Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Aug 2009 11:23:21 -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/Aug/18/t1250616259d8ktogaoo7twgvi.htm/, Retrieved Mon, 06 May 2024 10:43:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42855, Retrieved Mon, 06 May 2024 10:43:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Opgave 6 Oefening...] [2008-12-03 17:26:25] [61fbc7ea9bd73829dc055ddb9178936d]
- RMPD    [(Partial) Autocorrelation Function] [dennis volkaerts ...] [2009-08-18 17:23:21] [0d1085ed835696cdd537ad5fa07600ec] [Current]
Feedback Forum

Post a new message
Dataseries X:
17.23
17.36
17.39
17.29
17.28
17.4
17.51
17.54
17.64
17.65
17.5
17.37
17.56
17.49
17.61
17.79
17.83
17.56
17.95
18.09
18.38
18.38
18.44
18.84
19.01
19.06
19.06
18.97
18.98
19.41
19.55
19.64
19.71
19.48
19.48
19.41
19.25
19.14
19.21
19.3
19.53
19.14
19.16
19.24
19.38
19.27
19.27
19.07
19.15
19.24
19.36
19.57
19.59
19.36
19.46
19.65
19.46
19.51
19.64
19.64
19.69
19.28
19.67
19.65
19.6
19.53
19.64
19.67
19.81
19.73
19.87
19.97
20.12
19.94
20.31
20.13
20.22
20.38
20.44
20.34
20.14
19.97
19.82
19.98
20.12




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=42855&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=42855&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42855&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
10.9531918.7880
20.9138498.42530
30.8774578.08980
40.8380077.7260
50.7922647.30430
60.7454646.87280
70.6943056.40120
80.6466165.96150
90.5988215.52090
100.5526865.09551e-06
110.5005084.61457e-06
120.4467814.11914.4e-05
130.3937973.63060.000241
140.3476073.20480.000952
150.3018632.7830.003317
160.2626872.42190.008784
170.2221112.04780.021835
180.1763491.62590.053841
190.1451741.33840.092161
200.1171321.07990.14162
210.0877240.80880.210452
220.0620910.57250.284263
230.0356490.32870.371608
240.0259390.23910.405784
250.0122220.11270.455276
268.2e-058e-040.499701
27-0.015293-0.1410.444105
28-0.026687-0.2460.40312
29-0.04411-0.40670.342633
30-0.049773-0.45890.323743
31-0.049328-0.45480.325214
32-0.044876-0.41370.340053
33-0.043214-0.39840.345662
34-0.045704-0.42140.337276
35-0.048804-0.450.326945
36-0.05045-0.46510.321515
37-0.055336-0.51020.305628
38-0.061977-0.57140.284618
39-0.067879-0.62580.266556
40-0.075693-0.69790.243585
41-0.080316-0.74050.230527
42-0.087981-0.81110.209775
43-0.09543-0.87980.190719
44-0.102056-0.94090.174708
45-0.114608-1.05660.146837
46-0.128004-1.18010.120618
47-0.140511-1.29540.099337
48-0.158555-1.46180.073741

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.953191 & 8.788 & 0 \tabularnewline
2 & 0.913849 & 8.4253 & 0 \tabularnewline
3 & 0.877457 & 8.0898 & 0 \tabularnewline
4 & 0.838007 & 7.726 & 0 \tabularnewline
5 & 0.792264 & 7.3043 & 0 \tabularnewline
6 & 0.745464 & 6.8728 & 0 \tabularnewline
7 & 0.694305 & 6.4012 & 0 \tabularnewline
8 & 0.646616 & 5.9615 & 0 \tabularnewline
9 & 0.598821 & 5.5209 & 0 \tabularnewline
10 & 0.552686 & 5.0955 & 1e-06 \tabularnewline
