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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Mon, 20 Dec 2010 19:51:16 +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/Dec/20/t12928745856ldlydz6rpip9bs.htm/, Retrieved Fri, 03 May 2024 19:11:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113099, Retrieved Fri, 03 May 2024 19:11:22 +0000

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User-defined keywords

Estimated Impact

188

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

-     [Variance Reduction Matrix] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
-   PD  [Variance Reduction Matrix] [WS9 - Variance Re...] [2010-12-04 11:04:59] [8ef49741e164ec6343c90c7935194465]
-   P     [Variance Reduction Matrix] [WS 9 VRM] [2010-12-05 14:01:21] [8214fe6d084e5ad7598b249a26cc9f06]
- RMPD      [(Partial) Autocorrelation Function] [paper ACF] [2010-12-10 10:47:04] [8214fe6d084e5ad7598b249a26cc9f06]
-   P         [(Partial) Autocorrelation Function] [paper acf met D=1] [2010-12-10 11:19:24] [8214fe6d084e5ad7598b249a26cc9f06]
-   PD            [(Partial) Autocorrelation Function] [acf 2] [2010-12-20 19:51:16] [b47314d83d48c7bf812ec2bcd743b159] [Current]
-   PD              [(Partial) Autocorrelation Function] [acf 2 laaggeschoo...] [2010-12-21 19:26:54] [8214fe6d084e5ad7598b249a26cc9f06] 

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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	'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113099&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113099&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113099&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	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.018777	-0.204	0.419364
2	0.227029	2.4662	0.007547
3	0.013897	0.151	0.440131
4	0.16766	1.8213	0.035551
5	0.128113	1.3917	0.083321
6	0.036304	0.3944	0.347013
7	0.100628	1.0931	0.138289
8	-0.023916	-0.2598	0.397736
9	0.168241	1.8276	0.035071
10	0.0021	0.0228	0.490919
11	0.085382	0.9275	0.177784
12	-0.28083	-3.0506	0.001411
13	0.057645	0.6262	0.266201
14	0.076172	0.8274	0.204828
15	-0.042385	-0.4604	0.32303
16	-0.059148	-0.6425	0.260894
17	-0.135974	-1.4771	0.071162
18	0.071137	0.7727	0.220609
19	-0.003854	-0.0419	0.483337
20	0.009574	0.104	0.458673
21	-0.044385	-0.4821	0.3153
22	-0.079362	-0.8621	0.195193
23	-0.080586	-0.8754	0.191571
24	-0.154194	-1.675	0.048294
25	-0.036218	-0.3934	0.347357
26	-0.192691	-2.0932	0.019238
27	-0.094731	-1.029	0.152783
28	-0.046991	-0.5105	0.305344
29	-0.079968	-0.8687	0.193395
30	-0.172892	-1.8781	0.031419
31	-0.134155	-1.4573	0.073845
32	-0.052151	-0.5665	0.286065
33	0.018136	0.197	0.422082
34	-0.041284	-0.4485	0.327323
35	0.072827	0.7911	0.215234
