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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 05 Dec 2011 14:25:28 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/05/t1323113183vd6yes70gq7isx3.htm/, Retrieved Fri, 03 May 2024 11:24:39 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151206, Retrieved Fri, 03 May 2024 11:24:39 +0000

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User-defined keywords

Estimated Impact

140

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]
- R PD          [(Partial) Autocorrelation Function] [WS9 3.1 ACF d=0, D=0] [2010-12-07 10:00:49] [afe9379cca749d06b3d6872e02cc47ed]
- R  D            [(Partial) Autocorrelation Function] [ws9-2] [2011-12-05 18:26:48] [f7a862281046b7153543b12c78921b36]
-   P                 [(Partial) Autocorrelation Function] [ws9-2] [2011-12-05 19:25:28] [47995d3a8fac585eeb070a274b466f8c] [Current]
-  MP                   [(Partial) Autocorrelation Function] [paper2-1] [2011-12-21 20:47:25] [f7a862281046b7153543b12c78921b36] 

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Dataseries X:

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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	2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151206&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151206&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151206&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	'Gertrude Mary Cox' @ cox.wessa.net

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.096023	-0.7438	0.229953
2	0.236349	1.8308	0.036052
3	0.189806	1.4702	0.073362
4	-0.144342	-1.1181	0.133997
5	0.247965	1.9207	0.029761
6	-0.363555	-2.8161	0.003285
7	0.059736	0.4627	0.322621
8	0.068085	0.5274	0.299935
9	0.001369	0.0106	0.495787
10	0.200454	1.5527	0.062876
11	-0.03448	-0.2671	0.39516
12	0.561577	4.35	2.7e-05
13	-0.057405	-0.4447	0.329084
14	0.093672	0.7256	0.23546
15	0.068235	0.5285	0.299534
16	-0.18515	-1.4342	0.078359
17	0.192378	1.4902	0.070711
18	-0.37925	-2.9377	0.002343
19	0.001634	0.0127	0.494972
20	0.062478	0.484	0.31509
21	-0.134479	-1.0417	0.150872
22	0.119045	0.9221	0.180081
23	-0.077934	-0.6037	0.274168
24	0.318083	2.4639	0.008314
25	-0.059086	-0.4577	0.324418
26	-0.025583	-0.1982	0.421792
27	0.001777	0.0138	0.494533
28	-0.181424	-1.4053	0.082544
29	0.115212	0.8924	0.187864
30	-0.346902	-2.6871	0.004656
31	-0.070421	-0.5455	0.293723
32	0.026949	0.2087	0.417678
33	-0.180085	-1.3949	0.084089
34	0.088676	0.6869	0.247401
35	-0.112851	-0.8741	0.192765
36	0.129293	1.0015	0.160304
37	-0.020889	-0.1618	0.436001
38	-0.081877	-0.6342	0.264175
39	-0.006676	-0.0517	0.479466
40	-0.128485	-0.9952	0.161808
41	0.022597	0.175	0.430822
42	-0.238508	-1.8475	0.034805
