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

Fri, 10 Dec 2010 20:21:41 +0000

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/2010/Dec/10/t1292012369o49vkgst6rmbxf2.htm/, Retrieved Mon, 29 Apr 2024 16:20:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107926, Retrieved Mon, 29 Apr 2024 16:20:00 +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

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       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [(Partial) Autocorrelation Function] [Births] [2010-11-29 09:36:27] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [Workshop 9] [2010-12-10 19:48:20] [74be16979710d4c4e7c6647856088456]
-   P             [(Partial) Autocorrelation Function] [Workshop 9] [2010-12-10 20:02:02] [74be16979710d4c4e7c6647856088456]
-   P                 [(Partial) Autocorrelation Function] [Workshop 9] [2010-12-10 20:21:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P                   [(Partial) Autocorrelation Function] [] [2010-12-10 21:12:03] [1ec36cc0fd92fd0f07d0b885ce2c369b] 

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107926&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107926&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107926&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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.10433	0.7152	0.238996
2	0.259034	1.7758	0.041116
3	0.270825	1.8567	0.034815
4	0.250403	1.7167	0.046312
5	0.187696	1.2868	0.102237
6	0.034221	0.2346	0.407767
7	0.018322	0.1256	0.45029
8	0.101258	0.6942	0.24549
9	0.011592	0.0795	0.468498
10	0.10551	0.7233	0.236528
11	-0.002928	-0.0201	0.492035
12	-0.005246	-0.036	0.485731
13	-0.030627	-0.21	0.4173
14	0.013404	0.0919	0.463586
15	0.065485	0.4489	0.327769
16	-0.067201	-0.4607	0.323567
17	-0.009536	-0.0654	0.474076
18	0.023007	0.1577	0.437672
19	0.08691	0.5958	0.277076
20	-0.087798	-0.6019	0.275063
21	-0.035969	-0.2466	0.40315
22	-0.140491	-0.9632	0.170199
23	0.154399	1.0585	0.147617
24	-0.169409	-1.1614	0.12567
25	-0.061021	-0.4183	0.338802
26	0.033122	0.2271	0.410676
27	-0.036857	-0.2527	0.400809
28	-0.015191	-0.1041	0.45875
29	-0.038194	-0.2618	0.397294
30	-0.065585	-0.4496	0.327523
31	-0.037182	-0.2549	0.399954
32	-0.23086	-1.5827	0.060099
33	-0.0196	-0.1344	0.446841
34	-0.198737	-1.3625	0.089771
35	-0.18093	-1.2404	0.110494
36	-0.146053	-1.0013	0.160906
37	-0.173051	-1.1864	0.120718
38	-0.136776	-0.9377	0.1766
39	-0.131957	-0.9046	0.185133
40	-0.062417	-0.4279	0.335335
41	-0.123973	-0.8499	0.199841
42	0.009357	0.0641	0.474563
43	-0.030258	-0.2074	0.418283
