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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, 14 May 2009 10:59:24 -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/May/14/t1242321080ubife425nq2sje2.htm/, Retrieved Sun, 28 Apr 2024 20:28:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40050, Retrieved Sun, 28 Apr 2024 20:28:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Duncan huysmans o...] [2009-05-14 16:59:24] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
49.1
52.7
55.1
60.4
57.5
55.9
62.6
61.3
67.1
68.6
74.8
76.9
85.7
86.5
90.8
89.7
96.3
107.5
109.2
100.2
116.8
120.1
123.3
130.2
131.4
125.6
124.5
134.3
135.2
151.8
146.4
140.0
127.8
148.0
165.9
165.5
179.9
190.0
189.8
190.9
203.6
183.5
169.3
144.2
141.5
154.3
169.5
194.0
203.2
192.9
209.4
227.2
263.7
297.8
337.1
361.3
355.2
312.6
309.9
323.7
324.1
355.3
383.4
395.1
412.8
407.0
438.0
446.1
452.5
447.3
475.9
487.7




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=40050&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=40050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40050&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
10.9451238.01960
20.8870187.52660
30.8331837.06980
40.7777436.59940
50.7234946.13910
60.6713955.6970
70.6262075.31351e-06
80.5756384.88453e-06
90.526324.4661.4e-05
100.4784844.06016.2e-05
110.4386833.72240.000194
120.4058563.44380.00048
130.3728453.16370.001141
140.3420292.90220.002457
150.3076782.61070.005493
160.2590292.19790.015585
170.2051311.74060.043013
180.1555871.32020.095475
190.1138520.96610.168623
200.077390.65670.256742
210.0522470.44330.329428
220.0324670.27550.391865
230.0174410.1480.44138
240.001140.00970.496155
25-0.013275-0.11260.455313
26-0.024053-0.20410.419426
27-0.033046-0.28040.389987
28-0.038133-0.32360.373603
29-0.044321-0.37610.353984
30-0.054256-0.46040.323317
31-0.069926-0.59330.277405
32-0.092496-0.78490.217558
33-0.114946-0.97530.166327
34-0.136125-1.15510.125943
35-0.156402-1.32710.094332
36-0.175012-1.4850.070951
37-0.188421-1.59880.057121
38-0.202039-1.71440.045382
39-0.212363-1.8020.037869
40-0.218277-1.85210.034052
41-0.225588-1.91420.029786
42-0.238392-2.02280.023403
43-0.255639-2.16920.016686
44-0.272821-2.3150.011735
45-0.291539-2.47380.007864
46-0.306543-2.60110.005636
47-0.320855-2.72250.00406
48-0.333946-2.83360.002984

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.945123 & 8.0196 & 0 \tabularnewline
2 & 0.887018 & 7.5266 & 0 \tabularnewline
3 & 0.833183 & 7.0698 & 0 \tabularnewline
4 & 0.777743 & 6.5994 & 0 \tabularnewline
5 & 0.723494 & 6.1391 & 0 \tabularnewline
6 & 0.671395 & 5.697 & 0 \tabularnewline
7 & 0.626207 & 5.3135 & 1e-06 \tabularnewline
8 & 0.575638 & 4.8845 & 3e-06 \tabularnewline
9 & 0.52632 & 4.466 & 1.4e-05 \tabularnewline
10 & 0.478484 & 4.0601 & 6.2e-05 \tabularnewline
11 & 0.438683 & 3.7224 & 0.000194 \tabularnewline
12 & 0.405856 & 3.4438 & 0.00048 \tabularnewline
13 & 0.372845 & 3.1637 & 0.001141 \tabularnewline