43	-0.026215	-0.2031	0.419888
44	0.01167	0.0904	0.464136
45	-0.142236	-1.1018	0.137484
46	0.084015	0.6508	0.258838
47	-0.123562	-0.9571	0.171177
48	0.03083	0.2388	0.406034

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.096023 & -0.7438 & 0.229953 \tabularnewline
2 & 0.236349 & 1.8308 & 0.036052 \tabularnewline
3 & 0.189806 & 1.4702 & 0.073362 \tabularnewline
4 & -0.144342 & -1.1181 & 0.133997 \tabularnewline
5 & 0.247965 & 1.9207 & 0.029761 \tabularnewline
6 & -0.363555 & -2.8161 & 0.003285 \tabularnewline
7 & 0.059736 & 0.4627 & 0.322621 \tabularnewline
8 & 0.068085 & 0.5274 & 0.299935 \tabularnewline
9 & 0.001369 & 0.0106 & 0.495787 \tabularnewline
10 & 0.200454 & 1.5527 & 0.062876 \tabularnewline
11 & -0.03448 & -0.2671 & 0.39516 \tabularnewline
12 & 0.561577 & 4.35 & 2.7e-05 \tabularnewline
13 & -0.057405 & -0.4447 & 0.329084 \tabularnewline
14 & 0.093672 & 0.7256 & 0.23546 \tabularnewline
15 & 0.068235 & 0.5285 & 0.299534 \tabularnewline
16 & -0.18515 & -1.4342 & 0.078359 \tabularnewline
17 & 0.192378 & 1.4902 & 0.070711 \tabularnewline
18 & -0.37925 & -2.9377 & 0.002343 \tabularnewline
19 & 0.001634 & 0.0127 & 0.494972 \tabularnewline
20 & 0.062478 & 0.484 & 0.31509 \tabularnewline
21 & -0.134479 & -1.0417 & 0.150872 \tabularnewline
22 & 0.119045 & 0.9221 & 0.180081 \tabularnewline
23 & -0.077934 & -0.6037 & 0.274168 \tabularnewline
24 & 0.318083 & 2.4639 & 0.008314 \tabularnewline
25 & -0.059086 & -0.4577 & 0.324418 \tabularnewline
26 & -0.025583 & -0.1982 & 0.421792 \tabularnewline
27 & 0.001777 & 0.0138 & 0.494533 \tabularnewline
28 & -0.181424 & -1.4053 & 0.082544 \tabularnewline
29 & 0.115212 & 0.8924 & 0.187864 \tabularnewline
30 & -0.346902 & -2.6871 & 0.004656 \tabularnewline
31 & -0.070421 & -0.5455 & 0.293723 \tabularnewline
32 & 0.026949 & 0.2087 & 0.417678 \tabularnewline
33 & -0.180085 & -1.3949 & 0.084089 \tabularnewline
34 & 0.088676 & 0.6869 & 0.247401 \tabularnewline
35 & -0.112851 & -0.8741 & 0.192765 \tabularnewline
36 & 0.129293 & 1.0015 & 0.160304 \tabularnewline
37 & -0.020889 & -0.1618 & 0.436001 \tabularnewline
38 & -0.081877 & -0.6342 & 0.264175 \tabularnewline
39 & -0.006676 & -0.0517 & 0.479466 \tabularnewline
40 & -0.128485 & -0.9952 & 0.161808 \tabularnewline
41 & 0.022597 & 0.175 & 0.430822 \tabularnewline
42 & -0.238508 & -1.8475 & 0.034805 \tabularnewline
43 & -0.026215 & -0.2031 & 0.419888 \tabularnewline
44 & 0.01167 & 0.0904 & 0.464136 \tabularnewline
45 & -0.142236 & -1.1018 & 0.137484 \tabularnewline
46 & 0.084015 & 0.6508 & 0.258838 \tabularnewline
47 & -0.123562 & -0.9571 & 0.171177 \tabularnewline
48 & 0.03083 & 0.2388 & 0.406034 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151206&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]-0.096023[/C][C]-0.7438[/C][C]0.229953[/C][/ROW]
