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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 19 Aug 2009 03:08:43 -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/19/t12506729903ih64io91p5nyyu.htm/, Retrieved Tue, 07 May 2024 07:22:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42909, Retrieved Tue, 07 May 2024 07:22:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelatie in...] [2009-08-18 15:40:43] [f85cc8f00ef4b762f0a6fdfddc793773]
-   P     [(Partial) Autocorrelation Function] [Autocorrelatie In...] [2009-08-19 09:08:43] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
105.46
104.66
103.52
103.71
103.78
103.67
103.66
102.76
102
101.5
101.5
99.22
98.97
98.9
99.78
104.4
106.21
105.46
108.33
111.72
111.88
112.86
113.09
116.9
114.62
118.86
124.71
122.53
127.89
136.16
134.12
130.26
135.35
131.43
129.61
123.96
121.1
125.38
123.1
129.92
136.68
131.17
124.82
122.47
126.15
118.74
116.8
116.64
116.53
117.68
119.46
126.19
124.39
121.9
122.53
122.93
124.66
124.41
120.93
120.18
123.44
126.1
125.82
122.18
117.27
117.86
119.09
123.08
125.42
121.81
121.66
121.27
120.92
122.16
124.17
127.26
134.16
134.09
135.57
136.13
136.23
140.6
136.5
130.59
129.5
135.25
138.06
146.28
145.04
147.96
156.71
160.97
168.17
163.91
153.05
151.76
119.55
119.44
120.25
124.92
126.34
125.88
127.34
127.48
119.41
114.82
115.28
116.37
111.99
113.57
117.69
120.74
122.37
123.57
124.86
122.08
123.56
126.92
134.88
130.64
131.65
130.97
136.77
138.17
146.4
152.07
153.05
142.89
141.11
131.9
118.42
108.27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42909&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42909&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42909&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.216852.4820.007166
20.11951.36770.086867
30.0183710.21030.416895
4-0.094961-1.08690.139544
5-0.137542-1.57420.058923
6-0.185083-2.11840.018016
7-0.075422-0.86320.194791
80.0505420.57850.281966
9-0.12415-1.4210.078852
100.0393070.44990.326766
110.1293611.48060.070557
120.0716010.81950.206992
13-0.061031-0.69850.243041
140.0252570.28910.38649
15-0.085053-0.97350.166056
16-0.093335-1.06830.143681
17-0.111926-1.28110.101219
18-0.126062-1.44280.075726
19-0.009108-0.10420.458568
20-0.160195-1.83350.034498
21-0.056055-0.64160.261136
22-0.023261-0.26620.395237
230.0508860.58240.280644
240.0159590.18270.427672
250.1370461.56860.059581
260.0061260.07010.472103
27-0.005519-0.06320.474864
28-0.152792-1.74880.041335
29-0.151885-1.73840.042244
30-0.049879-0.57090.284527
310.0938641.07430.142326
320.0555350.63560.263063
330.17351.98580.024572
340.162871.86410.03227
350.1370381.56850.059592
