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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 04 Dec 2009 13:29:00 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/04/t1259958575jp8l3pgabzd4gd1.htm/, Retrieved Sat, 27 Apr 2024 17:44:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64135, Retrieved Sat, 27 Apr 2024 17:44:30 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

116

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]
-   PD        [(Partial) Autocorrelation Function] [Ws 8.2] [2009-11-25 19:27:18] [830e13ac5e5ac1e5b21c6af0c149b21d]
-   PD          [(Partial) Autocorrelation Function] [WS 9 ACF] [2009-12-04 15:17:34] [830e13ac5e5ac1e5b21c6af0c149b21d]
-   PD              [(Partial) Autocorrelation Function] [ws9 acf] [2009-12-04 20:29:00] [95523ebdb89b97dbf680ec91e0b4bca2] [Current]
- R P                 [(Partial) Autocorrelation Function] [] [2009-12-10 16:08:15] [9b30bff5dd5a100f8196daf92e735633] 

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Dataseries X:

Download CSV

Histogram

Boxplots

2.05
2.11
2.09
2.05
2.08
2.06
2.06
2.08
2.07
2.06
2.07
2.06
2.09
2.07
2.09
2.28
2.33
2.35
2.52
2.63
2.58
2.70
2.81
2.97
3.04
3.28
3.33
3.50
3.56
3.57
3.69
3.82
3.79
3.96
4.06
4.05
4.03
3.94
4.02
3.88
4.02
4.03
4.09
3.99
4.01
4.01
4.19
4.30
4.27
3.82
3.15
2.49
1.81
1.26
1.06
0.84
0.78
0.70
0.36
0.35

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=64135&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=64135&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64135&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.190365	-1.4498	0.076254
2	0.19336	1.4726	0.073134
3	-0.260825	-1.9864	0.025862
4	-0.046663	-0.3554	0.3618
5	-0.318593	-2.4263	0.009191
6	0.143812	1.0952	0.13897
7	-0.015283	-0.1164	0.453872
8	0.103985	0.7919	0.215815
9	-0.073431	-0.5592	0.289079
10	-0.040977	-0.3121	0.378052
11	-0.028543	-0.2174	0.414338
12	-0.076644	-0.5837	0.280843
13	0.19066	1.452	0.075941
14	-0.122566	-0.9334	0.177234
15	0.216974	1.6524	0.051926
16	-0.145044	-1.1046	0.136942
17	0.054983	0.4187	0.338476
18	-0.123459	-0.9402	0.175498
19	0.092329	0.7032	0.242386
20	-0.133472	-1.0165	0.156808
21	0.147056	1.1199	0.133677
22	-0.111036	-0.8456	0.200619
23	0.146982	1.1194	0.133796
24	-0.083177	-0.6335	0.264463
25	-0.034571	-0.2633	0.396632
26	0.026476	0.2016	0.420454
27	-0.040648	-0.3096	0.379001
28	-0.07993	-0.6087	0.272541
29	0.092065	0.7011	0.243007
30	0.017797	0.1355	0.446329
31	-0.032281	-0.2458	0.403335
32	0.035629	0.2713	0.393546
33	0.010385	0.0791	0.468617
34	-0.02336	-0.1779	0.42971
35	-0.054258	-0.4132	0.340486
36	0.040246	0.3065	0.380159
37	-0.026162	-0.1992	0.421384
38	0.01843	0.1404	0.444431
39	0.014124	0.1076	0.457355
40	-0.007229	-0.0551	0.478141
41	0.025115	0.1913	0.42449
42	0.010591	0.0807	0.467997
