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

Mon, 03 Dec 2012 12:06:35 -0500

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/2012/Dec/03/t13545544449uht57syw46ik73.htm/, Retrieved Sun, 05 May 2024 07:39:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=195872, Retrieved Sun, 05 May 2024 07:39:36 +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 Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [Unemployment] [2010-11-29 09:05:21] [b98453cac15ba1066b407e146608df68]
- R PD    [(Partial) Autocorrelation Function] [Workshop 9 - Stat...] [2012-12-03 16:46:54] [74be16979710d4c4e7c6647856088456]
-   P       [(Partial) Autocorrelation Function] [Workshop 9 - Stat...] [2012-12-03 16:48:14] [74be16979710d4c4e7c6647856088456]
-   P         [(Partial) Autocorrelation Function] [Workshop 9 - Stat...] [2012-12-03 16:58:54] [74be16979710d4c4e7c6647856088456]
-   P           [(Partial) Autocorrelation Function] [Workshop 9 - Stat...] [2012-12-03 17:03:52] [74be16979710d4c4e7c6647856088456]
-   P               [(Partial) Autocorrelation Function] [Workshop 9 - Stat...] [2012-12-03 17:06:35] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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	'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195872&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195872&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195872&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	'George Udny Yule' @ yule.wessa.net

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.785794	-5.3295	1e-06
2	0.375565	2.5472	0.007134
3	-0.081684	-0.554	0.291129
4	-0.054938	-0.3726	0.355575
5	0.084704	0.5745	0.284218
6	-0.018339	-0.1244	0.450779
7	-0.067032	-0.4546	0.325755
8	0.066833	0.4533	0.326237
9	0.024828	0.1684	0.433508
10	-0.168234	-1.141	0.129883
11	0.328034	2.2248	0.015519
12	-0.40751	-2.7639	0.004094
13	0.325264	2.206	0.016207
14	-0.170012	-1.1531	0.127418
15	0.066981	0.4543	0.325879
16	-0.010488	-0.0711	0.471801
17	-0.056387	-0.3824	0.351951
18	0.099121	0.6723	0.252388
19	-0.040576	-0.2752	0.392198
20	-0.093486	-0.634	0.264594
21	0.204898	1.3897	0.085657
22	-0.245546	-1.6654	0.051318
23	0.216775	1.4702	0.074152
24	-0.124691	-0.8457	0.201049
25	0.014573	0.0988	0.460849
26	0.051807	0.3514	0.363458
27	-0.062552	-0.4242	0.336682
28	0.030519	0.207	0.418464
29	0.04273	0.2898	0.386632
30	-0.102166	-0.6929	0.24592
31	0.049188	0.3336	0.370095
32	0.099456	0.6745	0.251671
33	-0.22036	-1.4946	0.07093
34	0.246172	1.6696	0.050894
35	-0.198086	-1.3435	0.092853
36	0.109477	0.7425	0.230777
37	-0.022254	-0.1509	0.440344
38	-0.019149	-0.1299	0.448617