36	-0.026691	-0.2899	0.386188
37	0.014666	0.1593	0.436847
38	-0.096612	-1.0495	0.148052
39	0.031323	0.3403	0.367136
40	-0.092034	-0.9997	0.159741
41	0.059157	0.6426	0.26086
42	0.012052	0.1309	0.448033
43	0.035136	0.3817	0.351696
44	-0.03557	-0.3864	0.349951
45	-0.068363	-0.7426	0.229597
46	0.03914	0.4252	0.335746
47	-0.10792	-1.1723	0.121718
48	-0.004202	-0.0456	0.481834

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.018777 & -0.204 & 0.419364 \tabularnewline
2 & 0.227029 & 2.4662 & 0.007547 \tabularnewline
3 & 0.013897 & 0.151 & 0.440131 \tabularnewline
4 & 0.16766 & 1.8213 & 0.035551 \tabularnewline
5 & 0.128113 & 1.3917 & 0.083321 \tabularnewline
6 & 0.036304 & 0.3944 & 0.347013 \tabularnewline
7 & 0.100628 & 1.0931 & 0.138289 \tabularnewline
8 & -0.023916 & -0.2598 & 0.397736 \tabularnewline
9 & 0.168241 & 1.8276 & 0.035071 \tabularnewline
10 & 0.0021 & 0.0228 & 0.490919 \tabularnewline
11 & 0.085382 & 0.9275 & 0.177784 \tabularnewline
12 & -0.28083 & -3.0506 & 0.001411 \tabularnewline
13 & 0.057645 & 0.6262 & 0.266201 \tabularnewline
14 & 0.076172 & 0.8274 & 0.204828 \tabularnewline
15 & -0.042385 & -0.4604 & 0.32303 \tabularnewline
16 & -0.059148 & -0.6425 & 0.260894 \tabularnewline
17 & -0.135974 & -1.4771 & 0.071162 \tabularnewline
18 & 0.071137 & 0.7727 & 0.220609 \tabularnewline
19 & -0.003854 & -0.0419 & 0.483337 \tabularnewline
20 & 0.009574 & 0.104 & 0.458673 \tabularnewline
21 & -0.044385 & -0.4821 & 0.3153 \tabularnewline
22 & -0.079362 & -0.8621 & 0.195193 \tabularnewline
23 & -0.080586 & -0.8754 & 0.191571 \tabularnewline
24 & -0.154194 & -1.675 & 0.048294 \tabularnewline
25 & -0.036218 & -0.3934 & 0.347357 \tabularnewline
26 & -0.192691 & -2.0932 & 0.019238 \tabularnewline
27 & -0.094731 & -1.029 & 0.152783 \tabularnewline
28 & -0.046991 & -0.5105 & 0.305344 \tabularnewline
29 & -0.079968 & -0.8687 & 0.193395 \tabularnewline
30 & -0.172892 & -1.8781 & 0.031419 \tabularnewline
31 & -0.134155 & -1.4573 & 0.073845 \tabularnewline
32 & -0.052151 & -0.5665 & 0.286065 \tabularnewline
33 & 0.018136 & 0.197 & 0.422082 \tabularnewline
34 & -0.041284 & -0.4485 & 0.327323 \tabularnewline
35 & 0.072827 & 0.7911 & 0.215234 \tabularnewline
36 & -0.026691 & -0.2899 & 0.386188 \tabularnewline
37 & 0.014666 & 0.1593 & 0.436847 \tabularnewline
38 & -0.096612 & -1.0495 & 0.148052 \tabularnewline
39 & 0.031323 & 0.3403 & 0.367136 \tabularnewline
40 & -0.092034 & -0.9997 & 0.159741 \tabularnewline
41 & 0.059157 & 0.6426 & 0.26086 \tabularnewline
42 & 0.012052 & 0.1309 & 0.448033 \tabularnewline
43 & 0.035136 & 0.3817 & 0.351696 \tabularnewline
44 & -0.03557 & -0.3864 & 0.349951 \tabularnewline
45 & -0.068363 & -0.7426 & 0.229597 \tabularnewline
46 & 0.03914 & 0.4252 & 0.335746 \tabularnewline
