FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 15 Dec 2009 03:58:22 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/15/t1260874838h868o9r1okkgj77.htm/, Retrieved Wed, 08 May 2024 10:14:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=67837, Retrieved Wed, 08 May 2024 10:14:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

Tree of Dependent Computations

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]
-    D        [(Partial) Autocorrelation Function] [WS8 D=0 en d=0] [2009-11-25 16:06:53] [445b292c553470d9fed8bc2796fd3a00]
-    D          [(Partial) Autocorrelation Function] [ws 8 d=0 D=0] [2009-11-25 20:46:27] [134dc66689e3d457a82860db6471d419]
-    D            [(Partial) Autocorrelation Function] [WS 8 d = 0 en D = 0] [2009-11-26 20:15:56] [3425351e86519d261a643e224a0c8ee1]
-    D              [(Partial) Autocorrelation Function] [d=0 D=0] [2009-12-07 18:11:31] [3425351e86519d261a643e224a0c8ee1]
-    D                  [(Partial) Autocorrelation Function] [Paper ACF d=0 D=0] [2009-12-15 10:58:22] [17416e80e7873ecccac25c455c5f767e] [Current]
-   PD                    [(Partial) Autocorrelation Function] [ACF d=1 D=1] [2009-12-15 19:35:54] [3425351e86519d261a643e224a0c8ee1]
-    D                    [(Partial) Autocorrelation Function] [] [2009-12-16 15:57:43] [3425351e86519d261a643e224a0c8ee1]
-   PD                      [(Partial) Autocorrelation Function] [D=0 d=1] [2009-12-16 16:06:47] [3425351e86519d261a643e224a0c8ee1]
-    D                        [(Partial) Autocorrelation Function] [ACF d = 1 en D = 0] [2009-12-21 01:13:47] [76ab39dc7a55316678260825bd5ad46c]
-   PD                      [(Partial) Autocorrelation Function] [D=1 d=1] [2009-12-16 16:10:37] [3425351e86519d261a643e224a0c8ee1]
-    D                        [(Partial) Autocorrelation Function] [ACF d = 1 en D = 1] [2009-12-21 01:28:39] [76ab39dc7a55316678260825bd5ad46c]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103,1
102,0
104,7
86,0
92,1
106,9
112,6
101,7
92,0
97,4
97,0
105,4
102,7
98,1
104,5
87,4
89,9
109,8
111,7
98,6
96,9
95,1
97,0
112,7
102,9
97,4
111,4
87,4
96,8
114,1
110,3
103,9
101,6
94,6
95,9
104,7
102,8
98,1
113,9
80,9
95,7
113,2
105,9
108,8
102,3
99,0
100,7
115,5
100,7
109,9
114,6
85,4
100,5
114,8
116,5
112,9
102,0
106,0
105,3
118,8
106,1
109,3
117,2
92,5
104,2
112,5
122,4
113,3
100,0
110,7
112,8
109,8
117,3
109,1
115,9
96,0
99,8
116,8
115,7
99,4
94,3
91,0
93,2
103,1
94,1
91,8
102,7
82,6
89,1
104,5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67837&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]3 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=67837&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67837&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2352112.23140.014069
2-0.074096-0.70290.241956
30.0976090.9260.178462
40.0494830.46940.319946
50.3083472.92520.002178
60.3879033.680.000199
70.2008711.90560.029945
80.0043410.04120.48362
9-0.054307-0.51520.303838
10-0.255096-2.42010.008764
110.0696620.66090.255191
120.5960165.65430
133.5e-053e-040.499867
14-0.234629-2.22590.01426
