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Author

*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 16 Dec 2007 09:28:35 -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/t1197821524vncgnmob5o0be2s.htm/, Retrieved Thu, 02 May 2024 10:09:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4212, Retrieved Thu, 02 May 2024 10:09:18 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

d=0 D=0 nieuwe personenwagens

Estimated Impact

199

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 16:28:35] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
- R PD    [(Partial) Autocorrelation Function] [] [2008-12-23 15:56:41] [74be16979710d4c4e7c6647856088456] 
- R PD    [(Partial) Autocorrelation Function] [] [2008-12-23 15:58:46] [74be16979710d4c4e7c6647856088456] 
- R PD    [(Partial) Autocorrelation Function] [] [2008-12-23 16:01:06] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

0,2
0,8
1,2
4,5
0,4
5,9
6,5
12,8
4,2
-3,3
-12,5
-16,3
-10,5
-11,8
-11,4
-17,7
-17,3
-18,6
-17,9
-21,4
-19,4
-15,5
-7,7
-0,7
-1,6
1,4
0,7
9,5
1,4
4,1
6,6
18,4
16,9
9,2
-4,3
-5,9
-7,7
-5,4
-2,3
-4,8
2,3
-5,2
-10
-17,1
-14,4
-3,9
3,7
6,5
0,9
-4,1
-7
-12,2
-2,5
4,4
13,7
12,3
13,4
2,2
1,7
-7,2
-4,8
-2,9
-2,4
-2,5
-5,3
-7,1
-8
-8,9
-7,7
-1,1
4
9,6
10,9
13

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4212&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]1 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=4212&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4212&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	8.6023	0
1	0.814351	7.0053	0
2	0.561333	4.8288	4e-06
3	0.259687	2.2339	0.014255
4	0.122503	1.0538	0.147699
5	0.06302	0.5421	0.294683
6	0.066204	0.5695	0.285367
7	0.061807	0.5317	0.29827
8	0.001983	0.0171	0.493218
9	-0.129708	-1.1158	0.865939
10	-0.349727	-3.0085	0.998206
11	-0.53103	-4.5681	0.99999
12	-0.611281	-5.2584	0.999999
13	-0.507901	-4.3691	0.99998
14	-0.343366	-2.9537	0.997897
15	-0.165301	-1.422	0.920382
16	-0.092956	-0.7996	0.786759
17	-0.067377	-0.5796	0.718027
18	-0.091515	-0.7872	0.783172
19	-0.115808	-0.9962	0.838804
20	-0.095521	-0.8217	0.793057
21	-0.010107	-0.0869	0.534526
22	0.145421	1.251	0.107445
23	0.313785	2.6993	0.004303
24	0.394577	3.3943	0.000554
25	0.370327	3.1857	0.001057
26	0.262689	2.2597	0.013391
27	0.135745	1.1677	0.123333
28	0.048514	0.4173	0.338822
29	0.029587	0.2545	0.399901
30	0.040072	0.3447	0.365645
31	0.068393	0.5883	0.279049
32	0.03268	0.2811	0.3897
33	-0.02744	-0.2361	0.592977
34	-0.153459	-1.3201	0.904566
35	-0.243152	-2.0917	0.98005
36	-0.297456	-2.5588	0.993727
37	-0.262322	-2.2566	0.986506
38	-0.156973	-1.3503	0.909487
39	-0.057184	-0.4919	0.687883
