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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 09 May 2009 07:33:13 -0600
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/May/09/t1241876098fg1srpvpeorgnxa.htm/, Retrieved Sun, 05 May 2024 09:33:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39698, Retrieved Sun, 05 May 2024 09:33:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [oef 6bis (met tre...] [2009-05-09 13:33:13] [2ee75919b5830eac25092adc1951c043] [Current]
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Dataseries X:
356445
291705
310900
332340
257166
334551
317365
270863
317904
423141
317684
411063
371161
299023
326964
327146
303447
351994
320317
257151
320274
476982
301723
363567
338831
265802
307691
334207
303127
318863
292123
245155
284794
391604
304982
369552
356021
247577
277885
294032
310845
311023
298462
234188
297478
371017
291128
316374
326001
222302
227424
255428
278250
280335
241894
255075
255115
319482
270694
300209
283531
218924
236466
267980
219994
256052
230444
200778
240960
277837
209776
232065




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=39698&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=39698&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39698&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
1-0.408361-3.44090.000488
2-0.241315-2.03340.022878
30.3650863.07630.001488
4-0.246773-2.07930.020599
5-0.208467-1.75660.041651
60.474113.99497.8e-05
7-0.166367-1.40180.08266
8-0.256806-2.16390.016919
90.3038892.56060.006288
10-0.182258-1.53570.064525
11-0.298528-2.51540.007076
120.7235836.0970
13-0.26997-2.27480.01297
14-0.231538-1.9510.027503
150.328722.76980.003576
16-0.209351-1.7640.041015
17-0.188042-1.58450.058766
180.3809553.210.000997
19-0.094909-0.79970.213271
20-0.244644-2.06140.021464
210.2762482.32770.011391
22-0.167652-1.41270.081062
23-0.205032-1.72760.044201
240.523694.41271.8e-05
25-0.170553-1.43710.077541
26-0.208796-1.75930.041413
270.2750082.31730.011689
28-0.157206-1.32460.094769
29-0.15062-1.26910.104266
300.2612162.2010.015493
31-0.051252-0.43190.333578
32-0.165712-1.39630.083486
330.1679151.41490.080738
34-0.084434-0.71150.239566
35-0.144019-1.21350.114474
360.3414362.8770.002649
37-0.117283-0.98820.163194
38-0.128796-1.08530.140739
390.1742271.46810.073252
40-0.098924-0.83350.203666
41-0.121935-1.02740.15385
420.2182981.83940.035018
43-0.082622-0.69620.244292
44-0.088161-0.74290.23001
450.0993530.83720.202655
46-0.034093-0.28730.38737
47-0.095369-0.80360.212156
480.2210211.86240.033345

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.408361 & -3.4409 & 0.000488 \tabularnewline
2 & -0.241315 & -2.0334 & 0.022878 \tabularnewline
3 & 0.365086 & 3.0763 & 0.001488 \tabularnewline
4 & -0.246773 & -2.0793 & 0.020599 \tabularnewline
5 & -0.208467 & -1.7566 & 0.041651 \tabularnewline
6 & 0.47411 & 3.9949 & 7.8e-05 \tabularnewline
7 & -0.166367 & -1.4018 & 0.08266 \tabularnewline
8 & -0.256806 & -2.1639 & 0.016919 \tabularnewline
9 & 0.303889 & 2.5606 & 0.006288 \tabularnewline
