Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 25 Nov 2009 04:56:04 -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/Nov/25/t1259150274mdfik9gudzhaskw.htm/, Retrieved Tue, 07 May 2024 07:06:11 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59344, Retrieved Tue, 07 May 2024 07:06:11 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Ws8 method 1 3de link

Estimated Impact

172

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 12:26:39] [b98453cac15ba1066b407e146608df68]
-    D        [(Partial) Autocorrelation Function] [Ws8 method 1 link 3] [2009-11-25 11:51:12] [616e2df490b611f6cb7080068870ecbd]
-   P             [(Partial) Autocorrelation Function] [Ws8 method 1 3de ...] [2009-11-25 11:56:04] [88e98f4c87ea17c4967db8279bda8533] [Current]
-   P               [(Partial) Autocorrelation Function] [ws 8 d=1 en D=1] [2009-12-17 15:59:07] [616e2df490b611f6cb7080068870ecbd] 
-   P                 [(Partial) Autocorrelation Function] [ws 8 d=1 en D=0] [2009-12-17 18:57:18] [616e2df490b611f6cb7080068870ecbd] 

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

8.2
8.0
7.5
6.8
6.5
6.6
7.6
8.0
8.1
7.7
7.5
7.6
7.8
7.8
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.2
7.9
7.3
6.9
6.6
6.7
6.9
7.0
7.1
7.2
7.1
6.9
7.0
6.8
6.4
6.7
6.6
6.4
6.3
6.2
6.5
6.8
6.8
6.4
6.1
5.8
6.1
7.2
7.3
6.9
6.1
5.8
6.2
7.1
7.7
7.9
7.7
7.4
7.5
8.0
8.1

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=59344&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=59344&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59344&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	0.443785	2.9101	0.002851
2	0.044736	0.2934	0.385331
3	-0.323836	-2.1235	0.019751
4	-0.350684	-2.2996	0.013195
5	-0.132414	-0.8683	0.195026
6	0.040561	0.266	0.395765
7	0.127654	0.8371	0.203587
8	0.028437	0.1865	0.426474
9	-0.067328	-0.4415	0.330533
10	-0.085225	-0.5589	0.28958
11	0.072561	0.4758	0.318307
12	-0.032425	-0.2126	0.416311
13	0.072964	0.4785	0.317375
14	0.004174	0.0274	0.489145
15	-0.057786	-0.3789	0.353304
16	-0.165189	-1.0832	0.142375
17	-0.172483	-1.131	0.132152
18	0.015064	0.0988	0.460886
19	0.109283	0.7166	0.238742
20	0.257699	1.6898	0.049148
21	0.198452	1.3013	0.100036
22	0.039219	0.2572	0.399134
23	-0.227839	-1.494	0.071233
24	-0.26709	-1.7514	0.043502
25	-0.180292	-1.1823	0.121801
26	-0.091349	-0.599	0.276152
27	-0.024426	-0.1602	0.436749
28	-0.013079	-0.0858	0.466025
29	0.04265	0.2797	0.390534
30	0.006729	0.0441	0.482506
31	0.070767	0.4641	0.322475
32	0.037879	0.2484	0.402509
33	0.044047	0.2888	0.387047
34	-0.066093	-0.4334	0.333445
35	-0.065374	-0.4287	0.335146
36	-0.062805	-0.4118	0.34125

