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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 10 Dec 2008 15:41:58 -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/2008/Dec/10/t1228948963ou13pmjve9hqwiv.htm/, Retrieved Sun, 19 May 2024 07:17:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32144, Retrieved Sun, 19 May 2024 07:17:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Corrolation citro...] [2008-12-10 22:41:58] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.82
1.76
1.79
1.74
1.78
1.80
1.80
1.80
1.79
1.82
1.82
1.83
1.77
1.77
1.77
1.77
1.74
1.78
1.78
1.78
1.78
1.81
1.84
1.80
1.78
1.76
1.74
1.72
1.73
1.77
1.81
1.83
1.87
1.89
1.82
1.79
1.79
1.82
1.82
1.81
1.81
1.78
1.80
1.79
1.83
1.82
1.80
1.82
1.84
1.82
1.81
1.79
1.87
1.89
1.92
1.9
1.91
1.95
2.04
1.99
1.94
1.93
1.89
1.87
1.89
1.9
1.93
1.94
1.88
1.89
1.92
1.91
1.89
1.89
1.98
2.02
2.02
1.99
1.97
1.96
1.95
1.98
2.00
2.00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32144&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32144&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32144&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8990598.240
20.7827317.17390
30.6914586.33730
40.6436295.8990
50.5977095.47810
60.5578695.1131e-06
70.5286614.84533e-06
80.5024984.60557e-06
90.4691194.29962.3e-05
100.4361193.99716.9e-05
110.4349823.98677.1e-05
120.4213223.86150.00011
130.3926593.59880.00027
140.3660863.35520.000596
150.3645593.34120.000623
160.361893.31680.000673
170.3326583.04890.001536
180.3005862.75490.003598
190.2823612.58790.005688
200.2846322.60870.005378
210.2971472.72340.003929
220.3066362.81040.003078
230.2755272.52520.00672
240.2296072.10440.019167
250.1762911.61570.054951
260.1032450.94630.173366
270.0417510.38270.351472
28-0.025261-0.23150.408737
29-0.093411-0.85610.197181
30-0.153767-1.40930.08122
31-0.187359-1.71720.044816
32-0.202732-1.85810.033331
33-0.17693-1.62160.054319
34-0.163835-1.50160.068479
35-0.163469-1.49820.068913
36-0.174113-1.59580.057148
37-0.179447-1.64470.051889
38-0.199393-1.82750.03559
39-0.231102-2.11810.018562
40-0.258825-2.37220.009985
41-0.254102-2.32890.011134
42-0.241793-2.21610.014695
43-0.220184-2.0180.02339
44-0.222295-2.03740.022381
45-0.235594-2.15930.016841
46-0.262747-2.40810.009112
47-0.277569-2.5440.006396
48-0.27683-2.53720.006511

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.899059 & 8.24 & 0 \tabularnewline
2 & 0.782731 & 7.1739 & 0 \tabularnewline
3 & 0.691458 & 6.3373 & 0 \tabularnewline
4 & 0.643629 & 5.899 & 0 \tabularnewline
5 & 0.597709 & 5.4781 & 0 \tabularnewline
6 & 0.557869 & 5.113 & 1e-06 \tabularnewline
7 & 0.528661 & 4.8453 & 3e-06 \tabularnewline
8 & 0.502498 & 4.6055 & 7e-06 \tabularnewline
9 & 0.469119 & 4.2996 & 2.3e-05 \tabularnewline
10 & 0.436119 & 3.9971 & 6.9e-05 \tabularnewline
11 & 0.434982 & 3.9867 & 7.1e-05 \tabularnewline
12 & 0.421322 & 3.8615 & 0.00011 \tabularnewline
13 & 0.392659 & 3.5988 & 0.00027 \tabularnewline
