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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 19 Aug 2010 14:02:03 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/19/t1282226556epy8xtmb919h2je.htm/, Retrieved Thu, 31 Oct 2024 22:55:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79299, Retrieved Thu, 31 Oct 2024 22:55:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWillem Van Tendeloo MAR 201 A
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Tijdreeks A Stap 20] [2010-08-19 14:02:03] [6b796205aa6c71fffca3ea7e892beea1] [Current]
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Dataseries X:
252
251
250
248
268
267
252
242
243
243
244
246
236
241
240
239
253
249
232
229
221
222
224
224
215
225
225
221
238
234
228
227
216
219
225
227
205
215
214
209
222
216
206
199
189
198
203
211
199
211
210
203
214
202
193
193
176
192
200
195
180
197
194
194
212
202
195
198
170
187
190
189
176
188
195
194
211
203
194
194
163
183
181
184
171
178
179
186
205
204
195
186
156
167
164
165
153
160
154
169
186
188
187
169
131
146
145
137
119
118
113
123
142
141
138
124
83
100
96
98




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=79299&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=79299&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79299&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
10.91819610.05830
20.8480189.28960
30.7849358.59850
40.7167827.8520
50.6872277.52820
60.6667417.30380
70.6352936.95930
80.6120246.70440
90.5916536.48120
100.5695716.23930
110.5579646.11220
120.5581726.11450
130.4971675.44620
140.4516114.94711e-06
150.4055074.44211e-05
160.3527643.86439.1e-05
170.3387913.71130.000157
180.3325213.64262e-04
190.3170073.47260.000359
200.3099933.39580.000464
210.302543.31420.000608
220.2920263.1990.000882
230.2956623.23880.000776
240.3059723.35180.000537
250.2660362.91430.002127
260.2362062.58750.00543
270.2000582.19150.015172
280.1594351.74650.04164
290.1540241.68730.047076
300.1471591.61210.054789
310.135631.48580.069984
320.1332681.45990.073468
330.1249611.36890.086798
340.1165951.27720.101992
350.1192561.30640.096959
360.1272151.39360.083011
370.1004361.10020.136719
380.083380.91340.181438
390.0586710.64270.260818
400.0229940.25190.400781
410.0236630.25920.397957
420.014410.15790.437419
430.0052560.05760.477093
440.012070.13220.447517
450.0089830.09840.460888
460.0089320.09780.461109
470.017230.18870.425308
480.0224580.2460.403046

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.918196 & 10.0583 & 0 \tabularnewline
2 & 0.848018 & 9.2896 & 0 \tabularnewline
3 & 0.784935 & 8.5985 & 0 \tabularnewline
4 & 0.716782 & 7.852 & 0 \tabularnewline
5 & 0.687227 & 7.5282 & 0 \tabularnewline
6 & 0.666741 & 7.3038 & 0 \tabularnewline
7 & 0.635293 & 6.9593 & 0 \tabularnewline
8 & 0.612024 & 6.7044 & 0 \tabularnewline
9 & 0.591653 & 6.4812 & 0 \tabularnewline
10 & 0.569571 & 6.2393 & 0 \tabularnewline
11 & 0.557964 & 6.1122 & 0 \tabularnewline