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.443785 & 2.9101 & 0.002851 \tabularnewline
2 & 0.044736 & 0.2934 & 0.385331 \tabularnewline
3 & -0.323836 & -2.1235 & 0.019751 \tabularnewline
4 & -0.350684 & -2.2996 & 0.013195 \tabularnewline
5 & -0.132414 & -0.8683 & 0.195026 \tabularnewline
6 & 0.040561 & 0.266 & 0.395765 \tabularnewline
7 & 0.127654 & 0.8371 & 0.203587 \tabularnewline
8 & 0.028437 & 0.1865 & 0.426474 \tabularnewline
9 & -0.067328 & -0.4415 & 0.330533 \tabularnewline
10 & -0.085225 & -0.5589 & 0.28958 \tabularnewline
11 & 0.072561 & 0.4758 & 0.318307 \tabularnewline
12 & -0.032425 & -0.2126 & 0.416311 \tabularnewline
13 & 0.072964 & 0.4785 & 0.317375 \tabularnewline
14 & 0.004174 & 0.0274 & 0.489145 \tabularnewline
15 & -0.057786 & -0.3789 & 0.353304 \tabularnewline
16 & -0.165189 & -1.0832 & 0.142375 \tabularnewline
17 & -0.172483 & -1.131 & 0.132152 \tabularnewline
18 & 0.015064 & 0.0988 & 0.460886 \tabularnewline
19 & 0.109283 & 0.7166 & 0.238742 \tabularnewline
20 & 0.257699 & 1.6898 & 0.049148 \tabularnewline
21 & 0.198452 & 1.3013 & 0.100036 \tabularnewline
22 & 0.039219 & 0.2572 & 0.399134 \tabularnewline
23 & -0.227839 & -1.494 & 0.071233 \tabularnewline
24 & -0.26709 & -1.7514 & 0.043502 \tabularnewline
25 & -0.180292 & -1.1823 & 0.121801 \tabularnewline
26 & -0.091349 & -0.599 & 0.276152 \tabularnewline
27 & -0.024426 & -0.1602 & 0.436749 \tabularnewline
28 & -0.013079 & -0.0858 & 0.466025 \tabularnewline
29 & 0.04265 & 0.2797 & 0.390534 \tabularnewline
30 & 0.006729 & 0.0441 & 0.482506 \tabularnewline
31 & 0.070767 & 0.4641 & 0.322475 \tabularnewline
32 & 0.037879 & 0.2484 & 0.402509 \tabularnewline
33 & 0.044047 & 0.2888 & 0.387047 \tabularnewline
34 & -0.066093 & -0.4334 & 0.333445 \tabularnewline
35 & -0.065374 & -0.4287 & 0.335146 \tabularnewline
36 & -0.062805 & -0.4118 & 0.34125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59344&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]0.443785[/C][C]2.9101[/C][C]0.002851[/C][/ROW]
[ROW][C]2[/C][C]0.044736[/C][C]0.2934[/C][C]0.385331[/C][/ROW]
[ROW][C]3[/C][C]-0.323836[/C][C]-2.1235[/C][C]0.019751[/C][/ROW]
[ROW][C]4[/C][C]-0.350684[/C][C]-2.2996[/C][C]0.013195[/C][/ROW]
[ROW][C]5[/C][C]-0.132414[/C][C]-0.8683[/C][C]0.195026[/C][/ROW]
[ROW][C]6[/C][C]0.040561[/C][C]0.266[/C][C]0.395765[/C][/ROW]
[ROW][C]7[/C][C]0.127654[/C][C]0.8371[/C][C]0.203587[/C][/ROW]
[ROW][C]8[/C][C]0.028437[/C][C]0.1865[/C][C]0.426474[/C][/ROW]
[ROW][C]9[/C][C]-0.067328[/C][C]-0.4415[/C][C]0.330533[/C][/ROW]
[ROW][C]10[/C][C]-0.085225[/C][C]-0.5589[/C][C]0.28958[/C][/ROW]
[ROW][C]11[/C][C]0.072561[/C][C]0.4758[/C][C]0.318307[/C][/ROW]
[ROW][C]12[/C][C]-0.032425[/C][C]-0.2126[/C][C]0.416311[/C][/ROW]
[ROW][C]13[/C][C]0.072964[/C][C]0.4785[/C][C]0.317375[/C][/ROW]
[ROW][C]14[/C][C]0.004174[/C][C]0.0274[/C][C]0.489145[/C][/ROW]
[ROW][C]15[/C][C]-0.057786[/C][C]-0.3789[/C][C]0.353304[/C][/ROW]
[ROW][C]16[/C][C]-0.165189[/C][C]-1.0832[/C][C]0.142375[/C][/ROW]
[ROW][C]17[/C][C]-0.172483[/C][C]-1.131[/C][C]0.132152[/C][/ROW]
[ROW][C]18[/C][C]0.015064[/C][C]0.0988[/C][C]0.460886[/C][/ROW]
[ROW][C]19[/C][C]0.109283[/C][C]0.7166[/C][C]0.238742[/C][/ROW]
[ROW][C]20[/C][C]0.257699[/C][C]1.6898[/C][C]0.049148[/C][/ROW]
[ROW][C]21[/C][C]0.198452[/C][C]1.3013[/C][C]0.100036[/C][/ROW]
[ROW][C]22[/C][C]0.039219[/C][C]0.2572[/C][C]0.399134[/C][/ROW]
[ROW][C]23[/C][C]-0.227839[/C][C]-1.494[/C][C]0.071233[/C][/ROW]
[ROW][C]24[/C][C]-0.26709[/C][C]-1.7514[/C][C]0.043502[/C][/ROW]
[ROW][C]25[/C][C]-0.180292[/C][C]-1.1823[/C][C]0.121801[/C][/ROW]
[ROW][C]26[/C][C]-0.091349[/C][C]-0.599[/C][C]0.276152[/C][/ROW]
[ROW][C]27[/C][C]-0.024426[/C][C]-0.1602[/C][C]0.436749[/C][/ROW]
[ROW][C]28[/C][C]-0.013079[/C][C]-0.0858[/C][C]0.466025[/C][/ROW]
[ROW][C]29[/C][C]0.04265[/C][C]0.2797[/C][C]0.390534[/C][/ROW]
[ROW][C]30[/C][C]0.006729[/C][C]0.0441[/C][C]0.482506[/C][/ROW]
[ROW][C]31[/C][C]0.070767[/C][C]0.4641[/C][C]0.322475[/C][/ROW]
[ROW][C]32[/C][C]0.037879[/C][C]0.2484[/C][C]0.402509[/C][/ROW]
[ROW][C]33[/C][C]0.044047[/C][C]0.2888[/C][C]0.387047[/C][/ROW]
[ROW][C]34[/C][C]-0.066093[/C][C]-0.4334[/C][C]0.333445[/C][/ROW]
[ROW][C]35[/C][C]-0.065374[/C][C]-0.4287[/C][C]0.335146[/C][/ROW]
[ROW][C]36[/C][C]-0.062805[/C][C]-0.4118[/C][C]0.34125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59344&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59344&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	0.443785	2.9101	0.002851
2	0.044736	0.2934	0.385331
3	-0.323836	-2.1235	0.019751
4	-0.350684	-2.2996	0.013195
5	-0.132414	-0.8683	0.195026
6	0.040561	0.266	0.395765
7	0.127654	0.8371	0.203587
8	0.028437	0.1865	0.426474
9	-0.067328	-0.4415	0.330533
10	-0.085225	-0.5589	0.28958
11	0.072561	0.4758	0.318307
12	-0.032425	-0.2126	0.416311
13	0.072964	0.4785	0.317375
14	0.004174	0.0274	0.489145
15	-0.057786	-0.3789	0.353304
16	-0.165189	-1.0832	0.142375
17	-0.172483	-1.131	0.132152
18	0.015064	0.0988	0.460886
19	0.109283	0.7166	0.238742
20	0.257699	1.6898	0.049148
21	0.198452	1.3013	0.100036
22	0.039219	0.2572	0.399134
23	-0.227839	-1.494	0.071233
24	-0.26709	-1.7514	0.043502
25	-0.180292	-1.1823	0.121801
26	-0.091349	-0.599	0.276152
27	-0.024426	-0.1602	0.436749
28	-0.013079	-0.0858	0.466025
29	0.04265	0.2797	0.390534
30	0.006729	0.0441	0.482506
31	0.070767	0.4641	0.322475
32	0.037879	0.2484	0.402509
33	0.044047	0.2888	0.387047
34	-0.066093	-0.4334	0.333445
35	-0.065374	-0.4287	0.335146
36	-0.062805	-0.4118	0.34125

