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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, 24 Nov 2009 13:12:27 -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/Nov/24/t1259093992pz1toz22z0cak6o.htm/, Retrieved Mon, 22 Jul 2024 20:01:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59262, Retrieved Mon, 22 Jul 2024 20:01:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact250
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] [2009-11-24 20:12:27] [f0f26816ac6124f58333f11f6c174000] [Current]
-    D            [(Partial) Autocorrelation Function] [SHw WS8] [2009-11-25 18:52:43] [af2352cd9a951bedd08ebe247d0de1a2]
- RMP               [Variance Reduction Matrix] [] [2009-12-11 17:08:26] [09f192433169b2c787c4a71fde86e883]
- RMP               [Spectral Analysis] [] [2009-12-11 17:10:53] [09f192433169b2c787c4a71fde86e883]
- RMP               [Univariate Data Series] [] [2009-12-11 17:23:55] [09f192433169b2c787c4a71fde86e883]
- RMPD              [Bivariate Granger Causality] [] [2009-12-11 18:06:37] [09f192433169b2c787c4a71fde86e883]
- RMPD              [Bivariate Granger Causality] [] [2009-12-11 18:09:47] [09f192433169b2c787c4a71fde86e883]
- RMPD              [Bivariate Granger Causality] [] [2009-12-11 18:26:06] [09f192433169b2c787c4a71fde86e883]
- RMPD                [Variance Reduction Matrix] [] [2009-12-17 11:59:50] [09f192433169b2c787c4a71fde86e883]
- RMPD                [Spectral Analysis] [] [2009-12-17 12:13:14] [09f192433169b2c787c4a71fde86e883]
- RMPD                [Spectral Analysis] [] [2009-12-17 12:14:53] [09f192433169b2c787c4a71fde86e883]
- RMPD                [Standard Deviation-Mean Plot] [] [2009-12-17 12:17:22] [09f192433169b2c787c4a71fde86e883]
- RMPD                [ARIMA Backward Selection] [] [2009-12-17 12:23:25] [09f192433169b2c787c4a71fde86e883]
-                 [(Partial) Autocorrelation Function] [] [2009-11-27 09:48:50] [08fc5c07292c885b941f0cb515ce13f3]
-    D            [(Partial) Autocorrelation Function] [WS8(1)] [2009-11-27 10:20:58] [7d268329e554b8694908ba13e6e6f258]
-   PD              [(Partial) Autocorrelation Function] [WS8(2)] [2009-11-27 10:31:59] [7d268329e554b8694908ba13e6e6f258]
F   P                 [(Partial) Autocorrelation Function] [WS8(3)] [2009-11-27 10:38:53] [7d268329e554b8694908ba13e6e6f258]
-   P                   [(Partial) Autocorrelation Function] [WS8(5)] [2009-11-27 11:03:35] [7d268329e554b8694908ba13e6e6f258]
-    D                    [(Partial) Autocorrelation Function] [link] [2009-12-03 15:24:13] [960f506a46b790b06fab7ca57984a121]
-   P                     [(Partial) Autocorrelation Function] [WS 9 Estimation o...] [2009-12-05 12:49:26] [101f710c1bf3d900563184d79f7da6e1]
-   P                   [(Partial) Autocorrelation Function] [d=2 gebruiken] [2009-11-27 20:51:12] [cd6314e7e707a6546bd4604c9d1f2b69]
-   P                     [(Partial) Autocorrelation Function] [D=2 gebruiken] [2009-11-27 20:56:47] [cd6314e7e707a6546bd4604c9d1f2b69]
-                       [(Partial) Autocorrelation Function] [ACF 3] [2009-12-16 18:01:53] [7d268329e554b8694908ba13e6e6f258]
-   P                     [(Partial) Autocorrelation Function] [ACF4] [2009-12-17 15:37:59] [7d268329e554b8694908ba13e6e6f258]
-   P                   [(Partial) Autocorrelation Function] [ACF 3] [2009-12-16 18:10:14] [7d268329e554b8694908ba13e6e6f258]
-   P                 [(Partial) Autocorrelation Function] [Workshop 8: verbe...] [2009-12-03 16:48:30] [1433a524809eda02c3198b3ae6eebb69]
-                     [(Partial) Autocorrelation Function] [ACF 2] [2009-12-16 17:42:01] [7d268329e554b8694908ba13e6e6f258]
