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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 28 Nov 2007 11:32:34 -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/Nov/28/t1196274147x8eafddw0r8uagm.htm/, Retrieved Thu, 02 May 2024 13:10:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7203, Retrieved Thu, 02 May 2024 13:10:44 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

192

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

-       [(Partial) Autocorrelation Function] [Autocorrelation (...] [2007-11-28 18:32:34] [bad81931077d8a4f1668ce1551154583] [Current]

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Dataseries X:

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Histogram

Boxplots

4.68
4.68
4.67
4.58
4.48
4.46
4.46
4.46
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.44
4.44
4.44
4.44
4.44
4.43
4.38
4.23
4.2
4.2
4.2
4.2
4.2
4.19
4.16
4.06
4
3.99
3.95
3.81
3.8
3.8
3.8
3.8
3.79
3.79
3.78
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.68
3.63
3.61
3.61
3.61
3.6
3.58
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.51
3.47
3.43
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42

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=7203&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=7203&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7203&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	8.9443	0
1	0.348654	3.1185	0.001263
2	-0.058725	-0.5253	0.69957
3	-0.04657	-0.4165	0.660933
4	0.002668	0.0239	0.490512
5	-0.088023	-0.7873	0.783285
6	-0.118718	-1.0618	0.85425
7	-0.069167	-0.6187	0.731048
8	0.189242	1.6926	0.047208
9	0.075794	0.6779	0.249889
10	-0.066493	-0.5947	0.723148
11	0.035187	0.3147	0.376897
12	0.220528	1.9725	0.026006
13	-0.044258	-0.3959	0.653368
14	-0.153224	-1.3705	0.912814
15	-0.109942	-0.9834	0.835801
16	-0.144931	-1.2963	0.900701
17	-0.059019	-0.5279	0.700479
18	-0.030783	-0.2753	0.608115
19	0.109044	0.9753	0.166171
20	0.199972	1.7886	0.038732
21	-0.03187	-0.2851	0.611831
22	-0.126668	-1.1329	0.86969
23	-0.056961	-0.5095	0.694089
24	-0.127936	-1.1443	0.872042
25	-0.091456	-0.818	0.792108
26	0.006995	0.0626	0.475135
27	0.109207	0.9768	0.165812
28	0.064908	0.5806	0.281586
29	0.03227	0.2886	0.386805
30	-0.010587	-0.0947	0.537603
31	0.075012	0.6709	0.2521
32	0.044881	0.4014	0.344587
33	-0.026469	-0.2367	0.593272
34	0.00465	0.0416	0.483464
35	0.059279	0.5302	0.298718
36	-0.022102	-0.1977	0.578104
37	-0.02772	-0.2479	0.59759
38	-0.011803	-0.1056	0.541907
39	0.033453	0.2992	0.382776
40	-0.011567	-0.1035	0.54107
41	-0.110502	-0.9884	0.837021
42	-0.11916	-1.0658	0.85514
43	-0.107005	-0.9571	0.829295
44	-0.075008	-0.6709	0.747889
45	-0.017213	-0.154	0.560984
46	0.016101	0.144	0.442927
47	-0.012964	-0.116	0.54601

