Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 09:19:26 -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/17/t12295308926orbntsxzb8rb4b.htm/, Retrieved Sun, 19 May 2024 07:11:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34437, Retrieved Sun, 19 May 2024 07:11:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-17 16:19:26] [86e877ba38171644c8ca01af8044e645] [Current]
Feedback Forum

Post a new message
Dataseries X:
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9
6.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 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=34437&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]2 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=34437&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34437&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8865446.92410
20.708315.53210
30.564024.40512.2e-05
40.4980333.88980.000125
50.5056333.94910.000103
60.5257514.10626.1e-05
70.491743.84060.000147
80.4283843.34580.000704
90.3774182.94770.002265
100.3624392.83070.00314
110.3563412.78310.003579
120.3328922.60.005839
130.2420881.89080.031704
140.1528351.19370.118612
150.0890810.69570.244616
160.0483130.37730.353617
170.0420440.32840.371877
180.0409920.32020.374972
190.0041350.03230.487171
20-0.04554-0.35570.361654
21-0.087314-0.68190.248928
22-0.108496-0.84740.200047
23-0.120208-0.93890.175755
24-0.132336-1.03360.152707
25-0.163377-1.2760.103393
26-0.194066-1.51570.06738
27-0.213079-1.66420.050601
28-0.221615-1.73090.044265
29-0.224037-1.74980.042592
30-0.227292-1.77520.040426
31-0.24342-1.90120.031003
32-0.268529-2.09730.020061
33-0.278434-2.17460.016772
34-0.2732-2.13380.018446
35-0.259285-2.02510.023621
36-0.239383-1.86960.033168
37-0.23091-1.80350.038127
38-0.224478-1.75320.042293
39-0.208649-1.62960.05417
40-0.204985-1.6010.057273
41-0.208742-1.63030.054093
42-0.231475-1.80790.037778
43-0.25995-2.03030.023348
44-0.286746-2.23960.014388
45-0.277748-2.16930.016984
46-0.234698-1.83310.035838
47-0.186794-1.45890.07486
48-0.139543-1.08990.140029
49-0.107912-0.84280.201311
50-0.096338-0.75240.227346
51-0.096448-0.75330.227089
52-0.125796-0.98250.164867
53-0.151616-1.18420.120471
54-0.16109-1.25820.106566
55-0.145408-1.13570.130268
56-0.114513-0.89440.187318
57-0.074584-0.58250.281183
58-0.044479-0.34740.364746
59-0.029214-0.22820.410138
60-0.015265-0.11920.452746

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.886544 & 6.9241 & 0 \tabularnewline
2 & 0.70831 & 5.5321 & 0 \tabularnewline
3 & 0.56402 & 4.4051 & 2.2e-05 \tabularnewline
4 & 0.498033 & 3.8898 & 0.000125 \tabularnewline
5 & 0.505633 & 3.9491 & 0.000103 \tabularnewline
6 & 0.525751 & 4.1062 & 6.1e-05 \tabularnewline
