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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 16 Dec 2007 08:38:59 -0700

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/2007/Dec/16/t1197818597qapurbvzn3ngusw.htm/, Retrieved Thu, 02 May 2024 09:45:12 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4209, Retrieved Thu, 02 May 2024 09:45:12 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

d=2 D=0 industriele productie

Estimated Impact

196

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

-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-16 15:38:59] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
- R PD    [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-24 13:15:43] [17bd4671b42d569d890f7246b2ee4ecc] 

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Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4209&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4209&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4209&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	8.4853	0
1	-0.36198	-3.0715	0.998498
2	0.046962	0.3985	0.345727
3	-0.011467	-0.0973	0.53862
4	-0.136506	-1.1583	0.874714
5	-0.145063	-1.2309	0.888817
6	-0.003939	-0.0334	0.513287
7	-0.003878	-0.0329	0.513079
8	0.075335	0.6392	0.262348
9	0.07358	0.6243	0.267187
10	0.008272	0.0702	0.472119
11	0.011396	0.0967	0.461618
12	0.019534	0.1657	0.43441
13	-0.07223	-0.6129	0.729061
14	-0.007286	-0.0618	0.524564
15	-0.03969	-0.3368	0.63137
16	0.001842	0.0156	0.493787
17	0.079509	0.6747	0.251028
18	-0.043755	-0.3713	0.644236
19	-0.046867	-0.3977	0.653979
20	0.097947	0.8311	0.20433
21	0.04375	0.3712	0.355777
22	-0.025888	-0.2197	0.586623
23	-0.032032	-0.2718	0.606723
24	-0.063931	-0.5425	0.705415
25	-0.023915	-0.2029	0.580118
26	-0.047486	-0.4029	0.655905
27	0.026154	0.2219	0.412501
28	0.124185	1.0537	0.147761
29	0.058631	0.4975	0.310177
30	-0.037403	-0.3174	0.624063
31	0.018492	0.1569	0.437879
32	-0.007666	-0.065	0.525842
33	-0.081716	-0.6934	0.754849
34	-0.014096	-0.1196	0.547436
35	-0.01892	-0.1605	0.563547
36	-0.01974	-0.1675	0.566276
37	0.046193	0.392	0.348123
38	0.000218	0.0019	0.499264
39	0.025635	0.2175	0.414208
40	-0.005549	-0.0471	0.518713
41	-0.008521	-0.0723	0.528718
42	-0.00648	-0.055	0.521847
43	0.001687	0.0143	0.494308
44	0.007951	0.0675	0.473197
45	0.01203	0.1021	0.459489
46	-0.003762	-0.0319	0.512688
47	-0.009953	-0.0845	0.533535

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.4853 & 0 \tabularnewline
1 & -0.36198 & -3.0715 & 0.998498 \tabularnewline
2 & 0.046962 & 0.3985 & 0.345727 \tabularnewline
3 & -0.011467 & -0.0973 & 0.53862 \tabularnewline
