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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 24 Nov 2009 02:55:25 -0700
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/Nov/24/t1259056573w82a0pmcje796lj.htm/, Retrieved Fri, 14 Jun 2024 19:25:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58970, Retrieved Fri, 14 Jun 2024 19:25:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact252
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 09:55:25] [2ffc7e281e02b99889abd2ccc65ed6c3] [Current]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-18 11:14:21] [fef2f8976fa1eef1b54e2cee317fe737]
- R                 [(Partial) Autocorrelation Function] [Paper: ACF] [2010-12-22 20:09:28] [29e492448d11757ae0fad5ef6e7f8e86]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 12:46:43] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 12:49:48] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 12:50:49] [1253bc7c4737195066123d9caa6dfc18]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 12:52:24] [1253bc7c4737195066123d9caa6dfc18]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 12:52:24] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 12:55:17] [1253bc7c4737195066123d9caa6dfc18]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 12:59:14] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 13:00:26] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 13:01:38] [1253bc7c4737195066123d9caa6dfc18]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 13:03:13] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 13:04:46] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 13:06:26] [1253bc7c4737195066123d9caa6dfc18]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-18 11:46:14] [fef2f8976fa1eef1b54e2cee317fe737]
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Dataseries X:
95.1
97
112.7
102.9
97.4
111.4
87.4
96.8
114.1
110.3
103.9
101.6
94.6
95.9
104.7
102.8
98.1
113.9
80.9
95.7
113.2
105.9
108.8
102.3
99
100.7
115.5
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102
106
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100
110.7
112.8
109.8
117.3
109.1
115.9
96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58970&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58970&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58970&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0587420.43560.3324
2-0.134354-0.99640.161712
30.0852580.63230.264908
4-0.056039-0.41560.339662
50.2218251.64510.052826
60.356612.64470.005318
70.2095191.55380.06298
8-0.057774-0.42850.334995
9-0.016197-0.12010.452414
10-0.188239-1.3960.08416
110.0425870.31580.376661
120.6667864.9454e-06
13-0.001022-0.00760.496989
14-0.143694-1.06570.145617
15-0.001791-0.01330.494727
16-0.15062-1.1170.134419
170.1500981.11320.135241
180.1879291.39370.084505
190.0483550.35860.36063
20-0.133162-0.98760.163847
21-0.098185-0.72820.234803
22-0.261627-1.94030.02874
23-0.015781-0.1170.453629
240.3358952.49110.007891
25-0.093634-0.69440.245173