47 & -0.10792 & -1.1723 & 0.121718 \tabularnewline
48 & -0.004202 & -0.0456 & 0.481834 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113099&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]-0.018777[/C][C]-0.204[/C][C]0.419364[/C][/ROW]
[ROW][C]2[/C][C]0.227029[/C][C]2.4662[/C][C]0.007547[/C][/ROW]
[ROW][C]3[/C][C]0.013897[/C][C]0.151[/C][C]0.440131[/C][/ROW]
[ROW][C]4[/C][C]0.16766[/C][C]1.8213[/C][C]0.035551[/C][/ROW]
[ROW][C]5[/C][C]0.128113[/C][C]1.3917[/C][C]0.083321[/C][/ROW]
[ROW][C]6[/C][C]0.036304[/C][C]0.3944[/C][C]0.347013[/C][/ROW]
[ROW][C]7[/C][C]0.100628[/C][C]1.0931[/C][C]0.138289[/C][/ROW]
[ROW][C]8[/C][C]-0.023916[/C][C]-0.2598[/C][C]0.397736[/C][/ROW]
[ROW][C]9[/C][C]0.168241[/C][C]1.8276[/C][C]0.035071[/C][/ROW]
[ROW][C]10[/C][C]0.0021[/C][C]0.0228[/C][C]0.490919[/C][/ROW]
[ROW][C]11[/C][C]0.085382[/C][C]0.9275[/C][C]0.177784[/C][/ROW]
[ROW][C]12[/C][C]-0.28083[/C][C]-3.0506[/C][C]0.001411[/C][/ROW]
[ROW][C]13[/C][C]0.057645[/C][C]0.6262[/C][C]0.266201[/C][/ROW]
[ROW][C]14[/C][C]0.076172[/C][C]0.8274[/C][C]0.204828[/C][/ROW]
[ROW][C]15[/C][C]-0.042385[/C][C]-0.4604[/C][C]0.32303[/C][/ROW]
[ROW][C]16[/C][C]-0.059148[/C][C]-0.6425[/C][C]0.260894[/C][/ROW]
[ROW][C]17[/C][C]-0.135974[/C][C]-1.4771[/C][C]0.071162[/C][/ROW]
[ROW][C]18[/C][C]0.071137[/C][C]0.7727[/C][C]0.220609[/C][/ROW]
[ROW][C]19[/C][C]-0.003854[/C][C]-0.0419[/C][C]0.483337[/C][/ROW]
[ROW][C]20[/C][C]0.009574[/C][C]0.104[/C][C]0.458673[/C][/ROW]
[ROW][C]21[/C][C]-0.044385[/C][C]-0.4821[/C][C]0.3153[/C][/ROW]
[ROW][C]22[/C][C]-0.079362[/C][C]-0.8621[/C][C]0.195193[/C][/ROW]
[ROW][C]23[/C][C]-0.080586[/C][C]-0.8754[/C][C]0.191571[/C][/ROW]
[ROW][C]24[/C][C]-0.154194[/C][C]-1.675[/C][C]0.048294[/C][/ROW]
[ROW][C]25[/C][C]-0.036218[/C][C]-0.3934[/C][C]0.347357[/C][/ROW]
[ROW][C]26[/C][C]-0.192691[/C][C]-2.0932[/C][C]0.019238[/C][/ROW]
[ROW][C]27[/C][C]-0.094731[/C][C]-1.029[/C][C]0.152783[/C][/ROW]
[ROW][C]28[/C][C]-0.046991[/C][C]-0.5105[/C][C]0.305344[/C][/ROW]
[ROW][C]29[/C][C]-0.079968[/C][C]-0.8687[/C][C]0.193395[/C][/ROW]
[ROW][C]30[/C][C]-0.172892[/C][C]-1.8781[/C][C]0.031419[/C][/ROW]
[ROW][C]31[/C][C]-0.134155[/C][C]-1.4573[/C][C]0.073845[/C][/ROW]
[ROW][C]32[/C][C]-0.052151[/C][C]-0.5665[/C][C]0.286065[/C][/ROW]
[ROW][C]33[/C][C]0.018136[/C][C]0.197[/C][C]0.422082[/C][/ROW]
[ROW][C]34[/C][C]-0.041284[/C][C]-0.4485[/C][C]0.327323[/C][/ROW]
[ROW][C]35[/C][C]0.072827[/C][C]0.7911[/C][C]0.215234[/C][/ROW]
[ROW][C]36[/C][C]-0.026691[/C][C]-0.2899[/C][C]0.386188[/C][/ROW]
[ROW][C]37[/C][C]0.014666[/C][C]0.1593[/C][C]0.436847[/C][/ROW]
[ROW][C]38[/C][C]-0.096612[/C][C]-1.0495[/C][C]0.148052[/C][/ROW]
[ROW][C]39[/C][C]0.031323[/C][C]0.3403[/C][C]0.367136[/C][/ROW]
