Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 05 Dec 2007 11:09:07 -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/2007/Dec/05/t1196877397w3kawy9054zhc4g.htm/, Retrieved Thu, 02 May 2024 19:22:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2497, Retrieved Thu, 02 May 2024 19:22:48 +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

Estimated Impact

249

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [(Partial) Autocorrelation Function] [Workshop 5 ACF PA...] [2007-12-05 18:09:07] [44cf2be50bc8700e14714598feda9df9] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2497&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2497&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2497&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	7.746	0
1	0.21709	1.6816	0.048925
2	-0.174023	-1.348	0.908633
3	-0.139129	-1.0777	0.857256
4	0.144479	1.1191	0.133772
5	0.075852	0.5875	0.279522
6	-0.247741	-1.919	0.970127
7	-0.068768	-0.5327	0.701886
8	0.015153	0.1174	0.453478
9	0.09724	0.7532	0.227133
10	0.020658	0.16	0.436704
11	0.014625	0.1133	0.455093
12	-0.012139	-0.094	0.537301
13	0.039911	0.3091	0.37914
14	0.107308	0.8312	0.204576
15	-0.08418	-0.6521	0.741571
16	-0.149307	-1.1565	0.873975
17	-0.033069	-0.2562	0.600646
18	0.079062	0.6124	0.271289
19	0.069202	0.536	0.296958
20	-0.045372	-0.3515	0.636759
21	-0.037598	-0.2912	0.614062
22	0.008541	0.0662	0.473737
23	0.011662	0.0903	0.46416
24	-0.056458	-0.4373	0.668276
25	-0.182599	-1.4144	0.918794
26	-0.103205	-0.7994	0.786399
27	0.032284	0.2501	0.401692
28	0.036085	0.2795	0.390407
29	-0.078334	-0.6068	0.726855
30	-0.086448	-0.6696	0.747166
31	0.065678	0.5087	0.306399
32	-0.076274	-0.5908	0.72157
33	-0.145385	-1.1261	0.867706
34	-0.017961	-0.1391	0.55509
35	0.063591	0.4926	0.312057
36	0.048487	0.3756	0.354276
37	-0.088064	-0.6821	0.751113
38	0.084849	0.6572	0.256771
39	0.031964	0.2476	0.402646
40	-0.012389	-0.096	0.538066
41	-0.049272	-0.3817	0.647969
42	0.063459	0.4916	0.312414
43	0.037523	0.2907	0.38616
44	-0.121213	-0.9389	0.82423
45	0.026241	0.2033	0.419809
46	0.034573	0.2678	0.394885
47	0.073222	0.5672	0.286356

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.21709 & 1.6816 & 0.048925 \tabularnewline
2 & -0.174023 & -1.348 & 0.908633 \tabularnewline
3 & -0.139129 & -1.0777 & 0.857256 \tabularnewline
4 & 0.144479 & 1.1191 & 0.133772 \tabularnewline
5 & 0.075852 & 0.5875 & 0.279522 \tabularnewline
6 & -0.247741 & -1.919 & 0.970127 \tabularnewline
7 & -0.068768 & -0.5327 & 0.701886 \tabularnewline
8 & 0.015153 & 0.1174 & 0.453478 \tabularnewline