10 & -0.182258 & -1.5357 & 0.064525 \tabularnewline
11 & -0.298528 & -2.5154 & 0.007076 \tabularnewline
12 & 0.723583 & 6.097 & 0 \tabularnewline
13 & -0.26997 & -2.2748 & 0.01297 \tabularnewline
14 & -0.231538 & -1.951 & 0.027503 \tabularnewline
15 & 0.32872 & 2.7698 & 0.003576 \tabularnewline
16 & -0.209351 & -1.764 & 0.041015 \tabularnewline
17 & -0.188042 & -1.5845 & 0.058766 \tabularnewline
18 & 0.380955 & 3.21 & 0.000997 \tabularnewline
19 & -0.094909 & -0.7997 & 0.213271 \tabularnewline
20 & -0.244644 & -2.0614 & 0.021464 \tabularnewline
21 & 0.276248 & 2.3277 & 0.011391 \tabularnewline
22 & -0.167652 & -1.4127 & 0.081062 \tabularnewline
23 & -0.205032 & -1.7276 & 0.044201 \tabularnewline
24 & 0.52369 & 4.4127 & 1.8e-05 \tabularnewline
25 & -0.170553 & -1.4371 & 0.077541 \tabularnewline
26 & -0.208796 & -1.7593 & 0.041413 \tabularnewline
27 & 0.275008 & 2.3173 & 0.011689 \tabularnewline
28 & -0.157206 & -1.3246 & 0.094769 \tabularnewline
29 & -0.15062 & -1.2691 & 0.104266 \tabularnewline
30 & 0.261216 & 2.201 & 0.015493 \tabularnewline
31 & -0.051252 & -0.4319 & 0.333578 \tabularnewline
32 & -0.165712 & -1.3963 & 0.083486 \tabularnewline
33 & 0.167915 & 1.4149 & 0.080738 \tabularnewline
34 & -0.084434 & -0.7115 & 0.239566 \tabularnewline
35 & -0.144019 & -1.2135 & 0.114474 \tabularnewline
36 & 0.341436 & 2.877 & 0.002649 \tabularnewline
37 & -0.117283 & -0.9882 & 0.163194 \tabularnewline
38 & -0.128796 & -1.0853 & 0.140739 \tabularnewline
39 & 0.174227 & 1.4681 & 0.073252 \tabularnewline
40 & -0.098924 & -0.8335 & 0.203666 \tabularnewline
41 & -0.121935 & -1.0274 & 0.15385 \tabularnewline
42 & 0.218298 & 1.8394 & 0.035018 \tabularnewline
43 & -0.082622 & -0.6962 & 0.244292 \tabularnewline
44 & -0.088161 & -0.7429 & 0.23001 \tabularnewline
45 & 0.099353 & 0.8372 & 0.202655 \tabularnewline
46 & -0.034093 & -0.2873 & 0.38737 \tabularnewline
47 & -0.095369 & -0.8036 & 0.212156 \tabularnewline
48 & 0.221021 & 1.8624 & 0.033345 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39698&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]-0.408361[/C][C]-3.4409[/C][C]0.000488[/C][/ROW]
[ROW][C]2[/C][C]-0.241315[/C][C]-2.0334[/C][C]0.022878[/C][/ROW]
[ROW][C]3[/C][C]0.365086[/C][C]3.0763[/C][C]0.001488[/C][/ROW]
[ROW][C]4[/C][C]-0.246773[/C][C]-2.0793[/C][C]0.020599[/C][/ROW]
[ROW][C]5[/C][C]-0.208467[/C][C]-1.7566[/C][C]0.041651[/C][/ROW]
[ROW][C]6[/C][C]0.47411[/C][C]3.9949[/C][C]7.8e-05[/C][/ROW]
[ROW][C]7[/C][C]-0.166367[/C][C]-1.4018[/C][C]0.08266[/C][/ROW]
[ROW][C]8[/C][C]-0.256806[/C][C]-2.1639[/C][C]0.016919[/C][/ROW]
[ROW][C]9[/C][C]0.303889[/C][C]2.5606[/C][C]0.006288[/C][/ROW]
[ROW][C]10[/C][C]-0.182258[/C][C]-1.5357[/C][C]0.064525[/C][/ROW]
[ROW][C]11[/C][C]-0.298528[/C][C]-2.5154[/C][C]0.007076[/C][/ROW]
[ROW][C]12[/C][C]0.723583[/C][C]6.097[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.26997[/C][C]-2.2748[/C][C]0.01297[/C][/ROW]
[ROW][C]14[/C][C]-0.231538[/C][C]-1.951[/C][C]0.027503[/C][/ROW]
[ROW][C]15[/C][C]0.32872[/C][C]2.7698[/C][C]0.003576[/C][/ROW]