14 & 0.366086 & 3.3552 & 0.000596 \tabularnewline
15 & 0.364559 & 3.3412 & 0.000623 \tabularnewline
16 & 0.36189 & 3.3168 & 0.000673 \tabularnewline
17 & 0.332658 & 3.0489 & 0.001536 \tabularnewline
18 & 0.300586 & 2.7549 & 0.003598 \tabularnewline
19 & 0.282361 & 2.5879 & 0.005688 \tabularnewline
20 & 0.284632 & 2.6087 & 0.005378 \tabularnewline
21 & 0.297147 & 2.7234 & 0.003929 \tabularnewline
22 & 0.306636 & 2.8104 & 0.003078 \tabularnewline
23 & 0.275527 & 2.5252 & 0.00672 \tabularnewline
24 & 0.229607 & 2.1044 & 0.019167 \tabularnewline
25 & 0.176291 & 1.6157 & 0.054951 \tabularnewline
26 & 0.103245 & 0.9463 & 0.173366 \tabularnewline
27 & 0.041751 & 0.3827 & 0.351472 \tabularnewline
28 & -0.025261 & -0.2315 & 0.408737 \tabularnewline
29 & -0.093411 & -0.8561 & 0.197181 \tabularnewline
30 & -0.153767 & -1.4093 & 0.08122 \tabularnewline
31 & -0.187359 & -1.7172 & 0.044816 \tabularnewline
32 & -0.202732 & -1.8581 & 0.033331 \tabularnewline
33 & -0.17693 & -1.6216 & 0.054319 \tabularnewline
34 & -0.163835 & -1.5016 & 0.068479 \tabularnewline
35 & -0.163469 & -1.4982 & 0.068913 \tabularnewline
36 & -0.174113 & -1.5958 & 0.057148 \tabularnewline
37 & -0.179447 & -1.6447 & 0.051889 \tabularnewline
38 & -0.199393 & -1.8275 & 0.03559 \tabularnewline
39 & -0.231102 & -2.1181 & 0.018562 \tabularnewline
40 & -0.258825 & -2.3722 & 0.009985 \tabularnewline
41 & -0.254102 & -2.3289 & 0.011134 \tabularnewline
42 & -0.241793 & -2.2161 & 0.014695 \tabularnewline
43 & -0.220184 & -2.018 & 0.02339 \tabularnewline
44 & -0.222295 & -2.0374 & 0.022381 \tabularnewline
45 & -0.235594 & -2.1593 & 0.016841 \tabularnewline
46 & -0.262747 & -2.4081 & 0.009112 \tabularnewline
47 & -0.277569 & -2.544 & 0.006396 \tabularnewline
48 & -0.27683 & -2.5372 & 0.006511 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32144&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]0.899059[/C][C]8.24[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.782731[/C][C]7.1739[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.691458[/C][C]6.3373[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.643629[/C][C]5.899[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.597709[/C][C]5.4781[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.557869[/C][C]5.113[/C][C]1e-06[/C][/ROW]
[ROW][C]7[/C][C]0.528661[/C][C]4.8453[/C][C]3e-06[/C][/ROW]
[ROW][C]8[/C][C]0.502498[/C][C]4.6055[/C][C]7e-06[/C][/ROW]
[ROW][C]9[/C][C]0.469119[/C][C]4.2996[/C][C]2.3e-05[/C][/ROW]
[ROW][C]10[/C][C]0.436119[/C][C]3.9971[/C][C]6.9e-05[/C][/ROW]
[ROW][C]11[/C][C]0.434982[/C][C]3.9867[/C][C]7.1e-05[/C][/ROW]
[ROW][C]12[/C][C]0.421322[/C][C]3.8615[/C][C]0.00011[/C][/ROW]
[ROW][C]13[/C][C]0.392659[/C][C]3.5988[/C][C]0.00027[/C][/ROW]
[ROW][C]14[/C][C]0.366086[/C][C]3.3552[/C][C]0.000596[/C][/ROW]
[ROW][C]15[/C][C]0.364559[/C][C]3.3412[/C][C]0.000623[/C][/ROW]
[ROW][C]16[/C][C]0.36189[/C][C]3.3168[/C][C]0.000673[/C][/ROW]