15-0.141852-1.34570.090885
16-0.136045-1.29060.100068
170.1259111.19450.117712
180.1477731.40190.082192
190.0519260.49260.311741
20-0.09984-0.94720.173046
21-0.15654-1.48510.07051
22-0.290392-2.75490.003552
230.0027730.02630.489535
240.4131193.91928.6e-05
25-0.052702-0.50.309158
26-0.244104-2.31580.011422
27-0.176409-1.67360.048845
28-0.170493-1.61740.054641
290.0392120.3720.355384
300.0721680.68460.247664
310.0239910.22760.410238
32-0.121557-1.15320.125943
33-0.187752-1.78120.039129
34-0.249894-2.37070.009944
35-0.057034-0.54110.294896
360.3229823.06410.00144

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.235211 & 2.2314 & 0.014069 \tabularnewline
2 & -0.074096 & -0.7029 & 0.241956 \tabularnewline
3 & 0.097609 & 0.926 & 0.178462 \tabularnewline
4 & 0.049483 & 0.4694 & 0.319946 \tabularnewline
5 & 0.308347 & 2.9252 & 0.002178 \tabularnewline
6 & 0.387903 & 3.68 & 0.000199 \tabularnewline
7 & 0.200871 & 1.9056 & 0.029945 \tabularnewline
8 & 0.004341 & 0.0412 & 0.48362 \tabularnewline
9 & -0.054307 & -0.5152 & 0.303838 \tabularnewline
10 & -0.255096 & -2.4201 & 0.008764 \tabularnewline
11 & 0.069662 & 0.6609 & 0.255191 \tabularnewline
12 & 0.596016 & 5.6543 & 0 \tabularnewline
13 & 3.5e-05 & 3e-04 & 0.499867 \tabularnewline
14 & -0.234629 & -2.2259 & 0.01426 \tabularnewline
15 & -0.141852 & -1.3457 & 0.090885 \tabularnewline
16 & -0.136045 & -1.2906 & 0.100068 \tabularnewline
17 & 0.125911 & 1.1945 & 0.117712 \tabularnewline
18 & 0.147773 & 1.4019 & 0.082192 \tabularnewline
19 & 0.051926 & 0.4926 & 0.311741 \tabularnewline
20 & -0.09984 & -0.9472 & 0.173046 \tabularnewline
21 & -0.15654 & -1.4851 & 0.07051 \tabularnewline
22 & -0.290392 & -2.7549 & 0.003552 \tabularnewline
23 & 0.002773 & 0.0263 & 0.489535 \tabularnewline
24 & 0.413119 & 3.9192 & 8.6e-05 \tabularnewline
25 & -0.052702 & -0.5 & 0.309158 \tabularnewline
26 & -0.244104 & -2.3158 & 0.011422 \tabularnewline
27 & -0.176409 & -1.6736 & 0.048845 \tabularnewline
28 & -0.170493 & -1.6174 & 0.054641 \tabularnewline
29 & 0.039212 & 0.372 & 0.355384 \tabularnewline
30 & 0.072168 & 0.6846 & 0.247664 \tabularnewline
31 & 0.023991 & 0.2276 & 0.410238 \tabularnewline
32 & -0.121557 & -1.1532 & 0.125943 \tabularnewline
33 & -0.187752 & -1.7812 & 0.039129 \tabularnewline
34 & -0.249894 & -2.3707 & 0.009944 \tabularnewline
35 & -0.057034 & -0.5411 & 0.294896 \tabularnewline
36 & 0.322982 & 3.0641 & 0.00144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67837&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]0.235211[/C][C]2.2314[/C][C]0.014069[/C][/ROW]
[ROW][C]2[/C][C]-0.074096[/C][C]-0.7029[/C][C]0.241956[/C][/ROW]
[ROW][C]3[/C][C]0.097609[/C][C]0.926[/C][C]0.178462[/C][/ROW]
[ROW][C]4[/C][C]0.049483[/C][C]0.4694[/C][C]0.319946[/C][/ROW]
[ROW][C]5[/C][C]0.308347[/C][C]2.9252[/C][C]0.002178[/C][/ROW]
[ROW][C]6[/C][C]0.387903[/C][C]3.68[/C][C]0.000199[/C][/ROW]
[ROW][C]7[/C][C]0.200871[/C][C]1.9056[/C][C]0.029945[/C][/ROW]
[ROW][C]8[/C][C]0.004341[/C][C]0.0412[/C][C]0.48362[/C][/ROW]
[ROW][C]9[/C][C]-0.054307[/C][C]-0.5152[/C][C]0.303838[/C][/ROW]
