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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 30 Apr 2010 14:53:49 +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/Apr/30/t1272639339smn91b8tx2nkh84.htm/, Retrieved Thu, 28 Mar 2024 12:20:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75083, Retrieved Thu, 28 Mar 2024 12:20:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact224
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2010-04-30 14:53:49] [64b736d20c8e0a8542a5a7c9128a9b74] [Current]
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Dataseries X:
182900
191400
189300
192200
187900
193900
189100
193100
194800
200200
211500
202100
200300
199200
204900
207300
200000
197700
202200
200200
208300
215100
210700
208100
209000
211000
210200
205500
211400
211700
209300
207500
203300
207100
206900
228700
226900
226500
227100
228100
226500
225200
217800
221300
215300
231300
227100
237800
230200
233400
231100
237200
243700
239700
248400
241000
254500
242800
268300
253900
262100
264100
261000
269300
260400
263200
279200
272200
269200
289600
283200
284300
283000
289100
289600
289100
287400
279600
289300
295000
299600
293600
294400
290200
301000
307900
298800
310300
293900
305000
311300
317300
296200
306800
291800
301900
314600
321500
329400
311700
309700
306500
307100
301300
292200
310100
316800
284400
284600
301200
287600
314300
298200
299400
301900
265500
287100
274000
290100
263100
245200
258600
259800
269800
274600
274800
271100
257800
290300
262200
270000
290600




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75083&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75083&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75083&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.448141-5.12921e-06
20.0881381.00880.157469
3-0.040879-0.46790.320322
4-0.117172-1.34110.091105
50.167081.91230.029009
6-0.119377-1.36630.087087
70.14641.67560.048099
8-0.034364-0.39330.347363
9-0.048285-0.55270.290722
100.0091830.10510.458229
11-0.009057-0.10370.458797
120.0403460.46180.322501
130.0540390.61850.268658
14-0.085944-0.98370.163545
150.0968561.10860.134825
16-0.021139-0.2420.404598
17-0.039604-0.45330.325546
180.0113040.12940.448626
19-0.03512-0.4020.344182
200.0537060.61470.269911
21-0.01406-0.16090.4362
220.0248260.28410.388373
23-0.027401-0.31360.377153
24-0.087266-0.99880.159865
250.0111730.12790.449222
260.0395790.4530.325648
270.1074351.22960.110516
28-0.060443-0.69180.245143
29-0.02277-0.26060.3974
30-0.066188-0.75760.22504
310.0470970.5390.295385
32-0.039416-0.45110.32632
330.080870.92560.178178
34-0.097021-1.11050.134417
350.0970481.11080.134353
36-0.119894-1.37230.086165
370.0748210.85640.196679
38-0.003216-0.03680.485345
39-0.016286-0.18640.426209
400.0499960.57220.284073
41-0.107464-1.230.110455
420.0234670.26860.394332
43-0.018329-0.20980.417081
440.0640550.73310.232392
45-0.002759-0.03160.487428
46-0.014039-0.16070.436296
47-0.080432-0.92060.179481
480.0890151.01880.155082

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.448141 & -5.1292 & 1e-06 \tabularnewline
