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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 27 May 2009 10:34:59 -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/27/t1243442148sa65aibnoohsvua.htm/, Retrieved Thu, 02 May 2024 14:53:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40455, Retrieved Thu, 02 May 2024 14:53:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Opdracht 6 Bis Oe...] [2009-05-27 15:39:24] [74be16979710d4c4e7c6647856088456]
-    D  [(Partial) Autocorrelation Function] [opdracht 6Bis Oef...] [2009-05-27 16:22:20] [74be16979710d4c4e7c6647856088456]
-   P       [(Partial) Autocorrelation Function] [Opdracht 6Bis Oef...] [2009-05-27 16:34:59] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P         [(Partial) Autocorrelation Function] [Opdracht 6Bis Oef...] [2009-06-07 17:43:57] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
3779.7
3795.5
3813.1
3826.9
3833.3
3844.8
3851.3
3851.8
3854.1
3858.4
3861.6
3856.3
3855.8
3860.4
3855.1
3839.5
3833
3833.6
3826.8
3818.2
3811.4
3806.8
3810.3
3818.2
3858.9
3867.8
3872.3
3873.3
3876.7
3882.6
3883.5
3882.2
3888.1
3893.7
3901.9
3914.3
3930.3
3948.3
3971.5
3990.1
3993
3998
4015.8
4041.2
4060.7
4076.7
4103
4125.3
4139.7
4146.7
4158
4155.1
4144.8
4148.2
4142.5
4142.1
4145.4
4146.3
4143.5
4149.2
4158.9
4166.1
4179.1
4194.4
4211.7
4226.3
4235.8
4243.6
4258.7
4278.2
4298
4315.1
4334.3
4356
4374
4395.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40455&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40455&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40455&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6761675.85580
20.4631184.01077.1e-05
30.382583.31320.000711
40.3196772.76850.003546
50.1871381.62070.054643
60.0853750.73940.230996
70.0793080.68680.247155
80.0098370.08520.46617
9-0.060767-0.52630.300131
10-0.040122-0.34750.364608
11-0.015304-0.13250.447457
12-0.077974-0.67530.250788
13-0.153075-1.32570.094486
14-0.127794-1.10670.135973
15-0.170133-1.47340.072414
16-0.275354-2.38460.009812
17-0.282483-2.44640.008387
18-0.175976-1.5240.065858
19-0.095849-0.83010.204564
20-0.09977-0.8640.195162
21-0.035571-0.30810.379446
220.045380.3930.347718
230.0039290.0340.486472
24-0.021723-0.18810.425642
250.0069610.06030.476046
260.0320690.27770.390994
27-0.068477-0.5930.277474
28-0.151619-1.31310.096583
29-0.076633-0.66370.254472
30-0.082383-0.71350.238887
31-0.054227-0.46960.319995
32-0.021112-0.18280.427709
330.0348150.30150.381932
340.0394140.34130.366902
350.0723540.62660.266412
360.1576661.36540.0881
370.1621891.40460.082134
380.1251131.08350.141026
