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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 26 Nov 2009 03:58:37 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/26/t125923317398b8uuaiowyg12q.htm/, Retrieved Sun, 28 Apr 2024 23:01:52 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59818, Retrieved Sun, 28 Apr 2024 23:01:52 +0000

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User-defined keywords

Estimated Impact

121

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       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-   PD        [(Partial) Autocorrelation Function] [] [2009-11-26 10:07:32] [ee35698a38947a6c6c039b1e3deafc05]
-   P             [(Partial) Autocorrelation Function] [] [2009-11-26 10:58:37] [791a4a78a0a7ca497fb8791b982a539e] [Current]
-   P               [(Partial) Autocorrelation Function] [] [2009-11-26 11:00:40] [ee35698a38947a6c6c039b1e3deafc05] 

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59818&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59818&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59818&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.182451	1.2641	0.106156
2	0.103207	0.715	0.239024
3	0.097444	0.6751	0.251422
4	-0.01643	-0.1138	0.454922
5	0.249572	1.7291	0.045111
6	0.112672	0.7806	0.219432
7	-0.146039	-1.0118	0.158357
8	0.095642	0.6626	0.255369
9	-0.080604	-0.5584	0.28957
10	-0.048993	-0.3394	0.367882
11	0.035825	0.2482	0.402518
12	-0.273742	-1.8965	0.031958
13	-0.077179	-0.5347	0.297658
14	0.045553	0.3156	0.376838
15	-0.048115	-0.3333	0.370162
16	-0.037904	-0.2626	0.39699
17	-0.189707	-1.3143	0.097491
18	-0.237971	-1.6487	0.052869
19	-0.01486	-0.1029	0.459216
20	-0.116356	-0.8061	0.212069
21	-0.065111	-0.4511	0.326975
22	-0.150085	-1.0398	0.151817
23	-0.146793	-1.017	0.157123
24	-0.092271	-0.6393	0.262842
25	0.012148	0.0842	0.466637
26	-0.005236	-0.0363	0.485605
27	0.092578	0.6414	0.262157
28	0.089485	0.62	0.269106
29	-0.018277	-0.1266	0.449882
30	-0.026187	-0.1814	0.428398
31	-0.04827	-0.3344	0.369758
32	0.012075	0.0837	0.466838
33	0.005788	0.0401	0.48409
34	0.043602	0.3021	0.381947
35	0.040692	0.2819	0.389607
36	0.037132	0.2573	0.399039
37	-0.02394	-0.1659	0.434482
38	-0.013435	-0.0931	0.463112
39	-0.030745	-0.213	0.416111
40	0.032398	0.2245	0.411675
41	0.040972	0.2839	0.388868
42	0.05025	0.3481	0.364629
43	0.028786	0.1994	0.421382
44	0.018244	0.1264	0.449971
45	-0.003545	-0.0246	0.490254
46	-0.007377	-0.0511	0.479725
47	-0.007346	-0.0509	0.479809
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.182451 & 1.2641 & 0.106156 \tabularnewline