43	-0.030678	-0.2336	0.408046
44	0.009739	0.0742	0.470566
45	-0.007954	-0.0606	0.475953
46	-0.001324	-0.0101	0.495995
47	0.039584	0.3015	0.382071
48	0.006159	0.0469	0.481374
49	-0.003059	-0.0233	0.490746
50	0.005959	0.0454	0.481979
51	-0.017651	-0.1344	0.446765
52	-0.008304	-0.0632	0.474897
53	0.002102	0.016	0.493641
54	-0.009968	-0.0759	0.469875
55	0.005577	0.0425	0.483133
56	0.00234	0.0178	0.492922
57	-0.005007	-0.0381	0.484856
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.190365 & -1.4498 & 0.076254 \tabularnewline
2 & 0.19336 & 1.4726 & 0.073134 \tabularnewline
3 & -0.260825 & -1.9864 & 0.025862 \tabularnewline
4 & -0.046663 & -0.3554 & 0.3618 \tabularnewline
5 & -0.318593 & -2.4263 & 0.009191 \tabularnewline
6 & 0.143812 & 1.0952 & 0.13897 \tabularnewline
7 & -0.015283 & -0.1164 & 0.453872 \tabularnewline
8 & 0.103985 & 0.7919 & 0.215815 \tabularnewline
9 & -0.073431 & -0.5592 & 0.289079 \tabularnewline
10 & -0.040977 & -0.3121 & 0.378052 \tabularnewline
11 & -0.028543 & -0.2174 & 0.414338 \tabularnewline
12 & -0.076644 & -0.5837 & 0.280843 \tabularnewline
13 & 0.19066 & 1.452 & 0.075941 \tabularnewline
14 & -0.122566 & -0.9334 & 0.177234 \tabularnewline
15 & 0.216974 & 1.6524 & 0.051926 \tabularnewline
16 & -0.145044 & -1.1046 & 0.136942 \tabularnewline
17 & 0.054983 & 0.4187 & 0.338476 \tabularnewline
18 & -0.123459 & -0.9402 & 0.175498 \tabularnewline
19 & 0.092329 & 0.7032 & 0.242386 \tabularnewline
20 & -0.133472 & -1.0165 & 0.156808 \tabularnewline
21 & 0.147056 & 1.1199 & 0.133677 \tabularnewline
22 & -0.111036 & -0.8456 & 0.200619 \tabularnewline
23 & 0.146982 & 1.1194 & 0.133796 \tabularnewline
24 & -0.083177 & -0.6335 & 0.264463 \tabularnewline
25 & -0.034571 & -0.2633 & 0.396632 \tabularnewline
26 & 0.026476 & 0.2016 & 0.420454 \tabularnewline
27 & -0.040648 & -0.3096 & 0.379001 \tabularnewline
28 & -0.07993 & -0.6087 & 0.272541 \tabularnewline
29 & 0.092065 & 0.7011 & 0.243007 \tabularnewline
30 & 0.017797 & 0.1355 & 0.446329 \tabularnewline
31 & -0.032281 & -0.2458 & 0.403335 \tabularnewline
32 & 0.035629 & 0.2713 & 0.393546 \tabularnewline
33 & 0.010385 & 0.0791 & 0.468617 \tabularnewline
34 & -0.02336 & -0.1779 & 0.42971 \tabularnewline
35 & -0.054258 & -0.4132 & 0.340486 \tabularnewline
36 & 0.040246 & 0.3065 & 0.380159 \tabularnewline
37 & -0.026162 & -0.1992 & 0.421384 \tabularnewline
38 & 0.01843 & 0.1404 & 0.444431 \tabularnewline
39 & 0.014124 & 0.1076 & 0.457355 \tabularnewline
40 & -0.007229 & -0.0551 & 0.478141 \tabularnewline
41 & 0.025115 & 0.1913 & 0.42449 \tabularnewline
42 & 0.010591 & 0.0807 & 0.467997 \tabularnewline
43 & -0.030678 & -0.2336 & 0.408046 \tabularnewline
44 & 0.009739 & 0.0742 & 0.470566 \tabularnewline
45 & -0.007954 & -0.0606 & 0.475953 \tabularnewline