390.1076290.93210.177139
400.1390931.20460.116077
410.1135850.98370.16422
420.0558520.48370.315006
430.0415850.36010.35988
440.0492490.42650.33548
450.0595510.51570.30378
460.0366990.31780.375751
47-0.002465-0.02130.491512
48-0.038645-0.33470.369402

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.676167 & 5.8558 & 0 \tabularnewline
2 & 0.463118 & 4.0107 & 7.1e-05 \tabularnewline
3 & 0.38258 & 3.3132 & 0.000711 \tabularnewline
4 & 0.319677 & 2.7685 & 0.003546 \tabularnewline
5 & 0.187138 & 1.6207 & 0.054643 \tabularnewline
6 & 0.085375 & 0.7394 & 0.230996 \tabularnewline
7 & 0.079308 & 0.6868 & 0.247155 \tabularnewline
8 & 0.009837 & 0.0852 & 0.46617 \tabularnewline
9 & -0.060767 & -0.5263 & 0.300131 \tabularnewline
10 & -0.040122 & -0.3475 & 0.364608 \tabularnewline
11 & -0.015304 & -0.1325 & 0.447457 \tabularnewline
12 & -0.077974 & -0.6753 & 0.250788 \tabularnewline
13 & -0.153075 & -1.3257 & 0.094486 \tabularnewline
14 & -0.127794 & -1.1067 & 0.135973 \tabularnewline
15 & -0.170133 & -1.4734 & 0.072414 \tabularnewline
16 & -0.275354 & -2.3846 & 0.009812 \tabularnewline
17 & -0.282483 & -2.4464 & 0.008387 \tabularnewline
18 & -0.175976 & -1.524 & 0.065858 \tabularnewline
19 & -0.095849 & -0.8301 & 0.204564 \tabularnewline
20 & -0.09977 & -0.864 & 0.195162 \tabularnewline
21 & -0.035571 & -0.3081 & 0.379446 \tabularnewline
22 & 0.04538 & 0.393 & 0.347718 \tabularnewline
23 & 0.003929 & 0.034 & 0.486472 \tabularnewline
24 & -0.021723 & -0.1881 & 0.425642 \tabularnewline
25 & 0.006961 & 0.0603 & 0.476046 \tabularnewline
26 & 0.032069 & 0.2777 & 0.390994 \tabularnewline
27 & -0.068477 & -0.593 & 0.277474 \tabularnewline
28 & -0.151619 & -1.3131 & 0.096583 \tabularnewline
29 & -0.076633 & -0.6637 & 0.254472 \tabularnewline
30 & -0.082383 & -0.7135 & 0.238887 \tabularnewline
31 & -0.054227 & -0.4696 & 0.319995 \tabularnewline
32 & -0.021112 & -0.1828 & 0.427709 \tabularnewline
33 & 0.034815 & 0.3015 & 0.381932 \tabularnewline
34 & 0.039414 & 0.3413 & 0.366902 \tabularnewline
35 & 0.072354 & 0.6266 & 0.266412 \tabularnewline
36 & 0.157666 & 1.3654 & 0.0881 \tabularnewline
37 & 0.162189 & 1.4046 & 0.082134 \tabularnewline
38 & 0.125113 & 1.0835 & 0.141026 \tabularnewline
39 & 0.107629 & 0.9321 & 0.177139 \tabularnewline
40 & 0.139093 & 1.2046 & 0.116077 \tabularnewline
41 & 0.113585 & 0.9837 & 0.16422 \tabularnewline
42 & 0.055852 & 0.4837 & 0.315006 \tabularnewline
43 & 0.041585 & 0.3601 & 0.35988 \tabularnewline
44 & 0.049249 & 0.4265 & 0.33548 \tabularnewline
45 & 0.059551 & 0.5157 & 0.30378 \tabularnewline
46 & 0.036699 & 0.3178 & 0.375751 \tabularnewline