9 & 0.09724 & 0.7532 & 0.227133 \tabularnewline
10 & 0.020658 & 0.16 & 0.436704 \tabularnewline
11 & 0.014625 & 0.1133 & 0.455093 \tabularnewline
12 & -0.012139 & -0.094 & 0.537301 \tabularnewline
13 & 0.039911 & 0.3091 & 0.37914 \tabularnewline
14 & 0.107308 & 0.8312 & 0.204576 \tabularnewline
15 & -0.08418 & -0.6521 & 0.741571 \tabularnewline
16 & -0.149307 & -1.1565 & 0.873975 \tabularnewline
17 & -0.033069 & -0.2562 & 0.600646 \tabularnewline
18 & 0.079062 & 0.6124 & 0.271289 \tabularnewline
19 & 0.069202 & 0.536 & 0.296958 \tabularnewline
20 & -0.045372 & -0.3515 & 0.636759 \tabularnewline
21 & -0.037598 & -0.2912 & 0.614062 \tabularnewline
22 & 0.008541 & 0.0662 & 0.473737 \tabularnewline
23 & 0.011662 & 0.0903 & 0.46416 \tabularnewline
24 & -0.056458 & -0.4373 & 0.668276 \tabularnewline
25 & -0.182599 & -1.4144 & 0.918794 \tabularnewline
26 & -0.103205 & -0.7994 & 0.786399 \tabularnewline
27 & 0.032284 & 0.2501 & 0.401692 \tabularnewline
28 & 0.036085 & 0.2795 & 0.390407 \tabularnewline
29 & -0.078334 & -0.6068 & 0.726855 \tabularnewline
30 & -0.086448 & -0.6696 & 0.747166 \tabularnewline
31 & 0.065678 & 0.5087 & 0.306399 \tabularnewline
32 & -0.076274 & -0.5908 & 0.72157 \tabularnewline
33 & -0.145385 & -1.1261 & 0.867706 \tabularnewline
34 & -0.017961 & -0.1391 & 0.55509 \tabularnewline
35 & 0.063591 & 0.4926 & 0.312057 \tabularnewline
36 & 0.048487 & 0.3756 & 0.354276 \tabularnewline
37 & -0.088064 & -0.6821 & 0.751113 \tabularnewline
38 & 0.084849 & 0.6572 & 0.256771 \tabularnewline
39 & 0.031964 & 0.2476 & 0.402646 \tabularnewline
40 & -0.012389 & -0.096 & 0.538066 \tabularnewline
41 & -0.049272 & -0.3817 & 0.647969 \tabularnewline
42 & 0.063459 & 0.4916 & 0.312414 \tabularnewline
43 & 0.037523 & 0.2907 & 0.38616 \tabularnewline
44 & -0.121213 & -0.9389 & 0.82423 \tabularnewline
45 & 0.026241 & 0.2033 & 0.419809 \tabularnewline
46 & 0.034573 & 0.2678 & 0.394885 \tabularnewline
47 & 0.073222 & 0.5672 & 0.286356 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2497&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.21709[/C][C]1.6816[/C][C]0.048925[/C][/ROW]
[ROW][C]2[/C][C]-0.174023[/C][C]-1.348[/C][C]0.908633[/C][/ROW]
[ROW][C]3[/C][C]-0.139129[/C][C]-1.0777[/C][C]0.857256[/C][/ROW]
[ROW][C]4[/C][C]0.144479[/C][C]1.1191[/C][C]0.133772[/C][/ROW]
[ROW][C]5[/C][C]0.075852[/C][C]0.5875[/C][C]0.279522[/C][/ROW]
[ROW][C]6[/C][C]-0.247741[/C][C]-1.919[/C][C]0.970127[/C][/ROW]
[ROW][C]7[/C][C]-0.068768[/C][C]-0.5327[/C][C]0.701886[/C][/ROW]
[ROW][C]8[/C][C]0.015153[/C][C]0.1174[/C][C]0.453478[/C][/ROW]
[ROW][C]9[/C][C]0.09724[/C][C]0.7532[/C][C]0.227133[/C][/ROW]