46 & -0.001324 & -0.0101 & 0.495995 \tabularnewline
47 & 0.039584 & 0.3015 & 0.382071 \tabularnewline
48 & 0.006159 & 0.0469 & 0.481374 \tabularnewline
49 & -0.003059 & -0.0233 & 0.490746 \tabularnewline
50 & 0.005959 & 0.0454 & 0.481979 \tabularnewline
51 & -0.017651 & -0.1344 & 0.446765 \tabularnewline
52 & -0.008304 & -0.0632 & 0.474897 \tabularnewline
53 & 0.002102 & 0.016 & 0.493641 \tabularnewline
54 & -0.009968 & -0.0759 & 0.469875 \tabularnewline
55 & 0.005577 & 0.0425 & 0.483133 \tabularnewline
56 & 0.00234 & 0.0178 & 0.492922 \tabularnewline
57 & -0.005007 & -0.0381 & 0.484856 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64135&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]-0.190365[/C][C]-1.4498[/C][C]0.076254[/C][/ROW]
[ROW][C]2[/C][C]0.19336[/C][C]1.4726[/C][C]0.073134[/C][/ROW]
[ROW][C]3[/C][C]-0.260825[/C][C]-1.9864[/C][C]0.025862[/C][/ROW]
[ROW][C]4[/C][C]-0.046663[/C][C]-0.3554[/C][C]0.3618[/C][/ROW]
[ROW][C]5[/C][C]-0.318593[/C][C]-2.4263[/C][C]0.009191[/C][/ROW]
[ROW][C]6[/C][C]0.143812[/C][C]1.0952[/C][C]0.13897[/C][/ROW]
[ROW][C]7[/C][C]-0.015283[/C][C]-0.1164[/C][C]0.453872[/C][/ROW]
[ROW][C]8[/C][C]0.103985[/C][C]0.7919[/C][C]0.215815[/C][/ROW]
[ROW][C]9[/C][C]-0.073431[/C][C]-0.5592[/C][C]0.289079[/C][/ROW]
[ROW][C]10[/C][C]-0.040977[/C][C]-0.3121[/C][C]0.378052[/C][/ROW]
[ROW][C]11[/C][C]-0.028543[/C][C]-0.2174[/C][C]0.414338[/C][/ROW]
[ROW][C]12[/C][C]-0.076644[/C][C]-0.5837[/C][C]0.280843[/C][/ROW]
[ROW][C]13[/C][C]0.19066[/C][C]1.452[/C][C]0.075941[/C][/ROW]
[ROW][C]14[/C][C]-0.122566[/C][C]-0.9334[/C][C]0.177234[/C][/ROW]
[ROW][C]15[/C][C]0.216974[/C][C]1.6524[/C][C]0.051926[/C][/ROW]
[ROW][C]16[/C][C]-0.145044[/C][C]-1.1046[/C][C]0.136942[/C][/ROW]
[ROW][C]17[/C][C]0.054983[/C][C]0.4187[/C][C]0.338476[/C][/ROW]
[ROW][C]18[/C][C]-0.123459[/C][C]-0.9402[/C][C]0.175498[/C][/ROW]
[ROW][C]19[/C][C]0.092329[/C][C]0.7032[/C][C]0.242386[/C][/ROW]
[ROW][C]20[/C][C]-0.133472[/C][C]-1.0165[/C][C]0.156808[/C][/ROW]
[ROW][C]21[/C][C]0.147056[/C][C]1.1199[/C][C]0.133677[/C][/ROW]
[ROW][C]22[/C][C]-0.111036[/C][C]-0.8456[/C][C]0.200619[/C][/ROW]
[ROW][C]23[/C][C]0.146982[/C][C]1.1194[/C][C]0.133796[/C][/ROW]
[ROW][C]24[/C][C]-0.083177[/C][C]-0.6335[/C][C]0.264463[/C][/ROW]
[ROW][C]25[/C][C]-0.034571[/C][C]-0.2633[/C][C]0.396632[/C][/ROW]
[ROW][C]26[/C][C]0.026476[/C][C]0.2016[/C][C]0.420454[/C][/ROW]
[ROW][C]27[/C][C]-0.040648[/C][C]-0.3096[/C][C]0.379001[/C][/ROW]
[ROW][C]28[/C][C]-0.07993[/C][C]-0.6087[/C][C]0.272541[/C][/ROW]
[ROW][C]29[/C][C]0.092065[/C][C]0.7011[/C][C]0.243007[/C][/ROW]
[ROW][C]30[/C][C]0.017797[/C][C]0.1355[/C][C]0.446329[/C][/ROW]
[ROW][C]31[/C][C]-0.032281[/C][C]-0.2458[/C][C]0.403335[/C][/ROW]
[ROW][C]32[/C][C]0.035629[/C][C]0.2713[/C][C]0.393546[/C][/ROW]
[ROW][C]33[/C][C]0.010385[/C][C]0.0791[/C][C]0.468617[/C][/ROW]
