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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, 13 Dec 2007 03:51:24 -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/2007/Dec/13/t1197542244aqzgn5hthzj2ezn.htm/, Retrieved Sun, 05 May 2024 20:04:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3423, Retrieved Sun, 05 May 2024 20:04:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsfredje
Estimated Impact195
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF met different...] [2007-12-13 10:51:24] [c40c597932a04e0e43159741c7e63e4c] [Current]
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Dataseries X:
12398.4
13882.3
15861.5
13286.1
15634.9
14211
13646.8
12224.6
15916.4
16535.9
15796
14418.6
15044.5
14944.2
16754.8
14254
15454.9
15644.8
14568.3
12520.2
14803
15873.2
14755.3
12875.1
14291.1
14205.3
15859.4
15258.9
15498.6
14106.5
15023.6
15761.3
16943
15070.3
13659.6
14768.9
14725.1
15998.1
15370.6
14956.9
15469.7
15101.8
16283.6
16726.5
14968.9
14861
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872
17420.4
16704.4
15991.2
16583.6
17838.7
17209.4




Summary of compuational 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 compuational 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=3423&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3423&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3423&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 compuational 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
017.07110
10.2433331.72060.045752
2-0.073157-0.51730.696387
30.0722090.51060.30594
40.0788160.55730.289899
50.2035051.4390.078191
60.116170.82140.207647
7-0.144265-1.02010.843707
8-0.090319-0.63870.737018
9-0.074699-0.52820.700153
100.0080120.05670.477524
11-0.026037-0.18410.572663
12-0.245406-1.73530.955575
13-0.104313-0.73760.767898
14-0.025744-0.1820.571854
150.02720.19230.424131
160.078130.55250.291546
17-0.035669-0.25220.599046
18-0.027572-0.1950.576895
190.1245760.88090.191297
200.1622891.14760.128307
21-0.02538-0.17950.570849
22-0.149401-1.05640.852074
230.0052560.03720.48525
240.1295150.91580.182082
25-0.023815-0.16840.566525
26-0.096384-0.68150.750663
27-0.086193-0.60950.727515
28-0.117875-0.83350.795737
29-0.058547-0.4140.659675
30-0.02784-0.19690.577633
31-0.062841-0.44440.670648
32-0.178418-1.26160.893528
33-0.089052-0.62970.734118
34-0.057789-0.40860.657723
35-0.117108-0.82810.79422
36-0.027155-0.1920.575747
37-0.016568-0.11720.546396
38-0.028821-0.20380.580331
390.0674160.47670.317824
400.0012990.00920.496354
41-0.029502-0.20860.5822
420.0430890.30470.380934
430.027480.19430.42336
440.0759190.53680.296883
450.0377940.26720.39519
460.0269010.19020.424955
470.0170170.12030.452354

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.0711 & 0 \tabularnewline
1 & 0.243333 & 1.7206 & 0.045752 \tabularnewline
2 & -0.073157 & -0.5173 & 0.696387 \tabularnewline
3 & 0.072209 & 0.5106 & 0.30594 \tabularnewline
4 & 0.078816 & 0.5573 & 0.289899 \tabularnewline
5 & 0.203505 & 1.439 & 0.078191 \tabularnewline
