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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 09:40:21 +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/t1282210935c8ww5jcf3jq9nxe.htm/, Retrieved Thu, 31 Oct 2024 23:53:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79254, Retrieved Thu, 31 Oct 2024 23:53:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [] [Tijdreeks A - Sta...] [1970-01-01 00:00:00] [af95ebf906227b9d031fe2c98e4f0d3b]
- RMPD    [(Partial) Autocorrelation Function] [] [2010-08-19 09:40:21] [f9e29edf9cfe01f572cce0cb5a360ea2] [Current]
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Dataseries X:
239
238
237
235
255
254
239
229
230
230
231
233
239
236
231
235
253
257
236
226
226
221
217
219
225
226
225
229
242
252
233
232
225
218
209
211
220
225
215
222
238
246
226
230
222
214
208
203
208
212
199
200
223
225
203
207
195
198
193
189
184
188
180
186
215
212
191
190
180
190
189
181
174
179
165
185
211
209
183
178
170
182
195
188
175
176
162
193
211
207
179
176
167
175
190
173
159
159
147
181
196
199
171
170
156
164
178
155
138
142
113
148
156
158
141
139
119
120
125
102




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79254&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79254&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79254&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0043760.04770.481005
2-0.240057-2.61870.004987
3-0.231426-2.52460.00645
4-0.134558-1.46780.072392
50.0004740.00520.497939
60.3270983.56820.00026
7-0.02967-0.32370.373382
8-0.135793-1.48130.070582
9-0.201318-2.19610.015011
10-0.280568-3.06060.001365
110.0740340.80760.210462
120.8139058.87870
130.0003070.00330.498669
14-0.199889-2.18050.015593
15-0.177401-1.93520.027668
16-0.099122-1.08130.140876
170.0197070.2150.415075
180.2508552.73650.003581
19-0.089815-0.97980.164594
20-0.094447-1.03030.152481
21-0.159261-1.73730.042458
22-0.252971-2.75960.003352
230.102941.12290.13186
240.6135366.69290
25-0.027791-0.30320.381145
26-0.162328-1.77080.039578
27-0.105074-1.14620.127002
28-0.048524-0.52930.29878
290.0203750.22230.412244
300.1849922.0180.022919
31-0.157484-1.71790.044204
32-0.04163-0.45410.325281
33-0.111007-1.21090.114159
34-0.200879-2.19130.015188
350.1232241.34420.090719
360.4374624.77213e-06
37-0.047986-0.52350.300811
38-0.138418-1.510.066852
39-0.032443-0.35390.362017
40-0.021887-0.23880.405852
410.0326250.35590.361272
420.1183461.2910.099603
43-0.202301-2.20680.014622
44-0.006591-0.07190.471402
45-0.077869-0.84940.198669
46-0.125687-1.37110.086464
470.1264531.37940.085174
480.3137793.42290.000425

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.004376 & 0.0477 & 0.481005 \tabularnewline
2 & -0.240057 & -2.6187 & 0.004987 \tabularnewline
3 & -0.231426 & -2.5246 & 0.00645 \tabularnewline
4 & -0.134558 & -1.4678 & 0.072392 \tabularnewline
5 & 0.000474 & 0.0052 & 0.497939 \tabularnewline
6 & 0.327098 & 3.5682 & 0.00026 \tabularnewline
7 & -0.02967 & -0.3237 & 0.373382 \tabularnewline