-    D              [(Partial) Autocorrelation Function] [ACF 1] [2009-12-16 17:24:53] [7d268329e554b8694908ba13e6e6f258]
-    D              [(Partial) Autocorrelation Function] [] [2009-12-20 11:19:07] [f57b281e621ed7dff28b90886f5aa97c]
-   PD            [(Partial) Autocorrelation Function] [paper timeserie A...] [2010-12-06 19:18:47] [814f53995537cd15c528d8efbf1cf544]
-    D            [(Partial) Autocorrelation Function] [paper timeserie A...] [2010-12-06 19:25:07] [814f53995537cd15c528d8efbf1cf544]
-   PD              [(Partial) Autocorrelation Function] [paper timeserie A...] [2010-12-06 19:51:05] [814f53995537cd15c528d8efbf1cf544]
- R  D              [(Partial) Autocorrelation Function] [] [2011-12-10 12:46:37] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
153.3
154.5
155.2
156.9
157
157.4
157.2
157.5
158
158.5
159
159.3
160
160.8
161.9
162.5
162.7
162.8
162.9
163
164
164.7
164.8
164.9
165
165.8
166.1
167.2
167.7
168.3
168.6
168.9
169.1
169.5
169.6
169.7
169.8
170.4
170.9
171.9
171.9
172
172
172.4
173
173.7
173.8
173.8
173.9
174.6
175
175.9
176
175.1
175.6
175.9
176.7
176.1
176.1
176.2
176.3
177.8
178.5
179.4
179.5
179.6
179.7
179.7
179.8
179.9
180.2
180.4
180.4
181.3
181.9
182.5
182.7
183.1
183.6
183.7
183.8
183.9
184.1
184.4
184.5
185.9
186.6
187.6
187.8
187.9
188
188.3
188.4
188.5
188.5
188.6
188.6
189.4
190
191.9
192.5
193
193.5
193.9
194.2
194.9
194.9
194.9
194.9
195.5
196
196.2
196.2
196.2
196.2
197
197.7
198
198.2
198.5
198.6
199.5
200
201.3
202.2
202.9
203.5
203.5
204
204.1
204.3
204.5
204.8
205.1
205.7
206.5
206.9
207.1
207.8
208
208.5
208.6
209
209.1
209.7
209.8
209.9
210
210.8
211.4
211.7
212
212.2
212.4
212.9
213.4
213.7
214
214.3
214.8
215
215.9
216.4
216.9
217.2
217.5
217.9
218.1
218.6
218.9
219.3
220.4
220.9
221
221.8
222
222.2
222.5
222.9
223.1
223.4
224
225.1
225.5
225.9
226.3
226.5
227
227.3
227.8
228.1
228.4
228.5
228.8
229
229.1
229.3
229.6
229.9
230
230.2
230.8
231
231.7
231.9
233
235.1
236
236.9
237.1
237.5
238.2
238.9
239.1
240
240.2
240.5
240.7
241.1
241.4
242.2
242.9
243.2
243.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=59262&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=59262&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59262&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.98488614.74040
20.97008114.51880
30.95530614.29770
40.94109714.08510
50.92696313.87350
60.9128113.66170
70.89847313.44710
80.88405313.23130
90.86967813.01610
100.8553212.80130
110.84117712.58960
120.82693512.37640
130.81285512.16570
140.79900811.95850
150.78540511.75490
160.77184611.55190
170.75842911.35110
180.74509611.15160
190.73227210.95960
200.71962310.77030
210.7071710.58390
220.69499410.40170
230.68269110.21760
240.67037910.03330
250.6578749.84620
260.6454159.65970
270.632929.47270
280.6206819.28950
290.608499.1070
300.5963188.92490
310.584118.74220
320.5718978.55940
330.5596018.37530
340.5473578.19210
350.5350248.00750
360.5226667.82260

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.984886 & 14.7404 & 0 \tabularnewline
2 & 0.970081 & 14.5188 & 0 \tabularnewline
3 & 0.955306 & 14.2977 & 0 \tabularnewline
4 & 0.941097 & 14.0851 & 0 \tabularnewline
5 & 0.926963 & 13.8735 & 0 \tabularnewline
6 & 0.91281 & 13.6617 & 0 \tabularnewline
7 & 0.898473 & 13.4471 & 0 \tabularnewline
8 & 0.884053 & 13.2313 & 0 \tabularnewline
9 & 0.869678 & 13.0161 & 0 \tabularnewline
10 & 0.85532 & 12.8013 & 0 \tabularnewline
11 & 0.841177 & 12.5896 & 0 \tabularnewline
12 & 0.826935 & 12.3764 & 0 \tabularnewline
13 & 0.812855 & 12.1657 & 0 \tabularnewline
14 & 0.799008 & 11.9585 & 0 \tabularnewline
15 & 0.785405 & 11.7549 & 0 \tabularnewline