14 & 0.342029 & 2.9022 & 0.002457 \tabularnewline
15 & 0.307678 & 2.6107 & 0.005493 \tabularnewline
16 & 0.259029 & 2.1979 & 0.015585 \tabularnewline
17 & 0.205131 & 1.7406 & 0.043013 \tabularnewline
18 & 0.155587 & 1.3202 & 0.095475 \tabularnewline
19 & 0.113852 & 0.9661 & 0.168623 \tabularnewline
20 & 0.07739 & 0.6567 & 0.256742 \tabularnewline
21 & 0.052247 & 0.4433 & 0.329428 \tabularnewline
22 & 0.032467 & 0.2755 & 0.391865 \tabularnewline
23 & 0.017441 & 0.148 & 0.44138 \tabularnewline
24 & 0.00114 & 0.0097 & 0.496155 \tabularnewline
25 & -0.013275 & -0.1126 & 0.455313 \tabularnewline
26 & -0.024053 & -0.2041 & 0.419426 \tabularnewline
27 & -0.033046 & -0.2804 & 0.389987 \tabularnewline
28 & -0.038133 & -0.3236 & 0.373603 \tabularnewline
29 & -0.044321 & -0.3761 & 0.353984 \tabularnewline
30 & -0.054256 & -0.4604 & 0.323317 \tabularnewline
31 & -0.069926 & -0.5933 & 0.277405 \tabularnewline
32 & -0.092496 & -0.7849 & 0.217558 \tabularnewline
33 & -0.114946 & -0.9753 & 0.166327 \tabularnewline
34 & -0.136125 & -1.1551 & 0.125943 \tabularnewline
35 & -0.156402 & -1.3271 & 0.094332 \tabularnewline
36 & -0.175012 & -1.485 & 0.070951 \tabularnewline
37 & -0.188421 & -1.5988 & 0.057121 \tabularnewline
38 & -0.202039 & -1.7144 & 0.045382 \tabularnewline
39 & -0.212363 & -1.802 & 0.037869 \tabularnewline
40 & -0.218277 & -1.8521 & 0.034052 \tabularnewline
41 & -0.225588 & -1.9142 & 0.029786 \tabularnewline
42 & -0.238392 & -2.0228 & 0.023403 \tabularnewline
43 & -0.255639 & -2.1692 & 0.016686 \tabularnewline
44 & -0.272821 & -2.315 & 0.011735 \tabularnewline
45 & -0.291539 & -2.4738 & 0.007864 \tabularnewline
46 & -0.306543 & -2.6011 & 0.005636 \tabularnewline
47 & -0.320855 & -2.7225 & 0.00406 \tabularnewline
48 & -0.333946 & -2.8336 & 0.002984 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40050&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]0.945123[/C][C]8.0196[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.887018[/C][C]7.5266[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.833183[/C][C]7.0698[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.777743[/C][C]6.5994[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.723494[/C][C]6.1391[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.671395[/C][C]5.697[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.626207[/C][C]5.3135[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.575638[/C][C]4.8845[/C][C]3e-06[/C][/ROW]
[ROW][C]9[/C][C]0.52632[/C][C]4.466[/C][C]1.4e-05[/C][/ROW]
[ROW][C]10[/C][C]0.478484[/C][C]4.0601[/C][C]6.2e-05[/C][/ROW]
[ROW][C]11[/C][C]0.438683[/C][C]3.7224[/C][C]0.000194[/C][/ROW]
[ROW][C]12[/C][C]0.405856[/C][C]3.4438[/C][C]0.00048[/C][/ROW]
[ROW][C]13[/C][C]0.372845[/C][C]3.1637[/C][C]0.001141[/C][/ROW]
[ROW][C]14[/C][C]0.342029[/C][C]2.9022[/C][C]0.002457[/C][/ROW]
[ROW][C]15[/C][C]0.307678[/C][C]2.6107[/C][C]0.005493[/C][/ROW]
[ROW][C]16[/C][C]0.259029[/C][C]2.1979[/C][C]0.015585[/C][/ROW]