8 & -0.135793 & -1.4813 & 0.070582 \tabularnewline
9 & -0.201318 & -2.1961 & 0.015011 \tabularnewline
10 & -0.280568 & -3.0606 & 0.001365 \tabularnewline
11 & 0.074034 & 0.8076 & 0.210462 \tabularnewline
12 & 0.813905 & 8.8787 & 0 \tabularnewline
13 & 0.000307 & 0.0033 & 0.498669 \tabularnewline
14 & -0.199889 & -2.1805 & 0.015593 \tabularnewline
15 & -0.177401 & -1.9352 & 0.027668 \tabularnewline
16 & -0.099122 & -1.0813 & 0.140876 \tabularnewline
17 & 0.019707 & 0.215 & 0.415075 \tabularnewline
18 & 0.250855 & 2.7365 & 0.003581 \tabularnewline
19 & -0.089815 & -0.9798 & 0.164594 \tabularnewline
20 & -0.094447 & -1.0303 & 0.152481 \tabularnewline
21 & -0.159261 & -1.7373 & 0.042458 \tabularnewline
22 & -0.252971 & -2.7596 & 0.003352 \tabularnewline
23 & 0.10294 & 1.1229 & 0.13186 \tabularnewline
24 & 0.613536 & 6.6929 & 0 \tabularnewline
25 & -0.027791 & -0.3032 & 0.381145 \tabularnewline
26 & -0.162328 & -1.7708 & 0.039578 \tabularnewline
27 & -0.105074 & -1.1462 & 0.127002 \tabularnewline
28 & -0.048524 & -0.5293 & 0.29878 \tabularnewline
29 & 0.020375 & 0.2223 & 0.412244 \tabularnewline
30 & 0.184992 & 2.018 & 0.022919 \tabularnewline
31 & -0.157484 & -1.7179 & 0.044204 \tabularnewline
32 & -0.04163 & -0.4541 & 0.325281 \tabularnewline
33 & -0.111007 & -1.2109 & 0.114159 \tabularnewline
34 & -0.200879 & -2.1913 & 0.015188 \tabularnewline
35 & 0.123224 & 1.3442 & 0.090719 \tabularnewline
36 & 0.437462 & 4.7721 & 3e-06 \tabularnewline
37 & -0.047986 & -0.5235 & 0.300811 \tabularnewline
38 & -0.138418 & -1.51 & 0.066852 \tabularnewline
39 & -0.032443 & -0.3539 & 0.362017 \tabularnewline
40 & -0.021887 & -0.2388 & 0.405852 \tabularnewline
41 & 0.032625 & 0.3559 & 0.361272 \tabularnewline
42 & 0.118346 & 1.291 & 0.099603 \tabularnewline
43 & -0.202301 & -2.2068 & 0.014622 \tabularnewline
44 & -0.006591 & -0.0719 & 0.471402 \tabularnewline
45 & -0.077869 & -0.8494 & 0.198669 \tabularnewline
46 & -0.125687 & -1.3711 & 0.086464 \tabularnewline
47 & 0.126453 & 1.3794 & 0.085174 \tabularnewline
48 & 0.313779 & 3.4229 & 0.000425 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79254&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]0.004376[/C][C]0.0477[/C][C]0.481005[/C][/ROW]
[ROW][C]2[/C][C]-0.240057[/C][C]-2.6187[/C][C]0.004987[/C][/ROW]
[ROW][C]3[/C][C]-0.231426[/C][C]-2.5246[/C][C]0.00645[/C][/ROW]
[ROW][C]4[/C][C]-0.134558[/C][C]-1.4678[/C][C]0.072392[/C][/ROW]
[ROW][C]5[/C][C]0.000474[/C][C]0.0052[/C][C]0.497939[/C][/ROW]
[ROW][C]6[/C][C]0.327098[/C][C]3.5682[/C][C]0.00026[/C][/ROW]
[ROW][C]7[/C][C]-0.02967[/C][C]-0.3237[/C][C]0.373382[/C][/ROW]
[ROW][C]8[/C][C]-0.135793[/C][C]-1.4813[/C][C]0.070582[/C][/ROW]
[ROW][C]9[/C][C]-0.201318[/C][C]-2.1961[/C][C]0.015011[/C][/ROW]
[ROW][C]10[/C][C]-0.280568[/C][C]-3.0606[/C][C]0.001365[/C][/ROW]
[ROW][C]11[/C][C]0.074034[/C][C]0.8076[/C][C]0.210462[/C][/ROW]
[ROW][C]12[/C][C]0.813905[/C][C]8.8787[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.000307[/C][C]0.0033[/C][C]0.498669[/C][/ROW]