[ROW][C]16[/C][C]-0.209351[/C][C]-1.764[/C][C]0.041015[/C][/ROW]
[ROW][C]17[/C][C]-0.188042[/C][C]-1.5845[/C][C]0.058766[/C][/ROW]
[ROW][C]18[/C][C]0.380955[/C][C]3.21[/C][C]0.000997[/C][/ROW]
[ROW][C]19[/C][C]-0.094909[/C][C]-0.7997[/C][C]0.213271[/C][/ROW]
[ROW][C]20[/C][C]-0.244644[/C][C]-2.0614[/C][C]0.021464[/C][/ROW]
[ROW][C]21[/C][C]0.276248[/C][C]2.3277[/C][C]0.011391[/C][/ROW]
[ROW][C]22[/C][C]-0.167652[/C][C]-1.4127[/C][C]0.081062[/C][/ROW]
[ROW][C]23[/C][C]-0.205032[/C][C]-1.7276[/C][C]0.044201[/C][/ROW]
[ROW][C]24[/C][C]0.52369[/C][C]4.4127[/C][C]1.8e-05[/C][/ROW]
[ROW][C]25[/C][C]-0.170553[/C][C]-1.4371[/C][C]0.077541[/C][/ROW]
[ROW][C]26[/C][C]-0.208796[/C][C]-1.7593[/C][C]0.041413[/C][/ROW]
[ROW][C]27[/C][C]0.275008[/C][C]2.3173[/C][C]0.011689[/C][/ROW]
[ROW][C]28[/C][C]-0.157206[/C][C]-1.3246[/C][C]0.094769[/C][/ROW]
[ROW][C]29[/C][C]-0.15062[/C][C]-1.2691[/C][C]0.104266[/C][/ROW]
[ROW][C]30[/C][C]0.261216[/C][C]2.201[/C][C]0.015493[/C][/ROW]
[ROW][C]31[/C][C]-0.051252[/C][C]-0.4319[/C][C]0.333578[/C][/ROW]
[ROW][C]32[/C][C]-0.165712[/C][C]-1.3963[/C][C]0.083486[/C][/ROW]
[ROW][C]33[/C][C]0.167915[/C][C]1.4149[/C][C]0.080738[/C][/ROW]
[ROW][C]34[/C][C]-0.084434[/C][C]-0.7115[/C][C]0.239566[/C][/ROW]
[ROW][C]35[/C][C]-0.144019[/C][C]-1.2135[/C][C]0.114474[/C][/ROW]
[ROW][C]36[/C][C]0.341436[/C][C]2.877[/C][C]0.002649[/C][/ROW]
[ROW][C]37[/C][C]-0.117283[/C][C]-0.9882[/C][C]0.163194[/C][/ROW]
[ROW][C]38[/C][C]-0.128796[/C][C]-1.0853[/C][C]0.140739[/C][/ROW]
[ROW][C]39[/C][C]0.174227[/C][C]1.4681[/C][C]0.073252[/C][/ROW]
[ROW][C]40[/C][C]-0.098924[/C][C]-0.8335[/C][C]0.203666[/C][/ROW]
[ROW][C]41[/C][C]-0.121935[/C][C]-1.0274[/C][C]0.15385[/C][/ROW]
[ROW][C]42[/C][C]0.218298[/C][C]1.8394[/C][C]0.035018[/C][/ROW]
[ROW][C]43[/C][C]-0.082622[/C][C]-0.6962[/C][C]0.244292[/C][/ROW]
[ROW][C]44[/C][C]-0.088161[/C][C]-0.7429[/C][C]0.23001[/C][/ROW]
[ROW][C]45[/C][C]0.099353[/C][C]0.8372[/C][C]0.202655[/C][/ROW]
[ROW][C]46[/C][C]-0.034093[/C][C]-0.2873[/C][C]0.38737[/C][/ROW]
[ROW][C]47[/C][C]-0.095369[/C][C]-0.8036[/C][C]0.212156[/C][/ROW]
[ROW][C]48[/C][C]0.221021[/C][C]1.8624[/C][C]0.033345[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39698&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39698&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
1-0.408361-3.44090.000488
2-0.241315-2.03340.022878
30.3650863.07630.001488
4-0.246773-2.07930.020599
5-0.208467-1.75660.041651
60.474113.99497.8e-05
7-0.166367-1.40180.08266
8-0.256806-2.16390.016919
90.3038892.56060.006288
10-0.182258-1.53570.064525
11-0.298528-2.51540.007076
120.7235836.0970
13-0.26997-2.27480.01297
14-0.231538-1.9510.027503
150.328722.76980.003576
16-0.209351-1.7640.041015
17-0.188042-1.58450.058766
180.3809553.210.000997
19-0.094909-0.79970.213271
20-0.244644-2.06140.021464
210.2762482.32770.011391
22-0.167652-1.41270.081062
23-0.205032-1.72760.044201
240.523694.41271.8e-05
25-0.170553-1.43710.077541
26-0.208796-1.75930.041413
270.2750082.31730.011689
28-0.157206-1.32460.094769
29-0.15062-1.26910.104266