2 & 0.103207 & 0.715 & 0.239024 \tabularnewline
3 & 0.097444 & 0.6751 & 0.251422 \tabularnewline
4 & -0.01643 & -0.1138 & 0.454922 \tabularnewline
5 & 0.249572 & 1.7291 & 0.045111 \tabularnewline
6 & 0.112672 & 0.7806 & 0.219432 \tabularnewline
7 & -0.146039 & -1.0118 & 0.158357 \tabularnewline
8 & 0.095642 & 0.6626 & 0.255369 \tabularnewline
9 & -0.080604 & -0.5584 & 0.28957 \tabularnewline
10 & -0.048993 & -0.3394 & 0.367882 \tabularnewline
11 & 0.035825 & 0.2482 & 0.402518 \tabularnewline
12 & -0.273742 & -1.8965 & 0.031958 \tabularnewline
13 & -0.077179 & -0.5347 & 0.297658 \tabularnewline
14 & 0.045553 & 0.3156 & 0.376838 \tabularnewline
15 & -0.048115 & -0.3333 & 0.370162 \tabularnewline
16 & -0.037904 & -0.2626 & 0.39699 \tabularnewline
17 & -0.189707 & -1.3143 & 0.097491 \tabularnewline
18 & -0.237971 & -1.6487 & 0.052869 \tabularnewline
19 & -0.01486 & -0.1029 & 0.459216 \tabularnewline
20 & -0.116356 & -0.8061 & 0.212069 \tabularnewline
21 & -0.065111 & -0.4511 & 0.326975 \tabularnewline
22 & -0.150085 & -1.0398 & 0.151817 \tabularnewline
23 & -0.146793 & -1.017 & 0.157123 \tabularnewline
24 & -0.092271 & -0.6393 & 0.262842 \tabularnewline
25 & 0.012148 & 0.0842 & 0.466637 \tabularnewline
26 & -0.005236 & -0.0363 & 0.485605 \tabularnewline
27 & 0.092578 & 0.6414 & 0.262157 \tabularnewline
28 & 0.089485 & 0.62 & 0.269106 \tabularnewline
29 & -0.018277 & -0.1266 & 0.449882 \tabularnewline
30 & -0.026187 & -0.1814 & 0.428398 \tabularnewline
31 & -0.04827 & -0.3344 & 0.369758 \tabularnewline
32 & 0.012075 & 0.0837 & 0.466838 \tabularnewline
33 & 0.005788 & 0.0401 & 0.48409 \tabularnewline
34 & 0.043602 & 0.3021 & 0.381947 \tabularnewline
35 & 0.040692 & 0.2819 & 0.389607 \tabularnewline
36 & 0.037132 & 0.2573 & 0.399039 \tabularnewline
37 & -0.02394 & -0.1659 & 0.434482 \tabularnewline
38 & -0.013435 & -0.0931 & 0.463112 \tabularnewline
39 & -0.030745 & -0.213 & 0.416111 \tabularnewline
40 & 0.032398 & 0.2245 & 0.411675 \tabularnewline
41 & 0.040972 & 0.2839 & 0.388868 \tabularnewline
42 & 0.05025 & 0.3481 & 0.364629 \tabularnewline
43 & 0.028786 & 0.1994 & 0.421382 \tabularnewline
44 & 0.018244 & 0.1264 & 0.449971 \tabularnewline
45 & -0.003545 & -0.0246 & 0.490254 \tabularnewline
46 & -0.007377 & -0.0511 & 0.479725 \tabularnewline
47 & -0.007346 & -0.0509 & 0.479809 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59818&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]0.182451[/C][C]1.2641[/C][C]0.106156[/C][/ROW]
[ROW][C]2[/C][C]0.103207[/C][C]0.715[/C][C]0.239024[/C][/ROW]
[ROW][C]3[/C][C]0.097444[/C][C]0.6751[/C][C]0.251422[/C][/ROW]
