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

Fri, 24 Dec 2010 15:46:54 +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/24/t12932054761wbzf6z65hxi7xu.htm/, Retrieved Tue, 30 Apr 2024 07:10:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115142, Retrieved Tue, 30 Apr 2024 07:10:32 +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

134

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

F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:18:46] [7173087adebe3e3a714c80ea2417b3eb]
- RMP     [Central Tendency] [tijdreeks 2 centr...] [2008-10-19 17:39:42] [7173087adebe3e3a714c80ea2417b3eb]
- RMP       [(Partial) Autocorrelation Function] [ACF aanvragen hyp...] [2008-12-16 14:51:47] [7d3039e6253bb5fb3b26df1537d500b4]
-   P         [(Partial) Autocorrelation Function] [ACF met ingevulde...] [2008-12-16 15:15:28] [7d3039e6253bb5fb3b26df1537d500b4]
-  MPD          [(Partial) Autocorrelation Function] [] [2009-12-18 09:05:22] [ebd107afac1bd6180acb277edd05815b]
-    D              [(Partial) Autocorrelation Function] [] [2010-12-24 15:46:54] [817f44ab92560f82acbc5e6c80d9a294] [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	'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=115142&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=115142&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115142&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	-0.348734	-2.4161	0.009771
2	0.027364	0.1896	0.425219
3	0.452524	3.1352	0.001465
4	-0.2659	-1.8422	0.035813
5	0.153418	1.0629	0.146571
6	0.159728	1.1066	0.136985
7	-0.304405	-2.109	0.020095
8	0.137149	0.9502	0.173386
9	-0.057704	-0.3998	0.345543
10	-0.162067	-1.1228	0.133547
11	0.072117	0.4996	0.309805
12	-0.118598	-0.8217	0.207663
13	-0.138477	-0.9594	0.171084
14	0.009886	0.0685	0.472839
15	0.016274	0.1128	0.455349
16	-0.122175	-0.8465	0.20075
17	-0.002165	-0.015	0.494048
18	0.002789	0.0193	0.492332
19	-0.061047	-0.4229	0.337112
20	0.133242	0.9231	0.180279
21	-0.086788	-0.6013	0.275241
22	-0.056932	-0.3944	0.347504
23	0.235038	1.6284	0.054994
24	-0.211874	-1.4679	0.074326
25	0.114021	0.79	0.216717
26	0.105251	0.7292	0.234712
27	-0.179953	-1.2468	0.109269
28	0.103545	0.7174	0.238307
29	0.064084	0.444	0.329524
30	-0.083503	-0.5785	0.282807
31	0.040273	0.279	0.390713
32	0.016056	0.1112	0.455945
33	-0.067115	-0.465	0.322021
34	0.056341	0.3903	0.349004
35	-0.00999	-0.0692	0.472553
36	-0.083524	-0.5787	0.282758
37	-0.031125	-0.2156	0.415092
38	0.060225	0.4173	0.339177
39	-0.066674	-0.4619	0.323108
40	-0.004945	-0.0343	0.486406
41	0.022804	0.158	0.437564
42	-0.036476	-0.2527	0.400786
43	0.016671	0.1155	0.454265
