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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 14 Mar 2016 18:02:38 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Mar/14/t1457978579e7mm9ywxxw4f4c9.htm/, Retrieved Mon, 29 Apr 2024 05:41:14 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294019, Retrieved Mon, 29 Apr 2024 05:41:14 +0000

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User-defined keywords

Estimated Impact

104

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

-     [Mean Plot] [] [2016-03-14 17:50:31] [588a76e56dbe7fb46b0fa630eb6cb6b1]
- RMPD    [(Partial) Autocorrelation Function] [] [2016-03-14 18:02:38] [383002b29a4d7fe40259202a4bc884b2] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294019&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294019&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294019&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.019086	-0.2082	0.417713
2	-0.019245	-0.2099	0.417037
3	-0.006998	-0.0763	0.469639
4	-0.007119	-0.0777	0.469113
5	-0.007278	-0.0794	0.468425
6	-0.007437	-0.0811	0.467736
7	-0.007596	-0.0829	0.467048
8	-0.007756	-0.0846	0.46636
9	-0.007067	-0.0771	0.469338
10	-0.007197	-0.0785	0.468775
11	-0.007356	-0.0802	0.468087
12	0.050362	0.5494	0.291885
13	-0.007675	-0.0837	0.46671
14	-0.007834	-0.0855	0.466022
15	-0.007455	-0.0813	0.46766
16	-0.007604	-0.083	0.467015
17	-0.007763	-0.0847	0.466327
18	-0.007922	-0.0864	0.465639
19	-0.008081	-0.0882	0.46495
20	-0.00824	-0.0899	0.464263
21	-0.008317	-0.0907	0.46393
22	-0.007817	-0.0853	0.466094
23	-0.007976	-0.087	0.465406
24	0.078022	0.8511	0.198207
25	-0.008303	-0.0906	0.463993
26	-0.008462	-0.0923	0.463305
27	-0.007974	-0.087	0.465413
28	-0.008068	-0.088	0.465009
29	-0.008227	-0.0897	0.464321
30	-0.008386	-0.0915	0.463633
31	-0.008545	-0.0932	0.462945
32	-0.008704	-0.0949	0.462257
33	-0.008227	-0.0897	0.46432
34	-0.008386	-0.0915	0.463632
35	-0.008545	-0.0932	0.462945
36	0.02524	0.2753	0.391769
37	-0.008863	-0.0967	0.461569
38	-0.009022	-0.0984	0.460882
39	-0.008981	-0.098	0.46106
40	-0.009151	-0.0998	0.460327
41	-0.00931	-0.1016	0.459639
42	-0.009469	-0.1033	0.458952
43	-0.009628	-0.105	0.458265
44	-0.009787	-0.1068	0.457578
45	-0.008194	-0.0894	0.464465
46	-0.008353	-0.0911	0.463777
47	-0.008512	-0.0929	0.463089
48	0.100792	1.0995	0.136882

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.019086 & -0.2082 & 0.417713 \tabularnewline
2 & -0.019245 & -0.2099 & 0.417037 \tabularnewline
3 & -0.006998 & -0.0763 & 0.469639 \tabularnewline
4 & -0.007119 & -0.0777 & 0.469113 \tabularnewline
5 & -0.007278 & -0.0794 & 0.468425 \tabularnewline