39	0.014642	0.0993	0.460663
40	-0.001686	-0.0114	0.495464
41	-0.003475	-0.0236	0.49065
42	0.005671	0.0385	0.484742
43	-0.003544	-0.024	0.490465
44	-0.000643	-0.0044	0.498268
45	0.001391	0.0094	0.496258
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
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 & -0.785794 & -5.3295 & 1e-06 \tabularnewline
2 & 0.375565 & 2.5472 & 0.007134 \tabularnewline
3 & -0.081684 & -0.554 & 0.291129 \tabularnewline
4 & -0.054938 & -0.3726 & 0.355575 \tabularnewline
5 & 0.084704 & 0.5745 & 0.284218 \tabularnewline
6 & -0.018339 & -0.1244 & 0.450779 \tabularnewline
7 & -0.067032 & -0.4546 & 0.325755 \tabularnewline
8 & 0.066833 & 0.4533 & 0.326237 \tabularnewline
9 & 0.024828 & 0.1684 & 0.433508 \tabularnewline
10 & -0.168234 & -1.141 & 0.129883 \tabularnewline
11 & 0.328034 & 2.2248 & 0.015519 \tabularnewline
12 & -0.40751 & -2.7639 & 0.004094 \tabularnewline
13 & 0.325264 & 2.206 & 0.016207 \tabularnewline
14 & -0.170012 & -1.1531 & 0.127418 \tabularnewline
15 & 0.066981 & 0.4543 & 0.325879 \tabularnewline
16 & -0.010488 & -0.0711 & 0.471801 \tabularnewline
17 & -0.056387 & -0.3824 & 0.351951 \tabularnewline
18 & 0.099121 & 0.6723 & 0.252388 \tabularnewline
19 & -0.040576 & -0.2752 & 0.392198 \tabularnewline
20 & -0.093486 & -0.634 & 0.264594 \tabularnewline
21 & 0.204898 & 1.3897 & 0.085657 \tabularnewline
22 & -0.245546 & -1.6654 & 0.051318 \tabularnewline
23 & 0.216775 & 1.4702 & 0.074152 \tabularnewline
24 & -0.124691 & -0.8457 & 0.201049 \tabularnewline
25 & 0.014573 & 0.0988 & 0.460849 \tabularnewline
26 & 0.051807 & 0.3514 & 0.363458 \tabularnewline
27 & -0.062552 & -0.4242 & 0.336682 \tabularnewline
28 & 0.030519 & 0.207 & 0.418464 \tabularnewline
29 & 0.04273 & 0.2898 & 0.386632 \tabularnewline
30 & -0.102166 & -0.6929 & 0.24592 \tabularnewline
31 & 0.049188 & 0.3336 & 0.370095 \tabularnewline
32 & 0.099456 & 0.6745 & 0.251671 \tabularnewline
33 & -0.22036 & -1.4946 & 0.07093 \tabularnewline
34 & 0.246172 & 1.6696 & 0.050894 \tabularnewline
35 & -0.198086 & -1.3435 & 0.092853 \tabularnewline
36 & 0.109477 & 0.7425 & 0.230777 \tabularnewline
37 & -0.022254 & -0.1509 & 0.440344 \tabularnewline
38 & -0.019149 & -0.1299 & 0.448617 \tabularnewline
39 & 0.014642 & 0.0993 & 0.460663 \tabularnewline
40 & -0.001686 & -0.0114 & 0.495464 \tabularnewline
41 & -0.003475 & -0.0236 & 0.49065 \tabularnewline
42 & 0.005671 & 0.0385 & 0.484742 \tabularnewline
43 & -0.003544 & -0.024 & 0.490465 \tabularnewline
44 & -0.000643 & -0.0044 & 0.498268 \tabularnewline