44	-0.017011	-0.1166	0.453828
45	0.009235	0.0633	0.474893
46	0.016747	0.1148	0.454542
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.10433 & 0.7152 & 0.238996 \tabularnewline
2 & 0.259034 & 1.7758 & 0.041116 \tabularnewline
3 & 0.270825 & 1.8567 & 0.034815 \tabularnewline
4 & 0.250403 & 1.7167 & 0.046312 \tabularnewline
5 & 0.187696 & 1.2868 & 0.102237 \tabularnewline
6 & 0.034221 & 0.2346 & 0.407767 \tabularnewline
7 & 0.018322 & 0.1256 & 0.45029 \tabularnewline
8 & 0.101258 & 0.6942 & 0.24549 \tabularnewline
9 & 0.011592 & 0.0795 & 0.468498 \tabularnewline
10 & 0.10551 & 0.7233 & 0.236528 \tabularnewline
11 & -0.002928 & -0.0201 & 0.492035 \tabularnewline
12 & -0.005246 & -0.036 & 0.485731 \tabularnewline
13 & -0.030627 & -0.21 & 0.4173 \tabularnewline
14 & 0.013404 & 0.0919 & 0.463586 \tabularnewline
15 & 0.065485 & 0.4489 & 0.327769 \tabularnewline
16 & -0.067201 & -0.4607 & 0.323567 \tabularnewline
17 & -0.009536 & -0.0654 & 0.474076 \tabularnewline
18 & 0.023007 & 0.1577 & 0.437672 \tabularnewline
19 & 0.08691 & 0.5958 & 0.277076 \tabularnewline
20 & -0.087798 & -0.6019 & 0.275063 \tabularnewline
21 & -0.035969 & -0.2466 & 0.40315 \tabularnewline
22 & -0.140491 & -0.9632 & 0.170199 \tabularnewline
23 & 0.154399 & 1.0585 & 0.147617 \tabularnewline
24 & -0.169409 & -1.1614 & 0.12567 \tabularnewline
25 & -0.061021 & -0.4183 & 0.338802 \tabularnewline
26 & 0.033122 & 0.2271 & 0.410676 \tabularnewline
27 & -0.036857 & -0.2527 & 0.400809 \tabularnewline
28 & -0.015191 & -0.1041 & 0.45875 \tabularnewline
29 & -0.038194 & -0.2618 & 0.397294 \tabularnewline
30 & -0.065585 & -0.4496 & 0.327523 \tabularnewline
31 & -0.037182 & -0.2549 & 0.399954 \tabularnewline
32 & -0.23086 & -1.5827 & 0.060099 \tabularnewline
33 & -0.0196 & -0.1344 & 0.446841 \tabularnewline
34 & -0.198737 & -1.3625 & 0.089771 \tabularnewline
35 & -0.18093 & -1.2404 & 0.110494 \tabularnewline
36 & -0.146053 & -1.0013 & 0.160906 \tabularnewline
37 & -0.173051 & -1.1864 & 0.120718 \tabularnewline
38 & -0.136776 & -0.9377 & 0.1766 \tabularnewline
39 & -0.131957 & -0.9046 & 0.185133 \tabularnewline
40 & -0.062417 & -0.4279 & 0.335335 \tabularnewline
41 & -0.123973 & -0.8499 & 0.199841 \tabularnewline
42 & 0.009357 & 0.0641 & 0.474563 \tabularnewline
43 & -0.030258 & -0.2074 & 0.418283 \tabularnewline
44 & -0.017011 & -0.1166 & 0.453828 \tabularnewline
45 & 0.009235 & 0.0633 & 0.474893 \tabularnewline
46 & 0.016747 & 0.1148 & 0.454542 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107926&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]0.10433[/C][C]0.7152[/C][C]0.238996[/C][/ROW]
