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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 17 Nov 2010 15:43:32 +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/2010/Nov/17/t12900086608ftk0acxto6pdby.htm/, Retrieved Fri, 26 Apr 2024 20:45:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96742, Retrieved Fri, 26 Apr 2024 20:45:15 +0000

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Original text written by user:

Autocorrelatie (degree non seasoning=1) indexcijfer van de boekenverkoop in Noorwegen (2001-2009)

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP2W12

Estimated Impact

165

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

-     [Mean Plot] [Boxplot boekenver...] [2010-11-14 19:37:47] [c3c8c498e4d3904156119cc0b4f4389b]
- RMP     [(Partial) Autocorrelation Function] [Autocorrelatie no...] [2010-11-17 15:43:32] [d2d436c33b2083ac16b3a67b544ba71f] [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	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=96742&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=96742&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96742&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	-0.29791	-3.0816	0.001309
2	-0.232147	-2.4014	0.00903
3	-0.078654	-0.8136	0.208839
4	0.366269	3.7887	0.000125
5	-0.161598	-1.6716	0.048765
6	-0.126611	-1.3097	0.096555
7	-0.160494	-1.6602	0.049905
8	0.322713	3.3382	0.00058
9	-0.054359	-0.5623	0.287546
10	-0.227856	-2.357	0.010122
11	-0.283037	-2.9278	0.002086
12	0.870692	9.0065	0
13	-0.251626	-2.6028	0.005278
14	-0.220942	-2.2854	0.012129
15	-0.072776	-0.7528	0.226611
16	0.349332	3.6135	0.000231
17	-0.157876	-1.6331	0.052696
18	-0.113161	-1.1705	0.122191
19	-0.126993	-1.3136	0.095891
20	0.270406	2.7971	0.003058
21	-0.045453	-0.4702	0.319597
22	-0.205538	-2.1261	0.017897
23	-0.243869	-2.5226	0.00656
24	0.762588	7.8883	0
25	-0.224077	-2.3179	0.011179
26	-0.190139	-1.9668	0.025897
27	-0.072383	-0.7487	0.22783
28	0.31452	3.2534	0.000763
29	-0.133328	-1.3792	0.085362
30	-0.096042	-0.9935	0.161363
31	-0.109409	-1.1317	0.130138
32	0.226766	2.3457	0.010418
33	-0.036481	-0.3774	0.353327
34	-0.172652	-1.7859	0.038472
35	-0.209838	-2.1706	0.016087
36	0.646823	6.6908	0
37	-0.188478	-1.9496	0.026918
38	-0.160362	-1.6588	0.050043
39	-0.068551	-0.7091	0.239903
40	0.266375	2.7554	0.003446
41	-0.101938	-1.0545	0.147024
42	-0.083542	-0.8642	0.194715
43	-0.093676	-0.969	0.167368
44	0.191541	1.9813	0.025061
45	-0.036157	-0.374	0.354567
46	-0.138257	-1.4301	0.077794
47	-0.17073	-1.766	0.04012
48	0.517618	5.3543	0

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.29791 & -3.0816 & 0.001309 \tabularnewline
