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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 06 Jan 2008 06:48:56 -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/Jan/06/t1199627649agmlpqjmztqxq1u.htm/, Retrieved Sun, 05 May 2024 01:51:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7798, Retrieved Sun, 05 May 2024 01:51:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF Inflatie before] [2008-01-06 13:48:56] [fea8286ffce1c0d00dd375fb36de4323] [Current]
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Dataseries X:
1.1
1.3
1.2
1.6
1.7
1.5
0.9
1.5
1.4
1.6
1.7
1.4
1.8
1.7
1.4
1.2
1
1.7
2.4
2
2.1
2
1.8
2.7
2.3
1.9
2
2.3
2.8
2.4
2.3
2.7
2.7
2.9
3
2.2
2.3
2.8
2.8
2.8
2.2
2.6
2.8
2.5
2.4
2.3
1.9
1.7
2
2.1
1.7
1.8
1.8
1.8
1.3
1.3
1.3
1.2
1.4
2.2




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7798&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]2 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=7798&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7798&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.7688215.95530
20.6093994.72047e-06
30.5761114.46251.8e-05
40.5626934.35862.6e-05
50.5863424.54181.4e-05
60.4968583.84860.000145
70.3625072.8080.003359
80.3508342.71760.004292
90.3182512.46520.008287
100.3333212.58190.006143
110.2261951.75210.042433
12-0.010816-0.08380.533244
13-0.014094-0.10920.543285
140.0224810.17410.431173
15-0.05263-0.40770.657516
16-0.148093-1.14710.872058
17-0.297895-2.30750.987753
18-0.307673-2.38320.989828
19-0.259139-2.00730.975385
20-0.272037-2.10720.980355
21-0.308483-2.38950.989985
22-0.389239-3.0150.998119
23-0.448861-3.47690.999525
24-0.381385-2.95420.997764
25-0.361635-2.80120.996579
26-0.41758-3.23460.999008
27-0.433413-3.35720.999314
28-0.414406-3.210.998933
29-0.346558-2.68440.995311
30-0.312286-2.4190.990693
31-0.315342-2.44260.991229
32-0.303207-2.34860.988922
33-0.289214-2.24020.985605
34-0.24432-1.89250.968374
35-0.189397-1.46710.92621
36-0.183019-1.41770.919268
37-0.18964-1.46890.926464
38-0.11611-0.89940.813977
39-0.057027-0.44170.669864
400.0001240.0010.499619
410.0362530.28080.38991
420.0251750.1950.423025
430.0226390.17540.430693
440.0477740.37010.356322
450.0659630.5110.30563
460.0939210.72750.234871
470.0992970.76910.222411

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.768821 & 5.9553 & 0 \tabularnewline
2 & 0.609399 & 4.7204 & 7e-06 \tabularnewline
3 & 0.576111 & 4.4625 & 1.8e-05 \tabularnewline
4 & 0.562693 & 4.3586 & 2.6e-05 \tabularnewline
5 & 0.586342 & 4.5418 & 1.4e-05 \tabularnewline
6 & 0.496858 & 3.8486 & 0.000145 \tabularnewline
7 & 0.362507 & 2.808 & 0.003359 \tabularnewline
8 & 0.350834 & 2.7176 & 0.004292 \tabularnewline
9 & 0.318251 & 2.4652 & 0.008287 \tabularnewline
10 & 0.333321 & 2.5819 & 0.006143 \tabularnewline
11 & 0.226195 & 1.7521 & 0.042433 \tabularnewline
12 & -0.010816 & -0.0838 & 0.533244 \tabularnewline
13 & -0.014094 & -0.1092 & 0.543285 \tabularnewline