40	0.026174	0.2252	0.41124
41	0.020166	0.1735	0.431376
42	-0.005637	-0.0485	0.519273
43	-0.046556	-0.4005	0.655026
44	-0.025501	-0.2194	0.586516
45	0.020129	0.1732	0.431499
46	0.091505	0.7872	0.216852
47	0.13131	1.1296	0.131153

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.6023 & 0 \tabularnewline
1 & 0.814351 & 7.0053 & 0 \tabularnewline
2 & 0.561333 & 4.8288 & 4e-06 \tabularnewline
3 & 0.259687 & 2.2339 & 0.014255 \tabularnewline
4 & 0.122503 & 1.0538 & 0.147699 \tabularnewline
5 & 0.06302 & 0.5421 & 0.294683 \tabularnewline
6 & 0.066204 & 0.5695 & 0.285367 \tabularnewline
7 & 0.061807 & 0.5317 & 0.29827 \tabularnewline
8 & 0.001983 & 0.0171 & 0.493218 \tabularnewline
9 & -0.129708 & -1.1158 & 0.865939 \tabularnewline
10 & -0.349727 & -3.0085 & 0.998206 \tabularnewline
11 & -0.53103 & -4.5681 & 0.99999 \tabularnewline
12 & -0.611281 & -5.2584 & 0.999999 \tabularnewline
13 & -0.507901 & -4.3691 & 0.99998 \tabularnewline
14 & -0.343366 & -2.9537 & 0.997897 \tabularnewline
15 & -0.165301 & -1.422 & 0.920382 \tabularnewline
16 & -0.092956 & -0.7996 & 0.786759 \tabularnewline
17 & -0.067377 & -0.5796 & 0.718027 \tabularnewline
18 & -0.091515 & -0.7872 & 0.783172 \tabularnewline
19 & -0.115808 & -0.9962 & 0.838804 \tabularnewline
20 & -0.095521 & -0.8217 & 0.793057 \tabularnewline
21 & -0.010107 & -0.0869 & 0.534526 \tabularnewline
22 & 0.145421 & 1.251 & 0.107445 \tabularnewline
23 & 0.313785 & 2.6993 & 0.004303 \tabularnewline
24 & 0.394577 & 3.3943 & 0.000554 \tabularnewline
25 & 0.370327 & 3.1857 & 0.001057 \tabularnewline
26 & 0.262689 & 2.2597 & 0.013391 \tabularnewline
27 & 0.135745 & 1.1677 & 0.123333 \tabularnewline
28 & 0.048514 & 0.4173 & 0.338822 \tabularnewline
29 & 0.029587 & 0.2545 & 0.399901 \tabularnewline
30 & 0.040072 & 0.3447 & 0.365645 \tabularnewline
31 & 0.068393 & 0.5883 & 0.279049 \tabularnewline
32 & 0.03268 & 0.2811 & 0.3897 \tabularnewline
33 & -0.02744 & -0.2361 & 0.592977 \tabularnewline
34 & -0.153459 & -1.3201 & 0.904566 \tabularnewline
35 & -0.243152 & -2.0917 & 0.98005 \tabularnewline
36 & -0.297456 & -2.5588 & 0.993727 \tabularnewline
37 & -0.262322 & -2.2566 & 0.986506 \tabularnewline
38 & -0.156973 & -1.3503 & 0.909487 \tabularnewline
39 & -0.057184 & -0.4919 & 0.687883 \tabularnewline
40 & 0.026174 & 0.2252 & 0.41124 \tabularnewline
41 & 0.020166 & 0.1735 & 0.431376 \tabularnewline
42 & -0.005637 & -0.0485 & 0.519273 \tabularnewline
43 & -0.046556 & -0.4005 & 0.655026 \tabularnewline
44 & -0.025501 & -0.2194 & 0.586516 \tabularnewline
45 & 0.020129 & 0.1732 & 0.431499 \tabularnewline
46 & 0.091505 & 0.7872 & 0.216852 \tabularnewline