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.9443 & 0 \tabularnewline
1 & 0.348654 & 3.1185 & 0.001263 \tabularnewline
2 & -0.058725 & -0.5253 & 0.69957 \tabularnewline
3 & -0.04657 & -0.4165 & 0.660933 \tabularnewline
4 & 0.002668 & 0.0239 & 0.490512 \tabularnewline
5 & -0.088023 & -0.7873 & 0.783285 \tabularnewline
6 & -0.118718 & -1.0618 & 0.85425 \tabularnewline
7 & -0.069167 & -0.6187 & 0.731048 \tabularnewline
8 & 0.189242 & 1.6926 & 0.047208 \tabularnewline
9 & 0.075794 & 0.6779 & 0.249889 \tabularnewline
10 & -0.066493 & -0.5947 & 0.723148 \tabularnewline
11 & 0.035187 & 0.3147 & 0.376897 \tabularnewline
12 & 0.220528 & 1.9725 & 0.026006 \tabularnewline
13 & -0.044258 & -0.3959 & 0.653368 \tabularnewline
14 & -0.153224 & -1.3705 & 0.912814 \tabularnewline
15 & -0.109942 & -0.9834 & 0.835801 \tabularnewline
16 & -0.144931 & -1.2963 & 0.900701 \tabularnewline
17 & -0.059019 & -0.5279 & 0.700479 \tabularnewline
18 & -0.030783 & -0.2753 & 0.608115 \tabularnewline
19 & 0.109044 & 0.9753 & 0.166171 \tabularnewline
20 & 0.199972 & 1.7886 & 0.038732 \tabularnewline
21 & -0.03187 & -0.2851 & 0.611831 \tabularnewline
22 & -0.126668 & -1.1329 & 0.86969 \tabularnewline
23 & -0.056961 & -0.5095 & 0.694089 \tabularnewline
24 & -0.127936 & -1.1443 & 0.872042 \tabularnewline
25 & -0.091456 & -0.818 & 0.792108 \tabularnewline
26 & 0.006995 & 0.0626 & 0.475135 \tabularnewline
27 & 0.109207 & 0.9768 & 0.165812 \tabularnewline
28 & 0.064908 & 0.5806 & 0.281586 \tabularnewline
29 & 0.03227 & 0.2886 & 0.386805 \tabularnewline
30 & -0.010587 & -0.0947 & 0.537603 \tabularnewline
31 & 0.075012 & 0.6709 & 0.2521 \tabularnewline
32 & 0.044881 & 0.4014 & 0.344587 \tabularnewline
33 & -0.026469 & -0.2367 & 0.593272 \tabularnewline
34 & 0.00465 & 0.0416 & 0.483464 \tabularnewline
35 & 0.059279 & 0.5302 & 0.298718 \tabularnewline
36 & -0.022102 & -0.1977 & 0.578104 \tabularnewline
37 & -0.02772 & -0.2479 & 0.59759 \tabularnewline
38 & -0.011803 & -0.1056 & 0.541907 \tabularnewline
39 & 0.033453 & 0.2992 & 0.382776 \tabularnewline
40 & -0.011567 & -0.1035 & 0.54107 \tabularnewline
41 & -0.110502 & -0.9884 & 0.837021 \tabularnewline
42 & -0.11916 & -1.0658 & 0.85514 \tabularnewline
43 & -0.107005 & -0.9571 & 0.829295 \tabularnewline
44 & -0.075008 & -0.6709 & 0.747889 \tabularnewline
45 & -0.017213 & -0.154 & 0.560984 \tabularnewline
46 & 0.016101 & 0.144 & 0.442927 \tabularnewline
47 & -0.012964 & -0.116 & 0.54601 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7203&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]8.9443[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.348654[/C][C]3.1185[/C][C]0.001263[/C][/ROW]
[ROW][C]2[/C][C]-0.058725[/C][C]-0.5253[/C][C]0.69957[/C][/ROW]
[ROW][C]3[/C][C]-0.04657[/C][C]-0.4165[/C][C]0.660933[/C][/ROW]
[ROW][C]4[/C][C]0.002668[/C][C]0.0239[/C][C]0.490512[/C][/ROW]
[ROW][C]5[/C][C]-0.088023[/C][C]-0.7873[/C][C]0.783285[/C][/ROW]
[ROW][C]6[/C][C]-0.118718[/C][C]-1.0618[/C][C]0.85425[/C][/ROW]
[ROW][C]7[/C][C]-0.069167[/C][C]-0.6187[/C][C]0.731048[/C][/ROW]
[ROW][C]8[/C][C]0.189242[/C][C]1.6926[/C][C]0.047208[/C][/ROW]
[ROW][C]9[/C][C]0.075794[/C][C]0.6779[/C][C]0.249889[/C][/ROW]
[ROW][C]10[/C][C]-0.066493[/C][C]-0.5947[/C][C]0.723148[/C][/ROW]
[ROW][C]11[/C][C]0.035187[/C][C]0.3147[/C][C]0.376897[/C][/ROW]
[ROW][C]12[/C][C]0.220528[/C][C]1.9725[/C][C]0.026006[/C][/ROW]
[ROW][C]13[/C][C]-0.044258[/C][C]-0.3959[/C][C]0.653368[/C][/ROW]
[ROW][C]14[/C][C]-0.153224[/C][C]-1.3705[/C][C]0.912814[/C][/ROW]
[ROW][C]15[/C][C]-0.109942[/C][C]-0.9834[/C][C]0.835801[/C][/ROW]