16 & 0.771846 & 11.5519 & 0 \tabularnewline
17 & 0.758429 & 11.3511 & 0 \tabularnewline
18 & 0.745096 & 11.1516 & 0 \tabularnewline
19 & 0.732272 & 10.9596 & 0 \tabularnewline
20 & 0.719623 & 10.7703 & 0 \tabularnewline
21 & 0.70717 & 10.5839 & 0 \tabularnewline
22 & 0.694994 & 10.4017 & 0 \tabularnewline
23 & 0.682691 & 10.2176 & 0 \tabularnewline
24 & 0.670379 & 10.0333 & 0 \tabularnewline
25 & 0.657874 & 9.8462 & 0 \tabularnewline
26 & 0.645415 & 9.6597 & 0 \tabularnewline
27 & 0.63292 & 9.4727 & 0 \tabularnewline
28 & 0.620681 & 9.2895 & 0 \tabularnewline
29 & 0.60849 & 9.107 & 0 \tabularnewline
30 & 0.596318 & 8.9249 & 0 \tabularnewline
31 & 0.58411 & 8.7422 & 0 \tabularnewline
32 & 0.571897 & 8.5594 & 0 \tabularnewline
33 & 0.559601 & 8.3753 & 0 \tabularnewline
34 & 0.547357 & 8.1921 & 0 \tabularnewline
35 & 0.535024 & 8.0075 & 0 \tabularnewline
36 & 0.522666 & 7.8226 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59262&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]0.984886[/C][C]14.7404[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.970081[/C][C]14.5188[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.955306[/C][C]14.2977[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.941097[/C][C]14.0851[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.926963[/C][C]13.8735[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.91281[/C][C]13.6617[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.898473[/C][C]13.4471[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.884053[/C][C]13.2313[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.869678[/C][C]13.0161[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.85532[/C][C]12.8013[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.841177[/C][C]12.5896[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.826935[/C][C]12.3764[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.812855[/C][C]12.1657[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.799008[/C][C]11.9585[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.785405[/C][C]11.7549[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.771846[/C][C]11.5519[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.758429[/C][C]11.3511[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.745096[/C][C]11.1516[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.732272[/C][C]10.9596[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.719623[/C][C]10.7703[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.70717[/C][C]10.5839[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.694994[/C][C]10.4017[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.682691[/C][C]10.2176[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.670379[/C][C]10.0333[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.657874[/C][C]9.8462[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.645415[/C][C]9.6597[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.63292[/C][C]9.4727[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.620681[/C][C]9.2895[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.60849[/C][C]9.107[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0.596318[/C][C]8.9249[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0.58411[/C][C]8.7422[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0.571897[/C][C]8.5594[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0.559601[/C][C]8.3753[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0.547357[/C][C]8.1921[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0.535024[/C][C]8.0075[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0.522666[/C][C]7.8226[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59262&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59262&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 kACF(k)T-STATP-value