[ROW][C]40[/C][C]-0.092034[/C][C]-0.9997[/C][C]0.159741[/C][/ROW]
[ROW][C]41[/C][C]0.059157[/C][C]0.6426[/C][C]0.26086[/C][/ROW]
[ROW][C]42[/C][C]0.012052[/C][C]0.1309[/C][C]0.448033[/C][/ROW]
[ROW][C]43[/C][C]0.035136[/C][C]0.3817[/C][C]0.351696[/C][/ROW]
[ROW][C]44[/C][C]-0.03557[/C][C]-0.3864[/C][C]0.349951[/C][/ROW]
[ROW][C]45[/C][C]-0.068363[/C][C]-0.7426[/C][C]0.229597[/C][/ROW]
[ROW][C]46[/C][C]0.03914[/C][C]0.4252[/C][C]0.335746[/C][/ROW]
[ROW][C]47[/C][C]-0.10792[/C][C]-1.1723[/C][C]0.121718[/C][/ROW]
[ROW][C]48[/C][C]-0.004202[/C][C]-0.0456[/C][C]0.481834[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113099&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113099&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	-0.018777	-0.204	0.419364
2	0.227029	2.4662	0.007547
3	0.013897	0.151	0.440131
4	0.16766	1.8213	0.035551
5	0.128113	1.3917	0.083321
6	0.036304	0.3944	0.347013
7	0.100628	1.0931	0.138289
8	-0.023916	-0.2598	0.397736
9	0.168241	1.8276	0.035071
10	0.0021	0.0228	0.490919
11	0.085382	0.9275	0.177784
12	-0.28083	-3.0506	0.001411
13	0.057645	0.6262	0.266201
14	0.076172	0.8274	0.204828
15	-0.042385	-0.4604	0.32303
16	-0.059148	-0.6425	0.260894
17	-0.135974	-1.4771	0.071162
18	0.071137	0.7727	0.220609
19	-0.003854	-0.0419	0.483337
20	0.009574	0.104	0.458673
21	-0.044385	-0.4821	0.3153
22	-0.079362	-0.8621	0.195193
23	-0.080586	-0.8754	0.191571
24	-0.154194	-1.675	0.048294
25	-0.036218	-0.3934	0.347357
26	-0.192691	-2.0932	0.019238
27	-0.094731	-1.029	0.152783
28	-0.046991	-0.5105	0.305344
29	-0.079968	-0.8687	0.193395
30	-0.172892	-1.8781	0.031419
31	-0.134155	-1.4573	0.073845
32	-0.052151	-0.5665	0.286065
33	0.018136	0.197	0.422082
34	-0.041284	-0.4485	0.327323
35	0.072827	0.7911	0.215234
36	-0.026691	-0.2899	0.386188
37	0.014666	0.1593	0.436847
38	-0.096612	-1.0495	0.148052
39	0.031323	0.3403	0.367136
40	-0.092034	-0.9997	0.159741
41	0.059157	0.6426	0.26086
42	0.012052	0.1309	0.448033
43	0.035136	0.3817	0.351696
44	-0.03557	-0.3864	0.349951
45	-0.068363	-0.7426	0.229597
46	0.03914	0.4252	0.335746
47	-0.10792	-1.1723	0.121718
48	-0.004202	-0.0456	0.481834

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.018777	-0.204	0.419364
2	0.226757	2.4632	0.007606
3	0.022622	0.2457	0.403155
4	0.123241	1.3387	0.091615
5	0.134713	1.4634	0.073015
6	-0.019228	-0.2089	0.417454
7	0.048344	0.5252	0.300232
8	-0.049164	-0.5341	0.297151
9	0.108202	1.1754	0.121105
10	0.006888	0.0748	0.470241
11	0.01188	0.1291	0.448768
12	-0.315743	-3.4298	0.000416
13	-0.007171	-0.0779	0.46902
14	0.183142	1.9894	0.024483
15	-0.064016	-0.6954	0.244087
16	-0.081447	-0.8847	0.189048
17	-0.070065	-0.7611	0.224057
18	0.062363	0.6774	0.249727
19	0.092236	1.0019	0.159211
20	-0.022403	-0.2434	0.404074
21	0.031505	0.3422	0.366395
