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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 07 Dec 2007 06:28:53 -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/07/t1197033381jtab21w7pxknka7.htm/, Retrieved Mon, 29 Apr 2024 00:05:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2813, Retrieved Mon, 29 Apr 2024 00:05:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-07 13:28:53] [40a229849a2b804e343854d9b3fa1a24] [Current]
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Dataseries X:
106.22
106.31
107.38
109.31
110.82
111.22
110.66
110.76
110.69
111.08
110.97
110.24
112.51
111.52
112.13
112.23
112.92
111.89
111.99
111.51
112.33
112.04
112.09
111.41
112.61
113.14
113.65
114.26
114.4
114.93
114.86
114.95
116.17
114.6
114.62
113.82
115.02
115.18
115.59
116.6
117.07
116.96
116.66
116.07
116.04
115.81
116.22
115.85
116.43
117.39
119.17
119.24
120.03
119.34
118.49
118.59
117.5
117.56
118.25
118.01




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=2813&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=2813&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2813&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
017.68110
1-0.06648-0.51060.694245
20.2090241.60550.056857
3-0.172771-1.32710.905202
4-0.035877-0.27560.608081
5-0.187285-1.43860.922221
6-0.145153-1.11490.865301
7-0.190534-1.46350.925683
80.0722640.55510.290473
9-0.048572-0.37310.64479
100.1517771.16580.124189
11-0.016613-0.12760.550553
120.295462.26950.013455
13-0.029359-0.22550.588819
140.0189950.14590.442248
15-0.180763-1.38850.914892
160.0095460.07330.470897
17-0.165903-1.27430.896227
18-0.011639-0.08940.535468
19-0.174197-1.3380.906989
200.1537541.1810.12117
21-0.056038-0.43040.665775
220.1345841.03380.152734
230.0258060.19820.421777
240.1619411.24390.109229
250.0254290.19530.422905
260.0718570.55190.291536
27-0.028846-0.22160.587294
280.0251810.19340.423649
29-0.110328-0.84740.799914
30-0.084497-0.6490.740583
31-0.167347-1.28540.898166
32-0.023767-0.18260.572114
33-0.049712-0.38180.648027
340.1267160.97330.167183
35-0.000758-0.00580.502314
360.1297840.99690.161444
370.0668520.51350.304759
380.0625460.48040.316352
39-0.107521-0.82590.793901
40-0.026458-0.20320.580171
41-0.078387-0.60210.725294
42-0.077094-0.59220.722001
430.0299870.23030.409315
44-0.100757-0.77390.778968
450.0497660.38230.351822
460.1665131.2790.10295
470.0737410.56640.28663

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & -0.06648 & -0.5106 & 0.694245 \tabularnewline
2 & 0.209024 & 1.6055 & 0.056857 \tabularnewline
3 & -0.172771 & -1.3271 & 0.905202 \tabularnewline
4 & -0.035877 & -0.2756 & 0.608081 \tabularnewline
5 & -0.187285 & -1.4386 & 0.922221 \tabularnewline
6 & -0.145153 & -1.1149 & 0.865301 \tabularnewline
7 & -0.190534 & -1.4635 & 0.925683 \tabularnewline
8 & 0.072264 & 0.5551 & 0.290473 \tabularnewline
9 & -0.048572 & -0.3731 & 0.64479 \tabularnewline
10 & 0.151777 & 1.1658 & 0.124189 \tabularnewline
11 & -0.016613 & -0.1276 & 0.550553 \tabularnewline
12 & 0.29546 & 2.2695 & 0.013455 \tabularnewline
13 & -0.029359 & -0.2255 & 0.588819 \tabularnewline
14 & 0.018995 & 0.1459 & 0.442248 \tabularnewline
15 & -0.180763 & -1.3885 & 0.914892 \tabularnewline
16 & 0.009546 & 0.0733 & 0.470897 \tabularnewline
17 & -0.165903 & -1.2743 & 0.896227 \tabularnewline
18 & -0.011639 & -0.0894 & 0.535468 \tabularnewline
19 & -0.174197 & -1.338 & 0.906989 \tabularnewline
