
110.0221860.15050.440524
120.0638660.43320.333461
130.0103190.070.472253
140.0491870.33360.370097
15-0.043853-0.29740.383741
16-0.025044-0.16990.432933
17-0.029944-0.20310.419981
18-0.027447-0.18620.42657
19-0.022716-0.15410.439116
20-0.06856-0.4650.322064
210.0427360.28980.386618
22-0.12356-0.8380.203175
23-0.073793-0.50050.309558
240.0053720.03640.485546
250.0667510.45270.326437
260.0236290.16030.43669
270.0238990.16210.435973
28-0.036385-0.24680.403091
29-0.072809-0.49380.311893
30-0.050678-0.34370.366314
310.0210410.14270.443573
32-0.098517-0.66820.253681
33-0.045636-0.30950.379163
340.0417420.28310.389182
35-0.013557-0.0920.463568
36-0.003081-0.02090.491708
37-0.035014-0.23750.40667
38-0.036304-0.24620.403302
39-0.055519-0.37660.354119
40-0.002067-0.0140.494438
41-0.004001-0.02710.489234
42-0.030638-0.20780.418153
43-0.000909-0.00620.497555
440.0053560.03630.485589
45-0.020331-0.13790.445464
46NANANA
47NANANA
48NANANA



Parameters (Session):
par1 = 48 ; par2 = 1.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.0 ; 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')