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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, 21 May 2009 09:07:24 -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/21/t1242918472nhnnl9r2x4gi9q1.htm/, Retrieved Tue, 07 May 2024 02:31:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40275, Retrieved Tue, 07 May 2024 02:31:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [] [2009-04-30 09:56:17] [0be9f7aaf8a087240b9cbd0268550351]
-   P     [(Partial) Autocorrelation Function] [] [2009-05-21 15:07:24] [06deb41b065a40f2c80cc8da489fa5fe] [Current]
-           [(Partial) Autocorrelation Function] [] [2009-05-21 15:10:49] [0be9f7aaf8a087240b9cbd0268550351]
- RM D      [Variability] [] [2009-05-21 15:45:59] [0be9f7aaf8a087240b9cbd0268550351]
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Dataseries X:
4.43
4.43
4.44
4.44
4.44
4.45
4.47
4.48
4.48
4.5
4.52
4.52
4.53
4.53
4.63
4.66
4.67
4.68
4.69
4.69
4.7
4.71
4.72
4.72
4.72
4.73
4.74
4.76
4.81
4.82
4.83
4.83
4.84
4.89
4.92
4.95
4.95
5.01
5.05
5.08
5.11
5.14
5.17
5.18
5.2
5.22
5.24
5.28
5.29
5.33
5.4
5.43
5.46
5.46
5.46
5.47
5.49
5.5
5.54
5.55
5.55
5.56
5.6
5.61
5.63
5.64
5.66
5.67
5.69
5.77
5.77
5.78
5.8
5.82
5.85
5.87
5.88
5.9
5.91
5.94
5.97
5.98
6
6.01
6.02




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40275&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40275&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40275&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9699088.94210
20.9386948.65430
30.906858.36070
40.8744558.06210
50.8410657.75420
60.807697.44650
70.7748117.14340
80.741276.83420
90.7071566.51970
100.6728956.20380
110.6388215.88960
120.6045555.57370
130.5700275.25541e-06
140.5349254.93182e-06
150.5023344.63136e-06
160.4697164.33062e-05
170.4394934.05195.6e-05
180.4092393.7730.000149
190.3785953.49050.000383
200.3473873.20280.000958
210.3158762.91220.002291
220.2844162.62220.005176
230.2525382.32830.011136
240.2209372.03690.022384
250.1885351.73820.042898
260.155381.43250.077829
270.1221031.12570.131723
280.0900240.830.204439
290.0589460.54350.294121
300.0279860.2580.398507
31-0.003281-0.03020.487971
32-0.03554-0.32770.371987
33-0.068506-0.63160.264672
34-0.099523-0.91760.180724
35-0.129249-1.19160.118365
36-0.156289-1.44090.076642
37-0.182867-1.6860.047736
38-0.207816-1.9160.029365
39-0.230572-2.12580.018212
40-0.252106-2.32430.011248
41-0.27254-2.51270.006935
42-0.291988-2.6920.004276
43-0.310718-2.86470.002629
44-0.328509-3.02870.001626
45-0.345134-3.1820.001022
46-0.360417-3.32290.000658
47-0.374318-3.4510.000436
48-0.385823-3.55710.000308

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.969908 & 8.9421 & 0 \tabularnewline
2 & 0.938694 & 8.6543 & 0 \tabularnewline
3 & 0.90685 & 8.3607 & 0 \tabularnewline
4 & 0.874455 & 8.0621 & 0 \tabularnewline
5 & 0.841065 & 7.7542 & 0 \tabularnewline
6 & 0.80769 & 7.4465 & 0 \tabularnewline
7 & 0.774811 & 7.1434 & 0 \tabularnewline
8 & 0.74127 & 6.8342 & 0 \tabularnewline
9 & 0.707156 & 6.5197 & 0 \tabularnewline