22	-0.064998	-0.7061	0.240771
23	-0.125592	-1.3643	0.087538
24	-0.276791	-3.0067	0.001614
25	0.012169	0.1322	0.447529
26	0.03641	0.3955	0.346587
27	-0.133774	-1.4532	0.074418
28	-0.033174	-0.3604	0.35961
29	-0.052626	-0.5717	0.284317
30	-0.081002	-0.8799	0.19035
31	0.010379	0.1127	0.455212
32	0.026611	0.2891	0.386519
33	0.196737	2.1371	0.017326
34	0.02135	0.2319	0.4085
35	0.095968	1.0425	0.149661
36	-0.075547	-0.8206	0.206751
37	0.037123	0.4033	0.343742
38	-0.141811	-1.5405	0.063063
39	-0.126523	-1.3744	0.085962
40	-0.089064	-0.9675	0.16764
41	0.026764	0.2907	0.385882
42	-0.043134	-0.4686	0.320127
43	0.004324	0.047	0.481309
44	-0.024556	-0.2667	0.395065
45	0.052805	0.5736	0.283661
46	-0.013611	-0.1479	0.441356
47	-0.062663	-0.6807	0.2487
48	-0.059794	-0.6495	0.258629

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.018777 & -0.204 & 0.419364 \tabularnewline
2 & 0.226757 & 2.4632 & 0.007606 \tabularnewline
3 & 0.022622 & 0.2457 & 0.403155 \tabularnewline
4 & 0.123241 & 1.3387 & 0.091615 \tabularnewline
5 & 0.134713 & 1.4634 & 0.073015 \tabularnewline
6 & -0.019228 & -0.2089 & 0.417454 \tabularnewline
7 & 0.048344 & 0.5252 & 0.300232 \tabularnewline
8 & -0.049164 & -0.5341 & 0.297151 \tabularnewline
9 & 0.108202 & 1.1754 & 0.121105 \tabularnewline
10 & 0.006888 & 0.0748 & 0.470241 \tabularnewline
11 & 0.01188 & 0.1291 & 0.448768 \tabularnewline
12 & -0.315743 & -3.4298 & 0.000416 \tabularnewline
13 & -0.007171 & -0.0779 & 0.46902 \tabularnewline
14 & 0.183142 & 1.9894 & 0.024483 \tabularnewline
15 & -0.064016 & -0.6954 & 0.244087 \tabularnewline
16 & -0.081447 & -0.8847 & 0.189048 \tabularnewline
17 & -0.070065 & -0.7611 & 0.224057 \tabularnewline
18 & 0.062363 & 0.6774 & 0.249727 \tabularnewline
19 & 0.092236 & 1.0019 & 0.159211 \tabularnewline
20 & -0.022403 & -0.2434 & 0.404074 \tabularnewline
21 & 0.031505 & 0.3422 & 0.366395 \tabularnewline
22 & -0.064998 & -0.7061 & 0.240771 \tabularnewline
23 & -0.125592 & -1.3643 & 0.087538 \tabularnewline
24 & -0.276791 & -3.0067 & 0.001614 \tabularnewline
25 & 0.012169 & 0.1322 & 0.447529 \tabularnewline
26 & 0.03641 & 0.3955 & 0.346587 \tabularnewline
27 & -0.133774 & -1.4532 & 0.074418 \tabularnewline
28 & -0.033174 & -0.3604 & 0.35961 \tabularnewline
29 & -0.052626 & -0.5717 & 0.284317 \tabularnewline
30 & -0.081002 & -0.8799 & 0.19035 \tabularnewline
31 & 0.010379 & 0.1127 & 0.455212 \tabularnewline
32 & 0.026611 & 0.2891 & 0.386519 \tabularnewline
33 & 0.196737 & 2.1371 & 0.017326 \tabularnewline
34 & 0.02135 & 0.2319 & 0.4085 \tabularnewline
35 & 0.095968 & 1.0425 & 0.149661 \tabularnewline
36 & -0.075547 & -0.8206 & 0.206751 \tabularnewline
37 & 0.037123 & 0.4033 & 0.343742 \tabularnewline
38 & -0.141811 & -1.5405 & 0.063063 \tabularnewline