12 & 0.558172 & 6.1145 & 0 \tabularnewline
13 & 0.497167 & 5.4462 & 0 \tabularnewline
14 & 0.451611 & 4.9471 & 1e-06 \tabularnewline
15 & 0.405507 & 4.4421 & 1e-05 \tabularnewline
16 & 0.352764 & 3.8643 & 9.1e-05 \tabularnewline
17 & 0.338791 & 3.7113 & 0.000157 \tabularnewline
18 & 0.332521 & 3.6426 & 2e-04 \tabularnewline
19 & 0.317007 & 3.4726 & 0.000359 \tabularnewline
20 & 0.309993 & 3.3958 & 0.000464 \tabularnewline
21 & 0.30254 & 3.3142 & 0.000608 \tabularnewline
22 & 0.292026 & 3.199 & 0.000882 \tabularnewline
23 & 0.295662 & 3.2388 & 0.000776 \tabularnewline
24 & 0.305972 & 3.3518 & 0.000537 \tabularnewline
25 & 0.266036 & 2.9143 & 0.002127 \tabularnewline
26 & 0.236206 & 2.5875 & 0.00543 \tabularnewline
27 & 0.200058 & 2.1915 & 0.015172 \tabularnewline
28 & 0.159435 & 1.7465 & 0.04164 \tabularnewline
29 & 0.154024 & 1.6873 & 0.047076 \tabularnewline
30 & 0.147159 & 1.6121 & 0.054789 \tabularnewline
31 & 0.13563 & 1.4858 & 0.069984 \tabularnewline
32 & 0.133268 & 1.4599 & 0.073468 \tabularnewline
33 & 0.124961 & 1.3689 & 0.086798 \tabularnewline
34 & 0.116595 & 1.2772 & 0.101992 \tabularnewline
35 & 0.119256 & 1.3064 & 0.096959 \tabularnewline
36 & 0.127215 & 1.3936 & 0.083011 \tabularnewline
37 & 0.100436 & 1.1002 & 0.136719 \tabularnewline
38 & 0.08338 & 0.9134 & 0.181438 \tabularnewline
39 & 0.058671 & 0.6427 & 0.260818 \tabularnewline
40 & 0.022994 & 0.2519 & 0.400781 \tabularnewline
41 & 0.023663 & 0.2592 & 0.397957 \tabularnewline
42 & 0.01441 & 0.1579 & 0.437419 \tabularnewline
43 & 0.005256 & 0.0576 & 0.477093 \tabularnewline
44 & 0.01207 & 0.1322 & 0.447517 \tabularnewline
45 & 0.008983 & 0.0984 & 0.460888 \tabularnewline
46 & 0.008932 & 0.0978 & 0.461109 \tabularnewline
47 & 0.01723 & 0.1887 & 0.425308 \tabularnewline
48 & 0.022458 & 0.246 & 0.403046 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79299&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]0.918196[/C][C]10.0583[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.848018[/C][C]9.2896[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.784935[/C][C]8.5985[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.716782[/C][C]7.852[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.687227[/C][C]7.5282[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.666741[/C][C]7.3038[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.635293[/C][C]6.9593[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.612024[/C][C]6.7044[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.591653[/C][C]6.4812[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.569571[/C][C]6.2393[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.557964[/C][C]6.1122[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.558172[/C][C]6.1145[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.497167[/C][C]5.4462[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.451611[/C][C]4.9471[/C][C]1e-06[/C][/ROW]