45 & 0.001391 & 0.0094 & 0.496258 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \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=195872&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]-0.785794[/C][C]-5.3295[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.375565[/C][C]2.5472[/C][C]0.007134[/C][/ROW]
[ROW][C]3[/C][C]-0.081684[/C][C]-0.554[/C][C]0.291129[/C][/ROW]
[ROW][C]4[/C][C]-0.054938[/C][C]-0.3726[/C][C]0.355575[/C][/ROW]
[ROW][C]5[/C][C]0.084704[/C][C]0.5745[/C][C]0.284218[/C][/ROW]
[ROW][C]6[/C][C]-0.018339[/C][C]-0.1244[/C][C]0.450779[/C][/ROW]
[ROW][C]7[/C][C]-0.067032[/C][C]-0.4546[/C][C]0.325755[/C][/ROW]
[ROW][C]8[/C][C]0.066833[/C][C]0.4533[/C][C]0.326237[/C][/ROW]
[ROW][C]9[/C][C]0.024828[/C][C]0.1684[/C][C]0.433508[/C][/ROW]
[ROW][C]10[/C][C]-0.168234[/C][C]-1.141[/C][C]0.129883[/C][/ROW]
[ROW][C]11[/C][C]0.328034[/C][C]2.2248[/C][C]0.015519[/C][/ROW]
[ROW][C]12[/C][C]-0.40751[/C][C]-2.7639[/C][C]0.004094[/C][/ROW]
[ROW][C]13[/C][C]0.325264[/C][C]2.206[/C][C]0.016207[/C][/ROW]
[ROW][C]14[/C][C]-0.170012[/C][C]-1.1531[/C][C]0.127418[/C][/ROW]
[ROW][C]15[/C][C]0.066981[/C][C]0.4543[/C][C]0.325879[/C][/ROW]
[ROW][C]16[/C][C]-0.010488[/C][C]-0.0711[/C][C]0.471801[/C][/ROW]
[ROW][C]17[/C][C]-0.056387[/C][C]-0.3824[/C][C]0.351951[/C][/ROW]
[ROW][C]18[/C][C]0.099121[/C][C]0.6723[/C][C]0.252388[/C][/ROW]
[ROW][C]19[/C][C]-0.040576[/C][C]-0.2752[/C][C]0.392198[/C][/ROW]
[ROW][C]20[/C][C]-0.093486[/C][C]-0.634[/C][C]0.264594[/C][/ROW]
[ROW][C]21[/C][C]0.204898[/C][C]1.3897[/C][C]0.085657[/C][/ROW]
[ROW][C]22[/C][C]-0.245546[/C][C]-1.6654[/C][C]0.051318[/C][/ROW]
[ROW][C]23[/C][C]0.216775[/C][C]1.4702[/C][C]0.074152[/C][/ROW]
[ROW][C]24[/C][C]-0.124691[/C][C]-0.8457[/C][C]0.201049[/C][/ROW]
[ROW][C]25[/C][C]0.014573[/C][C]0.0988[/C][C]0.460849[/C][/ROW]
[ROW][C]26[/C][C]0.051807[/C][C]0.3514[/C][C]0.363458[/C][/ROW]
[ROW][C]27[/C][C]-0.062552[/C][C]-0.4242[/C][C]0.336682[/C][/ROW]
[ROW][C]28[/C][C]0.030519[/C][C]0.207[/C][C]0.418464[/C][/ROW]
[ROW][C]29[/C][C]0.04273[/C][C]0.2898[/C][C]0.386632[/C][/ROW]
[ROW][C]30[/C][C]-0.102166[/C][C]-0.6929[/C][C]0.24592[/C][/ROW]
[ROW][C]31[/C][C]0.049188[/C][C]0.3336[/C][C]0.370095[/C][/ROW]
[ROW][C]32[/C][C]0.099456[/C][C]0.6745[/C][C]0.251671[/C][/ROW]
[ROW][C]33[/C][C]-0.22036[/C][C]-1.4946[/C][C]0.07093[/C][/ROW]
[ROW][C]34[/C][C]0.246172[/C][C]1.6696[/C][C]0.050894[/C][/ROW]
[ROW][C]35[/C][C]-0.198086[/C][C]-1.3435[/C][C]0.092853[/C][/ROW]
[ROW][C]36[/C][C]0.109477[/C][C]0.7425[/C][C]0.230777[/C][/ROW]
[ROW][C]37[/C][C]-0.022254[/C][C]-0.1509[/C][C]0.440344[/C][/ROW]
[ROW][C]38[/C][C]-0.019149[/C][C]-0.1299[/C][C]0.448617[/C][/ROW]
[ROW][C]39[/C][C]0.014642[/C][C]0.0993[/C][C]0.460663[/C][/ROW]
[ROW][C]40[/C][C]-0.001686[/C][C]-0.0114[/C][C]0.495464[/C][/ROW]