39 & -0.126523 & -1.3744 & 0.085962 \tabularnewline
40 & -0.089064 & -0.9675 & 0.16764 \tabularnewline
41 & 0.026764 & 0.2907 & 0.385882 \tabularnewline
42 & -0.043134 & -0.4686 & 0.320127 \tabularnewline
43 & 0.004324 & 0.047 & 0.481309 \tabularnewline
44 & -0.024556 & -0.2667 & 0.395065 \tabularnewline
45 & 0.052805 & 0.5736 & 0.283661 \tabularnewline
46 & -0.013611 & -0.1479 & 0.441356 \tabularnewline
47 & -0.062663 & -0.6807 & 0.2487 \tabularnewline
48 & -0.059794 & -0.6495 & 0.258629 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113099&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]-0.018777[/C][C]-0.204[/C][C]0.419364[/C][/ROW]
[ROW][C]2[/C][C]0.226757[/C][C]2.4632[/C][C]0.007606[/C][/ROW]
[ROW][C]3[/C][C]0.022622[/C][C]0.2457[/C][C]0.403155[/C][/ROW]
[ROW][C]4[/C][C]0.123241[/C][C]1.3387[/C][C]0.091615[/C][/ROW]
[ROW][C]5[/C][C]0.134713[/C][C]1.4634[/C][C]0.073015[/C][/ROW]
[ROW][C]6[/C][C]-0.019228[/C][C]-0.2089[/C][C]0.417454[/C][/ROW]
[ROW][C]7[/C][C]0.048344[/C][C]0.5252[/C][C]0.300232[/C][/ROW]
[ROW][C]8[/C][C]-0.049164[/C][C]-0.5341[/C][C]0.297151[/C][/ROW]
[ROW][C]9[/C][C]0.108202[/C][C]1.1754[/C][C]0.121105[/C][/ROW]
[ROW][C]10[/C][C]0.006888[/C][C]0.0748[/C][C]0.470241[/C][/ROW]
[ROW][C]11[/C][C]0.01188[/C][C]0.1291[/C][C]0.448768[/C][/ROW]
[ROW][C]12[/C][C]-0.315743[/C][C]-3.4298[/C][C]0.000416[/C][/ROW]
[ROW][C]13[/C][C]-0.007171[/C][C]-0.0779[/C][C]0.46902[/C][/ROW]
[ROW][C]14[/C][C]0.183142[/C][C]1.9894[/C][C]0.024483[/C][/ROW]
[ROW][C]15[/C][C]-0.064016[/C][C]-0.6954[/C][C]0.244087[/C][/ROW]
[ROW][C]16[/C][C]-0.081447[/C][C]-0.8847[/C][C]0.189048[/C][/ROW]
[ROW][C]17[/C][C]-0.070065[/C][C]-0.7611[/C][C]0.224057[/C][/ROW]
[ROW][C]18[/C][C]0.062363[/C][C]0.6774[/C][C]0.249727[/C][/ROW]
[ROW][C]19[/C][C]0.092236[/C][C]1.0019[/C][C]0.159211[/C][/ROW]
[ROW][C]20[/C][C]-0.022403[/C][C]-0.2434[/C][C]0.404074[/C][/ROW]
[ROW][C]21[/C][C]0.031505[/C][C]0.3422[/C][C]0.366395[/C][/ROW]
[ROW][C]22[/C][C]-0.064998[/C][C]-0.7061[/C][C]0.240771[/C][/ROW]
[ROW][C]23[/C][C]-0.125592[/C][C]-1.3643[/C][C]0.087538[/C][/ROW]
[ROW][C]24[/C][C]-0.276791[/C][C]-3.0067[/C][C]0.001614[/C][/ROW]
[ROW][C]25[/C][C]0.012169[/C][C]0.1322[/C][C]0.447529[/C][/ROW]
[ROW][C]26[/C][C]0.03641[/C][C]0.3955[/C][C]0.346587[/C][/ROW]
[ROW][C]27[/C][C]-0.133774[/C][C]-1.4532[/C][C]0.074418[/C][/ROW]
[ROW][C]28[/C][C]-0.033174[/C][C]-0.3604[/C][C]0.35961[/C][/ROW]
[ROW][C]29[/C][C]-0.052626[/C][C]-0.5717[/C][C]0.284317[/C][/ROW]
[ROW][C]30[/C][C]-0.081002[/C][C]-0.8799[/C][C]0.19035[/C][/ROW]
[ROW][C]31[/C][C]0.010379[/C][C]0.1127[/C][C]0.455212[/C][/ROW]
[ROW][C]32[/C][C]0.026611[/C][C]0.2891[/C][C]0.386519[/C][/ROW]
[ROW][C]33[/C][C]0.196737[/C][C]2.1371[/C][C]0.017326[/C][/ROW]