14 & 0.022481 & 0.1741 & 0.431173 \tabularnewline
15 & -0.05263 & -0.4077 & 0.657516 \tabularnewline
16 & -0.148093 & -1.1471 & 0.872058 \tabularnewline
17 & -0.297895 & -2.3075 & 0.987753 \tabularnewline
18 & -0.307673 & -2.3832 & 0.989828 \tabularnewline
19 & -0.259139 & -2.0073 & 0.975385 \tabularnewline
20 & -0.272037 & -2.1072 & 0.980355 \tabularnewline
21 & -0.308483 & -2.3895 & 0.989985 \tabularnewline
22 & -0.389239 & -3.015 & 0.998119 \tabularnewline
23 & -0.448861 & -3.4769 & 0.999525 \tabularnewline
24 & -0.381385 & -2.9542 & 0.997764 \tabularnewline
25 & -0.361635 & -2.8012 & 0.996579 \tabularnewline
26 & -0.41758 & -3.2346 & 0.999008 \tabularnewline
27 & -0.433413 & -3.3572 & 0.999314 \tabularnewline
28 & -0.414406 & -3.21 & 0.998933 \tabularnewline
29 & -0.346558 & -2.6844 & 0.995311 \tabularnewline
30 & -0.312286 & -2.419 & 0.990693 \tabularnewline
31 & -0.315342 & -2.4426 & 0.991229 \tabularnewline
32 & -0.303207 & -2.3486 & 0.988922 \tabularnewline
33 & -0.289214 & -2.2402 & 0.985605 \tabularnewline
34 & -0.24432 & -1.8925 & 0.968374 \tabularnewline
35 & -0.189397 & -1.4671 & 0.92621 \tabularnewline
36 & -0.183019 & -1.4177 & 0.919268 \tabularnewline
37 & -0.18964 & -1.4689 & 0.926464 \tabularnewline
38 & -0.11611 & -0.8994 & 0.813977 \tabularnewline
39 & -0.057027 & -0.4417 & 0.669864 \tabularnewline
40 & 0.000124 & 0.001 & 0.499619 \tabularnewline
41 & 0.036253 & 0.2808 & 0.38991 \tabularnewline
42 & 0.025175 & 0.195 & 0.423025 \tabularnewline
43 & 0.022639 & 0.1754 & 0.430693 \tabularnewline
44 & 0.047774 & 0.3701 & 0.356322 \tabularnewline
45 & 0.065963 & 0.511 & 0.30563 \tabularnewline
46 & 0.093921 & 0.7275 & 0.234871 \tabularnewline
47 & 0.099297 & 0.7691 & 0.222411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7798&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.768821[/C][C]5.9553[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.609399[/C][C]4.7204[/C][C]7e-06[/C][/ROW]
[ROW][C]3[/C][C]0.576111[/C][C]4.4625[/C][C]1.8e-05[/C][/ROW]
[ROW][C]4[/C][C]0.562693[/C][C]4.3586[/C][C]2.6e-05[/C][/ROW]
[ROW][C]5[/C][C]0.586342[/C][C]4.5418[/C][C]1.4e-05[/C][/ROW]
[ROW][C]6[/C][C]0.496858[/C][C]3.8486[/C][C]0.000145[/C][/ROW]
[ROW][C]7[/C][C]0.362507[/C][C]2.808[/C][C]0.003359[/C][/ROW]
[ROW][C]8[/C][C]0.350834[/C][C]2.7176[/C][C]0.004292[/C][/ROW]
[ROW][C]9[/C][C]0.318251[/C][C]2.4652[/C][C]0.008287[/C][/ROW]
[ROW][C]10[/C][C]0.333321[/C][C]2.5819[/C][C]0.006143[/C][/ROW]
[ROW][C]11[/C][C]0.226195[/C][C]1.7521[/C][C]0.042433[/C][/ROW]
[ROW][C]12[/C][C]-0.010816[/C][C]-0.0838[/C][C]0.533244[/C][/ROW]
[ROW][C]13[/C][C]-0.014094[/C][C]-0.1092[/C][C]0.543285[/C][/ROW]
[ROW][C]14[/C][C]0.022481[/C][C]0.1741[/C][C]0.431173[/C][/ROW]
[ROW][C]15[/C][C]-0.05263[/C][C]-0.4077[/C][C]0.657516[/C][/ROW]
[ROW][C]16[/C][C]-0.148093[/C][C]-1.1471[/C][C]0.872058[/C][/ROW]
[ROW][C]17[/C][C]-0.297895[/C][C]-2.3075[/C][C]0.987753[/C][/ROW]