[ROW][C]41[/C][C]-0.003475[/C][C]-0.0236[/C][C]0.49065[/C][/ROW]
[ROW][C]42[/C][C]0.005671[/C][C]0.0385[/C][C]0.484742[/C][/ROW]
[ROW][C]43[/C][C]-0.003544[/C][C]-0.024[/C][C]0.490465[/C][/ROW]
[ROW][C]44[/C][C]-0.000643[/C][C]-0.0044[/C][C]0.498268[/C][/ROW]
[ROW][C]45[/C][C]0.001391[/C][C]0.0094[/C][C]0.496258[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/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=195872&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195872&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	-0.785794	-5.3295	1e-06
2	0.375565	2.5472	0.007134
3	-0.081684	-0.554	0.291129
4	-0.054938	-0.3726	0.355575
5	0.084704	0.5745	0.284218
6	-0.018339	-0.1244	0.450779
7	-0.067032	-0.4546	0.325755
8	0.066833	0.4533	0.326237
9	0.024828	0.1684	0.433508
10	-0.168234	-1.141	0.129883
11	0.328034	2.2248	0.015519
12	-0.40751	-2.7639	0.004094
13	0.325264	2.206	0.016207
14	-0.170012	-1.1531	0.127418
15	0.066981	0.4543	0.325879
16	-0.010488	-0.0711	0.471801
17	-0.056387	-0.3824	0.351951
18	0.099121	0.6723	0.252388
19	-0.040576	-0.2752	0.392198
20	-0.093486	-0.634	0.264594
21	0.204898	1.3897	0.085657
22	-0.245546	-1.6654	0.051318
23	0.216775	1.4702	0.074152
24	-0.124691	-0.8457	0.201049
25	0.014573	0.0988	0.460849
26	0.051807	0.3514	0.363458
27	-0.062552	-0.4242	0.336682
28	0.030519	0.207	0.418464
29	0.04273	0.2898	0.386632
30	-0.102166	-0.6929	0.24592
31	0.049188	0.3336	0.370095
32	0.099456	0.6745	0.251671
33	-0.22036	-1.4946	0.07093
34	0.246172	1.6696	0.050894
35	-0.198086	-1.3435	0.092853
36	0.109477	0.7425	0.230777
37	-0.022254	-0.1509	0.440344
38	-0.019149	-0.1299	0.448617
39	0.014642	0.0993	0.460663
40	-0.001686	-0.0114	0.495464
41	-0.003475	-0.0236	0.49065
42	0.005671	0.0385	0.484742
43	-0.003544	-0.024	0.490465
44	-0.000643	-0.0044	0.498268
45	0.001391	0.0094	0.496258
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
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	-0.785794	-5.3295	1e-06
2	-0.632389	-4.2891	4.6e-05
3	-0.42198	-2.862	0.003158
4	-0.383267	-2.5994	0.006255
5	-0.382489	-2.5942	0.006339
6	-0.116425	-0.7896	0.216897
7	0.057845	0.3923	0.348316
8	-0.038676	-0.2623	0.397126
9	0.142689	0.9678	0.169111
10	-0.23596	-1.6004	0.058183
11	0.051002	0.3459	0.365492
12	0.097978	0.6645	0.254838
13	0.025693	0.1743	0.431213
14	-0.149979	-1.0172	0.157188
15	-0.138805	-0.9414	0.175703
16	-0.040164	-0.2724	0.393263
17	-0.246984	-1.6751	0.050348
18	-0.222953	-1.5121	0.068669
19	0.198903	1.349	0.091966
20	-0.044368	-0.3009	0.382415
21	0.180598	1.2249	0.113429
22	-0.085957	-0.583	0.281374
23	0.013838	0.0939	0.462816
24	0.044646	0.3028	0.381703