[ROW][C]34[/C][C]0.02135[/C][C]0.2319[/C][C]0.4085[/C][/ROW]
[ROW][C]35[/C][C]0.095968[/C][C]1.0425[/C][C]0.149661[/C][/ROW]
[ROW][C]36[/C][C]-0.075547[/C][C]-0.8206[/C][C]0.206751[/C][/ROW]
[ROW][C]37[/C][C]0.037123[/C][C]0.4033[/C][C]0.343742[/C][/ROW]
[ROW][C]38[/C][C]-0.141811[/C][C]-1.5405[/C][C]0.063063[/C][/ROW]
[ROW][C]39[/C][C]-0.126523[/C][C]-1.3744[/C][C]0.085962[/C][/ROW]
[ROW][C]40[/C][C]-0.089064[/C][C]-0.9675[/C][C]0.16764[/C][/ROW]
[ROW][C]41[/C][C]0.026764[/C][C]0.2907[/C][C]0.385882[/C][/ROW]
[ROW][C]42[/C][C]-0.043134[/C][C]-0.4686[/C][C]0.320127[/C][/ROW]
[ROW][C]43[/C][C]0.004324[/C][C]0.047[/C][C]0.481309[/C][/ROW]
[ROW][C]44[/C][C]-0.024556[/C][C]-0.2667[/C][C]0.395065[/C][/ROW]
[ROW][C]45[/C][C]0.052805[/C][C]0.5736[/C][C]0.283661[/C][/ROW]
[ROW][C]46[/C][C]-0.013611[/C][C]-0.1479[/C][C]0.441356[/C][/ROW]
[ROW][C]47[/C][C]-0.062663[/C][C]-0.6807[/C][C]0.2487[/C][/ROW]
[ROW][C]48[/C][C]-0.059794[/C][C]-0.6495[/C][C]0.258629[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113099&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113099&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	-0.018777	-0.204	0.419364
2	0.226757	2.4632	0.007606
3	0.022622	0.2457	0.403155
4	0.123241	1.3387	0.091615
5	0.134713	1.4634	0.073015
6	-0.019228	-0.2089	0.417454
7	0.048344	0.5252	0.300232
8	-0.049164	-0.5341	0.297151
9	0.108202	1.1754	0.121105
10	0.006888	0.0748	0.470241
11	0.01188	0.1291	0.448768
12	-0.315743	-3.4298	0.000416
13	-0.007171	-0.0779	0.46902
14	0.183142	1.9894	0.024483
15	-0.064016	-0.6954	0.244087
16	-0.081447	-0.8847	0.189048
17	-0.070065	-0.7611	0.224057
18	0.062363	0.6774	0.249727
19	0.092236	1.0019	0.159211
20	-0.022403	-0.2434	0.404074
21	0.031505	0.3422	0.366395
22	-0.064998	-0.7061	0.240771
23	-0.125592	-1.3643	0.087538
24	-0.276791	-3.0067	0.001614
25	0.012169	0.1322	0.447529
26	0.03641	0.3955	0.346587
27	-0.133774	-1.4532	0.074418
28	-0.033174	-0.3604	0.35961
29	-0.052626	-0.5717	0.284317
30	-0.081002	-0.8799	0.19035
31	0.010379	0.1127	0.455212
32	0.026611	0.2891	0.386519
33	0.196737	2.1371	0.017326
34	0.02135	0.2319	0.4085
35	0.095968	1.0425	0.149661
36	-0.075547	-0.8206	0.206751
37	0.037123	0.4033	0.343742
38	-0.141811	-1.5405	0.063063
39	-0.126523	-1.3744	0.085962
40	-0.089064	-0.9675	0.16764
41	0.026764	0.2907	0.385882
42	-0.043134	-0.4686	0.320127
43	0.004324	0.047	0.481309
44	-0.024556	-0.2667	0.395065
45	0.052805	0.5736	0.283661
46	-0.013611	-0.1479	0.441356
47	-0.062663	-0.6807	0.2487
48	-0.059794	-0.6495	0.258629

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 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

R code (references can be found in the software module):

if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code