44	0.005936	0.0411	0.483683
45	-0.000676	-0.0047	0.49814
46	-0.001289	-0.0089	0.496456
47	-0.002601	-0.018	0.492848
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 & -0.348734 & -2.4161 & 0.009771 \tabularnewline
2 & 0.027364 & 0.1896 & 0.425219 \tabularnewline
3 & 0.452524 & 3.1352 & 0.001465 \tabularnewline
4 & -0.2659 & -1.8422 & 0.035813 \tabularnewline
5 & 0.153418 & 1.0629 & 0.146571 \tabularnewline
6 & 0.159728 & 1.1066 & 0.136985 \tabularnewline
7 & -0.304405 & -2.109 & 0.020095 \tabularnewline
8 & 0.137149 & 0.9502 & 0.173386 \tabularnewline
9 & -0.057704 & -0.3998 & 0.345543 \tabularnewline
10 & -0.162067 & -1.1228 & 0.133547 \tabularnewline
11 & 0.072117 & 0.4996 & 0.309805 \tabularnewline
12 & -0.118598 & -0.8217 & 0.207663 \tabularnewline
13 & -0.138477 & -0.9594 & 0.171084 \tabularnewline
14 & 0.009886 & 0.0685 & 0.472839 \tabularnewline
15 & 0.016274 & 0.1128 & 0.455349 \tabularnewline
16 & -0.122175 & -0.8465 & 0.20075 \tabularnewline
17 & -0.002165 & -0.015 & 0.494048 \tabularnewline
18 & 0.002789 & 0.0193 & 0.492332 \tabularnewline
19 & -0.061047 & -0.4229 & 0.337112 \tabularnewline
20 & 0.133242 & 0.9231 & 0.180279 \tabularnewline
21 & -0.086788 & -0.6013 & 0.275241 \tabularnewline
22 & -0.056932 & -0.3944 & 0.347504 \tabularnewline
23 & 0.235038 & 1.6284 & 0.054994 \tabularnewline
24 & -0.211874 & -1.4679 & 0.074326 \tabularnewline
25 & 0.114021 & 0.79 & 0.216717 \tabularnewline
26 & 0.105251 & 0.7292 & 0.234712 \tabularnewline
27 & -0.179953 & -1.2468 & 0.109269 \tabularnewline
28 & 0.103545 & 0.7174 & 0.238307 \tabularnewline
29 & 0.064084 & 0.444 & 0.329524 \tabularnewline
30 & -0.083503 & -0.5785 & 0.282807 \tabularnewline
31 & 0.040273 & 0.279 & 0.390713 \tabularnewline
32 & 0.016056 & 0.1112 & 0.455945 \tabularnewline
33 & -0.067115 & -0.465 & 0.322021 \tabularnewline
34 & 0.056341 & 0.3903 & 0.349004 \tabularnewline
35 & -0.00999 & -0.0692 & 0.472553 \tabularnewline
36 & -0.083524 & -0.5787 & 0.282758 \tabularnewline
37 & -0.031125 & -0.2156 & 0.415092 \tabularnewline
38 & 0.060225 & 0.4173 & 0.339177 \tabularnewline
39 & -0.066674 & -0.4619 & 0.323108 \tabularnewline
40 & -0.004945 & -0.0343 & 0.486406 \tabularnewline
41 & 0.022804 & 0.158 & 0.437564 \tabularnewline
42 & -0.036476 & -0.2527 & 0.400786 \tabularnewline
43 & 0.016671 & 0.1155 & 0.454265 \tabularnewline
44 & 0.005936 & 0.0411 & 0.483683 \tabularnewline
45 & -0.000676 & -0.0047 & 0.49814 \tabularnewline
46 & -0.001289 & -0.0089 & 0.496456 \tabularnewline
47 & -0.002601 & -0.018 & 0.492848 \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=115142&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]-0.348734[/C][C]-2.4161[/C][C]0.009771[/C][/ROW]