[ROW][C]2[/C][C]0.236349[/C][C]1.8308[/C][C]0.036052[/C][/ROW]
[ROW][C]3[/C][C]0.189806[/C][C]1.4702[/C][C]0.073362[/C][/ROW]
[ROW][C]4[/C][C]-0.144342[/C][C]-1.1181[/C][C]0.133997[/C][/ROW]
[ROW][C]5[/C][C]0.247965[/C][C]1.9207[/C][C]0.029761[/C][/ROW]
[ROW][C]6[/C][C]-0.363555[/C][C]-2.8161[/C][C]0.003285[/C][/ROW]
[ROW][C]7[/C][C]0.059736[/C][C]0.4627[/C][C]0.322621[/C][/ROW]
[ROW][C]8[/C][C]0.068085[/C][C]0.5274[/C][C]0.299935[/C][/ROW]
[ROW][C]9[/C][C]0.001369[/C][C]0.0106[/C][C]0.495787[/C][/ROW]
[ROW][C]10[/C][C]0.200454[/C][C]1.5527[/C][C]0.062876[/C][/ROW]
[ROW][C]11[/C][C]-0.03448[/C][C]-0.2671[/C][C]0.39516[/C][/ROW]
[ROW][C]12[/C][C]0.561577[/C][C]4.35[/C][C]2.7e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.057405[/C][C]-0.4447[/C][C]0.329084[/C][/ROW]
[ROW][C]14[/C][C]0.093672[/C][C]0.7256[/C][C]0.23546[/C][/ROW]
[ROW][C]15[/C][C]0.068235[/C][C]0.5285[/C][C]0.299534[/C][/ROW]
[ROW][C]16[/C][C]-0.18515[/C][C]-1.4342[/C][C]0.078359[/C][/ROW]
[ROW][C]17[/C][C]0.192378[/C][C]1.4902[/C][C]0.070711[/C][/ROW]
[ROW][C]18[/C][C]-0.37925[/C][C]-2.9377[/C][C]0.002343[/C][/ROW]
[ROW][C]19[/C][C]0.001634[/C][C]0.0127[/C][C]0.494972[/C][/ROW]
[ROW][C]20[/C][C]0.062478[/C][C]0.484[/C][C]0.31509[/C][/ROW]
[ROW][C]21[/C][C]-0.134479[/C][C]-1.0417[/C][C]0.150872[/C][/ROW]
[ROW][C]22[/C][C]0.119045[/C][C]0.9221[/C][C]0.180081[/C][/ROW]
[ROW][C]23[/C][C]-0.077934[/C][C]-0.6037[/C][C]0.274168[/C][/ROW]
[ROW][C]24[/C][C]0.318083[/C][C]2.4639[/C][C]0.008314[/C][/ROW]
[ROW][C]25[/C][C]-0.059086[/C][C]-0.4577[/C][C]0.324418[/C][/ROW]
[ROW][C]26[/C][C]-0.025583[/C][C]-0.1982[/C][C]0.421792[/C][/ROW]
[ROW][C]27[/C][C]0.001777[/C][C]0.0138[/C][C]0.494533[/C][/ROW]
[ROW][C]28[/C][C]-0.181424[/C][C]-1.4053[/C][C]0.082544[/C][/ROW]
[ROW][C]29[/C][C]0.115212[/C][C]0.8924[/C][C]0.187864[/C][/ROW]
[ROW][C]30[/C][C]-0.346902[/C][C]-2.6871[/C][C]0.004656[/C][/ROW]
[ROW][C]31[/C][C]-0.070421[/C][C]-0.5455[/C][C]0.293723[/C][/ROW]
[ROW][C]32[/C][C]0.026949[/C][C]0.2087[/C][C]0.417678[/C][/ROW]
[ROW][C]33[/C][C]-0.180085[/C][C]-1.3949[/C][C]0.084089[/C][/ROW]
[ROW][C]34[/C][C]0.088676[/C][C]0.6869[/C][C]0.247401[/C][/ROW]
[ROW][C]35[/C][C]-0.112851[/C][C]-0.8741[/C][C]0.192765[/C][/ROW]
[ROW][C]36[/C][C]0.129293[/C][C]1.0015[/C][C]0.160304[/C][/ROW]
[ROW][C]37[/C][C]-0.020889[/C][C]-0.1618[/C][C]0.436001[/C][/ROW]
[ROW][C]38[/C][C]-0.081877[/C][C]-0.6342[/C][C]0.264175[/C][/ROW]
[ROW][C]39[/C][C]-0.006676[/C][C]-0.0517[/C][C]0.479466[/C][/ROW]
[ROW][C]40[/C][C]-0.128485[/C][C]-0.9952[/C][C]0.161808[/C][/ROW]
[ROW][C]41[/C][C]0.022597[/C][C]0.175[/C][C]0.430822[/C][/ROW]