[ROW][C]18[/C][C]-0.307673[/C][C]-2.3832[/C][C]0.989828[/C][/ROW]
[ROW][C]19[/C][C]-0.259139[/C][C]-2.0073[/C][C]0.975385[/C][/ROW]
[ROW][C]20[/C][C]-0.272037[/C][C]-2.1072[/C][C]0.980355[/C][/ROW]
[ROW][C]21[/C][C]-0.308483[/C][C]-2.3895[/C][C]0.989985[/C][/ROW]
[ROW][C]22[/C][C]-0.389239[/C][C]-3.015[/C][C]0.998119[/C][/ROW]
[ROW][C]23[/C][C]-0.448861[/C][C]-3.4769[/C][C]0.999525[/C][/ROW]
[ROW][C]24[/C][C]-0.381385[/C][C]-2.9542[/C][C]0.997764[/C][/ROW]
[ROW][C]25[/C][C]-0.361635[/C][C]-2.8012[/C][C]0.996579[/C][/ROW]
[ROW][C]26[/C][C]-0.41758[/C][C]-3.2346[/C][C]0.999008[/C][/ROW]
[ROW][C]27[/C][C]-0.433413[/C][C]-3.3572[/C][C]0.999314[/C][/ROW]
[ROW][C]28[/C][C]-0.414406[/C][C]-3.21[/C][C]0.998933[/C][/ROW]
[ROW][C]29[/C][C]-0.346558[/C][C]-2.6844[/C][C]0.995311[/C][/ROW]
[ROW][C]30[/C][C]-0.312286[/C][C]-2.419[/C][C]0.990693[/C][/ROW]
[ROW][C]31[/C][C]-0.315342[/C][C]-2.4426[/C][C]0.991229[/C][/ROW]
[ROW][C]32[/C][C]-0.303207[/C][C]-2.3486[/C][C]0.988922[/C][/ROW]
[ROW][C]33[/C][C]-0.289214[/C][C]-2.2402[/C][C]0.985605[/C][/ROW]
[ROW][C]34[/C][C]-0.24432[/C][C]-1.8925[/C][C]0.968374[/C][/ROW]
[ROW][C]35[/C][C]-0.189397[/C][C]-1.4671[/C][C]0.92621[/C][/ROW]
[ROW][C]36[/C][C]-0.183019[/C][C]-1.4177[/C][C]0.919268[/C][/ROW]
[ROW][C]37[/C][C]-0.18964[/C][C]-1.4689[/C][C]0.926464[/C][/ROW]
[ROW][C]38[/C][C]-0.11611[/C][C]-0.8994[/C][C]0.813977[/C][/ROW]
[ROW][C]39[/C][C]-0.057027[/C][C]-0.4417[/C][C]0.669864[/C][/ROW]
[ROW][C]40[/C][C]0.000124[/C][C]0.001[/C][C]0.499619[/C][/ROW]
[ROW][C]41[/C][C]0.036253[/C][C]0.2808[/C][C]0.38991[/C][/ROW]
[ROW][C]42[/C][C]0.025175[/C][C]0.195[/C][C]0.423025[/C][/ROW]
[ROW][C]43[/C][C]0.022639[/C][C]0.1754[/C][C]0.430693[/C][/ROW]
[ROW][C]44[/C][C]0.047774[/C][C]0.3701[/C][C]0.356322[/C][/ROW]
[ROW][C]45[/C][C]0.065963[/C][C]0.511[/C][C]0.30563[/C][/ROW]
[ROW][C]46[/C][C]0.093921[/C][C]0.7275[/C][C]0.234871[/C][/ROW]
[ROW][C]47[/C][C]0.099297[/C][C]0.7691[/C][C]0.222411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7798&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7798&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
017.7460
10.7688215.95530
20.6093994.72047e-06
30.5761114.46251.8e-05
40.5626934.35862.6e-05
50.5863424.54181.4e-05
60.4968583.84860.000145
70.3625072.8080.003359
80.3508342.71760.004292
90.3182512.46520.008287
100.3333212.58190.006143
110.2261951.75210.042433
12-0.010816-0.08380.533244
13-0.014094-0.10920.543285
140.0224810.17410.431173
15-0.05263-0.40770.657516
16-0.148093-1.14710.872058
17-0.297895-2.30750.987753
18-0.307673-2.38320.989828
19-0.259139-2.00730.975385
20-0.272037-2.10720.980355
21-0.308483-2.38950.989985
22-0.389239-3.0150.998119
23-0.448861-3.47690.999525
24-0.381385-2.95420.997764
25-0.361635-2.80120.996579
26-0.41758-3.23460.999008
27-0.433413-3.35720.999314
28-0.414406-3.210.998933
29-0.346558-2.68440.995311
30-0.312286-2.4190.990693
31-0.315342-2.44260.991229
32-0.303207-2.34860.988922
33-0.289214-2.24020.985605