[ROW][C]17[/C][C]0.205131[/C][C]1.7406[/C][C]0.043013[/C][/ROW]
[ROW][C]18[/C][C]0.155587[/C][C]1.3202[/C][C]0.095475[/C][/ROW]
[ROW][C]19[/C][C]0.113852[/C][C]0.9661[/C][C]0.168623[/C][/ROW]
[ROW][C]20[/C][C]0.07739[/C][C]0.6567[/C][C]0.256742[/C][/ROW]
[ROW][C]21[/C][C]0.052247[/C][C]0.4433[/C][C]0.329428[/C][/ROW]
[ROW][C]22[/C][C]0.032467[/C][C]0.2755[/C][C]0.391865[/C][/ROW]
[ROW][C]23[/C][C]0.017441[/C][C]0.148[/C][C]0.44138[/C][/ROW]
[ROW][C]24[/C][C]0.00114[/C][C]0.0097[/C][C]0.496155[/C][/ROW]
[ROW][C]25[/C][C]-0.013275[/C][C]-0.1126[/C][C]0.455313[/C][/ROW]
[ROW][C]26[/C][C]-0.024053[/C][C]-0.2041[/C][C]0.419426[/C][/ROW]
[ROW][C]27[/C][C]-0.033046[/C][C]-0.2804[/C][C]0.389987[/C][/ROW]
[ROW][C]28[/C][C]-0.038133[/C][C]-0.3236[/C][C]0.373603[/C][/ROW]
[ROW][C]29[/C][C]-0.044321[/C][C]-0.3761[/C][C]0.353984[/C][/ROW]
[ROW][C]30[/C][C]-0.054256[/C][C]-0.4604[/C][C]0.323317[/C][/ROW]
[ROW][C]31[/C][C]-0.069926[/C][C]-0.5933[/C][C]0.277405[/C][/ROW]
[ROW][C]32[/C][C]-0.092496[/C][C]-0.7849[/C][C]0.217558[/C][/ROW]
[ROW][C]33[/C][C]-0.114946[/C][C]-0.9753[/C][C]0.166327[/C][/ROW]
[ROW][C]34[/C][C]-0.136125[/C][C]-1.1551[/C][C]0.125943[/C][/ROW]
[ROW][C]35[/C][C]-0.156402[/C][C]-1.3271[/C][C]0.094332[/C][/ROW]
[ROW][C]36[/C][C]-0.175012[/C][C]-1.485[/C][C]0.070951[/C][/ROW]
[ROW][C]37[/C][C]-0.188421[/C][C]-1.5988[/C][C]0.057121[/C][/ROW]
[ROW][C]38[/C][C]-0.202039[/C][C]-1.7144[/C][C]0.045382[/C][/ROW]
[ROW][C]39[/C][C]-0.212363[/C][C]-1.802[/C][C]0.037869[/C][/ROW]
[ROW][C]40[/C][C]-0.218277[/C][C]-1.8521[/C][C]0.034052[/C][/ROW]
[ROW][C]41[/C][C]-0.225588[/C][C]-1.9142[/C][C]0.029786[/C][/ROW]
[ROW][C]42[/C][C]-0.238392[/C][C]-2.0228[/C][C]0.023403[/C][/ROW]
[ROW][C]43[/C][C]-0.255639[/C][C]-2.1692[/C][C]0.016686[/C][/ROW]
[ROW][C]44[/C][C]-0.272821[/C][C]-2.315[/C][C]0.011735[/C][/ROW]
[ROW][C]45[/C][C]-0.291539[/C][C]-2.4738[/C][C]0.007864[/C][/ROW]
[ROW][C]46[/C][C]-0.306543[/C][C]-2.6011[/C][C]0.005636[/C][/ROW]
[ROW][C]47[/C][C]-0.320855[/C][C]-2.7225[/C][C]0.00406[/C][/ROW]
[ROW][C]48[/C][C]-0.333946[/C][C]-2.8336[/C][C]0.002984[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40050&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
10.9451238.01960
20.8870187.52660
30.8331837.06980
40.7777436.59940
50.7234946.13910
60.6713955.6970
70.6262075.31351e-06
80.5756384.88453e-06
90.526324.4661.4e-05
100.4784844.06016.2e-05
110.4386833.72240.000194
120.4058563.44380.00048
130.3728453.16370.001141
140.3420292.90220.002457
150.3076782.61070.005493
160.2590292.19790.015585
170.2051311.74060.043013
180.1555871.32020.095475
190.1138520.96610.168623
200.077390.65670.256742
210.0522470.44330.329428
220.0324670.27550.391865
230.0174410.1480.44138
240.001140.00970.496155
25-0.013275-0.11260.455313
26-0.024053-0.20410.419426
27-0.033046-0.28040.389987
28-0.038133-0.32360.373603
29-0.044321-0.37610.353984
30-0.054256-0.46040.323317
31-0.069926-0.59330.277405