[ROW][C]4[/C][C]-0.01643[/C][C]-0.1138[/C][C]0.454922[/C][/ROW]
[ROW][C]5[/C][C]0.249572[/C][C]1.7291[/C][C]0.045111[/C][/ROW]
[ROW][C]6[/C][C]0.112672[/C][C]0.7806[/C][C]0.219432[/C][/ROW]
[ROW][C]7[/C][C]-0.146039[/C][C]-1.0118[/C][C]0.158357[/C][/ROW]
[ROW][C]8[/C][C]0.095642[/C][C]0.6626[/C][C]0.255369[/C][/ROW]
[ROW][C]9[/C][C]-0.080604[/C][C]-0.5584[/C][C]0.28957[/C][/ROW]
[ROW][C]10[/C][C]-0.048993[/C][C]-0.3394[/C][C]0.367882[/C][/ROW]
[ROW][C]11[/C][C]0.035825[/C][C]0.2482[/C][C]0.402518[/C][/ROW]
[ROW][C]12[/C][C]-0.273742[/C][C]-1.8965[/C][C]0.031958[/C][/ROW]
[ROW][C]13[/C][C]-0.077179[/C][C]-0.5347[/C][C]0.297658[/C][/ROW]
[ROW][C]14[/C][C]0.045553[/C][C]0.3156[/C][C]0.376838[/C][/ROW]
[ROW][C]15[/C][C]-0.048115[/C][C]-0.3333[/C][C]0.370162[/C][/ROW]
[ROW][C]16[/C][C]-0.037904[/C][C]-0.2626[/C][C]0.39699[/C][/ROW]
[ROW][C]17[/C][C]-0.189707[/C][C]-1.3143[/C][C]0.097491[/C][/ROW]
[ROW][C]18[/C][C]-0.237971[/C][C]-1.6487[/C][C]0.052869[/C][/ROW]
[ROW][C]19[/C][C]-0.01486[/C][C]-0.1029[/C][C]0.459216[/C][/ROW]
[ROW][C]20[/C][C]-0.116356[/C][C]-0.8061[/C][C]0.212069[/C][/ROW]
[ROW][C]21[/C][C]-0.065111[/C][C]-0.4511[/C][C]0.326975[/C][/ROW]
[ROW][C]22[/C][C]-0.150085[/C][C]-1.0398[/C][C]0.151817[/C][/ROW]
[ROW][C]23[/C][C]-0.146793[/C][C]-1.017[/C][C]0.157123[/C][/ROW]
[ROW][C]24[/C][C]-0.092271[/C][C]-0.6393[/C][C]0.262842[/C][/ROW]
[ROW][C]25[/C][C]0.012148[/C][C]0.0842[/C][C]0.466637[/C][/ROW]
[ROW][C]26[/C][C]-0.005236[/C][C]-0.0363[/C][C]0.485605[/C][/ROW]
[ROW][C]27[/C][C]0.092578[/C][C]0.6414[/C][C]0.262157[/C][/ROW]
[ROW][C]28[/C][C]0.089485[/C][C]0.62[/C][C]0.269106[/C][/ROW]
[ROW][C]29[/C][C]-0.018277[/C][C]-0.1266[/C][C]0.449882[/C][/ROW]
[ROW][C]30[/C][C]-0.026187[/C][C]-0.1814[/C][C]0.428398[/C][/ROW]
[ROW][C]31[/C][C]-0.04827[/C][C]-0.3344[/C][C]0.369758[/C][/ROW]
[ROW][C]32[/C][C]0.012075[/C][C]0.0837[/C][C]0.466838[/C][/ROW]
[ROW][C]33[/C][C]0.005788[/C][C]0.0401[/C][C]0.48409[/C][/ROW]
[ROW][C]34[/C][C]0.043602[/C][C]0.3021[/C][C]0.381947[/C][/ROW]
[ROW][C]35[/C][C]0.040692[/C][C]0.2819[/C][C]0.389607[/C][/ROW]
[ROW][C]36[/C][C]0.037132[/C][C]0.2573[/C][C]0.399039[/C][/ROW]
[ROW][C]37[/C][C]-0.02394[/C][C]-0.1659[/C][C]0.434482[/C][/ROW]
[ROW][C]38[/C][C]-0.013435[/C][C]-0.0931[/C][C]0.463112[/C][/ROW]
[ROW][C]39[/C][C]-0.030745[/C][C]-0.213[/C][C]0.416111[/C][/ROW]
[ROW][C]40[/C][C]0.032398[/C][C]0.2245[/C][C]0.411675[/C][/ROW]
[ROW][C]41[/C][C]0.040972[/C][C]0.2839[/C][C]0.388868[/C][/ROW]
[ROW][C]42[/C][C]0.05025[/C][C]0.3481[/C][C]0.364629[/C][/ROW]
[ROW][C]43[/C][C]0.028786[/C][C]0.1994[/C][C]0.421382[/C][/ROW]