6 & -0.007437 & -0.0811 & 0.467736 \tabularnewline
7 & -0.007596 & -0.0829 & 0.467048 \tabularnewline
8 & -0.007756 & -0.0846 & 0.46636 \tabularnewline
9 & -0.007067 & -0.0771 & 0.469338 \tabularnewline
10 & -0.007197 & -0.0785 & 0.468775 \tabularnewline
11 & -0.007356 & -0.0802 & 0.468087 \tabularnewline
12 & 0.050362 & 0.5494 & 0.291885 \tabularnewline
13 & -0.007675 & -0.0837 & 0.46671 \tabularnewline
14 & -0.007834 & -0.0855 & 0.466022 \tabularnewline
15 & -0.007455 & -0.0813 & 0.46766 \tabularnewline
16 & -0.007604 & -0.083 & 0.467015 \tabularnewline
17 & -0.007763 & -0.0847 & 0.466327 \tabularnewline
18 & -0.007922 & -0.0864 & 0.465639 \tabularnewline
19 & -0.008081 & -0.0882 & 0.46495 \tabularnewline
20 & -0.00824 & -0.0899 & 0.464263 \tabularnewline
21 & -0.008317 & -0.0907 & 0.46393 \tabularnewline
22 & -0.007817 & -0.0853 & 0.466094 \tabularnewline
23 & -0.007976 & -0.087 & 0.465406 \tabularnewline
24 & 0.078022 & 0.8511 & 0.198207 \tabularnewline
25 & -0.008303 & -0.0906 & 0.463993 \tabularnewline
26 & -0.008462 & -0.0923 & 0.463305 \tabularnewline
27 & -0.007974 & -0.087 & 0.465413 \tabularnewline
28 & -0.008068 & -0.088 & 0.465009 \tabularnewline
29 & -0.008227 & -0.0897 & 0.464321 \tabularnewline
30 & -0.008386 & -0.0915 & 0.463633 \tabularnewline
31 & -0.008545 & -0.0932 & 0.462945 \tabularnewline
32 & -0.008704 & -0.0949 & 0.462257 \tabularnewline
33 & -0.008227 & -0.0897 & 0.46432 \tabularnewline
34 & -0.008386 & -0.0915 & 0.463632 \tabularnewline
35 & -0.008545 & -0.0932 & 0.462945 \tabularnewline
36 & 0.02524 & 0.2753 & 0.391769 \tabularnewline
37 & -0.008863 & -0.0967 & 0.461569 \tabularnewline
38 & -0.009022 & -0.0984 & 0.460882 \tabularnewline
39 & -0.008981 & -0.098 & 0.46106 \tabularnewline
40 & -0.009151 & -0.0998 & 0.460327 \tabularnewline
41 & -0.00931 & -0.1016 & 0.459639 \tabularnewline
42 & -0.009469 & -0.1033 & 0.458952 \tabularnewline
43 & -0.009628 & -0.105 & 0.458265 \tabularnewline
44 & -0.009787 & -0.1068 & 0.457578 \tabularnewline
45 & -0.008194 & -0.0894 & 0.464465 \tabularnewline
46 & -0.008353 & -0.0911 & 0.463777 \tabularnewline
47 & -0.008512 & -0.0929 & 0.463089 \tabularnewline
48 & 0.100792 & 1.0995 & 0.136882 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294019&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]-0.019086[/C][C]-0.2082[/C][C]0.417713[/C][/ROW]
[ROW][C]2[/C][C]-0.019245[/C][C]-0.2099[/C][C]0.417037[/C][/ROW]
[ROW][C]3[/C][C]-0.006998[/C][C]-0.0763[/C][C]0.469639[/C][/ROW]
[ROW][C]4[/C][C]-0.007119[/C][C]-0.0777[/C][C]0.469113[/C][/ROW]
[ROW][C]5[/C][C]-0.007278[/C][C]-0.0794[/C][C]0.468425[/C][/ROW]
[ROW][C]6[/C][C]-0.007437[/C][C]-0.0811[/C][C]0.467736[/C][/ROW]