[ROW][C]17[/C][C]0.332658[/C][C]3.0489[/C][C]0.001536[/C][/ROW]
[ROW][C]18[/C][C]0.300586[/C][C]2.7549[/C][C]0.003598[/C][/ROW]
[ROW][C]19[/C][C]0.282361[/C][C]2.5879[/C][C]0.005688[/C][/ROW]
[ROW][C]20[/C][C]0.284632[/C][C]2.6087[/C][C]0.005378[/C][/ROW]
[ROW][C]21[/C][C]0.297147[/C][C]2.7234[/C][C]0.003929[/C][/ROW]
[ROW][C]22[/C][C]0.306636[/C][C]2.8104[/C][C]0.003078[/C][/ROW]
[ROW][C]23[/C][C]0.275527[/C][C]2.5252[/C][C]0.00672[/C][/ROW]
[ROW][C]24[/C][C]0.229607[/C][C]2.1044[/C][C]0.019167[/C][/ROW]
[ROW][C]25[/C][C]0.176291[/C][C]1.6157[/C][C]0.054951[/C][/ROW]
[ROW][C]26[/C][C]0.103245[/C][C]0.9463[/C][C]0.173366[/C][/ROW]
[ROW][C]27[/C][C]0.041751[/C][C]0.3827[/C][C]0.351472[/C][/ROW]
[ROW][C]28[/C][C]-0.025261[/C][C]-0.2315[/C][C]0.408737[/C][/ROW]
[ROW][C]29[/C][C]-0.093411[/C][C]-0.8561[/C][C]0.197181[/C][/ROW]
[ROW][C]30[/C][C]-0.153767[/C][C]-1.4093[/C][C]0.08122[/C][/ROW]
[ROW][C]31[/C][C]-0.187359[/C][C]-1.7172[/C][C]0.044816[/C][/ROW]
[ROW][C]32[/C][C]-0.202732[/C][C]-1.8581[/C][C]0.033331[/C][/ROW]
[ROW][C]33[/C][C]-0.17693[/C][C]-1.6216[/C][C]0.054319[/C][/ROW]
[ROW][C]34[/C][C]-0.163835[/C][C]-1.5016[/C][C]0.068479[/C][/ROW]
[ROW][C]35[/C][C]-0.163469[/C][C]-1.4982[/C][C]0.068913[/C][/ROW]
[ROW][C]36[/C][C]-0.174113[/C][C]-1.5958[/C][C]0.057148[/C][/ROW]
[ROW][C]37[/C][C]-0.179447[/C][C]-1.6447[/C][C]0.051889[/C][/ROW]
[ROW][C]38[/C][C]-0.199393[/C][C]-1.8275[/C][C]0.03559[/C][/ROW]
[ROW][C]39[/C][C]-0.231102[/C][C]-2.1181[/C][C]0.018562[/C][/ROW]
[ROW][C]40[/C][C]-0.258825[/C][C]-2.3722[/C][C]0.009985[/C][/ROW]
[ROW][C]41[/C][C]-0.254102[/C][C]-2.3289[/C][C]0.011134[/C][/ROW]
[ROW][C]42[/C][C]-0.241793[/C][C]-2.2161[/C][C]0.014695[/C][/ROW]
[ROW][C]43[/C][C]-0.220184[/C][C]-2.018[/C][C]0.02339[/C][/ROW]
[ROW][C]44[/C][C]-0.222295[/C][C]-2.0374[/C][C]0.022381[/C][/ROW]
[ROW][C]45[/C][C]-0.235594[/C][C]-2.1593[/C][C]0.016841[/C][/ROW]
[ROW][C]46[/C][C]-0.262747[/C][C]-2.4081[/C][C]0.009112[/C][/ROW]
[ROW][C]47[/C][C]-0.277569[/C][C]-2.544[/C][C]0.006396[/C][/ROW]
[ROW][C]48[/C][C]-0.27683[/C][C]-2.5372[/C][C]0.006511[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32144&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32144&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
10.8990598.240
20.7827317.17390
30.6914586.33730
40.6436295.8990
50.5977095.47810
60.5578695.1131e-06
70.5286614.84533e-06
80.5024984.60557e-06
90.4691194.29962.3e-05
100.4361193.99716.9e-05
110.4349823.98677.1e-05
120.4213223.86150.00011
130.3926593.59880.00027
140.3660863.35520.000596
150.3645593.34120.000623
160.361893.31680.000673
170.3326583.04890.001536
180.3005862.75490.003598
190.2823612.58790.005688
200.2846322.60870.005378
210.2971472.72340.003929
220.3066362.81040.003078
230.2755272.52520.00672
240.2296072.10440.019167
250.1762911.61570.054951
260.1032450.94630.173366
270.0417510.38270.351472
28-0.025261-0.23150.408737
29-0.093411-0.85610.197181
30-0.153767-1.40930.08122
31-0.187359-1.71720.044816