26-0.152835-1.13350.13097
27-0.122431-0.9080.183926
28-0.166687-1.23620.110822
290.0328090.24330.404331
300.0331630.24590.40332
31-0.013732-0.10180.459626
32-0.158806-1.17770.121987
33-0.158583-1.17610.122313
34-0.175952-1.30490.098681
35-0.080083-0.59390.277504
360.1511421.12090.1336

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.058742 & 0.4356 & 0.3324 \tabularnewline
2 & -0.134354 & -0.9964 & 0.161712 \tabularnewline
3 & 0.085258 & 0.6323 & 0.264908 \tabularnewline
4 & -0.056039 & -0.4156 & 0.339662 \tabularnewline
5 & 0.221825 & 1.6451 & 0.052826 \tabularnewline
6 & 0.35661 & 2.6447 & 0.005318 \tabularnewline
7 & 0.209519 & 1.5538 & 0.06298 \tabularnewline
8 & -0.057774 & -0.4285 & 0.334995 \tabularnewline
9 & -0.016197 & -0.1201 & 0.452414 \tabularnewline
10 & -0.188239 & -1.396 & 0.08416 \tabularnewline
11 & 0.042587 & 0.3158 & 0.376661 \tabularnewline
12 & 0.666786 & 4.945 & 4e-06 \tabularnewline
13 & -0.001022 & -0.0076 & 0.496989 \tabularnewline
14 & -0.143694 & -1.0657 & 0.145617 \tabularnewline
15 & -0.001791 & -0.0133 & 0.494727 \tabularnewline
16 & -0.15062 & -1.117 & 0.134419 \tabularnewline
17 & 0.150098 & 1.1132 & 0.135241 \tabularnewline
18 & 0.187929 & 1.3937 & 0.084505 \tabularnewline
19 & 0.048355 & 0.3586 & 0.36063 \tabularnewline
20 & -0.133162 & -0.9876 & 0.163847 \tabularnewline
21 & -0.098185 & -0.7282 & 0.234803 \tabularnewline
22 & -0.261627 & -1.9403 & 0.02874 \tabularnewline
23 & -0.015781 & -0.117 & 0.453629 \tabularnewline
24 & 0.335895 & 2.4911 & 0.007891 \tabularnewline
25 & -0.093634 & -0.6944 & 0.245173 \tabularnewline
26 & -0.152835 & -1.1335 & 0.13097 \tabularnewline
27 & -0.122431 & -0.908 & 0.183926 \tabularnewline
28 & -0.166687 & -1.2362 & 0.110822 \tabularnewline
29 & 0.032809 & 0.2433 & 0.404331 \tabularnewline
30 & 0.033163 & 0.2459 & 0.40332 \tabularnewline
31 & -0.013732 & -0.1018 & 0.459626 \tabularnewline
32 & -0.158806 & -1.1777 & 0.121987 \tabularnewline
33 & -0.158583 & -1.1761 & 0.122313 \tabularnewline
34 & -0.175952 & -1.3049 & 0.098681 \tabularnewline
35 & -0.080083 & -0.5939 & 0.277504 \tabularnewline
36 & 0.151142 & 1.1209 & 0.1336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58970&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]0.058742[/C][C]0.4356[/C][C]0.3324[/C][/ROW]
[ROW][C]2[/C][C]-0.134354[/C][C]-0.9964[/C][C]0.161712[/C][/ROW]
[ROW][C]3[/C][C]0.085258[/C][C]0.6323[/C][C]0.264908[/C][/ROW]
[ROW][C]4[/C][C]-0.056039[/C][C]-0.4156[/C][C]0.339662[/C][/ROW]
[ROW][C]5[/C][C]0.221825[/C][C]1.6451[/C][C]0.052826[/C][/ROW]
[ROW][C]6[/C][C]0.35661[/C][C]2.6447[/C][C]0.005318[/C][/ROW]
[ROW][C]7[/C][C]0.209519[/C][C]1.5538[/C][C]0.06298[/C][/ROW]
[ROW][C]8[/C][C]-0.057774[/C][C]-0.4285[/C][C]0.334995[/C][/ROW]
[ROW][C]9[/C][C]-0.016197[/C][C]-0.1201[/C][C]0.452414[/C][/ROW]
[ROW][C]10[/C][C]-0.188239[/C][C]-1.396[/C][C]0.08416[/C][/ROW]
[ROW][C]11[/C][C]0.042587[/C][C]0.3158[/C][C]0.376661[/C][/ROW]
[ROW][C]12[/C][C]0.666786[/C][C]4.945[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.001022[/C][C]-0.0076[/C][C]0.496989[/C][/ROW]