360.08741.00030.159495
370.0623170.71320.238481
380.0055480.06350.474731
39-0.034003-0.38920.348888
40-0.114512-1.31070.096134
41-0.008193-0.09380.462715
42-0.044513-0.50950.305639
43-0.079577-0.91080.182035
44-0.054285-0.62130.267733
45-0.116182-1.32980.092954
46-0.009368-0.10720.457387
470.0614690.70350.241484
480.0717570.82130.206486

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.21685 & 2.482 & 0.007166 \tabularnewline
2 & 0.1195 & 1.3677 & 0.086867 \tabularnewline
3 & 0.018371 & 0.2103 & 0.416895 \tabularnewline
4 & -0.094961 & -1.0869 & 0.139544 \tabularnewline
5 & -0.137542 & -1.5742 & 0.058923 \tabularnewline
6 & -0.185083 & -2.1184 & 0.018016 \tabularnewline
7 & -0.075422 & -0.8632 & 0.194791 \tabularnewline
8 & 0.050542 & 0.5785 & 0.281966 \tabularnewline
9 & -0.12415 & -1.421 & 0.078852 \tabularnewline
10 & 0.039307 & 0.4499 & 0.326766 \tabularnewline
11 & 0.129361 & 1.4806 & 0.070557 \tabularnewline
12 & 0.071601 & 0.8195 & 0.206992 \tabularnewline
13 & -0.061031 & -0.6985 & 0.243041 \tabularnewline
14 & 0.025257 & 0.2891 & 0.38649 \tabularnewline
15 & -0.085053 & -0.9735 & 0.166056 \tabularnewline
16 & -0.093335 & -1.0683 & 0.143681 \tabularnewline
17 & -0.111926 & -1.2811 & 0.101219 \tabularnewline
18 & -0.126062 & -1.4428 & 0.075726 \tabularnewline
19 & -0.009108 & -0.1042 & 0.458568 \tabularnewline
20 & -0.160195 & -1.8335 & 0.034498 \tabularnewline
21 & -0.056055 & -0.6416 & 0.261136 \tabularnewline
22 & -0.023261 & -0.2662 & 0.395237 \tabularnewline
23 & 0.050886 & 0.5824 & 0.280644 \tabularnewline
24 & 0.015959 & 0.1827 & 0.427672 \tabularnewline
25 & 0.137046 & 1.5686 & 0.059581 \tabularnewline
26 & 0.006126 & 0.0701 & 0.472103 \tabularnewline
27 & -0.005519 & -0.0632 & 0.474864 \tabularnewline
28 & -0.152792 & -1.7488 & 0.041335 \tabularnewline
29 & -0.151885 & -1.7384 & 0.042244 \tabularnewline
30 & -0.049879 & -0.5709 & 0.284527 \tabularnewline
31 & 0.093864 & 1.0743 & 0.142326 \tabularnewline
32 & 0.055535 & 0.6356 & 0.263063 \tabularnewline
33 & 0.1735 & 1.9858 & 0.024572 \tabularnewline
34 & 0.16287 & 1.8641 & 0.03227 \tabularnewline
35 & 0.137038 & 1.5685 & 0.059592 \tabularnewline
36 & 0.0874 & 1.0003 & 0.159495 \tabularnewline
37 & 0.062317 & 0.7132 & 0.238481 \tabularnewline
38 & 0.005548 & 0.0635 & 0.474731 \tabularnewline
39 & -0.034003 & -0.3892 & 0.348888 \tabularnewline
40 & -0.114512 & -1.3107 & 0.096134 \tabularnewline
41 & -0.008193 & -0.0938 & 0.462715 \tabularnewline
42 & -0.044513 & -0.5095 & 0.305639 \tabularnewline
43 & -0.079577 & -0.9108 & 0.182035 \tabularnewline
44 & -0.054285 & -0.6213 & 0.267733 \tabularnewline