[ROW][C]10[/C][C]0.020658[/C][C]0.16[/C][C]0.436704[/C][/ROW]
[ROW][C]11[/C][C]0.014625[/C][C]0.1133[/C][C]0.455093[/C][/ROW]
[ROW][C]12[/C][C]-0.012139[/C][C]-0.094[/C][C]0.537301[/C][/ROW]
[ROW][C]13[/C][C]0.039911[/C][C]0.3091[/C][C]0.37914[/C][/ROW]
[ROW][C]14[/C][C]0.107308[/C][C]0.8312[/C][C]0.204576[/C][/ROW]
[ROW][C]15[/C][C]-0.08418[/C][C]-0.6521[/C][C]0.741571[/C][/ROW]
[ROW][C]16[/C][C]-0.149307[/C][C]-1.1565[/C][C]0.873975[/C][/ROW]
[ROW][C]17[/C][C]-0.033069[/C][C]-0.2562[/C][C]0.600646[/C][/ROW]
[ROW][C]18[/C][C]0.079062[/C][C]0.6124[/C][C]0.271289[/C][/ROW]
[ROW][C]19[/C][C]0.069202[/C][C]0.536[/C][C]0.296958[/C][/ROW]
[ROW][C]20[/C][C]-0.045372[/C][C]-0.3515[/C][C]0.636759[/C][/ROW]
[ROW][C]21[/C][C]-0.037598[/C][C]-0.2912[/C][C]0.614062[/C][/ROW]
[ROW][C]22[/C][C]0.008541[/C][C]0.0662[/C][C]0.473737[/C][/ROW]
[ROW][C]23[/C][C]0.011662[/C][C]0.0903[/C][C]0.46416[/C][/ROW]
[ROW][C]24[/C][C]-0.056458[/C][C]-0.4373[/C][C]0.668276[/C][/ROW]
[ROW][C]25[/C][C]-0.182599[/C][C]-1.4144[/C][C]0.918794[/C][/ROW]
[ROW][C]26[/C][C]-0.103205[/C][C]-0.7994[/C][C]0.786399[/C][/ROW]
[ROW][C]27[/C][C]0.032284[/C][C]0.2501[/C][C]0.401692[/C][/ROW]
[ROW][C]28[/C][C]0.036085[/C][C]0.2795[/C][C]0.390407[/C][/ROW]
[ROW][C]29[/C][C]-0.078334[/C][C]-0.6068[/C][C]0.726855[/C][/ROW]
[ROW][C]30[/C][C]-0.086448[/C][C]-0.6696[/C][C]0.747166[/C][/ROW]
[ROW][C]31[/C][C]0.065678[/C][C]0.5087[/C][C]0.306399[/C][/ROW]
[ROW][C]32[/C][C]-0.076274[/C][C]-0.5908[/C][C]0.72157[/C][/ROW]
[ROW][C]33[/C][C]-0.145385[/C][C]-1.1261[/C][C]0.867706[/C][/ROW]
[ROW][C]34[/C][C]-0.017961[/C][C]-0.1391[/C][C]0.55509[/C][/ROW]
[ROW][C]35[/C][C]0.063591[/C][C]0.4926[/C][C]0.312057[/C][/ROW]
[ROW][C]36[/C][C]0.048487[/C][C]0.3756[/C][C]0.354276[/C][/ROW]
[ROW][C]37[/C][C]-0.088064[/C][C]-0.6821[/C][C]0.751113[/C][/ROW]
[ROW][C]38[/C][C]0.084849[/C][C]0.6572[/C][C]0.256771[/C][/ROW]
[ROW][C]39[/C][C]0.031964[/C][C]0.2476[/C][C]0.402646[/C][/ROW]
[ROW][C]40[/C][C]-0.012389[/C][C]-0.096[/C][C]0.538066[/C][/ROW]
[ROW][C]41[/C][C]-0.049272[/C][C]-0.3817[/C][C]0.647969[/C][/ROW]
[ROW][C]42[/C][C]0.063459[/C][C]0.4916[/C][C]0.312414[/C][/ROW]
[ROW][C]43[/C][C]0.037523[/C][C]0.2907[/C][C]0.38616[/C][/ROW]
[ROW][C]44[/C][C]-0.121213[/C][C]-0.9389[/C][C]0.82423[/C][/ROW]
[ROW][C]45[/C][C]0.026241[/C][C]0.2033[/C][C]0.419809[/C][/ROW]
[ROW][C]46[/C][C]0.034573[/C][C]0.2678[/C][C]0.394885[/C][/ROW]
[ROW][C]47[/C][C]0.073222[/C][C]0.5672[/C][C]0.286356[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2497&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2497&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