[ROW][C]42[/C][C]-0.238508[/C][C]-1.8475[/C][C]0.034805[/C][/ROW]
[ROW][C]43[/C][C]-0.026215[/C][C]-0.2031[/C][C]0.419888[/C][/ROW]
[ROW][C]44[/C][C]0.01167[/C][C]0.0904[/C][C]0.464136[/C][/ROW]
[ROW][C]45[/C][C]-0.142236[/C][C]-1.1018[/C][C]0.137484[/C][/ROW]
[ROW][C]46[/C][C]0.084015[/C][C]0.6508[/C][C]0.258838[/C][/ROW]
[ROW][C]47[/C][C]-0.123562[/C][C]-0.9571[/C][C]0.171177[/C][/ROW]
[ROW][C]48[/C][C]0.03083[/C][C]0.2388[/C][C]0.406034[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151206&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151206&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	-0.096023	-0.7438	0.229953
2	0.236349	1.8308	0.036052
3	0.189806	1.4702	0.073362
4	-0.144342	-1.1181	0.133997
5	0.247965	1.9207	0.029761
6	-0.363555	-2.8161	0.003285
7	0.059736	0.4627	0.322621
8	0.068085	0.5274	0.299935
9	0.001369	0.0106	0.495787
10	0.200454	1.5527	0.062876
11	-0.03448	-0.2671	0.39516
12	0.561577	4.35	2.7e-05
13	-0.057405	-0.4447	0.329084
14	0.093672	0.7256	0.23546
15	0.068235	0.5285	0.299534
16	-0.18515	-1.4342	0.078359
17	0.192378	1.4902	0.070711
18	-0.37925	-2.9377	0.002343
19	0.001634	0.0127	0.494972
20	0.062478	0.484	0.31509
21	-0.134479	-1.0417	0.150872
22	0.119045	0.9221	0.180081
23	-0.077934	-0.6037	0.274168
24	0.318083	2.4639	0.008314
25	-0.059086	-0.4577	0.324418
26	-0.025583	-0.1982	0.421792
27	0.001777	0.0138	0.494533
28	-0.181424	-1.4053	0.082544
29	0.115212	0.8924	0.187864
30	-0.346902	-2.6871	0.004656
31	-0.070421	-0.5455	0.293723
32	0.026949	0.2087	0.417678
33	-0.180085	-1.3949	0.084089
34	0.088676	0.6869	0.247401
35	-0.112851	-0.8741	0.192765
36	0.129293	1.0015	0.160304
37	-0.020889	-0.1618	0.436001
38	-0.081877	-0.6342	0.264175
39	-0.006676	-0.0517	0.479466
40	-0.128485	-0.9952	0.161808
41	0.022597	0.175	0.430822
42	-0.238508	-1.8475	0.034805
43	-0.026215	-0.2031	0.419888
44	0.01167	0.0904	0.464136
45	-0.142236	-1.1018	0.137484
46	0.084015	0.6508	0.258838
47	-0.123562	-0.9571	0.171177
48	0.03083	0.2388	0.406034

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.096023	-0.7438	0.229953
2	0.229242	1.7757	0.040427
3	0.244282	1.8922	0.031646
4	-0.175216	-1.3572	0.089897
5	0.129771	1.0052	0.159417
6	-0.34885	-2.7022	0.004472
7	-0.009902	-0.0767	0.46956
8	0.180912	1.4013	0.083132
9	0.258916	2.0056	0.02471
10	0.070226	0.544	0.294239
11	-0.004979	-0.0386	0.484683
12	0.49259	3.8156	0.000162
13	-0.139959	-1.0841	0.141326
14	-0.142531	-1.104	0.136992
15	-0.153762	-1.191	0.119165
16	-0.027311	-0.2116	0.416586
17	0.022301	0.1727	0.431717
18	-0.025194	-0.1952	0.422966
19	-0.033673	-0.2608	0.39756
20	-0.062542	-0.4844	0.314916
21	-0.058499	-0.4531	0.326044
22	-0.171676	-1.3298	0.09431
23	0.027722	0.2147	0.415353
24	0.139089	1.0774	0.142811
25	-0.060893	-0.4717	0.319434