32-0.092496-0.78490.217558
33-0.114946-0.97530.166327
34-0.136125-1.15510.125943
35-0.156402-1.32710.094332
36-0.175012-1.4850.070951
37-0.188421-1.59880.057121
38-0.202039-1.71440.045382
39-0.212363-1.8020.037869
40-0.218277-1.85210.034052
41-0.225588-1.91420.029786
42-0.238392-2.02280.023403
43-0.255639-2.16920.016686
44-0.272821-2.3150.011735
45-0.291539-2.47380.007864
46-0.306543-2.60110.005636
47-0.320855-2.72250.00406
48-0.333946-2.83360.002984







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9451238.01960
2-0.058456-0.4960.310697
30.0101910.08650.465665
4-0.046845-0.39750.34609
5-0.017445-0.1480.441368
6-0.013235-0.11230.455447
70.033930.28790.387124
8-0.081966-0.69550.244488
9-0.01239-0.10510.45828
10-0.025156-0.21350.415789
110.0479660.4070.342606
120.033320.28270.389096
13-0.022884-0.19420.423293
14-0.009246-0.07850.468842
15-0.056083-0.47590.317799
16-0.157803-1.3390.09239
17-0.074163-0.62930.265573
18-0.006939-0.05890.476604
190.0307880.26120.397324
200.0180450.15310.439368
210.0748590.63520.263657
220.0167730.14230.443611
230.0381430.32370.37357
24-0.0315-0.26730.395007
25-0.003343-0.02840.488723
26-0.015555-0.1320.44768
27-0.016019-0.13590.446129
280.0120910.10260.459283
29-0.014267-0.12110.451991
30-0.034919-0.29630.383927
31-0.030317-0.25720.398861
32-0.060783-0.51580.303799
33-0.023077-0.19580.422655
34-0.030944-0.26260.396816
35-0.04185-0.35510.361773
36-0.037688-0.31980.375026
370.0078990.0670.473373
38-0.031694-0.26890.394377
390.033560.28480.388319
400.0232580.19730.422055
41-0.027605-0.23420.407734
42-0.081887-0.69480.244698
43-0.075162-0.63780.262822
44-0.038365-0.32550.37286
45-0.027169-0.23050.409163
460.0289360.24550.403371
470.0025350.02150.49145
48-0.001722-0.01460.49419

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.945123 & 8.0196 & 0 \tabularnewline
2 & -0.058456 & -0.496 & 0.310697 \tabularnewline
3 & 0.010191 & 0.0865 & 0.465665 \tabularnewline
4 & -0.046845 & -0.3975 & 0.34609 \tabularnewline
5 & -0.017445 & -0.148 & 0.441368 \tabularnewline
6 & -0.013235 & -0.1123 & 0.455447 \tabularnewline
7 & 0.03393 & 0.2879 & 0.387124 \tabularnewline
8 & -0.081966 & -0.6955 & 0.244488 \tabularnewline
9 & -0.01239 & -0.1051 & 0.45828 \tabularnewline
10 & -0.025156 & -0.2135 & 0.415789 \tabularnewline
11 & 0.047966 & 0.407 & 0.342606 \tabularnewline
12 & 0.03332 & 0.2827 & 0.389096 \tabularnewline
13 & -0.022884 & -0.1942 & 0.423293 \tabularnewline
14 & -0.009246 & -0.0785 & 0.468842 \tabularnewline
15 & -0.056083 & -0.4759 & 0.317799 \tabularnewline
16 & -0.157803 & -1.339 & 0.09239 \tabularnewline
17 & -0.074163 & -0.6293 & 0.265573 \tabularnewline
18 & -0.006939 & -0.0589 & 0.476604 \tabularnewline
19 & 0.030788 & 0.2612 & 0.397324 \tabularnewline
20 & 0.018045 & 0.1531 & 0.439368 \tabularnewline
21 & 0.074859 & 0.6352 & 0.263657 \tabularnewline
22 & 0.016773 & 0.1423 & 0.443611 \tabularnewline
23 & 0.038143 & 0.3237 & 0.37357 \tabularnewline