7 & 0.49174 & 3.8406 & 0.000147 \tabularnewline
8 & 0.428384 & 3.3458 & 0.000704 \tabularnewline
9 & 0.377418 & 2.9477 & 0.002265 \tabularnewline
10 & 0.362439 & 2.8307 & 0.00314 \tabularnewline
11 & 0.356341 & 2.7831 & 0.003579 \tabularnewline
12 & 0.332892 & 2.6 & 0.005839 \tabularnewline
13 & 0.242088 & 1.8908 & 0.031704 \tabularnewline
14 & 0.152835 & 1.1937 & 0.118612 \tabularnewline
15 & 0.089081 & 0.6957 & 0.244616 \tabularnewline
16 & 0.048313 & 0.3773 & 0.353617 \tabularnewline
17 & 0.042044 & 0.3284 & 0.371877 \tabularnewline
18 & 0.040992 & 0.3202 & 0.374972 \tabularnewline
19 & 0.004135 & 0.0323 & 0.487171 \tabularnewline
20 & -0.04554 & -0.3557 & 0.361654 \tabularnewline
21 & -0.087314 & -0.6819 & 0.248928 \tabularnewline
22 & -0.108496 & -0.8474 & 0.200047 \tabularnewline
23 & -0.120208 & -0.9389 & 0.175755 \tabularnewline
24 & -0.132336 & -1.0336 & 0.152707 \tabularnewline
25 & -0.163377 & -1.276 & 0.103393 \tabularnewline
26 & -0.194066 & -1.5157 & 0.06738 \tabularnewline
27 & -0.213079 & -1.6642 & 0.050601 \tabularnewline
28 & -0.221615 & -1.7309 & 0.044265 \tabularnewline
29 & -0.224037 & -1.7498 & 0.042592 \tabularnewline
30 & -0.227292 & -1.7752 & 0.040426 \tabularnewline
31 & -0.24342 & -1.9012 & 0.031003 \tabularnewline
32 & -0.268529 & -2.0973 & 0.020061 \tabularnewline
33 & -0.278434 & -2.1746 & 0.016772 \tabularnewline
34 & -0.2732 & -2.1338 & 0.018446 \tabularnewline
35 & -0.259285 & -2.0251 & 0.023621 \tabularnewline
36 & -0.239383 & -1.8696 & 0.033168 \tabularnewline
37 & -0.23091 & -1.8035 & 0.038127 \tabularnewline
38 & -0.224478 & -1.7532 & 0.042293 \tabularnewline
39 & -0.208649 & -1.6296 & 0.05417 \tabularnewline
40 & -0.204985 & -1.601 & 0.057273 \tabularnewline
41 & -0.208742 & -1.6303 & 0.054093 \tabularnewline
42 & -0.231475 & -1.8079 & 0.037778 \tabularnewline
43 & -0.25995 & -2.0303 & 0.023348 \tabularnewline
44 & -0.286746 & -2.2396 & 0.014388 \tabularnewline
45 & -0.277748 & -2.1693 & 0.016984 \tabularnewline
46 & -0.234698 & -1.8331 & 0.035838 \tabularnewline
47 & -0.186794 & -1.4589 & 0.07486 \tabularnewline
48 & -0.139543 & -1.0899 & 0.140029 \tabularnewline
49 & -0.107912 & -0.8428 & 0.201311 \tabularnewline
50 & -0.096338 & -0.7524 & 0.227346 \tabularnewline
51 & -0.096448 & -0.7533 & 0.227089 \tabularnewline
52 & -0.125796 & -0.9825 & 0.164867 \tabularnewline
53 & -0.151616 & -1.1842 & 0.120471 \tabularnewline
54 & -0.16109 & -1.2582 & 0.106566 \tabularnewline
55 & -0.145408 & -1.1357 & 0.130268 \tabularnewline
56 & -0.114513 & -0.8944 & 0.187318 \tabularnewline
57 & -0.074584 & -0.5825 & 0.281183 \tabularnewline
58 & -0.044479 & -0.3474 & 0.364746 \tabularnewline