2 & 0.088138 & 1.0088 & 0.157469 \tabularnewline
3 & -0.040879 & -0.4679 & 0.320322 \tabularnewline
4 & -0.117172 & -1.3411 & 0.091105 \tabularnewline
5 & 0.16708 & 1.9123 & 0.029009 \tabularnewline
6 & -0.119377 & -1.3663 & 0.087087 \tabularnewline
7 & 0.1464 & 1.6756 & 0.048099 \tabularnewline
8 & -0.034364 & -0.3933 & 0.347363 \tabularnewline
9 & -0.048285 & -0.5527 & 0.290722 \tabularnewline
10 & 0.009183 & 0.1051 & 0.458229 \tabularnewline
11 & -0.009057 & -0.1037 & 0.458797 \tabularnewline
12 & 0.040346 & 0.4618 & 0.322501 \tabularnewline
13 & 0.054039 & 0.6185 & 0.268658 \tabularnewline
14 & -0.085944 & -0.9837 & 0.163545 \tabularnewline
15 & 0.096856 & 1.1086 & 0.134825 \tabularnewline
16 & -0.021139 & -0.242 & 0.404598 \tabularnewline
17 & -0.039604 & -0.4533 & 0.325546 \tabularnewline
18 & 0.011304 & 0.1294 & 0.448626 \tabularnewline
19 & -0.03512 & -0.402 & 0.344182 \tabularnewline
20 & 0.053706 & 0.6147 & 0.269911 \tabularnewline
21 & -0.01406 & -0.1609 & 0.4362 \tabularnewline
22 & 0.024826 & 0.2841 & 0.388373 \tabularnewline
23 & -0.027401 & -0.3136 & 0.377153 \tabularnewline
24 & -0.087266 & -0.9988 & 0.159865 \tabularnewline
25 & 0.011173 & 0.1279 & 0.449222 \tabularnewline
26 & 0.039579 & 0.453 & 0.325648 \tabularnewline
27 & 0.107435 & 1.2296 & 0.110516 \tabularnewline
28 & -0.060443 & -0.6918 & 0.245143 \tabularnewline
29 & -0.02277 & -0.2606 & 0.3974 \tabularnewline
30 & -0.066188 & -0.7576 & 0.22504 \tabularnewline
31 & 0.047097 & 0.539 & 0.295385 \tabularnewline
32 & -0.039416 & -0.4511 & 0.32632 \tabularnewline
33 & 0.08087 & 0.9256 & 0.178178 \tabularnewline
34 & -0.097021 & -1.1105 & 0.134417 \tabularnewline
35 & 0.097048 & 1.1108 & 0.134353 \tabularnewline
36 & -0.119894 & -1.3723 & 0.086165 \tabularnewline
37 & 0.074821 & 0.8564 & 0.196679 \tabularnewline
38 & -0.003216 & -0.0368 & 0.485345 \tabularnewline
39 & -0.016286 & -0.1864 & 0.426209 \tabularnewline
40 & 0.049996 & 0.5722 & 0.284073 \tabularnewline
41 & -0.107464 & -1.23 & 0.110455 \tabularnewline
42 & 0.023467 & 0.2686 & 0.394332 \tabularnewline
43 & -0.018329 & -0.2098 & 0.417081 \tabularnewline
44 & 0.064055 & 0.7331 & 0.232392 \tabularnewline
45 & -0.002759 & -0.0316 & 0.487428 \tabularnewline
46 & -0.014039 & -0.1607 & 0.436296 \tabularnewline
47 & -0.080432 & -0.9206 & 0.179481 \tabularnewline
48 & 0.089015 & 1.0188 & 0.155082 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75083&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]-0.448141[/C][C]-5.1292[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.088138[/C][C]1.0088[/C][C]0.157469[/C][/ROW]
[ROW][C]3[/C][C]-0.040879[/C][C]-0.4679[/C][C]0.320322[/C][/ROW]
[ROW][C]4[/C][C]-0.117172[/C][C]-1.3411[/C][C]0.091105[/C][/ROW]
[ROW][C]5[/C][C]0.16708[/C][C]1.9123[/C][C]0.029009[/C][/ROW]
[ROW][C]6[/C][C]-0.119377[/C][C]-1.3663[/C][C]0.087087[/C][/ROW]
[ROW][C]7[/C][C]0.1464[/C][C]1.6756[/C][C]0.048099[/C][/ROW]
[ROW][C]8[/C][C]-0.034364[/C][C]-0.3933[/C][C]0.347363[/C][/ROW]
[ROW][C]9[/C][C]-0.048285[/C][C]-0.5527[/C][C]0.290722[/C][/ROW]