47 & -0.002465 & -0.0213 & 0.491512 \tabularnewline
48 & -0.038645 & -0.3347 & 0.369402 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40455&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]0.676167[/C][C]5.8558[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.463118[/C][C]4.0107[/C][C]7.1e-05[/C][/ROW]
[ROW][C]3[/C][C]0.38258[/C][C]3.3132[/C][C]0.000711[/C][/ROW]
[ROW][C]4[/C][C]0.319677[/C][C]2.7685[/C][C]0.003546[/C][/ROW]
[ROW][C]5[/C][C]0.187138[/C][C]1.6207[/C][C]0.054643[/C][/ROW]
[ROW][C]6[/C][C]0.085375[/C][C]0.7394[/C][C]0.230996[/C][/ROW]
[ROW][C]7[/C][C]0.079308[/C][C]0.6868[/C][C]0.247155[/C][/ROW]
[ROW][C]8[/C][C]0.009837[/C][C]0.0852[/C][C]0.46617[/C][/ROW]
[ROW][C]9[/C][C]-0.060767[/C][C]-0.5263[/C][C]0.300131[/C][/ROW]
[ROW][C]10[/C][C]-0.040122[/C][C]-0.3475[/C][C]0.364608[/C][/ROW]
[ROW][C]11[/C][C]-0.015304[/C][C]-0.1325[/C][C]0.447457[/C][/ROW]
[ROW][C]12[/C][C]-0.077974[/C][C]-0.6753[/C][C]0.250788[/C][/ROW]
[ROW][C]13[/C][C]-0.153075[/C][C]-1.3257[/C][C]0.094486[/C][/ROW]
[ROW][C]14[/C][C]-0.127794[/C][C]-1.1067[/C][C]0.135973[/C][/ROW]
[ROW][C]15[/C][C]-0.170133[/C][C]-1.4734[/C][C]0.072414[/C][/ROW]
[ROW][C]16[/C][C]-0.275354[/C][C]-2.3846[/C][C]0.009812[/C][/ROW]
[ROW][C]17[/C][C]-0.282483[/C][C]-2.4464[/C][C]0.008387[/C][/ROW]
[ROW][C]18[/C][C]-0.175976[/C][C]-1.524[/C][C]0.065858[/C][/ROW]
[ROW][C]19[/C][C]-0.095849[/C][C]-0.8301[/C][C]0.204564[/C][/ROW]
[ROW][C]20[/C][C]-0.09977[/C][C]-0.864[/C][C]0.195162[/C][/ROW]
[ROW][C]21[/C][C]-0.035571[/C][C]-0.3081[/C][C]0.379446[/C][/ROW]
[ROW][C]22[/C][C]0.04538[/C][C]0.393[/C][C]0.347718[/C][/ROW]
[ROW][C]23[/C][C]0.003929[/C][C]0.034[/C][C]0.486472[/C][/ROW]
[ROW][C]24[/C][C]-0.021723[/C][C]-0.1881[/C][C]0.425642[/C][/ROW]
[ROW][C]25[/C][C]0.006961[/C][C]0.0603[/C][C]0.476046[/C][/ROW]
[ROW][C]26[/C][C]0.032069[/C][C]0.2777[/C][C]0.390994[/C][/ROW]
[ROW][C]27[/C][C]-0.068477[/C][C]-0.593[/C][C]0.277474[/C][/ROW]
[ROW][C]28[/C][C]-0.151619[/C][C]-1.3131[/C][C]0.096583[/C][/ROW]
[ROW][C]29[/C][C]-0.076633[/C][C]-0.6637[/C][C]0.254472[/C][/ROW]
[ROW][C]30[/C][C]-0.082383[/C][C]-0.7135[/C][C]0.238887[/C][/ROW]
[ROW][C]31[/C][C]-0.054227[/C][C]-0.4696[/C][C]0.319995[/C][/ROW]
[ROW][C]32[/C][C]-0.021112[/C][C]-0.1828[/C][C]0.427709[/C][/ROW]
[ROW][C]33[/C][C]0.034815[/C][C]0.3015[/C][C]0.381932[/C][/ROW]
[ROW][C]34[/C][C]0.039414[/C][C]0.3413[/C][C]0.366902[/C][/ROW]
[ROW][C]35[/C][C]0.072354[/C][C]0.6266[/C][C]0.266412[/C][/ROW]
[ROW][C]36[/C][C]0.157666[/C][C]1.3654[/C][C]0.0881[/C][/ROW]
[ROW][C]37[/C][C]0.162189[/C][C]1.4046[/C][C]0.082134[/C][/ROW]