[ROW][C]34[/C][C]-0.02336[/C][C]-0.1779[/C][C]0.42971[/C][/ROW]
[ROW][C]35[/C][C]-0.054258[/C][C]-0.4132[/C][C]0.340486[/C][/ROW]
[ROW][C]36[/C][C]0.040246[/C][C]0.3065[/C][C]0.380159[/C][/ROW]
[ROW][C]37[/C][C]-0.026162[/C][C]-0.1992[/C][C]0.421384[/C][/ROW]
[ROW][C]38[/C][C]0.01843[/C][C]0.1404[/C][C]0.444431[/C][/ROW]
[ROW][C]39[/C][C]0.014124[/C][C]0.1076[/C][C]0.457355[/C][/ROW]
[ROW][C]40[/C][C]-0.007229[/C][C]-0.0551[/C][C]0.478141[/C][/ROW]
[ROW][C]41[/C][C]0.025115[/C][C]0.1913[/C][C]0.42449[/C][/ROW]
[ROW][C]42[/C][C]0.010591[/C][C]0.0807[/C][C]0.467997[/C][/ROW]
[ROW][C]43[/C][C]-0.030678[/C][C]-0.2336[/C][C]0.408046[/C][/ROW]
[ROW][C]44[/C][C]0.009739[/C][C]0.0742[/C][C]0.470566[/C][/ROW]
[ROW][C]45[/C][C]-0.007954[/C][C]-0.0606[/C][C]0.475953[/C][/ROW]
[ROW][C]46[/C][C]-0.001324[/C][C]-0.0101[/C][C]0.495995[/C][/ROW]
[ROW][C]47[/C][C]0.039584[/C][C]0.3015[/C][C]0.382071[/C][/ROW]
[ROW][C]48[/C][C]0.006159[/C][C]0.0469[/C][C]0.481374[/C][/ROW]
[ROW][C]49[/C][C]-0.003059[/C][C]-0.0233[/C][C]0.490746[/C][/ROW]
[ROW][C]50[/C][C]0.005959[/C][C]0.0454[/C][C]0.481979[/C][/ROW]
[ROW][C]51[/C][C]-0.017651[/C][C]-0.1344[/C][C]0.446765[/C][/ROW]
[ROW][C]52[/C][C]-0.008304[/C][C]-0.0632[/C][C]0.474897[/C][/ROW]
[ROW][C]53[/C][C]0.002102[/C][C]0.016[/C][C]0.493641[/C][/ROW]
[ROW][C]54[/C][C]-0.009968[/C][C]-0.0759[/C][C]0.469875[/C][/ROW]
[ROW][C]55[/C][C]0.005577[/C][C]0.0425[/C][C]0.483133[/C][/ROW]
[ROW][C]56[/C][C]0.00234[/C][C]0.0178[/C][C]0.492922[/C][/ROW]
[ROW][C]57[/C][C]-0.005007[/C][C]-0.0381[/C][C]0.484856[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64135&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64135&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 k	ACF(k)	T-STAT	P-value
1	-0.190365	-1.4498	0.076254
2	0.19336	1.4726	0.073134
3	-0.260825	-1.9864	0.025862
4	-0.046663	-0.3554	0.3618
5	-0.318593	-2.4263	0.009191
6	0.143812	1.0952	0.13897
7	-0.015283	-0.1164	0.453872
8	0.103985	0.7919	0.215815
9	-0.073431	-0.5592	0.289079
10	-0.040977	-0.3121	0.378052
11	-0.028543	-0.2174	0.414338
12	-0.076644	-0.5837	0.280843
13	0.19066	1.452	0.075941
14	-0.122566	-0.9334	0.177234
15	0.216974	1.6524	0.051926
16	-0.145044	-1.1046	0.136942
17	0.054983	0.4187	0.338476
18	-0.123459	-0.9402	0.175498
19	0.092329	0.7032	0.242386
20	-0.133472	-1.0165	0.156808
21	0.147056	1.1199	0.133677
22	-0.111036	-0.8456	0.200619
23	0.146982	1.1194	0.133796
24	-0.083177	-0.6335	0.264463
25	-0.034571	-0.2633	0.396632
26	0.026476	0.2016	0.420454
27	-0.040648	-0.3096	0.379001
28	-0.07993	-0.6087	0.272541
29	0.092065	0.7011	0.243007
30	0.017797	0.1355	0.446329
31	-0.032281	-0.2458	0.403335
32	0.035629	0.2713	0.393546
33	0.010385	0.0791	0.468617
34	-0.02336	-0.1779	0.42971
35	-0.054258	-0.4132	0.340486
36	0.040246	0.3065	0.380159