4 & -0.136506 & -1.1583 & 0.874714 \tabularnewline
5 & -0.145063 & -1.2309 & 0.888817 \tabularnewline
6 & -0.003939 & -0.0334 & 0.513287 \tabularnewline
7 & -0.003878 & -0.0329 & 0.513079 \tabularnewline
8 & 0.075335 & 0.6392 & 0.262348 \tabularnewline
9 & 0.07358 & 0.6243 & 0.267187 \tabularnewline
10 & 0.008272 & 0.0702 & 0.472119 \tabularnewline
11 & 0.011396 & 0.0967 & 0.461618 \tabularnewline
12 & 0.019534 & 0.1657 & 0.43441 \tabularnewline
13 & -0.07223 & -0.6129 & 0.729061 \tabularnewline
14 & -0.007286 & -0.0618 & 0.524564 \tabularnewline
15 & -0.03969 & -0.3368 & 0.63137 \tabularnewline
16 & 0.001842 & 0.0156 & 0.493787 \tabularnewline
17 & 0.079509 & 0.6747 & 0.251028 \tabularnewline
18 & -0.043755 & -0.3713 & 0.644236 \tabularnewline
19 & -0.046867 & -0.3977 & 0.653979 \tabularnewline
20 & 0.097947 & 0.8311 & 0.20433 \tabularnewline
21 & 0.04375 & 0.3712 & 0.355777 \tabularnewline
22 & -0.025888 & -0.2197 & 0.586623 \tabularnewline
23 & -0.032032 & -0.2718 & 0.606723 \tabularnewline
24 & -0.063931 & -0.5425 & 0.705415 \tabularnewline
25 & -0.023915 & -0.2029 & 0.580118 \tabularnewline
26 & -0.047486 & -0.4029 & 0.655905 \tabularnewline
27 & 0.026154 & 0.2219 & 0.412501 \tabularnewline
28 & 0.124185 & 1.0537 & 0.147761 \tabularnewline
29 & 0.058631 & 0.4975 & 0.310177 \tabularnewline
30 & -0.037403 & -0.3174 & 0.624063 \tabularnewline
31 & 0.018492 & 0.1569 & 0.437879 \tabularnewline
32 & -0.007666 & -0.065 & 0.525842 \tabularnewline
33 & -0.081716 & -0.6934 & 0.754849 \tabularnewline
34 & -0.014096 & -0.1196 & 0.547436 \tabularnewline
35 & -0.01892 & -0.1605 & 0.563547 \tabularnewline
36 & -0.01974 & -0.1675 & 0.566276 \tabularnewline
37 & 0.046193 & 0.392 & 0.348123 \tabularnewline
38 & 0.000218 & 0.0019 & 0.499264 \tabularnewline
39 & 0.025635 & 0.2175 & 0.414208 \tabularnewline
40 & -0.005549 & -0.0471 & 0.518713 \tabularnewline
41 & -0.008521 & -0.0723 & 0.528718 \tabularnewline
42 & -0.00648 & -0.055 & 0.521847 \tabularnewline
43 & 0.001687 & 0.0143 & 0.494308 \tabularnewline
44 & 0.007951 & 0.0675 & 0.473197 \tabularnewline
45 & 0.01203 & 0.1021 & 0.459489 \tabularnewline
46 & -0.003762 & -0.0319 & 0.512688 \tabularnewline
47 & -0.009953 & -0.0845 & 0.533535 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4209&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]0[/C][C]1[/C][C]8.4853[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.36198[/C][C]-3.0715[/C][C]0.998498[/C][/ROW]
[ROW][C]2[/C][C]0.046962[/C][C]0.3985[/C][C]0.345727[/C][/ROW]
[ROW][C]3[/C][C]-0.011467[/C][C]-0.0973[/C][C]0.53862[/C][/ROW]
[ROW][C]4[/C][C]-0.136506[/C][C]-1.1583[/C][C]0.874714[/C][/ROW]
[ROW][C]5[/C][C]-0.145063[/C][C]-1.2309[/C][C]0.888817[/C][/ROW]