45 & -0.116182 & -1.3298 & 0.092954 \tabularnewline
46 & -0.009368 & -0.1072 & 0.457387 \tabularnewline
47 & 0.061469 & 0.7035 & 0.241484 \tabularnewline
48 & 0.071757 & 0.8213 & 0.206486 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42909&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]0.21685[/C][C]2.482[/C][C]0.007166[/C][/ROW]
[ROW][C]2[/C][C]0.1195[/C][C]1.3677[/C][C]0.086867[/C][/ROW]
[ROW][C]3[/C][C]0.018371[/C][C]0.2103[/C][C]0.416895[/C][/ROW]
[ROW][C]4[/C][C]-0.094961[/C][C]-1.0869[/C][C]0.139544[/C][/ROW]
[ROW][C]5[/C][C]-0.137542[/C][C]-1.5742[/C][C]0.058923[/C][/ROW]
[ROW][C]6[/C][C]-0.185083[/C][C]-2.1184[/C][C]0.018016[/C][/ROW]
[ROW][C]7[/C][C]-0.075422[/C][C]-0.8632[/C][C]0.194791[/C][/ROW]
[ROW][C]8[/C][C]0.050542[/C][C]0.5785[/C][C]0.281966[/C][/ROW]
[ROW][C]9[/C][C]-0.12415[/C][C]-1.421[/C][C]0.078852[/C][/ROW]
[ROW][C]10[/C][C]0.039307[/C][C]0.4499[/C][C]0.326766[/C][/ROW]
[ROW][C]11[/C][C]0.129361[/C][C]1.4806[/C][C]0.070557[/C][/ROW]
[ROW][C]12[/C][C]0.071601[/C][C]0.8195[/C][C]0.206992[/C][/ROW]
[ROW][C]13[/C][C]-0.061031[/C][C]-0.6985[/C][C]0.243041[/C][/ROW]
[ROW][C]14[/C][C]0.025257[/C][C]0.2891[/C][C]0.38649[/C][/ROW]
[ROW][C]15[/C][C]-0.085053[/C][C]-0.9735[/C][C]0.166056[/C][/ROW]
[ROW][C]16[/C][C]-0.093335[/C][C]-1.0683[/C][C]0.143681[/C][/ROW]
[ROW][C]17[/C][C]-0.111926[/C][C]-1.2811[/C][C]0.101219[/C][/ROW]
[ROW][C]18[/C][C]-0.126062[/C][C]-1.4428[/C][C]0.075726[/C][/ROW]
[ROW][C]19[/C][C]-0.009108[/C][C]-0.1042[/C][C]0.458568[/C][/ROW]
[ROW][C]20[/C][C]-0.160195[/C][C]-1.8335[/C][C]0.034498[/C][/ROW]
[ROW][C]21[/C][C]-0.056055[/C][C]-0.6416[/C][C]0.261136[/C][/ROW]
[ROW][C]22[/C][C]-0.023261[/C][C]-0.2662[/C][C]0.395237[/C][/ROW]
[ROW][C]23[/C][C]0.050886[/C][C]0.5824[/C][C]0.280644[/C][/ROW]
[ROW][C]24[/C][C]0.015959[/C][C]0.1827[/C][C]0.427672[/C][/ROW]
[ROW][C]25[/C][C]0.137046[/C][C]1.5686[/C][C]0.059581[/C][/ROW]
[ROW][C]26[/C][C]0.006126[/C][C]0.0701[/C][C]0.472103[/C][/ROW]
[ROW][C]27[/C][C]-0.005519[/C][C]-0.0632[/C][C]0.474864[/C][/ROW]
[ROW][C]28[/C][C]-0.152792[/C][C]-1.7488[/C][C]0.041335[/C][/ROW]
[ROW][C]29[/C][C]-0.151885[/C][C]-1.7384[/C][C]0.042244[/C][/ROW]
[ROW][C]30[/C][C]-0.049879[/C][C]-0.5709[/C][C]0.284527[/C][/ROW]
[ROW][C]31[/C][C]0.093864[/C][C]1.0743[/C][C]0.142326[/C][/ROW]
[ROW][C]32[/C][C]0.055535[/C][C]0.6356[/C][C]0.263063[/C][/ROW]
[ROW][C]33[/C][C]0.1735[/C][C]1.9858[/C][C]0.024572[/C][/ROW]
[ROW][C]34[/C][C]0.16287[/C][C]1.8641[/C][C]0.03227[/C][/ROW]
[ROW][C]35[/C][C]0.137038[/C][C]1.5685[/C][C]0.059592[/C][/ROW]
[ROW][C]36[/C][C]0.0874[/C][C]1.0003[/C][C]0.159495[/C][/ROW]
[ROW][C]37[/C][C]0.062317[/C][C]0.7132[/C][C]0.238481[/C][/ROW]