[ROW][C]38[/C][C]0.125113[/C][C]1.0835[/C][C]0.141026[/C][/ROW]
[ROW][C]39[/C][C]0.107629[/C][C]0.9321[/C][C]0.177139[/C][/ROW]
[ROW][C]40[/C][C]0.139093[/C][C]1.2046[/C][C]0.116077[/C][/ROW]
[ROW][C]41[/C][C]0.113585[/C][C]0.9837[/C][C]0.16422[/C][/ROW]
[ROW][C]42[/C][C]0.055852[/C][C]0.4837[/C][C]0.315006[/C][/ROW]
[ROW][C]43[/C][C]0.041585[/C][C]0.3601[/C][C]0.35988[/C][/ROW]
[ROW][C]44[/C][C]0.049249[/C][C]0.4265[/C][C]0.33548[/C][/ROW]
[ROW][C]45[/C][C]0.059551[/C][C]0.5157[/C][C]0.30378[/C][/ROW]
[ROW][C]46[/C][C]0.036699[/C][C]0.3178[/C][C]0.375751[/C][/ROW]
[ROW][C]47[/C][C]-0.002465[/C][C]-0.0213[/C][C]0.491512[/C][/ROW]
[ROW][C]48[/C][C]-0.038645[/C][C]-0.3347[/C][C]0.369402[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40455&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40455&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
10.6761675.85580
20.4631184.01077.1e-05
30.382583.31320.000711
40.3196772.76850.003546
50.1871381.62070.054643
60.0853750.73940.230996
70.0793080.68680.247155
80.0098370.08520.46617
9-0.060767-0.52630.300131
10-0.040122-0.34750.364608
11-0.015304-0.13250.447457
12-0.077974-0.67530.250788
13-0.153075-1.32570.094486
14-0.127794-1.10670.135973
15-0.170133-1.47340.072414
16-0.275354-2.38460.009812
17-0.282483-2.44640.008387
18-0.175976-1.5240.065858
19-0.095849-0.83010.204564
20-0.09977-0.8640.195162
21-0.035571-0.30810.379446
220.045380.3930.347718
230.0039290.0340.486472
24-0.021723-0.18810.425642
250.0069610.06030.476046
260.0320690.27770.390994
27-0.068477-0.5930.277474
28-0.151619-1.31310.096583
29-0.076633-0.66370.254472
30-0.082383-0.71350.238887
31-0.054227-0.46960.319995
32-0.021112-0.18280.427709
330.0348150.30150.381932
340.0394140.34130.366902
350.0723540.62660.266412
360.1576661.36540.0881
370.1621891.40460.082134
380.1251131.08350.141026
390.1076290.93210.177139
400.1390931.20460.116077
410.1135850.98370.16422
420.0558520.48370.315006
430.0415850.36010.35988
440.0492490.42650.33548
450.0595510.51570.30378
460.0366990.31780.375751
47-0.002465-0.02130.491512
48-0.038645-0.33470.369402







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6761675.85580
20.0108980.09440.462529
30.1206471.04480.149728
40.0281480.24380.404036
5-0.1224-1.060.14627
6-0.048555-0.42050.337661
70.065690.56890.285565
8-0.108743-0.94170.174674
9-0.038027-0.32930.371414
100.0800160.6930.245238
110.0023150.020.49203
12-0.105753-0.91580.181341
13-0.088063-0.76260.224033
140.0277920.24070.405226
15-0.136753-1.18430.120014
16-0.144453-1.2510.107412
170.0169030.14640.442007
180.1184951.02620.154048
190.0892710.77310.220943
20-0.017359-0.15030.440453