34-0.24432-1.89250.968374
35-0.189397-1.46710.92621
36-0.183019-1.41770.919268
37-0.18964-1.46890.926464
38-0.11611-0.89940.813977
39-0.057027-0.44170.669864
400.0001240.0010.499619
410.0362530.28080.38991
420.0251750.1950.423025
430.0226390.17540.430693
440.0477740.37010.356322
450.0659630.5110.30563
460.0939210.72750.234871
470.0992970.76910.222411







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.7688215.95530
10.0447860.34690.364935
20.2306871.78690.039503
30.1142580.8850.189834
40.2080551.61160.05615
5-0.160226-1.24110.890301
6-0.150187-1.16330.875352
70.0947780.73410.23286
8-0.093247-0.72230.763538
90.1406111.08920.140218
10-0.27769-2.1510.982242
11-0.391647-3.03370.998216
120.2005491.55340.062788
130.0100590.07790.469077
14-0.210037-1.62690.945505
15-0.135024-1.04590.850096
16-0.094813-0.73440.767222
170.1161180.89940.186006
18-0.041026-0.31780.624124
190.0728960.56470.287208
20-0.023292-0.18040.571283
210.0784750.60790.272785
22-0.142854-1.10650.863545
23-0.16594-1.28540.898198
240.1923481.48990.070742
25-0.028398-0.220.58668
26-0.006122-0.04740.518832
27-0.087606-0.67860.749997
28-0.076458-0.59220.722043
290.0774810.60020.275328
300.0557610.43190.333673
31-0.038174-0.29570.615757
32-0.108272-0.83870.797509
330.0327080.25340.40043
34-0.089474-0.69310.754529
35-0.043314-0.33550.630794
360.0817920.63360.264388
370.1117820.86590.195009
38-0.038355-0.29710.61629
39-0.001692-0.01310.505207
400.0054260.0420.483307
41-0.089286-0.69160.754073
42-0.052036-0.40310.655835
43-0.006505-0.05040.52001
44-0.082914-0.64220.73842
450.0152340.1180.453231
46-0.013222-0.10240.540618
47-0.039098-0.30290.618474

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.768821 & 5.9553 & 0 \tabularnewline
1 & 0.044786 & 0.3469 & 0.364935 \tabularnewline
2 & 0.230687 & 1.7869 & 0.039503 \tabularnewline
3 & 0.114258 & 0.885 & 0.189834 \tabularnewline
4 & 0.208055 & 1.6116 & 0.05615 \tabularnewline
5 & -0.160226 & -1.2411 & 0.890301 \tabularnewline
6 & -0.150187 & -1.1633 & 0.875352 \tabularnewline
7 & 0.094778 & 0.7341 & 0.23286 \tabularnewline
8 & -0.093247 & -0.7223 & 0.763538 \tabularnewline
9 & 0.140611 & 1.0892 & 0.140218 \tabularnewline
10 & -0.27769 & -2.151 & 0.982242 \tabularnewline
11 & -0.391647 & -3.0337 & 0.998216 \tabularnewline
12 & 0.200549 & 1.5534 & 0.062788 \tabularnewline
13 & 0.010059 & 0.0779 & 0.469077 \tabularnewline
14 & -0.210037 & -1.6269 & 0.945505 \tabularnewline
15 & -0.135024 & -1.0459 & 0.850096 \tabularnewline
16 & -0.094813 & -0.7344 & 0.767222 \tabularnewline
17 & 0.116118 & 0.8994 & 0.186006 \tabularnewline
18 & -0.041026 & -0.3178 & 0.624124 \tabularnewline
19 & 0.072896 & 0.5647 & 0.287208 \tabularnewline
20 & -0.023292 & -0.1804 & 0.571283 \tabularnewline
21 & 0.078475 & 0.6079 & 0.272785 \tabularnewline
22 & -0.142854 & -1.1065 & 0.863545 \tabularnewline
23 & -0.16594 & -1.2854 & 0.898198 \tabularnewline
24 & 0.192348 & 1.4899 & 0.070742 \tabularnewline