[ROW][C]6[/C][C]-0.003939[/C][C]-0.0334[/C][C]0.513287[/C][/ROW]
[ROW][C]7[/C][C]-0.003878[/C][C]-0.0329[/C][C]0.513079[/C][/ROW]
[ROW][C]8[/C][C]0.075335[/C][C]0.6392[/C][C]0.262348[/C][/ROW]
[ROW][C]9[/C][C]0.07358[/C][C]0.6243[/C][C]0.267187[/C][/ROW]
[ROW][C]10[/C][C]0.008272[/C][C]0.0702[/C][C]0.472119[/C][/ROW]
[ROW][C]11[/C][C]0.011396[/C][C]0.0967[/C][C]0.461618[/C][/ROW]
[ROW][C]12[/C][C]0.019534[/C][C]0.1657[/C][C]0.43441[/C][/ROW]
[ROW][C]13[/C][C]-0.07223[/C][C]-0.6129[/C][C]0.729061[/C][/ROW]
[ROW][C]14[/C][C]-0.007286[/C][C]-0.0618[/C][C]0.524564[/C][/ROW]
[ROW][C]15[/C][C]-0.03969[/C][C]-0.3368[/C][C]0.63137[/C][/ROW]
[ROW][C]16[/C][C]0.001842[/C][C]0.0156[/C][C]0.493787[/C][/ROW]
[ROW][C]17[/C][C]0.079509[/C][C]0.6747[/C][C]0.251028[/C][/ROW]
[ROW][C]18[/C][C]-0.043755[/C][C]-0.3713[/C][C]0.644236[/C][/ROW]
[ROW][C]19[/C][C]-0.046867[/C][C]-0.3977[/C][C]0.653979[/C][/ROW]
[ROW][C]20[/C][C]0.097947[/C][C]0.8311[/C][C]0.20433[/C][/ROW]
[ROW][C]21[/C][C]0.04375[/C][C]0.3712[/C][C]0.355777[/C][/ROW]
[ROW][C]22[/C][C]-0.025888[/C][C]-0.2197[/C][C]0.586623[/C][/ROW]
[ROW][C]23[/C][C]-0.032032[/C][C]-0.2718[/C][C]0.606723[/C][/ROW]
[ROW][C]24[/C][C]-0.063931[/C][C]-0.5425[/C][C]0.705415[/C][/ROW]
[ROW][C]25[/C][C]-0.023915[/C][C]-0.2029[/C][C]0.580118[/C][/ROW]
[ROW][C]26[/C][C]-0.047486[/C][C]-0.4029[/C][C]0.655905[/C][/ROW]
[ROW][C]27[/C][C]0.026154[/C][C]0.2219[/C][C]0.412501[/C][/ROW]
[ROW][C]28[/C][C]0.124185[/C][C]1.0537[/C][C]0.147761[/C][/ROW]
[ROW][C]29[/C][C]0.058631[/C][C]0.4975[/C][C]0.310177[/C][/ROW]
[ROW][C]30[/C][C]-0.037403[/C][C]-0.3174[/C][C]0.624063[/C][/ROW]
[ROW][C]31[/C][C]0.018492[/C][C]0.1569[/C][C]0.437879[/C][/ROW]
[ROW][C]32[/C][C]-0.007666[/C][C]-0.065[/C][C]0.525842[/C][/ROW]
[ROW][C]33[/C][C]-0.081716[/C][C]-0.6934[/C][C]0.754849[/C][/ROW]
[ROW][C]34[/C][C]-0.014096[/C][C]-0.1196[/C][C]0.547436[/C][/ROW]
[ROW][C]35[/C][C]-0.01892[/C][C]-0.1605[/C][C]0.563547[/C][/ROW]
[ROW][C]36[/C][C]-0.01974[/C][C]-0.1675[/C][C]0.566276[/C][/ROW]
[ROW][C]37[/C][C]0.046193[/C][C]0.392[/C][C]0.348123[/C][/ROW]
[ROW][C]38[/C][C]0.000218[/C][C]0.0019[/C][C]0.499264[/C][/ROW]
[ROW][C]39[/C][C]0.025635[/C][C]0.2175[/C][C]0.414208[/C][/ROW]
[ROW][C]40[/C][C]-0.005549[/C][C]-0.0471[/C][C]0.518713[/C][/ROW]
[ROW][C]41[/C][C]-0.008521[/C][C]-0.0723[/C][C]0.528718[/C][/ROW]
[ROW][C]42[/C][C]-0.00648[/C][C]-0.055[/C][C]0.521847[/C][/ROW]
[ROW][C]43[/C][C]0.001687[/C][C]0.0143[/C][C]0.494308[/C][/ROW]
[ROW][C]44[/C][C]0.007951[/C][C]0.0675[/C][C]0.473197[/C][/ROW]
[ROW][C]45[/C][C]0.01203[/C][C]0.1021[/C][C]0.459489[/C][/ROW]
[ROW][C]46[/C][C]-0.003762[/C][C]-0.0319[/C][C]0.512688[/C][/ROW]