[ROW][C]10[/C][C]0.009183[/C][C]0.1051[/C][C]0.458229[/C][/ROW]
[ROW][C]11[/C][C]-0.009057[/C][C]-0.1037[/C][C]0.458797[/C][/ROW]
[ROW][C]12[/C][C]0.040346[/C][C]0.4618[/C][C]0.322501[/C][/ROW]
[ROW][C]13[/C][C]0.054039[/C][C]0.6185[/C][C]0.268658[/C][/ROW]
[ROW][C]14[/C][C]-0.085944[/C][C]-0.9837[/C][C]0.163545[/C][/ROW]
[ROW][C]15[/C][C]0.096856[/C][C]1.1086[/C][C]0.134825[/C][/ROW]
[ROW][C]16[/C][C]-0.021139[/C][C]-0.242[/C][C]0.404598[/C][/ROW]
[ROW][C]17[/C][C]-0.039604[/C][C]-0.4533[/C][C]0.325546[/C][/ROW]
[ROW][C]18[/C][C]0.011304[/C][C]0.1294[/C][C]0.448626[/C][/ROW]
[ROW][C]19[/C][C]-0.03512[/C][C]-0.402[/C][C]0.344182[/C][/ROW]
[ROW][C]20[/C][C]0.053706[/C][C]0.6147[/C][C]0.269911[/C][/ROW]
[ROW][C]21[/C][C]-0.01406[/C][C]-0.1609[/C][C]0.4362[/C][/ROW]
[ROW][C]22[/C][C]0.024826[/C][C]0.2841[/C][C]0.388373[/C][/ROW]
[ROW][C]23[/C][C]-0.027401[/C][C]-0.3136[/C][C]0.377153[/C][/ROW]
[ROW][C]24[/C][C]-0.087266[/C][C]-0.9988[/C][C]0.159865[/C][/ROW]
[ROW][C]25[/C][C]0.011173[/C][C]0.1279[/C][C]0.449222[/C][/ROW]
[ROW][C]26[/C][C]0.039579[/C][C]0.453[/C][C]0.325648[/C][/ROW]
[ROW][C]27[/C][C]0.107435[/C][C]1.2296[/C][C]0.110516[/C][/ROW]
[ROW][C]28[/C][C]-0.060443[/C][C]-0.6918[/C][C]0.245143[/C][/ROW]
[ROW][C]29[/C][C]-0.02277[/C][C]-0.2606[/C][C]0.3974[/C][/ROW]
[ROW][C]30[/C][C]-0.066188[/C][C]-0.7576[/C][C]0.22504[/C][/ROW]
[ROW][C]31[/C][C]0.047097[/C][C]0.539[/C][C]0.295385[/C][/ROW]
[ROW][C]32[/C][C]-0.039416[/C][C]-0.4511[/C][C]0.32632[/C][/ROW]
[ROW][C]33[/C][C]0.08087[/C][C]0.9256[/C][C]0.178178[/C][/ROW]
[ROW][C]34[/C][C]-0.097021[/C][C]-1.1105[/C][C]0.134417[/C][/ROW]
[ROW][C]35[/C][C]0.097048[/C][C]1.1108[/C][C]0.134353[/C][/ROW]
[ROW][C]36[/C][C]-0.119894[/C][C]-1.3723[/C][C]0.086165[/C][/ROW]
[ROW][C]37[/C][C]0.074821[/C][C]0.8564[/C][C]0.196679[/C][/ROW]
[ROW][C]38[/C][C]-0.003216[/C][C]-0.0368[/C][C]0.485345[/C][/ROW]
[ROW][C]39[/C][C]-0.016286[/C][C]-0.1864[/C][C]0.426209[/C][/ROW]
[ROW][C]40[/C][C]0.049996[/C][C]0.5722[/C][C]0.284073[/C][/ROW]
[ROW][C]41[/C][C]-0.107464[/C][C]-1.23[/C][C]0.110455[/C][/ROW]
[ROW][C]42[/C][C]0.023467[/C][C]0.2686[/C][C]0.394332[/C][/ROW]
[ROW][C]43[/C][C]-0.018329[/C][C]-0.2098[/C][C]0.417081[/C][/ROW]
[ROW][C]44[/C][C]0.064055[/C][C]0.7331[/C][C]0.232392[/C][/ROW]
[ROW][C]45[/C][C]-0.002759[/C][C]-0.0316[/C][C]0.487428[/C][/ROW]
[ROW][C]46[/C][C]-0.014039[/C][C]-0.1607[/C][C]0.436296[/C][/ROW]
[ROW][C]47[/C][C]-0.080432[/C][C]-0.9206[/C][C]0.179481[/C][/ROW]
[ROW][C]48[/C][C]0.089015[/C][C]1.0188[/C][C]0.155082[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75083&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75083&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
1-0.448141-5.12921e-06
20.0881381.00880.157469
3-0.040879-0.46790.320322
4-0.117172-1.34110.091105
50.167081.91230.029009
6-0.119377-1.36630.087087
70.14641.67560.048099
8-0.034364-0.39330.347363
9-0.048285-0.55270.290722
100.0091830.10510.458229
11-0.009057-0.10370.458797
120.0403460.46180.322501
130.0540390.61850.268658
14-0.085944-0.98370.163545
150.0968561.10860.134825
16-0.021139-0.2420.404598