[ROW][C]2[/C][C]0.259034[/C][C]1.7758[/C][C]0.041116[/C][/ROW]
[ROW][C]3[/C][C]0.270825[/C][C]1.8567[/C][C]0.034815[/C][/ROW]
[ROW][C]4[/C][C]0.250403[/C][C]1.7167[/C][C]0.046312[/C][/ROW]
[ROW][C]5[/C][C]0.187696[/C][C]1.2868[/C][C]0.102237[/C][/ROW]
[ROW][C]6[/C][C]0.034221[/C][C]0.2346[/C][C]0.407767[/C][/ROW]
[ROW][C]7[/C][C]0.018322[/C][C]0.1256[/C][C]0.45029[/C][/ROW]
[ROW][C]8[/C][C]0.101258[/C][C]0.6942[/C][C]0.24549[/C][/ROW]
[ROW][C]9[/C][C]0.011592[/C][C]0.0795[/C][C]0.468498[/C][/ROW]
[ROW][C]10[/C][C]0.10551[/C][C]0.7233[/C][C]0.236528[/C][/ROW]
[ROW][C]11[/C][C]-0.002928[/C][C]-0.0201[/C][C]0.492035[/C][/ROW]
[ROW][C]12[/C][C]-0.005246[/C][C]-0.036[/C][C]0.485731[/C][/ROW]
[ROW][C]13[/C][C]-0.030627[/C][C]-0.21[/C][C]0.4173[/C][/ROW]
[ROW][C]14[/C][C]0.013404[/C][C]0.0919[/C][C]0.463586[/C][/ROW]
[ROW][C]15[/C][C]0.065485[/C][C]0.4489[/C][C]0.327769[/C][/ROW]
[ROW][C]16[/C][C]-0.067201[/C][C]-0.4607[/C][C]0.323567[/C][/ROW]
[ROW][C]17[/C][C]-0.009536[/C][C]-0.0654[/C][C]0.474076[/C][/ROW]
[ROW][C]18[/C][C]0.023007[/C][C]0.1577[/C][C]0.437672[/C][/ROW]
[ROW][C]19[/C][C]0.08691[/C][C]0.5958[/C][C]0.277076[/C][/ROW]
[ROW][C]20[/C][C]-0.087798[/C][C]-0.6019[/C][C]0.275063[/C][/ROW]
[ROW][C]21[/C][C]-0.035969[/C][C]-0.2466[/C][C]0.40315[/C][/ROW]
[ROW][C]22[/C][C]-0.140491[/C][C]-0.9632[/C][C]0.170199[/C][/ROW]
[ROW][C]23[/C][C]0.154399[/C][C]1.0585[/C][C]0.147617[/C][/ROW]
[ROW][C]24[/C][C]-0.169409[/C][C]-1.1614[/C][C]0.12567[/C][/ROW]
[ROW][C]25[/C][C]-0.061021[/C][C]-0.4183[/C][C]0.338802[/C][/ROW]
[ROW][C]26[/C][C]0.033122[/C][C]0.2271[/C][C]0.410676[/C][/ROW]
[ROW][C]27[/C][C]-0.036857[/C][C]-0.2527[/C][C]0.400809[/C][/ROW]
[ROW][C]28[/C][C]-0.015191[/C][C]-0.1041[/C][C]0.45875[/C][/ROW]
[ROW][C]29[/C][C]-0.038194[/C][C]-0.2618[/C][C]0.397294[/C][/ROW]
[ROW][C]30[/C][C]-0.065585[/C][C]-0.4496[/C][C]0.327523[/C][/ROW]
[ROW][C]31[/C][C]-0.037182[/C][C]-0.2549[/C][C]0.399954[/C][/ROW]
[ROW][C]32[/C][C]-0.23086[/C][C]-1.5827[/C][C]0.060099[/C][/ROW]
[ROW][C]33[/C][C]-0.0196[/C][C]-0.1344[/C][C]0.446841[/C][/ROW]
[ROW][C]34[/C][C]-0.198737[/C][C]-1.3625[/C][C]0.089771[/C][/ROW]
[ROW][C]35[/C][C]-0.18093[/C][C]-1.2404[/C][C]0.110494[/C][/ROW]
[ROW][C]36[/C][C]-0.146053[/C][C]-1.0013[/C][C]0.160906[/C][/ROW]
[ROW][C]37[/C][C]-0.173051[/C][C]-1.1864[/C][C]0.120718[/C][/ROW]
[ROW][C]38[/C][C]-0.136776[/C][C]-0.9377[/C][C]0.1766[/C][/ROW]
[ROW][C]39[/C][C]-0.131957[/C][C]-0.9046[/C][C]0.185133[/C][/ROW]
[ROW][C]40[/C][C]-0.062417[/C][C]-0.4279[/C][C]0.335335[/C][/ROW]