210.0501940.43470.332517
220.0264360.22890.409769
23-0.127453-1.10380.13661
24-0.02268-0.19640.422408
25-0.010142-0.08780.465123
260.0183180.15860.437191
27-0.1165-1.00890.158129
28-0.11559-1.0010.160014
290.0973960.84350.200822
30-0.075453-0.65340.257734
310.1102680.95490.171337
32-0.024202-0.20960.417277
33-0.009203-0.07970.468343
340.0470860.40780.342299
350.1408191.21950.113233
360.0822380.71220.239275
37-0.013729-0.11890.452836
380.0273370.23670.40675
39-0.007508-0.0650.474164
40-0.027405-0.23730.406522
41-0.054981-0.47610.317676
42-0.006845-0.05930.476444
43-0.076933-0.66630.253645
44-0.035506-0.30750.379662
450.0528210.45740.324338
460.0098410.08520.466154
47-0.068648-0.59450.276982
48-0.029393-0.25450.399884

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.676167 & 5.8558 & 0 \tabularnewline
2 & 0.010898 & 0.0944 & 0.462529 \tabularnewline
3 & 0.120647 & 1.0448 & 0.149728 \tabularnewline
4 & 0.028148 & 0.2438 & 0.404036 \tabularnewline
5 & -0.1224 & -1.06 & 0.14627 \tabularnewline
6 & -0.048555 & -0.4205 & 0.337661 \tabularnewline
7 & 0.06569 & 0.5689 & 0.285565 \tabularnewline
8 & -0.108743 & -0.9417 & 0.174674 \tabularnewline
9 & -0.038027 & -0.3293 & 0.371414 \tabularnewline
10 & 0.080016 & 0.693 & 0.245238 \tabularnewline
11 & 0.002315 & 0.02 & 0.49203 \tabularnewline
12 & -0.105753 & -0.9158 & 0.181341 \tabularnewline
13 & -0.088063 & -0.7626 & 0.224033 \tabularnewline
14 & 0.027792 & 0.2407 & 0.405226 \tabularnewline
15 & -0.136753 & -1.1843 & 0.120014 \tabularnewline
16 & -0.144453 & -1.251 & 0.107412 \tabularnewline
17 & 0.016903 & 0.1464 & 0.442007 \tabularnewline
18 & 0.118495 & 1.0262 & 0.154048 \tabularnewline
19 & 0.089271 & 0.7731 & 0.220943 \tabularnewline
20 & -0.017359 & -0.1503 & 0.440453 \tabularnewline
21 & 0.050194 & 0.4347 & 0.332517 \tabularnewline
22 & 0.026436 & 0.2289 & 0.409769 \tabularnewline
23 & -0.127453 & -1.1038 & 0.13661 \tabularnewline
24 & -0.02268 & -0.1964 & 0.422408 \tabularnewline
25 & -0.010142 & -0.0878 & 0.465123 \tabularnewline
26 & 0.018318 & 0.1586 & 0.437191 \tabularnewline
27 & -0.1165 & -1.0089 & 0.158129 \tabularnewline
28 & -0.11559 & -1.001 & 0.160014 \tabularnewline
29 & 0.097396 & 0.8435 & 0.200822 \tabularnewline
30 & -0.075453 & -0.6534 & 0.257734 \tabularnewline
31 & 0.110268 & 0.9549 & 0.171337 \tabularnewline
32 & -0.024202 & -0.2096 & 0.417277 \tabularnewline
33 & -0.009203 & -0.0797 & 0.468343 \tabularnewline
34 & 0.047086 & 0.4078 & 0.342299 \tabularnewline
35 & 0.140819 & 1.2195 & 0.113233 \tabularnewline
36 & 0.082238 & 0.7122 & 0.239275 \tabularnewline
37 & -0.013729 & -0.1189 & 0.452836 \tabularnewline