[ROW][C]7[/C][C]-0.007596[/C][C]-0.0829[/C][C]0.467048[/C][/ROW]
[ROW][C]8[/C][C]-0.007756[/C][C]-0.0846[/C][C]0.46636[/C][/ROW]
[ROW][C]9[/C][C]-0.007067[/C][C]-0.0771[/C][C]0.469338[/C][/ROW]
[ROW][C]10[/C][C]-0.007197[/C][C]-0.0785[/C][C]0.468775[/C][/ROW]
[ROW][C]11[/C][C]-0.007356[/C][C]-0.0802[/C][C]0.468087[/C][/ROW]
[ROW][C]12[/C][C]0.050362[/C][C]0.5494[/C][C]0.291885[/C][/ROW]
[ROW][C]13[/C][C]-0.007675[/C][C]-0.0837[/C][C]0.46671[/C][/ROW]
[ROW][C]14[/C][C]-0.007834[/C][C]-0.0855[/C][C]0.466022[/C][/ROW]
[ROW][C]15[/C][C]-0.007455[/C][C]-0.0813[/C][C]0.46766[/C][/ROW]
[ROW][C]16[/C][C]-0.007604[/C][C]-0.083[/C][C]0.467015[/C][/ROW]
[ROW][C]17[/C][C]-0.007763[/C][C]-0.0847[/C][C]0.466327[/C][/ROW]
[ROW][C]18[/C][C]-0.007922[/C][C]-0.0864[/C][C]0.465639[/C][/ROW]
[ROW][C]19[/C][C]-0.008081[/C][C]-0.0882[/C][C]0.46495[/C][/ROW]
[ROW][C]20[/C][C]-0.00824[/C][C]-0.0899[/C][C]0.464263[/C][/ROW]
[ROW][C]21[/C][C]-0.008317[/C][C]-0.0907[/C][C]0.46393[/C][/ROW]
[ROW][C]22[/C][C]-0.007817[/C][C]-0.0853[/C][C]0.466094[/C][/ROW]
[ROW][C]23[/C][C]-0.007976[/C][C]-0.087[/C][C]0.465406[/C][/ROW]
[ROW][C]24[/C][C]0.078022[/C][C]0.8511[/C][C]0.198207[/C][/ROW]
[ROW][C]25[/C][C]-0.008303[/C][C]-0.0906[/C][C]0.463993[/C][/ROW]
[ROW][C]26[/C][C]-0.008462[/C][C]-0.0923[/C][C]0.463305[/C][/ROW]
[ROW][C]27[/C][C]-0.007974[/C][C]-0.087[/C][C]0.465413[/C][/ROW]
[ROW][C]28[/C][C]-0.008068[/C][C]-0.088[/C][C]0.465009[/C][/ROW]
[ROW][C]29[/C][C]-0.008227[/C][C]-0.0897[/C][C]0.464321[/C][/ROW]
[ROW][C]30[/C][C]-0.008386[/C][C]-0.0915[/C][C]0.463633[/C][/ROW]
[ROW][C]31[/C][C]-0.008545[/C][C]-0.0932[/C][C]0.462945[/C][/ROW]
[ROW][C]32[/C][C]-0.008704[/C][C]-0.0949[/C][C]0.462257[/C][/ROW]
[ROW][C]33[/C][C]-0.008227[/C][C]-0.0897[/C][C]0.46432[/C][/ROW]
[ROW][C]34[/C][C]-0.008386[/C][C]-0.0915[/C][C]0.463632[/C][/ROW]
[ROW][C]35[/C][C]-0.008545[/C][C]-0.0932[/C][C]0.462945[/C][/ROW]
[ROW][C]36[/C][C]0.02524[/C][C]0.2753[/C][C]0.391769[/C][/ROW]
[ROW][C]37[/C][C]-0.008863[/C][C]-0.0967[/C][C]0.461569[/C][/ROW]
[ROW][C]38[/C][C]-0.009022[/C][C]-0.0984[/C][C]0.460882[/C][/ROW]
[ROW][C]39[/C][C]-0.008981[/C][C]-0.098[/C][C]0.46106[/C][/ROW]
[ROW][C]40[/C][C]-0.009151[/C][C]-0.0998[/C][C]0.460327[/C][/ROW]
[ROW][C]41[/C][C]-0.00931[/C][C]-0.1016[/C][C]0.459639[/C][/ROW]
[ROW][C]42[/C][C]-0.009469[/C][C]-0.1033[/C][C]0.458952[/C][/ROW]
[ROW][C]43[/C][C]-0.009628[/C][C]-0.105[/C][C]0.458265[/C][/ROW]
[ROW][C]44[/C][C]-0.009787[/C][C]-0.1068[/C][C]0.457578[/C][/ROW]
[ROW][C]45[/C][C]-0.008194[/C][C]-0.0894[/C][C]0.464465[/C][/ROW]
[ROW][C]46[/C][C]-0.008353[/C][C]-0.0911[/C][C]0.463777[/C][/ROW]
[ROW][C]47[/C][C]-0.008512[/C][C]-0.0929[/C][C]0.463089[/C][/ROW]