59 & -0.029214 & -0.2282 & 0.410138 \tabularnewline
60 & -0.015265 & -0.1192 & 0.452746 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34437&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]0.886544[/C][C]6.9241[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.70831[/C][C]5.5321[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.56402[/C][C]4.4051[/C][C]2.2e-05[/C][/ROW]
[ROW][C]4[/C][C]0.498033[/C][C]3.8898[/C][C]0.000125[/C][/ROW]
[ROW][C]5[/C][C]0.505633[/C][C]3.9491[/C][C]0.000103[/C][/ROW]
[ROW][C]6[/C][C]0.525751[/C][C]4.1062[/C][C]6.1e-05[/C][/ROW]
[ROW][C]7[/C][C]0.49174[/C][C]3.8406[/C][C]0.000147[/C][/ROW]
[ROW][C]8[/C][C]0.428384[/C][C]3.3458[/C][C]0.000704[/C][/ROW]
[ROW][C]9[/C][C]0.377418[/C][C]2.9477[/C][C]0.002265[/C][/ROW]
[ROW][C]10[/C][C]0.362439[/C][C]2.8307[/C][C]0.00314[/C][/ROW]
[ROW][C]11[/C][C]0.356341[/C][C]2.7831[/C][C]0.003579[/C][/ROW]
[ROW][C]12[/C][C]0.332892[/C][C]2.6[/C][C]0.005839[/C][/ROW]
[ROW][C]13[/C][C]0.242088[/C][C]1.8908[/C][C]0.031704[/C][/ROW]
[ROW][C]14[/C][C]0.152835[/C][C]1.1937[/C][C]0.118612[/C][/ROW]
[ROW][C]15[/C][C]0.089081[/C][C]0.6957[/C][C]0.244616[/C][/ROW]
[ROW][C]16[/C][C]0.048313[/C][C]0.3773[/C][C]0.353617[/C][/ROW]
[ROW][C]17[/C][C]0.042044[/C][C]0.3284[/C][C]0.371877[/C][/ROW]
[ROW][C]18[/C][C]0.040992[/C][C]0.3202[/C][C]0.374972[/C][/ROW]
[ROW][C]19[/C][C]0.004135[/C][C]0.0323[/C][C]0.487171[/C][/ROW]
[ROW][C]20[/C][C]-0.04554[/C][C]-0.3557[/C][C]0.361654[/C][/ROW]
[ROW][C]21[/C][C]-0.087314[/C][C]-0.6819[/C][C]0.248928[/C][/ROW]
[ROW][C]22[/C][C]-0.108496[/C][C]-0.8474[/C][C]0.200047[/C][/ROW]
[ROW][C]23[/C][C]-0.120208[/C][C]-0.9389[/C][C]0.175755[/C][/ROW]
[ROW][C]24[/C][C]-0.132336[/C][C]-1.0336[/C][C]0.152707[/C][/ROW]
[ROW][C]25[/C][C]-0.163377[/C][C]-1.276[/C][C]0.103393[/C][/ROW]
[ROW][C]26[/C][C]-0.194066[/C][C]-1.5157[/C][C]0.06738[/C][/ROW]
[ROW][C]27[/C][C]-0.213079[/C][C]-1.6642[/C][C]0.050601[/C][/ROW]
[ROW][C]28[/C][C]-0.221615[/C][C]-1.7309[/C][C]0.044265[/C][/ROW]
[ROW][C]29[/C][C]-0.224037[/C][C]-1.7498[/C][C]0.042592[/C][/ROW]
[ROW][C]30[/C][C]-0.227292[/C][C]-1.7752[/C][C]0.040426[/C][/ROW]
[ROW][C]31[/C][C]-0.24342[/C][C]-1.9012[/C][C]0.031003[/C][/ROW]
[ROW][C]32[/C][C]-0.268529[/C][C]-2.0973[/C][C]0.020061[/C][/ROW]
[ROW][C]33[/C][C]-0.278434[/C][C]-2.1746[/C][C]0.016772[/C][/ROW]
[ROW][C]34[/C][C]-0.2732[/C][C]-2.1338[/C][C]0.018446[/C][/ROW]
[ROW][C]35[/C][C]-0.259285[/C][C]-2.0251[/C][C]0.023621[/C][/ROW]
[ROW][C]36[/C][C]-0.239383[/C][C]-1.8696[/C][C]0.033168[/C][/ROW]
[ROW][C]37[/C][C]-0.23091[/C][C]-1.8035[/C][C]0.038127[/C][/ROW]
[ROW][C]38[/C][C]-0.224478[/C][C]-1.7532[/C][C]0.042293[/C][/ROW]
[ROW][C]39[/C][C]-0.208649[/C][C]-1.6296[/C][C]0.05417[/C][/ROW]