[ROW][C]38[/C][C]0.005548[/C][C]0.0635[/C][C]0.474731[/C][/ROW]
[ROW][C]39[/C][C]-0.034003[/C][C]-0.3892[/C][C]0.348888[/C][/ROW]
[ROW][C]40[/C][C]-0.114512[/C][C]-1.3107[/C][C]0.096134[/C][/ROW]
[ROW][C]41[/C][C]-0.008193[/C][C]-0.0938[/C][C]0.462715[/C][/ROW]
[ROW][C]42[/C][C]-0.044513[/C][C]-0.5095[/C][C]0.305639[/C][/ROW]
[ROW][C]43[/C][C]-0.079577[/C][C]-0.9108[/C][C]0.182035[/C][/ROW]
[ROW][C]44[/C][C]-0.054285[/C][C]-0.6213[/C][C]0.267733[/C][/ROW]
[ROW][C]45[/C][C]-0.116182[/C][C]-1.3298[/C][C]0.092954[/C][/ROW]
[ROW][C]46[/C][C]-0.009368[/C][C]-0.1072[/C][C]0.457387[/C][/ROW]
[ROW][C]47[/C][C]0.061469[/C][C]0.7035[/C][C]0.241484[/C][/ROW]
[ROW][C]48[/C][C]0.071757[/C][C]0.8213[/C][C]0.206486[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42909&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42909&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
10.216852.4820.007166
20.11951.36770.086867
30.0183710.21030.416895
4-0.094961-1.08690.139544
5-0.137542-1.57420.058923
6-0.185083-2.11840.018016
7-0.075422-0.86320.194791
80.0505420.57850.281966
9-0.12415-1.4210.078852
100.0393070.44990.326766
110.1293611.48060.070557
120.0716010.81950.206992
13-0.061031-0.69850.243041
140.0252570.28910.38649
15-0.085053-0.97350.166056
16-0.093335-1.06830.143681
17-0.111926-1.28110.101219
18-0.126062-1.44280.075726
19-0.009108-0.10420.458568
20-0.160195-1.83350.034498
21-0.056055-0.64160.261136
22-0.023261-0.26620.395237
230.0508860.58240.280644
240.0159590.18270.427672
250.1370461.56860.059581
260.0061260.07010.472103
27-0.005519-0.06320.474864
28-0.152792-1.74880.041335
29-0.151885-1.73840.042244
30-0.049879-0.57090.284527
310.0938641.07430.142326
320.0555350.63560.263063
330.17351.98580.024572
340.162871.86410.03227
350.1370381.56850.059592
360.08741.00030.159495
370.0623170.71320.238481
380.0055480.06350.474731
39-0.034003-0.38920.348888
40-0.114512-1.31070.096134
41-0.008193-0.09380.462715
42-0.044513-0.50950.305639
43-0.079577-0.91080.182035
44-0.054285-0.62130.267733
45-0.116182-1.32980.092954
46-0.009368-0.10720.457387
470.0614690.70350.241484
480.0717570.82130.206486







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.216852.4820.007166
20.0760520.87050.192821
3-0.023288-0.26650.395122
4-0.109055-1.24820.107093
5-0.103064-1.17960.120145
6-0.127369-1.45780.073645
70.0077890.08920.464547
80.0961441.10040.136583
9-0.174507-1.99730.023931
100.0454930.52070.301731
110.1175531.34550.090401
120.0062810.07190.471402
13-0.135505-1.55090.061666
140.0611640.70010.242568
15-0.105704-1.20980.11426
16-0.053291-0.60990.271476
17-0.008983-0.10280.459135