[ROW][C]48[/C][C]0.100792[/C][C]1.0995[/C][C]0.136882[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294019&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294019&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	-0.019086	-0.2082	0.417713
2	-0.019245	-0.2099	0.417037
3	-0.006998	-0.0763	0.469639
4	-0.007119	-0.0777	0.469113
5	-0.007278	-0.0794	0.468425
6	-0.007437	-0.0811	0.467736
7	-0.007596	-0.0829	0.467048
8	-0.007756	-0.0846	0.46636
9	-0.007067	-0.0771	0.469338
10	-0.007197	-0.0785	0.468775
11	-0.007356	-0.0802	0.468087
12	0.050362	0.5494	0.291885
13	-0.007675	-0.0837	0.46671
14	-0.007834	-0.0855	0.466022
15	-0.007455	-0.0813	0.46766
16	-0.007604	-0.083	0.467015
17	-0.007763	-0.0847	0.466327
18	-0.007922	-0.0864	0.465639
19	-0.008081	-0.0882	0.46495
20	-0.00824	-0.0899	0.464263
21	-0.008317	-0.0907	0.46393
22	-0.007817	-0.0853	0.466094
23	-0.007976	-0.087	0.465406
24	0.078022	0.8511	0.198207
25	-0.008303	-0.0906	0.463993
26	-0.008462	-0.0923	0.463305
27	-0.007974	-0.087	0.465413
28	-0.008068	-0.088	0.465009
29	-0.008227	-0.0897	0.464321
30	-0.008386	-0.0915	0.463633
31	-0.008545	-0.0932	0.462945
32	-0.008704	-0.0949	0.462257
33	-0.008227	-0.0897	0.46432
34	-0.008386	-0.0915	0.463632
35	-0.008545	-0.0932	0.462945
36	0.02524	0.2753	0.391769
37	-0.008863	-0.0967	0.461569
38	-0.009022	-0.0984	0.460882
39	-0.008981	-0.098	0.46106
40	-0.009151	-0.0998	0.460327
41	-0.00931	-0.1016	0.459639
42	-0.009469	-0.1033	0.458952
43	-0.009628	-0.105	0.458265
44	-0.009787	-0.1068	0.457578
45	-0.008194	-0.0894	0.464465
46	-0.008353	-0.0911	0.463777
47	-0.008512	-0.0929	0.463089
48	0.100792	1.0995	0.136882

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.019086	-0.2082	0.417713
2	-0.019617	-0.214	0.41546
3	-0.007753	-0.0846	0.466372
4	-0.007791	-0.085	0.466205
5	-0.007866	-0.0858	0.465884
6	-0.00809	-0.0883	0.464911
7	-0.008321	-0.0908	0.463912
8	-0.008558	-0.0934	0.462888
9	-0.00795	-0.0867	0.465516
10	-0.008132	-0.0887	0.464731
11	-0.008344	-0.091	0.463813
12	0.049375	0.5386	0.29558
13	-0.006523	-0.0712	0.471698
14	-0.006705	-0.0731	0.470907
15	-0.007765	-0.0847	0.466319
16	-0.007983	-0.0871	0.465377
17	-0.008207	-0.0895	0.464408
18	-0.008422	-0.0919	0.463476
19	-0.008642	-0.0943	0.462527
20	-0.008865	-0.0967	0.461561
21	-0.009106	-0.0993	0.460519
22	-0.008719	-0.0951	0.462193
23	-0.008929	-0.0974	0.461285
24	0.074103	0.8084	0.210246
25	-0.00612	-0.0668	0.473444
26	-0.006267	-0.0684	0.472804
27	-0.007835	-0.0855	0.466014
28	-0.007988	-0.0871	0.465354
29	-0.008193	-0.0894	0.464469
30	-0.008378	-0.0914	0.463668
31	-0.008569	-0.0935	0.46284
32	-0.008765	-0.0956	0.461994
33	-0.008467	-0.0924	0.46328
