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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 04 Jun 2009 06:54:03 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/04/t1244120185alqyq1fvx98dabn.htm/, Retrieved Tue, 14 May 2024 06:46:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41642, Retrieved Tue, 14 May 2024 06:46:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelation p...] [2009-06-04 12:54:03] [9364ba89745f85ae1a87c1bb903f3881] [Current]
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Dataseries X:
106,8
114,3
105,7
90,1
91,6
97,7
100,8
104,6
95,9
102,7
104
107,9
113,8
113,8
123,1
125,1
137,6
134
140,3
152,1
150,6
167,3
153,2
142
154,4
158,5
180,9
181,3
172,4
192
199,3
215,4
214,3
201,5
190,5
196
215,7
209,4
214,1
237,8
239
237,8
251,5
248,8
215,4
201,2
203,1
214,2
188,9
203
213,3
228,5
228,2
240,9
258,8
248,5
269,2
289,6
323,4
317,2
322,8
340,9
368,2
388,5
441,2
474,3
483,9
417,9
365,9
263
199,4
157,2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41642&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41642&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41642&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9581518.13020
20.8844317.50460
30.7908316.71040
40.6974865.91840
50.6108145.18291e-06
60.5440184.61618e-06
70.4900824.15854.4e-05
80.439633.73040.000189
90.3872633.2860.000786
100.3424942.90620.002429
110.2974582.5240.006904
120.2538962.15440.017279
130.2159351.83230.035523
140.1881471.59650.057381
150.1632791.38550.085094
160.1369361.16190.124549
170.1174390.99650.161172
180.1046010.88760.188865
190.0976990.8290.20492
200.0956290.81140.209895
210.0976630.82870.205007
220.1003560.85150.198644
230.0957370.81240.209633
240.081710.69330.245165
250.0670880.56930.285476
260.0422530.35850.360498
270.0138710.11770.453316
28-0.015299-0.12980.448538
29-0.040702-0.34540.365412
30-0.059663-0.50630.307111
31-0.075513-0.64070.261861
32-0.084236-0.71480.238531
33-0.091781-0.77880.219328
34-0.103583-0.87890.191181
35-0.118626-1.00660.158756
36-0.136584-1.1590.125152
37-0.155235-1.31720.095972
38-0.178033-1.51070.067625
39-0.197856-1.67890.048757
40-0.210311-1.78450.039274
41-0.220296-1.86930.032826
42-0.229546-1.94780.027671
43-0.235854-2.00130.024565
44-0.240319-2.03920.022552
45-0.248452-2.10820.019248
46-0.259948-2.20570.015298
47-0.27494-2.33290.011224
48-0.290844-2.46790.007984

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958151 & 8.1302 & 0 \tabularnewline
2 & 0.884431 & 7.5046 & 0 \tabularnewline
3 & 0.790831 & 6.7104 & 0 \tabularnewline
4 & 0.697486 & 5.9184 & 0 \tabularnewline
5 & 0.610814 & 5.1829 & 1e-06 \tabularnewline
6 & 0.544018 & 4.6161 & 8e-06 \tabularnewline
7 & 0.490082 & 4.1585 & 4.4e-05 \tabularnewline
8 & 0.43963 & 3.7304 & 0.000189 \tabularnewline
9 & 0.387263 & 3.286 & 0.000786 \tabularnewline
10 & 0.342494 & 2.9062 & 0.002429 \tabularnewline
11 & 0.297458 & 2.524 & 0.006904 \tabularnewline
12 & 0.253896 & 2.1544 & 0.017279 \tabularnewline