10 & 0.672895 & 6.2038 & 0 \tabularnewline
11 & 0.638821 & 5.8896 & 0 \tabularnewline
12 & 0.604555 & 5.5737 & 0 \tabularnewline
13 & 0.570027 & 5.2554 & 1e-06 \tabularnewline
14 & 0.534925 & 4.9318 & 2e-06 \tabularnewline
15 & 0.502334 & 4.6313 & 6e-06 \tabularnewline
16 & 0.469716 & 4.3306 & 2e-05 \tabularnewline
17 & 0.439493 & 4.0519 & 5.6e-05 \tabularnewline
18 & 0.409239 & 3.773 & 0.000149 \tabularnewline
19 & 0.378595 & 3.4905 & 0.000383 \tabularnewline
20 & 0.347387 & 3.2028 & 0.000958 \tabularnewline
21 & 0.315876 & 2.9122 & 0.002291 \tabularnewline
22 & 0.284416 & 2.6222 & 0.005176 \tabularnewline
23 & 0.252538 & 2.3283 & 0.011136 \tabularnewline
24 & 0.220937 & 2.0369 & 0.022384 \tabularnewline
25 & 0.188535 & 1.7382 & 0.042898 \tabularnewline
26 & 0.15538 & 1.4325 & 0.077829 \tabularnewline
27 & 0.122103 & 1.1257 & 0.131723 \tabularnewline
28 & 0.090024 & 0.83 & 0.204439 \tabularnewline
29 & 0.058946 & 0.5435 & 0.294121 \tabularnewline
30 & 0.027986 & 0.258 & 0.398507 \tabularnewline
31 & -0.003281 & -0.0302 & 0.487971 \tabularnewline
32 & -0.03554 & -0.3277 & 0.371987 \tabularnewline
33 & -0.068506 & -0.6316 & 0.264672 \tabularnewline
34 & -0.099523 & -0.9176 & 0.180724 \tabularnewline
35 & -0.129249 & -1.1916 & 0.118365 \tabularnewline
36 & -0.156289 & -1.4409 & 0.076642 \tabularnewline
37 & -0.182867 & -1.686 & 0.047736 \tabularnewline
38 & -0.207816 & -1.916 & 0.029365 \tabularnewline
39 & -0.230572 & -2.1258 & 0.018212 \tabularnewline
40 & -0.252106 & -2.3243 & 0.011248 \tabularnewline
41 & -0.27254 & -2.5127 & 0.006935 \tabularnewline
42 & -0.291988 & -2.692 & 0.004276 \tabularnewline
43 & -0.310718 & -2.8647 & 0.002629 \tabularnewline
44 & -0.328509 & -3.0287 & 0.001626 \tabularnewline
45 & -0.345134 & -3.182 & 0.001022 \tabularnewline
46 & -0.360417 & -3.3229 & 0.000658 \tabularnewline
47 & -0.374318 & -3.451 & 0.000436 \tabularnewline
48 & -0.385823 & -3.5571 & 0.000308 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40275&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]0.969908[/C][C]8.9421[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.938694[/C][C]8.6543[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.90685[/C][C]8.3607[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.874455[/C][C]8.0621[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.841065[/C][C]7.7542[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.80769[/C][C]7.4465[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.774811[/C][C]7.1434[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.74127[/C][C]6.8342[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.707156[/C][C]6.5197[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.672895[/C][C]6.2038[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.638821[/C][C]5.8896[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.604555[/C][C]5.5737[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.570027[/C][C]5.2554[/C][C]1e-06[/C][/ROW]