[ROW][C]10[/C][C]-0.255096[/C][C]-2.4201[/C][C]0.008764[/C][/ROW]
[ROW][C]11[/C][C]0.069662[/C][C]0.6609[/C][C]0.255191[/C][/ROW]
[ROW][C]12[/C][C]0.596016[/C][C]5.6543[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]3.5e-05[/C][C]3e-04[/C][C]0.499867[/C][/ROW]
[ROW][C]14[/C][C]-0.234629[/C][C]-2.2259[/C][C]0.01426[/C][/ROW]
[ROW][C]15[/C][C]-0.141852[/C][C]-1.3457[/C][C]0.090885[/C][/ROW]
[ROW][C]16[/C][C]-0.136045[/C][C]-1.2906[/C][C]0.100068[/C][/ROW]
[ROW][C]17[/C][C]0.125911[/C][C]1.1945[/C][C]0.117712[/C][/ROW]
[ROW][C]18[/C][C]0.147773[/C][C]1.4019[/C][C]0.082192[/C][/ROW]
[ROW][C]19[/C][C]0.051926[/C][C]0.4926[/C][C]0.311741[/C][/ROW]
[ROW][C]20[/C][C]-0.09984[/C][C]-0.9472[/C][C]0.173046[/C][/ROW]
[ROW][C]21[/C][C]-0.15654[/C][C]-1.4851[/C][C]0.07051[/C][/ROW]
[ROW][C]22[/C][C]-0.290392[/C][C]-2.7549[/C][C]0.003552[/C][/ROW]
[ROW][C]23[/C][C]0.002773[/C][C]0.0263[/C][C]0.489535[/C][/ROW]
[ROW][C]24[/C][C]0.413119[/C][C]3.9192[/C][C]8.6e-05[/C][/ROW]
[ROW][C]25[/C][C]-0.052702[/C][C]-0.5[/C][C]0.309158[/C][/ROW]
[ROW][C]26[/C][C]-0.244104[/C][C]-2.3158[/C][C]0.011422[/C][/ROW]
[ROW][C]27[/C][C]-0.176409[/C][C]-1.6736[/C][C]0.048845[/C][/ROW]
[ROW][C]28[/C][C]-0.170493[/C][C]-1.6174[/C][C]0.054641[/C][/ROW]
[ROW][C]29[/C][C]0.039212[/C][C]0.372[/C][C]0.355384[/C][/ROW]
[ROW][C]30[/C][C]0.072168[/C][C]0.6846[/C][C]0.247664[/C][/ROW]
[ROW][C]31[/C][C]0.023991[/C][C]0.2276[/C][C]0.410238[/C][/ROW]
[ROW][C]32[/C][C]-0.121557[/C][C]-1.1532[/C][C]0.125943[/C][/ROW]
[ROW][C]33[/C][C]-0.187752[/C][C]-1.7812[/C][C]0.039129[/C][/ROW]
[ROW][C]34[/C][C]-0.249894[/C][C]-2.3707[/C][C]0.009944[/C][/ROW]
[ROW][C]35[/C][C]-0.057034[/C][C]-0.5411[/C][C]0.294896[/C][/ROW]
[ROW][C]36[/C][C]0.322982[/C][C]3.0641[/C][C]0.00144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67837&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67837&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2352112.23140.014069
2-0.074096-0.70290.241956
30.0976090.9260.178462
40.0494830.46940.319946
50.3083472.92520.002178
60.3879033.680.000199
70.2008711.90560.029945
80.0043410.04120.48362
9-0.054307-0.51520.303838
10-0.255096-2.42010.008764
110.0696620.66090.255191
120.5960165.65430
133.5e-053e-040.499867
14-0.234629-2.22590.01426
15-0.141852-1.34570.090885
16-0.136045-1.29060.100068
170.1259111.19450.117712
180.1477731.40190.082192
190.0519260.49260.311741
20-0.09984-0.94720.173046
21-0.15654-1.48510.07051
22-0.290392-2.75490.003552
230.0027730.02630.489535
240.4131193.91928.6e-05
25-0.052702-0.50.309158
26-0.244104-2.31580.011422
27-0.176409-1.67360.048845
28-0.170493-1.61740.054641
290.0392120.3720.355384
300.0721680.68460.247664
310.0239910.22760.410238
32-0.121557-1.15320.125943
33-0.187752-1.78120.039129
34-0.249894-2.37070.009944
35-0.057034-0.54110.294896
360.3229823.06410.00144






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2352112.23140.014069
2-0.136999-1.29970.098514
30.1614421.53160.064567
4-0.033344-0.31630.376242
50.3686543.49740.000366
60.2372432.25070.013421
70.2002361.89960.030343
8-0.063928-0.60650.272862
9-0.075128-0.71270.238928