[ROW][C]14[/C][C]-0.143694[/C][C]-1.0657[/C][C]0.145617[/C][/ROW]
[ROW][C]15[/C][C]-0.001791[/C][C]-0.0133[/C][C]0.494727[/C][/ROW]
[ROW][C]16[/C][C]-0.15062[/C][C]-1.117[/C][C]0.134419[/C][/ROW]
[ROW][C]17[/C][C]0.150098[/C][C]1.1132[/C][C]0.135241[/C][/ROW]
[ROW][C]18[/C][C]0.187929[/C][C]1.3937[/C][C]0.084505[/C][/ROW]
[ROW][C]19[/C][C]0.048355[/C][C]0.3586[/C][C]0.36063[/C][/ROW]
[ROW][C]20[/C][C]-0.133162[/C][C]-0.9876[/C][C]0.163847[/C][/ROW]
[ROW][C]21[/C][C]-0.098185[/C][C]-0.7282[/C][C]0.234803[/C][/ROW]
[ROW][C]22[/C][C]-0.261627[/C][C]-1.9403[/C][C]0.02874[/C][/ROW]
[ROW][C]23[/C][C]-0.015781[/C][C]-0.117[/C][C]0.453629[/C][/ROW]
[ROW][C]24[/C][C]0.335895[/C][C]2.4911[/C][C]0.007891[/C][/ROW]
[ROW][C]25[/C][C]-0.093634[/C][C]-0.6944[/C][C]0.245173[/C][/ROW]
[ROW][C]26[/C][C]-0.152835[/C][C]-1.1335[/C][C]0.13097[/C][/ROW]
[ROW][C]27[/C][C]-0.122431[/C][C]-0.908[/C][C]0.183926[/C][/ROW]
[ROW][C]28[/C][C]-0.166687[/C][C]-1.2362[/C][C]0.110822[/C][/ROW]
[ROW][C]29[/C][C]0.032809[/C][C]0.2433[/C][C]0.404331[/C][/ROW]
[ROW][C]30[/C][C]0.033163[/C][C]0.2459[/C][C]0.40332[/C][/ROW]
[ROW][C]31[/C][C]-0.013732[/C][C]-0.1018[/C][C]0.459626[/C][/ROW]
[ROW][C]32[/C][C]-0.158806[/C][C]-1.1777[/C][C]0.121987[/C][/ROW]
[ROW][C]33[/C][C]-0.158583[/C][C]-1.1761[/C][C]0.122313[/C][/ROW]
[ROW][C]34[/C][C]-0.175952[/C][C]-1.3049[/C][C]0.098681[/C][/ROW]
[ROW][C]35[/C][C]-0.080083[/C][C]-0.5939[/C][C]0.277504[/C][/ROW]
[ROW][C]36[/C][C]0.151142[/C][C]1.1209[/C][C]0.1336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58970&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58970&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
10.0587420.43560.3324
2-0.134354-0.99640.161712
30.0852580.63230.264908
4-0.056039-0.41560.339662
50.2218251.64510.052826
60.356612.64470.005318
70.2095191.55380.06298
8-0.057774-0.42850.334995
9-0.016197-0.12010.452414
10-0.188239-1.3960.08416
110.0425870.31580.376661
120.6667864.9454e-06
13-0.001022-0.00760.496989
14-0.143694-1.06570.145617
15-0.001791-0.01330.494727
16-0.15062-1.1170.134419
170.1500981.11320.135241
180.1879291.39370.084505
190.0483550.35860.36063
20-0.133162-0.98760.163847
21-0.098185-0.72820.234803
22-0.261627-1.94030.02874
23-0.015781-0.1170.453629
240.3358952.49110.007891
25-0.093634-0.69440.245173
26-0.152835-1.13350.13097
27-0.122431-0.9080.183926
28-0.166687-1.23620.110822
290.0328090.24330.404331
300.0331630.24590.40332
31-0.013732-0.10180.459626
32-0.158806-1.17770.121987
33-0.158583-1.17610.122313
34-0.175952-1.30490.098681
35-0.080083-0.59390.277504
360.1511421.12090.1336







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0587420.43560.3324
2-0.138281-1.02550.154803
30.1047220.77660.22035
4-0.091692-0.680.249678
50.2721572.01840.02422
60.3102892.30120.012598
70.3199752.3730.010583
80.0029940.02220.491183
90.0512690.38020.352624
10-0.371353-2.7540.003982
11-0.165892-1.23030.111913
120.5015663.71970.000235
13-0.046887-0.34770.364689