6 & 0.11617 & 0.8214 & 0.207647 \tabularnewline
7 & -0.144265 & -1.0201 & 0.843707 \tabularnewline
8 & -0.090319 & -0.6387 & 0.737018 \tabularnewline
9 & -0.074699 & -0.5282 & 0.700153 \tabularnewline
10 & 0.008012 & 0.0567 & 0.477524 \tabularnewline
11 & -0.026037 & -0.1841 & 0.572663 \tabularnewline
12 & -0.245406 & -1.7353 & 0.955575 \tabularnewline
13 & -0.104313 & -0.7376 & 0.767898 \tabularnewline
14 & -0.025744 & -0.182 & 0.571854 \tabularnewline
15 & 0.0272 & 0.1923 & 0.424131 \tabularnewline
16 & 0.07813 & 0.5525 & 0.291546 \tabularnewline
17 & -0.035669 & -0.2522 & 0.599046 \tabularnewline
18 & -0.027572 & -0.195 & 0.576895 \tabularnewline
19 & 0.124576 & 0.8809 & 0.191297 \tabularnewline
20 & 0.162289 & 1.1476 & 0.128307 \tabularnewline
21 & -0.02538 & -0.1795 & 0.570849 \tabularnewline
22 & -0.149401 & -1.0564 & 0.852074 \tabularnewline
23 & 0.005256 & 0.0372 & 0.48525 \tabularnewline
24 & 0.129515 & 0.9158 & 0.182082 \tabularnewline
25 & -0.023815 & -0.1684 & 0.566525 \tabularnewline
26 & -0.096384 & -0.6815 & 0.750663 \tabularnewline
27 & -0.086193 & -0.6095 & 0.727515 \tabularnewline
28 & -0.117875 & -0.8335 & 0.795737 \tabularnewline
29 & -0.058547 & -0.414 & 0.659675 \tabularnewline
30 & -0.02784 & -0.1969 & 0.577633 \tabularnewline
31 & -0.062841 & -0.4444 & 0.670648 \tabularnewline
32 & -0.178418 & -1.2616 & 0.893528 \tabularnewline
33 & -0.089052 & -0.6297 & 0.734118 \tabularnewline
34 & -0.057789 & -0.4086 & 0.657723 \tabularnewline
35 & -0.117108 & -0.8281 & 0.79422 \tabularnewline
36 & -0.027155 & -0.192 & 0.575747 \tabularnewline
37 & -0.016568 & -0.1172 & 0.546396 \tabularnewline
38 & -0.028821 & -0.2038 & 0.580331 \tabularnewline
39 & 0.067416 & 0.4767 & 0.317824 \tabularnewline
40 & 0.001299 & 0.0092 & 0.496354 \tabularnewline
41 & -0.029502 & -0.2086 & 0.5822 \tabularnewline
42 & 0.043089 & 0.3047 & 0.380934 \tabularnewline
43 & 0.02748 & 0.1943 & 0.42336 \tabularnewline
44 & 0.075919 & 0.5368 & 0.296883 \tabularnewline
45 & 0.037794 & 0.2672 & 0.39519 \tabularnewline
46 & 0.026901 & 0.1902 & 0.424955 \tabularnewline
47 & 0.017017 & 0.1203 & 0.452354 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3423&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]0[/C][C]1[/C][C]7.0711[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.243333[/C][C]1.7206[/C][C]0.045752[/C][/ROW]
[ROW][C]2[/C][C]-0.073157[/C][C]-0.5173[/C][C]0.696387[/C][/ROW]
[ROW][C]3[/C][C]0.072209[/C][C]0.5106[/C][C]0.30594[/C][/ROW]
[ROW][C]4[/C][C]0.078816[/C][C]0.5573[/C][C]0.289899[/C][/ROW]
[ROW][C]5[/C][C]0.203505[/C][C]1.439[/C][C]0.078191[/C][/ROW]
[ROW][C]6[/C][C]0.11617[/C][C]0.8214[/C][C]0.207647[/C][/ROW]
[ROW][C]7[/C][C]-0.144265[/C][C]-1.0201[/C][C]0.843707[/C][/ROW]
[ROW][C]8[/C][C]-0.090319[/C][C]-0.6387[/C][C]0.737018[/C][/ROW]
[ROW][C]9[/C][C]-0.074699[/C][C]-0.5282[/C][C]0.700153[/C][/ROW]
[ROW][C]10[/C][C]0.008012[/C][C]0.0567[/C][C]0.477524[/C][/ROW]
[ROW][C]11[/C][C]-0.026037[/C][C]-0.1841[/C][C]0.572663[/C][/ROW]