11 & 0.500508 & 4.6145 & 7e-06 \tabularnewline
12 & 0.446781 & 4.1191 & 4.4e-05 \tabularnewline
13 & 0.393797 & 3.6306 & 0.000241 \tabularnewline
14 & 0.347607 & 3.2048 & 0.000952 \tabularnewline
15 & 0.301863 & 2.783 & 0.003317 \tabularnewline
16 & 0.262687 & 2.4219 & 0.008784 \tabularnewline
17 & 0.222111 & 2.0478 & 0.021835 \tabularnewline
18 & 0.176349 & 1.6259 & 0.053841 \tabularnewline
19 & 0.145174 & 1.3384 & 0.092161 \tabularnewline
20 & 0.117132 & 1.0799 & 0.14162 \tabularnewline
21 & 0.087724 & 0.8088 & 0.210452 \tabularnewline
22 & 0.062091 & 0.5725 & 0.284263 \tabularnewline
23 & 0.035649 & 0.3287 & 0.371608 \tabularnewline
24 & 0.025939 & 0.2391 & 0.405784 \tabularnewline
25 & 0.012222 & 0.1127 & 0.455276 \tabularnewline
26 & 8.2e-05 & 8e-04 & 0.499701 \tabularnewline
27 & -0.015293 & -0.141 & 0.444105 \tabularnewline
28 & -0.026687 & -0.246 & 0.40312 \tabularnewline
29 & -0.04411 & -0.4067 & 0.342633 \tabularnewline
30 & -0.049773 & -0.4589 & 0.323743 \tabularnewline
31 & -0.049328 & -0.4548 & 0.325214 \tabularnewline
32 & -0.044876 & -0.4137 & 0.340053 \tabularnewline
33 & -0.043214 & -0.3984 & 0.345662 \tabularnewline
34 & -0.045704 & -0.4214 & 0.337276 \tabularnewline
35 & -0.048804 & -0.45 & 0.326945 \tabularnewline
36 & -0.05045 & -0.4651 & 0.321515 \tabularnewline
37 & -0.055336 & -0.5102 & 0.305628 \tabularnewline
38 & -0.061977 & -0.5714 & 0.284618 \tabularnewline
39 & -0.067879 & -0.6258 & 0.266556 \tabularnewline
40 & -0.075693 & -0.6979 & 0.243585 \tabularnewline
41 & -0.080316 & -0.7405 & 0.230527 \tabularnewline
42 & -0.087981 & -0.8111 & 0.209775 \tabularnewline
43 & -0.09543 & -0.8798 & 0.190719 \tabularnewline
44 & -0.102056 & -0.9409 & 0.174708 \tabularnewline
45 & -0.114608 & -1.0566 & 0.146837 \tabularnewline
46 & -0.128004 & -1.1801 & 0.120618 \tabularnewline
47 & -0.140511 & -1.2954 & 0.099337 \tabularnewline
48 & -0.158555 & -1.4618 & 0.073741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42855&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]0.953191[/C][C]8.788[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.913849[/C][C]8.4253[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.877457[/C][C]8.0898[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.838007[/C][C]7.726[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.792264[/C][C]7.3043[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.745464[/C][C]6.8728[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.694305[/C][C]6.4012[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.646616[/C][C]5.9615[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.598821[/C][C]5.5209[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.552686[/C][C]5.0955[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.500508[/C][C]4.6145[/C][C]7e-06[/C][/ROW]
[ROW][C]12[/C][C]0.446781[/C][C]4.1191[/C][C]4.4e-05[/C][/ROW]
[ROW][C]13[/C][C]0.393797[/C][C]3.6306[/C][C]0.000241[/C][/ROW]
[ROW][C]14[/C][C]0.347607[/C][C]3.2048[/C][C]0.000952[/C][/ROW]