[ROW][C]44[/C][C]0.018244[/C][C]0.1264[/C][C]0.449971[/C][/ROW]
[ROW][C]45[/C][C]-0.003545[/C][C]-0.0246[/C][C]0.490254[/C][/ROW]
[ROW][C]46[/C][C]-0.007377[/C][C]-0.0511[/C][C]0.479725[/C][/ROW]
[ROW][C]47[/C][C]-0.007346[/C][C]-0.0509[/C][C]0.479809[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59818&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59818&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	0.182451	1.2641	0.106156
2	0.103207	0.715	0.239024
3	0.097444	0.6751	0.251422
4	-0.01643	-0.1138	0.454922
5	0.249572	1.7291	0.045111
6	0.112672	0.7806	0.219432
7	-0.146039	-1.0118	0.158357
8	0.095642	0.6626	0.255369
9	-0.080604	-0.5584	0.28957
10	-0.048993	-0.3394	0.367882
11	0.035825	0.2482	0.402518
12	-0.273742	-1.8965	0.031958
13	-0.077179	-0.5347	0.297658
14	0.045553	0.3156	0.376838
15	-0.048115	-0.3333	0.370162
16	-0.037904	-0.2626	0.39699
17	-0.189707	-1.3143	0.097491
18	-0.237971	-1.6487	0.052869
19	-0.01486	-0.1029	0.459216
20	-0.116356	-0.8061	0.212069
21	-0.065111	-0.4511	0.326975
22	-0.150085	-1.0398	0.151817
23	-0.146793	-1.017	0.157123
24	-0.092271	-0.6393	0.262842
25	0.012148	0.0842	0.466637
26	-0.005236	-0.0363	0.485605
27	0.092578	0.6414	0.262157
28	0.089485	0.62	0.269106
29	-0.018277	-0.1266	0.449882
30	-0.026187	-0.1814	0.428398
31	-0.04827	-0.3344	0.369758
32	0.012075	0.0837	0.466838
33	0.005788	0.0401	0.48409
34	0.043602	0.3021	0.381947
35	0.040692	0.2819	0.389607
36	0.037132	0.2573	0.399039
37	-0.02394	-0.1659	0.434482
38	-0.013435	-0.0931	0.463112
39	-0.030745	-0.213	0.416111
40	0.032398	0.2245	0.411675
41	0.040972	0.2839	0.388868
42	0.05025	0.3481	0.364629
43	0.028786	0.1994	0.421382
44	0.018244	0.1264	0.449971
45	-0.003545	-0.0246	0.490254
46	-0.007377	-0.0511	0.479725
47	-0.007346	-0.0509	0.479809
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.182451	1.2641	0.106156
2	0.072326	0.5011	0.309299
3	0.069442	0.4811	0.316312
4	-0.053662	-0.3718	0.355846
5	0.259705	1.7993	0.03913
6	0.027685	0.1918	0.424352
7	-0.222673	-1.5427	0.064733
8	0.127206	0.8813	0.19127
9	-0.081253	-0.5629	0.288048
10	-0.085419	-0.5918	0.27838
11	0.008956	0.0621	0.47539
12	-0.199607	-1.3829	0.086545
13	-0.018983	-0.1315	0.447958
14	0.109233	0.7568	0.226438
15	0.03044	0.2109	0.41693
16	-0.135454	-0.9385	0.176356
17	-0.076655	-0.5311	0.298906
18	-0.110735	-0.7672	0.223362
19	-0.059325	-0.411	0.341445
20	-0.056605	-0.3922	0.348335
21	-0.001286	-0.0089	0.496464
22	-0.156554	-1.0846	0.14175
23	0.012774	0.0885	0.464923
24	-0.102787	-0.7121	0.239917
25	0.036794	0.2549	0.399937
26	0.072252	0.5006	0.309479
27	0.125084	0.8666	0.195234