[ROW][C]12[/C][C]-0.245406[/C][C]-1.7353[/C][C]0.955575[/C][/ROW]
[ROW][C]13[/C][C]-0.104313[/C][C]-0.7376[/C][C]0.767898[/C][/ROW]
[ROW][C]14[/C][C]-0.025744[/C][C]-0.182[/C][C]0.571854[/C][/ROW]
[ROW][C]15[/C][C]0.0272[/C][C]0.1923[/C][C]0.424131[/C][/ROW]
[ROW][C]16[/C][C]0.07813[/C][C]0.5525[/C][C]0.291546[/C][/ROW]
[ROW][C]17[/C][C]-0.035669[/C][C]-0.2522[/C][C]0.599046[/C][/ROW]
[ROW][C]18[/C][C]-0.027572[/C][C]-0.195[/C][C]0.576895[/C][/ROW]
[ROW][C]19[/C][C]0.124576[/C][C]0.8809[/C][C]0.191297[/C][/ROW]
[ROW][C]20[/C][C]0.162289[/C][C]1.1476[/C][C]0.128307[/C][/ROW]
[ROW][C]21[/C][C]-0.02538[/C][C]-0.1795[/C][C]0.570849[/C][/ROW]
[ROW][C]22[/C][C]-0.149401[/C][C]-1.0564[/C][C]0.852074[/C][/ROW]
[ROW][C]23[/C][C]0.005256[/C][C]0.0372[/C][C]0.48525[/C][/ROW]
[ROW][C]24[/C][C]0.129515[/C][C]0.9158[/C][C]0.182082[/C][/ROW]
[ROW][C]25[/C][C]-0.023815[/C][C]-0.1684[/C][C]0.566525[/C][/ROW]
[ROW][C]26[/C][C]-0.096384[/C][C]-0.6815[/C][C]0.750663[/C][/ROW]
[ROW][C]27[/C][C]-0.086193[/C][C]-0.6095[/C][C]0.727515[/C][/ROW]
[ROW][C]28[/C][C]-0.117875[/C][C]-0.8335[/C][C]0.795737[/C][/ROW]
[ROW][C]29[/C][C]-0.058547[/C][C]-0.414[/C][C]0.659675[/C][/ROW]
[ROW][C]30[/C][C]-0.02784[/C][C]-0.1969[/C][C]0.577633[/C][/ROW]
[ROW][C]31[/C][C]-0.062841[/C][C]-0.4444[/C][C]0.670648[/C][/ROW]
[ROW][C]32[/C][C]-0.178418[/C][C]-1.2616[/C][C]0.893528[/C][/ROW]
[ROW][C]33[/C][C]-0.089052[/C][C]-0.6297[/C][C]0.734118[/C][/ROW]
[ROW][C]34[/C][C]-0.057789[/C][C]-0.4086[/C][C]0.657723[/C][/ROW]
[ROW][C]35[/C][C]-0.117108[/C][C]-0.8281[/C][C]0.79422[/C][/ROW]
[ROW][C]36[/C][C]-0.027155[/C][C]-0.192[/C][C]0.575747[/C][/ROW]
[ROW][C]37[/C][C]-0.016568[/C][C]-0.1172[/C][C]0.546396[/C][/ROW]
[ROW][C]38[/C][C]-0.028821[/C][C]-0.2038[/C][C]0.580331[/C][/ROW]
[ROW][C]39[/C][C]0.067416[/C][C]0.4767[/C][C]0.317824[/C][/ROW]
[ROW][C]40[/C][C]0.001299[/C][C]0.0092[/C][C]0.496354[/C][/ROW]
[ROW][C]41[/C][C]-0.029502[/C][C]-0.2086[/C][C]0.5822[/C][/ROW]
[ROW][C]42[/C][C]0.043089[/C][C]0.3047[/C][C]0.380934[/C][/ROW]
[ROW][C]43[/C][C]0.02748[/C][C]0.1943[/C][C]0.42336[/C][/ROW]
[ROW][C]44[/C][C]0.075919[/C][C]0.5368[/C][C]0.296883[/C][/ROW]
[ROW][C]45[/C][C]0.037794[/C][C]0.2672[/C][C]0.39519[/C][/ROW]
[ROW][C]46[/C][C]0.026901[/C][C]0.1902[/C][C]0.424955[/C][/ROW]
[ROW][C]47[/C][C]0.017017[/C][C]0.1203[/C][C]0.452354[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3423&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3423&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
017.07110
10.2433331.72060.045752
2-0.073157-0.51730.696387
30.0722090.51060.30594
40.0788160.55730.289899
50.2035051.4390.078191
60.116170.82140.207647
7-0.144265-1.02010.843707
8-0.090319-0.63870.737018
9-0.074699-0.52820.700153
100.0080120.05670.477524
11-0.026037-0.18410.572663
12-0.245406-1.73530.955575
13-0.104313-0.73760.767898
14-0.025744-0.1820.571854
150.02720.19230.424131
160.078130.55250.291546
17-0.035669-0.25220.599046
18-0.027572-0.1950.576895
190.1245760.88090.191297
200.1622891.14760.128307
21-0.02538-0.17950.570849