38 & 0.027337 & 0.2367 & 0.40675 \tabularnewline
39 & -0.007508 & -0.065 & 0.474164 \tabularnewline
40 & -0.027405 & -0.2373 & 0.406522 \tabularnewline
41 & -0.054981 & -0.4761 & 0.317676 \tabularnewline
42 & -0.006845 & -0.0593 & 0.476444 \tabularnewline
43 & -0.076933 & -0.6663 & 0.253645 \tabularnewline
44 & -0.035506 & -0.3075 & 0.379662 \tabularnewline
45 & 0.052821 & 0.4574 & 0.324338 \tabularnewline
46 & 0.009841 & 0.0852 & 0.466154 \tabularnewline
47 & -0.068648 & -0.5945 & 0.276982 \tabularnewline
48 & -0.029393 & -0.2545 & 0.399884 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40455&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]0.676167[/C][C]5.8558[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.010898[/C][C]0.0944[/C][C]0.462529[/C][/ROW]
[ROW][C]3[/C][C]0.120647[/C][C]1.0448[/C][C]0.149728[/C][/ROW]
[ROW][C]4[/C][C]0.028148[/C][C]0.2438[/C][C]0.404036[/C][/ROW]
[ROW][C]5[/C][C]-0.1224[/C][C]-1.06[/C][C]0.14627[/C][/ROW]
[ROW][C]6[/C][C]-0.048555[/C][C]-0.4205[/C][C]0.337661[/C][/ROW]
[ROW][C]7[/C][C]0.06569[/C][C]0.5689[/C][C]0.285565[/C][/ROW]
[ROW][C]8[/C][C]-0.108743[/C][C]-0.9417[/C][C]0.174674[/C][/ROW]
[ROW][C]9[/C][C]-0.038027[/C][C]-0.3293[/C][C]0.371414[/C][/ROW]
[ROW][C]10[/C][C]0.080016[/C][C]0.693[/C][C]0.245238[/C][/ROW]
[ROW][C]11[/C][C]0.002315[/C][C]0.02[/C][C]0.49203[/C][/ROW]
[ROW][C]12[/C][C]-0.105753[/C][C]-0.9158[/C][C]0.181341[/C][/ROW]
[ROW][C]13[/C][C]-0.088063[/C][C]-0.7626[/C][C]0.224033[/C][/ROW]
[ROW][C]14[/C][C]0.027792[/C][C]0.2407[/C][C]0.405226[/C][/ROW]
[ROW][C]15[/C][C]-0.136753[/C][C]-1.1843[/C][C]0.120014[/C][/ROW]
[ROW][C]16[/C][C]-0.144453[/C][C]-1.251[/C][C]0.107412[/C][/ROW]
[ROW][C]17[/C][C]0.016903[/C][C]0.1464[/C][C]0.442007[/C][/ROW]
[ROW][C]18[/C][C]0.118495[/C][C]1.0262[/C][C]0.154048[/C][/ROW]
[ROW][C]19[/C][C]0.089271[/C][C]0.7731[/C][C]0.220943[/C][/ROW]
[ROW][C]20[/C][C]-0.017359[/C][C]-0.1503[/C][C]0.440453[/C][/ROW]
[ROW][C]21[/C][C]0.050194[/C][C]0.4347[/C][C]0.332517[/C][/ROW]
[ROW][C]22[/C][C]0.026436[/C][C]0.2289[/C][C]0.409769[/C][/ROW]
[ROW][C]23[/C][C]-0.127453[/C][C]-1.1038[/C][C]0.13661[/C][/ROW]
[ROW][C]24[/C][C]-0.02268[/C][C]-0.1964[/C][C]0.422408[/C][/ROW]
[ROW][C]25[/C][C]-0.010142[/C][C]-0.0878[/C][C]0.465123[/C][/ROW]
[ROW][C]26[/C][C]0.018318[/C][C]0.1586[/C][C]0.437191[/C][/ROW]
[ROW][C]27[/C][C]-0.1165[/C][C]-1.0089[/C][C]0.158129[/C][/ROW]
[ROW][C]28[/C][C]-0.11559[/C][C]-1.001[/C][C]0.160014[/C][/ROW]
[ROW][C]29[/C][C]0.097396[/C][C]0.8435[/C][C]0.200822[/C][/ROW]
[ROW][C]30[/C][C]-0.075453[/C][C]-0.6534[/C][C]0.257734[/C][/ROW]