[ROW][C]15[/C][C]0.301863[/C][C]2.783[/C][C]0.003317[/C][/ROW]
[ROW][C]16[/C][C]0.262687[/C][C]2.4219[/C][C]0.008784[/C][/ROW]
[ROW][C]17[/C][C]0.222111[/C][C]2.0478[/C][C]0.021835[/C][/ROW]
[ROW][C]18[/C][C]0.176349[/C][C]1.6259[/C][C]0.053841[/C][/ROW]
[ROW][C]19[/C][C]0.145174[/C][C]1.3384[/C][C]0.092161[/C][/ROW]
[ROW][C]20[/C][C]0.117132[/C][C]1.0799[/C][C]0.14162[/C][/ROW]
[ROW][C]21[/C][C]0.087724[/C][C]0.8088[/C][C]0.210452[/C][/ROW]
[ROW][C]22[/C][C]0.062091[/C][C]0.5725[/C][C]0.284263[/C][/ROW]
[ROW][C]23[/C][C]0.035649[/C][C]0.3287[/C][C]0.371608[/C][/ROW]
[ROW][C]24[/C][C]0.025939[/C][C]0.2391[/C][C]0.405784[/C][/ROW]
[ROW][C]25[/C][C]0.012222[/C][C]0.1127[/C][C]0.455276[/C][/ROW]
[ROW][C]26[/C][C]8.2e-05[/C][C]8e-04[/C][C]0.499701[/C][/ROW]
[ROW][C]27[/C][C]-0.015293[/C][C]-0.141[/C][C]0.444105[/C][/ROW]
[ROW][C]28[/C][C]-0.026687[/C][C]-0.246[/C][C]0.40312[/C][/ROW]
[ROW][C]29[/C][C]-0.04411[/C][C]-0.4067[/C][C]0.342633[/C][/ROW]
[ROW][C]30[/C][C]-0.049773[/C][C]-0.4589[/C][C]0.323743[/C][/ROW]
[ROW][C]31[/C][C]-0.049328[/C][C]-0.4548[/C][C]0.325214[/C][/ROW]
[ROW][C]32[/C][C]-0.044876[/C][C]-0.4137[/C][C]0.340053[/C][/ROW]
[ROW][C]33[/C][C]-0.043214[/C][C]-0.3984[/C][C]0.345662[/C][/ROW]
[ROW][C]34[/C][C]-0.045704[/C][C]-0.4214[/C][C]0.337276[/C][/ROW]
[ROW][C]35[/C][C]-0.048804[/C][C]-0.45[/C][C]0.326945[/C][/ROW]
[ROW][C]36[/C][C]-0.05045[/C][C]-0.4651[/C][C]0.321515[/C][/ROW]
[ROW][C]37[/C][C]-0.055336[/C][C]-0.5102[/C][C]0.305628[/C][/ROW]
[ROW][C]38[/C][C]-0.061977[/C][C]-0.5714[/C][C]0.284618[/C][/ROW]
[ROW][C]39[/C][C]-0.067879[/C][C]-0.6258[/C][C]0.266556[/C][/ROW]
[ROW][C]40[/C][C]-0.075693[/C][C]-0.6979[/C][C]0.243585[/C][/ROW]
[ROW][C]41[/C][C]-0.080316[/C][C]-0.7405[/C][C]0.230527[/C][/ROW]
[ROW][C]42[/C][C]-0.087981[/C][C]-0.8111[/C][C]0.209775[/C][/ROW]
[ROW][C]43[/C][C]-0.09543[/C][C]-0.8798[/C][C]0.190719[/C][/ROW]
[ROW][C]44[/C][C]-0.102056[/C][C]-0.9409[/C][C]0.174708[/C][/ROW]
[ROW][C]45[/C][C]-0.114608[/C][C]-1.0566[/C][C]0.146837[/C][/ROW]
[ROW][C]46[/C][C]-0.128004[/C][C]-1.1801[/C][C]0.120618[/C][/ROW]
[ROW][C]47[/C][C]-0.140511[/C][C]-1.2954[/C][C]0.099337[/C][/ROW]
[ROW][C]48[/C][C]-0.158555[/C][C]-1.4618[/C][C]0.073741[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42855&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42855&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
10.9531918.7880
20.9138498.42530
30.8774578.08980
40.8380077.7260
50.7922647.30430
60.7454646.87280
70.6943056.40120
80.6466165.96150
90.5988215.52090
100.5526865.09551e-06
110.5005084.61457e-06
120.4467814.11914.4e-05
130.3937973.63060.000241
140.3476073.20480.000952
150.3018632.7830.003317
160.2626872.42190.008784
170.2221112.04780.021835
180.1763491.62590.053841
190.1451741.33840.092161
200.1171321.07990.14162
210.0877240.80880.210452
220.0620910.57250.284263
230.0356490.32870.371608
240.0259390.23910.405784
250.0122220.11270.455276
268.2e-058e-040.499701
27-0.015293-0.1410.444105