22-0.149401-1.05640.852074
230.0052560.03720.48525
240.1295150.91580.182082
25-0.023815-0.16840.566525
26-0.096384-0.68150.750663
27-0.086193-0.60950.727515
28-0.117875-0.83350.795737
29-0.058547-0.4140.659675
30-0.02784-0.19690.577633
31-0.062841-0.44440.670648
32-0.178418-1.26160.893528
33-0.089052-0.62970.734118
34-0.057789-0.40860.657723
35-0.117108-0.82810.79422
36-0.027155-0.1920.575747
37-0.016568-0.11720.546396
38-0.028821-0.20380.580331
390.0674160.47670.317824
400.0012990.00920.496354
41-0.029502-0.20860.5822
420.0430890.30470.380934
430.027480.19430.42336
440.0759190.53680.296883
450.0377940.26720.39519
460.0269010.19020.424955
470.0170170.12030.452354







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2433331.72060.045752
1-0.140699-0.99490.837711
20.1374510.97190.167883
30.0119880.08480.466392
40.2209471.56230.062259
50.0031770.02250.491083
6-0.151894-1.07410.856022
7-0.038827-0.27460.607604
8-0.127478-0.90140.814152
90.0441510.31220.378095
10-0.083289-0.58890.720723
11-0.166897-1.18010.878236
120.0524660.3710.356105
13-0.050328-0.35590.638285
140.1101990.77920.21976
150.0477340.33750.368566
160.03120.22060.413144
170.0305970.21640.414797
180.0665560.47060.319979
190.0991750.70130.243191
20-0.189122-1.33730.90641
21-0.121692-0.86050.803188
220.0253440.17920.429249
230.0307740.21760.414312
24-0.097046-0.68620.752127
25-0.052831-0.37360.644848
260.0566020.40020.345345
27-0.068417-0.48380.684672
28-0.050439-0.35670.638574
29-0.014427-0.1020.540424
300.034450.24360.404269
31-0.128623-0.90950.816276
32-0.023548-0.16650.565785
33-0.129746-0.91740.818342
34-0.139714-0.98790.836027
350.0315650.22320.412145
36-0.015241-0.10780.542695
370.0473020.33450.369711
380.029010.20510.419152
39-0.035032-0.24770.597316
400.0327830.23180.408815
410.0005220.00370.498535
42-0.055159-0.390.650916
43-0.03238-0.2290.590085
440.0475480.33620.369057
450.037380.26430.396312
46-0.130652-0.92380.819998
470.0161980.11450.454634

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.243333 & 1.7206 & 0.045752 \tabularnewline
1 & -0.140699 & -0.9949 & 0.837711 \tabularnewline
2 & 0.137451 & 0.9719 & 0.167883 \tabularnewline
3 & 0.011988 & 0.0848 & 0.466392 \tabularnewline
4 & 0.220947 & 1.5623 & 0.062259 \tabularnewline
5 & 0.003177 & 0.0225 & 0.491083 \tabularnewline
6 & -0.151894 & -1.0741 & 0.856022 \tabularnewline
7 & -0.038827 & -0.2746 & 0.607604 \tabularnewline
8 & -0.127478 & -0.9014 & 0.814152 \tabularnewline
9 & 0.044151 & 0.3122 & 0.378095 \tabularnewline
10 & -0.083289 & -0.5889 & 0.720723 \tabularnewline
11 & -0.166897 & -1.1801 & 0.878236 \tabularnewline
12 & 0.052466 & 0.371 & 0.356105 \tabularnewline
13 & -0.050328 & -0.3559 & 0.638285 \tabularnewline
14 & 0.110199 & 0.7792 & 0.21976 \tabularnewline
15 & 0.047734 & 0.3375 & 0.368566 \tabularnewline
16 & 0.0312 & 0.2206 & 0.413144 \tabularnewline
17 & 0.030597 & 0.2164 & 0.414797 \tabularnewline
18 & 0.066556 & 0.4706 & 0.319979 \tabularnewline
19 & 0.099175 & 0.7013 & 0.243191 \tabularnewline