47 & 0.13131 & 1.1296 & 0.131153 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4212&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]8.6023[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.814351[/C][C]7.0053[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.561333[/C][C]4.8288[/C][C]4e-06[/C][/ROW]
[ROW][C]3[/C][C]0.259687[/C][C]2.2339[/C][C]0.014255[/C][/ROW]
[ROW][C]4[/C][C]0.122503[/C][C]1.0538[/C][C]0.147699[/C][/ROW]
[ROW][C]5[/C][C]0.06302[/C][C]0.5421[/C][C]0.294683[/C][/ROW]
[ROW][C]6[/C][C]0.066204[/C][C]0.5695[/C][C]0.285367[/C][/ROW]
[ROW][C]7[/C][C]0.061807[/C][C]0.5317[/C][C]0.29827[/C][/ROW]
[ROW][C]8[/C][C]0.001983[/C][C]0.0171[/C][C]0.493218[/C][/ROW]
[ROW][C]9[/C][C]-0.129708[/C][C]-1.1158[/C][C]0.865939[/C][/ROW]
[ROW][C]10[/C][C]-0.349727[/C][C]-3.0085[/C][C]0.998206[/C][/ROW]
[ROW][C]11[/C][C]-0.53103[/C][C]-4.5681[/C][C]0.99999[/C][/ROW]
[ROW][C]12[/C][C]-0.611281[/C][C]-5.2584[/C][C]0.999999[/C][/ROW]
[ROW][C]13[/C][C]-0.507901[/C][C]-4.3691[/C][C]0.99998[/C][/ROW]
[ROW][C]14[/C][C]-0.343366[/C][C]-2.9537[/C][C]0.997897[/C][/ROW]
[ROW][C]15[/C][C]-0.165301[/C][C]-1.422[/C][C]0.920382[/C][/ROW]
[ROW][C]16[/C][C]-0.092956[/C][C]-0.7996[/C][C]0.786759[/C][/ROW]
[ROW][C]17[/C][C]-0.067377[/C][C]-0.5796[/C][C]0.718027[/C][/ROW]
[ROW][C]18[/C][C]-0.091515[/C][C]-0.7872[/C][C]0.783172[/C][/ROW]
[ROW][C]19[/C][C]-0.115808[/C][C]-0.9962[/C][C]0.838804[/C][/ROW]
[ROW][C]20[/C][C]-0.095521[/C][C]-0.8217[/C][C]0.793057[/C][/ROW]
[ROW][C]21[/C][C]-0.010107[/C][C]-0.0869[/C][C]0.534526[/C][/ROW]
[ROW][C]22[/C][C]0.145421[/C][C]1.251[/C][C]0.107445[/C][/ROW]
[ROW][C]23[/C][C]0.313785[/C][C]2.6993[/C][C]0.004303[/C][/ROW]
[ROW][C]24[/C][C]0.394577[/C][C]3.3943[/C][C]0.000554[/C][/ROW]
[ROW][C]25[/C][C]0.370327[/C][C]3.1857[/C][C]0.001057[/C][/ROW]
[ROW][C]26[/C][C]0.262689[/C][C]2.2597[/C][C]0.013391[/C][/ROW]
[ROW][C]27[/C][C]0.135745[/C][C]1.1677[/C][C]0.123333[/C][/ROW]
[ROW][C]28[/C][C]0.048514[/C][C]0.4173[/C][C]0.338822[/C][/ROW]
[ROW][C]29[/C][C]0.029587[/C][C]0.2545[/C][C]0.399901[/C][/ROW]
[ROW][C]30[/C][C]0.040072[/C][C]0.3447[/C][C]0.365645[/C][/ROW]
[ROW][C]31[/C][C]0.068393[/C][C]0.5883[/C][C]0.279049[/C][/ROW]
[ROW][C]32[/C][C]0.03268[/C][C]0.2811[/C][C]0.3897[/C][/ROW]
[ROW][C]33[/C][C]-0.02744[/C][C]-0.2361[/C][C]0.592977[/C][/ROW]
[ROW][C]34[/C][C]-0.153459[/C][C]-1.3201[/C][C]0.904566[/C][/ROW]
[ROW][C]35[/C][C]-0.243152[/C][C]-2.0917[/C][C]0.98005[/C][/ROW]
[ROW][C]36[/C][C]-0.297456[/C][C]-2.5588[/C][C]0.993727[/C][/ROW]
[ROW][C]37[/C][C]-0.262322[/C][C]-2.2566[/C][C]0.986506[/C][/ROW]
[ROW][C]38[/C][C]-0.156973[/C][C]-1.3503[/C][C]0.909487[/C][/ROW]
[ROW][C]39[/C][C]-0.057184[/C][C]-0.4919[/C][C]0.687883[/C][/ROW]