13 & 0.215935 & 1.8323 & 0.035523 \tabularnewline
14 & 0.188147 & 1.5965 & 0.057381 \tabularnewline
15 & 0.163279 & 1.3855 & 0.085094 \tabularnewline
16 & 0.136936 & 1.1619 & 0.124549 \tabularnewline
17 & 0.117439 & 0.9965 & 0.161172 \tabularnewline
18 & 0.104601 & 0.8876 & 0.188865 \tabularnewline
19 & 0.097699 & 0.829 & 0.20492 \tabularnewline
20 & 0.095629 & 0.8114 & 0.209895 \tabularnewline
21 & 0.097663 & 0.8287 & 0.205007 \tabularnewline
22 & 0.100356 & 0.8515 & 0.198644 \tabularnewline
23 & 0.095737 & 0.8124 & 0.209633 \tabularnewline
24 & 0.08171 & 0.6933 & 0.245165 \tabularnewline
25 & 0.067088 & 0.5693 & 0.285476 \tabularnewline
26 & 0.042253 & 0.3585 & 0.360498 \tabularnewline
27 & 0.013871 & 0.1177 & 0.453316 \tabularnewline
28 & -0.015299 & -0.1298 & 0.448538 \tabularnewline
29 & -0.040702 & -0.3454 & 0.365412 \tabularnewline
30 & -0.059663 & -0.5063 & 0.307111 \tabularnewline
31 & -0.075513 & -0.6407 & 0.261861 \tabularnewline
32 & -0.084236 & -0.7148 & 0.238531 \tabularnewline
33 & -0.091781 & -0.7788 & 0.219328 \tabularnewline
34 & -0.103583 & -0.8789 & 0.191181 \tabularnewline
35 & -0.118626 & -1.0066 & 0.158756 \tabularnewline
36 & -0.136584 & -1.159 & 0.125152 \tabularnewline
37 & -0.155235 & -1.3172 & 0.095972 \tabularnewline
38 & -0.178033 & -1.5107 & 0.067625 \tabularnewline
39 & -0.197856 & -1.6789 & 0.048757 \tabularnewline
40 & -0.210311 & -1.7845 & 0.039274 \tabularnewline
41 & -0.220296 & -1.8693 & 0.032826 \tabularnewline
42 & -0.229546 & -1.9478 & 0.027671 \tabularnewline
43 & -0.235854 & -2.0013 & 0.024565 \tabularnewline
44 & -0.240319 & -2.0392 & 0.022552 \tabularnewline
45 & -0.248452 & -2.1082 & 0.019248 \tabularnewline
46 & -0.259948 & -2.2057 & 0.015298 \tabularnewline
47 & -0.27494 & -2.3329 & 0.011224 \tabularnewline
48 & -0.290844 & -2.4679 & 0.007984 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41642&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]0.958151[/C][C]8.1302[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.884431[/C][C]7.5046[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.790831[/C][C]6.7104[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.697486[/C][C]5.9184[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.610814[/C][C]5.1829[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.544018[/C][C]4.6161[/C][C]8e-06[/C][/ROW]
[ROW][C]7[/C][C]0.490082[/C][C]4.1585[/C][C]4.4e-05[/C][/ROW]
[ROW][C]8[/C][C]0.43963[/C][C]3.7304[/C][C]0.000189[/C][/ROW]
[ROW][C]9[/C][C]0.387263[/C][C]3.286[/C][C]0.000786[/C][/ROW]
[ROW][C]10[/C][C]0.342494[/C][C]2.9062[/C][C]0.002429[/C][/ROW]
[ROW][C]11[/C][C]0.297458[/C][C]2.524[/C][C]0.006904[/C][/ROW]
[ROW][C]12[/C][C]0.253896[/C][C]2.1544[/C][C]0.017279[/C][/ROW]
[ROW][C]13[/C][C]0.215935[/C][C]1.8323[/C][C]0.035523[/C][/ROW]
[ROW][C]14[/C][C]0.188147[/C][C]1.5965[/C][C]0.057381[/C][/ROW]
[ROW][C]15[/C][C]0.163279[/C][C]1.3855[/C][C]0.085094[/C][/ROW]
[ROW][C]16[/C][C]0.136936[/C][C]1.1619[/C][C]0.124549[/C][/ROW]