34	-0.008834	-0.0964	0.461694
35	-0.009026	-0.0985	0.460865
36	0.015762	0.1719	0.431889
37	-0.00846	-0.0923	0.463311
38	-0.008644	-0.0943	0.462519
39	-0.009295	-0.1014	0.459704
40	-0.00953	-0.104	0.458688
41	-0.009741	-0.1063	0.457778
42	-0.009948	-0.1085	0.456884
43	-0.010159	-0.1108	0.455974
44	-0.010376	-0.1132	0.455037
45	-0.008937	-0.0975	0.461251
46	-0.009316	-0.1016	0.459614
47	-0.009484	-0.1035	0.458886
48	0.090925	0.9919	0.161637

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.019086 & -0.2082 & 0.417713 \tabularnewline
2 & -0.019617 & -0.214 & 0.41546 \tabularnewline
3 & -0.007753 & -0.0846 & 0.466372 \tabularnewline
4 & -0.007791 & -0.085 & 0.466205 \tabularnewline
5 & -0.007866 & -0.0858 & 0.465884 \tabularnewline
6 & -0.00809 & -0.0883 & 0.464911 \tabularnewline
7 & -0.008321 & -0.0908 & 0.463912 \tabularnewline
8 & -0.008558 & -0.0934 & 0.462888 \tabularnewline
9 & -0.00795 & -0.0867 & 0.465516 \tabularnewline
10 & -0.008132 & -0.0887 & 0.464731 \tabularnewline
11 & -0.008344 & -0.091 & 0.463813 \tabularnewline
12 & 0.049375 & 0.5386 & 0.29558 \tabularnewline
13 & -0.006523 & -0.0712 & 0.471698 \tabularnewline
14 & -0.006705 & -0.0731 & 0.470907 \tabularnewline
15 & -0.007765 & -0.0847 & 0.466319 \tabularnewline
16 & -0.007983 & -0.0871 & 0.465377 \tabularnewline
17 & -0.008207 & -0.0895 & 0.464408 \tabularnewline
18 & -0.008422 & -0.0919 & 0.463476 \tabularnewline
19 & -0.008642 & -0.0943 & 0.462527 \tabularnewline
20 & -0.008865 & -0.0967 & 0.461561 \tabularnewline
21 & -0.009106 & -0.0993 & 0.460519 \tabularnewline
22 & -0.008719 & -0.0951 & 0.462193 \tabularnewline
23 & -0.008929 & -0.0974 & 0.461285 \tabularnewline
24 & 0.074103 & 0.8084 & 0.210246 \tabularnewline
25 & -0.00612 & -0.0668 & 0.473444 \tabularnewline
26 & -0.006267 & -0.0684 & 0.472804 \tabularnewline
27 & -0.007835 & -0.0855 & 0.466014 \tabularnewline
28 & -0.007988 & -0.0871 & 0.465354 \tabularnewline
29 & -0.008193 & -0.0894 & 0.464469 \tabularnewline
30 & -0.008378 & -0.0914 & 0.463668 \tabularnewline
31 & -0.008569 & -0.0935 & 0.46284 \tabularnewline
32 & -0.008765 & -0.0956 & 0.461994 \tabularnewline
33 & -0.008467 & -0.0924 & 0.46328 \tabularnewline
34 & -0.008834 & -0.0964 & 0.461694 \tabularnewline
35 & -0.009026 & -0.0985 & 0.460865 \tabularnewline
36 & 0.015762 & 0.1719 & 0.431889 \tabularnewline
37 & -0.00846 & -0.0923 & 0.463311 \tabularnewline
38 & -0.008644 & -0.0943 & 0.462519 \tabularnewline
39 & -0.009295 & -0.1014 & 0.459704 \tabularnewline
40 & -0.00953 & -0.104 & 0.458688 \tabularnewline
41 & -0.009741 & -0.1063 & 0.457778 \tabularnewline
42 & -0.009948 & -0.1085 & 0.456884 \tabularnewline