[ROW][C]14[/C][C]0.534925[/C][C]4.9318[/C][C]2e-06[/C][/ROW]
[ROW][C]15[/C][C]0.502334[/C][C]4.6313[/C][C]6e-06[/C][/ROW]
[ROW][C]16[/C][C]0.469716[/C][C]4.3306[/C][C]2e-05[/C][/ROW]
[ROW][C]17[/C][C]0.439493[/C][C]4.0519[/C][C]5.6e-05[/C][/ROW]
[ROW][C]18[/C][C]0.409239[/C][C]3.773[/C][C]0.000149[/C][/ROW]
[ROW][C]19[/C][C]0.378595[/C][C]3.4905[/C][C]0.000383[/C][/ROW]
[ROW][C]20[/C][C]0.347387[/C][C]3.2028[/C][C]0.000958[/C][/ROW]
[ROW][C]21[/C][C]0.315876[/C][C]2.9122[/C][C]0.002291[/C][/ROW]
[ROW][C]22[/C][C]0.284416[/C][C]2.6222[/C][C]0.005176[/C][/ROW]
[ROW][C]23[/C][C]0.252538[/C][C]2.3283[/C][C]0.011136[/C][/ROW]
[ROW][C]24[/C][C]0.220937[/C][C]2.0369[/C][C]0.022384[/C][/ROW]
[ROW][C]25[/C][C]0.188535[/C][C]1.7382[/C][C]0.042898[/C][/ROW]
[ROW][C]26[/C][C]0.15538[/C][C]1.4325[/C][C]0.077829[/C][/ROW]
[ROW][C]27[/C][C]0.122103[/C][C]1.1257[/C][C]0.131723[/C][/ROW]
[ROW][C]28[/C][C]0.090024[/C][C]0.83[/C][C]0.204439[/C][/ROW]
[ROW][C]29[/C][C]0.058946[/C][C]0.5435[/C][C]0.294121[/C][/ROW]
[ROW][C]30[/C][C]0.027986[/C][C]0.258[/C][C]0.398507[/C][/ROW]
[ROW][C]31[/C][C]-0.003281[/C][C]-0.0302[/C][C]0.487971[/C][/ROW]
[ROW][C]32[/C][C]-0.03554[/C][C]-0.3277[/C][C]0.371987[/C][/ROW]
[ROW][C]33[/C][C]-0.068506[/C][C]-0.6316[/C][C]0.264672[/C][/ROW]
[ROW][C]34[/C][C]-0.099523[/C][C]-0.9176[/C][C]0.180724[/C][/ROW]
[ROW][C]35[/C][C]-0.129249[/C][C]-1.1916[/C][C]0.118365[/C][/ROW]
[ROW][C]36[/C][C]-0.156289[/C][C]-1.4409[/C][C]0.076642[/C][/ROW]
[ROW][C]37[/C][C]-0.182867[/C][C]-1.686[/C][C]0.047736[/C][/ROW]
[ROW][C]38[/C][C]-0.207816[/C][C]-1.916[/C][C]0.029365[/C][/ROW]
[ROW][C]39[/C][C]-0.230572[/C][C]-2.1258[/C][C]0.018212[/C][/ROW]
[ROW][C]40[/C][C]-0.252106[/C][C]-2.3243[/C][C]0.011248[/C][/ROW]
[ROW][C]41[/C][C]-0.27254[/C][C]-2.5127[/C][C]0.006935[/C][/ROW]
[ROW][C]42[/C][C]-0.291988[/C][C]-2.692[/C][C]0.004276[/C][/ROW]
[ROW][C]43[/C][C]-0.310718[/C][C]-2.8647[/C][C]0.002629[/C][/ROW]
[ROW][C]44[/C][C]-0.328509[/C][C]-3.0287[/C][C]0.001626[/C][/ROW]
[ROW][C]45[/C][C]-0.345134[/C][C]-3.182[/C][C]0.001022[/C][/ROW]
[ROW][C]46[/C][C]-0.360417[/C][C]-3.3229[/C][C]0.000658[/C][/ROW]
[ROW][C]47[/C][C]-0.374318[/C][C]-3.451[/C][C]0.000436[/C][/ROW]
[ROW][C]48[/C][C]-0.385823[/C][C]-3.5571[/C][C]0.000308[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40275&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40275&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
10.9699088.94210
20.9386948.65430
30.906858.36070
40.8744558.06210
50.8410657.75420
60.807697.44650
70.7748117.14340
80.741276.83420
90.7071566.51970
100.6728956.20380
110.6388215.88960
120.6045555.57370
130.5700275.25541e-06
140.5349254.93182e-06
150.5023344.63136e-06
160.4697164.33062e-05
170.4394934.05195.6e-05
180.4092393.7730.000149
190.3785953.49050.000383
200.3473873.20280.000958
210.3158762.91220.002291
220.2844162.62220.005176
230.2525382.32830.011136
240.2209372.03690.022384
250.1885351.73820.042898
260.155381.43250.077829
270.1221031.12570.131723
280.0900240.830.204439
290.0589460.54350.294121