2 & -0.232147 & -2.4014 & 0.00903 \tabularnewline
3 & -0.078654 & -0.8136 & 0.208839 \tabularnewline
4 & 0.366269 & 3.7887 & 0.000125 \tabularnewline
5 & -0.161598 & -1.6716 & 0.048765 \tabularnewline
6 & -0.126611 & -1.3097 & 0.096555 \tabularnewline
7 & -0.160494 & -1.6602 & 0.049905 \tabularnewline
8 & 0.322713 & 3.3382 & 0.00058 \tabularnewline
9 & -0.054359 & -0.5623 & 0.287546 \tabularnewline
10 & -0.227856 & -2.357 & 0.010122 \tabularnewline
11 & -0.283037 & -2.9278 & 0.002086 \tabularnewline
12 & 0.870692 & 9.0065 & 0 \tabularnewline
13 & -0.251626 & -2.6028 & 0.005278 \tabularnewline
14 & -0.220942 & -2.2854 & 0.012129 \tabularnewline
15 & -0.072776 & -0.7528 & 0.226611 \tabularnewline
16 & 0.349332 & 3.6135 & 0.000231 \tabularnewline
17 & -0.157876 & -1.6331 & 0.052696 \tabularnewline
18 & -0.113161 & -1.1705 & 0.122191 \tabularnewline
19 & -0.126993 & -1.3136 & 0.095891 \tabularnewline
20 & 0.270406 & 2.7971 & 0.003058 \tabularnewline
21 & -0.045453 & -0.4702 & 0.319597 \tabularnewline
22 & -0.205538 & -2.1261 & 0.017897 \tabularnewline
23 & -0.243869 & -2.5226 & 0.00656 \tabularnewline
24 & 0.762588 & 7.8883 & 0 \tabularnewline
25 & -0.224077 & -2.3179 & 0.011179 \tabularnewline
26 & -0.190139 & -1.9668 & 0.025897 \tabularnewline
27 & -0.072383 & -0.7487 & 0.22783 \tabularnewline
28 & 0.31452 & 3.2534 & 0.000763 \tabularnewline
29 & -0.133328 & -1.3792 & 0.085362 \tabularnewline
30 & -0.096042 & -0.9935 & 0.161363 \tabularnewline
31 & -0.109409 & -1.1317 & 0.130138 \tabularnewline
32 & 0.226766 & 2.3457 & 0.010418 \tabularnewline
33 & -0.036481 & -0.3774 & 0.353327 \tabularnewline
34 & -0.172652 & -1.7859 & 0.038472 \tabularnewline
35 & -0.209838 & -2.1706 & 0.016087 \tabularnewline
36 & 0.646823 & 6.6908 & 0 \tabularnewline
37 & -0.188478 & -1.9496 & 0.026918 \tabularnewline
38 & -0.160362 & -1.6588 & 0.050043 \tabularnewline
39 & -0.068551 & -0.7091 & 0.239903 \tabularnewline
40 & 0.266375 & 2.7554 & 0.003446 \tabularnewline
41 & -0.101938 & -1.0545 & 0.147024 \tabularnewline
42 & -0.083542 & -0.8642 & 0.194715 \tabularnewline
43 & -0.093676 & -0.969 & 0.167368 \tabularnewline
44 & 0.191541 & 1.9813 & 0.025061 \tabularnewline
45 & -0.036157 & -0.374 & 0.354567 \tabularnewline
46 & -0.138257 & -1.4301 & 0.077794 \tabularnewline
47 & -0.17073 & -1.766 & 0.04012 \tabularnewline
48 & 0.517618 & 5.3543 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96742&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]-0.29791[/C][C]-3.0816[/C][C]0.001309[/C][/ROW]
[ROW][C]2[/C][C]-0.232147[/C][C]-2.4014[/C][C]0.00903[/C][/ROW]
[ROW][C]3[/C][C]-0.078654[/C][C]-0.8136[/C][C]0.208839[/C][/ROW]