[ROW][C]16[/C][C]-0.144931[/C][C]-1.2963[/C][C]0.900701[/C][/ROW]
[ROW][C]17[/C][C]-0.059019[/C][C]-0.5279[/C][C]0.700479[/C][/ROW]
[ROW][C]18[/C][C]-0.030783[/C][C]-0.2753[/C][C]0.608115[/C][/ROW]
[ROW][C]19[/C][C]0.109044[/C][C]0.9753[/C][C]0.166171[/C][/ROW]
[ROW][C]20[/C][C]0.199972[/C][C]1.7886[/C][C]0.038732[/C][/ROW]
[ROW][C]21[/C][C]-0.03187[/C][C]-0.2851[/C][C]0.611831[/C][/ROW]
[ROW][C]22[/C][C]-0.126668[/C][C]-1.1329[/C][C]0.86969[/C][/ROW]
[ROW][C]23[/C][C]-0.056961[/C][C]-0.5095[/C][C]0.694089[/C][/ROW]
[ROW][C]24[/C][C]-0.127936[/C][C]-1.1443[/C][C]0.872042[/C][/ROW]
[ROW][C]25[/C][C]-0.091456[/C][C]-0.818[/C][C]0.792108[/C][/ROW]
[ROW][C]26[/C][C]0.006995[/C][C]0.0626[/C][C]0.475135[/C][/ROW]
[ROW][C]27[/C][C]0.109207[/C][C]0.9768[/C][C]0.165812[/C][/ROW]
[ROW][C]28[/C][C]0.064908[/C][C]0.5806[/C][C]0.281586[/C][/ROW]
[ROW][C]29[/C][C]0.03227[/C][C]0.2886[/C][C]0.386805[/C][/ROW]
[ROW][C]30[/C][C]-0.010587[/C][C]-0.0947[/C][C]0.537603[/C][/ROW]
[ROW][C]31[/C][C]0.075012[/C][C]0.6709[/C][C]0.2521[/C][/ROW]
[ROW][C]32[/C][C]0.044881[/C][C]0.4014[/C][C]0.344587[/C][/ROW]
[ROW][C]33[/C][C]-0.026469[/C][C]-0.2367[/C][C]0.593272[/C][/ROW]
[ROW][C]34[/C][C]0.00465[/C][C]0.0416[/C][C]0.483464[/C][/ROW]
[ROW][C]35[/C][C]0.059279[/C][C]0.5302[/C][C]0.298718[/C][/ROW]
[ROW][C]36[/C][C]-0.022102[/C][C]-0.1977[/C][C]0.578104[/C][/ROW]
[ROW][C]37[/C][C]-0.02772[/C][C]-0.2479[/C][C]0.59759[/C][/ROW]
[ROW][C]38[/C][C]-0.011803[/C][C]-0.1056[/C][C]0.541907[/C][/ROW]
[ROW][C]39[/C][C]0.033453[/C][C]0.2992[/C][C]0.382776[/C][/ROW]
[ROW][C]40[/C][C]-0.011567[/C][C]-0.1035[/C][C]0.54107[/C][/ROW]
[ROW][C]41[/C][C]-0.110502[/C][C]-0.9884[/C][C]0.837021[/C][/ROW]
[ROW][C]42[/C][C]-0.11916[/C][C]-1.0658[/C][C]0.85514[/C][/ROW]
[ROW][C]43[/C][C]-0.107005[/C][C]-0.9571[/C][C]0.829295[/C][/ROW]
[ROW][C]44[/C][C]-0.075008[/C][C]-0.6709[/C][C]0.747889[/C][/ROW]
[ROW][C]45[/C][C]-0.017213[/C][C]-0.154[/C][C]0.560984[/C][/ROW]
[ROW][C]46[/C][C]0.016101[/C][C]0.144[/C][C]0.442927[/C][/ROW]
[ROW][C]47[/C][C]-0.012964[/C][C]-0.116[/C][C]0.54601[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7203&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7203&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	8.9443	0
1	0.348654	3.1185	0.001263
2	-0.058725	-0.5253	0.69957
3	-0.04657	-0.4165	0.660933
4	0.002668	0.0239	0.490512
5	-0.088023	-0.7873	0.783285
6	-0.118718	-1.0618	0.85425
7	-0.069167	-0.6187	0.731048
8	0.189242	1.6926	0.047208
9	0.075794	0.6779	0.249889
10	-0.066493	-0.5947	0.723148
11	0.035187	0.3147	0.376897
12	0.220528	1.9725	0.026006
13	-0.044258	-0.3959	0.653368
14	-0.153224	-1.3705	0.912814
15	-0.109942	-0.9834	0.835801
16	-0.144931	-1.2963	0.900701
17	-0.059019	-0.5279	0.700479
18	-0.030783	-0.2753	0.608115
19	0.109044	0.9753	0.166171
20	0.199972	1.7886	0.038732
21	-0.03187	-0.2851	0.611831
22	-0.126668	-1.1329	0.86969
23	-0.056961	-0.5095	0.694089
24	-0.127936	-1.1443	0.872042
25	-0.091456	-0.818	0.792108
26	0.006995	0.0626	0.475135
27	0.109207	0.9768	0.165812
28	0.064908	0.5806	0.281586
29	0.03227	0.2886	0.386805
30	-0.010587	-0.0947	0.537603
31	0.075012	0.6709	0.2521
32	0.044881	0.4014	0.344587
33	-0.026469	-0.2367	0.593272
34	0.00465	0.0416	0.483464
35	0.059279	0.5302	0.298718
36	-0.022102	-0.1977	0.578104
37	-0.02772	-0.2479	0.59759
38	-0.011803	-0.1056	0.541907
39	0.033453	0.2992	0.382776
40	-0.011567	-0.1035	0.54107
41	-0.110502	-0.9884	0.837021
42	-0.11916	-1.0658	0.85514
43	-0.107005	-0.9571	0.829295
44	-0.075008	-0.6709	0.747889
45	-0.017213	-0.154	0.560984
46	0.016101	0.144	0.442927
47	-0.012964	-0.116	0.54601