28	0.067568	0.4681	0.320908
29	-0.151629	-1.0505	0.149371
30	-0.131619	-0.9119	0.183194
31	-0.090022	-0.6237	0.267891
32	0.00245	0.017	0.493265
33	-0.091248	-0.6322	0.265132
34	0.018131	0.1256	0.450281
35	0.042299	0.2931	0.385371
36	-0.027864	-0.193	0.423868
37	-0.025153	-0.1743	0.431196
38	-0.009573	-0.0663	0.473698
39	-0.062657	-0.4341	0.333081
40	-0.021866	-0.1515	0.440113
41	-0.04448	-0.3082	0.379646
42	-0.094767	-0.6566	0.257297
43	-0.002715	-0.0188	0.492536
44	0.070359	0.4875	0.314075
45	0.022795	0.1579	0.437587
46	-0.053577	-0.3712	0.356064
47	-0.001999	-0.0139	0.494503
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.182451 & 1.2641 & 0.106156 \tabularnewline
2 & 0.072326 & 0.5011 & 0.309299 \tabularnewline
3 & 0.069442 & 0.4811 & 0.316312 \tabularnewline
4 & -0.053662 & -0.3718 & 0.355846 \tabularnewline
5 & 0.259705 & 1.7993 & 0.03913 \tabularnewline
6 & 0.027685 & 0.1918 & 0.424352 \tabularnewline
7 & -0.222673 & -1.5427 & 0.064733 \tabularnewline
8 & 0.127206 & 0.8813 & 0.19127 \tabularnewline
9 & -0.081253 & -0.5629 & 0.288048 \tabularnewline
10 & -0.085419 & -0.5918 & 0.27838 \tabularnewline
11 & 0.008956 & 0.0621 & 0.47539 \tabularnewline
12 & -0.199607 & -1.3829 & 0.086545 \tabularnewline
13 & -0.018983 & -0.1315 & 0.447958 \tabularnewline
14 & 0.109233 & 0.7568 & 0.226438 \tabularnewline
15 & 0.03044 & 0.2109 & 0.41693 \tabularnewline
16 & -0.135454 & -0.9385 & 0.176356 \tabularnewline
17 & -0.076655 & -0.5311 & 0.298906 \tabularnewline
18 & -0.110735 & -0.7672 & 0.223362 \tabularnewline
19 & -0.059325 & -0.411 & 0.341445 \tabularnewline
20 & -0.056605 & -0.3922 & 0.348335 \tabularnewline
21 & -0.001286 & -0.0089 & 0.496464 \tabularnewline
22 & -0.156554 & -1.0846 & 0.14175 \tabularnewline
23 & 0.012774 & 0.0885 & 0.464923 \tabularnewline
24 & -0.102787 & -0.7121 & 0.239917 \tabularnewline
25 & 0.036794 & 0.2549 & 0.399937 \tabularnewline
26 & 0.072252 & 0.5006 & 0.309479 \tabularnewline
27 & 0.125084 & 0.8666 & 0.195234 \tabularnewline
28 & 0.067568 & 0.4681 & 0.320908 \tabularnewline
29 & -0.151629 & -1.0505 & 0.149371 \tabularnewline
30 & -0.131619 & -0.9119 & 0.183194 \tabularnewline
31 & -0.090022 & -0.6237 & 0.267891 \tabularnewline
32 & 0.00245 & 0.017 & 0.493265 \tabularnewline
33 & -0.091248 & -0.6322 & 0.265132 \tabularnewline
34 & 0.018131 & 0.1256 & 0.450281 \tabularnewline
35 & 0.042299 & 0.2931 & 0.385371 \tabularnewline
36 & -0.027864 & -0.193 & 0.423868 \tabularnewline
37 & -0.025153 & -0.1743 & 0.431196 \tabularnewline
38 & -0.009573 & -0.0663 & 0.473698 \tabularnewline
39 & -0.062657 & -0.4341 & 0.333081 \tabularnewline