[ROW][C]4[/C][C]0.366269[/C][C]3.7887[/C][C]0.000125[/C][/ROW]
[ROW][C]5[/C][C]-0.161598[/C][C]-1.6716[/C][C]0.048765[/C][/ROW]
[ROW][C]6[/C][C]-0.126611[/C][C]-1.3097[/C][C]0.096555[/C][/ROW]
[ROW][C]7[/C][C]-0.160494[/C][C]-1.6602[/C][C]0.049905[/C][/ROW]
[ROW][C]8[/C][C]0.322713[/C][C]3.3382[/C][C]0.00058[/C][/ROW]
[ROW][C]9[/C][C]-0.054359[/C][C]-0.5623[/C][C]0.287546[/C][/ROW]
[ROW][C]10[/C][C]-0.227856[/C][C]-2.357[/C][C]0.010122[/C][/ROW]
[ROW][C]11[/C][C]-0.283037[/C][C]-2.9278[/C][C]0.002086[/C][/ROW]
[ROW][C]12[/C][C]0.870692[/C][C]9.0065[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.251626[/C][C]-2.6028[/C][C]0.005278[/C][/ROW]
[ROW][C]14[/C][C]-0.220942[/C][C]-2.2854[/C][C]0.012129[/C][/ROW]
[ROW][C]15[/C][C]-0.072776[/C][C]-0.7528[/C][C]0.226611[/C][/ROW]
[ROW][C]16[/C][C]0.349332[/C][C]3.6135[/C][C]0.000231[/C][/ROW]
[ROW][C]17[/C][C]-0.157876[/C][C]-1.6331[/C][C]0.052696[/C][/ROW]
[ROW][C]18[/C][C]-0.113161[/C][C]-1.1705[/C][C]0.122191[/C][/ROW]
[ROW][C]19[/C][C]-0.126993[/C][C]-1.3136[/C][C]0.095891[/C][/ROW]
[ROW][C]20[/C][C]0.270406[/C][C]2.7971[/C][C]0.003058[/C][/ROW]
[ROW][C]21[/C][C]-0.045453[/C][C]-0.4702[/C][C]0.319597[/C][/ROW]
[ROW][C]22[/C][C]-0.205538[/C][C]-2.1261[/C][C]0.017897[/C][/ROW]
[ROW][C]23[/C][C]-0.243869[/C][C]-2.5226[/C][C]0.00656[/C][/ROW]
[ROW][C]24[/C][C]0.762588[/C][C]7.8883[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.224077[/C][C]-2.3179[/C][C]0.011179[/C][/ROW]
[ROW][C]26[/C][C]-0.190139[/C][C]-1.9668[/C][C]0.025897[/C][/ROW]
[ROW][C]27[/C][C]-0.072383[/C][C]-0.7487[/C][C]0.22783[/C][/ROW]
[ROW][C]28[/C][C]0.31452[/C][C]3.2534[/C][C]0.000763[/C][/ROW]
[ROW][C]29[/C][C]-0.133328[/C][C]-1.3792[/C][C]0.085362[/C][/ROW]
[ROW][C]30[/C][C]-0.096042[/C][C]-0.9935[/C][C]0.161363[/C][/ROW]
[ROW][C]31[/C][C]-0.109409[/C][C]-1.1317[/C][C]0.130138[/C][/ROW]
[ROW][C]32[/C][C]0.226766[/C][C]2.3457[/C][C]0.010418[/C][/ROW]
[ROW][C]33[/C][C]-0.036481[/C][C]-0.3774[/C][C]0.353327[/C][/ROW]
[ROW][C]34[/C][C]-0.172652[/C][C]-1.7859[/C][C]0.038472[/C][/ROW]
[ROW][C]35[/C][C]-0.209838[/C][C]-2.1706[/C][C]0.016087[/C][/ROW]
[ROW][C]36[/C][C]0.646823[/C][C]6.6908[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.188478[/C][C]-1.9496[/C][C]0.026918[/C][/ROW]
[ROW][C]38[/C][C]-0.160362[/C][C]-1.6588[/C][C]0.050043[/C][/ROW]
[ROW][C]39[/C][C]-0.068551[/C][C]-0.7091[/C][C]0.239903[/C][/ROW]
[ROW][C]40[/C][C]0.266375[/C][C]2.7554[/C][C]0.003446[/C][/ROW]
[ROW][C]41[/C][C]-0.101938[/C][C]-1.0545[/C][C]0.147024[/C][/ROW]
[ROW][C]42[/C][C]-0.083542[/C][C]-0.8642[/C][C]0.194715[/C][/ROW]
[ROW][C]43[/C][C]-0.093676[/C][C]-0.969[/C][C]0.167368[/C][/ROW]