28-0.026687-0.2460.40312
29-0.04411-0.40670.342633
30-0.049773-0.45890.323743
31-0.049328-0.45480.325214
32-0.044876-0.41370.340053
33-0.043214-0.39840.345662
34-0.045704-0.42140.337276
35-0.048804-0.450.326945
36-0.05045-0.46510.321515
37-0.055336-0.51020.305628
38-0.061977-0.57140.284618
39-0.067879-0.62580.266556
40-0.075693-0.69790.243585
41-0.080316-0.74050.230527
42-0.087981-0.81110.209775
43-0.09543-0.87980.190719
44-0.102056-0.94090.174708
45-0.114608-1.05660.146837
46-0.128004-1.18010.120618
47-0.140511-1.29540.099337
48-0.158555-1.46180.073741







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9531918.7880
20.0577050.5320.298052
30.0180630.16650.434067
4-0.047469-0.43760.331378
5-0.09431-0.86950.193513
6-0.050865-0.46890.320153
7-0.082397-0.75970.224778
80.0023710.02190.491306
9-0.021965-0.20250.42
10-0.002437-0.02250.491063
11-0.088122-0.81240.209403
12-0.064817-0.59760.275853
13-0.039291-0.36220.359035
140.0345520.31860.375422
15-0.005694-0.05250.479127
160.0520920.48030.316137
17-0.02937-0.27080.393608
18-0.10173-0.93790.175476
190.1033490.95280.17169
200.0087670.08080.467885
21-0.015562-0.14350.443127
220.0143150.1320.447658
23-0.043681-0.40270.344084
240.151181.39380.083504
25-0.06206-0.57220.28436
26-0.004079-0.03760.485046
27-0.067552-0.62280.267542
280.0060120.05540.477965
29-0.090679-0.8360.202745
300.0800850.73830.23117
310.0819450.75550.226021
320.0653360.60240.274266
33-0.021579-0.1990.421388
34-0.09698-0.89410.186894
35-0.040176-0.37040.356003
36-0.05572-0.51370.304394
370.0081240.07490.470237
38-0.023515-0.21680.414443
390.0338520.31210.377863
40-0.046195-0.42590.335631
41-0.020944-0.19310.423673
42-0.02606-0.24030.405354
43-0.007954-0.07330.470858
440.0161690.14910.440926
45-0.064651-0.59610.276361
46-0.008748-0.08060.467956
47-0.0261-0.24060.405211
48-0.086067-0.79350.214849

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.953191 & 8.788 & 0 \tabularnewline
2 & 0.057705 & 0.532 & 0.298052 \tabularnewline
3 & 0.018063 & 0.1665 & 0.434067 \tabularnewline
4 & -0.047469 & -0.4376 & 0.331378 \tabularnewline
5 & -0.09431 & -0.8695 & 0.193513 \tabularnewline
6 & -0.050865 & -0.4689 & 0.320153 \tabularnewline
7 & -0.082397 & -0.7597 & 0.224778 \tabularnewline
8 & 0.002371 & 0.0219 & 0.491306 \tabularnewline
9 & -0.021965 & -0.2025 & 0.42 \tabularnewline
10 & -0.002437 & -0.0225 & 0.491063 \tabularnewline
11 & -0.088122 & -0.8124 & 0.209403 \tabularnewline
12 & -0.064817 & -0.5976 & 0.275853 \tabularnewline
13 & -0.039291 & -0.3622 & 0.359035 \tabularnewline
14 & 0.034552 & 0.3186 & 0.375422 \tabularnewline
15 & -0.005694 & -0.0525 & 0.479127 \tabularnewline
16 & 0.052092 & 0.4803 & 0.316137 \tabularnewline
17 & -0.02937 & -0.2708 & 0.393608 \tabularnewline
18 & -0.10173 & -0.9379 & 0.175476 \tabularnewline
19 & 0.103349 & 0.9528 & 0.17169 \tabularnewline
20 & 0.008767 & 0.0808 & 0.467885 \tabularnewline
21 & -0.015562 & -0.1435 & 0.443127 \tabularnewline
22 & 0.014315 & 0.132 & 0.447658 \tabularnewline