20 & -0.189122 & -1.3373 & 0.90641 \tabularnewline
21 & -0.121692 & -0.8605 & 0.803188 \tabularnewline
22 & 0.025344 & 0.1792 & 0.429249 \tabularnewline
23 & 0.030774 & 0.2176 & 0.414312 \tabularnewline
24 & -0.097046 & -0.6862 & 0.752127 \tabularnewline
25 & -0.052831 & -0.3736 & 0.644848 \tabularnewline
26 & 0.056602 & 0.4002 & 0.345345 \tabularnewline
27 & -0.068417 & -0.4838 & 0.684672 \tabularnewline
28 & -0.050439 & -0.3567 & 0.638574 \tabularnewline
29 & -0.014427 & -0.102 & 0.540424 \tabularnewline
30 & 0.03445 & 0.2436 & 0.404269 \tabularnewline
31 & -0.128623 & -0.9095 & 0.816276 \tabularnewline
32 & -0.023548 & -0.1665 & 0.565785 \tabularnewline
33 & -0.129746 & -0.9174 & 0.818342 \tabularnewline
34 & -0.139714 & -0.9879 & 0.836027 \tabularnewline
35 & 0.031565 & 0.2232 & 0.412145 \tabularnewline
36 & -0.015241 & -0.1078 & 0.542695 \tabularnewline
37 & 0.047302 & 0.3345 & 0.369711 \tabularnewline
38 & 0.02901 & 0.2051 & 0.419152 \tabularnewline
39 & -0.035032 & -0.2477 & 0.597316 \tabularnewline
40 & 0.032783 & 0.2318 & 0.408815 \tabularnewline
41 & 0.000522 & 0.0037 & 0.498535 \tabularnewline
42 & -0.055159 & -0.39 & 0.650916 \tabularnewline
43 & -0.03238 & -0.229 & 0.590085 \tabularnewline
44 & 0.047548 & 0.3362 & 0.369057 \tabularnewline
45 & 0.03738 & 0.2643 & 0.396312 \tabularnewline
46 & -0.130652 & -0.9238 & 0.819998 \tabularnewline
47 & 0.016198 & 0.1145 & 0.454634 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3423&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]0[/C][C]0.243333[/C][C]1.7206[/C][C]0.045752[/C][/ROW]
[ROW][C]1[/C][C]-0.140699[/C][C]-0.9949[/C][C]0.837711[/C][/ROW]
[ROW][C]2[/C][C]0.137451[/C][C]0.9719[/C][C]0.167883[/C][/ROW]
[ROW][C]3[/C][C]0.011988[/C][C]0.0848[/C][C]0.466392[/C][/ROW]
[ROW][C]4[/C][C]0.220947[/C][C]1.5623[/C][C]0.062259[/C][/ROW]
[ROW][C]5[/C][C]0.003177[/C][C]0.0225[/C][C]0.491083[/C][/ROW]
[ROW][C]6[/C][C]-0.151894[/C][C]-1.0741[/C][C]0.856022[/C][/ROW]
[ROW][C]7[/C][C]-0.038827[/C][C]-0.2746[/C][C]0.607604[/C][/ROW]
[ROW][C]8[/C][C]-0.127478[/C][C]-0.9014[/C][C]0.814152[/C][/ROW]
[ROW][C]9[/C][C]0.044151[/C][C]0.3122[/C][C]0.378095[/C][/ROW]
[ROW][C]10[/C][C]-0.083289[/C][C]-0.5889[/C][C]0.720723[/C][/ROW]
[ROW][C]11[/C][C]-0.166897[/C][C]-1.1801[/C][C]0.878236[/C][/ROW]
[ROW][C]12[/C][C]0.052466[/C][C]0.371[/C][C]0.356105[/C][/ROW]
[ROW][C]13[/C][C]-0.050328[/C][C]-0.3559[/C][C]0.638285[/C][/ROW]
[ROW][C]14[/C][C]0.110199[/C][C]0.7792[/C][C]0.21976[/C][/ROW]
[ROW][C]15[/C][C]0.047734[/C][C]0.3375[/C][C]0.368566[/C][/ROW]
[ROW][C]16[/C][C]0.0312[/C][C]0.2206[/C][C]0.413144[/C][/ROW]
[ROW][C]17[/C][C]0.030597[/C][C]0.2164[/C][C]0.414797[/C][/ROW]
[ROW][C]18[/C][C]0.066556[/C][C]0.4706[/C][C]0.319979[/C][/ROW]
[ROW][C]19[/C][C]0.099175[/C][C]0.7013[/C][C]0.243191[/C][/ROW]
[ROW][C]20[/C][C]-0.189122[/C][C]-1.3373[/C][C]0.90641[/C][/ROW]
[ROW][C]21[/C][C]-0.121692[/C][C]-0.8605[/C][C]0.803188[/C][/ROW]
[ROW][C]22[/C][C]0.025344[/C][C]0.1792[/C][C]0.429249[/C][/ROW]
[ROW][C]23[/C][C]0.030774[/C][C]0.2176[/C][C]0.414312[/C][/ROW]