40 & -0.021866 & -0.1515 & 0.440113 \tabularnewline
41 & -0.04448 & -0.3082 & 0.379646 \tabularnewline
42 & -0.094767 & -0.6566 & 0.257297 \tabularnewline
43 & -0.002715 & -0.0188 & 0.492536 \tabularnewline
44 & 0.070359 & 0.4875 & 0.314075 \tabularnewline
45 & 0.022795 & 0.1579 & 0.437587 \tabularnewline
46 & -0.053577 & -0.3712 & 0.356064 \tabularnewline
47 & -0.001999 & -0.0139 & 0.494503 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59818&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]0.182451[/C][C]1.2641[/C][C]0.106156[/C][/ROW]
[ROW][C]2[/C][C]0.072326[/C][C]0.5011[/C][C]0.309299[/C][/ROW]
[ROW][C]3[/C][C]0.069442[/C][C]0.4811[/C][C]0.316312[/C][/ROW]
[ROW][C]4[/C][C]-0.053662[/C][C]-0.3718[/C][C]0.355846[/C][/ROW]
[ROW][C]5[/C][C]0.259705[/C][C]1.7993[/C][C]0.03913[/C][/ROW]
[ROW][C]6[/C][C]0.027685[/C][C]0.1918[/C][C]0.424352[/C][/ROW]
[ROW][C]7[/C][C]-0.222673[/C][C]-1.5427[/C][C]0.064733[/C][/ROW]
[ROW][C]8[/C][C]0.127206[/C][C]0.8813[/C][C]0.19127[/C][/ROW]
[ROW][C]9[/C][C]-0.081253[/C][C]-0.5629[/C][C]0.288048[/C][/ROW]
[ROW][C]10[/C][C]-0.085419[/C][C]-0.5918[/C][C]0.27838[/C][/ROW]
[ROW][C]11[/C][C]0.008956[/C][C]0.0621[/C][C]0.47539[/C][/ROW]
[ROW][C]12[/C][C]-0.199607[/C][C]-1.3829[/C][C]0.086545[/C][/ROW]
[ROW][C]13[/C][C]-0.018983[/C][C]-0.1315[/C][C]0.447958[/C][/ROW]
[ROW][C]14[/C][C]0.109233[/C][C]0.7568[/C][C]0.226438[/C][/ROW]
[ROW][C]15[/C][C]0.03044[/C][C]0.2109[/C][C]0.41693[/C][/ROW]
[ROW][C]16[/C][C]-0.135454[/C][C]-0.9385[/C][C]0.176356[/C][/ROW]
[ROW][C]17[/C][C]-0.076655[/C][C]-0.5311[/C][C]0.298906[/C][/ROW]
[ROW][C]18[/C][C]-0.110735[/C][C]-0.7672[/C][C]0.223362[/C][/ROW]
[ROW][C]19[/C][C]-0.059325[/C][C]-0.411[/C][C]0.341445[/C][/ROW]
[ROW][C]20[/C][C]-0.056605[/C][C]-0.3922[/C][C]0.348335[/C][/ROW]
[ROW][C]21[/C][C]-0.001286[/C][C]-0.0089[/C][C]0.496464[/C][/ROW]
[ROW][C]22[/C][C]-0.156554[/C][C]-1.0846[/C][C]0.14175[/C][/ROW]
[ROW][C]23[/C][C]0.012774[/C][C]0.0885[/C][C]0.464923[/C][/ROW]
[ROW][C]24[/C][C]-0.102787[/C][C]-0.7121[/C][C]0.239917[/C][/ROW]
[ROW][C]25[/C][C]0.036794[/C][C]0.2549[/C][C]0.399937[/C][/ROW]
[ROW][C]26[/C][C]0.072252[/C][C]0.5006[/C][C]0.309479[/C][/ROW]
[ROW][C]27[/C][C]0.125084[/C][C]0.8666[/C][C]0.195234[/C][/ROW]
[ROW][C]28[/C][C]0.067568[/C][C]0.4681[/C][C]0.320908[/C][/ROW]
[ROW][C]29[/C][C]-0.151629[/C][C]-1.0505[/C][C]0.149371[/C][/ROW]
[ROW][C]30[/C][C]-0.131619[/C][C]-0.9119[/C][C]0.183194[/C][/ROW]
[ROW][C]31[/C][C]-0.090022[/C][C]-0.6237[/C][C]0.267891[/C][/ROW]
[ROW][C]32[/C][C]0.00245[/C][C]0.017[/C][C]0.493265[/C][/ROW]