[ROW][C]17[/C][C]0.117439[/C][C]0.9965[/C][C]0.161172[/C][/ROW]
[ROW][C]18[/C][C]0.104601[/C][C]0.8876[/C][C]0.188865[/C][/ROW]
[ROW][C]19[/C][C]0.097699[/C][C]0.829[/C][C]0.20492[/C][/ROW]
[ROW][C]20[/C][C]0.095629[/C][C]0.8114[/C][C]0.209895[/C][/ROW]
[ROW][C]21[/C][C]0.097663[/C][C]0.8287[/C][C]0.205007[/C][/ROW]
[ROW][C]22[/C][C]0.100356[/C][C]0.8515[/C][C]0.198644[/C][/ROW]
[ROW][C]23[/C][C]0.095737[/C][C]0.8124[/C][C]0.209633[/C][/ROW]
[ROW][C]24[/C][C]0.08171[/C][C]0.6933[/C][C]0.245165[/C][/ROW]
[ROW][C]25[/C][C]0.067088[/C][C]0.5693[/C][C]0.285476[/C][/ROW]
[ROW][C]26[/C][C]0.042253[/C][C]0.3585[/C][C]0.360498[/C][/ROW]
[ROW][C]27[/C][C]0.013871[/C][C]0.1177[/C][C]0.453316[/C][/ROW]
[ROW][C]28[/C][C]-0.015299[/C][C]-0.1298[/C][C]0.448538[/C][/ROW]
[ROW][C]29[/C][C]-0.040702[/C][C]-0.3454[/C][C]0.365412[/C][/ROW]
[ROW][C]30[/C][C]-0.059663[/C][C]-0.5063[/C][C]0.307111[/C][/ROW]
[ROW][C]31[/C][C]-0.075513[/C][C]-0.6407[/C][C]0.261861[/C][/ROW]
[ROW][C]32[/C][C]-0.084236[/C][C]-0.7148[/C][C]0.238531[/C][/ROW]
[ROW][C]33[/C][C]-0.091781[/C][C]-0.7788[/C][C]0.219328[/C][/ROW]
[ROW][C]34[/C][C]-0.103583[/C][C]-0.8789[/C][C]0.191181[/C][/ROW]
[ROW][C]35[/C][C]-0.118626[/C][C]-1.0066[/C][C]0.158756[/C][/ROW]
[ROW][C]36[/C][C]-0.136584[/C][C]-1.159[/C][C]0.125152[/C][/ROW]
[ROW][C]37[/C][C]-0.155235[/C][C]-1.3172[/C][C]0.095972[/C][/ROW]
[ROW][C]38[/C][C]-0.178033[/C][C]-1.5107[/C][C]0.067625[/C][/ROW]
[ROW][C]39[/C][C]-0.197856[/C][C]-1.6789[/C][C]0.048757[/C][/ROW]
[ROW][C]40[/C][C]-0.210311[/C][C]-1.7845[/C][C]0.039274[/C][/ROW]
[ROW][C]41[/C][C]-0.220296[/C][C]-1.8693[/C][C]0.032826[/C][/ROW]
[ROW][C]42[/C][C]-0.229546[/C][C]-1.9478[/C][C]0.027671[/C][/ROW]
[ROW][C]43[/C][C]-0.235854[/C][C]-2.0013[/C][C]0.024565[/C][/ROW]
[ROW][C]44[/C][C]-0.240319[/C][C]-2.0392[/C][C]0.022552[/C][/ROW]
[ROW][C]45[/C][C]-0.248452[/C][C]-2.1082[/C][C]0.019248[/C][/ROW]
[ROW][C]46[/C][C]-0.259948[/C][C]-2.2057[/C][C]0.015298[/C][/ROW]
[ROW][C]47[/C][C]-0.27494[/C][C]-2.3329[/C][C]0.011224[/C][/ROW]
[ROW][C]48[/C][C]-0.290844[/C][C]-2.4679[/C][C]0.007984[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41642&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41642&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
10.9581518.13020
20.8844317.50460
30.7908316.71040
40.6974865.91840
50.6108145.18291e-06
60.5440184.61618e-06
70.4900824.15854.4e-05
80.439633.73040.000189
90.3872633.2860.000786
100.3424942.90620.002429
110.2974582.5240.006904
120.2538962.15440.017279
130.2159351.83230.035523
140.1881471.59650.057381
150.1632791.38550.085094
160.1369361.16190.124549
170.1174390.99650.161172
180.1046010.88760.188865
190.0976990.8290.20492
200.0956290.81140.209895
210.0976630.82870.205007
220.1003560.85150.198644
230.0957370.81240.209633
240.081710.69330.245165
250.0670880.56930.285476
260.0422530.35850.360498
270.0138710.11770.453316
28-0.015299-0.12980.448538
29-0.040702-0.34540.365412