10-0.5321-5.04791e-06
11-0.056876-0.53960.29541
120.498264.72694e-06
13-0.157139-1.49080.069762
14-0.055957-0.53090.298414
15-0.082297-0.78070.218503
160.1023620.97110.167054
17-0.085554-0.81160.20957
18-0.101716-0.9650.168575
190.0906070.85960.196155
20-0.070952-0.67310.251301
210.0613080.58160.281139
22-0.013287-0.12610.449986
230.0083810.07950.468402
24-0.0124-0.11760.45331
25-0.059276-0.56230.287641
26-0.043237-0.41020.341323
27-0.026188-0.24840.40218
28-0.097147-0.92160.179596
29-0.104294-0.98940.162555
300.016810.15950.436828
310.0842730.79950.213059
32-0.004866-0.04620.481641
33-0.005315-0.05040.479948
340.1206381.14450.127732
35-0.143186-1.35840.088869
360.0408370.38740.349682

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.235211 & 2.2314 & 0.014069 \tabularnewline
2 & -0.136999 & -1.2997 & 0.098514 \tabularnewline
3 & 0.161442 & 1.5316 & 0.064567 \tabularnewline
4 & -0.033344 & -0.3163 & 0.376242 \tabularnewline
5 & 0.368654 & 3.4974 & 0.000366 \tabularnewline
6 & 0.237243 & 2.2507 & 0.013421 \tabularnewline
7 & 0.200236 & 1.8996 & 0.030343 \tabularnewline
8 & -0.063928 & -0.6065 & 0.272862 \tabularnewline
9 & -0.075128 & -0.7127 & 0.238928 \tabularnewline
10 & -0.5321 & -5.0479 & 1e-06 \tabularnewline
11 & -0.056876 & -0.5396 & 0.29541 \tabularnewline
12 & 0.49826 & 4.7269 & 4e-06 \tabularnewline
13 & -0.157139 & -1.4908 & 0.069762 \tabularnewline
14 & -0.055957 & -0.5309 & 0.298414 \tabularnewline
15 & -0.082297 & -0.7807 & 0.218503 \tabularnewline
16 & 0.102362 & 0.9711 & 0.167054 \tabularnewline
17 & -0.085554 & -0.8116 & 0.20957 \tabularnewline
18 & -0.101716 & -0.965 & 0.168575 \tabularnewline
19 & 0.090607 & 0.8596 & 0.196155 \tabularnewline
20 & -0.070952 & -0.6731 & 0.251301 \tabularnewline
21 & 0.061308 & 0.5816 & 0.281139 \tabularnewline
22 & -0.013287 & -0.1261 & 0.449986 \tabularnewline
23 & 0.008381 & 0.0795 & 0.468402 \tabularnewline
24 & -0.0124 & -0.1176 & 0.45331 \tabularnewline
25 & -0.059276 & -0.5623 & 0.287641 \tabularnewline
26 & -0.043237 & -0.4102 & 0.341323 \tabularnewline
27 & -0.026188 & -0.2484 & 0.40218 \tabularnewline
28 & -0.097147 & -0.9216 & 0.179596 \tabularnewline
29 & -0.104294 & -0.9894 & 0.162555 \tabularnewline
30 & 0.01681 & 0.1595 & 0.436828 \tabularnewline
31 & 0.084273 & 0.7995 & 0.213059 \tabularnewline
32 & -0.004866 & -0.0462 & 0.481641 \tabularnewline
33 & -0.005315 & -0.0504 & 0.479948 \tabularnewline
34 & 0.120638 & 1.1445 & 0.127732 \tabularnewline
35 & -0.143186 & -1.3584 & 0.088869 \tabularnewline
36 & 0.040837 & 0.3874 & 0.349682 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67837&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]0.235211[/C][C]2.2314[/C][C]0.014069[/C][/ROW]
[ROW][C]2[/C][C]-0.136999[/C][C]-1.2997[/C][C]0.098514[/C][/ROW]
[ROW][C]3[/C][C]0.161442[/C][C]1.5316[/C][C]0.064567[/C][/ROW]
[ROW][C]4[/C][C]-0.033344[/C][C]-0.3163[/C][C]0.376242[/C][/ROW]
[ROW][C]5[/C][C]0.368654[/C][C]3.4974[/C][C]0.000366[/C][/ROW]
[ROW][C]6[/C][C]0.237243[/C][C]2.2507[/C][C]0.013421[/C][/ROW]
[ROW][C]7[/C][C]0.200236[/C][C]1.8996[/C][C]0.030343[/C][/ROW]