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.443785	2.9101	0.002851
2	-0.189538	-1.2429	0.110323
3	-0.340141	-2.2305	0.015494
4	-0.071882	-0.4714	0.319882
5	0.093515	0.6132	0.271482
6	-0.043839	-0.2875	0.387567
7	-0.033735	-0.2212	0.412985
8	-0.092628	-0.6074	0.273388
9	-0.038392	-0.2518	0.401215
10	0.013851	0.0908	0.464027
11	0.156965	1.0293	0.15455
12	-0.26913	-1.7648	0.042349
13	0.154131	1.0107	0.158906
14	0.003058	0.0201	0.492048
15	-0.11153	-0.7314	0.234265
16	-0.189041	-1.2396	0.110918
17	0.007167	0.047	0.481365
18	0.119746	0.7852	0.218314
19	-0.020967	-0.1375	0.445642
20	0.126976	0.8326	0.204826
21	0.024963	0.1637	0.43537
22	-0.074459	-0.4883	0.313923
23	-0.090013	-0.5903	0.279054
24	-0.073741	-0.4836	0.315578
25	-0.029334	-0.1924	0.424185
26	-0.193433	-1.2684	0.105736
27	-0.069783	-0.4576	0.324772
28	-0.078354	-0.5138	0.305011
29	0.007748	0.0508	0.479858
30	-0.026972	-0.1769	0.430222
31	-0.040908	-0.2683	0.394894
32	-0.067265	-0.4411	0.330681
33	0.026229	0.172	0.432123
34	-0.082815	-0.5431	0.294949
35	-0.048415	-0.3175	0.37621
36	-0.060725	-0.3982	0.346227