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.348654	3.1185	0.001263
1	-0.205233	-1.8357	0.964938
2	0.059021	0.5279	0.299516
3	-0.013459	-0.1204	0.54776
4	-0.109184	-0.9766	0.834138
5	-0.046153	-0.4128	0.659574
6	-0.032001	-0.2862	0.612278
7	0.242254	2.1668	0.016613
8	-0.132458	-1.1847	0.880185
9	-0.006102	-0.0546	0.521695
10	0.092515	0.8275	0.205214
11	0.16453	1.4716	0.072525
12	-0.218416	-1.9536	0.972876
13	0.017897	0.1601	0.436614
14	-0.046201	-0.4132	0.65973
15	-0.22306	-1.9951	0.975282
16	0.131579	1.1769	0.121366
17	-0.059567	-0.5328	0.702169
18	0.195702	1.7504	0.04194
19	-0.085264	-0.7626	0.776035
20	-0.080261	-0.7179	0.762538
21	0.01974	0.1766	0.43015
22	-0.114675	-1.0257	0.845933
23	-0.09142	-0.8177	0.792016
24	0.082341	0.7365	0.231797
25	0.061818	0.5529	0.29093
26	0.020535	0.1837	0.427369
27	0.01591	0.1423	0.4436
28	0.00318	0.0284	0.48869
29	-0.015011	-0.1343	0.553233
30	-0.005718	-0.0511	0.52033
31	-0.009581	-0.0857	0.534039
32	0.132094	1.1815	0.120456
33	-0.025827	-0.231	0.591051
34	0.065227	0.5834	0.28063
35	0.036948	0.3305	0.370952
36	-0.121802	-1.0894	0.860383
37	-0.012285	-0.1099	0.543612
38	-0.081899	-0.7325	0.767007
39	-0.020473	-0.1831	0.572416
40	-0.07408	-0.6626	0.745252
41	-0.034824	-0.3115	0.621877
42	-0.085422	-0.764	0.776454
43	0.03298	0.295	0.384386
44	-0.050735	-0.4538	0.674393
45	-0.063031	-0.5638	0.712754
46	-0.029493	-0.2638	0.603691
47	-0.002939	-0.0263	0.510454