0	1	7.746	0
1	0.21709	1.6816	0.048925
2	-0.174023	-1.348	0.908633
3	-0.139129	-1.0777	0.857256
4	0.144479	1.1191	0.133772
5	0.075852	0.5875	0.279522
6	-0.247741	-1.919	0.970127
7	-0.068768	-0.5327	0.701886
8	0.015153	0.1174	0.453478
9	0.09724	0.7532	0.227133
10	0.020658	0.16	0.436704
11	0.014625	0.1133	0.455093
12	-0.012139	-0.094	0.537301
13	0.039911	0.3091	0.37914
14	0.107308	0.8312	0.204576
15	-0.08418	-0.6521	0.741571
16	-0.149307	-1.1565	0.873975
17	-0.033069	-0.2562	0.600646
18	0.079062	0.6124	0.271289
19	0.069202	0.536	0.296958
20	-0.045372	-0.3515	0.636759
21	-0.037598	-0.2912	0.614062
22	0.008541	0.0662	0.473737
23	0.011662	0.0903	0.46416
24	-0.056458	-0.4373	0.668276
25	-0.182599	-1.4144	0.918794
26	-0.103205	-0.7994	0.786399
27	0.032284	0.2501	0.401692
28	0.036085	0.2795	0.390407
29	-0.078334	-0.6068	0.726855
30	-0.086448	-0.6696	0.747166
31	0.065678	0.5087	0.306399
32	-0.076274	-0.5908	0.72157
33	-0.145385	-1.1261	0.867706
34	-0.017961	-0.1391	0.55509
35	0.063591	0.4926	0.312057
36	0.048487	0.3756	0.354276
37	-0.088064	-0.6821	0.751113
38	0.084849	0.6572	0.256771
39	0.031964	0.2476	0.402646
40	-0.012389	-0.096	0.538066
41	-0.049272	-0.3817	0.647969
42	0.063459	0.4916	0.312414
43	0.037523	0.2907	0.38616
44	-0.121213	-0.9389	0.82423
45	0.026241	0.2033	0.419809
46	0.034573	0.2678	0.394885
47	0.073222	0.5672	0.286356

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.21709	1.6816	0.048925
1	-0.232089	-1.7978	0.961376
2	-0.046806	-0.3626	0.640894
3	0.169117	1.31	0.097599
4	-0.045958	-0.356	0.638452
5	-0.244991	-1.8977	0.968724
6	0.122096	0.9458	0.174033
7	-0.100637	-0.7795	0.780635
8	0.048563	0.3762	0.354059
9	0.071969	0.5575	0.28964
10	0.020581	0.1594	0.436937
11	-0.078387	-0.6072	0.72699
12	0.109274	0.8464	0.200337
13	0.051041	0.3954	0.346989
14	-0.147946	-1.146	0.871824
15	-0.036138	-0.2799	0.60975
16	0.053518	0.4145	0.339975
17	-0.061874	-0.4793	0.683258
18	0.091127	0.7059	0.241501
19	0.023477	0.1818	0.428157
20	-0.088794	-0.6878	0.752884
21	-0.008246	-0.0639	0.525359
22	0.006468	0.0501	0.480105
23	-0.106043	-0.8214	0.792666
24	-0.146809	-1.1372	0.870007
25	0.007661	0.0593	0.476437
26	-0.016926	-0.1311	0.551937
27	-0.071913	-0.557	0.710212
28	-0.005247	-0.0406	0.516142
29	-0.044247	-0.3427	0.633502
30	-0.036988	-0.2865	0.612262
31	-0.201722	-1.5625	0.938289
32	-0.068321	-0.5292	0.700695
33	0.071779	0.556	0.290141
34	-0.058378	-0.4522	0.67362
35	0.039718	0.3077	0.379705
36	-0.022763	-0.1763	0.569682
37	0.069939	0.5417	0.295
38	-0.082229	-0.6369	0.736708
39	0.009562	0.0741	0.470602