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.443785 & 2.9101 & 0.002851 \tabularnewline
2 & -0.189538 & -1.2429 & 0.110323 \tabularnewline
3 & -0.340141 & -2.2305 & 0.015494 \tabularnewline
4 & -0.071882 & -0.4714 & 0.319882 \tabularnewline
5 & 0.093515 & 0.6132 & 0.271482 \tabularnewline
6 & -0.043839 & -0.2875 & 0.387567 \tabularnewline
7 & -0.033735 & -0.2212 & 0.412985 \tabularnewline
8 & -0.092628 & -0.6074 & 0.273388 \tabularnewline
9 & -0.038392 & -0.2518 & 0.401215 \tabularnewline
10 & 0.013851 & 0.0908 & 0.464027 \tabularnewline
11 & 0.156965 & 1.0293 & 0.15455 \tabularnewline
12 & -0.26913 & -1.7648 & 0.042349 \tabularnewline
13 & 0.154131 & 1.0107 & 0.158906 \tabularnewline
14 & 0.003058 & 0.0201 & 0.492048 \tabularnewline
15 & -0.11153 & -0.7314 & 0.234265 \tabularnewline
16 & -0.189041 & -1.2396 & 0.110918 \tabularnewline
17 & 0.007167 & 0.047 & 0.481365 \tabularnewline
18 & 0.119746 & 0.7852 & 0.218314 \tabularnewline
19 & -0.020967 & -0.1375 & 0.445642 \tabularnewline
20 & 0.126976 & 0.8326 & 0.204826 \tabularnewline
21 & 0.024963 & 0.1637 & 0.43537 \tabularnewline
22 & -0.074459 & -0.4883 & 0.313923 \tabularnewline
23 & -0.090013 & -0.5903 & 0.279054 \tabularnewline
24 & -0.073741 & -0.4836 & 0.315578 \tabularnewline
25 & -0.029334 & -0.1924 & 0.424185 \tabularnewline
26 & -0.193433 & -1.2684 & 0.105736 \tabularnewline
27 & -0.069783 & -0.4576 & 0.324772 \tabularnewline
28 & -0.078354 & -0.5138 & 0.305011 \tabularnewline
29 & 0.007748 & 0.0508 & 0.479858 \tabularnewline
30 & -0.026972 & -0.1769 & 0.430222 \tabularnewline
31 & -0.040908 & -0.2683 & 0.394894 \tabularnewline
32 & -0.067265 & -0.4411 & 0.330681 \tabularnewline
33 & 0.026229 & 0.172 & 0.432123 \tabularnewline
34 & -0.082815 & -0.5431 & 0.294949 \tabularnewline
35 & -0.048415 & -0.3175 & 0.37621 \tabularnewline
36 & -0.060725 & -0.3982 & 0.346227 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59344&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]0.443785[/C][C]2.9101[/C][C]0.002851[/C][/ROW]
[ROW][C]2[/C][C]-0.189538[/C][C]-1.2429[/C][C]0.110323[/C][/ROW]
[ROW][C]3[/C][C]-0.340141[/C][C]-2.2305[/C][C]0.015494[/C][/ROW]
[ROW][C]4[/C][C]-0.071882[/C][C]-0.4714[/C][C]0.319882[/C][/ROW]
[ROW][C]5[/C][C]0.093515[/C][C]0.6132[/C][C]0.271482[/C][/ROW]
[ROW][C]6[/C][C]-0.043839[/C][C]-0.2875[/C][C]0.387567[/C][/ROW]
[ROW][C]7[/C][C]-0.033735[/C][C]-0.2212[/C][C]0.412985[/C][/ROW]
[ROW][C]8[/C][C]-0.092628[/C][C]-0.6074[/C][C]0.273388[/C][/ROW]
[ROW][C]9[/C][C]-0.038392[/C][C]-0.2518[/C][C]0.401215[/C][/ROW]
[ROW][C]10[/C][C]0.013851[/C][C]0.0908[/C][C]0.464027[/C][/ROW]
[ROW][C]11[/C][C]0.156965[/C][C]1.0293[/C][C]0.15455[/C][/ROW]
[ROW][C]12[/C][C]-0.26913[/C][C]-1.7648[/C][C]0.042349[/C][/ROW]
[ROW][C]13[/C][C]0.154131[/C][C]1.0107[/C][C]0.158906[/C][/ROW]
[ROW][C]14[/C][C]0.003058[/C][C]0.0201[/C][C]0.492048[/C][/ROW]