[ROW][C]44[/C][C]0.191541[/C][C]1.9813[/C][C]0.025061[/C][/ROW]
[ROW][C]45[/C][C]-0.036157[/C][C]-0.374[/C][C]0.354567[/C][/ROW]
[ROW][C]46[/C][C]-0.138257[/C][C]-1.4301[/C][C]0.077794[/C][/ROW]
[ROW][C]47[/C][C]-0.17073[/C][C]-1.766[/C][C]0.04012[/C][/ROW]
[ROW][C]48[/C][C]0.517618[/C][C]5.3543[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96742&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96742&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	-0.29791	-3.0816	0.001309
2	-0.232147	-2.4014	0.00903
3	-0.078654	-0.8136	0.208839
4	0.366269	3.7887	0.000125
5	-0.161598	-1.6716	0.048765
6	-0.126611	-1.3097	0.096555
7	-0.160494	-1.6602	0.049905
8	0.322713	3.3382	0.00058
9	-0.054359	-0.5623	0.287546
10	-0.227856	-2.357	0.010122
11	-0.283037	-2.9278	0.002086
12	0.870692	9.0065	0
13	-0.251626	-2.6028	0.005278
14	-0.220942	-2.2854	0.012129
15	-0.072776	-0.7528	0.226611
16	0.349332	3.6135	0.000231
17	-0.157876	-1.6331	0.052696
18	-0.113161	-1.1705	0.122191
19	-0.126993	-1.3136	0.095891
20	0.270406	2.7971	0.003058
21	-0.045453	-0.4702	0.319597
22	-0.205538	-2.1261	0.017897
23	-0.243869	-2.5226	0.00656
24	0.762588	7.8883	0
25	-0.224077	-2.3179	0.011179
26	-0.190139	-1.9668	0.025897
27	-0.072383	-0.7487	0.22783
28	0.31452	3.2534	0.000763
29	-0.133328	-1.3792	0.085362
30	-0.096042	-0.9935	0.161363
31	-0.109409	-1.1317	0.130138
32	0.226766	2.3457	0.010418
33	-0.036481	-0.3774	0.353327
34	-0.172652	-1.7859	0.038472
35	-0.209838	-2.1706	0.016087
36	0.646823	6.6908	0
37	-0.188478	-1.9496	0.026918
38	-0.160362	-1.6588	0.050043
39	-0.068551	-0.7091	0.239903
40	0.266375	2.7554	0.003446
41	-0.101938	-1.0545	0.147024
42	-0.083542	-0.8642	0.194715
43	-0.093676	-0.969	0.167368
44	0.191541	1.9813	0.025061
45	-0.036157	-0.374	0.354567
46	-0.138257	-1.4301	0.077794
47	-0.17073	-1.766	0.04012
48	0.517618	5.3543	0

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.29791	-3.0816	0.001309
2	-0.352151	-3.6427	0.000209
3	-0.347108	-3.5905	0.00025
4	0.15291	1.5817	0.058333
5	-0.055268	-0.5717	0.284364
6	-0.077967	-0.8065	0.210872
7	-0.30988	-3.2054	0.000889
8	-0.031334	-0.3241	0.373238
9	-0.035995	-0.3723	0.355188
10	-0.24356	-2.5194	0.006617
11	-0.626605	-6.4817	0
12	0.642963	6.6509	0
13	0.108593	1.1233	0.131913
14	0.043898	0.4541	0.325343
15	0.109099	1.1285	0.13081
16	-0.157926	-1.6336	0.052641
17	-0.115762	-1.1975	0.116888
18	-0.053105	-0.5493	0.291966
19	0.049031	0.5072	0.306535
20	-0.026372	-0.2728	0.392768
21	-0.071107	-0.7355	0.23181
22	-0.007844	-0.0811	0.46774
23	0.024742	0.2559	0.399247
24	0.042606	0.4407	0.330154
25	-0.01296	-0.1341	0.446806
26	0.075409	0.78	0.218544
27	-0.035085	-0.3629	0.358688