37	-0.026162	-0.1992	0.421384
38	0.01843	0.1404	0.444431
39	0.014124	0.1076	0.457355
40	-0.007229	-0.0551	0.478141
41	0.025115	0.1913	0.42449
42	0.010591	0.0807	0.467997
43	-0.030678	-0.2336	0.408046
44	0.009739	0.0742	0.470566
45	-0.007954	-0.0606	0.475953
46	-0.001324	-0.0101	0.495995
47	0.039584	0.3015	0.382071
48	0.006159	0.0469	0.481374
49	-0.003059	-0.0233	0.490746
50	0.005959	0.0454	0.481979
51	-0.017651	-0.1344	0.446765
52	-0.008304	-0.0632	0.474897
53	0.002102	0.016	0.493641
54	-0.009968	-0.0759	0.469875
55	0.005577	0.0425	0.483133
56	0.00234	0.0178	0.492922
57	-0.005007	-0.0381	0.484856
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.190365	-1.4498	0.076254
2	0.16303	1.2416	0.109691
3	-0.212101	-1.6153	0.055835
4	-0.161357	-1.2289	0.112044
5	-0.312482	-2.3798	0.010316
6	0.017397	0.1325	0.447526
7	0.049612	0.3778	0.353466
8	-0.069602	-0.5301	0.299041
9	-0.152016	-1.1577	0.125862
10	-0.186091	-1.4172	0.080883
11	0.014065	0.1071	0.457535
12	-0.103031	-0.7847	0.217923
13	0.118804	0.9048	0.184662
14	-0.194133	-1.4785	0.072346
15	0.062637	0.477	0.317568
16	-0.030745	-0.2341	0.407848
17	-0.056799	-0.4326	0.333467
18	0.009215	0.0702	0.472147
19	-0.050315	-0.3832	0.351492
20	-0.051754	-0.3941	0.347459
21	-0.002982	-0.0227	0.490979
22	-0.054934	-0.4184	0.338613
23	0.066664	0.5077	0.306794
24	-0.005235	-0.0399	0.484168
25	-0.149147	-1.1359	0.130342
26	0.032094	0.2444	0.403883
27	-0.01026	-0.0781	0.468995
28	-0.187184	-1.4255	0.079679
29	0.074862	0.5701	0.285395
30	-0.043442	-0.3308	0.370977
31	-0.082438	-0.6278	0.266291
32	-0.028498	-0.217	0.414471
33	0.006888	0.0525	0.479173
34	-0.061668	-0.4697	0.320182
35	-0.052122	-0.397	0.34643
36	-0.096815	-0.7373	0.23195
37	-0.024047	-0.1831	0.427663
38	-0.013131	-0.1	0.460345
39	-0.085181	-0.6487	0.259539
40	-0.034619	-0.2637	0.396491
41	0.009973	0.076	0.469859
42	-0.062096	-0.4729	0.319026
43	0.003519	0.0268	0.489355
44	-0.082037	-0.6248	0.267284
45	-0.06111	-0.4654	0.321693
46	0.015381	0.1171	0.453577
47	0.00587	0.0447	0.482249
48	-0.027787	-0.2116	0.416574
49	-0.028512	-0.2171	0.414429
50	-0.020004	-0.1523	0.439722
51	0.040407	0.3077	0.379695
52	-0.034739	-0.2646	0.396142
53	-0.042562	-0.3241	0.373499
54	-0.004811	-0.0366	0.485449
55	-0.024237	-0.1846	0.427101
56	-0.048444	-0.3689	0.356757
57	0.03425	0.2608	0.397571
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.190365 & -1.4498 & 0.076254 \tabularnewline
2 & 0.16303 & 1.2416 & 0.109691 \tabularnewline
3 & -0.212101 & -1.6153 & 0.055835 \tabularnewline
4 & -0.161357 & -1.2289 & 0.112044 \tabularnewline
5 & -0.312482 & -2.3798 & 0.010316 \tabularnewline
6 & 0.017397 & 0.1325 & 0.447526 \tabularnewline
7 & 0.049612 & 0.3778 & 0.353466 \tabularnewline
8 & -0.069602 & -0.5301 & 0.299041 \tabularnewline
9 & -0.152016 & -1.1577 & 0.125862 \tabularnewline