30-0.059663-0.50630.307111
31-0.075513-0.64070.261861
32-0.084236-0.71480.238531
33-0.091781-0.77880.219328
34-0.103583-0.87890.191181
35-0.118626-1.00660.158756
36-0.136584-1.1590.125152
37-0.155235-1.31720.095972
38-0.178033-1.51070.067625
39-0.197856-1.67890.048757
40-0.210311-1.78450.039274
41-0.220296-1.86930.032826
42-0.229546-1.94780.027671
43-0.235854-2.00130.024565
44-0.240319-2.03920.022552
45-0.248452-2.10820.019248
46-0.259948-2.20570.015298
47-0.27494-2.33290.011224
48-0.290844-2.46790.007984







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9581518.13020
2-0.410311-3.48160.000426
3-0.163649-1.38860.084616
40.0913090.77480.220504
50.0245520.20830.417781
60.1477411.25360.107018
7-0.04535-0.38480.350757
8-0.137063-1.1630.124332
9-0.055543-0.47130.319426
100.1490551.26480.105015
11-0.064793-0.54980.292083
12-0.044389-0.37670.353769
130.0385180.32680.372369
140.0449150.38110.35212
15-0.040707-0.34540.365395
16-0.08311-0.70520.241477
170.1054080.89440.18704
180.0481140.40830.342147
190.0399360.33890.367848
20-0.023394-0.19850.421606
21-0.041352-0.35090.36335
220.0217620.18470.427007
23-0.050127-0.42530.335927
24-0.084408-0.71620.238085
250.0678060.57540.283423
26-0.13169-1.11740.133764
27-0.005596-0.04750.48113
28-0.000984-0.00830.496681
29-0.026318-0.22330.41196
300.0928070.78750.216788
31-0.052877-0.44870.327507
320.0090920.07710.469361
33-0.053-0.44970.327132
34-0.047599-0.40390.343745
35-0.006108-0.05180.479404
36-0.032752-0.27790.390937
37-0.001984-0.01680.493307
38-0.08017-0.68030.24926
390.0192330.16320.435411
400.0325610.27630.391559
41-0.048497-0.41150.34096
42-0.066477-0.56410.287227
430.024790.21030.416995
44-0.009701-0.08230.467312
45-0.08733-0.7410.230546
46-0.015235-0.12930.448752
47-0.107837-0.9150.181615
480.0441860.37490.354406

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958151 & 8.1302 & 0 \tabularnewline
2 & -0.410311 & -3.4816 & 0.000426 \tabularnewline
3 & -0.163649 & -1.3886 & 0.084616 \tabularnewline
4 & 0.091309 & 0.7748 & 0.220504 \tabularnewline
5 & 0.024552 & 0.2083 & 0.417781 \tabularnewline
6 & 0.147741 & 1.2536 & 0.107018 \tabularnewline
7 & -0.04535 & -0.3848 & 0.350757 \tabularnewline
8 & -0.137063 & -1.163 & 0.124332 \tabularnewline
9 & -0.055543 & -0.4713 & 0.319426 \tabularnewline
10 & 0.149055 & 1.2648 & 0.105015 \tabularnewline
11 & -0.064793 & -0.5498 & 0.292083 \tabularnewline
12 & -0.044389 & -0.3767 & 0.353769 \tabularnewline
13 & 0.038518 & 0.3268 & 0.372369 \tabularnewline
14 & 0.044915 & 0.3811 & 0.35212 \tabularnewline
15 & -0.040707 & -0.3454 & 0.365395 \tabularnewline
16 & -0.08311 & -0.7052 & 0.241477 \tabularnewline
17 & 0.105408 & 0.8944 & 0.18704 \tabularnewline
18 & 0.048114 & 0.4083 & 0.342147 \tabularnewline
19 & 0.039936 & 0.3389 & 0.367848 \tabularnewline
20 & -0.023394 & -0.1985 & 0.421606 \tabularnewline
21 & -0.041352 & -0.3509 & 0.36335 \tabularnewline
22 & 0.021762 & 0.1847 & 0.427007 \tabularnewline
23 & -0.050127 & -0.4253 & 0.335927 \tabularnewline