[ROW][C]15[/C][C]0.405507[/C][C]4.4421[/C][C]1e-05[/C][/ROW]
[ROW][C]16[/C][C]0.352764[/C][C]3.8643[/C][C]9.1e-05[/C][/ROW]
[ROW][C]17[/C][C]0.338791[/C][C]3.7113[/C][C]0.000157[/C][/ROW]
[ROW][C]18[/C][C]0.332521[/C][C]3.6426[/C][C]2e-04[/C][/ROW]
[ROW][C]19[/C][C]0.317007[/C][C]3.4726[/C][C]0.000359[/C][/ROW]
[ROW][C]20[/C][C]0.309993[/C][C]3.3958[/C][C]0.000464[/C][/ROW]
[ROW][C]21[/C][C]0.30254[/C][C]3.3142[/C][C]0.000608[/C][/ROW]
[ROW][C]22[/C][C]0.292026[/C][C]3.199[/C][C]0.000882[/C][/ROW]
[ROW][C]23[/C][C]0.295662[/C][C]3.2388[/C][C]0.000776[/C][/ROW]
[ROW][C]24[/C][C]0.305972[/C][C]3.3518[/C][C]0.000537[/C][/ROW]
[ROW][C]25[/C][C]0.266036[/C][C]2.9143[/C][C]0.002127[/C][/ROW]
[ROW][C]26[/C][C]0.236206[/C][C]2.5875[/C][C]0.00543[/C][/ROW]
[ROW][C]27[/C][C]0.200058[/C][C]2.1915[/C][C]0.015172[/C][/ROW]
[ROW][C]28[/C][C]0.159435[/C][C]1.7465[/C][C]0.04164[/C][/ROW]
[ROW][C]29[/C][C]0.154024[/C][C]1.6873[/C][C]0.047076[/C][/ROW]
[ROW][C]30[/C][C]0.147159[/C][C]1.6121[/C][C]0.054789[/C][/ROW]
[ROW][C]31[/C][C]0.13563[/C][C]1.4858[/C][C]0.069984[/C][/ROW]
[ROW][C]32[/C][C]0.133268[/C][C]1.4599[/C][C]0.073468[/C][/ROW]
[ROW][C]33[/C][C]0.124961[/C][C]1.3689[/C][C]0.086798[/C][/ROW]
[ROW][C]34[/C][C]0.116595[/C][C]1.2772[/C][C]0.101992[/C][/ROW]
[ROW][C]35[/C][C]0.119256[/C][C]1.3064[/C][C]0.096959[/C][/ROW]
[ROW][C]36[/C][C]0.127215[/C][C]1.3936[/C][C]0.083011[/C][/ROW]
[ROW][C]37[/C][C]0.100436[/C][C]1.1002[/C][C]0.136719[/C][/ROW]
[ROW][C]38[/C][C]0.08338[/C][C]0.9134[/C][C]0.181438[/C][/ROW]
[ROW][C]39[/C][C]0.058671[/C][C]0.6427[/C][C]0.260818[/C][/ROW]
[ROW][C]40[/C][C]0.022994[/C][C]0.2519[/C][C]0.400781[/C][/ROW]
[ROW][C]41[/C][C]0.023663[/C][C]0.2592[/C][C]0.397957[/C][/ROW]
[ROW][C]42[/C][C]0.01441[/C][C]0.1579[/C][C]0.437419[/C][/ROW]
[ROW][C]43[/C][C]0.005256[/C][C]0.0576[/C][C]0.477093[/C][/ROW]
[ROW][C]44[/C][C]0.01207[/C][C]0.1322[/C][C]0.447517[/C][/ROW]
[ROW][C]45[/C][C]0.008983[/C][C]0.0984[/C][C]0.460888[/C][/ROW]
[ROW][C]46[/C][C]0.008932[/C][C]0.0978[/C][C]0.461109[/C][/ROW]
[ROW][C]47[/C][C]0.01723[/C][C]0.1887[/C][C]0.425308[/C][/ROW]
[ROW][C]48[/C][C]0.022458[/C][C]0.246[/C][C]0.403046[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79299&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79299&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
10.91819610.05830
20.8480189.28960
30.7849358.59850
40.7167827.8520
50.6872277.52820
60.6667417.30380
70.6352936.95930
80.6120246.70440
90.5916536.48120
100.5695716.23930
110.5579646.11220
120.5581726.11450
130.4971675.44620
140.4516114.94711e-06
150.4055074.44211e-05
160.3527643.86439.1e-05
170.3387913.71130.000157
180.3325213.64262e-04
190.3170073.47260.000359
200.3099933.39580.000464
210.302543.31420.000608
220.2920263.1990.000882
230.2956623.23880.000776
240.3059723.35180.000537
250.2660362.91430.002127
260.2362062.58750.00543
270.2000582.19150.015172
280.1594351.74650.04164
290.1540241.68730.047076
300.1471591.61210.054789