300.2612162.2010.015493
31-0.051252-0.43190.333578
32-0.165712-1.39630.083486
330.1679151.41490.080738
34-0.084434-0.71150.239566
35-0.144019-1.21350.114474
360.3414362.8770.002649
37-0.117283-0.98820.163194
38-0.128796-1.08530.140739
390.1742271.46810.073252
40-0.098924-0.83350.203666
41-0.121935-1.02740.15385
420.2182981.83940.035018
43-0.082622-0.69620.244292
44-0.088161-0.74290.23001
450.0993530.83720.202655
46-0.034093-0.28730.38737
47-0.095369-0.80360.212156
480.2210211.86240.033345







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.408361-3.44090.000488
2-0.489743-4.12664.9e-05
30.0288760.24330.404232
4-0.208554-1.75730.041588
5-0.418581-3.5270.000371
60.0478470.40320.344017
70.0499960.42130.337413
8-0.179318-1.5110.067619
9-0.140908-1.18730.11953
10-0.240669-2.02790.023161
11-0.615197-5.18371e-06
120.1531171.29020.100585
130.074820.63040.265214
140.0922480.77730.219784
150.0192120.16190.435929
16-0.018571-0.15650.438047
170.0195720.16490.434741
18-0.148535-1.25160.107416
19-0.096033-0.80920.210556
20-0.102719-0.86550.194833
210.0192790.16250.435706
22-0.072926-0.61450.270431
23-0.02178-0.18350.427456
24-0.031426-0.26480.395965
250.001010.00850.496618
26-0.016375-0.1380.445324
27-0.058948-0.49670.310465
280.0106770.090.464285
290.0927620.78160.218517
30-0.024235-0.20420.419387
31-0.105062-0.88530.1895
320.0438320.36930.356489
33-0.073823-0.6220.267953
340.0499930.42120.337425
350.0417450.35170.363034
360.0461030.38850.349414
37-0.033781-0.28460.388373
380.0002050.00170.499313
39-0.067177-0.5660.286574
40-0.059702-0.50310.30824
41-0.091112-0.76770.222598
420.0839270.70720.240885
43-0.007025-0.05920.476481
44-0.025355-0.21360.415719
45-0.064292-0.54170.29485
46-0.029577-0.24920.401955
47-0.015861-0.13360.44703
48-0.054248-0.45710.324496

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.408361 & -3.4409 & 0.000488 \tabularnewline
2 & -0.489743 & -4.1266 & 4.9e-05 \tabularnewline
3 & 0.028876 & 0.2433 & 0.404232 \tabularnewline
4 & -0.208554 & -1.7573 & 0.041588 \tabularnewline
5 & -0.418581 & -3.527 & 0.000371 \tabularnewline
6 & 0.047847 & 0.4032 & 0.344017 \tabularnewline
7 & 0.049996 & 0.4213 & 0.337413 \tabularnewline
8 & -0.179318 & -1.511 & 0.067619 \tabularnewline
9 & -0.140908 & -1.1873 & 0.11953 \tabularnewline
10 & -0.240669 & -2.0279 & 0.023161 \tabularnewline
11 & -0.615197 & -5.1837 & 1e-06 \tabularnewline
12 & 0.153117 & 1.2902 & 0.100585 \tabularnewline
13 & 0.07482 & 0.6304 & 0.265214 \tabularnewline
14 & 0.092248 & 0.7773 & 0.219784 \tabularnewline
15 & 0.019212 & 0.1619 & 0.435929 \tabularnewline
16 & -0.018571 & -0.1565 & 0.438047 \tabularnewline
17 & 0.019572 & 0.1649 & 0.434741 \tabularnewline
18 & -0.148535 & -1.2516 & 0.107416 \tabularnewline
19 & -0.096033 & -0.8092 & 0.210556 \tabularnewline
20 & -0.102719 & -0.8655 & 0.194833 \tabularnewline
21 & 0.019279 & 0.1625 & 0.435706 \tabularnewline
22 & -0.072926 & -0.6145 & 0.270431 \tabularnewline
23 & -0.02178 & -0.1835 & 0.427456 \tabularnewline
24 & -0.031426 & -0.2648 & 0.395965 \tabularnewline