[ROW][C]24[/C][C]-0.097046[/C][C]-0.6862[/C][C]0.752127[/C][/ROW]
[ROW][C]25[/C][C]-0.052831[/C][C]-0.3736[/C][C]0.644848[/C][/ROW]
[ROW][C]26[/C][C]0.056602[/C][C]0.4002[/C][C]0.345345[/C][/ROW]
[ROW][C]27[/C][C]-0.068417[/C][C]-0.4838[/C][C]0.684672[/C][/ROW]
[ROW][C]28[/C][C]-0.050439[/C][C]-0.3567[/C][C]0.638574[/C][/ROW]
[ROW][C]29[/C][C]-0.014427[/C][C]-0.102[/C][C]0.540424[/C][/ROW]
[ROW][C]30[/C][C]0.03445[/C][C]0.2436[/C][C]0.404269[/C][/ROW]
[ROW][C]31[/C][C]-0.128623[/C][C]-0.9095[/C][C]0.816276[/C][/ROW]
[ROW][C]32[/C][C]-0.023548[/C][C]-0.1665[/C][C]0.565785[/C][/ROW]
[ROW][C]33[/C][C]-0.129746[/C][C]-0.9174[/C][C]0.818342[/C][/ROW]
[ROW][C]34[/C][C]-0.139714[/C][C]-0.9879[/C][C]0.836027[/C][/ROW]
[ROW][C]35[/C][C]0.031565[/C][C]0.2232[/C][C]0.412145[/C][/ROW]
[ROW][C]36[/C][C]-0.015241[/C][C]-0.1078[/C][C]0.542695[/C][/ROW]
[ROW][C]37[/C][C]0.047302[/C][C]0.3345[/C][C]0.369711[/C][/ROW]
[ROW][C]38[/C][C]0.02901[/C][C]0.2051[/C][C]0.419152[/C][/ROW]
[ROW][C]39[/C][C]-0.035032[/C][C]-0.2477[/C][C]0.597316[/C][/ROW]
[ROW][C]40[/C][C]0.032783[/C][C]0.2318[/C][C]0.408815[/C][/ROW]
[ROW][C]41[/C][C]0.000522[/C][C]0.0037[/C][C]0.498535[/C][/ROW]
[ROW][C]42[/C][C]-0.055159[/C][C]-0.39[/C][C]0.650916[/C][/ROW]
[ROW][C]43[/C][C]-0.03238[/C][C]-0.229[/C][C]0.590085[/C][/ROW]
[ROW][C]44[/C][C]0.047548[/C][C]0.3362[/C][C]0.369057[/C][/ROW]
[ROW][C]45[/C][C]0.03738[/C][C]0.2643[/C][C]0.396312[/C][/ROW]
[ROW][C]46[/C][C]-0.130652[/C][C]-0.9238[/C][C]0.819998[/C][/ROW]
[ROW][C]47[/C][C]0.016198[/C][C]0.1145[/C][C]0.454634[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3423&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3423&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
00.2433331.72060.045752
1-0.140699-0.99490.837711
20.1374510.97190.167883
30.0119880.08480.466392
40.2209471.56230.062259
50.0031770.02250.491083
6-0.151894-1.07410.856022
7-0.038827-0.27460.607604
8-0.127478-0.90140.814152
90.0441510.31220.378095
10-0.083289-0.58890.720723
11-0.166897-1.18010.878236
120.0524660.3710.356105
13-0.050328-0.35590.638285
140.1101990.77920.21976
150.0477340.33750.368566
160.03120.22060.413144
170.0305970.21640.414797
180.0665560.47060.319979
190.0991750.70130.243191
20-0.189122-1.33730.90641
21-0.121692-0.86050.803188
220.0253440.17920.429249
230.0307740.21760.414312
24-0.097046-0.68620.752127
25-0.052831-0.37360.644848
260.0566020.40020.345345
27-0.068417-0.48380.684672
28-0.050439-0.35670.638574
29-0.014427-0.1020.540424
300.034450.24360.404269
31-0.128623-0.90950.816276
32-0.023548-0.16650.565785
33-0.129746-0.91740.818342
34-0.139714-0.98790.836027
350.0315650.22320.412145
36-0.015241-0.10780.542695
370.0473020.33450.369711
380.029010.20510.419152
39-0.035032-0.24770.597316
400.0327830.23180.408815
410.0005220.00370.498535
42-0.055159-0.390.650916
43-0.03238-0.2290.590085
440.0475480.33620.369057
450.037380.26430.396312
46-0.130652-0.92380.819998
470.0161980.11450.454634



Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')