[ROW][C]47[/C][C]-0.009953[/C][C]-0.0845[/C][C]0.533535[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4209&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4209&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
0	1	8.4853	0
1	-0.36198	-3.0715	0.998498
2	0.046962	0.3985	0.345727
3	-0.011467	-0.0973	0.53862
4	-0.136506	-1.1583	0.874714
5	-0.145063	-1.2309	0.888817
6	-0.003939	-0.0334	0.513287
7	-0.003878	-0.0329	0.513079
8	0.075335	0.6392	0.262348
9	0.07358	0.6243	0.267187
10	0.008272	0.0702	0.472119
11	0.011396	0.0967	0.461618
12	0.019534	0.1657	0.43441
13	-0.07223	-0.6129	0.729061
14	-0.007286	-0.0618	0.524564
15	-0.03969	-0.3368	0.63137
16	0.001842	0.0156	0.493787
17	0.079509	0.6747	0.251028
18	-0.043755	-0.3713	0.644236
19	-0.046867	-0.3977	0.653979
20	0.097947	0.8311	0.20433
21	0.04375	0.3712	0.355777
22	-0.025888	-0.2197	0.586623
23	-0.032032	-0.2718	0.606723
24	-0.063931	-0.5425	0.705415
25	-0.023915	-0.2029	0.580118
26	-0.047486	-0.4029	0.655905
27	0.026154	0.2219	0.412501
28	0.124185	1.0537	0.147761
29	0.058631	0.4975	0.310177
30	-0.037403	-0.3174	0.624063
31	0.018492	0.1569	0.437879
32	-0.007666	-0.065	0.525842
33	-0.081716	-0.6934	0.754849
34	-0.014096	-0.1196	0.547436
35	-0.01892	-0.1605	0.563547
36	-0.01974	-0.1675	0.566276
37	0.046193	0.392	0.348123
38	0.000218	0.0019	0.499264
39	0.025635	0.2175	0.414208
40	-0.005549	-0.0471	0.518713
41	-0.008521	-0.0723	0.528718
42	-0.00648	-0.055	0.521847
43	0.001687	0.0143	0.494308
44	0.007951	0.0675	0.473197
45	0.01203	0.1021	0.459489
46	-0.003762	-0.0319	0.512688
47	-0.009953	-0.0845	0.533535

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	-0.36198	-3.0715	0.998498
1	-0.096744	-0.8209	0.792794
2	-0.032343	-0.2744	0.607735
3	-0.171705	-1.457	0.925264
4	-0.31072	-2.6366	0.994874
5	-0.255236	-2.1657	0.983178
6	-0.199369	-1.6917	0.952487
7	-0.111226	-0.9438	0.825781
8	-0.065993	-0.56	0.711382
9	-0.112102	-0.9512	0.827662
10	-0.122417	-1.0387	0.848799
11	-0.049561	-0.4205	0.662328
12	-0.068369	-0.5801	0.71818
13	-0.052584	-0.4462	0.671602
14	-0.091704	-0.7781	0.78048
15	-0.089424	-0.7588	0.774773
16	0.027103	0.23	0.40938
17	-0.033426	-0.2836	0.611246
18	-0.165725	-1.4062	0.91802
19	-0.063523	-0.539	0.70423
20	0.098616	0.8368	0.20274
21	0.115972	0.9841	0.164192
22	0.007479	0.0635	0.474786
23	-0.113363	-0.9619	0.830345
24	-0.088799	-0.7535	0.773192
25	-0.087363	-0.7413	0.769537
26	-0.070213	-0.5958	0.723404
27	0.032507	0.2758	0.391734
28	0.065846	0.5587	0.289043
29	-0.027142	-0.2303	0.590747
30	-0.019948	-0.1693	0.566969
31	0.077546	0.658	0.25632
32	0.083053	0.7047	0.241627
33	0.086086	0.7305	0.233738
34	0.087402	0.7416	0.230362