25 & -0.028398 & -0.22 & 0.58668 \tabularnewline
26 & -0.006122 & -0.0474 & 0.518832 \tabularnewline
27 & -0.087606 & -0.6786 & 0.749997 \tabularnewline
28 & -0.076458 & -0.5922 & 0.722043 \tabularnewline
29 & 0.077481 & 0.6002 & 0.275328 \tabularnewline
30 & 0.055761 & 0.4319 & 0.333673 \tabularnewline
31 & -0.038174 & -0.2957 & 0.615757 \tabularnewline
32 & -0.108272 & -0.8387 & 0.797509 \tabularnewline
33 & 0.032708 & 0.2534 & 0.40043 \tabularnewline
34 & -0.089474 & -0.6931 & 0.754529 \tabularnewline
35 & -0.043314 & -0.3355 & 0.630794 \tabularnewline
36 & 0.081792 & 0.6336 & 0.264388 \tabularnewline
37 & 0.111782 & 0.8659 & 0.195009 \tabularnewline
38 & -0.038355 & -0.2971 & 0.61629 \tabularnewline
39 & -0.001692 & -0.0131 & 0.505207 \tabularnewline
40 & 0.005426 & 0.042 & 0.483307 \tabularnewline
41 & -0.089286 & -0.6916 & 0.754073 \tabularnewline
42 & -0.052036 & -0.4031 & 0.655835 \tabularnewline
43 & -0.006505 & -0.0504 & 0.52001 \tabularnewline
44 & -0.082914 & -0.6422 & 0.73842 \tabularnewline
45 & 0.015234 & 0.118 & 0.453231 \tabularnewline
46 & -0.013222 & -0.1024 & 0.540618 \tabularnewline
47 & -0.039098 & -0.3029 & 0.618474 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7798&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]0.768821[/C][C]5.9553[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.044786[/C][C]0.3469[/C][C]0.364935[/C][/ROW]
[ROW][C]2[/C][C]0.230687[/C][C]1.7869[/C][C]0.039503[/C][/ROW]
[ROW][C]3[/C][C]0.114258[/C][C]0.885[/C][C]0.189834[/C][/ROW]
[ROW][C]4[/C][C]0.208055[/C][C]1.6116[/C][C]0.05615[/C][/ROW]
[ROW][C]5[/C][C]-0.160226[/C][C]-1.2411[/C][C]0.890301[/C][/ROW]
[ROW][C]6[/C][C]-0.150187[/C][C]-1.1633[/C][C]0.875352[/C][/ROW]
[ROW][C]7[/C][C]0.094778[/C][C]0.7341[/C][C]0.23286[/C][/ROW]
[ROW][C]8[/C][C]-0.093247[/C][C]-0.7223[/C][C]0.763538[/C][/ROW]
[ROW][C]9[/C][C]0.140611[/C][C]1.0892[/C][C]0.140218[/C][/ROW]
[ROW][C]10[/C][C]-0.27769[/C][C]-2.151[/C][C]0.982242[/C][/ROW]
[ROW][C]11[/C][C]-0.391647[/C][C]-3.0337[/C][C]0.998216[/C][/ROW]
[ROW][C]12[/C][C]0.200549[/C][C]1.5534[/C][C]0.062788[/C][/ROW]
[ROW][C]13[/C][C]0.010059[/C][C]0.0779[/C][C]0.469077[/C][/ROW]
[ROW][C]14[/C][C]-0.210037[/C][C]-1.6269[/C][C]0.945505[/C][/ROW]
[ROW][C]15[/C][C]-0.135024[/C][C]-1.0459[/C][C]0.850096[/C][/ROW]
[ROW][C]16[/C][C]-0.094813[/C][C]-0.7344[/C][C]0.767222[/C][/ROW]
[ROW][C]17[/C][C]0.116118[/C][C]0.8994[/C][C]0.186006[/C][/ROW]
[ROW][C]18[/C][C]-0.041026[/C][C]-0.3178[/C][C]0.624124[/C][/ROW]
[ROW][C]19[/C][C]0.072896[/C][C]0.5647[/C][C]0.287208[/C][/ROW]
[ROW][C]20[/C][C]-0.023292[/C][C]-0.1804[/C][C]0.571283[/C][/ROW]
[ROW][C]21[/C][C]0.078475[/C][C]0.6079[/C][C]0.272785[/C][/ROW]
[ROW][C]22[/C][C]-0.142854[/C][C]-1.1065[/C][C]0.863545[/C][/ROW]
[ROW][C]23[/C][C]-0.16594[/C][C]-1.2854[/C][C]0.898198[/C][/ROW]
[ROW][C]24[/C][C]0.192348[/C][C]1.4899[/C][C]0.070742[/C][/ROW]
[ROW][C]25[/C][C]-0.028398[/C][C]-0.22[/C][C]0.58668[/C][/ROW]