32-0.202732-1.85810.033331
33-0.17693-1.62160.054319
34-0.163835-1.50160.068479
35-0.163469-1.49820.068913
36-0.174113-1.59580.057148
37-0.179447-1.64470.051889
38-0.199393-1.82750.03559
39-0.231102-2.11810.018562
40-0.258825-2.37220.009985
41-0.254102-2.32890.011134
42-0.241793-2.21610.014695
43-0.220184-2.0180.02339
44-0.222295-2.03740.022381
45-0.235594-2.15930.016841
46-0.262747-2.40810.009112
47-0.277569-2.5440.006396
48-0.27683-2.53720.006511







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8990598.240
2-0.13342-1.22280.11241
30.0732870.67170.251814
40.1562531.43210.077916
5-0.04209-0.38580.350323
60.0485560.4450.328722
70.0651890.59750.275903
8-0.005152-0.04720.481227
9-0.022934-0.21020.417013
100.0176930.16220.435784
110.155571.42580.078812
12-0.100353-0.91980.180169
13-0.032263-0.29570.384098
140.0636380.58320.280644
150.0734640.67330.251299
16-0.028799-0.26390.396234
17-0.097376-0.89250.187347
180.03090.28320.388858
190.0183910.16860.433274
200.0614830.56350.287297
210.1005990.9220.179583
22-0.017978-0.16480.434761
23-0.210436-1.92870.028574
24-0.018897-0.17320.431457
25-0.03752-0.34390.3659
26-0.256429-2.35020.010554
27-0.032685-0.29960.382624
28-0.122392-1.12170.132584
29-0.148569-1.36170.088474
30-0.048448-0.4440.329079
310.0375410.34410.365828
32-0.008181-0.0750.470204
330.1706791.56430.060753
34-0.002831-0.02590.489682
350.0203070.18610.426401
36-0.041568-0.3810.352091
370.007860.0720.471371
38-0.102964-0.94370.174019
39-0.065322-0.59870.275496
40-0.021095-0.19330.423581
410.1464581.34230.091556
42-0.01288-0.1180.453156
430.1133991.03930.150819
44-0.111472-1.02170.154939
45-0.005487-0.05030.480006
46-0.082819-0.75910.224973
470.0941670.86310.195281
480.0715580.65580.25686

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.899059 & 8.24 & 0 \tabularnewline
2 & -0.13342 & -1.2228 & 0.11241 \tabularnewline
3 & 0.073287 & 0.6717 & 0.251814 \tabularnewline
4 & 0.156253 & 1.4321 & 0.077916 \tabularnewline
5 & -0.04209 & -0.3858 & 0.350323 \tabularnewline
6 & 0.048556 & 0.445 & 0.328722 \tabularnewline
7 & 0.065189 & 0.5975 & 0.275903 \tabularnewline
8 & -0.005152 & -0.0472 & 0.481227 \tabularnewline
9 & -0.022934 & -0.2102 & 0.417013 \tabularnewline
10 & 0.017693 & 0.1622 & 0.435784 \tabularnewline
11 & 0.15557 & 1.4258 & 0.078812 \tabularnewline
12 & -0.100353 & -0.9198 & 0.180169 \tabularnewline
13 & -0.032263 & -0.2957 & 0.384098 \tabularnewline
14 & 0.063638 & 0.5832 & 0.280644 \tabularnewline
15 & 0.073464 & 0.6733 & 0.251299 \tabularnewline
16 & -0.028799 & -0.2639 & 0.396234 \tabularnewline
17 & -0.097376 & -0.8925 & 0.187347 \tabularnewline
18 & 0.0309 & 0.2832 & 0.388858 \tabularnewline
19 & 0.018391 & 0.1686 & 0.433274 \tabularnewline
20 & 0.061483 & 0.5635 & 0.287297 \tabularnewline
21 & 0.100599 & 0.922 & 0.179583 \tabularnewline
22 & -0.017978 & -0.1648 & 0.434761 \tabularnewline
23 & -0.210436 & -1.9287 & 0.028574 \tabularnewline