17-0.039604-0.45330.325546
180.0113040.12940.448626
19-0.03512-0.4020.344182
200.0537060.61470.269911
21-0.01406-0.16090.4362
220.0248260.28410.388373
23-0.027401-0.31360.377153
24-0.087266-0.99880.159865
250.0111730.12790.449222
260.0395790.4530.325648
270.1074351.22960.110516
28-0.060443-0.69180.245143
29-0.02277-0.26060.3974
30-0.066188-0.75760.22504
310.0470970.5390.295385
32-0.039416-0.45110.32632
330.080870.92560.178178
34-0.097021-1.11050.134417
350.0970481.11080.134353
36-0.119894-1.37230.086165
370.0748210.85640.196679
38-0.003216-0.03680.485345
39-0.016286-0.18640.426209
400.0499960.57220.284073
41-0.107464-1.230.110455
420.0234670.26860.394332
43-0.018329-0.20980.417081
440.0640550.73310.232392
45-0.002759-0.03160.487428
46-0.014039-0.16070.436296
47-0.080432-0.92060.179481
480.0890151.01880.155082







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.448141-5.12921e-06
2-0.141012-1.6140.054471
3-0.075331-0.86220.195077
4-0.20087-2.29910.011542
50.028360.32460.373001
6-0.04459-0.51040.305332
70.0939111.07490.142205
80.0887881.01620.155697
90.008020.09180.463502
10-0.029932-0.34260.366227
110.0162270.18570.426472
120.0222810.2550.399555
130.1002951.14790.126546
14-0.025085-0.28710.387242
150.0713550.81670.207792
160.0946331.08310.14037
170.0069460.07950.468378
18-0.037866-0.43340.332718
19-0.040352-0.46190.322477
20-0.02075-0.23750.40632
210.0042460.04860.480656
220.0251260.28760.387061
23-0.023056-0.26390.396139
24-0.124961-1.43020.077514
25-0.116565-1.33410.092236
26-0.019904-0.22780.410073
270.1296681.48410.07009
280.0303580.34750.364401
29-0.011046-0.12640.449795
30-0.073341-0.83940.201381
310.0183450.210.417011
32-0.043286-0.49540.310562
330.0371420.42510.335728
34-0.117903-1.34950.089758
350.0503340.57610.28277
36-0.050558-0.57870.281904
370.0670990.7680.221941
380.0059050.06760.473108
390.0240730.27550.391672
400.0122620.14030.4443
41-0.032358-0.37040.355856
42-0.132535-1.51690.065847
43-0.071945-0.82350.205874
440.0413430.47320.318434
450.083410.95470.170752
460.0395190.45230.325894
47-0.115496-1.32190.094251
48-0.013642-0.15610.438081

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.448141 & -5.1292 & 1e-06 \tabularnewline
2 & -0.141012 & -1.614 & 0.054471 \tabularnewline
3 & -0.075331 & -0.8622 & 0.195077 \tabularnewline
4 & -0.20087 & -2.2991 & 0.011542 \tabularnewline
5 & 0.02836 & 0.3246 & 0.373001 \tabularnewline
6 & -0.04459 & -0.5104 & 0.305332 \tabularnewline
7 & 0.093911 & 1.0749 & 0.142205 \tabularnewline
8 & 0.088788 & 1.0162 & 0.155697 \tabularnewline
9 & 0.00802 & 0.0918 & 0.463502 \tabularnewline
10 & -0.029932 & -0.3426 & 0.366227 \tabularnewline
11 & 0.016227 & 0.1857 & 0.426472 \tabularnewline
12 & 0.022281 & 0.255 & 0.399555 \tabularnewline
13 & 0.100295 & 1.1479 & 0.126546 \tabularnewline
14 & -0.025085 & -0.2871 & 0.387242 \tabularnewline
15 & 0.071355 & 0.8167 & 0.207792 \tabularnewline
16 & 0.094633 & 1.0831 & 0.14037 \tabularnewline
17 & 0.006946 & 0.0795 & 0.468378 \tabularnewline
18 & -0.037866 & -0.4334 & 0.332718 \tabularnewline