26	-0.041993	-0.3253	0.373051
27	-0.030587	-0.2369	0.40676
28	-0.066478	-0.5149	0.304244
29	-0.016513	-0.1279	0.449326
30	0.054129	0.4193	0.338255
31	-0.114912	-0.8901	0.188483
32	-0.058445	-0.4527	0.326194
33	0.049371	0.3824	0.351749
34	-0.010338	-0.0801	0.468222
35	-0.02549	-0.1974	0.422075
36	-0.090609	-0.7019	0.242742
37	-0.069971	-0.542	0.294916
38	0.054657	0.4234	0.336769
39	0.102455	0.7936	0.215274
40	-0.028609	-0.2216	0.412687
41	-0.096002	-0.7436	0.230001
42	0.016852	0.1305	0.448289
43	0.057551	0.4458	0.328677
44	0.045456	0.3521	0.362998
45	-0.010275	-0.0796	0.468413
46	-0.05375	-0.4163	0.339322
47	-0.090535	-0.7013	0.24292
48	-0.137457	-1.0647	0.145631

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.096023 & -0.7438 & 0.229953 \tabularnewline
2 & 0.229242 & 1.7757 & 0.040427 \tabularnewline
3 & 0.244282 & 1.8922 & 0.031646 \tabularnewline
4 & -0.175216 & -1.3572 & 0.089897 \tabularnewline
5 & 0.129771 & 1.0052 & 0.159417 \tabularnewline
6 & -0.34885 & -2.7022 & 0.004472 \tabularnewline
7 & -0.009902 & -0.0767 & 0.46956 \tabularnewline
8 & 0.180912 & 1.4013 & 0.083132 \tabularnewline
9 & 0.258916 & 2.0056 & 0.02471 \tabularnewline
10 & 0.070226 & 0.544 & 0.294239 \tabularnewline
11 & -0.004979 & -0.0386 & 0.484683 \tabularnewline
12 & 0.49259 & 3.8156 & 0.000162 \tabularnewline
13 & -0.139959 & -1.0841 & 0.141326 \tabularnewline
14 & -0.142531 & -1.104 & 0.136992 \tabularnewline
15 & -0.153762 & -1.191 & 0.119165 \tabularnewline
16 & -0.027311 & -0.2116 & 0.416586 \tabularnewline
17 & 0.022301 & 0.1727 & 0.431717 \tabularnewline
18 & -0.025194 & -0.1952 & 0.422966 \tabularnewline
19 & -0.033673 & -0.2608 & 0.39756 \tabularnewline
20 & -0.062542 & -0.4844 & 0.314916 \tabularnewline
21 & -0.058499 & -0.4531 & 0.326044 \tabularnewline
22 & -0.171676 & -1.3298 & 0.09431 \tabularnewline
23 & 0.027722 & 0.2147 & 0.415353 \tabularnewline
24 & 0.139089 & 1.0774 & 0.142811 \tabularnewline
25 & -0.060893 & -0.4717 & 0.319434 \tabularnewline
26 & -0.041993 & -0.3253 & 0.373051 \tabularnewline
27 & -0.030587 & -0.2369 & 0.40676 \tabularnewline
28 & -0.066478 & -0.5149 & 0.304244 \tabularnewline
29 & -0.016513 & -0.1279 & 0.449326 \tabularnewline
30 & 0.054129 & 0.4193 & 0.338255 \tabularnewline
31 & -0.114912 & -0.8901 & 0.188483 \tabularnewline
32 & -0.058445 & -0.4527 & 0.326194 \tabularnewline
33 & 0.049371 & 0.3824 & 0.351749 \tabularnewline
34 & -0.010338 & -0.0801 & 0.468222 \tabularnewline
35 & -0.02549 & -0.1974 & 0.422075 \tabularnewline
36 & -0.090609 & -0.7019 & 0.242742 \tabularnewline
37 & -0.069971 & -0.542 & 0.294916 \tabularnewline
38 & 0.054657 & 0.4234 & 0.336769 \tabularnewline
39 & 0.102455 & 0.7936 & 0.215274 \tabularnewline