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.348654 & 3.1185 & 0.001263 \tabularnewline
1 & -0.205233 & -1.8357 & 0.964938 \tabularnewline
2 & 0.059021 & 0.5279 & 0.299516 \tabularnewline
3 & -0.013459 & -0.1204 & 0.54776 \tabularnewline
4 & -0.109184 & -0.9766 & 0.834138 \tabularnewline
5 & -0.046153 & -0.4128 & 0.659574 \tabularnewline
6 & -0.032001 & -0.2862 & 0.612278 \tabularnewline
7 & 0.242254 & 2.1668 & 0.016613 \tabularnewline
8 & -0.132458 & -1.1847 & 0.880185 \tabularnewline
9 & -0.006102 & -0.0546 & 0.521695 \tabularnewline
10 & 0.092515 & 0.8275 & 0.205214 \tabularnewline
11 & 0.16453 & 1.4716 & 0.072525 \tabularnewline
12 & -0.218416 & -1.9536 & 0.972876 \tabularnewline
13 & 0.017897 & 0.1601 & 0.436614 \tabularnewline
14 & -0.046201 & -0.4132 & 0.65973 \tabularnewline
15 & -0.22306 & -1.9951 & 0.975282 \tabularnewline
16 & 0.131579 & 1.1769 & 0.121366 \tabularnewline
17 & -0.059567 & -0.5328 & 0.702169 \tabularnewline
18 & 0.195702 & 1.7504 & 0.04194 \tabularnewline
19 & -0.085264 & -0.7626 & 0.776035 \tabularnewline
20 & -0.080261 & -0.7179 & 0.762538 \tabularnewline
21 & 0.01974 & 0.1766 & 0.43015 \tabularnewline
22 & -0.114675 & -1.0257 & 0.845933 \tabularnewline
23 & -0.09142 & -0.8177 & 0.792016 \tabularnewline
24 & 0.082341 & 0.7365 & 0.231797 \tabularnewline
25 & 0.061818 & 0.5529 & 0.29093 \tabularnewline
26 & 0.020535 & 0.1837 & 0.427369 \tabularnewline
27 & 0.01591 & 0.1423 & 0.4436 \tabularnewline
28 & 0.00318 & 0.0284 & 0.48869 \tabularnewline
29 & -0.015011 & -0.1343 & 0.553233 \tabularnewline
30 & -0.005718 & -0.0511 & 0.52033 \tabularnewline
31 & -0.009581 & -0.0857 & 0.534039 \tabularnewline
32 & 0.132094 & 1.1815 & 0.120456 \tabularnewline
33 & -0.025827 & -0.231 & 0.591051 \tabularnewline
34 & 0.065227 & 0.5834 & 0.28063 \tabularnewline
35 & 0.036948 & 0.3305 & 0.370952 \tabularnewline
36 & -0.121802 & -1.0894 & 0.860383 \tabularnewline
37 & -0.012285 & -0.1099 & 0.543612 \tabularnewline
38 & -0.081899 & -0.7325 & 0.767007 \tabularnewline
39 & -0.020473 & -0.1831 & 0.572416 \tabularnewline
40 & -0.07408 & -0.6626 & 0.745252 \tabularnewline
41 & -0.034824 & -0.3115 & 0.621877 \tabularnewline
42 & -0.085422 & -0.764 & 0.776454 \tabularnewline
43 & 0.03298 & 0.295 & 0.384386 \tabularnewline
44 & -0.050735 & -0.4538 & 0.674393 \tabularnewline
45 & -0.063031 & -0.5638 & 0.712754 \tabularnewline
46 & -0.029493 & -0.2638 & 0.603691 \tabularnewline