24 & -0.0315 & -0.2673 & 0.395007 \tabularnewline
25 & -0.003343 & -0.0284 & 0.488723 \tabularnewline
26 & -0.015555 & -0.132 & 0.44768 \tabularnewline
27 & -0.016019 & -0.1359 & 0.446129 \tabularnewline
28 & 0.012091 & 0.1026 & 0.459283 \tabularnewline
29 & -0.014267 & -0.1211 & 0.451991 \tabularnewline
30 & -0.034919 & -0.2963 & 0.383927 \tabularnewline
31 & -0.030317 & -0.2572 & 0.398861 \tabularnewline
32 & -0.060783 & -0.5158 & 0.303799 \tabularnewline
33 & -0.023077 & -0.1958 & 0.422655 \tabularnewline
34 & -0.030944 & -0.2626 & 0.396816 \tabularnewline
35 & -0.04185 & -0.3551 & 0.361773 \tabularnewline
36 & -0.037688 & -0.3198 & 0.375026 \tabularnewline
37 & 0.007899 & 0.067 & 0.473373 \tabularnewline
38 & -0.031694 & -0.2689 & 0.394377 \tabularnewline
39 & 0.03356 & 0.2848 & 0.388319 \tabularnewline
40 & 0.023258 & 0.1973 & 0.422055 \tabularnewline
41 & -0.027605 & -0.2342 & 0.407734 \tabularnewline
42 & -0.081887 & -0.6948 & 0.244698 \tabularnewline
43 & -0.075162 & -0.6378 & 0.262822 \tabularnewline
44 & -0.038365 & -0.3255 & 0.37286 \tabularnewline
45 & -0.027169 & -0.2305 & 0.409163 \tabularnewline
46 & 0.028936 & 0.2455 & 0.403371 \tabularnewline
47 & 0.002535 & 0.0215 & 0.49145 \tabularnewline
48 & -0.001722 & -0.0146 & 0.49419 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40050&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]0.945123[/C][C]8.0196[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.058456[/C][C]-0.496[/C][C]0.310697[/C][/ROW]
[ROW][C]3[/C][C]0.010191[/C][C]0.0865[/C][C]0.465665[/C][/ROW]
[ROW][C]4[/C][C]-0.046845[/C][C]-0.3975[/C][C]0.34609[/C][/ROW]
[ROW][C]5[/C][C]-0.017445[/C][C]-0.148[/C][C]0.441368[/C][/ROW]
[ROW][C]6[/C][C]-0.013235[/C][C]-0.1123[/C][C]0.455447[/C][/ROW]
[ROW][C]7[/C][C]0.03393[/C][C]0.2879[/C][C]0.387124[/C][/ROW]
[ROW][C]8[/C][C]-0.081966[/C][C]-0.6955[/C][C]0.244488[/C][/ROW]
[ROW][C]9[/C][C]-0.01239[/C][C]-0.1051[/C][C]0.45828[/C][/ROW]
[ROW][C]10[/C][C]-0.025156[/C][C]-0.2135[/C][C]0.415789[/C][/ROW]
[ROW][C]11[/C][C]0.047966[/C][C]0.407[/C][C]0.342606[/C][/ROW]
[ROW][C]12[/C][C]0.03332[/C][C]0.2827[/C][C]0.389096[/C][/ROW]
[ROW][C]13[/C][C]-0.022884[/C][C]-0.1942[/C][C]0.423293[/C][/ROW]
[ROW][C]14[/C][C]-0.009246[/C][C]-0.0785[/C][C]0.468842[/C][/ROW]
[ROW][C]15[/C][C]-0.056083[/C][C]-0.4759[/C][C]0.317799[/C][/ROW]
[ROW][C]16[/C][C]-0.157803[/C][C]-1.339[/C][C]0.09239[/C][/ROW]
[ROW][C]17[/C][C]-0.074163[/C][C]-0.6293[/C][C]0.265573[/C][/ROW]
[ROW][C]18[/C][C]-0.006939[/C][C]-0.0589[/C][C]0.476604[/C][/ROW]
[ROW][C]19[/C][C]0.030788[/C][C]0.2612[/C][C]0.397324[/C][/ROW]
[ROW][C]20[/C][C]0.018045[/C][C]0.1531[/C][C]0.439368[/C][/ROW]
[ROW][C]21[/C][C]0.074859[/C][C]0.6352[/C][C]0.263657[/C][/ROW]
[ROW][C]22[/C][C]0.016773[/C][C]0.1423[/C][C]0.443611[/C][/ROW]
[ROW][C]23[/C][C]0.038143[/C][C]0.3237[/C][C]0.37357[/C][/ROW]
[ROW][C]24[/C][C]-0.0315[/C][C]-0.2673[/C][C]0.395007[/C][/ROW]
[ROW][C]25[/C][C]-0.003343[/C][C]-0.0284[/C][C]0.488723[/C][/ROW]