[ROW][C]40[/C][C]-0.204985[/C][C]-1.601[/C][C]0.057273[/C][/ROW]
[ROW][C]41[/C][C]-0.208742[/C][C]-1.6303[/C][C]0.054093[/C][/ROW]
[ROW][C]42[/C][C]-0.231475[/C][C]-1.8079[/C][C]0.037778[/C][/ROW]
[ROW][C]43[/C][C]-0.25995[/C][C]-2.0303[/C][C]0.023348[/C][/ROW]
[ROW][C]44[/C][C]-0.286746[/C][C]-2.2396[/C][C]0.014388[/C][/ROW]
[ROW][C]45[/C][C]-0.277748[/C][C]-2.1693[/C][C]0.016984[/C][/ROW]
[ROW][C]46[/C][C]-0.234698[/C][C]-1.8331[/C][C]0.035838[/C][/ROW]
[ROW][C]47[/C][C]-0.186794[/C][C]-1.4589[/C][C]0.07486[/C][/ROW]
[ROW][C]48[/C][C]-0.139543[/C][C]-1.0899[/C][C]0.140029[/C][/ROW]
[ROW][C]49[/C][C]-0.107912[/C][C]-0.8428[/C][C]0.201311[/C][/ROW]
[ROW][C]50[/C][C]-0.096338[/C][C]-0.7524[/C][C]0.227346[/C][/ROW]
[ROW][C]51[/C][C]-0.096448[/C][C]-0.7533[/C][C]0.227089[/C][/ROW]
[ROW][C]52[/C][C]-0.125796[/C][C]-0.9825[/C][C]0.164867[/C][/ROW]
[ROW][C]53[/C][C]-0.151616[/C][C]-1.1842[/C][C]0.120471[/C][/ROW]
[ROW][C]54[/C][C]-0.16109[/C][C]-1.2582[/C][C]0.106566[/C][/ROW]
[ROW][C]55[/C][C]-0.145408[/C][C]-1.1357[/C][C]0.130268[/C][/ROW]
[ROW][C]56[/C][C]-0.114513[/C][C]-0.8944[/C][C]0.187318[/C][/ROW]
[ROW][C]57[/C][C]-0.074584[/C][C]-0.5825[/C][C]0.281183[/C][/ROW]
[ROW][C]58[/C][C]-0.044479[/C][C]-0.3474[/C][C]0.364746[/C][/ROW]
[ROW][C]59[/C][C]-0.029214[/C][C]-0.2282[/C][C]0.410138[/C][/ROW]
[ROW][C]60[/C][C]-0.015265[/C][C]-0.1192[/C][C]0.452746[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34437&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34437&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
10.8865446.92410
20.708315.53210
30.564024.40512.2e-05
40.4980333.88980.000125
50.5056333.94910.000103
60.5257514.10626.1e-05
70.491743.84060.000147
80.4283843.34580.000704
90.3774182.94770.002265
100.3624392.83070.00314
110.3563412.78310.003579
120.3328922.60.005839
130.2420881.89080.031704
140.1528351.19370.118612
150.0890810.69570.244616
160.0483130.37730.353617
170.0420440.32840.371877
180.0409920.32020.374972
190.0041350.03230.487171
20-0.04554-0.35570.361654
21-0.087314-0.68190.248928
22-0.108496-0.84740.200047
23-0.120208-0.93890.175755
24-0.132336-1.03360.152707
25-0.163377-1.2760.103393
26-0.194066-1.51570.06738
27-0.213079-1.66420.050601
28-0.221615-1.73090.044265
29-0.224037-1.74980.042592
30-0.227292-1.77520.040426
31-0.24342-1.90120.031003
32-0.268529-2.09730.020061
33-0.278434-2.17460.016772
34-0.2732-2.13380.018446
35-0.259285-2.02510.023621
36-0.239383-1.86960.033168
37-0.23091-1.80350.038127
38-0.224478-1.75320.042293
39-0.208649-1.62960.05417
40-0.204985-1.6010.057273
41-0.208742-1.63030.054093
42-0.231475-1.80790.037778
43-0.25995-2.03030.023348
44-0.286746-2.23960.014388
45-0.277748-2.16930.016984