10 & -0.186091 & -1.4172 & 0.080883 \tabularnewline
11 & 0.014065 & 0.1071 & 0.457535 \tabularnewline
12 & -0.103031 & -0.7847 & 0.217923 \tabularnewline
13 & 0.118804 & 0.9048 & 0.184662 \tabularnewline
14 & -0.194133 & -1.4785 & 0.072346 \tabularnewline
15 & 0.062637 & 0.477 & 0.317568 \tabularnewline
16 & -0.030745 & -0.2341 & 0.407848 \tabularnewline
17 & -0.056799 & -0.4326 & 0.333467 \tabularnewline
18 & 0.009215 & 0.0702 & 0.472147 \tabularnewline
19 & -0.050315 & -0.3832 & 0.351492 \tabularnewline
20 & -0.051754 & -0.3941 & 0.347459 \tabularnewline
21 & -0.002982 & -0.0227 & 0.490979 \tabularnewline
22 & -0.054934 & -0.4184 & 0.338613 \tabularnewline
23 & 0.066664 & 0.5077 & 0.306794 \tabularnewline
24 & -0.005235 & -0.0399 & 0.484168 \tabularnewline
25 & -0.149147 & -1.1359 & 0.130342 \tabularnewline
26 & 0.032094 & 0.2444 & 0.403883 \tabularnewline
27 & -0.01026 & -0.0781 & 0.468995 \tabularnewline
28 & -0.187184 & -1.4255 & 0.079679 \tabularnewline
29 & 0.074862 & 0.5701 & 0.285395 \tabularnewline
30 & -0.043442 & -0.3308 & 0.370977 \tabularnewline
31 & -0.082438 & -0.6278 & 0.266291 \tabularnewline
32 & -0.028498 & -0.217 & 0.414471 \tabularnewline
33 & 0.006888 & 0.0525 & 0.479173 \tabularnewline
34 & -0.061668 & -0.4697 & 0.320182 \tabularnewline
35 & -0.052122 & -0.397 & 0.34643 \tabularnewline
36 & -0.096815 & -0.7373 & 0.23195 \tabularnewline
37 & -0.024047 & -0.1831 & 0.427663 \tabularnewline
38 & -0.013131 & -0.1 & 0.460345 \tabularnewline
39 & -0.085181 & -0.6487 & 0.259539 \tabularnewline
40 & -0.034619 & -0.2637 & 0.396491 \tabularnewline
41 & 0.009973 & 0.076 & 0.469859 \tabularnewline
42 & -0.062096 & -0.4729 & 0.319026 \tabularnewline
43 & 0.003519 & 0.0268 & 0.489355 \tabularnewline
44 & -0.082037 & -0.6248 & 0.267284 \tabularnewline
45 & -0.06111 & -0.4654 & 0.321693 \tabularnewline
46 & 0.015381 & 0.1171 & 0.453577 \tabularnewline
47 & 0.00587 & 0.0447 & 0.482249 \tabularnewline
48 & -0.027787 & -0.2116 & 0.416574 \tabularnewline
49 & -0.028512 & -0.2171 & 0.414429 \tabularnewline
50 & -0.020004 & -0.1523 & 0.439722 \tabularnewline
51 & 0.040407 & 0.3077 & 0.379695 \tabularnewline
52 & -0.034739 & -0.2646 & 0.396142 \tabularnewline
53 & -0.042562 & -0.3241 & 0.373499 \tabularnewline
54 & -0.004811 & -0.0366 & 0.485449 \tabularnewline
55 & -0.024237 & -0.1846 & 0.427101 \tabularnewline
56 & -0.048444 & -0.3689 & 0.356757 \tabularnewline
57 & 0.03425 & 0.2608 & 0.397571 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64135&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]-0.190365[/C][C]-1.4498[/C][C]0.076254[/C][/ROW]
[ROW][C]2[/C][C]0.16303[/C][C]1.2416[/C][C]0.109691[/C][/ROW]
[ROW][C]3[/C][C]-0.212101[/C][C]-1.6153[/C][C]0.055835[/C][/ROW]
[ROW][C]4[/C][C]-0.161357[/C][C]-1.2289[/C][C]0.112044[/C][/ROW]