[ROW][C]2[/C][C]0.027364[/C][C]0.1896[/C][C]0.425219[/C][/ROW]
[ROW][C]3[/C][C]0.452524[/C][C]3.1352[/C][C]0.001465[/C][/ROW]
[ROW][C]4[/C][C]-0.2659[/C][C]-1.8422[/C][C]0.035813[/C][/ROW]
[ROW][C]5[/C][C]0.153418[/C][C]1.0629[/C][C]0.146571[/C][/ROW]
[ROW][C]6[/C][C]0.159728[/C][C]1.1066[/C][C]0.136985[/C][/ROW]
[ROW][C]7[/C][C]-0.304405[/C][C]-2.109[/C][C]0.020095[/C][/ROW]
[ROW][C]8[/C][C]0.137149[/C][C]0.9502[/C][C]0.173386[/C][/ROW]
[ROW][C]9[/C][C]-0.057704[/C][C]-0.3998[/C][C]0.345543[/C][/ROW]
[ROW][C]10[/C][C]-0.162067[/C][C]-1.1228[/C][C]0.133547[/C][/ROW]
[ROW][C]11[/C][C]0.072117[/C][C]0.4996[/C][C]0.309805[/C][/ROW]
[ROW][C]12[/C][C]-0.118598[/C][C]-0.8217[/C][C]0.207663[/C][/ROW]
[ROW][C]13[/C][C]-0.138477[/C][C]-0.9594[/C][C]0.171084[/C][/ROW]
[ROW][C]14[/C][C]0.009886[/C][C]0.0685[/C][C]0.472839[/C][/ROW]
[ROW][C]15[/C][C]0.016274[/C][C]0.1128[/C][C]0.455349[/C][/ROW]
[ROW][C]16[/C][C]-0.122175[/C][C]-0.8465[/C][C]0.20075[/C][/ROW]
[ROW][C]17[/C][C]-0.002165[/C][C]-0.015[/C][C]0.494048[/C][/ROW]
[ROW][C]18[/C][C]0.002789[/C][C]0.0193[/C][C]0.492332[/C][/ROW]
[ROW][C]19[/C][C]-0.061047[/C][C]-0.4229[/C][C]0.337112[/C][/ROW]
[ROW][C]20[/C][C]0.133242[/C][C]0.9231[/C][C]0.180279[/C][/ROW]
[ROW][C]21[/C][C]-0.086788[/C][C]-0.6013[/C][C]0.275241[/C][/ROW]
[ROW][C]22[/C][C]-0.056932[/C][C]-0.3944[/C][C]0.347504[/C][/ROW]
[ROW][C]23[/C][C]0.235038[/C][C]1.6284[/C][C]0.054994[/C][/ROW]
[ROW][C]24[/C][C]-0.211874[/C][C]-1.4679[/C][C]0.074326[/C][/ROW]
[ROW][C]25[/C][C]0.114021[/C][C]0.79[/C][C]0.216717[/C][/ROW]
[ROW][C]26[/C][C]0.105251[/C][C]0.7292[/C][C]0.234712[/C][/ROW]
[ROW][C]27[/C][C]-0.179953[/C][C]-1.2468[/C][C]0.109269[/C][/ROW]
[ROW][C]28[/C][C]0.103545[/C][C]0.7174[/C][C]0.238307[/C][/ROW]
[ROW][C]29[/C][C]0.064084[/C][C]0.444[/C][C]0.329524[/C][/ROW]
[ROW][C]30[/C][C]-0.083503[/C][C]-0.5785[/C][C]0.282807[/C][/ROW]
[ROW][C]31[/C][C]0.040273[/C][C]0.279[/C][C]0.390713[/C][/ROW]
[ROW][C]32[/C][C]0.016056[/C][C]0.1112[/C][C]0.455945[/C][/ROW]
[ROW][C]33[/C][C]-0.067115[/C][C]-0.465[/C][C]0.322021[/C][/ROW]
[ROW][C]34[/C][C]0.056341[/C][C]0.3903[/C][C]0.349004[/C][/ROW]
[ROW][C]35[/C][C]-0.00999[/C][C]-0.0692[/C][C]0.472553[/C][/ROW]
[ROW][C]36[/C][C]-0.083524[/C][C]-0.5787[/C][C]0.282758[/C][/ROW]
[ROW][C]37[/C][C]-0.031125[/C][C]-0.2156[/C][C]0.415092[/C][/ROW]
[ROW][C]38[/C][C]0.060225[/C][C]0.4173[/C][C]0.339177[/C][/ROW]
[ROW][C]39[/C][C]-0.066674[/C][C]-0.4619[/C][C]0.323108[/C][/ROW]
[ROW][C]40[/C][C]-0.004945[/C][C]-0.0343[/C][C]0.486406[/C][/ROW]
[ROW][C]41[/C][C]0.022804[/C][C]0.158[/C][C]0.437564[/C][/ROW]