[ROW][C]14[/C][C]-0.199889[/C][C]-2.1805[/C][C]0.015593[/C][/ROW]
[ROW][C]15[/C][C]-0.177401[/C][C]-1.9352[/C][C]0.027668[/C][/ROW]
[ROW][C]16[/C][C]-0.099122[/C][C]-1.0813[/C][C]0.140876[/C][/ROW]
[ROW][C]17[/C][C]0.019707[/C][C]0.215[/C][C]0.415075[/C][/ROW]
[ROW][C]18[/C][C]0.250855[/C][C]2.7365[/C][C]0.003581[/C][/ROW]
[ROW][C]19[/C][C]-0.089815[/C][C]-0.9798[/C][C]0.164594[/C][/ROW]
[ROW][C]20[/C][C]-0.094447[/C][C]-1.0303[/C][C]0.152481[/C][/ROW]
[ROW][C]21[/C][C]-0.159261[/C][C]-1.7373[/C][C]0.042458[/C][/ROW]
[ROW][C]22[/C][C]-0.252971[/C][C]-2.7596[/C][C]0.003352[/C][/ROW]
[ROW][C]23[/C][C]0.10294[/C][C]1.1229[/C][C]0.13186[/C][/ROW]
[ROW][C]24[/C][C]0.613536[/C][C]6.6929[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.027791[/C][C]-0.3032[/C][C]0.381145[/C][/ROW]
[ROW][C]26[/C][C]-0.162328[/C][C]-1.7708[/C][C]0.039578[/C][/ROW]
[ROW][C]27[/C][C]-0.105074[/C][C]-1.1462[/C][C]0.127002[/C][/ROW]
[ROW][C]28[/C][C]-0.048524[/C][C]-0.5293[/C][C]0.29878[/C][/ROW]
[ROW][C]29[/C][C]0.020375[/C][C]0.2223[/C][C]0.412244[/C][/ROW]
[ROW][C]30[/C][C]0.184992[/C][C]2.018[/C][C]0.022919[/C][/ROW]
[ROW][C]31[/C][C]-0.157484[/C][C]-1.7179[/C][C]0.044204[/C][/ROW]
[ROW][C]32[/C][C]-0.04163[/C][C]-0.4541[/C][C]0.325281[/C][/ROW]
[ROW][C]33[/C][C]-0.111007[/C][C]-1.2109[/C][C]0.114159[/C][/ROW]
[ROW][C]34[/C][C]-0.200879[/C][C]-2.1913[/C][C]0.015188[/C][/ROW]
[ROW][C]35[/C][C]0.123224[/C][C]1.3442[/C][C]0.090719[/C][/ROW]
[ROW][C]36[/C][C]0.437462[/C][C]4.7721[/C][C]3e-06[/C][/ROW]
[ROW][C]37[/C][C]-0.047986[/C][C]-0.5235[/C][C]0.300811[/C][/ROW]
[ROW][C]38[/C][C]-0.138418[/C][C]-1.51[/C][C]0.066852[/C][/ROW]
[ROW][C]39[/C][C]-0.032443[/C][C]-0.3539[/C][C]0.362017[/C][/ROW]
[ROW][C]40[/C][C]-0.021887[/C][C]-0.2388[/C][C]0.405852[/C][/ROW]
[ROW][C]41[/C][C]0.032625[/C][C]0.3559[/C][C]0.361272[/C][/ROW]
[ROW][C]42[/C][C]0.118346[/C][C]1.291[/C][C]0.099603[/C][/ROW]
[ROW][C]43[/C][C]-0.202301[/C][C]-2.2068[/C][C]0.014622[/C][/ROW]
[ROW][C]44[/C][C]-0.006591[/C][C]-0.0719[/C][C]0.471402[/C][/ROW]
[ROW][C]45[/C][C]-0.077869[/C][C]-0.8494[/C][C]0.198669[/C][/ROW]
[ROW][C]46[/C][C]-0.125687[/C][C]-1.3711[/C][C]0.086464[/C][/ROW]
[ROW][C]47[/C][C]0.126453[/C][C]1.3794[/C][C]0.085174[/C][/ROW]
[ROW][C]48[/C][C]0.313779[/C][C]3.4229[/C][C]0.000425[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79254&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79254&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
10.0043760.04770.481005
2-0.240057-2.61870.004987
3-0.231426-2.52460.00645
4-0.134558-1.46780.072392
50.0004740.00520.497939
60.3270983.56820.00026
7-0.02967-0.32370.373382
8-0.135793-1.48130.070582
9-0.201318-2.19610.015011
10-0.280568-3.06060.001365
110.0740340.80760.210462
120.8139058.87870
130.0003070.00330.498669
14-0.199889-2.18050.015593
15-0.177401-1.93520.027668
16-0.099122-1.08130.140876
170.0197070.2150.415075
180.2508552.73650.003581
19-0.089815-0.97980.164594
20-0.094447-1.03030.152481
21-0.159261-1.73730.042458
22-0.252971-2.75960.003352
230.102941.12290.13186