19 & -0.040352 & -0.4619 & 0.322477 \tabularnewline
20 & -0.02075 & -0.2375 & 0.40632 \tabularnewline
21 & 0.004246 & 0.0486 & 0.480656 \tabularnewline
22 & 0.025126 & 0.2876 & 0.387061 \tabularnewline
23 & -0.023056 & -0.2639 & 0.396139 \tabularnewline
24 & -0.124961 & -1.4302 & 0.077514 \tabularnewline
25 & -0.116565 & -1.3341 & 0.092236 \tabularnewline
26 & -0.019904 & -0.2278 & 0.410073 \tabularnewline
27 & 0.129668 & 1.4841 & 0.07009 \tabularnewline
28 & 0.030358 & 0.3475 & 0.364401 \tabularnewline
29 & -0.011046 & -0.1264 & 0.449795 \tabularnewline
30 & -0.073341 & -0.8394 & 0.201381 \tabularnewline
31 & 0.018345 & 0.21 & 0.417011 \tabularnewline
32 & -0.043286 & -0.4954 & 0.310562 \tabularnewline
33 & 0.037142 & 0.4251 & 0.335728 \tabularnewline
34 & -0.117903 & -1.3495 & 0.089758 \tabularnewline
35 & 0.050334 & 0.5761 & 0.28277 \tabularnewline
36 & -0.050558 & -0.5787 & 0.281904 \tabularnewline
37 & 0.067099 & 0.768 & 0.221941 \tabularnewline
38 & 0.005905 & 0.0676 & 0.473108 \tabularnewline
39 & 0.024073 & 0.2755 & 0.391672 \tabularnewline
40 & 0.012262 & 0.1403 & 0.4443 \tabularnewline
41 & -0.032358 & -0.3704 & 0.355856 \tabularnewline
42 & -0.132535 & -1.5169 & 0.065847 \tabularnewline
43 & -0.071945 & -0.8235 & 0.205874 \tabularnewline
44 & 0.041343 & 0.4732 & 0.318434 \tabularnewline
45 & 0.08341 & 0.9547 & 0.170752 \tabularnewline
46 & 0.039519 & 0.4523 & 0.325894 \tabularnewline
47 & -0.115496 & -1.3219 & 0.094251 \tabularnewline
48 & -0.013642 & -0.1561 & 0.438081 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75083&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]-0.448141[/C][C]-5.1292[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.141012[/C][C]-1.614[/C][C]0.054471[/C][/ROW]
[ROW][C]3[/C][C]-0.075331[/C][C]-0.8622[/C][C]0.195077[/C][/ROW]
[ROW][C]4[/C][C]-0.20087[/C][C]-2.2991[/C][C]0.011542[/C][/ROW]
[ROW][C]5[/C][C]0.02836[/C][C]0.3246[/C][C]0.373001[/C][/ROW]
[ROW][C]6[/C][C]-0.04459[/C][C]-0.5104[/C][C]0.305332[/C][/ROW]
[ROW][C]7[/C][C]0.093911[/C][C]1.0749[/C][C]0.142205[/C][/ROW]
[ROW][C]8[/C][C]0.088788[/C][C]1.0162[/C][C]0.155697[/C][/ROW]
[ROW][C]9[/C][C]0.00802[/C][C]0.0918[/C][C]0.463502[/C][/ROW]
[ROW][C]10[/C][C]-0.029932[/C][C]-0.3426[/C][C]0.366227[/C][/ROW]
[ROW][C]11[/C][C]0.016227[/C][C]0.1857[/C][C]0.426472[/C][/ROW]
[ROW][C]12[/C][C]0.022281[/C][C]0.255[/C][C]0.399555[/C][/ROW]
[ROW][C]13[/C][C]0.100295[/C][C]1.1479[/C][C]0.126546[/C][/ROW]
[ROW][C]14[/C][C]-0.025085[/C][C]-0.2871[/C][C]0.387242[/C][/ROW]
[ROW][C]15[/C][C]0.071355[/C][C]0.8167[/C][C]0.207792[/C][/ROW]
[ROW][C]16[/C][C]0.094633[/C][C]1.0831[/C][C]0.14037[/C][/ROW]
[ROW][C]17[/C][C]0.006946[/C][C]0.0795[/C][C]0.468378[/C][/ROW]
[ROW][C]18[/C][C]-0.037866[/C][C]-0.4334[/C][C]0.332718[/C][/ROW]
[ROW][C]19[/C][C]-0.040352[/C][C]-0.4619[/C][C]0.322477[/C][/ROW]
[ROW][C]20[/C][C]-0.02075[/C][C]-0.2375[/C][C]0.40632[/C][/ROW]
[ROW][C]21[/C][C]0.004246[/C][C]0.0486[/C][C]0.480656[/C][/ROW]
[ROW][C]22[/C][C]0.025126[/C][C]0.2876[/C][C]0.387061[/C][/ROW]
[ROW][C]23[/C][C]-0.023056[/C][C]-0.2639[/C][C]0.396139[/C][/ROW]