24 & -0.018897 & -0.1732 & 0.431457 \tabularnewline
25 & -0.03752 & -0.3439 & 0.3659 \tabularnewline
26 & -0.256429 & -2.3502 & 0.010554 \tabularnewline
27 & -0.032685 & -0.2996 & 0.382624 \tabularnewline
28 & -0.122392 & -1.1217 & 0.132584 \tabularnewline
29 & -0.148569 & -1.3617 & 0.088474 \tabularnewline
30 & -0.048448 & -0.444 & 0.329079 \tabularnewline
31 & 0.037541 & 0.3441 & 0.365828 \tabularnewline
32 & -0.008181 & -0.075 & 0.470204 \tabularnewline
33 & 0.170679 & 1.5643 & 0.060753 \tabularnewline
34 & -0.002831 & -0.0259 & 0.489682 \tabularnewline
35 & 0.020307 & 0.1861 & 0.426401 \tabularnewline
36 & -0.041568 & -0.381 & 0.352091 \tabularnewline
37 & 0.00786 & 0.072 & 0.471371 \tabularnewline
38 & -0.102964 & -0.9437 & 0.174019 \tabularnewline
39 & -0.065322 & -0.5987 & 0.275496 \tabularnewline
40 & -0.021095 & -0.1933 & 0.423581 \tabularnewline
41 & 0.146458 & 1.3423 & 0.091556 \tabularnewline
42 & -0.01288 & -0.118 & 0.453156 \tabularnewline
43 & 0.113399 & 1.0393 & 0.150819 \tabularnewline
44 & -0.111472 & -1.0217 & 0.154939 \tabularnewline
45 & -0.005487 & -0.0503 & 0.480006 \tabularnewline
46 & -0.082819 & -0.7591 & 0.224973 \tabularnewline
47 & 0.094167 & 0.8631 & 0.195281 \tabularnewline
48 & 0.071558 & 0.6558 & 0.25686 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32144&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]0.899059[/C][C]8.24[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.13342[/C][C]-1.2228[/C][C]0.11241[/C][/ROW]
[ROW][C]3[/C][C]0.073287[/C][C]0.6717[/C][C]0.251814[/C][/ROW]
[ROW][C]4[/C][C]0.156253[/C][C]1.4321[/C][C]0.077916[/C][/ROW]
[ROW][C]5[/C][C]-0.04209[/C][C]-0.3858[/C][C]0.350323[/C][/ROW]
[ROW][C]6[/C][C]0.048556[/C][C]0.445[/C][C]0.328722[/C][/ROW]
[ROW][C]7[/C][C]0.065189[/C][C]0.5975[/C][C]0.275903[/C][/ROW]
[ROW][C]8[/C][C]-0.005152[/C][C]-0.0472[/C][C]0.481227[/C][/ROW]
[ROW][C]9[/C][C]-0.022934[/C][C]-0.2102[/C][C]0.417013[/C][/ROW]
[ROW][C]10[/C][C]0.017693[/C][C]0.1622[/C][C]0.435784[/C][/ROW]
[ROW][C]11[/C][C]0.15557[/C][C]1.4258[/C][C]0.078812[/C][/ROW]
[ROW][C]12[/C][C]-0.100353[/C][C]-0.9198[/C][C]0.180169[/C][/ROW]
[ROW][C]13[/C][C]-0.032263[/C][C]-0.2957[/C][C]0.384098[/C][/ROW]
[ROW][C]14[/C][C]0.063638[/C][C]0.5832[/C][C]0.280644[/C][/ROW]
[ROW][C]15[/C][C]0.073464[/C][C]0.6733[/C][C]0.251299[/C][/ROW]
[ROW][C]16[/C][C]-0.028799[/C][C]-0.2639[/C][C]0.396234[/C][/ROW]
[ROW][C]17[/C][C]-0.097376[/C][C]-0.8925[/C][C]0.187347[/C][/ROW]
[ROW][C]18[/C][C]0.0309[/C][C]0.2832[/C][C]0.388858[/C][/ROW]
[ROW][C]19[/C][C]0.018391[/C][C]0.1686[/C][C]0.433274[/C][/ROW]
[ROW][C]20[/C][C]0.061483[/C][C]0.5635[/C][C]0.287297[/C][/ROW]
[ROW][C]21[/C][C]0.100599[/C][C]0.922[/C][C]0.179583[/C][/ROW]
[ROW][C]22[/C][C]-0.017978[/C][C]-0.1648[/C][C]0.434761[/C][/ROW]
[ROW][C]23[/C][C]-0.210436[/C][C]-1.9287[/C][C]0.028574[/C][/ROW]
[ROW][C]24[/C][C]-0.018897[/C][C]-0.1732[/C][C]0.431457[/C][/ROW]
[ROW][C]25[/C][C]-0.03752[/C][C]-0.3439[/C][C]0.3659[/C][/ROW]