240.6135366.69290
25-0.027791-0.30320.381145
26-0.162328-1.77080.039578
27-0.105074-1.14620.127002
28-0.048524-0.52930.29878
290.0203750.22230.412244
300.1849922.0180.022919
31-0.157484-1.71790.044204
32-0.04163-0.45410.325281
33-0.111007-1.21090.114159
34-0.200879-2.19130.015188
350.1232241.34420.090719
360.4374624.77213e-06
37-0.047986-0.52350.300811
38-0.138418-1.510.066852
39-0.032443-0.35390.362017
40-0.021887-0.23880.405852
410.0326250.35590.361272
420.1183461.2910.099603
43-0.202301-2.20680.014622
44-0.006591-0.07190.471402
45-0.077869-0.84940.198669
46-0.125687-1.37110.086464
470.1264531.37940.085174
480.3137793.42290.000425







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0043760.04770.481005
2-0.240081-2.6190.004983
3-0.243089-2.65180.004549
4-0.229018-2.49830.006922
5-0.169389-1.84780.033556
60.1870572.04060.021754
7-0.130265-1.4210.078963
8-0.085548-0.93320.176297
9-0.203357-2.21840.014214
10-0.440157-4.80152e-06
11-0.258698-2.82210.002797
120.679967.41750
130.0555160.60560.272966
140.0199750.21790.413941
150.1876862.04740.02141
160.1863912.03330.022124
170.0346460.37790.353075
18-0.1428-1.55780.060972
19-0.149011-1.62550.053349
200.016190.17660.430056
21-0.003821-0.04170.483411
220.029080.31720.375815
23-4.3e-05-5e-040.499813
24-0.096657-1.05440.146918
25-0.05035-0.54930.29193
26-0.051884-0.5660.286234
27-0.031126-0.33950.3674
28-0.018998-0.20720.418086
29-0.10291-1.12260.131931
300.045540.49680.31013
31-0.067476-0.73610.231567
320.0025120.02740.489094
330.0275430.30050.382176
34-0.002783-0.03040.487915
350.0718520.78380.217354
36-0.031594-0.34460.365485
370.0423240.46170.322569
38-0.008392-0.09150.463605
39-0.007135-0.07780.469047
40-0.02952-0.3220.374
41-0.04508-0.49180.311895
420.0036140.03940.48431
43-0.061504-0.67090.251782
44-0.050852-0.55470.290061
45-0.043421-0.47370.318301
460.0399360.43560.331941
470.0136740.14920.440836
48-0.004886-0.05330.47879

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.004376 & 0.0477 & 0.481005 \tabularnewline
2 & -0.240081 & -2.619 & 0.004983 \tabularnewline
3 & -0.243089 & -2.6518 & 0.004549 \tabularnewline
4 & -0.229018 & -2.4983 & 0.006922 \tabularnewline
5 & -0.169389 & -1.8478 & 0.033556 \tabularnewline
6 & 0.187057 & 2.0406 & 0.021754 \tabularnewline
7 & -0.130265 & -1.421 & 0.078963 \tabularnewline
8 & -0.085548 & -0.9332 & 0.176297 \tabularnewline
9 & -0.203357 & -2.2184 & 0.014214 \tabularnewline
10 & -0.440157 & -4.8015 & 2e-06 \tabularnewline
11 & -0.258698 & -2.8221 & 0.002797 \tabularnewline
12 & 0.67996 & 7.4175 & 0 \tabularnewline
13 & 0.055516 & 0.6056 & 0.272966 \tabularnewline
14 & 0.019975 & 0.2179 & 0.413941 \tabularnewline
15 & 0.187686 & 2.0474 & 0.02141 \tabularnewline
16 & 0.186391 & 2.0333 & 0.022124 \tabularnewline
17 & 0.034646 & 0.3779 & 0.353075 \tabularnewline
18 & -0.1428 & -1.5578 & 0.060972 \tabularnewline
19 & -0.149011 & -1.6255 & 0.053349 \tabularnewline
20 & 0.01619 & 0.1766 & 0.430056 \tabularnewline
21 & -0.003821 & -0.0417 & 0.483411 \tabularnewline