46-0.234698-1.83310.035838
47-0.186794-1.45890.07486
48-0.139543-1.08990.140029
49-0.107912-0.84280.201311
50-0.096338-0.75240.227346
51-0.096448-0.75330.227089
52-0.125796-0.98250.164867
53-0.151616-1.18420.120471
54-0.16109-1.25820.106566
55-0.145408-1.13570.130268
56-0.114513-0.89440.187318
57-0.074584-0.58250.281183
58-0.044479-0.34740.364746
59-0.029214-0.22820.410138
60-0.015265-0.11920.452746







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8865446.92410
2-0.362782-2.83340.003117
30.1607941.25580.106981
40.1972431.54050.064303
50.1785411.39440.08412
6-0.015801-0.12340.451094
7-0.1571-1.2270.11227
80.0930160.72650.235163
90.0872420.68140.249103
100.0492740.38480.350847
11-0.122856-0.95950.170538
12-0.049078-0.38330.351411
13-0.254515-1.98780.025662
140.1756521.37190.087562
15-0.119242-0.93130.177682
16-0.128392-1.00280.159966
170.0798290.62350.267644
18-0.010715-0.08370.466788
19-0.075007-0.58580.280078
20-0.035862-0.28010.390177
210.0052580.04110.483688
220.0159480.12460.45064
23-0.026895-0.21010.417163
24-0.052602-0.41080.341318
250.0169870.13270.447444
26-0.007068-0.05520.478078
27-6e-04-0.00470.498138
28-0.023467-0.18330.427591
29-0.086091-0.67240.251936
300.0344570.26910.394373
310.0133470.10420.458659
32-0.130908-1.02240.155308
330.0677450.52910.299326
34-0.010341-0.08080.467947
350.0153690.120.452423
360.0144670.1130.455203
37-0.047734-0.37280.355289
380.0703320.54930.292398
390.0479880.37480.354556
40-0.160283-1.25180.107702
410.0074990.05860.476742
42-0.134748-1.05240.148379
430.0112310.08770.465195
44-0.069364-0.54170.294983
450.0148790.11620.453933
460.0787090.61470.270507
470.0045910.03590.485758
480.0679680.53080.298727
490.0263860.20610.418707
500.0036880.02880.488558
51-0.091056-0.71120.239844
52-0.097661-0.76280.224275
53-0.004903-0.03830.48479
540.0500510.39090.348613
550.0136930.10690.45759
56-0.057517-0.44920.327432
570.0257770.20130.420557
58-0.001029-0.0080.496807
590.0509730.39810.345968
60-0.017569-0.13720.445654

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.886544 & 6.9241 & 0 \tabularnewline
2 & -0.362782 & -2.8334 & 0.003117 \tabularnewline
3 & 0.160794 & 1.2558 & 0.106981 \tabularnewline
4 & 0.197243 & 1.5405 & 0.064303 \tabularnewline
5 & 0.178541 & 1.3944 & 0.08412 \tabularnewline
6 & -0.015801 & -0.1234 & 0.451094 \tabularnewline
7 & -0.1571 & -1.227 & 0.11227 \tabularnewline
8 & 0.093016 & 0.7265 & 0.235163 \tabularnewline
9 & 0.087242 & 0.6814 & 0.249103 \tabularnewline
10 & 0.049274 & 0.3848 & 0.350847 \tabularnewline
11 & -0.122856 & -0.9595 & 0.170538 \tabularnewline
12 & -0.049078 & -0.3833 & 0.351411 \tabularnewline
13 & -0.254515 & -1.9878 & 0.025662 \tabularnewline