[ROW][C]15[/C][C]-0.11153[/C][C]-0.7314[/C][C]0.234265[/C][/ROW]
[ROW][C]16[/C][C]-0.189041[/C][C]-1.2396[/C][C]0.110918[/C][/ROW]
[ROW][C]17[/C][C]0.007167[/C][C]0.047[/C][C]0.481365[/C][/ROW]
[ROW][C]18[/C][C]0.119746[/C][C]0.7852[/C][C]0.218314[/C][/ROW]
[ROW][C]19[/C][C]-0.020967[/C][C]-0.1375[/C][C]0.445642[/C][/ROW]
[ROW][C]20[/C][C]0.126976[/C][C]0.8326[/C][C]0.204826[/C][/ROW]
[ROW][C]21[/C][C]0.024963[/C][C]0.1637[/C][C]0.43537[/C][/ROW]
[ROW][C]22[/C][C]-0.074459[/C][C]-0.4883[/C][C]0.313923[/C][/ROW]
[ROW][C]23[/C][C]-0.090013[/C][C]-0.5903[/C][C]0.279054[/C][/ROW]
[ROW][C]24[/C][C]-0.073741[/C][C]-0.4836[/C][C]0.315578[/C][/ROW]
[ROW][C]25[/C][C]-0.029334[/C][C]-0.1924[/C][C]0.424185[/C][/ROW]
[ROW][C]26[/C][C]-0.193433[/C][C]-1.2684[/C][C]0.105736[/C][/ROW]
[ROW][C]27[/C][C]-0.069783[/C][C]-0.4576[/C][C]0.324772[/C][/ROW]
[ROW][C]28[/C][C]-0.078354[/C][C]-0.5138[/C][C]0.305011[/C][/ROW]
[ROW][C]29[/C][C]0.007748[/C][C]0.0508[/C][C]0.479858[/C][/ROW]
[ROW][C]30[/C][C]-0.026972[/C][C]-0.1769[/C][C]0.430222[/C][/ROW]
[ROW][C]31[/C][C]-0.040908[/C][C]-0.2683[/C][C]0.394894[/C][/ROW]
[ROW][C]32[/C][C]-0.067265[/C][C]-0.4411[/C][C]0.330681[/C][/ROW]
[ROW][C]33[/C][C]0.026229[/C][C]0.172[/C][C]0.432123[/C][/ROW]
[ROW][C]34[/C][C]-0.082815[/C][C]-0.5431[/C][C]0.294949[/C][/ROW]
[ROW][C]35[/C][C]-0.048415[/C][C]-0.3175[/C][C]0.37621[/C][/ROW]
[ROW][C]36[/C][C]-0.060725[/C][C]-0.3982[/C][C]0.346227[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59344&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59344&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	0.443785	2.9101	0.002851
2	-0.189538	-1.2429	0.110323
3	-0.340141	-2.2305	0.015494
4	-0.071882	-0.4714	0.319882
5	0.093515	0.6132	0.271482
6	-0.043839	-0.2875	0.387567
7	-0.033735	-0.2212	0.412985
8	-0.092628	-0.6074	0.273388
9	-0.038392	-0.2518	0.401215
10	0.013851	0.0908	0.464027
11	0.156965	1.0293	0.15455
12	-0.26913	-1.7648	0.042349
13	0.154131	1.0107	0.158906
14	0.003058	0.0201	0.492048
15	-0.11153	-0.7314	0.234265
16	-0.189041	-1.2396	0.110918
17	0.007167	0.047	0.481365
18	0.119746	0.7852	0.218314
19	-0.020967	-0.1375	0.445642
20	0.126976	0.8326	0.204826
21	0.024963	0.1637	0.43537
22	-0.074459	-0.4883	0.313923
23	-0.090013	-0.5903	0.279054
24	-0.073741	-0.4836	0.315578
25	-0.029334	-0.1924	0.424185
26	-0.193433	-1.2684	0.105736
27	-0.069783	-0.4576	0.324772
28	-0.078354	-0.5138	0.305011
29	0.007748	0.0508	0.479858
30	-0.026972	-0.1769	0.430222
31	-0.040908	-0.2683	0.394894
32	-0.067265	-0.4411	0.330681
33	0.026229	0.172	0.432123
34	-0.082815	-0.5431	0.294949
35	-0.048415	-0.3175	0.37621
36	-0.060725	-0.3982	0.346227

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 2 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 2 ; 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