[ROW][C]41[/C][C]-0.123973[/C][C]-0.8499[/C][C]0.199841[/C][/ROW]
[ROW][C]42[/C][C]0.009357[/C][C]0.0641[/C][C]0.474563[/C][/ROW]
[ROW][C]43[/C][C]-0.030258[/C][C]-0.2074[/C][C]0.418283[/C][/ROW]
[ROW][C]44[/C][C]-0.017011[/C][C]-0.1166[/C][C]0.453828[/C][/ROW]
[ROW][C]45[/C][C]0.009235[/C][C]0.0633[/C][C]0.474893[/C][/ROW]
[ROW][C]46[/C][C]0.016747[/C][C]0.1148[/C][C]0.454542[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107926&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107926&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	0.10433	0.7152	0.238996
2	0.259034	1.7758	0.041116
3	0.270825	1.8567	0.034815
4	0.250403	1.7167	0.046312
5	0.187696	1.2868	0.102237
6	0.034221	0.2346	0.407767
7	0.018322	0.1256	0.45029
8	0.101258	0.6942	0.24549
9	0.011592	0.0795	0.468498
10	0.10551	0.7233	0.236528
11	-0.002928	-0.0201	0.492035
12	-0.005246	-0.036	0.485731
13	-0.030627	-0.21	0.4173
14	0.013404	0.0919	0.463586
15	0.065485	0.4489	0.327769
16	-0.067201	-0.4607	0.323567
17	-0.009536	-0.0654	0.474076
18	0.023007	0.1577	0.437672
19	0.08691	0.5958	0.277076
20	-0.087798	-0.6019	0.275063
21	-0.035969	-0.2466	0.40315
22	-0.140491	-0.9632	0.170199
23	0.154399	1.0585	0.147617
24	-0.169409	-1.1614	0.12567
25	-0.061021	-0.4183	0.338802
26	0.033122	0.2271	0.410676
27	-0.036857	-0.2527	0.400809
28	-0.015191	-0.1041	0.45875
29	-0.038194	-0.2618	0.397294
30	-0.065585	-0.4496	0.327523
31	-0.037182	-0.2549	0.399954
32	-0.23086	-1.5827	0.060099
33	-0.0196	-0.1344	0.446841
34	-0.198737	-1.3625	0.089771
35	-0.18093	-1.2404	0.110494
36	-0.146053	-1.0013	0.160906
37	-0.173051	-1.1864	0.120718
38	-0.136776	-0.9377	0.1766
39	-0.131957	-0.9046	0.185133
40	-0.062417	-0.4279	0.335335
41	-0.123973	-0.8499	0.199841
42	0.009357	0.0641	0.474563
43	-0.030258	-0.2074	0.418283
44	-0.017011	-0.1166	0.453828
45	0.009235	0.0633	0.474893
46	0.016747	0.1148	0.454542
47	NA	NA	NA
48	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.10433	0.7152	0.238996
2	0.25088	1.7199	0.046011
3	0.242115	1.6599	0.051801
4	0.183767	1.2598	0.106973
5	0.073709	0.5053	0.307846
6	-0.140596	-0.9639	0.17002
7	-0.17255	-1.1829	0.121391
8	0.005759	0.0395	0.484338
9	0.018062	0.1238	0.450991
10	0.168991	1.1585	0.126248
11	0.046904	0.3216	0.374607
12	-0.069137	-0.474	0.318854
13	-0.160083	-1.0975	0.139012
14	-0.062944	-0.4315	0.33403
15	0.121707	0.8344	0.204143
16	0.047917	0.3285	0.371996
17	0.051246	0.3513	0.363458
18	-0.005609	-0.0385	0.484744
19	0.042239	0.2896	0.386708
20	-0.170509	-1.1689	0.12416
21	-0.095337	-0.6536	0.258278
22	-0.184163	-1.2626	0.106489
23	0.27698	1.8989	0.031864
24	0.014649	0.1004	0.460217