25	0.052115	0.3535	0.362678
26	0.050449	0.3422	0.366894
27	-0.029987	-0.2034	0.419866
28	-0.078893	-0.5351	0.297587
29	-0.049769	-0.3376	0.368618
30	-0.006899	-0.0468	0.481441
31	0.003424	0.0232	0.490788
32	-0.056158	-0.3809	0.352522
33	0.004149	0.0281	0.488837
34	-0.138046	-0.9363	0.177011
35	-0.007035	-0.0477	0.481076
36	0.020367	0.1381	0.445367
37	-0.046921	-0.3182	0.375875
38	0.015863	0.1076	0.457394
39	-0.02449	-0.1661	0.434403
40	-0.116343	-0.7891	0.217058
41	-0.036244	-0.2458	0.403458
42	-0.034482	-0.2339	0.408063
43	-0.101776	-0.6903	0.246744
44	-0.102667	-0.6963	0.244867
45	-0.010597	-0.0719	0.471508
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
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 & -0.785794 & -5.3295 & 1e-06 \tabularnewline
2 & -0.632389 & -4.2891 & 4.6e-05 \tabularnewline
3 & -0.42198 & -2.862 & 0.003158 \tabularnewline
4 & -0.383267 & -2.5994 & 0.006255 \tabularnewline
5 & -0.382489 & -2.5942 & 0.006339 \tabularnewline
6 & -0.116425 & -0.7896 & 0.216897 \tabularnewline
7 & 0.057845 & 0.3923 & 0.348316 \tabularnewline
8 & -0.038676 & -0.2623 & 0.397126 \tabularnewline
9 & 0.142689 & 0.9678 & 0.169111 \tabularnewline
10 & -0.23596 & -1.6004 & 0.058183 \tabularnewline
11 & 0.051002 & 0.3459 & 0.365492 \tabularnewline
12 & 0.097978 & 0.6645 & 0.254838 \tabularnewline
13 & 0.025693 & 0.1743 & 0.431213 \tabularnewline
14 & -0.149979 & -1.0172 & 0.157188 \tabularnewline
15 & -0.138805 & -0.9414 & 0.175703 \tabularnewline
16 & -0.040164 & -0.2724 & 0.393263 \tabularnewline
17 & -0.246984 & -1.6751 & 0.050348 \tabularnewline
18 & -0.222953 & -1.5121 & 0.068669 \tabularnewline
19 & 0.198903 & 1.349 & 0.091966 \tabularnewline
20 & -0.044368 & -0.3009 & 0.382415 \tabularnewline
21 & 0.180598 & 1.2249 & 0.113429 \tabularnewline
22 & -0.085957 & -0.583 & 0.281374 \tabularnewline
23 & 0.013838 & 0.0939 & 0.462816 \tabularnewline
24 & 0.044646 & 0.3028 & 0.381703 \tabularnewline
25 & 0.052115 & 0.3535 & 0.362678 \tabularnewline
26 & 0.050449 & 0.3422 & 0.366894 \tabularnewline
27 & -0.029987 & -0.2034 & 0.419866 \tabularnewline
28 & -0.078893 & -0.5351 & 0.297587 \tabularnewline
29 & -0.049769 & -0.3376 & 0.368618 \tabularnewline
30 & -0.006899 & -0.0468 & 0.481441 \tabularnewline
31 & 0.003424 & 0.0232 & 0.490788 \tabularnewline
32 & -0.056158 & -0.3809 & 0.352522 \tabularnewline
33 & 0.004149 & 0.0281 & 0.488837 \tabularnewline
34 & -0.138046 & -0.9363 & 0.177011 \tabularnewline
35 & -0.007035 & -0.0477 & 0.481076 \tabularnewline
36 & 0.020367 & 0.1381 & 0.445367 \tabularnewline
37 & -0.046921 & -0.3182 & 0.375875 \tabularnewline
38 & 0.015863 & 0.1076 & 0.457394 \tabularnewline