20 & 0.153754 & 1.181 & 0.12117 \tabularnewline
21 & -0.056038 & -0.4304 & 0.665775 \tabularnewline
22 & 0.134584 & 1.0338 & 0.152734 \tabularnewline
23 & 0.025806 & 0.1982 & 0.421777 \tabularnewline
24 & 0.161941 & 1.2439 & 0.109229 \tabularnewline
25 & 0.025429 & 0.1953 & 0.422905 \tabularnewline
26 & 0.071857 & 0.5519 & 0.291536 \tabularnewline
27 & -0.028846 & -0.2216 & 0.587294 \tabularnewline
28 & 0.025181 & 0.1934 & 0.423649 \tabularnewline
29 & -0.110328 & -0.8474 & 0.799914 \tabularnewline
30 & -0.084497 & -0.649 & 0.740583 \tabularnewline
31 & -0.167347 & -1.2854 & 0.898166 \tabularnewline
32 & -0.023767 & -0.1826 & 0.572114 \tabularnewline
33 & -0.049712 & -0.3818 & 0.648027 \tabularnewline
34 & 0.126716 & 0.9733 & 0.167183 \tabularnewline
35 & -0.000758 & -0.0058 & 0.502314 \tabularnewline
36 & 0.129784 & 0.9969 & 0.161444 \tabularnewline
37 & 0.066852 & 0.5135 & 0.304759 \tabularnewline
38 & 0.062546 & 0.4804 & 0.316352 \tabularnewline
39 & -0.107521 & -0.8259 & 0.793901 \tabularnewline
40 & -0.026458 & -0.2032 & 0.580171 \tabularnewline
41 & -0.078387 & -0.6021 & 0.725294 \tabularnewline
42 & -0.077094 & -0.5922 & 0.722001 \tabularnewline
43 & 0.029987 & 0.2303 & 0.409315 \tabularnewline
44 & -0.100757 & -0.7739 & 0.778968 \tabularnewline
45 & 0.049766 & 0.3823 & 0.351822 \tabularnewline
46 & 0.166513 & 1.279 & 0.10295 \tabularnewline
47 & 0.073741 & 0.5664 & 0.28663 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2813&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.06648[/C][C]-0.5106[/C][C]0.694245[/C][/ROW]
[ROW][C]2[/C][C]0.209024[/C][C]1.6055[/C][C]0.056857[/C][/ROW]
[ROW][C]3[/C][C]-0.172771[/C][C]-1.3271[/C][C]0.905202[/C][/ROW]
[ROW][C]4[/C][C]-0.035877[/C][C]-0.2756[/C][C]0.608081[/C][/ROW]
[ROW][C]5[/C][C]-0.187285[/C][C]-1.4386[/C][C]0.922221[/C][/ROW]
[ROW][C]6[/C][C]-0.145153[/C][C]-1.1149[/C][C]0.865301[/C][/ROW]
[ROW][C]7[/C][C]-0.190534[/C][C]-1.4635[/C][C]0.925683[/C][/ROW]
[ROW][C]8[/C][C]0.072264[/C][C]0.5551[/C][C]0.290473[/C][/ROW]
[ROW][C]9[/C][C]-0.048572[/C][C]-0.3731[/C][C]0.64479[/C][/ROW]
[ROW][C]10[/C][C]0.151777[/C][C]1.1658[/C][C]0.124189[/C][/ROW]
[ROW][C]11[/C][C]-0.016613[/C][C]-0.1276[/C][C]0.550553[/C][/ROW]
[ROW][C]12[/C][C]0.29546[/C][C]2.2695[/C][C]0.013455[/C][/ROW]
[ROW][C]13[/C][C]-0.029359[/C][C]-0.2255[/C][C]0.588819[/C][/ROW]
[ROW][C]14[/C][C]0.018995[/C][C]0.1459[/C][C]0.442248[/C][/ROW]
[ROW][C]15[/C][C]-0.180763[/C][C]-1.3885[/C][C]0.914892[/C][/ROW]
[ROW][C]16[/C][C]0.009546[/C][C]0.0733[/C][C]0.470897[/C][/ROW]
[ROW][C]17[/C][C]-0.165903[/C][C]-1.2743[/C][C]0.896227[/C][/ROW]
[ROW][C]18[/C][C]-0.011639[/C][C]-0.0894[/C][C]0.535468[/C][/ROW]
[ROW][C]19[/C][C]-0.174197[/C][C]-1.338[/C][C]0.906989[/C][/ROW]
[ROW][C]20[/C][C]0.153754[/C][C]1.181[/C][C]0.12117[/C][/ROW]
[ROW][C]21[/C][C]-0.056038[/C][C]-0.4304[/C][C]0.665775[/C][/ROW]
[ROW][C]22[/C][C]0.134584[/C][C]1.0338[/C][C]0.152734[/C][/ROW]
[ROW][C]23[/C][C]0.025806[/C][C]0.1982[/C][C]0.421777[/C][/ROW]
[ROW][C]24[/C][C]0.161941[/C][C]1.2439[/C][C]0.109229[/C][/ROW]
[ROW][C]25[/C][C]0.025429[/C][C]0.1953[/C][C]0.422905[/C][/ROW]
[ROW][C]26[/C][C]0.071857[/C][C]0.5519[/C][C]0.291536[/C][/ROW]
[ROW][C]27[/C][C]-0.028846[/C][C]-0.2216[/C][C]0.587294[/C][/ROW]
[ROW][C]28[/C][C]0.025181[/C][C]0.1934[/C][C]0.423649[/C][/ROW]
[ROW][C]29[/C][C]-0.110328[/C][C]-0.8474[/C][C]0.799914[/C][/ROW]
[ROW][C]30[/C][C]-0.084497[/C][C]-0.649[/C][C]0.740583[/C][/ROW]