300.0279860.2580.398507
31-0.003281-0.03020.487971
32-0.03554-0.32770.371987
33-0.068506-0.63160.264672
34-0.099523-0.91760.180724
35-0.129249-1.19160.118365
36-0.156289-1.44090.076642
37-0.182867-1.6860.047736
38-0.207816-1.9160.029365
39-0.230572-2.12580.018212
40-0.252106-2.32430.011248
41-0.27254-2.51270.006935
42-0.291988-2.6920.004276
43-0.310718-2.86470.002629
44-0.328509-3.02870.001626
45-0.345134-3.1820.001022
46-0.360417-3.32290.000658
47-0.374318-3.4510.000436
48-0.385823-3.55710.000308







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9699088.94210
2-0.034209-0.31540.37662
3-0.026392-0.24330.404171
4-0.025633-0.23630.406874
5-0.033699-0.31070.3784
6-0.017139-0.1580.43741
7-0.009726-0.08970.464382
8-0.029752-0.27430.392261
9-0.028515-0.26290.396633
10-0.022116-0.20390.419461
11-0.017196-0.15850.437206
12-0.023615-0.21770.414086
13-0.025384-0.2340.407762
14-0.031749-0.29270.38523
150.0200750.18510.426803
16-0.023044-0.21250.41613
170.0183170.16890.433147
18-0.023394-0.21570.414874
19-0.030201-0.27840.390676
20-0.032241-0.29720.383502
21-0.028138-0.25940.39797
22-0.023329-0.21510.415108
23-0.031249-0.28810.386986
24-0.021313-0.19650.422347
25-0.040093-0.36960.356286
26-0.040143-0.37010.356116
27-0.029907-0.27570.391713
28-0.009625-0.08870.464748
29-0.010929-0.10080.459988
30-0.02858-0.26350.396404
31-0.03286-0.3030.381331
32-0.049191-0.45350.325666
33-0.043892-0.40470.343371
34-0.00089-0.00820.496734
35-0.013547-0.12490.450449
360.0105480.09720.461381
37-0.027913-0.25730.398766
38-0.006609-0.06090.475777
390.0018680.01720.493151
40-0.012935-0.11930.452676
41-0.015594-0.14380.443011
42-0.016328-0.15050.440349
43-0.020828-0.1920.424092
44-0.014725-0.13580.446166
45-0.011038-0.10180.45959
46-0.011783-0.10860.456876
47-0.012001-0.11060.45608
480.0089390.08240.467256

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.969908 & 8.9421 & 0 \tabularnewline
2 & -0.034209 & -0.3154 & 0.37662 \tabularnewline
3 & -0.026392 & -0.2433 & 0.404171 \tabularnewline
4 & -0.025633 & -0.2363 & 0.406874 \tabularnewline
5 & -0.033699 & -0.3107 & 0.3784 \tabularnewline
6 & -0.017139 & -0.158 & 0.43741 \tabularnewline
7 & -0.009726 & -0.0897 & 0.464382 \tabularnewline
8 & -0.029752 & -0.2743 & 0.392261 \tabularnewline
9 & -0.028515 & -0.2629 & 0.396633 \tabularnewline
10 & -0.022116 & -0.2039 & 0.419461 \tabularnewline
11 & -0.017196 & -0.1585 & 0.437206 \tabularnewline
12 & -0.023615 & -0.2177 & 0.414086 \tabularnewline
13 & -0.025384 & -0.234 & 0.407762 \tabularnewline
14 & -0.031749 & -0.2927 & 0.38523 \tabularnewline
15 & 0.020075 & 0.1851 & 0.426803 \tabularnewline
16 & -0.023044 & -0.2125 & 0.41613 \tabularnewline
17 & 0.018317 & 0.1689 & 0.433147 \tabularnewline
18 & -0.023394 & -0.2157 & 0.414874 \tabularnewline
19 & -0.030201 & -0.2784 & 0.390676 \tabularnewline
20 & -0.032241 & -0.2972 & 0.383502 \tabularnewline
21 & -0.028138 & -0.2594 & 0.39797 \tabularnewline
22 & -0.023329 & -0.2151 & 0.415108 \tabularnewline