[ROW][C]24[/C][C]-0.124961[/C][C]-1.4302[/C][C]0.077514[/C][/ROW]
[ROW][C]25[/C][C]-0.116565[/C][C]-1.3341[/C][C]0.092236[/C][/ROW]
[ROW][C]26[/C][C]-0.019904[/C][C]-0.2278[/C][C]0.410073[/C][/ROW]
[ROW][C]27[/C][C]0.129668[/C][C]1.4841[/C][C]0.07009[/C][/ROW]
[ROW][C]28[/C][C]0.030358[/C][C]0.3475[/C][C]0.364401[/C][/ROW]
[ROW][C]29[/C][C]-0.011046[/C][C]-0.1264[/C][C]0.449795[/C][/ROW]
[ROW][C]30[/C][C]-0.073341[/C][C]-0.8394[/C][C]0.201381[/C][/ROW]
[ROW][C]31[/C][C]0.018345[/C][C]0.21[/C][C]0.417011[/C][/ROW]
[ROW][C]32[/C][C]-0.043286[/C][C]-0.4954[/C][C]0.310562[/C][/ROW]
[ROW][C]33[/C][C]0.037142[/C][C]0.4251[/C][C]0.335728[/C][/ROW]
[ROW][C]34[/C][C]-0.117903[/C][C]-1.3495[/C][C]0.089758[/C][/ROW]
[ROW][C]35[/C][C]0.050334[/C][C]0.5761[/C][C]0.28277[/C][/ROW]
[ROW][C]36[/C][C]-0.050558[/C][C]-0.5787[/C][C]0.281904[/C][/ROW]
[ROW][C]37[/C][C]0.067099[/C][C]0.768[/C][C]0.221941[/C][/ROW]
[ROW][C]38[/C][C]0.005905[/C][C]0.0676[/C][C]0.473108[/C][/ROW]
[ROW][C]39[/C][C]0.024073[/C][C]0.2755[/C][C]0.391672[/C][/ROW]
[ROW][C]40[/C][C]0.012262[/C][C]0.1403[/C][C]0.4443[/C][/ROW]
[ROW][C]41[/C][C]-0.032358[/C][C]-0.3704[/C][C]0.355856[/C][/ROW]
[ROW][C]42[/C][C]-0.132535[/C][C]-1.5169[/C][C]0.065847[/C][/ROW]
[ROW][C]43[/C][C]-0.071945[/C][C]-0.8235[/C][C]0.205874[/C][/ROW]
[ROW][C]44[/C][C]0.041343[/C][C]0.4732[/C][C]0.318434[/C][/ROW]
[ROW][C]45[/C][C]0.08341[/C][C]0.9547[/C][C]0.170752[/C][/ROW]
[ROW][C]46[/C][C]0.039519[/C][C]0.4523[/C][C]0.325894[/C][/ROW]
[ROW][C]47[/C][C]-0.115496[/C][C]-1.3219[/C][C]0.094251[/C][/ROW]
[ROW][C]48[/C][C]-0.013642[/C][C]-0.1561[/C][C]0.438081[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75083&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75083&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
1-0.448141-5.12921e-06
2-0.141012-1.6140.054471
3-0.075331-0.86220.195077
4-0.20087-2.29910.011542
50.028360.32460.373001
6-0.04459-0.51040.305332
70.0939111.07490.142205
80.0887881.01620.155697
90.008020.09180.463502
10-0.029932-0.34260.366227
110.0162270.18570.426472
120.0222810.2550.399555
130.1002951.14790.126546
14-0.025085-0.28710.387242
150.0713550.81670.207792
160.0946331.08310.14037
170.0069460.07950.468378
18-0.037866-0.43340.332718
19-0.040352-0.46190.322477
20-0.02075-0.23750.40632
210.0042460.04860.480656
220.0251260.28760.387061
23-0.023056-0.26390.396139
24-0.124961-1.43020.077514
25-0.116565-1.33410.092236
26-0.019904-0.22780.410073
270.1296681.48410.07009
280.0303580.34750.364401
29-0.011046-0.12640.449795
30-0.073341-0.83940.201381
310.0183450.210.417011
32-0.043286-0.49540.310562
330.0371420.42510.335728
34-0.117903-1.34950.089758
350.0503340.57610.28277
36-0.050558-0.57870.281904
370.0670990.7680.221941
380.0059050.06760.473108
390.0240730.27550.391672
400.0122620.14030.4443
41-0.032358-0.37040.355856
42-0.132535-1.51690.065847
43-0.071945-0.82350.205874
440.0413430.47320.318434
450.083410.95470.170752
460.0395190.45230.325894
47-0.115496-1.32190.094251
48-0.013642-0.15610.438081



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')