[ROW][C]5[/C][C]-0.312482[/C][C]-2.3798[/C][C]0.010316[/C][/ROW]
[ROW][C]6[/C][C]0.017397[/C][C]0.1325[/C][C]0.447526[/C][/ROW]
[ROW][C]7[/C][C]0.049612[/C][C]0.3778[/C][C]0.353466[/C][/ROW]
[ROW][C]8[/C][C]-0.069602[/C][C]-0.5301[/C][C]0.299041[/C][/ROW]
[ROW][C]9[/C][C]-0.152016[/C][C]-1.1577[/C][C]0.125862[/C][/ROW]
[ROW][C]10[/C][C]-0.186091[/C][C]-1.4172[/C][C]0.080883[/C][/ROW]
[ROW][C]11[/C][C]0.014065[/C][C]0.1071[/C][C]0.457535[/C][/ROW]
[ROW][C]12[/C][C]-0.103031[/C][C]-0.7847[/C][C]0.217923[/C][/ROW]
[ROW][C]13[/C][C]0.118804[/C][C]0.9048[/C][C]0.184662[/C][/ROW]
[ROW][C]14[/C][C]-0.194133[/C][C]-1.4785[/C][C]0.072346[/C][/ROW]
[ROW][C]15[/C][C]0.062637[/C][C]0.477[/C][C]0.317568[/C][/ROW]
[ROW][C]16[/C][C]-0.030745[/C][C]-0.2341[/C][C]0.407848[/C][/ROW]
[ROW][C]17[/C][C]-0.056799[/C][C]-0.4326[/C][C]0.333467[/C][/ROW]
[ROW][C]18[/C][C]0.009215[/C][C]0.0702[/C][C]0.472147[/C][/ROW]
[ROW][C]19[/C][C]-0.050315[/C][C]-0.3832[/C][C]0.351492[/C][/ROW]
[ROW][C]20[/C][C]-0.051754[/C][C]-0.3941[/C][C]0.347459[/C][/ROW]
[ROW][C]21[/C][C]-0.002982[/C][C]-0.0227[/C][C]0.490979[/C][/ROW]
[ROW][C]22[/C][C]-0.054934[/C][C]-0.4184[/C][C]0.338613[/C][/ROW]
[ROW][C]23[/C][C]0.066664[/C][C]0.5077[/C][C]0.306794[/C][/ROW]
[ROW][C]24[/C][C]-0.005235[/C][C]-0.0399[/C][C]0.484168[/C][/ROW]
[ROW][C]25[/C][C]-0.149147[/C][C]-1.1359[/C][C]0.130342[/C][/ROW]
[ROW][C]26[/C][C]0.032094[/C][C]0.2444[/C][C]0.403883[/C][/ROW]
[ROW][C]27[/C][C]-0.01026[/C][C]-0.0781[/C][C]0.468995[/C][/ROW]
[ROW][C]28[/C][C]-0.187184[/C][C]-1.4255[/C][C]0.079679[/C][/ROW]
[ROW][C]29[/C][C]0.074862[/C][C]0.5701[/C][C]0.285395[/C][/ROW]
[ROW][C]30[/C][C]-0.043442[/C][C]-0.3308[/C][C]0.370977[/C][/ROW]
[ROW][C]31[/C][C]-0.082438[/C][C]-0.6278[/C][C]0.266291[/C][/ROW]
[ROW][C]32[/C][C]-0.028498[/C][C]-0.217[/C][C]0.414471[/C][/ROW]
[ROW][C]33[/C][C]0.006888[/C][C]0.0525[/C][C]0.479173[/C][/ROW]
[ROW][C]34[/C][C]-0.061668[/C][C]-0.4697[/C][C]0.320182[/C][/ROW]
[ROW][C]35[/C][C]-0.052122[/C][C]-0.397[/C][C]0.34643[/C][/ROW]
[ROW][C]36[/C][C]-0.096815[/C][C]-0.7373[/C][C]0.23195[/C][/ROW]
[ROW][C]37[/C][C]-0.024047[/C][C]-0.1831[/C][C]0.427663[/C][/ROW]
[ROW][C]38[/C][C]-0.013131[/C][C]-0.1[/C][C]0.460345[/C][/ROW]
[ROW][C]39[/C][C]-0.085181[/C][C]-0.6487[/C][C]0.259539[/C][/ROW]
[ROW][C]40[/C][C]-0.034619[/C][C]-0.2637[/C][C]0.396491[/C][/ROW]
[ROW][C]41[/C][C]0.009973[/C][C]0.076[/C][C]0.469859[/C][/ROW]
[ROW][C]42[/C][C]-0.062096[/C][C]-0.4729[/C][C]0.319026[/C][/ROW]
[ROW][C]43[/C][C]0.003519[/C][C]0.0268[/C][C]0.489355[/C][/ROW]
[ROW][C]44[/C][C]-0.082037[/C][C]-0.6248[/C][C]0.267284[/C][/ROW]
[ROW][C]45[/C][C]-0.06111[/C][C]-0.4654[/C][C]0.321693[/C][/ROW]
[ROW][C]46[/C][C]0.015381[/C][C]0.1171[/C][C]0.453577[/C][/ROW]
[ROW][C]47[/C][C]0.00587[/C][C]0.0447[/C][C]0.482249[/C][/ROW]