[ROW][C]8[/C][C]-0.063928[/C][C]-0.6065[/C][C]0.272862[/C][/ROW]
[ROW][C]9[/C][C]-0.075128[/C][C]-0.7127[/C][C]0.238928[/C][/ROW]
[ROW][C]10[/C][C]-0.5321[/C][C]-5.0479[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]-0.056876[/C][C]-0.5396[/C][C]0.29541[/C][/ROW]
[ROW][C]12[/C][C]0.49826[/C][C]4.7269[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.157139[/C][C]-1.4908[/C][C]0.069762[/C][/ROW]
[ROW][C]14[/C][C]-0.055957[/C][C]-0.5309[/C][C]0.298414[/C][/ROW]
[ROW][C]15[/C][C]-0.082297[/C][C]-0.7807[/C][C]0.218503[/C][/ROW]
[ROW][C]16[/C][C]0.102362[/C][C]0.9711[/C][C]0.167054[/C][/ROW]
[ROW][C]17[/C][C]-0.085554[/C][C]-0.8116[/C][C]0.20957[/C][/ROW]
[ROW][C]18[/C][C]-0.101716[/C][C]-0.965[/C][C]0.168575[/C][/ROW]
[ROW][C]19[/C][C]0.090607[/C][C]0.8596[/C][C]0.196155[/C][/ROW]
[ROW][C]20[/C][C]-0.070952[/C][C]-0.6731[/C][C]0.251301[/C][/ROW]
[ROW][C]21[/C][C]0.061308[/C][C]0.5816[/C][C]0.281139[/C][/ROW]
[ROW][C]22[/C][C]-0.013287[/C][C]-0.1261[/C][C]0.449986[/C][/ROW]
[ROW][C]23[/C][C]0.008381[/C][C]0.0795[/C][C]0.468402[/C][/ROW]
[ROW][C]24[/C][C]-0.0124[/C][C]-0.1176[/C][C]0.45331[/C][/ROW]
[ROW][C]25[/C][C]-0.059276[/C][C]-0.5623[/C][C]0.287641[/C][/ROW]
[ROW][C]26[/C][C]-0.043237[/C][C]-0.4102[/C][C]0.341323[/C][/ROW]
[ROW][C]27[/C][C]-0.026188[/C][C]-0.2484[/C][C]0.40218[/C][/ROW]
[ROW][C]28[/C][C]-0.097147[/C][C]-0.9216[/C][C]0.179596[/C][/ROW]
[ROW][C]29[/C][C]-0.104294[/C][C]-0.9894[/C][C]0.162555[/C][/ROW]
[ROW][C]30[/C][C]0.01681[/C][C]0.1595[/C][C]0.436828[/C][/ROW]
[ROW][C]31[/C][C]0.084273[/C][C]0.7995[/C][C]0.213059[/C][/ROW]
[ROW][C]32[/C][C]-0.004866[/C][C]-0.0462[/C][C]0.481641[/C][/ROW]
[ROW][C]33[/C][C]-0.005315[/C][C]-0.0504[/C][C]0.479948[/C][/ROW]
[ROW][C]34[/C][C]0.120638[/C][C]1.1445[/C][C]0.127732[/C][/ROW]
[ROW][C]35[/C][C]-0.143186[/C][C]-1.3584[/C][C]0.088869[/C][/ROW]
[ROW][C]36[/C][C]0.040837[/C][C]0.3874[/C][C]0.349682[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67837&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67837&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2352112.23140.014069
2-0.136999-1.29970.098514
30.1614421.53160.064567
4-0.033344-0.31630.376242
50.3686543.49740.000366
60.2372432.25070.013421
70.2002361.89960.030343
8-0.063928-0.60650.272862
9-0.075128-0.71270.238928
10-0.5321-5.04791e-06
11-0.056876-0.53960.29541
120.498264.72694e-06
13-0.157139-1.49080.069762
14-0.055957-0.53090.298414
15-0.082297-0.78070.218503
160.1023620.97110.167054
17-0.085554-0.81160.20957
18-0.101716-0.9650.168575
190.0906070.85960.196155
20-0.070952-0.67310.251301
210.0613080.58160.281139
22-0.013287-0.12610.449986
230.0083810.07950.468402
24-0.0124-0.11760.45331
25-0.059276-0.56230.287641
26-0.043237-0.41020.341323
27-0.026188-0.24840.40218
28-0.097147-0.92160.179596
29-0.104294-0.98940.162555
300.016810.15950.436828
310.0842730.79950.213059
32-0.004866-0.04620.481641
33-0.005315-0.05040.479948
340.1206381.14450.127732
35-0.143186-1.35840.088869
360.0408370.38740.349682


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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')