[ROW][C]42[/C][C]-0.036476[/C][C]-0.2527[/C][C]0.400786[/C][/ROW]
[ROW][C]43[/C][C]0.016671[/C][C]0.1155[/C][C]0.454265[/C][/ROW]
[ROW][C]44[/C][C]0.005936[/C][C]0.0411[/C][C]0.483683[/C][/ROW]
[ROW][C]45[/C][C]-0.000676[/C][C]-0.0047[/C][C]0.49814[/C][/ROW]
[ROW][C]46[/C][C]-0.001289[/C][C]-0.0089[/C][C]0.496456[/C][/ROW]
[ROW][C]47[/C][C]-0.002601[/C][C]-0.018[/C][C]0.492848[/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=115142&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115142&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	-0.348734	-2.4161	0.009771
2	0.027364	0.1896	0.425219
3	0.452524	3.1352	0.001465
4	-0.2659	-1.8422	0.035813
5	0.153418	1.0629	0.146571
6	0.159728	1.1066	0.136985
7	-0.304405	-2.109	0.020095
8	0.137149	0.9502	0.173386
9	-0.057704	-0.3998	0.345543
10	-0.162067	-1.1228	0.133547
11	0.072117	0.4996	0.309805
12	-0.118598	-0.8217	0.207663
13	-0.138477	-0.9594	0.171084
14	0.009886	0.0685	0.472839
15	0.016274	0.1128	0.455349
16	-0.122175	-0.8465	0.20075
17	-0.002165	-0.015	0.494048
18	0.002789	0.0193	0.492332
19	-0.061047	-0.4229	0.337112
20	0.133242	0.9231	0.180279
21	-0.086788	-0.6013	0.275241
22	-0.056932	-0.3944	0.347504
23	0.235038	1.6284	0.054994
24	-0.211874	-1.4679	0.074326
25	0.114021	0.79	0.216717
26	0.105251	0.7292	0.234712
27	-0.179953	-1.2468	0.109269
28	0.103545	0.7174	0.238307
29	0.064084	0.444	0.329524
30	-0.083503	-0.5785	0.282807
31	0.040273	0.279	0.390713
32	0.016056	0.1112	0.455945
33	-0.067115	-0.465	0.322021
34	0.056341	0.3903	0.349004
35	-0.00999	-0.0692	0.472553
36	-0.083524	-0.5787	0.282758
37	-0.031125	-0.2156	0.415092
38	0.060225	0.4173	0.339177
39	-0.066674	-0.4619	0.323108
40	-0.004945	-0.0343	0.486406
41	0.022804	0.158	0.437564
42	-0.036476	-0.2527	0.400786
43	0.016671	0.1155	0.454265
44	0.005936	0.0411	0.483683
45	-0.000676	-0.0047	0.49814
46	-0.001289	-0.0089	0.496456
47	-0.002601	-0.018	0.492848
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	-0.348734	-2.4161	0.009771
2	-0.107302	-0.7434	0.230429
3	0.490251	3.3966	0.00069
4	0.08151	0.5647	0.287448
5	0.052321	0.3625	0.359288
6	0.020856	0.1445	0.442858
7	-0.240268	-1.6646	0.051251
8	-0.199155	-1.3798	0.087023
9	-0.169899	-1.1771	0.12248
10	-0.018754	-0.1299	0.448581
11	0.02603	0.1803	0.428823
12	0.045827	0.3175	0.37612
13	-0.086876	-0.6019	0.275039
14	-0.170672	-1.1824	0.121426
15	0.079863	0.5533	0.291311
16	0.03104	0.215	0.41532
17	-0.032701	-0.2266	0.410865
18	-0.072127	-0.4997	0.309781
19	-0.046032	-0.3189	0.375585
20	0.118456	0.8207	0.207941
21	-0.046789	-0.3242	0.373612
22	-0.135415	-0.9382	0.176423
23	0.106822	0.7401	0.231427
24	-0.076759	-0.5318	0.298659
25	0.000905	0.0063	0.497512