22 & 0.02908 & 0.3172 & 0.375815 \tabularnewline
23 & -4.3e-05 & -5e-04 & 0.499813 \tabularnewline
24 & -0.096657 & -1.0544 & 0.146918 \tabularnewline
25 & -0.05035 & -0.5493 & 0.29193 \tabularnewline
26 & -0.051884 & -0.566 & 0.286234 \tabularnewline
27 & -0.031126 & -0.3395 & 0.3674 \tabularnewline
28 & -0.018998 & -0.2072 & 0.418086 \tabularnewline
29 & -0.10291 & -1.1226 & 0.131931 \tabularnewline
30 & 0.04554 & 0.4968 & 0.31013 \tabularnewline
31 & -0.067476 & -0.7361 & 0.231567 \tabularnewline
32 & 0.002512 & 0.0274 & 0.489094 \tabularnewline
33 & 0.027543 & 0.3005 & 0.382176 \tabularnewline
34 & -0.002783 & -0.0304 & 0.487915 \tabularnewline
35 & 0.071852 & 0.7838 & 0.217354 \tabularnewline
36 & -0.031594 & -0.3446 & 0.365485 \tabularnewline
37 & 0.042324 & 0.4617 & 0.322569 \tabularnewline
38 & -0.008392 & -0.0915 & 0.463605 \tabularnewline
39 & -0.007135 & -0.0778 & 0.469047 \tabularnewline
40 & -0.02952 & -0.322 & 0.374 \tabularnewline
41 & -0.04508 & -0.4918 & 0.311895 \tabularnewline
42 & 0.003614 & 0.0394 & 0.48431 \tabularnewline
43 & -0.061504 & -0.6709 & 0.251782 \tabularnewline
44 & -0.050852 & -0.5547 & 0.290061 \tabularnewline
45 & -0.043421 & -0.4737 & 0.318301 \tabularnewline
46 & 0.039936 & 0.4356 & 0.331941 \tabularnewline
47 & 0.013674 & 0.1492 & 0.440836 \tabularnewline
48 & -0.004886 & -0.0533 & 0.47879 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79254&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]0.004376[/C][C]0.0477[/C][C]0.481005[/C][/ROW]
[ROW][C]2[/C][C]-0.240081[/C][C]-2.619[/C][C]0.004983[/C][/ROW]
[ROW][C]3[/C][C]-0.243089[/C][C]-2.6518[/C][C]0.004549[/C][/ROW]
[ROW][C]4[/C][C]-0.229018[/C][C]-2.4983[/C][C]0.006922[/C][/ROW]
[ROW][C]5[/C][C]-0.169389[/C][C]-1.8478[/C][C]0.033556[/C][/ROW]
[ROW][C]6[/C][C]0.187057[/C][C]2.0406[/C][C]0.021754[/C][/ROW]
[ROW][C]7[/C][C]-0.130265[/C][C]-1.421[/C][C]0.078963[/C][/ROW]
[ROW][C]8[/C][C]-0.085548[/C][C]-0.9332[/C][C]0.176297[/C][/ROW]
[ROW][C]9[/C][C]-0.203357[/C][C]-2.2184[/C][C]0.014214[/C][/ROW]
[ROW][C]10[/C][C]-0.440157[/C][C]-4.8015[/C][C]2e-06[/C][/ROW]
[ROW][C]11[/C][C]-0.258698[/C][C]-2.8221[/C][C]0.002797[/C][/ROW]
[ROW][C]12[/C][C]0.67996[/C][C]7.4175[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.055516[/C][C]0.6056[/C][C]0.272966[/C][/ROW]
[ROW][C]14[/C][C]0.019975[/C][C]0.2179[/C][C]0.413941[/C][/ROW]
[ROW][C]15[/C][C]0.187686[/C][C]2.0474[/C][C]0.02141[/C][/ROW]
[ROW][C]16[/C][C]0.186391[/C][C]2.0333[/C][C]0.022124[/C][/ROW]
[ROW][C]17[/C][C]0.034646[/C][C]0.3779[/C][C]0.353075[/C][/ROW]
[ROW][C]18[/C][C]-0.1428[/C][C]-1.5578[/C][C]0.060972[/C][/ROW]
[ROW][C]19[/C][C]-0.149011[/C][C]-1.6255[/C][C]0.053349[/C][/ROW]
[ROW][C]20[/C][C]0.01619[/C][C]0.1766[/C][C]0.430056[/C][/ROW]
[ROW][C]21[/C][C]-0.003821[/C][C]-0.0417[/C][C]0.483411[/C][/ROW]
[ROW][C]22[/C][C]0.02908[/C][C]0.3172[/C][C]0.375815[/C][/ROW]
[ROW][C]23[/C][C]-4.3e-05[/C][C]-5e-04[/C][C]0.499813[/C][/ROW]
[ROW][C]24[/C][C]-0.096657[/C][C]-1.0544[/C][C]0.146918[/C][/ROW]