47 & -0.002939 & -0.0263 & 0.510454 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7203&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]0.348654[/C][C]3.1185[/C][C]0.001263[/C][/ROW]
[ROW][C]1[/C][C]-0.205233[/C][C]-1.8357[/C][C]0.964938[/C][/ROW]
[ROW][C]2[/C][C]0.059021[/C][C]0.5279[/C][C]0.299516[/C][/ROW]
[ROW][C]3[/C][C]-0.013459[/C][C]-0.1204[/C][C]0.54776[/C][/ROW]
[ROW][C]4[/C][C]-0.109184[/C][C]-0.9766[/C][C]0.834138[/C][/ROW]
[ROW][C]5[/C][C]-0.046153[/C][C]-0.4128[/C][C]0.659574[/C][/ROW]
[ROW][C]6[/C][C]-0.032001[/C][C]-0.2862[/C][C]0.612278[/C][/ROW]
[ROW][C]7[/C][C]0.242254[/C][C]2.1668[/C][C]0.016613[/C][/ROW]
[ROW][C]8[/C][C]-0.132458[/C][C]-1.1847[/C][C]0.880185[/C][/ROW]
[ROW][C]9[/C][C]-0.006102[/C][C]-0.0546[/C][C]0.521695[/C][/ROW]
[ROW][C]10[/C][C]0.092515[/C][C]0.8275[/C][C]0.205214[/C][/ROW]
[ROW][C]11[/C][C]0.16453[/C][C]1.4716[/C][C]0.072525[/C][/ROW]
[ROW][C]12[/C][C]-0.218416[/C][C]-1.9536[/C][C]0.972876[/C][/ROW]
[ROW][C]13[/C][C]0.017897[/C][C]0.1601[/C][C]0.436614[/C][/ROW]
[ROW][C]14[/C][C]-0.046201[/C][C]-0.4132[/C][C]0.65973[/C][/ROW]
[ROW][C]15[/C][C]-0.22306[/C][C]-1.9951[/C][C]0.975282[/C][/ROW]
[ROW][C]16[/C][C]0.131579[/C][C]1.1769[/C][C]0.121366[/C][/ROW]
[ROW][C]17[/C][C]-0.059567[/C][C]-0.5328[/C][C]0.702169[/C][/ROW]
[ROW][C]18[/C][C]0.195702[/C][C]1.7504[/C][C]0.04194[/C][/ROW]
[ROW][C]19[/C][C]-0.085264[/C][C]-0.7626[/C][C]0.776035[/C][/ROW]
[ROW][C]20[/C][C]-0.080261[/C][C]-0.7179[/C][C]0.762538[/C][/ROW]
[ROW][C]21[/C][C]0.01974[/C][C]0.1766[/C][C]0.43015[/C][/ROW]
[ROW][C]22[/C][C]-0.114675[/C][C]-1.0257[/C][C]0.845933[/C][/ROW]
[ROW][C]23[/C][C]-0.09142[/C][C]-0.8177[/C][C]0.792016[/C][/ROW]
[ROW][C]24[/C][C]0.082341[/C][C]0.7365[/C][C]0.231797[/C][/ROW]
[ROW][C]25[/C][C]0.061818[/C][C]0.5529[/C][C]0.29093[/C][/ROW]
[ROW][C]26[/C][C]0.020535[/C][C]0.1837[/C][C]0.427369[/C][/ROW]
[ROW][C]27[/C][C]0.01591[/C][C]0.1423[/C][C]0.4436[/C][/ROW]
[ROW][C]28[/C][C]0.00318[/C][C]0.0284[/C][C]0.48869[/C][/ROW]
[ROW][C]29[/C][C]-0.015011[/C][C]-0.1343[/C][C]0.553233[/C][/ROW]
[ROW][C]30[/C][C]-0.005718[/C][C]-0.0511[/C][C]0.52033[/C][/ROW]
[ROW][C]31[/C][C]-0.009581[/C][C]-0.0857[/C][C]0.534039[/C][/ROW]
[ROW][C]32[/C][C]0.132094[/C][C]1.1815[/C][C]0.120456[/C][/ROW]
[ROW][C]33[/C][C]-0.025827[/C][C]-0.231[/C][C]0.591051[/C][/ROW]
[ROW][C]34[/C][C]0.065227[/C][C]0.5834[/C][C]0.28063[/C][/ROW]
[ROW][C]35[/C][C]0.036948[/C][C]0.3305[/C][C]0.370952[/C][/ROW]