23 & -0.043681 & -0.4027 & 0.344084 \tabularnewline
24 & 0.15118 & 1.3938 & 0.083504 \tabularnewline
25 & -0.06206 & -0.5722 & 0.28436 \tabularnewline
26 & -0.004079 & -0.0376 & 0.485046 \tabularnewline
27 & -0.067552 & -0.6228 & 0.267542 \tabularnewline
28 & 0.006012 & 0.0554 & 0.477965 \tabularnewline
29 & -0.090679 & -0.836 & 0.202745 \tabularnewline
30 & 0.080085 & 0.7383 & 0.23117 \tabularnewline
31 & 0.081945 & 0.7555 & 0.226021 \tabularnewline
32 & 0.065336 & 0.6024 & 0.274266 \tabularnewline
33 & -0.021579 & -0.199 & 0.421388 \tabularnewline
34 & -0.09698 & -0.8941 & 0.186894 \tabularnewline
35 & -0.040176 & -0.3704 & 0.356003 \tabularnewline
36 & -0.05572 & -0.5137 & 0.304394 \tabularnewline
37 & 0.008124 & 0.0749 & 0.470237 \tabularnewline
38 & -0.023515 & -0.2168 & 0.414443 \tabularnewline
39 & 0.033852 & 0.3121 & 0.377863 \tabularnewline
40 & -0.046195 & -0.4259 & 0.335631 \tabularnewline
41 & -0.020944 & -0.1931 & 0.423673 \tabularnewline
42 & -0.02606 & -0.2403 & 0.405354 \tabularnewline
43 & -0.007954 & -0.0733 & 0.470858 \tabularnewline
44 & 0.016169 & 0.1491 & 0.440926 \tabularnewline
45 & -0.064651 & -0.5961 & 0.276361 \tabularnewline
46 & -0.008748 & -0.0806 & 0.467956 \tabularnewline
47 & -0.0261 & -0.2406 & 0.405211 \tabularnewline
48 & -0.086067 & -0.7935 & 0.214849 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42855&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]0.953191[/C][C]8.788[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.057705[/C][C]0.532[/C][C]0.298052[/C][/ROW]
[ROW][C]3[/C][C]0.018063[/C][C]0.1665[/C][C]0.434067[/C][/ROW]
[ROW][C]4[/C][C]-0.047469[/C][C]-0.4376[/C][C]0.331378[/C][/ROW]
[ROW][C]5[/C][C]-0.09431[/C][C]-0.8695[/C][C]0.193513[/C][/ROW]
[ROW][C]6[/C][C]-0.050865[/C][C]-0.4689[/C][C]0.320153[/C][/ROW]
[ROW][C]7[/C][C]-0.082397[/C][C]-0.7597[/C][C]0.224778[/C][/ROW]
[ROW][C]8[/C][C]0.002371[/C][C]0.0219[/C][C]0.491306[/C][/ROW]
[ROW][C]9[/C][C]-0.021965[/C][C]-0.2025[/C][C]0.42[/C][/ROW]
[ROW][C]10[/C][C]-0.002437[/C][C]-0.0225[/C][C]0.491063[/C][/ROW]
[ROW][C]11[/C][C]-0.088122[/C][C]-0.8124[/C][C]0.209403[/C][/ROW]
[ROW][C]12[/C][C]-0.064817[/C][C]-0.5976[/C][C]0.275853[/C][/ROW]
[ROW][C]13[/C][C]-0.039291[/C][C]-0.3622[/C][C]0.359035[/C][/ROW]
[ROW][C]14[/C][C]0.034552[/C][C]0.3186[/C][C]0.375422[/C][/ROW]
[ROW][C]15[/C][C]-0.005694[/C][C]-0.0525[/C][C]0.479127[/C][/ROW]
[ROW][C]16[/C][C]0.052092[/C][C]0.4803[/C][C]0.316137[/C][/ROW]
[ROW][C]17[/C][C]-0.02937[/C][C]-0.2708[/C][C]0.393608[/C][/ROW]
[ROW][C]18[/C][C]-0.10173[/C][C]-0.9379[/C][C]0.175476[/C][/ROW]
[ROW][C]19[/C][C]0.103349[/C][C]0.9528[/C][C]0.17169[/C][/ROW]
[ROW][C]20[/C][C]0.008767[/C][C]0.0808[/C][C]0.467885[/C][/ROW]
[ROW][C]21[/C][C]-0.015562[/C][C]-0.1435[/C][C]0.443127[/C][/ROW]
[ROW][C]22[/C][C]0.014315[/C][C]0.132[/C][C]0.447658[/C][/ROW]
[ROW][C]23[/C][C]-0.043681[/C][C]-0.4027[/C][C]0.344084[/C][/ROW]
[ROW][C]24[/C][C]0.15118[/C][C]1.3938[/C][C]0.083504[/C][/ROW]