[ROW][C]31[/C][C]0.110268[/C][C]0.9549[/C][C]0.171337[/C][/ROW]
[ROW][C]32[/C][C]-0.024202[/C][C]-0.2096[/C][C]0.417277[/C][/ROW]
[ROW][C]33[/C][C]-0.009203[/C][C]-0.0797[/C][C]0.468343[/C][/ROW]
[ROW][C]34[/C][C]0.047086[/C][C]0.4078[/C][C]0.342299[/C][/ROW]
[ROW][C]35[/C][C]0.140819[/C][C]1.2195[/C][C]0.113233[/C][/ROW]
[ROW][C]36[/C][C]0.082238[/C][C]0.7122[/C][C]0.239275[/C][/ROW]
[ROW][C]37[/C][C]-0.013729[/C][C]-0.1189[/C][C]0.452836[/C][/ROW]
[ROW][C]38[/C][C]0.027337[/C][C]0.2367[/C][C]0.40675[/C][/ROW]
[ROW][C]39[/C][C]-0.007508[/C][C]-0.065[/C][C]0.474164[/C][/ROW]
[ROW][C]40[/C][C]-0.027405[/C][C]-0.2373[/C][C]0.406522[/C][/ROW]
[ROW][C]41[/C][C]-0.054981[/C][C]-0.4761[/C][C]0.317676[/C][/ROW]
[ROW][C]42[/C][C]-0.006845[/C][C]-0.0593[/C][C]0.476444[/C][/ROW]
[ROW][C]43[/C][C]-0.076933[/C][C]-0.6663[/C][C]0.253645[/C][/ROW]
[ROW][C]44[/C][C]-0.035506[/C][C]-0.3075[/C][C]0.379662[/C][/ROW]
[ROW][C]45[/C][C]0.052821[/C][C]0.4574[/C][C]0.324338[/C][/ROW]
[ROW][C]46[/C][C]0.009841[/C][C]0.0852[/C][C]0.466154[/C][/ROW]
[ROW][C]47[/C][C]-0.068648[/C][C]-0.5945[/C][C]0.276982[/C][/ROW]
[ROW][C]48[/C][C]-0.029393[/C][C]-0.2545[/C][C]0.399884[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40455&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40455&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
10.6761675.85580
20.0108980.09440.462529
30.1206471.04480.149728
40.0281480.24380.404036
5-0.1224-1.060.14627
6-0.048555-0.42050.337661
70.065690.56890.285565
8-0.108743-0.94170.174674
9-0.038027-0.32930.371414
100.0800160.6930.245238
110.0023150.020.49203
12-0.105753-0.91580.181341
13-0.088063-0.76260.224033
140.0277920.24070.405226
15-0.136753-1.18430.120014
16-0.144453-1.2510.107412
170.0169030.14640.442007
180.1184951.02620.154048
190.0892710.77310.220943
20-0.017359-0.15030.440453
210.0501940.43470.332517
220.0264360.22890.409769
23-0.127453-1.10380.13661
24-0.02268-0.19640.422408
25-0.010142-0.08780.465123
260.0183180.15860.437191
27-0.1165-1.00890.158129
28-0.11559-1.0010.160014
290.0973960.84350.200822
30-0.075453-0.65340.257734
310.1102680.95490.171337
32-0.024202-0.20960.417277
33-0.009203-0.07970.468343
340.0470860.40780.342299
350.1408191.21950.113233
360.0822380.71220.239275
37-0.013729-0.11890.452836
380.0273370.23670.40675
39-0.007508-0.0650.474164
40-0.027405-0.23730.406522
41-0.054981-0.47610.317676
42-0.006845-0.05930.476444
43-0.076933-0.66630.253645
44-0.035506-0.30750.379662
450.0528210.45740.324338
460.0098410.08520.466154
47-0.068648-0.59450.276982
48-0.029393-0.25450.399884



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')