25 & 0.00101 & 0.0085 & 0.496618 \tabularnewline
26 & -0.016375 & -0.138 & 0.445324 \tabularnewline
27 & -0.058948 & -0.4967 & 0.310465 \tabularnewline
28 & 0.010677 & 0.09 & 0.464285 \tabularnewline
29 & 0.092762 & 0.7816 & 0.218517 \tabularnewline
30 & -0.024235 & -0.2042 & 0.419387 \tabularnewline
31 & -0.105062 & -0.8853 & 0.1895 \tabularnewline
32 & 0.043832 & 0.3693 & 0.356489 \tabularnewline
33 & -0.073823 & -0.622 & 0.267953 \tabularnewline
34 & 0.049993 & 0.4212 & 0.337425 \tabularnewline
35 & 0.041745 & 0.3517 & 0.363034 \tabularnewline
36 & 0.046103 & 0.3885 & 0.349414 \tabularnewline
37 & -0.033781 & -0.2846 & 0.388373 \tabularnewline
38 & 0.000205 & 0.0017 & 0.499313 \tabularnewline
39 & -0.067177 & -0.566 & 0.286574 \tabularnewline
40 & -0.059702 & -0.5031 & 0.30824 \tabularnewline
41 & -0.091112 & -0.7677 & 0.222598 \tabularnewline
42 & 0.083927 & 0.7072 & 0.240885 \tabularnewline
43 & -0.007025 & -0.0592 & 0.476481 \tabularnewline
44 & -0.025355 & -0.2136 & 0.415719 \tabularnewline
45 & -0.064292 & -0.5417 & 0.29485 \tabularnewline
46 & -0.029577 & -0.2492 & 0.401955 \tabularnewline
47 & -0.015861 & -0.1336 & 0.44703 \tabularnewline
48 & -0.054248 & -0.4571 & 0.324496 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39698&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]-0.408361[/C][C]-3.4409[/C][C]0.000488[/C][/ROW]
[ROW][C]2[/C][C]-0.489743[/C][C]-4.1266[/C][C]4.9e-05[/C][/ROW]
[ROW][C]3[/C][C]0.028876[/C][C]0.2433[/C][C]0.404232[/C][/ROW]
[ROW][C]4[/C][C]-0.208554[/C][C]-1.7573[/C][C]0.041588[/C][/ROW]
[ROW][C]5[/C][C]-0.418581[/C][C]-3.527[/C][C]0.000371[/C][/ROW]
[ROW][C]6[/C][C]0.047847[/C][C]0.4032[/C][C]0.344017[/C][/ROW]
[ROW][C]7[/C][C]0.049996[/C][C]0.4213[/C][C]0.337413[/C][/ROW]
[ROW][C]8[/C][C]-0.179318[/C][C]-1.511[/C][C]0.067619[/C][/ROW]
[ROW][C]9[/C][C]-0.140908[/C][C]-1.1873[/C][C]0.11953[/C][/ROW]
[ROW][C]10[/C][C]-0.240669[/C][C]-2.0279[/C][C]0.023161[/C][/ROW]
[ROW][C]11[/C][C]-0.615197[/C][C]-5.1837[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.153117[/C][C]1.2902[/C][C]0.100585[/C][/ROW]
[ROW][C]13[/C][C]0.07482[/C][C]0.6304[/C][C]0.265214[/C][/ROW]
[ROW][C]14[/C][C]0.092248[/C][C]0.7773[/C][C]0.219784[/C][/ROW]
[ROW][C]15[/C][C]0.019212[/C][C]0.1619[/C][C]0.435929[/C][/ROW]
[ROW][C]16[/C][C]-0.018571[/C][C]-0.1565[/C][C]0.438047[/C][/ROW]
[ROW][C]17[/C][C]0.019572[/C][C]0.1649[/C][C]0.434741[/C][/ROW]
[ROW][C]18[/C][C]-0.148535[/C][C]-1.2516[/C][C]0.107416[/C][/ROW]
[ROW][C]19[/C][C]-0.096033[/C][C]-0.8092[/C][C]0.210556[/C][/ROW]
[ROW][C]20[/C][C]-0.102719[/C][C]-0.8655[/C][C]0.194833[/C][/ROW]
[ROW][C]21[/C][C]0.019279[/C][C]0.1625[/C][C]0.435706[/C][/ROW]
[ROW][C]22[/C][C]-0.072926[/C][C]-0.6145[/C][C]0.270431[/C][/ROW]
[ROW][C]23[/C][C]-0.02178[/C][C]-0.1835[/C][C]0.427456[/C][/ROW]
[ROW][C]24[/C][C]-0.031426[/C][C]-0.2648[/C][C]0.395965[/C][/ROW]
[ROW][C]25[/C][C]0.00101[/C][C]0.0085[/C][C]0.496618[/C][/ROW]
[ROW][C]26[/C][C]-0.016375[/C][C]-0.138[/C][C]0.445324[/C][/ROW]