18-0.12786-1.46340.072873
190.0004760.00540.497832
20-0.148511-1.69980.045772
21-0.024586-0.28140.389422
22-0.107374-1.22890.110647
230.0825980.94540.173102
24-0.074839-0.85660.196623
250.1130991.29450.09889
26-0.113591-1.30010.097923
27-0.04249-0.48630.313778
28-0.158314-1.8120.036139
29-0.112874-1.29190.099334
300.023220.26580.395421
310.137711.57620.0587
320.0282270.32310.373578
33-0.002149-0.02460.490207
340.1278381.46320.072908
35-0.044833-0.51310.304358
360.0658740.7540.226111
370.0158520.18140.428153
380.0168870.19330.42352
39-0.019983-0.22870.409725
400.0275290.31510.376599
410.0343730.39340.347325
42-0.095555-1.09370.138052
43-0.026553-0.30390.380839
44-0.133169-1.52420.064936
45-0.119001-1.3620.087764
46-0.006032-0.0690.472534
470.1516041.73520.04253
48-0.029072-0.33270.369929

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.21685 & 2.482 & 0.007166 \tabularnewline
2 & 0.076052 & 0.8705 & 0.192821 \tabularnewline
3 & -0.023288 & -0.2665 & 0.395122 \tabularnewline
4 & -0.109055 & -1.2482 & 0.107093 \tabularnewline
5 & -0.103064 & -1.1796 & 0.120145 \tabularnewline
6 & -0.127369 & -1.4578 & 0.073645 \tabularnewline
7 & 0.007789 & 0.0892 & 0.464547 \tabularnewline
8 & 0.096144 & 1.1004 & 0.136583 \tabularnewline
9 & -0.174507 & -1.9973 & 0.023931 \tabularnewline
10 & 0.045493 & 0.5207 & 0.301731 \tabularnewline
11 & 0.117553 & 1.3455 & 0.090401 \tabularnewline
12 & 0.006281 & 0.0719 & 0.471402 \tabularnewline
13 & -0.135505 & -1.5509 & 0.061666 \tabularnewline
14 & 0.061164 & 0.7001 & 0.242568 \tabularnewline
15 & -0.105704 & -1.2098 & 0.11426 \tabularnewline
16 & -0.053291 & -0.6099 & 0.271476 \tabularnewline
17 & -0.008983 & -0.1028 & 0.459135 \tabularnewline
18 & -0.12786 & -1.4634 & 0.072873 \tabularnewline
19 & 0.000476 & 0.0054 & 0.497832 \tabularnewline
20 & -0.148511 & -1.6998 & 0.045772 \tabularnewline
21 & -0.024586 & -0.2814 & 0.389422 \tabularnewline
22 & -0.107374 & -1.2289 & 0.110647 \tabularnewline
23 & 0.082598 & 0.9454 & 0.173102 \tabularnewline
24 & -0.074839 & -0.8566 & 0.196623 \tabularnewline
25 & 0.113099 & 1.2945 & 0.09889 \tabularnewline
26 & -0.113591 & -1.3001 & 0.097923 \tabularnewline
27 & -0.04249 & -0.4863 & 0.313778 \tabularnewline
28 & -0.158314 & -1.812 & 0.036139 \tabularnewline
29 & -0.112874 & -1.2919 & 0.099334 \tabularnewline
30 & 0.02322 & 0.2658 & 0.395421 \tabularnewline
31 & 0.13771 & 1.5762 & 0.0587 \tabularnewline
32 & 0.028227 & 0.3231 & 0.373578 \tabularnewline
33 & -0.002149 & -0.0246 & 0.490207 \tabularnewline
34 & 0.127838 & 1.4632 & 0.072908 \tabularnewline
35 & -0.044833 & -0.5131 & 0.304358 \tabularnewline
36 & 0.065874 & 0.754 & 0.226111 \tabularnewline