26	-0.032178	-0.2229	0.412265
27	0.025029	0.1734	0.43153
28	-0.074575	-0.5167	0.30388
29	0.010861	0.0753	0.470164
30	0.0963	0.6672	0.253925
31	-0.083179	-0.5763	0.28356
32	0.027162	0.1882	0.425763
33	-0.03597	-0.2492	0.402132
34	-0.04113	-0.285	0.388451
35	-0.050812	-0.352	0.363175
36	-0.033543	-0.2324	0.40861
37	-0.115741	-0.8019	0.213287
38	-0.02666	-0.1847	0.42712
39	0.123055	0.8525	0.199072
40	0.055324	0.3833	0.351597
41	-0.022084	-0.153	0.439518
42	0.036813	0.255	0.399887
43	-0.04965	-0.344	0.36618
44	-0.108453	-0.7514	0.228045
45	-0.056357	-0.3905	0.348964
46	-0.020151	-0.1396	0.444776
47	0.075342	0.522	0.30204
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 & -0.348734 & -2.4161 & 0.009771 \tabularnewline
2 & -0.107302 & -0.7434 & 0.230429 \tabularnewline
3 & 0.490251 & 3.3966 & 0.00069 \tabularnewline
4 & 0.08151 & 0.5647 & 0.287448 \tabularnewline
5 & 0.052321 & 0.3625 & 0.359288 \tabularnewline
6 & 0.020856 & 0.1445 & 0.442858 \tabularnewline
7 & -0.240268 & -1.6646 & 0.051251 \tabularnewline
8 & -0.199155 & -1.3798 & 0.087023 \tabularnewline
9 & -0.169899 & -1.1771 & 0.12248 \tabularnewline
10 & -0.018754 & -0.1299 & 0.448581 \tabularnewline
11 & 0.02603 & 0.1803 & 0.428823 \tabularnewline
12 & 0.045827 & 0.3175 & 0.37612 \tabularnewline
13 & -0.086876 & -0.6019 & 0.275039 \tabularnewline
14 & -0.170672 & -1.1824 & 0.121426 \tabularnewline
15 & 0.079863 & 0.5533 & 0.291311 \tabularnewline
16 & 0.03104 & 0.215 & 0.41532 \tabularnewline
17 & -0.032701 & -0.2266 & 0.410865 \tabularnewline
18 & -0.072127 & -0.4997 & 0.309781 \tabularnewline
19 & -0.046032 & -0.3189 & 0.375585 \tabularnewline
20 & 0.118456 & 0.8207 & 0.207941 \tabularnewline
21 & -0.046789 & -0.3242 & 0.373612 \tabularnewline
22 & -0.135415 & -0.9382 & 0.176423 \tabularnewline
23 & 0.106822 & 0.7401 & 0.231427 \tabularnewline
24 & -0.076759 & -0.5318 & 0.298659 \tabularnewline
25 & 0.000905 & 0.0063 & 0.497512 \tabularnewline
26 & -0.032178 & -0.2229 & 0.412265 \tabularnewline
27 & 0.025029 & 0.1734 & 0.43153 \tabularnewline
28 & -0.074575 & -0.5167 & 0.30388 \tabularnewline
29 & 0.010861 & 0.0753 & 0.470164 \tabularnewline
30 & 0.0963 & 0.6672 & 0.253925 \tabularnewline
31 & -0.083179 & -0.5763 & 0.28356 \tabularnewline
32 & 0.027162 & 0.1882 & 0.425763 \tabularnewline
33 & -0.03597 & -0.2492 & 0.402132 \tabularnewline
34 & -0.04113 & -0.285 & 0.388451 \tabularnewline
35 & -0.050812 & -0.352 & 0.363175 \tabularnewline
36 & -0.033543 & -0.2324 & 0.40861 \tabularnewline
37 & -0.115741 & -0.8019 & 0.213287 \tabularnewline
38 & -0.02666 & -0.1847 & 0.42712 \tabularnewline
39 & 0.123055 & 0.8525 & 0.199072 \tabularnewline