39 & -0.02449 & -0.1661 & 0.434403 \tabularnewline
40 & -0.116343 & -0.7891 & 0.217058 \tabularnewline
41 & -0.036244 & -0.2458 & 0.403458 \tabularnewline
42 & -0.034482 & -0.2339 & 0.408063 \tabularnewline
43 & -0.101776 & -0.6903 & 0.246744 \tabularnewline
44 & -0.102667 & -0.6963 & 0.244867 \tabularnewline
45 & -0.010597 & -0.0719 & 0.471508 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \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=195872&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]-0.785794[/C][C]-5.3295[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.632389[/C][C]-4.2891[/C][C]4.6e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.42198[/C][C]-2.862[/C][C]0.003158[/C][/ROW]
[ROW][C]4[/C][C]-0.383267[/C][C]-2.5994[/C][C]0.006255[/C][/ROW]
[ROW][C]5[/C][C]-0.382489[/C][C]-2.5942[/C][C]0.006339[/C][/ROW]
[ROW][C]6[/C][C]-0.116425[/C][C]-0.7896[/C][C]0.216897[/C][/ROW]
[ROW][C]7[/C][C]0.057845[/C][C]0.3923[/C][C]0.348316[/C][/ROW]
[ROW][C]8[/C][C]-0.038676[/C][C]-0.2623[/C][C]0.397126[/C][/ROW]
[ROW][C]9[/C][C]0.142689[/C][C]0.9678[/C][C]0.169111[/C][/ROW]
[ROW][C]10[/C][C]-0.23596[/C][C]-1.6004[/C][C]0.058183[/C][/ROW]
[ROW][C]11[/C][C]0.051002[/C][C]0.3459[/C][C]0.365492[/C][/ROW]
[ROW][C]12[/C][C]0.097978[/C][C]0.6645[/C][C]0.254838[/C][/ROW]
[ROW][C]13[/C][C]0.025693[/C][C]0.1743[/C][C]0.431213[/C][/ROW]
[ROW][C]14[/C][C]-0.149979[/C][C]-1.0172[/C][C]0.157188[/C][/ROW]
[ROW][C]15[/C][C]-0.138805[/C][C]-0.9414[/C][C]0.175703[/C][/ROW]
[ROW][C]16[/C][C]-0.040164[/C][C]-0.2724[/C][C]0.393263[/C][/ROW]
[ROW][C]17[/C][C]-0.246984[/C][C]-1.6751[/C][C]0.050348[/C][/ROW]
[ROW][C]18[/C][C]-0.222953[/C][C]-1.5121[/C][C]0.068669[/C][/ROW]
[ROW][C]19[/C][C]0.198903[/C][C]1.349[/C][C]0.091966[/C][/ROW]
[ROW][C]20[/C][C]-0.044368[/C][C]-0.3009[/C][C]0.382415[/C][/ROW]
[ROW][C]21[/C][C]0.180598[/C][C]1.2249[/C][C]0.113429[/C][/ROW]
[ROW][C]22[/C][C]-0.085957[/C][C]-0.583[/C][C]0.281374[/C][/ROW]
[ROW][C]23[/C][C]0.013838[/C][C]0.0939[/C][C]0.462816[/C][/ROW]
[ROW][C]24[/C][C]0.044646[/C][C]0.3028[/C][C]0.381703[/C][/ROW]
[ROW][C]25[/C][C]0.052115[/C][C]0.3535[/C][C]0.362678[/C][/ROW]
[ROW][C]26[/C][C]0.050449[/C][C]0.3422[/C][C]0.366894[/C][/ROW]
[ROW][C]27[/C][C]-0.029987[/C][C]-0.2034[/C][C]0.419866[/C][/ROW]
[ROW][C]28[/C][C]-0.078893[/C][C]-0.5351[/C][C]0.297587[/C][/ROW]
[ROW][C]29[/C][C]-0.049769[/C][C]-0.3376[/C][C]0.368618[/C][/ROW]
[ROW][C]30[/C][C]-0.006899[/C][C]-0.0468[/C][C]0.481441[/C][/ROW]
[ROW][C]31[/C][C]0.003424[/C][C]0.0232[/C][C]0.490788[/C][/ROW]
[ROW][C]32[/C][C]-0.056158[/C][C]-0.3809[/C][C]0.352522[/C][/ROW]