23 & -0.031249 & -0.2881 & 0.386986 \tabularnewline
24 & -0.021313 & -0.1965 & 0.422347 \tabularnewline
25 & -0.040093 & -0.3696 & 0.356286 \tabularnewline
26 & -0.040143 & -0.3701 & 0.356116 \tabularnewline
27 & -0.029907 & -0.2757 & 0.391713 \tabularnewline
28 & -0.009625 & -0.0887 & 0.464748 \tabularnewline
29 & -0.010929 & -0.1008 & 0.459988 \tabularnewline
30 & -0.02858 & -0.2635 & 0.396404 \tabularnewline
31 & -0.03286 & -0.303 & 0.381331 \tabularnewline
32 & -0.049191 & -0.4535 & 0.325666 \tabularnewline
33 & -0.043892 & -0.4047 & 0.343371 \tabularnewline
34 & -0.00089 & -0.0082 & 0.496734 \tabularnewline
35 & -0.013547 & -0.1249 & 0.450449 \tabularnewline
36 & 0.010548 & 0.0972 & 0.461381 \tabularnewline
37 & -0.027913 & -0.2573 & 0.398766 \tabularnewline
38 & -0.006609 & -0.0609 & 0.475777 \tabularnewline
39 & 0.001868 & 0.0172 & 0.493151 \tabularnewline
40 & -0.012935 & -0.1193 & 0.452676 \tabularnewline
41 & -0.015594 & -0.1438 & 0.443011 \tabularnewline
42 & -0.016328 & -0.1505 & 0.440349 \tabularnewline
43 & -0.020828 & -0.192 & 0.424092 \tabularnewline
44 & -0.014725 & -0.1358 & 0.446166 \tabularnewline
45 & -0.011038 & -0.1018 & 0.45959 \tabularnewline
46 & -0.011783 & -0.1086 & 0.456876 \tabularnewline
47 & -0.012001 & -0.1106 & 0.45608 \tabularnewline
48 & 0.008939 & 0.0824 & 0.467256 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40275&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]0.969908[/C][C]8.9421[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.034209[/C][C]-0.3154[/C][C]0.37662[/C][/ROW]
[ROW][C]3[/C][C]-0.026392[/C][C]-0.2433[/C][C]0.404171[/C][/ROW]
[ROW][C]4[/C][C]-0.025633[/C][C]-0.2363[/C][C]0.406874[/C][/ROW]
[ROW][C]5[/C][C]-0.033699[/C][C]-0.3107[/C][C]0.3784[/C][/ROW]
[ROW][C]6[/C][C]-0.017139[/C][C]-0.158[/C][C]0.43741[/C][/ROW]
[ROW][C]7[/C][C]-0.009726[/C][C]-0.0897[/C][C]0.464382[/C][/ROW]
[ROW][C]8[/C][C]-0.029752[/C][C]-0.2743[/C][C]0.392261[/C][/ROW]
[ROW][C]9[/C][C]-0.028515[/C][C]-0.2629[/C][C]0.396633[/C][/ROW]
[ROW][C]10[/C][C]-0.022116[/C][C]-0.2039[/C][C]0.419461[/C][/ROW]
[ROW][C]11[/C][C]-0.017196[/C][C]-0.1585[/C][C]0.437206[/C][/ROW]
[ROW][C]12[/C][C]-0.023615[/C][C]-0.2177[/C][C]0.414086[/C][/ROW]
[ROW][C]13[/C][C]-0.025384[/C][C]-0.234[/C][C]0.407762[/C][/ROW]
[ROW][C]14[/C][C]-0.031749[/C][C]-0.2927[/C][C]0.38523[/C][/ROW]
[ROW][C]15[/C][C]0.020075[/C][C]0.1851[/C][C]0.426803[/C][/ROW]
[ROW][C]16[/C][C]-0.023044[/C][C]-0.2125[/C][C]0.41613[/C][/ROW]
[ROW][C]17[/C][C]0.018317[/C][C]0.1689[/C][C]0.433147[/C][/ROW]
[ROW][C]18[/C][C]-0.023394[/C][C]-0.2157[/C][C]0.414874[/C][/ROW]
[ROW][C]19[/C][C]-0.030201[/C][C]-0.2784[/C][C]0.390676[/C][/ROW]
[ROW][C]20[/C][C]-0.032241[/C][C]-0.2972[/C][C]0.383502[/C][/ROW]
[ROW][C]21[/C][C]-0.028138[/C][C]-0.2594[/C][C]0.39797[/C][/ROW]
[ROW][C]22[/C][C]-0.023329[/C][C]-0.2151[/C][C]0.415108[/C][/ROW]
[ROW][C]23[/C][C]-0.031249[/C][C]-0.2881[/C][C]0.386986[/C][/ROW]
[ROW][C]24[/C][C]-0.021313[/C][C]-0.1965[/C][C]0.422347[/C][/ROW]
[ROW][C]25[/C][C]-0.040093[/C][C]-0.3696[/C][C]0.356286[/C][/ROW]