40 & 0.055324 & 0.3833 & 0.351597 \tabularnewline
41 & -0.022084 & -0.153 & 0.439518 \tabularnewline
42 & 0.036813 & 0.255 & 0.399887 \tabularnewline
43 & -0.04965 & -0.344 & 0.36618 \tabularnewline
44 & -0.108453 & -0.7514 & 0.228045 \tabularnewline
45 & -0.056357 & -0.3905 & 0.348964 \tabularnewline
46 & -0.020151 & -0.1396 & 0.444776 \tabularnewline
47 & 0.075342 & 0.522 & 0.30204 \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=115142&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]-0.348734[/C][C]-2.4161[/C][C]0.009771[/C][/ROW]
[ROW][C]2[/C][C]-0.107302[/C][C]-0.7434[/C][C]0.230429[/C][/ROW]
[ROW][C]3[/C][C]0.490251[/C][C]3.3966[/C][C]0.00069[/C][/ROW]
[ROW][C]4[/C][C]0.08151[/C][C]0.5647[/C][C]0.287448[/C][/ROW]
[ROW][C]5[/C][C]0.052321[/C][C]0.3625[/C][C]0.359288[/C][/ROW]
[ROW][C]6[/C][C]0.020856[/C][C]0.1445[/C][C]0.442858[/C][/ROW]
[ROW][C]7[/C][C]-0.240268[/C][C]-1.6646[/C][C]0.051251[/C][/ROW]
[ROW][C]8[/C][C]-0.199155[/C][C]-1.3798[/C][C]0.087023[/C][/ROW]
[ROW][C]9[/C][C]-0.169899[/C][C]-1.1771[/C][C]0.12248[/C][/ROW]
[ROW][C]10[/C][C]-0.018754[/C][C]-0.1299[/C][C]0.448581[/C][/ROW]
[ROW][C]11[/C][C]0.02603[/C][C]0.1803[/C][C]0.428823[/C][/ROW]
[ROW][C]12[/C][C]0.045827[/C][C]0.3175[/C][C]0.37612[/C][/ROW]
[ROW][C]13[/C][C]-0.086876[/C][C]-0.6019[/C][C]0.275039[/C][/ROW]
[ROW][C]14[/C][C]-0.170672[/C][C]-1.1824[/C][C]0.121426[/C][/ROW]
[ROW][C]15[/C][C]0.079863[/C][C]0.5533[/C][C]0.291311[/C][/ROW]
[ROW][C]16[/C][C]0.03104[/C][C]0.215[/C][C]0.41532[/C][/ROW]
[ROW][C]17[/C][C]-0.032701[/C][C]-0.2266[/C][C]0.410865[/C][/ROW]
[ROW][C]18[/C][C]-0.072127[/C][C]-0.4997[/C][C]0.309781[/C][/ROW]
[ROW][C]19[/C][C]-0.046032[/C][C]-0.3189[/C][C]0.375585[/C][/ROW]
[ROW][C]20[/C][C]0.118456[/C][C]0.8207[/C][C]0.207941[/C][/ROW]
[ROW][C]21[/C][C]-0.046789[/C][C]-0.3242[/C][C]0.373612[/C][/ROW]
[ROW][C]22[/C][C]-0.135415[/C][C]-0.9382[/C][C]0.176423[/C][/ROW]
[ROW][C]23[/C][C]0.106822[/C][C]0.7401[/C][C]0.231427[/C][/ROW]
[ROW][C]24[/C][C]-0.076759[/C][C]-0.5318[/C][C]0.298659[/C][/ROW]
[ROW][C]25[/C][C]0.000905[/C][C]0.0063[/C][C]0.497512[/C][/ROW]
[ROW][C]26[/C][C]-0.032178[/C][C]-0.2229[/C][C]0.412265[/C][/ROW]
[ROW][C]27[/C][C]0.025029[/C][C]0.1734[/C][C]0.43153[/C][/ROW]
[ROW][C]28[/C][C]-0.074575[/C][C]-0.5167[/C][C]0.30388[/C][/ROW]
[ROW][C]29[/C][C]0.010861[/C][C]0.0753[/C][C]0.470164[/C][/ROW]
[ROW][C]30[/C][C]0.0963[/C][C]0.6672[/C][C]0.253925[/C][/ROW]
[ROW][C]31[/C][C]-0.083179[/C][C]-0.5763[/C][C]0.28356[/C][/ROW]
[ROW][C]32[/C][C]0.027162[/C][C]0.1882[/C][C]0.425763[/C][/ROW]
[ROW][C]33[/C][C]-0.03597[/C][C]-0.2492[/C][C]0.402132[/C][/ROW]
[ROW][C]34[/C][C]-0.04113[/C][C]-0.285[/C][C]0.388451[/C][/ROW]