14 & 0.175652 & 1.3719 & 0.087562 \tabularnewline
15 & -0.119242 & -0.9313 & 0.177682 \tabularnewline
16 & -0.128392 & -1.0028 & 0.159966 \tabularnewline
17 & 0.079829 & 0.6235 & 0.267644 \tabularnewline
18 & -0.010715 & -0.0837 & 0.466788 \tabularnewline
19 & -0.075007 & -0.5858 & 0.280078 \tabularnewline
20 & -0.035862 & -0.2801 & 0.390177 \tabularnewline
21 & 0.005258 & 0.0411 & 0.483688 \tabularnewline
22 & 0.015948 & 0.1246 & 0.45064 \tabularnewline
23 & -0.026895 & -0.2101 & 0.417163 \tabularnewline
24 & -0.052602 & -0.4108 & 0.341318 \tabularnewline
25 & 0.016987 & 0.1327 & 0.447444 \tabularnewline
26 & -0.007068 & -0.0552 & 0.478078 \tabularnewline
27 & -6e-04 & -0.0047 & 0.498138 \tabularnewline
28 & -0.023467 & -0.1833 & 0.427591 \tabularnewline
29 & -0.086091 & -0.6724 & 0.251936 \tabularnewline
30 & 0.034457 & 0.2691 & 0.394373 \tabularnewline
31 & 0.013347 & 0.1042 & 0.458659 \tabularnewline
32 & -0.130908 & -1.0224 & 0.155308 \tabularnewline
33 & 0.067745 & 0.5291 & 0.299326 \tabularnewline
34 & -0.010341 & -0.0808 & 0.467947 \tabularnewline
35 & 0.015369 & 0.12 & 0.452423 \tabularnewline
36 & 0.014467 & 0.113 & 0.455203 \tabularnewline
37 & -0.047734 & -0.3728 & 0.355289 \tabularnewline
38 & 0.070332 & 0.5493 & 0.292398 \tabularnewline
39 & 0.047988 & 0.3748 & 0.354556 \tabularnewline
40 & -0.160283 & -1.2518 & 0.107702 \tabularnewline
41 & 0.007499 & 0.0586 & 0.476742 \tabularnewline
42 & -0.134748 & -1.0524 & 0.148379 \tabularnewline
43 & 0.011231 & 0.0877 & 0.465195 \tabularnewline
44 & -0.069364 & -0.5417 & 0.294983 \tabularnewline
45 & 0.014879 & 0.1162 & 0.453933 \tabularnewline
46 & 0.078709 & 0.6147 & 0.270507 \tabularnewline
47 & 0.004591 & 0.0359 & 0.485758 \tabularnewline
48 & 0.067968 & 0.5308 & 0.298727 \tabularnewline
49 & 0.026386 & 0.2061 & 0.418707 \tabularnewline
50 & 0.003688 & 0.0288 & 0.488558 \tabularnewline
51 & -0.091056 & -0.7112 & 0.239844 \tabularnewline
52 & -0.097661 & -0.7628 & 0.224275 \tabularnewline
53 & -0.004903 & -0.0383 & 0.48479 \tabularnewline
54 & 0.050051 & 0.3909 & 0.348613 \tabularnewline
55 & 0.013693 & 0.1069 & 0.45759 \tabularnewline
56 & -0.057517 & -0.4492 & 0.327432 \tabularnewline
57 & 0.025777 & 0.2013 & 0.420557 \tabularnewline
58 & -0.001029 & -0.008 & 0.496807 \tabularnewline
59 & 0.050973 & 0.3981 & 0.345968 \tabularnewline
60 & -0.017569 & -0.1372 & 0.445654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34437&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]0.886544[/C][C]6.9241[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.362782[/C][C]-2.8334[/C][C]0.003117[/C][/ROW]
[ROW][C]3[/C][C]0.160794[/C][C]1.2558[/C][C]0.106981[/C][/ROW]
[ROW][C]4[/C][C]0.197243[/C][C]1.5405[/C][C]0.064303[/C][/ROW]