40	-0.054551	-0.4226	0.662934
41	0.085203	0.66	0.255895
42	-0.009953	-0.0771	0.530597
43	-0.061687	-0.4778	0.682744
44	0.082242	0.637	0.263259
45	0.000703	0.0054	0.497836
46	-0.012391	-0.096	0.538071
47	-0.030108	-0.2332	0.591805

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.21709 & 1.6816 & 0.048925 \tabularnewline
1 & -0.232089 & -1.7978 & 0.961376 \tabularnewline
2 & -0.046806 & -0.3626 & 0.640894 \tabularnewline
3 & 0.169117 & 1.31 & 0.097599 \tabularnewline
4 & -0.045958 & -0.356 & 0.638452 \tabularnewline
5 & -0.244991 & -1.8977 & 0.968724 \tabularnewline
6 & 0.122096 & 0.9458 & 0.174033 \tabularnewline
7 & -0.100637 & -0.7795 & 0.780635 \tabularnewline
8 & 0.048563 & 0.3762 & 0.354059 \tabularnewline
9 & 0.071969 & 0.5575 & 0.28964 \tabularnewline
10 & 0.020581 & 0.1594 & 0.436937 \tabularnewline
11 & -0.078387 & -0.6072 & 0.72699 \tabularnewline
12 & 0.109274 & 0.8464 & 0.200337 \tabularnewline
13 & 0.051041 & 0.3954 & 0.346989 \tabularnewline
14 & -0.147946 & -1.146 & 0.871824 \tabularnewline
15 & -0.036138 & -0.2799 & 0.60975 \tabularnewline
16 & 0.053518 & 0.4145 & 0.339975 \tabularnewline
17 & -0.061874 & -0.4793 & 0.683258 \tabularnewline
18 & 0.091127 & 0.7059 & 0.241501 \tabularnewline
19 & 0.023477 & 0.1818 & 0.428157 \tabularnewline
20 & -0.088794 & -0.6878 & 0.752884 \tabularnewline
21 & -0.008246 & -0.0639 & 0.525359 \tabularnewline
22 & 0.006468 & 0.0501 & 0.480105 \tabularnewline
23 & -0.106043 & -0.8214 & 0.792666 \tabularnewline
24 & -0.146809 & -1.1372 & 0.870007 \tabularnewline
25 & 0.007661 & 0.0593 & 0.476437 \tabularnewline
26 & -0.016926 & -0.1311 & 0.551937 \tabularnewline
27 & -0.071913 & -0.557 & 0.710212 \tabularnewline
28 & -0.005247 & -0.0406 & 0.516142 \tabularnewline
29 & -0.044247 & -0.3427 & 0.633502 \tabularnewline
30 & -0.036988 & -0.2865 & 0.612262 \tabularnewline
31 & -0.201722 & -1.5625 & 0.938289 \tabularnewline
32 & -0.068321 & -0.5292 & 0.700695 \tabularnewline
33 & 0.071779 & 0.556 & 0.290141 \tabularnewline
34 & -0.058378 & -0.4522 & 0.67362 \tabularnewline
35 & 0.039718 & 0.3077 & 0.379705 \tabularnewline
36 & -0.022763 & -0.1763 & 0.569682 \tabularnewline
37 & 0.069939 & 0.5417 & 0.295 \tabularnewline
38 & -0.082229 & -0.6369 & 0.736708 \tabularnewline
39 & 0.009562 & 0.0741 & 0.470602 \tabularnewline
40 & -0.054551 & -0.4226 & 0.662934 \tabularnewline
41 & 0.085203 & 0.66 & 0.255895 \tabularnewline
42 & -0.009953 & -0.0771 & 0.530597 \tabularnewline
43 & -0.061687 & -0.4778 & 0.682744 \tabularnewline
44 & 0.082242 & 0.637 & 0.263259 \tabularnewline
45 & 0.000703 & 0.0054 & 0.497836 \tabularnewline