[ROW][C]33[/C][C]0.004149[/C][C]0.0281[/C][C]0.488837[/C][/ROW]
[ROW][C]34[/C][C]-0.138046[/C][C]-0.9363[/C][C]0.177011[/C][/ROW]
[ROW][C]35[/C][C]-0.007035[/C][C]-0.0477[/C][C]0.481076[/C][/ROW]
[ROW][C]36[/C][C]0.020367[/C][C]0.1381[/C][C]0.445367[/C][/ROW]
[ROW][C]37[/C][C]-0.046921[/C][C]-0.3182[/C][C]0.375875[/C][/ROW]
[ROW][C]38[/C][C]0.015863[/C][C]0.1076[/C][C]0.457394[/C][/ROW]
[ROW][C]39[/C][C]-0.02449[/C][C]-0.1661[/C][C]0.434403[/C][/ROW]
[ROW][C]40[/C][C]-0.116343[/C][C]-0.7891[/C][C]0.217058[/C][/ROW]
[ROW][C]41[/C][C]-0.036244[/C][C]-0.2458[/C][C]0.403458[/C][/ROW]
[ROW][C]42[/C][C]-0.034482[/C][C]-0.2339[/C][C]0.408063[/C][/ROW]
[ROW][C]43[/C][C]-0.101776[/C][C]-0.6903[/C][C]0.246744[/C][/ROW]
[ROW][C]44[/C][C]-0.102667[/C][C]-0.6963[/C][C]0.244867[/C][/ROW]
[ROW][C]45[/C][C]-0.010597[/C][C]-0.0719[/C][C]0.471508[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/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=195872&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195872&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	-0.785794	-5.3295	1e-06
2	-0.632389	-4.2891	4.6e-05
3	-0.42198	-2.862	0.003158
4	-0.383267	-2.5994	0.006255
5	-0.382489	-2.5942	0.006339
6	-0.116425	-0.7896	0.216897
7	0.057845	0.3923	0.348316
8	-0.038676	-0.2623	0.397126
9	0.142689	0.9678	0.169111
10	-0.23596	-1.6004	0.058183
11	0.051002	0.3459	0.365492
12	0.097978	0.6645	0.254838
13	0.025693	0.1743	0.431213
14	-0.149979	-1.0172	0.157188
15	-0.138805	-0.9414	0.175703
16	-0.040164	-0.2724	0.393263
17	-0.246984	-1.6751	0.050348
18	-0.222953	-1.5121	0.068669
19	0.198903	1.349	0.091966
20	-0.044368	-0.3009	0.382415
21	0.180598	1.2249	0.113429
22	-0.085957	-0.583	0.281374
23	0.013838	0.0939	0.462816
24	0.044646	0.3028	0.381703
25	0.052115	0.3535	0.362678
26	0.050449	0.3422	0.366894
27	-0.029987	-0.2034	0.419866
28	-0.078893	-0.5351	0.297587
29	-0.049769	-0.3376	0.368618
30	-0.006899	-0.0468	0.481441
31	0.003424	0.0232	0.490788
32	-0.056158	-0.3809	0.352522
33	0.004149	0.0281	0.488837
34	-0.138046	-0.9363	0.177011
35	-0.007035	-0.0477	0.481076
36	0.020367	0.1381	0.445367
37	-0.046921	-0.3182	0.375875
38	0.015863	0.1076	0.457394
39	-0.02449	-0.1661	0.434403
40	-0.116343	-0.7891	0.217058
41	-0.036244	-0.2458	0.403458
42	-0.034482	-0.2339	0.408063
43	-0.101776	-0.6903	0.246744
44	-0.102667	-0.6963	0.244867
45	-0.010597	-0.0719	0.471508
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
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 ; par3 = 2 ; par4 = 2 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 2 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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