14-0.01146-0.0850.466288
15-0.073318-0.54370.294409
16-0.051157-0.37940.352929
170.0164880.12230.451563
18-0.204355-1.51550.067682
19-0.211457-1.56820.061284
20-0.196965-1.46070.074889
210.0143590.10650.457791
22-0.044567-0.33050.371133
230.0598610.44390.329414
24-0.130728-0.96950.168269
250.0707790.52490.300877
260.0820280.60830.272736
270.0054580.04050.483929
280.0407110.30190.381926
29-0.172366-1.27830.103256
30-0.121524-0.90120.185693
310.0147790.10960.456561
32-0.034834-0.25830.398556
33-0.068803-0.51030.305958
340.1598491.18550.120464
35-0.023984-0.17790.429739
360.133160.98750.163851

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.058742 & 0.4356 & 0.3324 \tabularnewline
2 & -0.138281 & -1.0255 & 0.154803 \tabularnewline
3 & 0.104722 & 0.7766 & 0.22035 \tabularnewline
4 & -0.091692 & -0.68 & 0.249678 \tabularnewline
5 & 0.272157 & 2.0184 & 0.02422 \tabularnewline
6 & 0.310289 & 2.3012 & 0.012598 \tabularnewline
7 & 0.319975 & 2.373 & 0.010583 \tabularnewline
8 & 0.002994 & 0.0222 & 0.491183 \tabularnewline
9 & 0.051269 & 0.3802 & 0.352624 \tabularnewline
10 & -0.371353 & -2.754 & 0.003982 \tabularnewline
11 & -0.165892 & -1.2303 & 0.111913 \tabularnewline
12 & 0.501566 & 3.7197 & 0.000235 \tabularnewline
13 & -0.046887 & -0.3477 & 0.364689 \tabularnewline
14 & -0.01146 & -0.085 & 0.466288 \tabularnewline
15 & -0.073318 & -0.5437 & 0.294409 \tabularnewline
16 & -0.051157 & -0.3794 & 0.352929 \tabularnewline
17 & 0.016488 & 0.1223 & 0.451563 \tabularnewline
18 & -0.204355 & -1.5155 & 0.067682 \tabularnewline
19 & -0.211457 & -1.5682 & 0.061284 \tabularnewline
20 & -0.196965 & -1.4607 & 0.074889 \tabularnewline
21 & 0.014359 & 0.1065 & 0.457791 \tabularnewline
22 & -0.044567 & -0.3305 & 0.371133 \tabularnewline
23 & 0.059861 & 0.4439 & 0.329414 \tabularnewline
24 & -0.130728 & -0.9695 & 0.168269 \tabularnewline
25 & 0.070779 & 0.5249 & 0.300877 \tabularnewline
26 & 0.082028 & 0.6083 & 0.272736 \tabularnewline
27 & 0.005458 & 0.0405 & 0.483929 \tabularnewline
28 & 0.040711 & 0.3019 & 0.381926 \tabularnewline
29 & -0.172366 & -1.2783 & 0.103256 \tabularnewline
30 & -0.121524 & -0.9012 & 0.185693 \tabularnewline
31 & 0.014779 & 0.1096 & 0.456561 \tabularnewline
32 & -0.034834 & -0.2583 & 0.398556 \tabularnewline
33 & -0.068803 & -0.5103 & 0.305958 \tabularnewline
34 & 0.159849 & 1.1855 & 0.120464 \tabularnewline
35 & -0.023984 & -0.1779 & 0.429739 \tabularnewline
36 & 0.13316 & 0.9875 & 0.163851 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58970&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]0.058742[/C][C]0.4356[/C][C]0.3324[/C][/ROW]
[ROW][C]2[/C][C]-0.138281[/C][C]-1.0255[/C][C]0.154803[/C][/ROW]
[ROW][C]3[/C][C]0.104722[/C][C]0.7766[/C][C]0.22035[/C][/ROW]
[ROW][C]4[/C][C]-0.091692[/C][C]-0.68[/C][C]0.249678[/C][/ROW]
[ROW][C]5[/C][C]0.272157[/C][C]2.0184[/C][C]0.02422[/C][/ROW]
[ROW][C]6[/C][C]0.310289[/C][C]2.3012[/C][C]0.012598[/C][/ROW]
[ROW][C]7[/C][C]0.319975[/C][C]2.373[/C][C]0.010583[/C][/ROW]