310.135631.48580.069984
320.1332681.45990.073468
330.1249611.36890.086798
340.1165951.27720.101992
350.1192561.30640.096959
360.1272151.39360.083011
370.1004361.10020.136719
380.083380.91340.181438
390.0586710.64270.260818
400.0229940.25190.400781
410.0236630.25920.397957
420.014410.15790.437419
430.0052560.05760.477093
440.012070.13220.447517
450.0089830.09840.460888
460.0089320.09780.461109
470.017230.18870.425308
480.0224580.2460.403046







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.91819610.05830
20.0314420.34440.365562
30.0121230.13280.447288
4-0.061465-0.67330.251021
50.2057052.25340.013026
60.069140.75740.225152
7-0.055819-0.61150.271025
80.0214460.23490.407332
90.0604230.66190.254652
100.0223840.24520.403356
110.0396080.43390.332577
120.0938721.02830.152935
13-0.369996-4.05314.5e-05
140.0460310.50420.307508
15-0.02122-0.23250.408292
16-0.00939-0.10290.459122
170.0695360.76170.223858
180.0436320.4780.316773
19-0.018186-0.19920.421215
200.0026790.02930.488319
210.0803950.88070.190125
220.0127990.14020.444366
230.0559630.6130.270505
240.0240680.26370.396251
25-0.193575-2.12050.018011
26-0.016568-0.18150.428143
27-0.015781-0.17290.431521
280.0170550.18680.426056
290.0041520.04550.481898
30-0.04025-0.44090.330033
31-0.008852-0.0970.461456
320.00810.08870.464721
330.0455960.49950.309179
340.0178510.19550.422649
350.0033330.03650.485469
360.0170970.18730.425874
37-0.07103-0.77810.219024
380.0109370.11980.45242
39-0.000137-0.00150.499402
40-0.047995-0.52580.300013
410.0337760.370.356019
42-0.079829-0.87450.1918
430.0067910.07440.470412
440.0428830.46980.319689
450.0359020.39330.347404
460.0048450.05310.478881
47-0.013446-0.14730.441575
48-0.010701-0.11720.45344

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.918196 & 10.0583 & 0 \tabularnewline
2 & 0.031442 & 0.3444 & 0.365562 \tabularnewline
3 & 0.012123 & 0.1328 & 0.447288 \tabularnewline
4 & -0.061465 & -0.6733 & 0.251021 \tabularnewline
5 & 0.205705 & 2.2534 & 0.013026 \tabularnewline
6 & 0.06914 & 0.7574 & 0.225152 \tabularnewline
7 & -0.055819 & -0.6115 & 0.271025 \tabularnewline
8 & 0.021446 & 0.2349 & 0.407332 \tabularnewline
9 & 0.060423 & 0.6619 & 0.254652 \tabularnewline
10 & 0.022384 & 0.2452 & 0.403356 \tabularnewline
11 & 0.039608 & 0.4339 & 0.332577 \tabularnewline
12 & 0.093872 & 1.0283 & 0.152935 \tabularnewline
13 & -0.369996 & -4.0531 & 4.5e-05 \tabularnewline
14 & 0.046031 & 0.5042 & 0.307508 \tabularnewline
15 & -0.02122 & -0.2325 & 0.408292 \tabularnewline
16 & -0.00939 & -0.1029 & 0.459122 \tabularnewline
17 & 0.069536 & 0.7617 & 0.223858 \tabularnewline
18 & 0.043632 & 0.478 & 0.316773 \tabularnewline
19 & -0.018186 & -0.1992 & 0.421215 \tabularnewline
20 & 0.002679 & 0.0293 & 0.488319 \tabularnewline
21 & 0.080395 & 0.8807 & 0.190125 \tabularnewline
22 & 0.012799 & 0.1402 & 0.444366 \tabularnewline
23 & 0.055963 & 0.613 & 0.270505 \tabularnewline
24 & 0.024068 & 0.2637 & 0.396251 \tabularnewline