25	0.011254	0.0772	0.469413
26	0.05147	0.3529	0.362885
27	-0.099295	-0.6807	0.249691
28	-0.101325	-0.6947	0.245347
29	-0.078285	-0.5367	0.297004
30	0.016967	0.1163	0.453946
31	0.025958	0.178	0.42976
32	-0.154754	-1.0609	0.147069
33	-0.052188	-0.3578	0.361053
34	-0.165169	-1.1323	0.131617
35	-0.088235	-0.6049	0.274074
36	0.010557	0.0724	0.471305
37	0.035955	0.2465	0.403186
38	-0.03204	-0.2197	0.413546
39	0.100596	0.6897	0.246902
40	0.097917	0.6713	0.252663
41	-0.098083	-0.6724	0.252304
42	0.013797	0.0946	0.462523
43	0.038814	0.2661	0.395666
44	-0.026448	-0.1813	0.428447
45	0.018568	0.1273	0.449626
46	-0.037374	-0.2562	0.399447
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.10433 & 0.7152 & 0.238996 \tabularnewline
2 & 0.25088 & 1.7199 & 0.046011 \tabularnewline
3 & 0.242115 & 1.6599 & 0.051801 \tabularnewline
4 & 0.183767 & 1.2598 & 0.106973 \tabularnewline
5 & 0.073709 & 0.5053 & 0.307846 \tabularnewline
6 & -0.140596 & -0.9639 & 0.17002 \tabularnewline
7 & -0.17255 & -1.1829 & 0.121391 \tabularnewline
8 & 0.005759 & 0.0395 & 0.484338 \tabularnewline
9 & 0.018062 & 0.1238 & 0.450991 \tabularnewline
10 & 0.168991 & 1.1585 & 0.126248 \tabularnewline
11 & 0.046904 & 0.3216 & 0.374607 \tabularnewline
12 & -0.069137 & -0.474 & 0.318854 \tabularnewline
13 & -0.160083 & -1.0975 & 0.139012 \tabularnewline
14 & -0.062944 & -0.4315 & 0.33403 \tabularnewline
15 & 0.121707 & 0.8344 & 0.204143 \tabularnewline
16 & 0.047917 & 0.3285 & 0.371996 \tabularnewline
17 & 0.051246 & 0.3513 & 0.363458 \tabularnewline
18 & -0.005609 & -0.0385 & 0.484744 \tabularnewline
19 & 0.042239 & 0.2896 & 0.386708 \tabularnewline
20 & -0.170509 & -1.1689 & 0.12416 \tabularnewline
21 & -0.095337 & -0.6536 & 0.258278 \tabularnewline
22 & -0.184163 & -1.2626 & 0.106489 \tabularnewline
23 & 0.27698 & 1.8989 & 0.031864 \tabularnewline
24 & 0.014649 & 0.1004 & 0.460217 \tabularnewline
25 & 0.011254 & 0.0772 & 0.469413 \tabularnewline
26 & 0.05147 & 0.3529 & 0.362885 \tabularnewline
27 & -0.099295 & -0.6807 & 0.249691 \tabularnewline
28 & -0.101325 & -0.6947 & 0.245347 \tabularnewline
29 & -0.078285 & -0.5367 & 0.297004 \tabularnewline
30 & 0.016967 & 0.1163 & 0.453946 \tabularnewline
31 & 0.025958 & 0.178 & 0.42976 \tabularnewline
32 & -0.154754 & -1.0609 & 0.147069 \tabularnewline
33 & -0.052188 & -0.3578 & 0.361053 \tabularnewline
34 & -0.165169 & -1.1323 & 0.131617 \tabularnewline
35 & -0.088235 & -0.6049 & 0.274074 \tabularnewline
36 & 0.010557 & 0.0724 & 0.471305 \tabularnewline
37 & 0.035955 & 0.2465 & 0.403186 \tabularnewline