[ROW][C]27[/C][C]-0.058948[/C][C]-0.4967[/C][C]0.310465[/C][/ROW]
[ROW][C]28[/C][C]0.010677[/C][C]0.09[/C][C]0.464285[/C][/ROW]
[ROW][C]29[/C][C]0.092762[/C][C]0.7816[/C][C]0.218517[/C][/ROW]
[ROW][C]30[/C][C]-0.024235[/C][C]-0.2042[/C][C]0.419387[/C][/ROW]
[ROW][C]31[/C][C]-0.105062[/C][C]-0.8853[/C][C]0.1895[/C][/ROW]
[ROW][C]32[/C][C]0.043832[/C][C]0.3693[/C][C]0.356489[/C][/ROW]
[ROW][C]33[/C][C]-0.073823[/C][C]-0.622[/C][C]0.267953[/C][/ROW]
[ROW][C]34[/C][C]0.049993[/C][C]0.4212[/C][C]0.337425[/C][/ROW]
[ROW][C]35[/C][C]0.041745[/C][C]0.3517[/C][C]0.363034[/C][/ROW]
[ROW][C]36[/C][C]0.046103[/C][C]0.3885[/C][C]0.349414[/C][/ROW]
[ROW][C]37[/C][C]-0.033781[/C][C]-0.2846[/C][C]0.388373[/C][/ROW]
[ROW][C]38[/C][C]0.000205[/C][C]0.0017[/C][C]0.499313[/C][/ROW]
[ROW][C]39[/C][C]-0.067177[/C][C]-0.566[/C][C]0.286574[/C][/ROW]
[ROW][C]40[/C][C]-0.059702[/C][C]-0.5031[/C][C]0.30824[/C][/ROW]
[ROW][C]41[/C][C]-0.091112[/C][C]-0.7677[/C][C]0.222598[/C][/ROW]
[ROW][C]42[/C][C]0.083927[/C][C]0.7072[/C][C]0.240885[/C][/ROW]
[ROW][C]43[/C][C]-0.007025[/C][C]-0.0592[/C][C]0.476481[/C][/ROW]
[ROW][C]44[/C][C]-0.025355[/C][C]-0.2136[/C][C]0.415719[/C][/ROW]
[ROW][C]45[/C][C]-0.064292[/C][C]-0.5417[/C][C]0.29485[/C][/ROW]
[ROW][C]46[/C][C]-0.029577[/C][C]-0.2492[/C][C]0.401955[/C][/ROW]
[ROW][C]47[/C][C]-0.015861[/C][C]-0.1336[/C][C]0.44703[/C][/ROW]
[ROW][C]48[/C][C]-0.054248[/C][C]-0.4571[/C][C]0.324496[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39698&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39698&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
1-0.408361-3.44090.000488
2-0.489743-4.12664.9e-05
30.0288760.24330.404232
4-0.208554-1.75730.041588
5-0.418581-3.5270.000371
60.0478470.40320.344017
70.0499960.42130.337413
8-0.179318-1.5110.067619
9-0.140908-1.18730.11953
10-0.240669-2.02790.023161
11-0.615197-5.18371e-06
120.1531171.29020.100585
130.074820.63040.265214
140.0922480.77730.219784
150.0192120.16190.435929
16-0.018571-0.15650.438047
170.0195720.16490.434741
18-0.148535-1.25160.107416
19-0.096033-0.80920.210556
20-0.102719-0.86550.194833
210.0192790.16250.435706
22-0.072926-0.61450.270431
23-0.02178-0.18350.427456
24-0.031426-0.26480.395965
250.001010.00850.496618
26-0.016375-0.1380.445324
27-0.058948-0.49670.310465
280.0106770.090.464285
290.0927620.78160.218517
30-0.024235-0.20420.419387
31-0.105062-0.88530.1895
320.0438320.36930.356489
33-0.073823-0.6220.267953
340.0499930.42120.337425
350.0417450.35170.363034
360.0461030.38850.349414
37-0.033781-0.28460.388373
380.0002050.00170.499313
39-0.067177-0.5660.286574
40-0.059702-0.50310.30824
41-0.091112-0.76770.222598
420.0839270.70720.240885
43-0.007025-0.05920.476481
44-0.025355-0.21360.415719
45-0.064292-0.54170.29485
46-0.029577-0.24920.401955
47-0.015861-0.13360.44703
48-0.054248-0.45710.324496



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
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 (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='lags',ylab='ACF')
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')