[ROW][C]26[/C][C]-0.015555[/C][C]-0.132[/C][C]0.44768[/C][/ROW]
[ROW][C]27[/C][C]-0.016019[/C][C]-0.1359[/C][C]0.446129[/C][/ROW]
[ROW][C]28[/C][C]0.012091[/C][C]0.1026[/C][C]0.459283[/C][/ROW]
[ROW][C]29[/C][C]-0.014267[/C][C]-0.1211[/C][C]0.451991[/C][/ROW]
[ROW][C]30[/C][C]-0.034919[/C][C]-0.2963[/C][C]0.383927[/C][/ROW]
[ROW][C]31[/C][C]-0.030317[/C][C]-0.2572[/C][C]0.398861[/C][/ROW]
[ROW][C]32[/C][C]-0.060783[/C][C]-0.5158[/C][C]0.303799[/C][/ROW]
[ROW][C]33[/C][C]-0.023077[/C][C]-0.1958[/C][C]0.422655[/C][/ROW]
[ROW][C]34[/C][C]-0.030944[/C][C]-0.2626[/C][C]0.396816[/C][/ROW]
[ROW][C]35[/C][C]-0.04185[/C][C]-0.3551[/C][C]0.361773[/C][/ROW]
[ROW][C]36[/C][C]-0.037688[/C][C]-0.3198[/C][C]0.375026[/C][/ROW]
[ROW][C]37[/C][C]0.007899[/C][C]0.067[/C][C]0.473373[/C][/ROW]
[ROW][C]38[/C][C]-0.031694[/C][C]-0.2689[/C][C]0.394377[/C][/ROW]
[ROW][C]39[/C][C]0.03356[/C][C]0.2848[/C][C]0.388319[/C][/ROW]
[ROW][C]40[/C][C]0.023258[/C][C]0.1973[/C][C]0.422055[/C][/ROW]
[ROW][C]41[/C][C]-0.027605[/C][C]-0.2342[/C][C]0.407734[/C][/ROW]
[ROW][C]42[/C][C]-0.081887[/C][C]-0.6948[/C][C]0.244698[/C][/ROW]
[ROW][C]43[/C][C]-0.075162[/C][C]-0.6378[/C][C]0.262822[/C][/ROW]
[ROW][C]44[/C][C]-0.038365[/C][C]-0.3255[/C][C]0.37286[/C][/ROW]
[ROW][C]45[/C][C]-0.027169[/C][C]-0.2305[/C][C]0.409163[/C][/ROW]
[ROW][C]46[/C][C]0.028936[/C][C]0.2455[/C][C]0.403371[/C][/ROW]
[ROW][C]47[/C][C]0.002535[/C][C]0.0215[/C][C]0.49145[/C][/ROW]
[ROW][C]48[/C][C]-0.001722[/C][C]-0.0146[/C][C]0.49419[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40050&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40050&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
10.9451238.01960
2-0.058456-0.4960.310697
30.0101910.08650.465665
4-0.046845-0.39750.34609
5-0.017445-0.1480.441368
6-0.013235-0.11230.455447
70.033930.28790.387124
8-0.081966-0.69550.244488
9-0.01239-0.10510.45828
10-0.025156-0.21350.415789
110.0479660.4070.342606
120.033320.28270.389096
13-0.022884-0.19420.423293
14-0.009246-0.07850.468842
15-0.056083-0.47590.317799
16-0.157803-1.3390.09239
17-0.074163-0.62930.265573
18-0.006939-0.05890.476604
190.0307880.26120.397324
200.0180450.15310.439368
210.0748590.63520.263657
220.0167730.14230.443611
230.0381430.32370.37357
24-0.0315-0.26730.395007
25-0.003343-0.02840.488723
26-0.015555-0.1320.44768
27-0.016019-0.13590.446129
280.0120910.10260.459283
29-0.014267-0.12110.451991
30-0.034919-0.29630.383927
31-0.030317-0.25720.398861
32-0.060783-0.51580.303799
33-0.023077-0.19580.422655
34-0.030944-0.26260.396816
35-0.04185-0.35510.361773
36-0.037688-0.31980.375026
370.0078990.0670.473373
38-0.031694-0.26890.394377
390.033560.28480.388319
400.0232580.19730.422055
41-0.027605-0.23420.407734
42-0.081887-0.69480.244698
43-0.075162-0.63780.262822
44-0.038365-0.32550.37286
45-0.027169-0.23050.409163
460.0289360.24550.403371
470.0025350.02150.49145
48-0.001722-0.01460.49419



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