38 & -0.03204 & -0.2197 & 0.413546 \tabularnewline
39 & 0.100596 & 0.6897 & 0.246902 \tabularnewline
40 & 0.097917 & 0.6713 & 0.252663 \tabularnewline
41 & -0.098083 & -0.6724 & 0.252304 \tabularnewline
42 & 0.013797 & 0.0946 & 0.462523 \tabularnewline
43 & 0.038814 & 0.2661 & 0.395666 \tabularnewline
44 & -0.026448 & -0.1813 & 0.428447 \tabularnewline
45 & 0.018568 & 0.1273 & 0.449626 \tabularnewline
46 & -0.037374 & -0.2562 & 0.399447 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107926&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]0.10433[/C][C]0.7152[/C][C]0.238996[/C][/ROW]
[ROW][C]2[/C][C]0.25088[/C][C]1.7199[/C][C]0.046011[/C][/ROW]
[ROW][C]3[/C][C]0.242115[/C][C]1.6599[/C][C]0.051801[/C][/ROW]
[ROW][C]4[/C][C]0.183767[/C][C]1.2598[/C][C]0.106973[/C][/ROW]
[ROW][C]5[/C][C]0.073709[/C][C]0.5053[/C][C]0.307846[/C][/ROW]
[ROW][C]6[/C][C]-0.140596[/C][C]-0.9639[/C][C]0.17002[/C][/ROW]
[ROW][C]7[/C][C]-0.17255[/C][C]-1.1829[/C][C]0.121391[/C][/ROW]
[ROW][C]8[/C][C]0.005759[/C][C]0.0395[/C][C]0.484338[/C][/ROW]
[ROW][C]9[/C][C]0.018062[/C][C]0.1238[/C][C]0.450991[/C][/ROW]
[ROW][C]10[/C][C]0.168991[/C][C]1.1585[/C][C]0.126248[/C][/ROW]
[ROW][C]11[/C][C]0.046904[/C][C]0.3216[/C][C]0.374607[/C][/ROW]
[ROW][C]12[/C][C]-0.069137[/C][C]-0.474[/C][C]0.318854[/C][/ROW]
[ROW][C]13[/C][C]-0.160083[/C][C]-1.0975[/C][C]0.139012[/C][/ROW]
[ROW][C]14[/C][C]-0.062944[/C][C]-0.4315[/C][C]0.33403[/C][/ROW]
[ROW][C]15[/C][C]0.121707[/C][C]0.8344[/C][C]0.204143[/C][/ROW]
[ROW][C]16[/C][C]0.047917[/C][C]0.3285[/C][C]0.371996[/C][/ROW]
[ROW][C]17[/C][C]0.051246[/C][C]0.3513[/C][C]0.363458[/C][/ROW]
[ROW][C]18[/C][C]-0.005609[/C][C]-0.0385[/C][C]0.484744[/C][/ROW]
[ROW][C]19[/C][C]0.042239[/C][C]0.2896[/C][C]0.386708[/C][/ROW]
[ROW][C]20[/C][C]-0.170509[/C][C]-1.1689[/C][C]0.12416[/C][/ROW]
[ROW][C]21[/C][C]-0.095337[/C][C]-0.6536[/C][C]0.258278[/C][/ROW]
[ROW][C]22[/C][C]-0.184163[/C][C]-1.2626[/C][C]0.106489[/C][/ROW]
[ROW][C]23[/C][C]0.27698[/C][C]1.8989[/C][C]0.031864[/C][/ROW]
[ROW][C]24[/C][C]0.014649[/C][C]0.1004[/C][C]0.460217[/C][/ROW]
[ROW][C]25[/C][C]0.011254[/C][C]0.0772[/C][C]0.469413[/C][/ROW]
[ROW][C]26[/C][C]0.05147[/C][C]0.3529[/C][C]0.362885[/C][/ROW]
[ROW][C]27[/C][C]-0.099295[/C][C]-0.6807[/C][C]0.249691[/C][/ROW]
[ROW][C]28[/C][C]-0.101325[/C][C]-0.6947[/C][C]0.245347[/C][/ROW]
[ROW][C]29[/C][C]-0.078285[/C][C]-0.5367[/C][C]0.297004[/C][/ROW]
[ROW][C]30[/C][C]0.016967[/C][C]0.1163[/C][C]0.453946[/C][/ROW]
[ROW][C]31[/C][C]0.025958[/C][C]0.178[/C][C]0.42976[/C][/ROW]
[ROW][C]32[/C][C]-0.154754[/C][C]-1.0609[/C][C]0.147069[/C][/ROW]