[ROW][C]40[/C][C]0.026174[/C][C]0.2252[/C][C]0.41124[/C][/ROW]
[ROW][C]41[/C][C]0.020166[/C][C]0.1735[/C][C]0.431376[/C][/ROW]
[ROW][C]42[/C][C]-0.005637[/C][C]-0.0485[/C][C]0.519273[/C][/ROW]
[ROW][C]43[/C][C]-0.046556[/C][C]-0.4005[/C][C]0.655026[/C][/ROW]
[ROW][C]44[/C][C]-0.025501[/C][C]-0.2194[/C][C]0.586516[/C][/ROW]
[ROW][C]45[/C][C]0.020129[/C][C]0.1732[/C][C]0.431499[/C][/ROW]
[ROW][C]46[/C][C]0.091505[/C][C]0.7872[/C][C]0.216852[/C][/ROW]
[ROW][C]47[/C][C]0.13131[/C][C]1.1296[/C][C]0.131153[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4212&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4212&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	8.6023	0
1	0.814351	7.0053	0
2	0.561333	4.8288	4e-06
3	0.259687	2.2339	0.014255
4	0.122503	1.0538	0.147699
5	0.06302	0.5421	0.294683
6	0.066204	0.5695	0.285367
7	0.061807	0.5317	0.29827
8	0.001983	0.0171	0.493218
9	-0.129708	-1.1158	0.865939
10	-0.349727	-3.0085	0.998206
11	-0.53103	-4.5681	0.99999
12	-0.611281	-5.2584	0.999999
13	-0.507901	-4.3691	0.99998
14	-0.343366	-2.9537	0.997897
15	-0.165301	-1.422	0.920382
16	-0.092956	-0.7996	0.786759
17	-0.067377	-0.5796	0.718027
18	-0.091515	-0.7872	0.783172
19	-0.115808	-0.9962	0.838804
20	-0.095521	-0.8217	0.793057
21	-0.010107	-0.0869	0.534526
22	0.145421	1.251	0.107445
23	0.313785	2.6993	0.004303
24	0.394577	3.3943	0.000554
25	0.370327	3.1857	0.001057
26	0.262689	2.2597	0.013391
27	0.135745	1.1677	0.123333
28	0.048514	0.4173	0.338822
29	0.029587	0.2545	0.399901
30	0.040072	0.3447	0.365645
31	0.068393	0.5883	0.279049
32	0.03268	0.2811	0.3897
33	-0.02744	-0.2361	0.592977
34	-0.153459	-1.3201	0.904566
35	-0.243152	-2.0917	0.98005
36	-0.297456	-2.5588	0.993727
37	-0.262322	-2.2566	0.986506
38	-0.156973	-1.3503	0.909487
39	-0.057184	-0.4919	0.687883
40	0.026174	0.2252	0.41124
41	0.020166	0.1735	0.431376
42	-0.005637	-0.0485	0.519273
43	-0.046556	-0.4005	0.655026
44	-0.025501	-0.2194	0.586516
45	0.020129	0.1732	0.431499
46	0.091505	0.7872	0.216852
47	0.13131	1.1296	0.131153

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.814351	7.0053	0
1	-0.302332	-2.6008	0.994387
2	-0.292223	-2.5138	0.992941
3	0.370644	3.1884	0.001049
4	-0.025325	-0.2179	0.585928
5	-0.142569	-1.2264	0.888036
6	0.078453	0.6749	0.250928
7	-0.186469	-1.6041	0.943521
8	-0.277587	-2.3879	0.990251
9	-0.327214	-2.8148	0.996875
10	-0.042595	-0.3664	0.642449
11	0.045634	0.3926	0.347888
12	0.128792	1.1079	0.135745
13	-0.049167	-0.423	0.663221
14	0.045044	0.3875	0.349757
15	-0.049266	-0.4238	0.663531
16	0.030424	0.2617	0.397134
17	0.002206	0.019	0.492455
18	-0.167744	-1.443	0.923378
19	0.009539	0.0821	0.46741
20	0.022659	0.1949	0.422994
21	-0.014627	-0.1258	0.549895
22	0.208854	1.7966	0.038237