[ROW][C]8[/C][C]0.002994[/C][C]0.0222[/C][C]0.491183[/C][/ROW]
[ROW][C]9[/C][C]0.051269[/C][C]0.3802[/C][C]0.352624[/C][/ROW]
[ROW][C]10[/C][C]-0.371353[/C][C]-2.754[/C][C]0.003982[/C][/ROW]
[ROW][C]11[/C][C]-0.165892[/C][C]-1.2303[/C][C]0.111913[/C][/ROW]
[ROW][C]12[/C][C]0.501566[/C][C]3.7197[/C][C]0.000235[/C][/ROW]
[ROW][C]13[/C][C]-0.046887[/C][C]-0.3477[/C][C]0.364689[/C][/ROW]
[ROW][C]14[/C][C]-0.01146[/C][C]-0.085[/C][C]0.466288[/C][/ROW]
[ROW][C]15[/C][C]-0.073318[/C][C]-0.5437[/C][C]0.294409[/C][/ROW]
[ROW][C]16[/C][C]-0.051157[/C][C]-0.3794[/C][C]0.352929[/C][/ROW]
[ROW][C]17[/C][C]0.016488[/C][C]0.1223[/C][C]0.451563[/C][/ROW]
[ROW][C]18[/C][C]-0.204355[/C][C]-1.5155[/C][C]0.067682[/C][/ROW]
[ROW][C]19[/C][C]-0.211457[/C][C]-1.5682[/C][C]0.061284[/C][/ROW]
[ROW][C]20[/C][C]-0.196965[/C][C]-1.4607[/C][C]0.074889[/C][/ROW]
[ROW][C]21[/C][C]0.014359[/C][C]0.1065[/C][C]0.457791[/C][/ROW]
[ROW][C]22[/C][C]-0.044567[/C][C]-0.3305[/C][C]0.371133[/C][/ROW]
[ROW][C]23[/C][C]0.059861[/C][C]0.4439[/C][C]0.329414[/C][/ROW]
[ROW][C]24[/C][C]-0.130728[/C][C]-0.9695[/C][C]0.168269[/C][/ROW]
[ROW][C]25[/C][C]0.070779[/C][C]0.5249[/C][C]0.300877[/C][/ROW]
[ROW][C]26[/C][C]0.082028[/C][C]0.6083[/C][C]0.272736[/C][/ROW]
[ROW][C]27[/C][C]0.005458[/C][C]0.0405[/C][C]0.483929[/C][/ROW]
[ROW][C]28[/C][C]0.040711[/C][C]0.3019[/C][C]0.381926[/C][/ROW]
[ROW][C]29[/C][C]-0.172366[/C][C]-1.2783[/C][C]0.103256[/C][/ROW]
[ROW][C]30[/C][C]-0.121524[/C][C]-0.9012[/C][C]0.185693[/C][/ROW]
[ROW][C]31[/C][C]0.014779[/C][C]0.1096[/C][C]0.456561[/C][/ROW]
[ROW][C]32[/C][C]-0.034834[/C][C]-0.2583[/C][C]0.398556[/C][/ROW]
[ROW][C]33[/C][C]-0.068803[/C][C]-0.5103[/C][C]0.305958[/C][/ROW]
[ROW][C]34[/C][C]0.159849[/C][C]1.1855[/C][C]0.120464[/C][/ROW]
[ROW][C]35[/C][C]-0.023984[/C][C]-0.1779[/C][C]0.429739[/C][/ROW]
[ROW][C]36[/C][C]0.13316[/C][C]0.9875[/C][C]0.163851[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58970&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58970&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
10.0587420.43560.3324
2-0.138281-1.02550.154803
30.1047220.77660.22035
4-0.091692-0.680.249678
50.2721572.01840.02422
60.3102892.30120.012598
70.3199752.3730.010583
80.0029940.02220.491183
90.0512690.38020.352624
10-0.371353-2.7540.003982
11-0.165892-1.23030.111913
120.5015663.71970.000235
13-0.046887-0.34770.364689
14-0.01146-0.0850.466288
15-0.073318-0.54370.294409
16-0.051157-0.37940.352929
170.0164880.12230.451563
18-0.204355-1.51550.067682
19-0.211457-1.56820.061284
20-0.196965-1.46070.074889
210.0143590.10650.457791
22-0.044567-0.33050.371133
230.0598610.44390.329414
24-0.130728-0.96950.168269
250.0707790.52490.300877
260.0820280.60830.272736
270.0054580.04050.483929
280.0407110.30190.381926
29-0.172366-1.27830.103256
30-0.121524-0.90120.185693
310.0147790.10960.456561
32-0.034834-0.25830.398556
33-0.068803-0.51030.305958
340.1598491.18550.120464
35-0.023984-0.17790.429739
360.133160.98750.163851



Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')