25 & -0.193575 & -2.1205 & 0.018011 \tabularnewline
26 & -0.016568 & -0.1815 & 0.428143 \tabularnewline
27 & -0.015781 & -0.1729 & 0.431521 \tabularnewline
28 & 0.017055 & 0.1868 & 0.426056 \tabularnewline
29 & 0.004152 & 0.0455 & 0.481898 \tabularnewline
30 & -0.04025 & -0.4409 & 0.330033 \tabularnewline
31 & -0.008852 & -0.097 & 0.461456 \tabularnewline
32 & 0.0081 & 0.0887 & 0.464721 \tabularnewline
33 & 0.045596 & 0.4995 & 0.309179 \tabularnewline
34 & 0.017851 & 0.1955 & 0.422649 \tabularnewline
35 & 0.003333 & 0.0365 & 0.485469 \tabularnewline
36 & 0.017097 & 0.1873 & 0.425874 \tabularnewline
37 & -0.07103 & -0.7781 & 0.219024 \tabularnewline
38 & 0.010937 & 0.1198 & 0.45242 \tabularnewline
39 & -0.000137 & -0.0015 & 0.499402 \tabularnewline
40 & -0.047995 & -0.5258 & 0.300013 \tabularnewline
41 & 0.033776 & 0.37 & 0.356019 \tabularnewline
42 & -0.079829 & -0.8745 & 0.1918 \tabularnewline
43 & 0.006791 & 0.0744 & 0.470412 \tabularnewline
44 & 0.042883 & 0.4698 & 0.319689 \tabularnewline
45 & 0.035902 & 0.3933 & 0.347404 \tabularnewline
46 & 0.004845 & 0.0531 & 0.478881 \tabularnewline
47 & -0.013446 & -0.1473 & 0.441575 \tabularnewline
48 & -0.010701 & -0.1172 & 0.45344 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79299&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]0.918196[/C][C]10.0583[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.031442[/C][C]0.3444[/C][C]0.365562[/C][/ROW]
[ROW][C]3[/C][C]0.012123[/C][C]0.1328[/C][C]0.447288[/C][/ROW]
[ROW][C]4[/C][C]-0.061465[/C][C]-0.6733[/C][C]0.251021[/C][/ROW]
[ROW][C]5[/C][C]0.205705[/C][C]2.2534[/C][C]0.013026[/C][/ROW]
[ROW][C]6[/C][C]0.06914[/C][C]0.7574[/C][C]0.225152[/C][/ROW]
[ROW][C]7[/C][C]-0.055819[/C][C]-0.6115[/C][C]0.271025[/C][/ROW]
[ROW][C]8[/C][C]0.021446[/C][C]0.2349[/C][C]0.407332[/C][/ROW]
[ROW][C]9[/C][C]0.060423[/C][C]0.6619[/C][C]0.254652[/C][/ROW]
[ROW][C]10[/C][C]0.022384[/C][C]0.2452[/C][C]0.403356[/C][/ROW]
[ROW][C]11[/C][C]0.039608[/C][C]0.4339[/C][C]0.332577[/C][/ROW]
[ROW][C]12[/C][C]0.093872[/C][C]1.0283[/C][C]0.152935[/C][/ROW]
[ROW][C]13[/C][C]-0.369996[/C][C]-4.0531[/C][C]4.5e-05[/C][/ROW]
[ROW][C]14[/C][C]0.046031[/C][C]0.5042[/C][C]0.307508[/C][/ROW]
[ROW][C]15[/C][C]-0.02122[/C][C]-0.2325[/C][C]0.408292[/C][/ROW]
[ROW][C]16[/C][C]-0.00939[/C][C]-0.1029[/C][C]0.459122[/C][/ROW]
[ROW][C]17[/C][C]0.069536[/C][C]0.7617[/C][C]0.223858[/C][/ROW]
[ROW][C]18[/C][C]0.043632[/C][C]0.478[/C][C]0.316773[/C][/ROW]
[ROW][C]19[/C][C]-0.018186[/C][C]-0.1992[/C][C]0.421215[/C][/ROW]
[ROW][C]20[/C][C]0.002679[/C][C]0.0293[/C][C]0.488319[/C][/ROW]
[ROW][C]21[/C][C]0.080395[/C][C]0.8807[/C][C]0.190125[/C][/ROW]
[ROW][C]22[/C][C]0.012799[/C][C]0.1402[/C][C]0.444366[/C][/ROW]
[ROW][C]23[/C][C]0.055963[/C][C]0.613[/C][C]0.270505[/C][/ROW]
[ROW][C]24[/C][C]0.024068[/C][C]0.2637[/C][C]0.396251[/C][/ROW]
[ROW][C]25[/C][C]-0.193575[/C][C]-2.1205[/C][C]0.018011[/C][/ROW]