[ROW][C]33[/C][C]-0.052188[/C][C]-0.3578[/C][C]0.361053[/C][/ROW]
[ROW][C]34[/C][C]-0.165169[/C][C]-1.1323[/C][C]0.131617[/C][/ROW]
[ROW][C]35[/C][C]-0.088235[/C][C]-0.6049[/C][C]0.274074[/C][/ROW]
[ROW][C]36[/C][C]0.010557[/C][C]0.0724[/C][C]0.471305[/C][/ROW]
[ROW][C]37[/C][C]0.035955[/C][C]0.2465[/C][C]0.403186[/C][/ROW]
[ROW][C]38[/C][C]-0.03204[/C][C]-0.2197[/C][C]0.413546[/C][/ROW]
[ROW][C]39[/C][C]0.100596[/C][C]0.6897[/C][C]0.246902[/C][/ROW]
[ROW][C]40[/C][C]0.097917[/C][C]0.6713[/C][C]0.252663[/C][/ROW]
[ROW][C]41[/C][C]-0.098083[/C][C]-0.6724[/C][C]0.252304[/C][/ROW]
[ROW][C]42[/C][C]0.013797[/C][C]0.0946[/C][C]0.462523[/C][/ROW]
[ROW][C]43[/C][C]0.038814[/C][C]0.2661[/C][C]0.395666[/C][/ROW]
[ROW][C]44[/C][C]-0.026448[/C][C]-0.1813[/C][C]0.428447[/C][/ROW]
[ROW][C]45[/C][C]0.018568[/C][C]0.1273[/C][C]0.449626[/C][/ROW]
[ROW][C]46[/C][C]-0.037374[/C][C]-0.2562[/C][C]0.399447[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107926&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107926&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	0.10433	0.7152	0.238996
2	0.25088	1.7199	0.046011
3	0.242115	1.6599	0.051801
4	0.183767	1.2598	0.106973
5	0.073709	0.5053	0.307846
6	-0.140596	-0.9639	0.17002
7	-0.17255	-1.1829	0.121391
8	0.005759	0.0395	0.484338
9	0.018062	0.1238	0.450991
10	0.168991	1.1585	0.126248
11	0.046904	0.3216	0.374607
12	-0.069137	-0.474	0.318854
13	-0.160083	-1.0975	0.139012
14	-0.062944	-0.4315	0.33403
15	0.121707	0.8344	0.204143
16	0.047917	0.3285	0.371996
17	0.051246	0.3513	0.363458
18	-0.005609	-0.0385	0.484744
19	0.042239	0.2896	0.386708
20	-0.170509	-1.1689	0.12416
21	-0.095337	-0.6536	0.258278
22	-0.184163	-1.2626	0.106489
23	0.27698	1.8989	0.031864
24	0.014649	0.1004	0.460217
25	0.011254	0.0772	0.469413
26	0.05147	0.3529	0.362885
27	-0.099295	-0.6807	0.249691
28	-0.101325	-0.6947	0.245347
29	-0.078285	-0.5367	0.297004
30	0.016967	0.1163	0.453946
31	0.025958	0.178	0.42976
32	-0.154754	-1.0609	0.147069
33	-0.052188	-0.3578	0.361053
34	-0.165169	-1.1323	0.131617
35	-0.088235	-0.6049	0.274074
36	0.010557	0.0724	0.471305
37	0.035955	0.2465	0.403186
38	-0.03204	-0.2197	0.413546
39	0.100596	0.6897	0.246902
40	0.097917	0.6713	0.252663
41	-0.098083	-0.6724	0.252304
42	0.013797	0.0946	0.462523
43	0.038814	0.2661	0.395666
44	-0.026448	-0.1813	0.428447
45	0.018568	0.1273	0.449626
46	-0.037374	-0.2562	0.399447
47	NA	NA	NA
48	NA	NA	NA

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 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; 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