28	-0.13882	-1.436	0.076965
29	0.053942	0.558	0.289012
30	0.023721	0.2454	0.40332
31	-0.034219	-0.354	0.362032
32	0.01977	0.2045	0.419176
33	-0.009897	-0.1024	0.459324
34	0.03474	0.3594	0.36002
35	0.030863	0.3193	0.375078
36	-0.049628	-0.5134	0.304382
37	0.035465	0.3669	0.357228
38	-0.0212	-0.2193	0.41342
39	-0.020233	-0.2093	0.417308
40	-0.019913	-0.206	0.418597
41	0.035941	0.3718	0.355399
42	-0.024113	-0.2494	0.401753
43	-0.00716	-0.0741	0.470548
44	0.061095	0.632	0.264378
45	-0.047101	-0.4872	0.31355
46	0.027377	0.2832	0.38879
47	0.062848	0.6501	0.258509
48	-0.144854	-1.4984	0.06849

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.29791 & -3.0816 & 0.001309 \tabularnewline
2 & -0.352151 & -3.6427 & 0.000209 \tabularnewline
3 & -0.347108 & -3.5905 & 0.00025 \tabularnewline
4 & 0.15291 & 1.5817 & 0.058333 \tabularnewline
5 & -0.055268 & -0.5717 & 0.284364 \tabularnewline
6 & -0.077967 & -0.8065 & 0.210872 \tabularnewline
7 & -0.30988 & -3.2054 & 0.000889 \tabularnewline
8 & -0.031334 & -0.3241 & 0.373238 \tabularnewline
9 & -0.035995 & -0.3723 & 0.355188 \tabularnewline
10 & -0.24356 & -2.5194 & 0.006617 \tabularnewline
11 & -0.626605 & -6.4817 & 0 \tabularnewline
12 & 0.642963 & 6.6509 & 0 \tabularnewline
13 & 0.108593 & 1.1233 & 0.131913 \tabularnewline
14 & 0.043898 & 0.4541 & 0.325343 \tabularnewline
15 & 0.109099 & 1.1285 & 0.13081 \tabularnewline
16 & -0.157926 & -1.6336 & 0.052641 \tabularnewline
17 & -0.115762 & -1.1975 & 0.116888 \tabularnewline
18 & -0.053105 & -0.5493 & 0.291966 \tabularnewline
19 & 0.049031 & 0.5072 & 0.306535 \tabularnewline
20 & -0.026372 & -0.2728 & 0.392768 \tabularnewline
21 & -0.071107 & -0.7355 & 0.23181 \tabularnewline
22 & -0.007844 & -0.0811 & 0.46774 \tabularnewline
23 & 0.024742 & 0.2559 & 0.399247 \tabularnewline
24 & 0.042606 & 0.4407 & 0.330154 \tabularnewline
25 & -0.01296 & -0.1341 & 0.446806 \tabularnewline
26 & 0.075409 & 0.78 & 0.218544 \tabularnewline
27 & -0.035085 & -0.3629 & 0.358688 \tabularnewline
28 & -0.13882 & -1.436 & 0.076965 \tabularnewline
29 & 0.053942 & 0.558 & 0.289012 \tabularnewline
30 & 0.023721 & 0.2454 & 0.40332 \tabularnewline
31 & -0.034219 & -0.354 & 0.362032 \tabularnewline
32 & 0.01977 & 0.2045 & 0.419176 \tabularnewline
33 & -0.009897 & -0.1024 & 0.459324 \tabularnewline
34 & 0.03474 & 0.3594 & 0.36002 \tabularnewline
35 & 0.030863 & 0.3193 & 0.375078 \tabularnewline
36 & -0.049628 & -0.5134 & 0.304382 \tabularnewline
37 & 0.035465 & 0.3669 & 0.357228 \tabularnewline
38 & -0.0212 & -0.2193 & 0.41342 \tabularnewline
39 & -0.020233 & -0.2093 & 0.417308 \tabularnewline
40 & -0.019913 & -0.206 & 0.418597 \tabularnewline