24 & -0.084408 & -0.7162 & 0.238085 \tabularnewline
25 & 0.067806 & 0.5754 & 0.283423 \tabularnewline
26 & -0.13169 & -1.1174 & 0.133764 \tabularnewline
27 & -0.005596 & -0.0475 & 0.48113 \tabularnewline
28 & -0.000984 & -0.0083 & 0.496681 \tabularnewline
29 & -0.026318 & -0.2233 & 0.41196 \tabularnewline
30 & 0.092807 & 0.7875 & 0.216788 \tabularnewline
31 & -0.052877 & -0.4487 & 0.327507 \tabularnewline
32 & 0.009092 & 0.0771 & 0.469361 \tabularnewline
33 & -0.053 & -0.4497 & 0.327132 \tabularnewline
34 & -0.047599 & -0.4039 & 0.343745 \tabularnewline
35 & -0.006108 & -0.0518 & 0.479404 \tabularnewline
36 & -0.032752 & -0.2779 & 0.390937 \tabularnewline
37 & -0.001984 & -0.0168 & 0.493307 \tabularnewline
38 & -0.08017 & -0.6803 & 0.24926 \tabularnewline
39 & 0.019233 & 0.1632 & 0.435411 \tabularnewline
40 & 0.032561 & 0.2763 & 0.391559 \tabularnewline
41 & -0.048497 & -0.4115 & 0.34096 \tabularnewline
42 & -0.066477 & -0.5641 & 0.287227 \tabularnewline
43 & 0.02479 & 0.2103 & 0.416995 \tabularnewline
44 & -0.009701 & -0.0823 & 0.467312 \tabularnewline
45 & -0.08733 & -0.741 & 0.230546 \tabularnewline
46 & -0.015235 & -0.1293 & 0.448752 \tabularnewline
47 & -0.107837 & -0.915 & 0.181615 \tabularnewline
48 & 0.044186 & 0.3749 & 0.354406 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41642&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]0.958151[/C][C]8.1302[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.410311[/C][C]-3.4816[/C][C]0.000426[/C][/ROW]
[ROW][C]3[/C][C]-0.163649[/C][C]-1.3886[/C][C]0.084616[/C][/ROW]
[ROW][C]4[/C][C]0.091309[/C][C]0.7748[/C][C]0.220504[/C][/ROW]
[ROW][C]5[/C][C]0.024552[/C][C]0.2083[/C][C]0.417781[/C][/ROW]
[ROW][C]6[/C][C]0.147741[/C][C]1.2536[/C][C]0.107018[/C][/ROW]
[ROW][C]7[/C][C]-0.04535[/C][C]-0.3848[/C][C]0.350757[/C][/ROW]
[ROW][C]8[/C][C]-0.137063[/C][C]-1.163[/C][C]0.124332[/C][/ROW]
[ROW][C]9[/C][C]-0.055543[/C][C]-0.4713[/C][C]0.319426[/C][/ROW]
[ROW][C]10[/C][C]0.149055[/C][C]1.2648[/C][C]0.105015[/C][/ROW]
[ROW][C]11[/C][C]-0.064793[/C][C]-0.5498[/C][C]0.292083[/C][/ROW]
[ROW][C]12[/C][C]-0.044389[/C][C]-0.3767[/C][C]0.353769[/C][/ROW]
[ROW][C]13[/C][C]0.038518[/C][C]0.3268[/C][C]0.372369[/C][/ROW]
[ROW][C]14[/C][C]0.044915[/C][C]0.3811[/C][C]0.35212[/C][/ROW]
[ROW][C]15[/C][C]-0.040707[/C][C]-0.3454[/C][C]0.365395[/C][/ROW]
[ROW][C]16[/C][C]-0.08311[/C][C]-0.7052[/C][C]0.241477[/C][/ROW]
[ROW][C]17[/C][C]0.105408[/C][C]0.8944[/C][C]0.18704[/C][/ROW]
[ROW][C]18[/C][C]0.048114[/C][C]0.4083[/C][C]0.342147[/C][/ROW]
[ROW][C]19[/C][C]0.039936[/C][C]0.3389[/C][C]0.367848[/C][/ROW]
[ROW][C]20[/C][C]-0.023394[/C][C]-0.1985[/C][C]0.421606[/C][/ROW]
[ROW][C]21[/C][C]-0.041352[/C][C]-0.3509[/C][C]0.36335[/C][/ROW]
[ROW][C]22[/C][C]0.021762[/C][C]0.1847[/C][C]0.427007[/C][/ROW]
[ROW][C]23[/C][C]-0.050127[/C][C]-0.4253[/C][C]0.335927[/C][/ROW]
[ROW][C]24[/C][C]-0.084408[/C][C]-0.7162[/C][C]0.238085[/C][/ROW]
[ROW][C]25[/C][C]0.067806[/C][C]0.5754[/C][C]0.283423[/C][/ROW]