35	0.046589	0.3953	0.346887
36	0.014518	0.1232	0.451151
37	-0.034434	-0.2922	0.614505
38	0.006535	0.0555	0.477965
39	-0.000349	-0.003	0.501177
40	-0.051268	-0.435	0.667578
41	-0.095913	-0.8138	0.790792
42	-0.097145	-0.8243	0.793754
43	-0.06767	-0.5742	0.716189
44	-0.052334	-0.4441	0.670837
45	-0.029653	-0.2516	0.598972
46	-0.004425	-0.0375	0.514924
47	-0.047058	-0.3993	0.654574

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.36198 & -3.0715 & 0.998498 \tabularnewline
1 & -0.096744 & -0.8209 & 0.792794 \tabularnewline
2 & -0.032343 & -0.2744 & 0.607735 \tabularnewline
3 & -0.171705 & -1.457 & 0.925264 \tabularnewline
4 & -0.31072 & -2.6366 & 0.994874 \tabularnewline
5 & -0.255236 & -2.1657 & 0.983178 \tabularnewline
6 & -0.199369 & -1.6917 & 0.952487 \tabularnewline
7 & -0.111226 & -0.9438 & 0.825781 \tabularnewline
8 & -0.065993 & -0.56 & 0.711382 \tabularnewline
9 & -0.112102 & -0.9512 & 0.827662 \tabularnewline
10 & -0.122417 & -1.0387 & 0.848799 \tabularnewline
11 & -0.049561 & -0.4205 & 0.662328 \tabularnewline
12 & -0.068369 & -0.5801 & 0.71818 \tabularnewline
13 & -0.052584 & -0.4462 & 0.671602 \tabularnewline
14 & -0.091704 & -0.7781 & 0.78048 \tabularnewline
15 & -0.089424 & -0.7588 & 0.774773 \tabularnewline
16 & 0.027103 & 0.23 & 0.40938 \tabularnewline
17 & -0.033426 & -0.2836 & 0.611246 \tabularnewline
18 & -0.165725 & -1.4062 & 0.91802 \tabularnewline
19 & -0.063523 & -0.539 & 0.70423 \tabularnewline
20 & 0.098616 & 0.8368 & 0.20274 \tabularnewline
21 & 0.115972 & 0.9841 & 0.164192 \tabularnewline
22 & 0.007479 & 0.0635 & 0.474786 \tabularnewline
23 & -0.113363 & -0.9619 & 0.830345 \tabularnewline
24 & -0.088799 & -0.7535 & 0.773192 \tabularnewline
25 & -0.087363 & -0.7413 & 0.769537 \tabularnewline
26 & -0.070213 & -0.5958 & 0.723404 \tabularnewline
27 & 0.032507 & 0.2758 & 0.391734 \tabularnewline
28 & 0.065846 & 0.5587 & 0.289043 \tabularnewline
29 & -0.027142 & -0.2303 & 0.590747 \tabularnewline
30 & -0.019948 & -0.1693 & 0.566969 \tabularnewline
31 & 0.077546 & 0.658 & 0.25632 \tabularnewline
32 & 0.083053 & 0.7047 & 0.241627 \tabularnewline
33 & 0.086086 & 0.7305 & 0.233738 \tabularnewline
34 & 0.087402 & 0.7416 & 0.230362 \tabularnewline
35 & 0.046589 & 0.3953 & 0.346887 \tabularnewline
36 & 0.014518 & 0.1232 & 0.451151 \tabularnewline
37 & -0.034434 & -0.2922 & 0.614505 \tabularnewline
38 & 0.006535 & 0.0555 & 0.477965 \tabularnewline
39 & -0.000349 & -0.003 & 0.501177 \tabularnewline
40 & -0.051268 & -0.435 & 0.667578 \tabularnewline
41 & -0.095913 & -0.8138 & 0.790792 \tabularnewline
42 & -0.097145 & -0.8243 & 0.793754 \tabularnewline
43 & -0.06767 & -0.5742 & 0.716189 \tabularnewline