41 & 0.035941 & 0.3718 & 0.355399 \tabularnewline
42 & -0.024113 & -0.2494 & 0.401753 \tabularnewline
43 & -0.00716 & -0.0741 & 0.470548 \tabularnewline
44 & 0.061095 & 0.632 & 0.264378 \tabularnewline
45 & -0.047101 & -0.4872 & 0.31355 \tabularnewline
46 & 0.027377 & 0.2832 & 0.38879 \tabularnewline
47 & 0.062848 & 0.6501 & 0.258509 \tabularnewline
48 & -0.144854 & -1.4984 & 0.06849 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96742&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]-0.29791[/C][C]-3.0816[/C][C]0.001309[/C][/ROW]
[ROW][C]2[/C][C]-0.352151[/C][C]-3.6427[/C][C]0.000209[/C][/ROW]
[ROW][C]3[/C][C]-0.347108[/C][C]-3.5905[/C][C]0.00025[/C][/ROW]
[ROW][C]4[/C][C]0.15291[/C][C]1.5817[/C][C]0.058333[/C][/ROW]
[ROW][C]5[/C][C]-0.055268[/C][C]-0.5717[/C][C]0.284364[/C][/ROW]
[ROW][C]6[/C][C]-0.077967[/C][C]-0.8065[/C][C]0.210872[/C][/ROW]
[ROW][C]7[/C][C]-0.30988[/C][C]-3.2054[/C][C]0.000889[/C][/ROW]
[ROW][C]8[/C][C]-0.031334[/C][C]-0.3241[/C][C]0.373238[/C][/ROW]
[ROW][C]9[/C][C]-0.035995[/C][C]-0.3723[/C][C]0.355188[/C][/ROW]
[ROW][C]10[/C][C]-0.24356[/C][C]-2.5194[/C][C]0.006617[/C][/ROW]
[ROW][C]11[/C][C]-0.626605[/C][C]-6.4817[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.642963[/C][C]6.6509[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.108593[/C][C]1.1233[/C][C]0.131913[/C][/ROW]
[ROW][C]14[/C][C]0.043898[/C][C]0.4541[/C][C]0.325343[/C][/ROW]
[ROW][C]15[/C][C]0.109099[/C][C]1.1285[/C][C]0.13081[/C][/ROW]
[ROW][C]16[/C][C]-0.157926[/C][C]-1.6336[/C][C]0.052641[/C][/ROW]
[ROW][C]17[/C][C]-0.115762[/C][C]-1.1975[/C][C]0.116888[/C][/ROW]
[ROW][C]18[/C][C]-0.053105[/C][C]-0.5493[/C][C]0.291966[/C][/ROW]
[ROW][C]19[/C][C]0.049031[/C][C]0.5072[/C][C]0.306535[/C][/ROW]
[ROW][C]20[/C][C]-0.026372[/C][C]-0.2728[/C][C]0.392768[/C][/ROW]
[ROW][C]21[/C][C]-0.071107[/C][C]-0.7355[/C][C]0.23181[/C][/ROW]
[ROW][C]22[/C][C]-0.007844[/C][C]-0.0811[/C][C]0.46774[/C][/ROW]
[ROW][C]23[/C][C]0.024742[/C][C]0.2559[/C][C]0.399247[/C][/ROW]
[ROW][C]24[/C][C]0.042606[/C][C]0.4407[/C][C]0.330154[/C][/ROW]
[ROW][C]25[/C][C]-0.01296[/C][C]-0.1341[/C][C]0.446806[/C][/ROW]
[ROW][C]26[/C][C]0.075409[/C][C]0.78[/C][C]0.218544[/C][/ROW]
[ROW][C]27[/C][C]-0.035085[/C][C]-0.3629[/C][C]0.358688[/C][/ROW]
[ROW][C]28[/C][C]-0.13882[/C][C]-1.436[/C][C]0.076965[/C][/ROW]
[ROW][C]29[/C][C]0.053942[/C][C]0.558[/C][C]0.289012[/C][/ROW]
[ROW][C]30[/C][C]0.023721[/C][C]0.2454[/C][C]0.40332[/C][/ROW]
[ROW][C]31[/C][C]-0.034219[/C][C]-0.354[/C][C]0.362032[/C][/ROW]
[ROW][C]32[/C][C]0.01977[/C][C]0.2045[/C][C]0.419176[/C][/ROW]
[ROW][C]33[/C][C]-0.009897[/C][C]-0.1024[/C][C]0.459324[/C][/ROW]