[ROW][C]26[/C][C]-0.13169[/C][C]-1.1174[/C][C]0.133764[/C][/ROW]
[ROW][C]27[/C][C]-0.005596[/C][C]-0.0475[/C][C]0.48113[/C][/ROW]
[ROW][C]28[/C][C]-0.000984[/C][C]-0.0083[/C][C]0.496681[/C][/ROW]
[ROW][C]29[/C][C]-0.026318[/C][C]-0.2233[/C][C]0.41196[/C][/ROW]
[ROW][C]30[/C][C]0.092807[/C][C]0.7875[/C][C]0.216788[/C][/ROW]
[ROW][C]31[/C][C]-0.052877[/C][C]-0.4487[/C][C]0.327507[/C][/ROW]
[ROW][C]32[/C][C]0.009092[/C][C]0.0771[/C][C]0.469361[/C][/ROW]
[ROW][C]33[/C][C]-0.053[/C][C]-0.4497[/C][C]0.327132[/C][/ROW]
[ROW][C]34[/C][C]-0.047599[/C][C]-0.4039[/C][C]0.343745[/C][/ROW]
[ROW][C]35[/C][C]-0.006108[/C][C]-0.0518[/C][C]0.479404[/C][/ROW]
[ROW][C]36[/C][C]-0.032752[/C][C]-0.2779[/C][C]0.390937[/C][/ROW]
[ROW][C]37[/C][C]-0.001984[/C][C]-0.0168[/C][C]0.493307[/C][/ROW]
[ROW][C]38[/C][C]-0.08017[/C][C]-0.6803[/C][C]0.24926[/C][/ROW]
[ROW][C]39[/C][C]0.019233[/C][C]0.1632[/C][C]0.435411[/C][/ROW]
[ROW][C]40[/C][C]0.032561[/C][C]0.2763[/C][C]0.391559[/C][/ROW]
[ROW][C]41[/C][C]-0.048497[/C][C]-0.4115[/C][C]0.34096[/C][/ROW]
[ROW][C]42[/C][C]-0.066477[/C][C]-0.5641[/C][C]0.287227[/C][/ROW]
[ROW][C]43[/C][C]0.02479[/C][C]0.2103[/C][C]0.416995[/C][/ROW]
[ROW][C]44[/C][C]-0.009701[/C][C]-0.0823[/C][C]0.467312[/C][/ROW]
[ROW][C]45[/C][C]-0.08733[/C][C]-0.741[/C][C]0.230546[/C][/ROW]
[ROW][C]46[/C][C]-0.015235[/C][C]-0.1293[/C][C]0.448752[/C][/ROW]
[ROW][C]47[/C][C]-0.107837[/C][C]-0.915[/C][C]0.181615[/C][/ROW]
[ROW][C]48[/C][C]0.044186[/C][C]0.3749[/C][C]0.354406[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41642&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41642&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
10.9581518.13020
2-0.410311-3.48160.000426
3-0.163649-1.38860.084616
40.0913090.77480.220504
50.0245520.20830.417781
60.1477411.25360.107018
7-0.04535-0.38480.350757
8-0.137063-1.1630.124332
9-0.055543-0.47130.319426
100.1490551.26480.105015
11-0.064793-0.54980.292083
12-0.044389-0.37670.353769
130.0385180.32680.372369
140.0449150.38110.35212
15-0.040707-0.34540.365395
16-0.08311-0.70520.241477
170.1054080.89440.18704
180.0481140.40830.342147
190.0399360.33890.367848
20-0.023394-0.19850.421606
21-0.041352-0.35090.36335
220.0217620.18470.427007
23-0.050127-0.42530.335927
24-0.084408-0.71620.238085
250.0678060.57540.283423
26-0.13169-1.11740.133764
27-0.005596-0.04750.48113
28-0.000984-0.00830.496681
29-0.026318-0.22330.41196
300.0928070.78750.216788
31-0.052877-0.44870.327507
320.0090920.07710.469361
33-0.053-0.44970.327132
34-0.047599-0.40390.343745
35-0.006108-0.05180.479404
36-0.032752-0.27790.390937
37-0.001984-0.01680.493307
38-0.08017-0.68030.24926
390.0192330.16320.435411
400.0325610.27630.391559
41-0.048497-0.41150.34096
42-0.066477-0.56410.287227
430.024790.21030.416995
44-0.009701-0.08230.467312
45-0.08733-0.7410.230546
46-0.015235-0.12930.448752
47-0.107837-0.9150.181615
480.0441860.37490.354406



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