23	-0.073408	-0.6315	0.735164
24	0.021578	0.1856	0.426626
25	0.041683	0.3586	0.36047
26	-0.16717	-1.4381	0.922682
27	-0.016672	-0.1434	0.556823
28	0.110112	0.9472	0.173306
29	-0.225628	-1.9409	0.971962
30	0.040914	0.352	0.362935
31	-0.112738	-0.9698	0.83235
32	0.088647	0.7626	0.224071
33	0.040977	0.3525	0.362734
34	-0.007491	-0.0644	0.525604
35	0.048494	0.4172	0.338885
36	0.015348	0.132	0.447659
37	0.045632	0.3925	0.347894
38	-0.027635	-0.2377	0.593623
39	-0.002907	-0.025	0.509943
40	-0.083886	-0.7216	0.763596
41	-0.017692	-0.1522	0.560276
42	0.01429	0.1229	0.451251
43	0.014106	0.1213	0.451873
44	0.051521	0.4432	0.329458
45	-0.164374	-1.414	0.919223
46	0.031112	0.2676	0.394861
47	0.041282	0.3551	0.361753

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.814351 & 7.0053 & 0 \tabularnewline
1 & -0.302332 & -2.6008 & 0.994387 \tabularnewline
2 & -0.292223 & -2.5138 & 0.992941 \tabularnewline
3 & 0.370644 & 3.1884 & 0.001049 \tabularnewline
4 & -0.025325 & -0.2179 & 0.585928 \tabularnewline
5 & -0.142569 & -1.2264 & 0.888036 \tabularnewline
6 & 0.078453 & 0.6749 & 0.250928 \tabularnewline
7 & -0.186469 & -1.6041 & 0.943521 \tabularnewline
8 & -0.277587 & -2.3879 & 0.990251 \tabularnewline
9 & -0.327214 & -2.8148 & 0.996875 \tabularnewline
10 & -0.042595 & -0.3664 & 0.642449 \tabularnewline
11 & 0.045634 & 0.3926 & 0.347888 \tabularnewline
12 & 0.128792 & 1.1079 & 0.135745 \tabularnewline
13 & -0.049167 & -0.423 & 0.663221 \tabularnewline
14 & 0.045044 & 0.3875 & 0.349757 \tabularnewline
15 & -0.049266 & -0.4238 & 0.663531 \tabularnewline
16 & 0.030424 & 0.2617 & 0.397134 \tabularnewline
17 & 0.002206 & 0.019 & 0.492455 \tabularnewline
18 & -0.167744 & -1.443 & 0.923378 \tabularnewline
19 & 0.009539 & 0.0821 & 0.46741 \tabularnewline
20 & 0.022659 & 0.1949 & 0.422994 \tabularnewline
21 & -0.014627 & -0.1258 & 0.549895 \tabularnewline
22 & 0.208854 & 1.7966 & 0.038237 \tabularnewline
23 & -0.073408 & -0.6315 & 0.735164 \tabularnewline
24 & 0.021578 & 0.1856 & 0.426626 \tabularnewline
25 & 0.041683 & 0.3586 & 0.36047 \tabularnewline
26 & -0.16717 & -1.4381 & 0.922682 \tabularnewline
27 & -0.016672 & -0.1434 & 0.556823 \tabularnewline
28 & 0.110112 & 0.9472 & 0.173306 \tabularnewline
29 & -0.225628 & -1.9409 & 0.971962 \tabularnewline
30 & 0.040914 & 0.352 & 0.362935 \tabularnewline
31 & -0.112738 & -0.9698 & 0.83235 \tabularnewline
32 & 0.088647 & 0.7626 & 0.224071 \tabularnewline
33 & 0.040977 & 0.3525 & 0.362734 \tabularnewline
34 & -0.007491 & -0.0644 & 0.525604 \tabularnewline
35 & 0.048494 & 0.4172 & 0.338885 \tabularnewline
36 & 0.015348 & 0.132 & 0.447659 \tabularnewline
37 & 0.045632 & 0.3925 & 0.347894 \tabularnewline