[ROW][C]34[/C][C]0.03474[/C][C]0.3594[/C][C]0.36002[/C][/ROW]
[ROW][C]35[/C][C]0.030863[/C][C]0.3193[/C][C]0.375078[/C][/ROW]
[ROW][C]36[/C][C]-0.049628[/C][C]-0.5134[/C][C]0.304382[/C][/ROW]
[ROW][C]37[/C][C]0.035465[/C][C]0.3669[/C][C]0.357228[/C][/ROW]
[ROW][C]38[/C][C]-0.0212[/C][C]-0.2193[/C][C]0.41342[/C][/ROW]
[ROW][C]39[/C][C]-0.020233[/C][C]-0.2093[/C][C]0.417308[/C][/ROW]
[ROW][C]40[/C][C]-0.019913[/C][C]-0.206[/C][C]0.418597[/C][/ROW]
[ROW][C]41[/C][C]0.035941[/C][C]0.3718[/C][C]0.355399[/C][/ROW]
[ROW][C]42[/C][C]-0.024113[/C][C]-0.2494[/C][C]0.401753[/C][/ROW]
[ROW][C]43[/C][C]-0.00716[/C][C]-0.0741[/C][C]0.470548[/C][/ROW]
[ROW][C]44[/C][C]0.061095[/C][C]0.632[/C][C]0.264378[/C][/ROW]
[ROW][C]45[/C][C]-0.047101[/C][C]-0.4872[/C][C]0.31355[/C][/ROW]
[ROW][C]46[/C][C]0.027377[/C][C]0.2832[/C][C]0.38879[/C][/ROW]
[ROW][C]47[/C][C]0.062848[/C][C]0.6501[/C][C]0.258509[/C][/ROW]
[ROW][C]48[/C][C]-0.144854[/C][C]-1.4984[/C][C]0.06849[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96742&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96742&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	-0.29791	-3.0816	0.001309
2	-0.352151	-3.6427	0.000209
3	-0.347108	-3.5905	0.00025
4	0.15291	1.5817	0.058333
5	-0.055268	-0.5717	0.284364
6	-0.077967	-0.8065	0.210872
7	-0.30988	-3.2054	0.000889
8	-0.031334	-0.3241	0.373238
9	-0.035995	-0.3723	0.355188
10	-0.24356	-2.5194	0.006617
11	-0.626605	-6.4817	0
12	0.642963	6.6509	0
13	0.108593	1.1233	0.131913
14	0.043898	0.4541	0.325343
15	0.109099	1.1285	0.13081
16	-0.157926	-1.6336	0.052641
17	-0.115762	-1.1975	0.116888
18	-0.053105	-0.5493	0.291966
19	0.049031	0.5072	0.306535
20	-0.026372	-0.2728	0.392768
21	-0.071107	-0.7355	0.23181
22	-0.007844	-0.0811	0.46774
23	0.024742	0.2559	0.399247
24	0.042606	0.4407	0.330154
25	-0.01296	-0.1341	0.446806
26	0.075409	0.78	0.218544
27	-0.035085	-0.3629	0.358688
28	-0.13882	-1.436	0.076965
29	0.053942	0.558	0.289012
30	0.023721	0.2454	0.40332
31	-0.034219	-0.354	0.362032
32	0.01977	0.2045	0.419176
33	-0.009897	-0.1024	0.459324
34	0.03474	0.3594	0.36002
35	0.030863	0.3193	0.375078
36	-0.049628	-0.5134	0.304382
37	0.035465	0.3669	0.357228
38	-0.0212	-0.2193	0.41342
39	-0.020233	-0.2093	0.417308
40	-0.019913	-0.206	0.418597
41	0.035941	0.3718	0.355399
42	-0.024113	-0.2494	0.401753
43	-0.00716	-0.0741	0.470548
44	0.061095	0.632	0.264378
45	-0.047101	-0.4872	0.31355
46	0.027377	0.2832	0.38879
47	0.062848	0.6501	0.258509
48	-0.144854	-1.4984	0.06849

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 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 ;

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