44 & -0.052334 & -0.4441 & 0.670837 \tabularnewline
45 & -0.029653 & -0.2516 & 0.598972 \tabularnewline
46 & -0.004425 & -0.0375 & 0.514924 \tabularnewline
47 & -0.047058 & -0.3993 & 0.654574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4209&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]0[/C][C]-0.36198[/C][C]-3.0715[/C][C]0.998498[/C][/ROW]
[ROW][C]1[/C][C]-0.096744[/C][C]-0.8209[/C][C]0.792794[/C][/ROW]
[ROW][C]2[/C][C]-0.032343[/C][C]-0.2744[/C][C]0.607735[/C][/ROW]
[ROW][C]3[/C][C]-0.171705[/C][C]-1.457[/C][C]0.925264[/C][/ROW]
[ROW][C]4[/C][C]-0.31072[/C][C]-2.6366[/C][C]0.994874[/C][/ROW]
[ROW][C]5[/C][C]-0.255236[/C][C]-2.1657[/C][C]0.983178[/C][/ROW]
[ROW][C]6[/C][C]-0.199369[/C][C]-1.6917[/C][C]0.952487[/C][/ROW]
[ROW][C]7[/C][C]-0.111226[/C][C]-0.9438[/C][C]0.825781[/C][/ROW]
[ROW][C]8[/C][C]-0.065993[/C][C]-0.56[/C][C]0.711382[/C][/ROW]
[ROW][C]9[/C][C]-0.112102[/C][C]-0.9512[/C][C]0.827662[/C][/ROW]
[ROW][C]10[/C][C]-0.122417[/C][C]-1.0387[/C][C]0.848799[/C][/ROW]
[ROW][C]11[/C][C]-0.049561[/C][C]-0.4205[/C][C]0.662328[/C][/ROW]
[ROW][C]12[/C][C]-0.068369[/C][C]-0.5801[/C][C]0.71818[/C][/ROW]
[ROW][C]13[/C][C]-0.052584[/C][C]-0.4462[/C][C]0.671602[/C][/ROW]
[ROW][C]14[/C][C]-0.091704[/C][C]-0.7781[/C][C]0.78048[/C][/ROW]
[ROW][C]15[/C][C]-0.089424[/C][C]-0.7588[/C][C]0.774773[/C][/ROW]
[ROW][C]16[/C][C]0.027103[/C][C]0.23[/C][C]0.40938[/C][/ROW]
[ROW][C]17[/C][C]-0.033426[/C][C]-0.2836[/C][C]0.611246[/C][/ROW]
[ROW][C]18[/C][C]-0.165725[/C][C]-1.4062[/C][C]0.91802[/C][/ROW]
[ROW][C]19[/C][C]-0.063523[/C][C]-0.539[/C][C]0.70423[/C][/ROW]
[ROW][C]20[/C][C]0.098616[/C][C]0.8368[/C][C]0.20274[/C][/ROW]
[ROW][C]21[/C][C]0.115972[/C][C]0.9841[/C][C]0.164192[/C][/ROW]
[ROW][C]22[/C][C]0.007479[/C][C]0.0635[/C][C]0.474786[/C][/ROW]
[ROW][C]23[/C][C]-0.113363[/C][C]-0.9619[/C][C]0.830345[/C][/ROW]
[ROW][C]24[/C][C]-0.088799[/C][C]-0.7535[/C][C]0.773192[/C][/ROW]
[ROW][C]25[/C][C]-0.087363[/C][C]-0.7413[/C][C]0.769537[/C][/ROW]
[ROW][C]26[/C][C]-0.070213[/C][C]-0.5958[/C][C]0.723404[/C][/ROW]
[ROW][C]27[/C][C]0.032507[/C][C]0.2758[/C][C]0.391734[/C][/ROW]
[ROW][C]28[/C][C]0.065846[/C][C]0.5587[/C][C]0.289043[/C][/ROW]
[ROW][C]29[/C][C]-0.027142[/C][C]-0.2303[/C][C]0.590747[/C][/ROW]
[ROW][C]30[/C][C]-0.019948[/C][C]-0.1693[/C][C]0.566969[/C][/ROW]
[ROW][C]31[/C][C]0.077546[/C][C]0.658[/C][C]0.25632[/C][/ROW]
[ROW][C]32[/C][C]0.083053[/C][C]0.7047[/C][C]0.241627[/C][/ROW]
[ROW][C]33[/C][C]0.086086[/C][C]0.7305[/C][C]0.233738[/C][/ROW]
[ROW][C]34[/C][C]0.087402[/C][C]0.7416[/C][C]0.230362[/C][/ROW]
[ROW][C]35[/C][C]0.046589[/C][C]0.3953[/C][C]0.346887[/C][/ROW]