37 & 0.015852 & 0.1814 & 0.428153 \tabularnewline
38 & 0.016887 & 0.1933 & 0.42352 \tabularnewline
39 & -0.019983 & -0.2287 & 0.409725 \tabularnewline
40 & 0.027529 & 0.3151 & 0.376599 \tabularnewline
41 & 0.034373 & 0.3934 & 0.347325 \tabularnewline
42 & -0.095555 & -1.0937 & 0.138052 \tabularnewline
43 & -0.026553 & -0.3039 & 0.380839 \tabularnewline
44 & -0.133169 & -1.5242 & 0.064936 \tabularnewline
45 & -0.119001 & -1.362 & 0.087764 \tabularnewline
46 & -0.006032 & -0.069 & 0.472534 \tabularnewline
47 & 0.151604 & 1.7352 & 0.04253 \tabularnewline
48 & -0.029072 & -0.3327 & 0.369929 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42909&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]0.21685[/C][C]2.482[/C][C]0.007166[/C][/ROW]
[ROW][C]2[/C][C]0.076052[/C][C]0.8705[/C][C]0.192821[/C][/ROW]
[ROW][C]3[/C][C]-0.023288[/C][C]-0.2665[/C][C]0.395122[/C][/ROW]
[ROW][C]4[/C][C]-0.109055[/C][C]-1.2482[/C][C]0.107093[/C][/ROW]
[ROW][C]5[/C][C]-0.103064[/C][C]-1.1796[/C][C]0.120145[/C][/ROW]
[ROW][C]6[/C][C]-0.127369[/C][C]-1.4578[/C][C]0.073645[/C][/ROW]
[ROW][C]7[/C][C]0.007789[/C][C]0.0892[/C][C]0.464547[/C][/ROW]
[ROW][C]8[/C][C]0.096144[/C][C]1.1004[/C][C]0.136583[/C][/ROW]
[ROW][C]9[/C][C]-0.174507[/C][C]-1.9973[/C][C]0.023931[/C][/ROW]
[ROW][C]10[/C][C]0.045493[/C][C]0.5207[/C][C]0.301731[/C][/ROW]
[ROW][C]11[/C][C]0.117553[/C][C]1.3455[/C][C]0.090401[/C][/ROW]
[ROW][C]12[/C][C]0.006281[/C][C]0.0719[/C][C]0.471402[/C][/ROW]
[ROW][C]13[/C][C]-0.135505[/C][C]-1.5509[/C][C]0.061666[/C][/ROW]
[ROW][C]14[/C][C]0.061164[/C][C]0.7001[/C][C]0.242568[/C][/ROW]
[ROW][C]15[/C][C]-0.105704[/C][C]-1.2098[/C][C]0.11426[/C][/ROW]
[ROW][C]16[/C][C]-0.053291[/C][C]-0.6099[/C][C]0.271476[/C][/ROW]
[ROW][C]17[/C][C]-0.008983[/C][C]-0.1028[/C][C]0.459135[/C][/ROW]
[ROW][C]18[/C][C]-0.12786[/C][C]-1.4634[/C][C]0.072873[/C][/ROW]
[ROW][C]19[/C][C]0.000476[/C][C]0.0054[/C][C]0.497832[/C][/ROW]
[ROW][C]20[/C][C]-0.148511[/C][C]-1.6998[/C][C]0.045772[/C][/ROW]
[ROW][C]21[/C][C]-0.024586[/C][C]-0.2814[/C][C]0.389422[/C][/ROW]
[ROW][C]22[/C][C]-0.107374[/C][C]-1.2289[/C][C]0.110647[/C][/ROW]
[ROW][C]23[/C][C]0.082598[/C][C]0.9454[/C][C]0.173102[/C][/ROW]
[ROW][C]24[/C][C]-0.074839[/C][C]-0.8566[/C][C]0.196623[/C][/ROW]
[ROW][C]25[/C][C]0.113099[/C][C]1.2945[/C][C]0.09889[/C][/ROW]
[ROW][C]26[/C][C]-0.113591[/C][C]-1.3001[/C][C]0.097923[/C][/ROW]
[ROW][C]27[/C][C]-0.04249[/C][C]-0.4863[/C][C]0.313778[/C][/ROW]
[ROW][C]28[/C][C]-0.158314[/C][C]-1.812[/C][C]0.036139[/C][/ROW]
[ROW][C]29[/C][C]-0.112874[/C][C]-1.2919[/C][C]0.099334[/C][/ROW]
[ROW][C]30[/C][C]0.02322[/C][C]0.2658[/C][C]0.395421[/C][/ROW]