43 & -0.010159 & -0.1108 & 0.455974 \tabularnewline
44 & -0.010376 & -0.1132 & 0.455037 \tabularnewline
45 & -0.008937 & -0.0975 & 0.461251 \tabularnewline
46 & -0.009316 & -0.1016 & 0.459614 \tabularnewline
47 & -0.009484 & -0.1035 & 0.458886 \tabularnewline
48 & 0.090925 & 0.9919 & 0.161637 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294019&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]-0.019086[/C][C]-0.2082[/C][C]0.417713[/C][/ROW]
[ROW][C]2[/C][C]-0.019617[/C][C]-0.214[/C][C]0.41546[/C][/ROW]
[ROW][C]3[/C][C]-0.007753[/C][C]-0.0846[/C][C]0.466372[/C][/ROW]
[ROW][C]4[/C][C]-0.007791[/C][C]-0.085[/C][C]0.466205[/C][/ROW]
[ROW][C]5[/C][C]-0.007866[/C][C]-0.0858[/C][C]0.465884[/C][/ROW]
[ROW][C]6[/C][C]-0.00809[/C][C]-0.0883[/C][C]0.464911[/C][/ROW]
[ROW][C]7[/C][C]-0.008321[/C][C]-0.0908[/C][C]0.463912[/C][/ROW]
[ROW][C]8[/C][C]-0.008558[/C][C]-0.0934[/C][C]0.462888[/C][/ROW]
[ROW][C]9[/C][C]-0.00795[/C][C]-0.0867[/C][C]0.465516[/C][/ROW]
[ROW][C]10[/C][C]-0.008132[/C][C]-0.0887[/C][C]0.464731[/C][/ROW]
[ROW][C]11[/C][C]-0.008344[/C][C]-0.091[/C][C]0.463813[/C][/ROW]
[ROW][C]12[/C][C]0.049375[/C][C]0.5386[/C][C]0.29558[/C][/ROW]
[ROW][C]13[/C][C]-0.006523[/C][C]-0.0712[/C][C]0.471698[/C][/ROW]
[ROW][C]14[/C][C]-0.006705[/C][C]-0.0731[/C][C]0.470907[/C][/ROW]
[ROW][C]15[/C][C]-0.007765[/C][C]-0.0847[/C][C]0.466319[/C][/ROW]
[ROW][C]16[/C][C]-0.007983[/C][C]-0.0871[/C][C]0.465377[/C][/ROW]
[ROW][C]17[/C][C]-0.008207[/C][C]-0.0895[/C][C]0.464408[/C][/ROW]
[ROW][C]18[/C][C]-0.008422[/C][C]-0.0919[/C][C]0.463476[/C][/ROW]
[ROW][C]19[/C][C]-0.008642[/C][C]-0.0943[/C][C]0.462527[/C][/ROW]
[ROW][C]20[/C][C]-0.008865[/C][C]-0.0967[/C][C]0.461561[/C][/ROW]
[ROW][C]21[/C][C]-0.009106[/C][C]-0.0993[/C][C]0.460519[/C][/ROW]
[ROW][C]22[/C][C]-0.008719[/C][C]-0.0951[/C][C]0.462193[/C][/ROW]
[ROW][C]23[/C][C]-0.008929[/C][C]-0.0974[/C][C]0.461285[/C][/ROW]
[ROW][C]24[/C][C]0.074103[/C][C]0.8084[/C][C]0.210246[/C][/ROW]
[ROW][C]25[/C][C]-0.00612[/C][C]-0.0668[/C][C]0.473444[/C][/ROW]
[ROW][C]26[/C][C]-0.006267[/C][C]-0.0684[/C][C]0.472804[/C][/ROW]
[ROW][C]27[/C][C]-0.007835[/C][C]-0.0855[/C][C]0.466014[/C][/ROW]
[ROW][C]28[/C][C]-0.007988[/C][C]-0.0871[/C][C]0.465354[/C][/ROW]
[ROW][C]29[/C][C]-0.008193[/C][C]-0.0894[/C][C]0.464469[/C][/ROW]
[ROW][C]30[/C][C]-0.008378[/C][C]-0.0914[/C][C]0.463668[/C][/ROW]
[ROW][C]31[/C][C]-0.008569[/C][C]-0.0935[/C][C]0.46284[/C][/ROW]
[ROW][C]32[/C][C]-0.008765[/C][C]-0.0956[/C][C]0.461994[/C][/ROW]
[ROW][C]33[/C][C]-0.008467[/C][C]-0.0924[/C][C]0.46328[/C][/ROW]
[ROW][C]34[/C][C]-0.008834[/C][C]-0.0964[/C][C]0.461694[/C][/ROW]
[ROW][C]35[/C][C]-0.009026[/C][C]-0.0985[/C][C]0.460865[/C][/ROW]