[ROW][C]26[/C][C]-0.016568[/C][C]-0.1815[/C][C]0.428143[/C][/ROW]
[ROW][C]27[/C][C]-0.015781[/C][C]-0.1729[/C][C]0.431521[/C][/ROW]
[ROW][C]28[/C][C]0.017055[/C][C]0.1868[/C][C]0.426056[/C][/ROW]
[ROW][C]29[/C][C]0.004152[/C][C]0.0455[/C][C]0.481898[/C][/ROW]
[ROW][C]30[/C][C]-0.04025[/C][C]-0.4409[/C][C]0.330033[/C][/ROW]
[ROW][C]31[/C][C]-0.008852[/C][C]-0.097[/C][C]0.461456[/C][/ROW]
[ROW][C]32[/C][C]0.0081[/C][C]0.0887[/C][C]0.464721[/C][/ROW]
[ROW][C]33[/C][C]0.045596[/C][C]0.4995[/C][C]0.309179[/C][/ROW]
[ROW][C]34[/C][C]0.017851[/C][C]0.1955[/C][C]0.422649[/C][/ROW]
[ROW][C]35[/C][C]0.003333[/C][C]0.0365[/C][C]0.485469[/C][/ROW]
[ROW][C]36[/C][C]0.017097[/C][C]0.1873[/C][C]0.425874[/C][/ROW]
[ROW][C]37[/C][C]-0.07103[/C][C]-0.7781[/C][C]0.219024[/C][/ROW]
[ROW][C]38[/C][C]0.010937[/C][C]0.1198[/C][C]0.45242[/C][/ROW]
[ROW][C]39[/C][C]-0.000137[/C][C]-0.0015[/C][C]0.499402[/C][/ROW]
[ROW][C]40[/C][C]-0.047995[/C][C]-0.5258[/C][C]0.300013[/C][/ROW]
[ROW][C]41[/C][C]0.033776[/C][C]0.37[/C][C]0.356019[/C][/ROW]
[ROW][C]42[/C][C]-0.079829[/C][C]-0.8745[/C][C]0.1918[/C][/ROW]
[ROW][C]43[/C][C]0.006791[/C][C]0.0744[/C][C]0.470412[/C][/ROW]
[ROW][C]44[/C][C]0.042883[/C][C]0.4698[/C][C]0.319689[/C][/ROW]
[ROW][C]45[/C][C]0.035902[/C][C]0.3933[/C][C]0.347404[/C][/ROW]
[ROW][C]46[/C][C]0.004845[/C][C]0.0531[/C][C]0.478881[/C][/ROW]
[ROW][C]47[/C][C]-0.013446[/C][C]-0.1473[/C][C]0.441575[/C][/ROW]
[ROW][C]48[/C][C]-0.010701[/C][C]-0.1172[/C][C]0.45344[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79299&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79299&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
10.91819610.05830
20.0314420.34440.365562
30.0121230.13280.447288
4-0.061465-0.67330.251021
50.2057052.25340.013026
60.069140.75740.225152
7-0.055819-0.61150.271025
80.0214460.23490.407332
90.0604230.66190.254652
100.0223840.24520.403356
110.0396080.43390.332577
120.0938721.02830.152935
13-0.369996-4.05314.5e-05
140.0460310.50420.307508
15-0.02122-0.23250.408292
16-0.00939-0.10290.459122
170.0695360.76170.223858
180.0436320.4780.316773
19-0.018186-0.19920.421215
200.0026790.02930.488319
210.0803950.88070.190125
220.0127990.14020.444366
230.0559630.6130.270505
240.0240680.26370.396251
25-0.193575-2.12050.018011
26-0.016568-0.18150.428143
27-0.015781-0.17290.431521
280.0170550.18680.426056
290.0041520.04550.481898
30-0.04025-0.44090.330033
31-0.008852-0.0970.461456
320.00810.08870.464721
330.0455960.49950.309179
340.0178510.19550.422649
350.0033330.03650.485469
360.0170970.18730.425874
37-0.07103-0.77810.219024
380.0109370.11980.45242
39-0.000137-0.00150.499402
40-0.047995-0.52580.300013
410.0337760.370.356019
42-0.079829-0.87450.1918
430.0067910.07440.470412
440.0428830.46980.319689
450.0359020.39330.347404
460.0048450.05310.478881
47-0.013446-0.14730.441575
48-0.010701-0.11720.45344



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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')