[ROW][C]26[/C][C]-0.256429[/C][C]-2.3502[/C][C]0.010554[/C][/ROW]
[ROW][C]27[/C][C]-0.032685[/C][C]-0.2996[/C][C]0.382624[/C][/ROW]
[ROW][C]28[/C][C]-0.122392[/C][C]-1.1217[/C][C]0.132584[/C][/ROW]
[ROW][C]29[/C][C]-0.148569[/C][C]-1.3617[/C][C]0.088474[/C][/ROW]
[ROW][C]30[/C][C]-0.048448[/C][C]-0.444[/C][C]0.329079[/C][/ROW]
[ROW][C]31[/C][C]0.037541[/C][C]0.3441[/C][C]0.365828[/C][/ROW]
[ROW][C]32[/C][C]-0.008181[/C][C]-0.075[/C][C]0.470204[/C][/ROW]
[ROW][C]33[/C][C]0.170679[/C][C]1.5643[/C][C]0.060753[/C][/ROW]
[ROW][C]34[/C][C]-0.002831[/C][C]-0.0259[/C][C]0.489682[/C][/ROW]
[ROW][C]35[/C][C]0.020307[/C][C]0.1861[/C][C]0.426401[/C][/ROW]
[ROW][C]36[/C][C]-0.041568[/C][C]-0.381[/C][C]0.352091[/C][/ROW]
[ROW][C]37[/C][C]0.00786[/C][C]0.072[/C][C]0.471371[/C][/ROW]
[ROW][C]38[/C][C]-0.102964[/C][C]-0.9437[/C][C]0.174019[/C][/ROW]
[ROW][C]39[/C][C]-0.065322[/C][C]-0.5987[/C][C]0.275496[/C][/ROW]
[ROW][C]40[/C][C]-0.021095[/C][C]-0.1933[/C][C]0.423581[/C][/ROW]
[ROW][C]41[/C][C]0.146458[/C][C]1.3423[/C][C]0.091556[/C][/ROW]
[ROW][C]42[/C][C]-0.01288[/C][C]-0.118[/C][C]0.453156[/C][/ROW]
[ROW][C]43[/C][C]0.113399[/C][C]1.0393[/C][C]0.150819[/C][/ROW]
[ROW][C]44[/C][C]-0.111472[/C][C]-1.0217[/C][C]0.154939[/C][/ROW]
[ROW][C]45[/C][C]-0.005487[/C][C]-0.0503[/C][C]0.480006[/C][/ROW]
[ROW][C]46[/C][C]-0.082819[/C][C]-0.7591[/C][C]0.224973[/C][/ROW]
[ROW][C]47[/C][C]0.094167[/C][C]0.8631[/C][C]0.195281[/C][/ROW]
[ROW][C]48[/C][C]0.071558[/C][C]0.6558[/C][C]0.25686[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32144&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32144&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
10.8990598.240
2-0.13342-1.22280.11241
30.0732870.67170.251814
40.1562531.43210.077916
5-0.04209-0.38580.350323
60.0485560.4450.328722
70.0651890.59750.275903
8-0.005152-0.04720.481227
9-0.022934-0.21020.417013
100.0176930.16220.435784
110.155571.42580.078812
12-0.100353-0.91980.180169
13-0.032263-0.29570.384098
140.0636380.58320.280644
150.0734640.67330.251299
16-0.028799-0.26390.396234
17-0.097376-0.89250.187347
180.03090.28320.388858
190.0183910.16860.433274
200.0614830.56350.287297
210.1005990.9220.179583
22-0.017978-0.16480.434761
23-0.210436-1.92870.028574
24-0.018897-0.17320.431457
25-0.03752-0.34390.3659
26-0.256429-2.35020.010554
27-0.032685-0.29960.382624
28-0.122392-1.12170.132584
29-0.148569-1.36170.088474
30-0.048448-0.4440.329079
310.0375410.34410.365828
32-0.008181-0.0750.470204
330.1706791.56430.060753
34-0.002831-0.02590.489682
350.0203070.18610.426401
36-0.041568-0.3810.352091
370.007860.0720.471371
38-0.102964-0.94370.174019
39-0.065322-0.59870.275496
40-0.021095-0.19330.423581
410.1464581.34230.091556
42-0.01288-0.1180.453156
430.1133991.03930.150819
44-0.111472-1.02170.154939
45-0.005487-0.05030.480006
46-0.082819-0.75910.224973
470.0941670.86310.195281
480.0715580.65580.25686



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