[ROW][C]48[/C][C]-0.027787[/C][C]-0.2116[/C][C]0.416574[/C][/ROW]
[ROW][C]49[/C][C]-0.028512[/C][C]-0.2171[/C][C]0.414429[/C][/ROW]
[ROW][C]50[/C][C]-0.020004[/C][C]-0.1523[/C][C]0.439722[/C][/ROW]
[ROW][C]51[/C][C]0.040407[/C][C]0.3077[/C][C]0.379695[/C][/ROW]
[ROW][C]52[/C][C]-0.034739[/C][C]-0.2646[/C][C]0.396142[/C][/ROW]
[ROW][C]53[/C][C]-0.042562[/C][C]-0.3241[/C][C]0.373499[/C][/ROW]
[ROW][C]54[/C][C]-0.004811[/C][C]-0.0366[/C][C]0.485449[/C][/ROW]
[ROW][C]55[/C][C]-0.024237[/C][C]-0.1846[/C][C]0.427101[/C][/ROW]
[ROW][C]56[/C][C]-0.048444[/C][C]-0.3689[/C][C]0.356757[/C][/ROW]
[ROW][C]57[/C][C]0.03425[/C][C]0.2608[/C][C]0.397571[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64135&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64135&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 k	PACF(k)	T-STAT	P-value
1	-0.190365	-1.4498	0.076254
2	0.16303	1.2416	0.109691
3	-0.212101	-1.6153	0.055835
4	-0.161357	-1.2289	0.112044
5	-0.312482	-2.3798	0.010316
6	0.017397	0.1325	0.447526
7	0.049612	0.3778	0.353466
8	-0.069602	-0.5301	0.299041
9	-0.152016	-1.1577	0.125862
10	-0.186091	-1.4172	0.080883
11	0.014065	0.1071	0.457535
12	-0.103031	-0.7847	0.217923
13	0.118804	0.9048	0.184662
14	-0.194133	-1.4785	0.072346
15	0.062637	0.477	0.317568
16	-0.030745	-0.2341	0.407848
17	-0.056799	-0.4326	0.333467
18	0.009215	0.0702	0.472147
19	-0.050315	-0.3832	0.351492
20	-0.051754	-0.3941	0.347459
21	-0.002982	-0.0227	0.490979
22	-0.054934	-0.4184	0.338613
23	0.066664	0.5077	0.306794
24	-0.005235	-0.0399	0.484168
25	-0.149147	-1.1359	0.130342
26	0.032094	0.2444	0.403883
27	-0.01026	-0.0781	0.468995
28	-0.187184	-1.4255	0.079679
29	0.074862	0.5701	0.285395
30	-0.043442	-0.3308	0.370977
31	-0.082438	-0.6278	0.266291
32	-0.028498	-0.217	0.414471
33	0.006888	0.0525	0.479173
34	-0.061668	-0.4697	0.320182
35	-0.052122	-0.397	0.34643
36	-0.096815	-0.7373	0.23195
37	-0.024047	-0.1831	0.427663
38	-0.013131	-0.1	0.460345
39	-0.085181	-0.6487	0.259539
40	-0.034619	-0.2637	0.396491
41	0.009973	0.076	0.469859
42	-0.062096	-0.4729	0.319026
43	0.003519	0.0268	0.489355
44	-0.082037	-0.6248	0.267284
45	-0.06111	-0.4654	0.321693
46	0.015381	0.1171	0.453577
47	0.00587	0.0447	0.482249
48	-0.027787	-0.2116	0.416574
49	-0.028512	-0.2171	0.414429
50	-0.020004	-0.1523	0.439722
51	0.040407	0.3077	0.379695
52	-0.034739	-0.2646	0.396142
53	-0.042562	-0.3241	0.373499
54	-0.004811	-0.0366	0.485449
55	-0.024237	-0.1846	0.427101
56	-0.048444	-0.3689	0.356757
57	0.03425	0.2608	0.397571
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 1.7 ; par3 = 2 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 60 ; par2 = 1.7 ; par3 = 2 ; 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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code