[ROW][C]36[/C][C]0.015762[/C][C]0.1719[/C][C]0.431889[/C][/ROW]
[ROW][C]37[/C][C]-0.00846[/C][C]-0.0923[/C][C]0.463311[/C][/ROW]
[ROW][C]38[/C][C]-0.008644[/C][C]-0.0943[/C][C]0.462519[/C][/ROW]
[ROW][C]39[/C][C]-0.009295[/C][C]-0.1014[/C][C]0.459704[/C][/ROW]
[ROW][C]40[/C][C]-0.00953[/C][C]-0.104[/C][C]0.458688[/C][/ROW]
[ROW][C]41[/C][C]-0.009741[/C][C]-0.1063[/C][C]0.457778[/C][/ROW]
[ROW][C]42[/C][C]-0.009948[/C][C]-0.1085[/C][C]0.456884[/C][/ROW]
[ROW][C]43[/C][C]-0.010159[/C][C]-0.1108[/C][C]0.455974[/C][/ROW]
[ROW][C]44[/C][C]-0.010376[/C][C]-0.1132[/C][C]0.455037[/C][/ROW]
[ROW][C]45[/C][C]-0.008937[/C][C]-0.0975[/C][C]0.461251[/C][/ROW]
[ROW][C]46[/C][C]-0.009316[/C][C]-0.1016[/C][C]0.459614[/C][/ROW]
[ROW][C]47[/C][C]-0.009484[/C][C]-0.1035[/C][C]0.458886[/C][/ROW]
[ROW][C]48[/C][C]0.090925[/C][C]0.9919[/C][C]0.161637[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294019&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294019&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	-0.019086	-0.2082	0.417713
2	-0.019617	-0.214	0.41546
3	-0.007753	-0.0846	0.466372
4	-0.007791	-0.085	0.466205
5	-0.007866	-0.0858	0.465884
6	-0.00809	-0.0883	0.464911
7	-0.008321	-0.0908	0.463912
8	-0.008558	-0.0934	0.462888
9	-0.00795	-0.0867	0.465516
10	-0.008132	-0.0887	0.464731
11	-0.008344	-0.091	0.463813
12	0.049375	0.5386	0.29558
13	-0.006523	-0.0712	0.471698
14	-0.006705	-0.0731	0.470907
15	-0.007765	-0.0847	0.466319
16	-0.007983	-0.0871	0.465377
17	-0.008207	-0.0895	0.464408
18	-0.008422	-0.0919	0.463476
19	-0.008642	-0.0943	0.462527
20	-0.008865	-0.0967	0.461561
21	-0.009106	-0.0993	0.460519
22	-0.008719	-0.0951	0.462193
23	-0.008929	-0.0974	0.461285
24	0.074103	0.8084	0.210246
25	-0.00612	-0.0668	0.473444
26	-0.006267	-0.0684	0.472804
27	-0.007835	-0.0855	0.466014
28	-0.007988	-0.0871	0.465354
29	-0.008193	-0.0894	0.464469
30	-0.008378	-0.0914	0.463668
31	-0.008569	-0.0935	0.46284
32	-0.008765	-0.0956	0.461994
33	-0.008467	-0.0924	0.46328
34	-0.008834	-0.0964	0.461694
35	-0.009026	-0.0985	0.460865
36	0.015762	0.1719	0.431889
37	-0.00846	-0.0923	0.463311
38	-0.008644	-0.0943	0.462519
39	-0.009295	-0.1014	0.459704
40	-0.00953	-0.104	0.458688
41	-0.009741	-0.1063	0.457778
42	-0.009948	-0.1085	0.456884
43	-0.010159	-0.1108	0.455974
44	-0.010376	-0.1132	0.455037
45	-0.008937	-0.0975	0.461251
46	-0.009316	-0.1016	0.459614
47	-0.009484	-0.1035	0.458886
48	0.090925	0.9919	0.161637

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; 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 (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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