10.98488614.74040
20.97008114.51880
30.95530614.29770
40.94109714.08510
50.92696313.87350
60.9128113.66170
70.89847313.44710
80.88405313.23130
90.86967813.01610
100.8553212.80130
110.84117712.58960
120.82693512.37640
130.81285512.16570
140.79900811.95850
150.78540511.75490
160.77184611.55190
170.75842911.35110
180.74509611.15160
190.73227210.95960
200.71962310.77030
210.7071710.58390
220.69499410.40170
230.68269110.21760
240.67037910.03330
250.6578749.84620
260.6454159.65970
270.632929.47270
280.6206819.28950
290.608499.1070
300.5963188.92490
310.584118.74220
320.5718978.55940
330.5596018.37530
340.5473578.19210
350.5350248.00750
360.5226667.82260







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.98488614.74040
20.0026850.04020.483991
3-0.0064-0.09580.461891
40.011320.16940.432811
5-0.004443-0.06650.473523
6-0.007869-0.11780.453174
7-0.0132-0.19760.421786
8-0.010363-0.15510.438444
9-0.006193-0.09270.463117
10-0.007327-0.10970.456388
11-0.000704-0.01050.495798
12-0.010813-0.16180.435793
13-0.002341-0.0350.486043
140.0003690.00550.497797
150.0005450.00820.496747
16-0.005857-0.08770.465113
17-0.002615-0.03910.484407
18-0.004418-0.06610.473669
190.0094660.14170.443734
20-0.001191-0.01780.492896
21-0.000667-0.010.496024
220.0026080.0390.484452
23-0.010939-0.16370.435047
24-0.007437-0.11130.455734
25-0.013623-0.20390.419313
26-0.006408-0.09590.46184
27-0.008701-0.13020.448252
280.0006350.00950.496215
29-0.005436-0.08140.467613
30-0.006854-0.10260.459197
31-0.00811-0.12140.45175
32-0.007328-0.10970.45638
33-0.010208-0.15280.439352
34-0.005986-0.08960.464345
35-0.010623-0.1590.436909
36-0.008726-0.13060.448105

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.984886 & 14.7404 & 0 \tabularnewline
2 & 0.002685 & 0.0402 & 0.483991 \tabularnewline
3 & -0.0064 & -0.0958 & 0.461891 \tabularnewline
4 & 0.01132 & 0.1694 & 0.432811 \tabularnewline
5 & -0.004443 & -0.0665 & 0.473523 \tabularnewline
6 & -0.007869 & -0.1178 & 0.453174 \tabularnewline
7 & -0.0132 & -0.1976 & 0.421786 \tabularnewline
8 & -0.010363 & -0.1551 & 0.438444 \tabularnewline
9 & -0.006193 & -0.0927 & 0.463117 \tabularnewline
10 & -0.007327 & -0.1097 & 0.456388 \tabularnewline
11 & -0.000704 & -0.0105 & 0.495798 \tabularnewline
12 & -0.010813 & -0.1618 & 0.435793 \tabularnewline
13 & -0.002341 & -0.035 & 0.486043 \tabularnewline
14 & 0.000369 & 0.0055 & 0.497797 \tabularnewline
15 & 0.000545 & 0.0082 & 0.496747 \tabularnewline
16 & -0.005857 & -0.0877 & 0.465113 \tabularnewline
17 & -0.002615 & -0.0391 & 0.484407 \tabularnewline
18 & -0.004418 & -0.0661 & 0.473669 \tabularnewline
19 & 0.009466 & 0.1417 & 0.443734 \tabularnewline
20 & -0.001191 & -0.0178 & 0.492896 \tabularnewline
21 & -0.000667 & -0.01 & 0.496024 \tabularnewline
22 & 0.002608 & 0.039 & 0.484452 \tabularnewline
23 & -0.010939 & -0.1637 & 0.435047 \tabularnewline
24 & -0.007437 & -0.1113 & 0.455734 \tabularnewline
25 & -0.013623 & -0.2039 & 0.419313 \tabularnewline
26 & -0.006408 & -0.0959 & 0.46184 \tabularnewline
27 & -0.008701 & -0.1302 & 0.448252 \tabularnewline
28 & 0.000635 & 0.0095 & 0.496215 \tabularnewline
29 & -0.005436 & -0.0814 & 0.467613 \tabularnewline
30 & -0.006854 & -0.1026 & 0.459197 \tabularnewline
31 & -0.00811 & -0.1214 & 0.45175 \tabularnewline
32 & -0.007328 & -0.1097 & 0.45638 \tabularnewline
33 & -0.010208 & -0.1528 & 0.439352 \tabularnewline
34 & -0.005986 & -0.0896 & 0.464345 \tabularnewline
35 & -0.010623 & -0.159 & 0.436909 \tabularnewline