[ROW][C]26[/C][C]-0.040143[/C][C]-0.3701[/C][C]0.356116[/C][/ROW]
[ROW][C]27[/C][C]-0.029907[/C][C]-0.2757[/C][C]0.391713[/C][/ROW]
[ROW][C]28[/C][C]-0.009625[/C][C]-0.0887[/C][C]0.464748[/C][/ROW]
[ROW][C]29[/C][C]-0.010929[/C][C]-0.1008[/C][C]0.459988[/C][/ROW]
[ROW][C]30[/C][C]-0.02858[/C][C]-0.2635[/C][C]0.396404[/C][/ROW]
[ROW][C]31[/C][C]-0.03286[/C][C]-0.303[/C][C]0.381331[/C][/ROW]
[ROW][C]32[/C][C]-0.049191[/C][C]-0.4535[/C][C]0.325666[/C][/ROW]
[ROW][C]33[/C][C]-0.043892[/C][C]-0.4047[/C][C]0.343371[/C][/ROW]
[ROW][C]34[/C][C]-0.00089[/C][C]-0.0082[/C][C]0.496734[/C][/ROW]
[ROW][C]35[/C][C]-0.013547[/C][C]-0.1249[/C][C]0.450449[/C][/ROW]
[ROW][C]36[/C][C]0.010548[/C][C]0.0972[/C][C]0.461381[/C][/ROW]
[ROW][C]37[/C][C]-0.027913[/C][C]-0.2573[/C][C]0.398766[/C][/ROW]
[ROW][C]38[/C][C]-0.006609[/C][C]-0.0609[/C][C]0.475777[/C][/ROW]
[ROW][C]39[/C][C]0.001868[/C][C]0.0172[/C][C]0.493151[/C][/ROW]
[ROW][C]40[/C][C]-0.012935[/C][C]-0.1193[/C][C]0.452676[/C][/ROW]
[ROW][C]41[/C][C]-0.015594[/C][C]-0.1438[/C][C]0.443011[/C][/ROW]
[ROW][C]42[/C][C]-0.016328[/C][C]-0.1505[/C][C]0.440349[/C][/ROW]
[ROW][C]43[/C][C]-0.020828[/C][C]-0.192[/C][C]0.424092[/C][/ROW]
[ROW][C]44[/C][C]-0.014725[/C][C]-0.1358[/C][C]0.446166[/C][/ROW]
[ROW][C]45[/C][C]-0.011038[/C][C]-0.1018[/C][C]0.45959[/C][/ROW]
[ROW][C]46[/C][C]-0.011783[/C][C]-0.1086[/C][C]0.456876[/C][/ROW]
[ROW][C]47[/C][C]-0.012001[/C][C]-0.1106[/C][C]0.45608[/C][/ROW]
[ROW][C]48[/C][C]0.008939[/C][C]0.0824[/C][C]0.467256[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40275&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40275&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
10.9699088.94210
2-0.034209-0.31540.37662
3-0.026392-0.24330.404171
4-0.025633-0.23630.406874
5-0.033699-0.31070.3784
6-0.017139-0.1580.43741
7-0.009726-0.08970.464382
8-0.029752-0.27430.392261
9-0.028515-0.26290.396633
10-0.022116-0.20390.419461
11-0.017196-0.15850.437206
12-0.023615-0.21770.414086
13-0.025384-0.2340.407762
14-0.031749-0.29270.38523
150.0200750.18510.426803
16-0.023044-0.21250.41613
170.0183170.16890.433147
18-0.023394-0.21570.414874
19-0.030201-0.27840.390676
20-0.032241-0.29720.383502
21-0.028138-0.25940.39797
22-0.023329-0.21510.415108
23-0.031249-0.28810.386986
24-0.021313-0.19650.422347
25-0.040093-0.36960.356286
26-0.040143-0.37010.356116
27-0.029907-0.27570.391713
28-0.009625-0.08870.464748
29-0.010929-0.10080.459988
30-0.02858-0.26350.396404
31-0.03286-0.3030.381331
32-0.049191-0.45350.325666
33-0.043892-0.40470.343371
34-0.00089-0.00820.496734
35-0.013547-0.12490.450449
360.0105480.09720.461381
37-0.027913-0.25730.398766
38-0.006609-0.06090.475777
390.0018680.01720.493151
40-0.012935-0.11930.452676
41-0.015594-0.14380.443011
42-0.016328-0.15050.440349
43-0.020828-0.1920.424092
44-0.014725-0.13580.446166
45-0.011038-0.10180.45959
46-0.011783-0.10860.456876
47-0.012001-0.11060.45608
480.0089390.08240.467256



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')