[ROW][C]33[/C][C]-0.091248[/C][C]-0.6322[/C][C]0.265132[/C][/ROW]
[ROW][C]34[/C][C]0.018131[/C][C]0.1256[/C][C]0.450281[/C][/ROW]
[ROW][C]35[/C][C]0.042299[/C][C]0.2931[/C][C]0.385371[/C][/ROW]
[ROW][C]36[/C][C]-0.027864[/C][C]-0.193[/C][C]0.423868[/C][/ROW]
[ROW][C]37[/C][C]-0.025153[/C][C]-0.1743[/C][C]0.431196[/C][/ROW]
[ROW][C]38[/C][C]-0.009573[/C][C]-0.0663[/C][C]0.473698[/C][/ROW]
[ROW][C]39[/C][C]-0.062657[/C][C]-0.4341[/C][C]0.333081[/C][/ROW]
[ROW][C]40[/C][C]-0.021866[/C][C]-0.1515[/C][C]0.440113[/C][/ROW]
[ROW][C]41[/C][C]-0.04448[/C][C]-0.3082[/C][C]0.379646[/C][/ROW]
[ROW][C]42[/C][C]-0.094767[/C][C]-0.6566[/C][C]0.257297[/C][/ROW]
[ROW][C]43[/C][C]-0.002715[/C][C]-0.0188[/C][C]0.492536[/C][/ROW]
[ROW][C]44[/C][C]0.070359[/C][C]0.4875[/C][C]0.314075[/C][/ROW]
[ROW][C]45[/C][C]0.022795[/C][C]0.1579[/C][C]0.437587[/C][/ROW]
[ROW][C]46[/C][C]-0.053577[/C][C]-0.3712[/C][C]0.356064[/C][/ROW]
[ROW][C]47[/C][C]-0.001999[/C][C]-0.0139[/C][C]0.494503[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59818&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59818&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	0.182451	1.2641	0.106156
2	0.072326	0.5011	0.309299
3	0.069442	0.4811	0.316312
4	-0.053662	-0.3718	0.355846
5	0.259705	1.7993	0.03913
6	0.027685	0.1918	0.424352
7	-0.222673	-1.5427	0.064733
8	0.127206	0.8813	0.19127
9	-0.081253	-0.5629	0.288048
10	-0.085419	-0.5918	0.27838
11	0.008956	0.0621	0.47539
12	-0.199607	-1.3829	0.086545
13	-0.018983	-0.1315	0.447958
14	0.109233	0.7568	0.226438
15	0.03044	0.2109	0.41693
16	-0.135454	-0.9385	0.176356
17	-0.076655	-0.5311	0.298906
18	-0.110735	-0.7672	0.223362
19	-0.059325	-0.411	0.341445
20	-0.056605	-0.3922	0.348335
21	-0.001286	-0.0089	0.496464
22	-0.156554	-1.0846	0.14175
23	0.012774	0.0885	0.464923
24	-0.102787	-0.7121	0.239917
25	0.036794	0.2549	0.399937
26	0.072252	0.5006	0.309479
27	0.125084	0.8666	0.195234
28	0.067568	0.4681	0.320908
29	-0.151629	-1.0505	0.149371
30	-0.131619	-0.9119	0.183194
31	-0.090022	-0.6237	0.267891
32	0.00245	0.017	0.493265
33	-0.091248	-0.6322	0.265132
34	0.018131	0.1256	0.450281
35	0.042299	0.2931	0.385371
36	-0.027864	-0.193	0.423868
37	-0.025153	-0.1743	0.431196
38	-0.009573	-0.0663	0.473698
39	-0.062657	-0.4341	0.333081
40	-0.021866	-0.1515	0.440113
41	-0.04448	-0.3082	0.379646
42	-0.094767	-0.6566	0.257297
43	-0.002715	-0.0188	0.492536
44	0.070359	0.4875	0.314075
45	0.022795	0.1579	0.437587
46	-0.053577	-0.3712	0.356064
47	-0.001999	-0.0139	0.494503
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; 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