40 & -0.028609 & -0.2216 & 0.412687 \tabularnewline
41 & -0.096002 & -0.7436 & 0.230001 \tabularnewline
42 & 0.016852 & 0.1305 & 0.448289 \tabularnewline
43 & 0.057551 & 0.4458 & 0.328677 \tabularnewline
44 & 0.045456 & 0.3521 & 0.362998 \tabularnewline
45 & -0.010275 & -0.0796 & 0.468413 \tabularnewline
46 & -0.05375 & -0.4163 & 0.339322 \tabularnewline
47 & -0.090535 & -0.7013 & 0.24292 \tabularnewline
48 & -0.137457 & -1.0647 & 0.145631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151206&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]-0.096023[/C][C]-0.7438[/C][C]0.229953[/C][/ROW]
[ROW][C]2[/C][C]0.229242[/C][C]1.7757[/C][C]0.040427[/C][/ROW]
[ROW][C]3[/C][C]0.244282[/C][C]1.8922[/C][C]0.031646[/C][/ROW]
[ROW][C]4[/C][C]-0.175216[/C][C]-1.3572[/C][C]0.089897[/C][/ROW]
[ROW][C]5[/C][C]0.129771[/C][C]1.0052[/C][C]0.159417[/C][/ROW]
[ROW][C]6[/C][C]-0.34885[/C][C]-2.7022[/C][C]0.004472[/C][/ROW]
[ROW][C]7[/C][C]-0.009902[/C][C]-0.0767[/C][C]0.46956[/C][/ROW]
[ROW][C]8[/C][C]0.180912[/C][C]1.4013[/C][C]0.083132[/C][/ROW]
[ROW][C]9[/C][C]0.258916[/C][C]2.0056[/C][C]0.02471[/C][/ROW]
[ROW][C]10[/C][C]0.070226[/C][C]0.544[/C][C]0.294239[/C][/ROW]
[ROW][C]11[/C][C]-0.004979[/C][C]-0.0386[/C][C]0.484683[/C][/ROW]
[ROW][C]12[/C][C]0.49259[/C][C]3.8156[/C][C]0.000162[/C][/ROW]
[ROW][C]13[/C][C]-0.139959[/C][C]-1.0841[/C][C]0.141326[/C][/ROW]
[ROW][C]14[/C][C]-0.142531[/C][C]-1.104[/C][C]0.136992[/C][/ROW]
[ROW][C]15[/C][C]-0.153762[/C][C]-1.191[/C][C]0.119165[/C][/ROW]
[ROW][C]16[/C][C]-0.027311[/C][C]-0.2116[/C][C]0.416586[/C][/ROW]
[ROW][C]17[/C][C]0.022301[/C][C]0.1727[/C][C]0.431717[/C][/ROW]
[ROW][C]18[/C][C]-0.025194[/C][C]-0.1952[/C][C]0.422966[/C][/ROW]
[ROW][C]19[/C][C]-0.033673[/C][C]-0.2608[/C][C]0.39756[/C][/ROW]
[ROW][C]20[/C][C]-0.062542[/C][C]-0.4844[/C][C]0.314916[/C][/ROW]
[ROW][C]21[/C][C]-0.058499[/C][C]-0.4531[/C][C]0.326044[/C][/ROW]
[ROW][C]22[/C][C]-0.171676[/C][C]-1.3298[/C][C]0.09431[/C][/ROW]
[ROW][C]23[/C][C]0.027722[/C][C]0.2147[/C][C]0.415353[/C][/ROW]
[ROW][C]24[/C][C]0.139089[/C][C]1.0774[/C][C]0.142811[/C][/ROW]
[ROW][C]25[/C][C]-0.060893[/C][C]-0.4717[/C][C]0.319434[/C][/ROW]
[ROW][C]26[/C][C]-0.041993[/C][C]-0.3253[/C][C]0.373051[/C][/ROW]
[ROW][C]27[/C][C]-0.030587[/C][C]-0.2369[/C][C]0.40676[/C][/ROW]
[ROW][C]28[/C][C]-0.066478[/C][C]-0.5149[/C][C]0.304244[/C][/ROW]
[ROW][C]29[/C][C]-0.016513[/C][C]-0.1279[/C][C]0.449326[/C][/ROW]
[ROW][C]30[/C][C]0.054129[/C][C]0.4193[/C][C]0.338255[/C][/ROW]
[ROW][C]31[/C][C]-0.114912[/C][C]-0.8901[/C][C]0.188483[/C][/ROW]
[ROW][C]32[/C][C]-0.058445[/C][C]-0.4527[/C][C]0.326194[/C][/ROW]
[ROW][C]33[/C][C]0.049371[/C][C]0.3824[/C][C]0.351749[/C][/ROW]
[ROW][C]34[/C][C]-0.010338[/C][C]-0.0801[/C][C]0.468222[/C][/ROW]