[ROW][C]5[/C][C]0.178541[/C][C]1.3944[/C][C]0.08412[/C][/ROW]
[ROW][C]6[/C][C]-0.015801[/C][C]-0.1234[/C][C]0.451094[/C][/ROW]
[ROW][C]7[/C][C]-0.1571[/C][C]-1.227[/C][C]0.11227[/C][/ROW]
[ROW][C]8[/C][C]0.093016[/C][C]0.7265[/C][C]0.235163[/C][/ROW]
[ROW][C]9[/C][C]0.087242[/C][C]0.6814[/C][C]0.249103[/C][/ROW]
[ROW][C]10[/C][C]0.049274[/C][C]0.3848[/C][C]0.350847[/C][/ROW]
[ROW][C]11[/C][C]-0.122856[/C][C]-0.9595[/C][C]0.170538[/C][/ROW]
[ROW][C]12[/C][C]-0.049078[/C][C]-0.3833[/C][C]0.351411[/C][/ROW]
[ROW][C]13[/C][C]-0.254515[/C][C]-1.9878[/C][C]0.025662[/C][/ROW]
[ROW][C]14[/C][C]0.175652[/C][C]1.3719[/C][C]0.087562[/C][/ROW]
[ROW][C]15[/C][C]-0.119242[/C][C]-0.9313[/C][C]0.177682[/C][/ROW]
[ROW][C]16[/C][C]-0.128392[/C][C]-1.0028[/C][C]0.159966[/C][/ROW]
[ROW][C]17[/C][C]0.079829[/C][C]0.6235[/C][C]0.267644[/C][/ROW]
[ROW][C]18[/C][C]-0.010715[/C][C]-0.0837[/C][C]0.466788[/C][/ROW]
[ROW][C]19[/C][C]-0.075007[/C][C]-0.5858[/C][C]0.280078[/C][/ROW]
[ROW][C]20[/C][C]-0.035862[/C][C]-0.2801[/C][C]0.390177[/C][/ROW]
[ROW][C]21[/C][C]0.005258[/C][C]0.0411[/C][C]0.483688[/C][/ROW]
[ROW][C]22[/C][C]0.015948[/C][C]0.1246[/C][C]0.45064[/C][/ROW]
[ROW][C]23[/C][C]-0.026895[/C][C]-0.2101[/C][C]0.417163[/C][/ROW]
[ROW][C]24[/C][C]-0.052602[/C][C]-0.4108[/C][C]0.341318[/C][/ROW]
[ROW][C]25[/C][C]0.016987[/C][C]0.1327[/C][C]0.447444[/C][/ROW]
[ROW][C]26[/C][C]-0.007068[/C][C]-0.0552[/C][C]0.478078[/C][/ROW]
[ROW][C]27[/C][C]-6e-04[/C][C]-0.0047[/C][C]0.498138[/C][/ROW]
[ROW][C]28[/C][C]-0.023467[/C][C]-0.1833[/C][C]0.427591[/C][/ROW]
[ROW][C]29[/C][C]-0.086091[/C][C]-0.6724[/C][C]0.251936[/C][/ROW]
[ROW][C]30[/C][C]0.034457[/C][C]0.2691[/C][C]0.394373[/C][/ROW]
[ROW][C]31[/C][C]0.013347[/C][C]0.1042[/C][C]0.458659[/C][/ROW]
[ROW][C]32[/C][C]-0.130908[/C][C]-1.0224[/C][C]0.155308[/C][/ROW]
[ROW][C]33[/C][C]0.067745[/C][C]0.5291[/C][C]0.299326[/C][/ROW]
[ROW][C]34[/C][C]-0.010341[/C][C]-0.0808[/C][C]0.467947[/C][/ROW]
[ROW][C]35[/C][C]0.015369[/C][C]0.12[/C][C]0.452423[/C][/ROW]
[ROW][C]36[/C][C]0.014467[/C][C]0.113[/C][C]0.455203[/C][/ROW]
[ROW][C]37[/C][C]-0.047734[/C][C]-0.3728[/C][C]0.355289[/C][/ROW]
[ROW][C]38[/C][C]0.070332[/C][C]0.5493[/C][C]0.292398[/C][/ROW]
[ROW][C]39[/C][C]0.047988[/C][C]0.3748[/C][C]0.354556[/C][/ROW]
[ROW][C]40[/C][C]-0.160283[/C][C]-1.2518[/C][C]0.107702[/C][/ROW]
[ROW][C]41[/C][C]0.007499[/C][C]0.0586[/C][C]0.476742[/C][/ROW]
[ROW][C]42[/C][C]-0.134748[/C][C]-1.0524[/C][C]0.148379[/C][/ROW]
[ROW][C]43[/C][C]0.011231[/C][C]0.0877[/C][C]0.465195[/C][/ROW]
[ROW][C]44[/C][C]-0.069364[/C][C]-0.5417[/C][C]0.294983[/C][/ROW]
[ROW][C]45[/C][C]0.014879[/C][C]0.1162[/C][C]0.453933[/C][/ROW]