[ROW][C]25[/C][C]-0.06206[/C][C]-0.5722[/C][C]0.28436[/C][/ROW]
[ROW][C]26[/C][C]-0.004079[/C][C]-0.0376[/C][C]0.485046[/C][/ROW]
[ROW][C]27[/C][C]-0.067552[/C][C]-0.6228[/C][C]0.267542[/C][/ROW]
[ROW][C]28[/C][C]0.006012[/C][C]0.0554[/C][C]0.477965[/C][/ROW]
[ROW][C]29[/C][C]-0.090679[/C][C]-0.836[/C][C]0.202745[/C][/ROW]
[ROW][C]30[/C][C]0.080085[/C][C]0.7383[/C][C]0.23117[/C][/ROW]
[ROW][C]31[/C][C]0.081945[/C][C]0.7555[/C][C]0.226021[/C][/ROW]
[ROW][C]32[/C][C]0.065336[/C][C]0.6024[/C][C]0.274266[/C][/ROW]
[ROW][C]33[/C][C]-0.021579[/C][C]-0.199[/C][C]0.421388[/C][/ROW]
[ROW][C]34[/C][C]-0.09698[/C][C]-0.8941[/C][C]0.186894[/C][/ROW]
[ROW][C]35[/C][C]-0.040176[/C][C]-0.3704[/C][C]0.356003[/C][/ROW]
[ROW][C]36[/C][C]-0.05572[/C][C]-0.5137[/C][C]0.304394[/C][/ROW]
[ROW][C]37[/C][C]0.008124[/C][C]0.0749[/C][C]0.470237[/C][/ROW]
[ROW][C]38[/C][C]-0.023515[/C][C]-0.2168[/C][C]0.414443[/C][/ROW]
[ROW][C]39[/C][C]0.033852[/C][C]0.3121[/C][C]0.377863[/C][/ROW]
[ROW][C]40[/C][C]-0.046195[/C][C]-0.4259[/C][C]0.335631[/C][/ROW]
[ROW][C]41[/C][C]-0.020944[/C][C]-0.1931[/C][C]0.423673[/C][/ROW]
[ROW][C]42[/C][C]-0.02606[/C][C]-0.2403[/C][C]0.405354[/C][/ROW]
[ROW][C]43[/C][C]-0.007954[/C][C]-0.0733[/C][C]0.470858[/C][/ROW]
[ROW][C]44[/C][C]0.016169[/C][C]0.1491[/C][C]0.440926[/C][/ROW]
[ROW][C]45[/C][C]-0.064651[/C][C]-0.5961[/C][C]0.276361[/C][/ROW]
[ROW][C]46[/C][C]-0.008748[/C][C]-0.0806[/C][C]0.467956[/C][/ROW]
[ROW][C]47[/C][C]-0.0261[/C][C]-0.2406[/C][C]0.405211[/C][/ROW]
[ROW][C]48[/C][C]-0.086067[/C][C]-0.7935[/C][C]0.214849[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42855&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42855&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
10.9531918.7880
20.0577050.5320.298052
30.0180630.16650.434067
4-0.047469-0.43760.331378
5-0.09431-0.86950.193513
6-0.050865-0.46890.320153
7-0.082397-0.75970.224778
80.0023710.02190.491306
9-0.021965-0.20250.42
10-0.002437-0.02250.491063
11-0.088122-0.81240.209403
12-0.064817-0.59760.275853
13-0.039291-0.36220.359035
140.0345520.31860.375422
15-0.005694-0.05250.479127
160.0520920.48030.316137
17-0.02937-0.27080.393608
18-0.10173-0.93790.175476
190.1033490.95280.17169
200.0087670.08080.467885
21-0.015562-0.14350.443127
220.0143150.1320.447658
23-0.043681-0.40270.344084
240.151181.39380.083504
25-0.06206-0.57220.28436
26-0.004079-0.03760.485046
27-0.067552-0.62280.267542
280.0060120.05540.477965
29-0.090679-0.8360.202745
300.0800850.73830.23117
310.0819450.75550.226021
320.0653360.60240.274266
33-0.021579-0.1990.421388
34-0.09698-0.89410.186894
35-0.040176-0.37040.356003
36-0.05572-0.51370.304394
370.0081240.07490.470237
38-0.023515-0.21680.414443
390.0338520.31210.377863
40-0.046195-0.42590.335631
41-0.020944-0.19310.423673
42-0.02606-0.24030.405354
43-0.007954-0.07330.470858
440.0161690.14910.440926
45-0.064651-0.59610.276361
46-0.008748-0.08060.467956
47-0.0261-0.24060.405211
48-0.086067-0.79350.214849



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')