[ROW][C]36[/C][C]-0.121802[/C][C]-1.0894[/C][C]0.860383[/C][/ROW]
[ROW][C]37[/C][C]-0.012285[/C][C]-0.1099[/C][C]0.543612[/C][/ROW]
[ROW][C]38[/C][C]-0.081899[/C][C]-0.7325[/C][C]0.767007[/C][/ROW]
[ROW][C]39[/C][C]-0.020473[/C][C]-0.1831[/C][C]0.572416[/C][/ROW]
[ROW][C]40[/C][C]-0.07408[/C][C]-0.6626[/C][C]0.745252[/C][/ROW]
[ROW][C]41[/C][C]-0.034824[/C][C]-0.3115[/C][C]0.621877[/C][/ROW]
[ROW][C]42[/C][C]-0.085422[/C][C]-0.764[/C][C]0.776454[/C][/ROW]
[ROW][C]43[/C][C]0.03298[/C][C]0.295[/C][C]0.384386[/C][/ROW]
[ROW][C]44[/C][C]-0.050735[/C][C]-0.4538[/C][C]0.674393[/C][/ROW]
[ROW][C]45[/C][C]-0.063031[/C][C]-0.5638[/C][C]0.712754[/C][/ROW]
[ROW][C]46[/C][C]-0.029493[/C][C]-0.2638[/C][C]0.603691[/C][/ROW]
[ROW][C]47[/C][C]-0.002939[/C][C]-0.0263[/C][C]0.510454[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7203&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7203&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	0.348654	3.1185	0.001263
1	-0.205233	-1.8357	0.964938
2	0.059021	0.5279	0.299516
3	-0.013459	-0.1204	0.54776
4	-0.109184	-0.9766	0.834138
5	-0.046153	-0.4128	0.659574
6	-0.032001	-0.2862	0.612278
7	0.242254	2.1668	0.016613
8	-0.132458	-1.1847	0.880185
9	-0.006102	-0.0546	0.521695
10	0.092515	0.8275	0.205214
11	0.16453	1.4716	0.072525
12	-0.218416	-1.9536	0.972876
13	0.017897	0.1601	0.436614
14	-0.046201	-0.4132	0.65973
15	-0.22306	-1.9951	0.975282
16	0.131579	1.1769	0.121366
17	-0.059567	-0.5328	0.702169
18	0.195702	1.7504	0.04194
19	-0.085264	-0.7626	0.776035
20	-0.080261	-0.7179	0.762538
21	0.01974	0.1766	0.43015
22	-0.114675	-1.0257	0.845933
23	-0.09142	-0.8177	0.792016
24	0.082341	0.7365	0.231797
25	0.061818	0.5529	0.29093
26	0.020535	0.1837	0.427369
27	0.01591	0.1423	0.4436
28	0.00318	0.0284	0.48869
29	-0.015011	-0.1343	0.553233
30	-0.005718	-0.0511	0.52033
31	-0.009581	-0.0857	0.534039
32	0.132094	1.1815	0.120456
33	-0.025827	-0.231	0.591051
34	0.065227	0.5834	0.28063
35	0.036948	0.3305	0.370952
36	-0.121802	-1.0894	0.860383
37	-0.012285	-0.1099	0.543612
38	-0.081899	-0.7325	0.767007
39	-0.020473	-0.1831	0.572416
40	-0.07408	-0.6626	0.745252
41	-0.034824	-0.3115	0.621877
42	-0.085422	-0.764	0.776454
43	0.03298	0.295	0.384386
44	-0.050735	-0.4538	0.674393
45	-0.063031	-0.5638	0.712754
46	-0.029493	-0.2638	0.603691
47	-0.002939	-0.0263	0.510454

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

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