[ROW][C]31[/C][C]0.13771[/C][C]1.5762[/C][C]0.0587[/C][/ROW]
[ROW][C]32[/C][C]0.028227[/C][C]0.3231[/C][C]0.373578[/C][/ROW]
[ROW][C]33[/C][C]-0.002149[/C][C]-0.0246[/C][C]0.490207[/C][/ROW]
[ROW][C]34[/C][C]0.127838[/C][C]1.4632[/C][C]0.072908[/C][/ROW]
[ROW][C]35[/C][C]-0.044833[/C][C]-0.5131[/C][C]0.304358[/C][/ROW]
[ROW][C]36[/C][C]0.065874[/C][C]0.754[/C][C]0.226111[/C][/ROW]
[ROW][C]37[/C][C]0.015852[/C][C]0.1814[/C][C]0.428153[/C][/ROW]
[ROW][C]38[/C][C]0.016887[/C][C]0.1933[/C][C]0.42352[/C][/ROW]
[ROW][C]39[/C][C]-0.019983[/C][C]-0.2287[/C][C]0.409725[/C][/ROW]
[ROW][C]40[/C][C]0.027529[/C][C]0.3151[/C][C]0.376599[/C][/ROW]
[ROW][C]41[/C][C]0.034373[/C][C]0.3934[/C][C]0.347325[/C][/ROW]
[ROW][C]42[/C][C]-0.095555[/C][C]-1.0937[/C][C]0.138052[/C][/ROW]
[ROW][C]43[/C][C]-0.026553[/C][C]-0.3039[/C][C]0.380839[/C][/ROW]
[ROW][C]44[/C][C]-0.133169[/C][C]-1.5242[/C][C]0.064936[/C][/ROW]
[ROW][C]45[/C][C]-0.119001[/C][C]-1.362[/C][C]0.087764[/C][/ROW]
[ROW][C]46[/C][C]-0.006032[/C][C]-0.069[/C][C]0.472534[/C][/ROW]
[ROW][C]47[/C][C]0.151604[/C][C]1.7352[/C][C]0.04253[/C][/ROW]
[ROW][C]48[/C][C]-0.029072[/C][C]-0.3327[/C][C]0.369929[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42909&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42909&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
10.216852.4820.007166
20.0760520.87050.192821
3-0.023288-0.26650.395122
4-0.109055-1.24820.107093
5-0.103064-1.17960.120145
6-0.127369-1.45780.073645
70.0077890.08920.464547
80.0961441.10040.136583
9-0.174507-1.99730.023931
100.0454930.52070.301731
110.1175531.34550.090401
120.0062810.07190.471402
13-0.135505-1.55090.061666
140.0611640.70010.242568
15-0.105704-1.20980.11426
16-0.053291-0.60990.271476
17-0.008983-0.10280.459135
18-0.12786-1.46340.072873
190.0004760.00540.497832
20-0.148511-1.69980.045772
21-0.024586-0.28140.389422
22-0.107374-1.22890.110647
230.0825980.94540.173102
24-0.074839-0.85660.196623
250.1130991.29450.09889
26-0.113591-1.30010.097923
27-0.04249-0.48630.313778
28-0.158314-1.8120.036139
29-0.112874-1.29190.099334
300.023220.26580.395421
310.137711.57620.0587
320.0282270.32310.373578
33-0.002149-0.02460.490207
340.1278381.46320.072908
35-0.044833-0.51310.304358
360.0658740.7540.226111
370.0158520.18140.428153
380.0168870.19330.42352
39-0.019983-0.22870.409725
400.0275290.31510.376599
410.0343730.39340.347325
42-0.095555-1.09370.138052
43-0.026553-0.30390.380839
44-0.133169-1.52420.064936
45-0.119001-1.3620.087764
46-0.006032-0.0690.472534
470.1516041.73520.04253
48-0.029072-0.33270.369929



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