[ROW][C]25[/C][C]-0.05035[/C][C]-0.5493[/C][C]0.29193[/C][/ROW]
[ROW][C]26[/C][C]-0.051884[/C][C]-0.566[/C][C]0.286234[/C][/ROW]
[ROW][C]27[/C][C]-0.031126[/C][C]-0.3395[/C][C]0.3674[/C][/ROW]
[ROW][C]28[/C][C]-0.018998[/C][C]-0.2072[/C][C]0.418086[/C][/ROW]
[ROW][C]29[/C][C]-0.10291[/C][C]-1.1226[/C][C]0.131931[/C][/ROW]
[ROW][C]30[/C][C]0.04554[/C][C]0.4968[/C][C]0.31013[/C][/ROW]
[ROW][C]31[/C][C]-0.067476[/C][C]-0.7361[/C][C]0.231567[/C][/ROW]
[ROW][C]32[/C][C]0.002512[/C][C]0.0274[/C][C]0.489094[/C][/ROW]
[ROW][C]33[/C][C]0.027543[/C][C]0.3005[/C][C]0.382176[/C][/ROW]
[ROW][C]34[/C][C]-0.002783[/C][C]-0.0304[/C][C]0.487915[/C][/ROW]
[ROW][C]35[/C][C]0.071852[/C][C]0.7838[/C][C]0.217354[/C][/ROW]
[ROW][C]36[/C][C]-0.031594[/C][C]-0.3446[/C][C]0.365485[/C][/ROW]
[ROW][C]37[/C][C]0.042324[/C][C]0.4617[/C][C]0.322569[/C][/ROW]
[ROW][C]38[/C][C]-0.008392[/C][C]-0.0915[/C][C]0.463605[/C][/ROW]
[ROW][C]39[/C][C]-0.007135[/C][C]-0.0778[/C][C]0.469047[/C][/ROW]
[ROW][C]40[/C][C]-0.02952[/C][C]-0.322[/C][C]0.374[/C][/ROW]
[ROW][C]41[/C][C]-0.04508[/C][C]-0.4918[/C][C]0.311895[/C][/ROW]
[ROW][C]42[/C][C]0.003614[/C][C]0.0394[/C][C]0.48431[/C][/ROW]
[ROW][C]43[/C][C]-0.061504[/C][C]-0.6709[/C][C]0.251782[/C][/ROW]
[ROW][C]44[/C][C]-0.050852[/C][C]-0.5547[/C][C]0.290061[/C][/ROW]
[ROW][C]45[/C][C]-0.043421[/C][C]-0.4737[/C][C]0.318301[/C][/ROW]
[ROW][C]46[/C][C]0.039936[/C][C]0.4356[/C][C]0.331941[/C][/ROW]
[ROW][C]47[/C][C]0.013674[/C][C]0.1492[/C][C]0.440836[/C][/ROW]
[ROW][C]48[/C][C]-0.004886[/C][C]-0.0533[/C][C]0.47879[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79254&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79254&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
10.0043760.04770.481005
2-0.240081-2.6190.004983
3-0.243089-2.65180.004549
4-0.229018-2.49830.006922
5-0.169389-1.84780.033556
60.1870572.04060.021754
7-0.130265-1.4210.078963
8-0.085548-0.93320.176297
9-0.203357-2.21840.014214
10-0.440157-4.80152e-06
11-0.258698-2.82210.002797
120.679967.41750
130.0555160.60560.272966
140.0199750.21790.413941
150.1876862.04740.02141
160.1863912.03330.022124
170.0346460.37790.353075
18-0.1428-1.55780.060972
19-0.149011-1.62550.053349
200.016190.17660.430056
21-0.003821-0.04170.483411
220.029080.31720.375815
23-4.3e-05-5e-040.499813
24-0.096657-1.05440.146918
25-0.05035-0.54930.29193
26-0.051884-0.5660.286234
27-0.031126-0.33950.3674
28-0.018998-0.20720.418086
29-0.10291-1.12260.131931
300.045540.49680.31013
31-0.067476-0.73610.231567
320.0025120.02740.489094
330.0275430.30050.382176
34-0.002783-0.03040.487915
350.0718520.78380.217354
36-0.031594-0.34460.365485
370.0423240.46170.322569
38-0.008392-0.09150.463605
39-0.007135-0.07780.469047
40-0.02952-0.3220.374
41-0.04508-0.49180.311895
420.0036140.03940.48431
43-0.061504-0.67090.251782
44-0.050852-0.55470.290061
45-0.043421-0.47370.318301
460.0399360.43560.331941
470.0136740.14920.440836
48-0.004886-0.05330.47879



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