38 & -0.027635 & -0.2377 & 0.593623 \tabularnewline
39 & -0.002907 & -0.025 & 0.509943 \tabularnewline
40 & -0.083886 & -0.7216 & 0.763596 \tabularnewline
41 & -0.017692 & -0.1522 & 0.560276 \tabularnewline
42 & 0.01429 & 0.1229 & 0.451251 \tabularnewline
43 & 0.014106 & 0.1213 & 0.451873 \tabularnewline
44 & 0.051521 & 0.4432 & 0.329458 \tabularnewline
45 & -0.164374 & -1.414 & 0.919223 \tabularnewline
46 & 0.031112 & 0.2676 & 0.394861 \tabularnewline
47 & 0.041282 & 0.3551 & 0.361753 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4212&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]0.814351[/C][C]7.0053[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.302332[/C][C]-2.6008[/C][C]0.994387[/C][/ROW]
[ROW][C]2[/C][C]-0.292223[/C][C]-2.5138[/C][C]0.992941[/C][/ROW]
[ROW][C]3[/C][C]0.370644[/C][C]3.1884[/C][C]0.001049[/C][/ROW]
[ROW][C]4[/C][C]-0.025325[/C][C]-0.2179[/C][C]0.585928[/C][/ROW]
[ROW][C]5[/C][C]-0.142569[/C][C]-1.2264[/C][C]0.888036[/C][/ROW]
[ROW][C]6[/C][C]0.078453[/C][C]0.6749[/C][C]0.250928[/C][/ROW]
[ROW][C]7[/C][C]-0.186469[/C][C]-1.6041[/C][C]0.943521[/C][/ROW]
[ROW][C]8[/C][C]-0.277587[/C][C]-2.3879[/C][C]0.990251[/C][/ROW]
[ROW][C]9[/C][C]-0.327214[/C][C]-2.8148[/C][C]0.996875[/C][/ROW]
[ROW][C]10[/C][C]-0.042595[/C][C]-0.3664[/C][C]0.642449[/C][/ROW]
[ROW][C]11[/C][C]0.045634[/C][C]0.3926[/C][C]0.347888[/C][/ROW]
[ROW][C]12[/C][C]0.128792[/C][C]1.1079[/C][C]0.135745[/C][/ROW]
[ROW][C]13[/C][C]-0.049167[/C][C]-0.423[/C][C]0.663221[/C][/ROW]
[ROW][C]14[/C][C]0.045044[/C][C]0.3875[/C][C]0.349757[/C][/ROW]
[ROW][C]15[/C][C]-0.049266[/C][C]-0.4238[/C][C]0.663531[/C][/ROW]
[ROW][C]16[/C][C]0.030424[/C][C]0.2617[/C][C]0.397134[/C][/ROW]
[ROW][C]17[/C][C]0.002206[/C][C]0.019[/C][C]0.492455[/C][/ROW]
[ROW][C]18[/C][C]-0.167744[/C][C]-1.443[/C][C]0.923378[/C][/ROW]
[ROW][C]19[/C][C]0.009539[/C][C]0.0821[/C][C]0.46741[/C][/ROW]
[ROW][C]20[/C][C]0.022659[/C][C]0.1949[/C][C]0.422994[/C][/ROW]
[ROW][C]21[/C][C]-0.014627[/C][C]-0.1258[/C][C]0.549895[/C][/ROW]
[ROW][C]22[/C][C]0.208854[/C][C]1.7966[/C][C]0.038237[/C][/ROW]
[ROW][C]23[/C][C]-0.073408[/C][C]-0.6315[/C][C]0.735164[/C][/ROW]
[ROW][C]24[/C][C]0.021578[/C][C]0.1856[/C][C]0.426626[/C][/ROW]
[ROW][C]25[/C][C]0.041683[/C][C]0.3586[/C][C]0.36047[/C][/ROW]
[ROW][C]26[/C][C]-0.16717[/C][C]-1.4381[/C][C]0.922682[/C][/ROW]
[ROW][C]27[/C][C]-0.016672[/C][C]-0.1434[/C][C]0.556823[/C][/ROW]
[ROW][C]28[/C][C]0.110112[/C][C]0.9472[/C][C]0.173306[/C][/ROW]
[ROW][C]29[/C][C]-0.225628[/C][C]-1.9409[/C][C]0.971962[/C][/ROW]
[ROW][C]30[/C][C]0.040914[/C][C]0.352[/C][C]0.362935[/C][/ROW]
[ROW][C]31[/C][C]-0.112738[/C][C]-0.9698[/C][C]0.83235[/C][/ROW]