[ROW][C]35[/C][C]-0.050812[/C][C]-0.352[/C][C]0.363175[/C][/ROW]
[ROW][C]36[/C][C]-0.033543[/C][C]-0.2324[/C][C]0.40861[/C][/ROW]
[ROW][C]37[/C][C]-0.115741[/C][C]-0.8019[/C][C]0.213287[/C][/ROW]
[ROW][C]38[/C][C]-0.02666[/C][C]-0.1847[/C][C]0.42712[/C][/ROW]
[ROW][C]39[/C][C]0.123055[/C][C]0.8525[/C][C]0.199072[/C][/ROW]
[ROW][C]40[/C][C]0.055324[/C][C]0.3833[/C][C]0.351597[/C][/ROW]
[ROW][C]41[/C][C]-0.022084[/C][C]-0.153[/C][C]0.439518[/C][/ROW]
[ROW][C]42[/C][C]0.036813[/C][C]0.255[/C][C]0.399887[/C][/ROW]
[ROW][C]43[/C][C]-0.04965[/C][C]-0.344[/C][C]0.36618[/C][/ROW]
[ROW][C]44[/C][C]-0.108453[/C][C]-0.7514[/C][C]0.228045[/C][/ROW]
[ROW][C]45[/C][C]-0.056357[/C][C]-0.3905[/C][C]0.348964[/C][/ROW]
[ROW][C]46[/C][C]-0.020151[/C][C]-0.1396[/C][C]0.444776[/C][/ROW]
[ROW][C]47[/C][C]0.075342[/C][C]0.522[/C][C]0.30204[/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=115142&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115142&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	-0.348734	-2.4161	0.009771
2	-0.107302	-0.7434	0.230429
3	0.490251	3.3966	0.00069
4	0.08151	0.5647	0.287448
5	0.052321	0.3625	0.359288
6	0.020856	0.1445	0.442858
7	-0.240268	-1.6646	0.051251
8	-0.199155	-1.3798	0.087023
9	-0.169899	-1.1771	0.12248
10	-0.018754	-0.1299	0.448581
11	0.02603	0.1803	0.428823
12	0.045827	0.3175	0.37612
13	-0.086876	-0.6019	0.275039
14	-0.170672	-1.1824	0.121426
15	0.079863	0.5533	0.291311
16	0.03104	0.215	0.41532
17	-0.032701	-0.2266	0.410865
18	-0.072127	-0.4997	0.309781
19	-0.046032	-0.3189	0.375585
20	0.118456	0.8207	0.207941
21	-0.046789	-0.3242	0.373612
22	-0.135415	-0.9382	0.176423
23	0.106822	0.7401	0.231427
24	-0.076759	-0.5318	0.298659
25	0.000905	0.0063	0.497512
26	-0.032178	-0.2229	0.412265
27	0.025029	0.1734	0.43153
28	-0.074575	-0.5167	0.30388
29	0.010861	0.0753	0.470164
30	0.0963	0.6672	0.253925
31	-0.083179	-0.5763	0.28356
32	0.027162	0.1882	0.425763
33	-0.03597	-0.2492	0.402132
34	-0.04113	-0.285	0.388451
35	-0.050812	-0.352	0.363175
36	-0.033543	-0.2324	0.40861
37	-0.115741	-0.8019	0.213287
38	-0.02666	-0.1847	0.42712
39	0.123055	0.8525	0.199072
40	0.055324	0.3833	0.351597
41	-0.022084	-0.153	0.439518
42	0.036813	0.255	0.399887
43	-0.04965	-0.344	0.36618
44	-0.108453	-0.7514	0.228045
45	-0.056357	-0.3905	0.348964
46	-0.020151	-0.1396	0.444776
47	0.075342	0.522	0.30204
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 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = ; 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 (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 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