[ROW][C]36[/C][C]0.014518[/C][C]0.1232[/C][C]0.451151[/C][/ROW]
[ROW][C]37[/C][C]-0.034434[/C][C]-0.2922[/C][C]0.614505[/C][/ROW]
[ROW][C]38[/C][C]0.006535[/C][C]0.0555[/C][C]0.477965[/C][/ROW]
[ROW][C]39[/C][C]-0.000349[/C][C]-0.003[/C][C]0.501177[/C][/ROW]
[ROW][C]40[/C][C]-0.051268[/C][C]-0.435[/C][C]0.667578[/C][/ROW]
[ROW][C]41[/C][C]-0.095913[/C][C]-0.8138[/C][C]0.790792[/C][/ROW]
[ROW][C]42[/C][C]-0.097145[/C][C]-0.8243[/C][C]0.793754[/C][/ROW]
[ROW][C]43[/C][C]-0.06767[/C][C]-0.5742[/C][C]0.716189[/C][/ROW]
[ROW][C]44[/C][C]-0.052334[/C][C]-0.4441[/C][C]0.670837[/C][/ROW]
[ROW][C]45[/C][C]-0.029653[/C][C]-0.2516[/C][C]0.598972[/C][/ROW]
[ROW][C]46[/C][C]-0.004425[/C][C]-0.0375[/C][C]0.514924[/C][/ROW]
[ROW][C]47[/C][C]-0.047058[/C][C]-0.3993[/C][C]0.654574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4209&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4209&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
0	-0.36198	-3.0715	0.998498
1	-0.096744	-0.8209	0.792794
2	-0.032343	-0.2744	0.607735
3	-0.171705	-1.457	0.925264
4	-0.31072	-2.6366	0.994874
5	-0.255236	-2.1657	0.983178
6	-0.199369	-1.6917	0.952487
7	-0.111226	-0.9438	0.825781
8	-0.065993	-0.56	0.711382
9	-0.112102	-0.9512	0.827662
10	-0.122417	-1.0387	0.848799
11	-0.049561	-0.4205	0.662328
12	-0.068369	-0.5801	0.71818
13	-0.052584	-0.4462	0.671602
14	-0.091704	-0.7781	0.78048
15	-0.089424	-0.7588	0.774773
16	0.027103	0.23	0.40938
17	-0.033426	-0.2836	0.611246
18	-0.165725	-1.4062	0.91802
19	-0.063523	-0.539	0.70423
20	0.098616	0.8368	0.20274
21	0.115972	0.9841	0.164192
22	0.007479	0.0635	0.474786
23	-0.113363	-0.9619	0.830345
24	-0.088799	-0.7535	0.773192
25	-0.087363	-0.7413	0.769537
26	-0.070213	-0.5958	0.723404
27	0.032507	0.2758	0.391734
28	0.065846	0.5587	0.289043
29	-0.027142	-0.2303	0.590747
30	-0.019948	-0.1693	0.566969
31	0.077546	0.658	0.25632
32	0.083053	0.7047	0.241627
33	0.086086	0.7305	0.233738
34	0.087402	0.7416	0.230362
35	0.046589	0.3953	0.346887
36	0.014518	0.1232	0.451151
37	-0.034434	-0.2922	0.614505
38	0.006535	0.0555	0.477965
39	-0.000349	-0.003	0.501177
40	-0.051268	-0.435	0.667578
41	-0.095913	-0.8138	0.790792
42	-0.097145	-0.8243	0.793754
43	-0.06767	-0.5742	0.716189
44	-0.052334	-0.4441	0.670837
45	-0.029653	-0.2516	0.598972
46	-0.004425	-0.0375	0.514924
47	-0.047058	-0.3993	0.654574

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 12 ;

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 1:par1) {
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(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-1,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(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