[ROW][C]26[/C][C]-0.006122[/C][C]-0.0474[/C][C]0.518832[/C][/ROW]
[ROW][C]27[/C][C]-0.087606[/C][C]-0.6786[/C][C]0.749997[/C][/ROW]
[ROW][C]28[/C][C]-0.076458[/C][C]-0.5922[/C][C]0.722043[/C][/ROW]
[ROW][C]29[/C][C]0.077481[/C][C]0.6002[/C][C]0.275328[/C][/ROW]
[ROW][C]30[/C][C]0.055761[/C][C]0.4319[/C][C]0.333673[/C][/ROW]
[ROW][C]31[/C][C]-0.038174[/C][C]-0.2957[/C][C]0.615757[/C][/ROW]
[ROW][C]32[/C][C]-0.108272[/C][C]-0.8387[/C][C]0.797509[/C][/ROW]
[ROW][C]33[/C][C]0.032708[/C][C]0.2534[/C][C]0.40043[/C][/ROW]
[ROW][C]34[/C][C]-0.089474[/C][C]-0.6931[/C][C]0.754529[/C][/ROW]
[ROW][C]35[/C][C]-0.043314[/C][C]-0.3355[/C][C]0.630794[/C][/ROW]
[ROW][C]36[/C][C]0.081792[/C][C]0.6336[/C][C]0.264388[/C][/ROW]
[ROW][C]37[/C][C]0.111782[/C][C]0.8659[/C][C]0.195009[/C][/ROW]
[ROW][C]38[/C][C]-0.038355[/C][C]-0.2971[/C][C]0.61629[/C][/ROW]
[ROW][C]39[/C][C]-0.001692[/C][C]-0.0131[/C][C]0.505207[/C][/ROW]
[ROW][C]40[/C][C]0.005426[/C][C]0.042[/C][C]0.483307[/C][/ROW]
[ROW][C]41[/C][C]-0.089286[/C][C]-0.6916[/C][C]0.754073[/C][/ROW]
[ROW][C]42[/C][C]-0.052036[/C][C]-0.4031[/C][C]0.655835[/C][/ROW]
[ROW][C]43[/C][C]-0.006505[/C][C]-0.0504[/C][C]0.52001[/C][/ROW]
[ROW][C]44[/C][C]-0.082914[/C][C]-0.6422[/C][C]0.73842[/C][/ROW]
[ROW][C]45[/C][C]0.015234[/C][C]0.118[/C][C]0.453231[/C][/ROW]
[ROW][C]46[/C][C]-0.013222[/C][C]-0.1024[/C][C]0.540618[/C][/ROW]
[ROW][C]47[/C][C]-0.039098[/C][C]-0.3029[/C][C]0.618474[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7798&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7798&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
00.7688215.95530
10.0447860.34690.364935
20.2306871.78690.039503
30.1142580.8850.189834
40.2080551.61160.05615
5-0.160226-1.24110.890301
6-0.150187-1.16330.875352
70.0947780.73410.23286
8-0.093247-0.72230.763538
90.1406111.08920.140218
10-0.27769-2.1510.982242
11-0.391647-3.03370.998216
120.2005491.55340.062788
130.0100590.07790.469077
14-0.210037-1.62690.945505
15-0.135024-1.04590.850096
16-0.094813-0.73440.767222
170.1161180.89940.186006
18-0.041026-0.31780.624124
190.0728960.56470.287208
20-0.023292-0.18040.571283
210.0784750.60790.272785
22-0.142854-1.10650.863545
23-0.16594-1.28540.898198
240.1923481.48990.070742
25-0.028398-0.220.58668
26-0.006122-0.04740.518832
27-0.087606-0.67860.749997
28-0.076458-0.59220.722043
290.0774810.60020.275328
300.0557610.43190.333673
31-0.038174-0.29570.615757
32-0.108272-0.83870.797509
330.0327080.25340.40043
34-0.089474-0.69310.754529
35-0.043314-0.33550.630794
360.0817920.63360.264388
370.1117820.86590.195009
38-0.038355-0.29710.61629
39-0.001692-0.01310.505207
400.0054260.0420.483307
41-0.089286-0.69160.754073
42-0.052036-0.40310.655835
43-0.006505-0.05040.52001
44-0.082914-0.64220.73842
450.0152340.1180.453231
46-0.013222-0.10240.540618
47-0.039098-0.30290.618474



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 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')