[ROW][C]46[/C][C]0.078709[/C][C]0.6147[/C][C]0.270507[/C][/ROW]
[ROW][C]47[/C][C]0.004591[/C][C]0.0359[/C][C]0.485758[/C][/ROW]
[ROW][C]48[/C][C]0.067968[/C][C]0.5308[/C][C]0.298727[/C][/ROW]
[ROW][C]49[/C][C]0.026386[/C][C]0.2061[/C][C]0.418707[/C][/ROW]
[ROW][C]50[/C][C]0.003688[/C][C]0.0288[/C][C]0.488558[/C][/ROW]
[ROW][C]51[/C][C]-0.091056[/C][C]-0.7112[/C][C]0.239844[/C][/ROW]
[ROW][C]52[/C][C]-0.097661[/C][C]-0.7628[/C][C]0.224275[/C][/ROW]
[ROW][C]53[/C][C]-0.004903[/C][C]-0.0383[/C][C]0.48479[/C][/ROW]
[ROW][C]54[/C][C]0.050051[/C][C]0.3909[/C][C]0.348613[/C][/ROW]
[ROW][C]55[/C][C]0.013693[/C][C]0.1069[/C][C]0.45759[/C][/ROW]
[ROW][C]56[/C][C]-0.057517[/C][C]-0.4492[/C][C]0.327432[/C][/ROW]
[ROW][C]57[/C][C]0.025777[/C][C]0.2013[/C][C]0.420557[/C][/ROW]
[ROW][C]58[/C][C]-0.001029[/C][C]-0.008[/C][C]0.496807[/C][/ROW]
[ROW][C]59[/C][C]0.050973[/C][C]0.3981[/C][C]0.345968[/C][/ROW]
[ROW][C]60[/C][C]-0.017569[/C][C]-0.1372[/C][C]0.445654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34437&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34437&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
10.8865446.92410
2-0.362782-2.83340.003117
30.1607941.25580.106981
40.1972431.54050.064303
50.1785411.39440.08412
6-0.015801-0.12340.451094
7-0.1571-1.2270.11227
80.0930160.72650.235163
90.0872420.68140.249103
100.0492740.38480.350847
11-0.122856-0.95950.170538
12-0.049078-0.38330.351411
13-0.254515-1.98780.025662
140.1756521.37190.087562
15-0.119242-0.93130.177682
16-0.128392-1.00280.159966
170.0798290.62350.267644
18-0.010715-0.08370.466788
19-0.075007-0.58580.280078
20-0.035862-0.28010.390177
210.0052580.04110.483688
220.0159480.12460.45064
23-0.026895-0.21010.417163
24-0.052602-0.41080.341318
250.0169870.13270.447444
26-0.007068-0.05520.478078
27-6e-04-0.00470.498138
28-0.023467-0.18330.427591
29-0.086091-0.67240.251936
300.0344570.26910.394373
310.0133470.10420.458659
32-0.130908-1.02240.155308
330.0677450.52910.299326
34-0.010341-0.08080.467947
350.0153690.120.452423
360.0144670.1130.455203
37-0.047734-0.37280.355289
380.0703320.54930.292398
390.0479880.37480.354556
40-0.160283-1.25180.107702
410.0074990.05860.476742
42-0.134748-1.05240.148379
430.0112310.08770.465195
44-0.069364-0.54170.294983
450.0148790.11620.453933
460.0787090.61470.270507
470.0045910.03590.485758
480.0679680.53080.298727
490.0263860.20610.418707
500.0036880.02880.488558
51-0.091056-0.71120.239844
52-0.097661-0.76280.224275
53-0.004903-0.03830.48479
540.0500510.39090.348613
550.0136930.10690.45759
56-0.057517-0.44920.327432
570.0257770.20130.420557
58-0.001029-0.0080.496807
590.0509730.39810.345968
60-0.017569-0.13720.445654



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')