36 & -0.008726 & -0.1306 & 0.448105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59262&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]0.984886[/C][C]14.7404[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.002685[/C][C]0.0402[/C][C]0.483991[/C][/ROW]
[ROW][C]3[/C][C]-0.0064[/C][C]-0.0958[/C][C]0.461891[/C][/ROW]
[ROW][C]4[/C][C]0.01132[/C][C]0.1694[/C][C]0.432811[/C][/ROW]
[ROW][C]5[/C][C]-0.004443[/C][C]-0.0665[/C][C]0.473523[/C][/ROW]
[ROW][C]6[/C][C]-0.007869[/C][C]-0.1178[/C][C]0.453174[/C][/ROW]
[ROW][C]7[/C][C]-0.0132[/C][C]-0.1976[/C][C]0.421786[/C][/ROW]
[ROW][C]8[/C][C]-0.010363[/C][C]-0.1551[/C][C]0.438444[/C][/ROW]
[ROW][C]9[/C][C]-0.006193[/C][C]-0.0927[/C][C]0.463117[/C][/ROW]
[ROW][C]10[/C][C]-0.007327[/C][C]-0.1097[/C][C]0.456388[/C][/ROW]
[ROW][C]11[/C][C]-0.000704[/C][C]-0.0105[/C][C]0.495798[/C][/ROW]
[ROW][C]12[/C][C]-0.010813[/C][C]-0.1618[/C][C]0.435793[/C][/ROW]
[ROW][C]13[/C][C]-0.002341[/C][C]-0.035[/C][C]0.486043[/C][/ROW]
[ROW][C]14[/C][C]0.000369[/C][C]0.0055[/C][C]0.497797[/C][/ROW]
[ROW][C]15[/C][C]0.000545[/C][C]0.0082[/C][C]0.496747[/C][/ROW]
[ROW][C]16[/C][C]-0.005857[/C][C]-0.0877[/C][C]0.465113[/C][/ROW]
[ROW][C]17[/C][C]-0.002615[/C][C]-0.0391[/C][C]0.484407[/C][/ROW]
[ROW][C]18[/C][C]-0.004418[/C][C]-0.0661[/C][C]0.473669[/C][/ROW]
[ROW][C]19[/C][C]0.009466[/C][C]0.1417[/C][C]0.443734[/C][/ROW]
[ROW][C]20[/C][C]-0.001191[/C][C]-0.0178[/C][C]0.492896[/C][/ROW]
[ROW][C]21[/C][C]-0.000667[/C][C]-0.01[/C][C]0.496024[/C][/ROW]
[ROW][C]22[/C][C]0.002608[/C][C]0.039[/C][C]0.484452[/C][/ROW]
[ROW][C]23[/C][C]-0.010939[/C][C]-0.1637[/C][C]0.435047[/C][/ROW]
[ROW][C]24[/C][C]-0.007437[/C][C]-0.1113[/C][C]0.455734[/C][/ROW]
[ROW][C]25[/C][C]-0.013623[/C][C]-0.2039[/C][C]0.419313[/C][/ROW]
[ROW][C]26[/C][C]-0.006408[/C][C]-0.0959[/C][C]0.46184[/C][/ROW]
[ROW][C]27[/C][C]-0.008701[/C][C]-0.1302[/C][C]0.448252[/C][/ROW]
[ROW][C]28[/C][C]0.000635[/C][C]0.0095[/C][C]0.496215[/C][/ROW]
[ROW][C]29[/C][C]-0.005436[/C][C]-0.0814[/C][C]0.467613[/C][/ROW]
[ROW][C]30[/C][C]-0.006854[/C][C]-0.1026[/C][C]0.459197[/C][/ROW]
[ROW][C]31[/C][C]-0.00811[/C][C]-0.1214[/C][C]0.45175[/C][/ROW]
[ROW][C]32[/C][C]-0.007328[/C][C]-0.1097[/C][C]0.45638[/C][/ROW]
[ROW][C]33[/C][C]-0.010208[/C][C]-0.1528[/C][C]0.439352[/C][/ROW]
[ROW][C]34[/C][C]-0.005986[/C][C]-0.0896[/C][C]0.464345[/C][/ROW]
[ROW][C]35[/C][C]-0.010623[/C][C]-0.159[/C][C]0.436909[/C][/ROW]
[ROW][C]36[/C][C]-0.008726[/C][C]-0.1306[/C][C]0.448105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59262&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59262&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 kPACF(k)T-STATP-value
10.98488614.74040
20.0026850.04020.483991
3-0.0064-0.09580.461891
40.011320.16940.432811
5-0.004443-0.06650.473523
6-0.007869-0.11780.453174
7-0.0132-0.19760.421786
8-0.010363-0.15510.438444
9-0.006193-0.09270.463117
10-0.007327-0.10970.456388
11-0.000704-0.01050.495798
12-0.010813-0.16180.435793
13-0.002341-0.0350.486043
140.0003690.00550.497797
150.0005450.00820.496747
16-0.005857-0.08770.465113
17-0.002615-0.03910.484407
18-0.004418-0.06610.473669
190.0094660.14170.443734
20-0.001191-0.01780.492896
21-0.000667-0.010.496024
220.0026080.0390.484452
23-0.010939-0.16370.435047
24-0.007437-0.11130.455734
25-0.013623-0.20390.419313
26-0.006408-0.09590.46184
27-0.008701-0.13020.448252
280.0006350.00950.496215
29-0.005436-0.08140.467613
30-0.006854-0.10260.459197
31-0.00811-0.12140.45175
32-0.007328-0.10970.45638
33-0.010208-0.15280.439352
34-0.005986-0.08960.464345
35-0.010623-0.1590.436909
36-0.008726-0.13060.448105



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')