[ROW][C]35[/C][C]-0.02549[/C][C]-0.1974[/C][C]0.422075[/C][/ROW]
[ROW][C]36[/C][C]-0.090609[/C][C]-0.7019[/C][C]0.242742[/C][/ROW]
[ROW][C]37[/C][C]-0.069971[/C][C]-0.542[/C][C]0.294916[/C][/ROW]
[ROW][C]38[/C][C]0.054657[/C][C]0.4234[/C][C]0.336769[/C][/ROW]
[ROW][C]39[/C][C]0.102455[/C][C]0.7936[/C][C]0.215274[/C][/ROW]
[ROW][C]40[/C][C]-0.028609[/C][C]-0.2216[/C][C]0.412687[/C][/ROW]
[ROW][C]41[/C][C]-0.096002[/C][C]-0.7436[/C][C]0.230001[/C][/ROW]
[ROW][C]42[/C][C]0.016852[/C][C]0.1305[/C][C]0.448289[/C][/ROW]
[ROW][C]43[/C][C]0.057551[/C][C]0.4458[/C][C]0.328677[/C][/ROW]
[ROW][C]44[/C][C]0.045456[/C][C]0.3521[/C][C]0.362998[/C][/ROW]
[ROW][C]45[/C][C]-0.010275[/C][C]-0.0796[/C][C]0.468413[/C][/ROW]
[ROW][C]46[/C][C]-0.05375[/C][C]-0.4163[/C][C]0.339322[/C][/ROW]
[ROW][C]47[/C][C]-0.090535[/C][C]-0.7013[/C][C]0.24292[/C][/ROW]
[ROW][C]48[/C][C]-0.137457[/C][C]-1.0647[/C][C]0.145631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151206&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151206&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	-0.096023	-0.7438	0.229953
2	0.229242	1.7757	0.040427
3	0.244282	1.8922	0.031646
4	-0.175216	-1.3572	0.089897
5	0.129771	1.0052	0.159417
6	-0.34885	-2.7022	0.004472
7	-0.009902	-0.0767	0.46956
8	0.180912	1.4013	0.083132
9	0.258916	2.0056	0.02471
10	0.070226	0.544	0.294239
11	-0.004979	-0.0386	0.484683
12	0.49259	3.8156	0.000162
13	-0.139959	-1.0841	0.141326
14	-0.142531	-1.104	0.136992
15	-0.153762	-1.191	0.119165
16	-0.027311	-0.2116	0.416586
17	0.022301	0.1727	0.431717
18	-0.025194	-0.1952	0.422966
19	-0.033673	-0.2608	0.39756
20	-0.062542	-0.4844	0.314916
21	-0.058499	-0.4531	0.326044
22	-0.171676	-1.3298	0.09431
23	0.027722	0.2147	0.415353
24	0.139089	1.0774	0.142811
25	-0.060893	-0.4717	0.319434
26	-0.041993	-0.3253	0.373051
27	-0.030587	-0.2369	0.40676
28	-0.066478	-0.5149	0.304244
29	-0.016513	-0.1279	0.449326
30	0.054129	0.4193	0.338255
31	-0.114912	-0.8901	0.188483
32	-0.058445	-0.4527	0.326194
33	0.049371	0.3824	0.351749
34	-0.010338	-0.0801	0.468222
35	-0.02549	-0.1974	0.422075
36	-0.090609	-0.7019	0.242742
37	-0.069971	-0.542	0.294916
38	0.054657	0.4234	0.336769
39	0.102455	0.7936	0.215274
40	-0.028609	-0.2216	0.412687
41	-0.096002	-0.7436	0.230001
42	0.016852	0.1305	0.448289
43	0.057551	0.4458	0.328677
44	0.045456	0.3521	0.362998
45	-0.010275	-0.0796	0.468413
46	-0.05375	-0.4163	0.339322
47	-0.090535	-0.7013	0.24292
48	-0.137457	-1.0647	0.145631

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 0 ; par3 = 1 ; par4 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; 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 (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