46 & -0.012391 & -0.096 & 0.538071 \tabularnewline
47 & -0.030108 & -0.2332 & 0.591805 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2497&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]0[/C][C]0.21709[/C][C]1.6816[/C][C]0.048925[/C][/ROW]
[ROW][C]1[/C][C]-0.232089[/C][C]-1.7978[/C][C]0.961376[/C][/ROW]
[ROW][C]2[/C][C]-0.046806[/C][C]-0.3626[/C][C]0.640894[/C][/ROW]
[ROW][C]3[/C][C]0.169117[/C][C]1.31[/C][C]0.097599[/C][/ROW]
[ROW][C]4[/C][C]-0.045958[/C][C]-0.356[/C][C]0.638452[/C][/ROW]
[ROW][C]5[/C][C]-0.244991[/C][C]-1.8977[/C][C]0.968724[/C][/ROW]
[ROW][C]6[/C][C]0.122096[/C][C]0.9458[/C][C]0.174033[/C][/ROW]
[ROW][C]7[/C][C]-0.100637[/C][C]-0.7795[/C][C]0.780635[/C][/ROW]
[ROW][C]8[/C][C]0.048563[/C][C]0.3762[/C][C]0.354059[/C][/ROW]
[ROW][C]9[/C][C]0.071969[/C][C]0.5575[/C][C]0.28964[/C][/ROW]
[ROW][C]10[/C][C]0.020581[/C][C]0.1594[/C][C]0.436937[/C][/ROW]
[ROW][C]11[/C][C]-0.078387[/C][C]-0.6072[/C][C]0.72699[/C][/ROW]
[ROW][C]12[/C][C]0.109274[/C][C]0.8464[/C][C]0.200337[/C][/ROW]
[ROW][C]13[/C][C]0.051041[/C][C]0.3954[/C][C]0.346989[/C][/ROW]
[ROW][C]14[/C][C]-0.147946[/C][C]-1.146[/C][C]0.871824[/C][/ROW]
[ROW][C]15[/C][C]-0.036138[/C][C]-0.2799[/C][C]0.60975[/C][/ROW]
[ROW][C]16[/C][C]0.053518[/C][C]0.4145[/C][C]0.339975[/C][/ROW]
[ROW][C]17[/C][C]-0.061874[/C][C]-0.4793[/C][C]0.683258[/C][/ROW]
[ROW][C]18[/C][C]0.091127[/C][C]0.7059[/C][C]0.241501[/C][/ROW]
[ROW][C]19[/C][C]0.023477[/C][C]0.1818[/C][C]0.428157[/C][/ROW]
[ROW][C]20[/C][C]-0.088794[/C][C]-0.6878[/C][C]0.752884[/C][/ROW]
[ROW][C]21[/C][C]-0.008246[/C][C]-0.0639[/C][C]0.525359[/C][/ROW]
[ROW][C]22[/C][C]0.006468[/C][C]0.0501[/C][C]0.480105[/C][/ROW]
[ROW][C]23[/C][C]-0.106043[/C][C]-0.8214[/C][C]0.792666[/C][/ROW]
[ROW][C]24[/C][C]-0.146809[/C][C]-1.1372[/C][C]0.870007[/C][/ROW]
[ROW][C]25[/C][C]0.007661[/C][C]0.0593[/C][C]0.476437[/C][/ROW]
[ROW][C]26[/C][C]-0.016926[/C][C]-0.1311[/C][C]0.551937[/C][/ROW]
[ROW][C]27[/C][C]-0.071913[/C][C]-0.557[/C][C]0.710212[/C][/ROW]
[ROW][C]28[/C][C]-0.005247[/C][C]-0.0406[/C][C]0.516142[/C][/ROW]
[ROW][C]29[/C][C]-0.044247[/C][C]-0.3427[/C][C]0.633502[/C][/ROW]
[ROW][C]30[/C][C]-0.036988[/C][C]-0.2865[/C][C]0.612262[/C][/ROW]
[ROW][C]31[/C][C]-0.201722[/C][C]-1.5625[/C][C]0.938289[/C][/ROW]
[ROW][C]32[/C][C]-0.068321[/C][C]-0.5292[/C][C]0.700695[/C][/ROW]
[ROW][C]33[/C][C]0.071779[/C][C]0.556[/C][C]0.290141[/C][/ROW]
[ROW][C]34[/C][C]-0.058378[/C][C]-0.4522[/C][C]0.67362[/C][/ROW]
[ROW][C]35[/C][C]0.039718[/C][C]0.3077[/C][C]0.379705[/C][/ROW]
[ROW][C]36[/C][C]-0.022763[/C][C]-0.1763[/C][C]0.569682[/C][/ROW]