[ROW][C]32[/C][C]0.088647[/C][C]0.7626[/C][C]0.224071[/C][/ROW]
[ROW][C]33[/C][C]0.040977[/C][C]0.3525[/C][C]0.362734[/C][/ROW]
[ROW][C]34[/C][C]-0.007491[/C][C]-0.0644[/C][C]0.525604[/C][/ROW]
[ROW][C]35[/C][C]0.048494[/C][C]0.4172[/C][C]0.338885[/C][/ROW]
[ROW][C]36[/C][C]0.015348[/C][C]0.132[/C][C]0.447659[/C][/ROW]
[ROW][C]37[/C][C]0.045632[/C][C]0.3925[/C][C]0.347894[/C][/ROW]
[ROW][C]38[/C][C]-0.027635[/C][C]-0.2377[/C][C]0.593623[/C][/ROW]
[ROW][C]39[/C][C]-0.002907[/C][C]-0.025[/C][C]0.509943[/C][/ROW]
[ROW][C]40[/C][C]-0.083886[/C][C]-0.7216[/C][C]0.763596[/C][/ROW]
[ROW][C]41[/C][C]-0.017692[/C][C]-0.1522[/C][C]0.560276[/C][/ROW]
[ROW][C]42[/C][C]0.01429[/C][C]0.1229[/C][C]0.451251[/C][/ROW]
[ROW][C]43[/C][C]0.014106[/C][C]0.1213[/C][C]0.451873[/C][/ROW]
[ROW][C]44[/C][C]0.051521[/C][C]0.4432[/C][C]0.329458[/C][/ROW]
[ROW][C]45[/C][C]-0.164374[/C][C]-1.414[/C][C]0.919223[/C][/ROW]
[ROW][C]46[/C][C]0.031112[/C][C]0.2676[/C][C]0.394861[/C][/ROW]
[ROW][C]47[/C][C]0.041282[/C][C]0.3551[/C][C]0.361753[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4212&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4212&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	0.814351	7.0053	0
1	-0.302332	-2.6008	0.994387
2	-0.292223	-2.5138	0.992941
3	0.370644	3.1884	0.001049
4	-0.025325	-0.2179	0.585928
5	-0.142569	-1.2264	0.888036
6	0.078453	0.6749	0.250928
7	-0.186469	-1.6041	0.943521
8	-0.277587	-2.3879	0.990251
9	-0.327214	-2.8148	0.996875
10	-0.042595	-0.3664	0.642449
11	0.045634	0.3926	0.347888
12	0.128792	1.1079	0.135745
13	-0.049167	-0.423	0.663221
14	0.045044	0.3875	0.349757
15	-0.049266	-0.4238	0.663531
16	0.030424	0.2617	0.397134
17	0.002206	0.019	0.492455
18	-0.167744	-1.443	0.923378
19	0.009539	0.0821	0.46741
20	0.022659	0.1949	0.422994
21	-0.014627	-0.1258	0.549895
22	0.208854	1.7966	0.038237
23	-0.073408	-0.6315	0.735164
24	0.021578	0.1856	0.426626
25	0.041683	0.3586	0.36047
26	-0.16717	-1.4381	0.922682
27	-0.016672	-0.1434	0.556823
28	0.110112	0.9472	0.173306
29	-0.225628	-1.9409	0.971962
30	0.040914	0.352	0.362935
31	-0.112738	-0.9698	0.83235
32	0.088647	0.7626	0.224071
33	0.040977	0.3525	0.362734
34	-0.007491	-0.0644	0.525604
35	0.048494	0.4172	0.338885
36	0.015348	0.132	0.447659
37	0.045632	0.3925	0.347894
38	-0.027635	-0.2377	0.593623
39	-0.002907	-0.025	0.509943
40	-0.083886	-0.7216	0.763596
41	-0.017692	-0.1522	0.560276
42	0.01429	0.1229	0.451251
43	0.014106	0.1213	0.451873
44	0.051521	0.4432	0.329458
45	-0.164374	-1.414	0.919223
46	0.031112	0.2676	0.394861
47	0.041282	0.3551	0.361753

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 = 1.0 ; par3 = 0 ; 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