[ROW][C]37[/C][C]0.069939[/C][C]0.5417[/C][C]0.295[/C][/ROW]
[ROW][C]38[/C][C]-0.082229[/C][C]-0.6369[/C][C]0.736708[/C][/ROW]
[ROW][C]39[/C][C]0.009562[/C][C]0.0741[/C][C]0.470602[/C][/ROW]
[ROW][C]40[/C][C]-0.054551[/C][C]-0.4226[/C][C]0.662934[/C][/ROW]
[ROW][C]41[/C][C]0.085203[/C][C]0.66[/C][C]0.255895[/C][/ROW]
[ROW][C]42[/C][C]-0.009953[/C][C]-0.0771[/C][C]0.530597[/C][/ROW]
[ROW][C]43[/C][C]-0.061687[/C][C]-0.4778[/C][C]0.682744[/C][/ROW]
[ROW][C]44[/C][C]0.082242[/C][C]0.637[/C][C]0.263259[/C][/ROW]
[ROW][C]45[/C][C]0.000703[/C][C]0.0054[/C][C]0.497836[/C][/ROW]
[ROW][C]46[/C][C]-0.012391[/C][C]-0.096[/C][C]0.538071[/C][/ROW]
[ROW][C]47[/C][C]-0.030108[/C][C]-0.2332[/C][C]0.591805[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2497&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2497&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
0	0.21709	1.6816	0.048925
1	-0.232089	-1.7978	0.961376
2	-0.046806	-0.3626	0.640894
3	0.169117	1.31	0.097599
4	-0.045958	-0.356	0.638452
5	-0.244991	-1.8977	0.968724
6	0.122096	0.9458	0.174033
7	-0.100637	-0.7795	0.780635
8	0.048563	0.3762	0.354059
9	0.071969	0.5575	0.28964
10	0.020581	0.1594	0.436937
11	-0.078387	-0.6072	0.72699
12	0.109274	0.8464	0.200337
13	0.051041	0.3954	0.346989
14	-0.147946	-1.146	0.871824
15	-0.036138	-0.2799	0.60975
16	0.053518	0.4145	0.339975
17	-0.061874	-0.4793	0.683258
18	0.091127	0.7059	0.241501
19	0.023477	0.1818	0.428157
20	-0.088794	-0.6878	0.752884
21	-0.008246	-0.0639	0.525359
22	0.006468	0.0501	0.480105
23	-0.106043	-0.8214	0.792666
24	-0.146809	-1.1372	0.870007
25	0.007661	0.0593	0.476437
26	-0.016926	-0.1311	0.551937
27	-0.071913	-0.557	0.710212
28	-0.005247	-0.0406	0.516142
29	-0.044247	-0.3427	0.633502
30	-0.036988	-0.2865	0.612262
31	-0.201722	-1.5625	0.938289
32	-0.068321	-0.5292	0.700695
33	0.071779	0.556	0.290141
34	-0.058378	-0.4522	0.67362
35	0.039718	0.3077	0.379705
36	-0.022763	-0.1763	0.569682
37	0.069939	0.5417	0.295
38	-0.082229	-0.6369	0.736708
39	0.009562	0.0741	0.470602
40	-0.054551	-0.4226	0.662934
41	0.085203	0.66	0.255895
42	-0.009953	-0.0771	0.530597
43	-0.061687	-0.4778	0.682744
44	0.082242	0.637	0.263259
45	0.000703	0.0054	0.497836
46	-0.012391	-0.096	0.538071
47	-0.030108	-0.2332	0.591805

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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 1:par1) {
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(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-1,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(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