[ROW][C]31[/C][C]-0.167347[/C][C]-1.2854[/C][C]0.898166[/C][/ROW]
[ROW][C]32[/C][C]-0.023767[/C][C]-0.1826[/C][C]0.572114[/C][/ROW]
[ROW][C]33[/C][C]-0.049712[/C][C]-0.3818[/C][C]0.648027[/C][/ROW]
[ROW][C]34[/C][C]0.126716[/C][C]0.9733[/C][C]0.167183[/C][/ROW]
[ROW][C]35[/C][C]-0.000758[/C][C]-0.0058[/C][C]0.502314[/C][/ROW]
[ROW][C]36[/C][C]0.129784[/C][C]0.9969[/C][C]0.161444[/C][/ROW]
[ROW][C]37[/C][C]0.066852[/C][C]0.5135[/C][C]0.304759[/C][/ROW]
[ROW][C]38[/C][C]0.062546[/C][C]0.4804[/C][C]0.316352[/C][/ROW]
[ROW][C]39[/C][C]-0.107521[/C][C]-0.8259[/C][C]0.793901[/C][/ROW]
[ROW][C]40[/C][C]-0.026458[/C][C]-0.2032[/C][C]0.580171[/C][/ROW]
[ROW][C]41[/C][C]-0.078387[/C][C]-0.6021[/C][C]0.725294[/C][/ROW]
[ROW][C]42[/C][C]-0.077094[/C][C]-0.5922[/C][C]0.722001[/C][/ROW]
[ROW][C]43[/C][C]0.029987[/C][C]0.2303[/C][C]0.409315[/C][/ROW]
[ROW][C]44[/C][C]-0.100757[/C][C]-0.7739[/C][C]0.778968[/C][/ROW]
[ROW][C]45[/C][C]0.049766[/C][C]0.3823[/C][C]0.351822[/C][/ROW]
[ROW][C]46[/C][C]0.166513[/C][C]1.279[/C][C]0.10295[/C][/ROW]
[ROW][C]47[/C][C]0.073741[/C][C]0.5664[/C][C]0.28663[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2813&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2813&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
017.68110
1-0.06648-0.51060.694245
20.2090241.60550.056857
3-0.172771-1.32710.905202
4-0.035877-0.27560.608081
5-0.187285-1.43860.922221
6-0.145153-1.11490.865301
7-0.190534-1.46350.925683
80.0722640.55510.290473
9-0.048572-0.37310.64479
100.1517771.16580.124189
11-0.016613-0.12760.550553
120.295462.26950.013455
13-0.029359-0.22550.588819
140.0189950.14590.442248
15-0.180763-1.38850.914892
160.0095460.07330.470897
17-0.165903-1.27430.896227
18-0.011639-0.08940.535468
19-0.174197-1.3380.906989
200.1537541.1810.12117
21-0.056038-0.43040.665775
220.1345841.03380.152734
230.0258060.19820.421777
240.1619411.24390.109229
250.0254290.19530.422905
260.0718570.55190.291536
27-0.028846-0.22160.587294
280.0251810.19340.423649
29-0.110328-0.84740.799914
30-0.084497-0.6490.740583
31-0.167347-1.28540.898166
32-0.023767-0.18260.572114
33-0.049712-0.38180.648027
340.1267160.97330.167183
35-0.000758-0.00580.502314
360.1297840.99690.161444
370.0668520.51350.304759
380.0625460.48040.316352
39-0.107521-0.82590.793901
40-0.026458-0.20320.580171
41-0.078387-0.60210.725294
42-0.077094-0.59220.722001
430.0299870.23030.409315
44-0.100757-0.77390.778968
450.0497660.38230.351822
460.1665131.2790.10295
470.0737410.56640.28663







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.06648-0.51060.694245
10.2055131.57860.059891
2-0.155284-1.19280.881131
3-0.097851-0.75160.772363
4-0.135385-1.03990.848687
5-0.173562-1.33320.906197
6-0.18986-1.45830.924975
70.0559510.42980.334464
8-0.055021-0.42260.662948
90.0220770.16960.432963
10-0.047363-0.36380.641346
110.2065181.58630.059009
12-0.00614-0.04720.518728
13-0.093523-0.71840.762315
14-0.100868-0.77480.779218
150.0438980.33720.368586
16-0.0713-0.54770.707007
17-0.028238-0.21690.585482
18-0.108436-0.83290.795873
190.0498060.38260.351708
20-0.069765-0.53590.70297
21-0.02969-0.22810.589803
220.0584990.44930.327416
230.0455760.35010.363765
240.0310920.23880.406035
250.0791120.60770.272868
260.131511.01010.158275
270.0271090.20820.417884
28-0.008499-0.06530.525914
29-0.066965-0.51440.695541
30-0.056986-0.43770.668404
31-0.103106-0.7920.784226
32-0.032548-0.250.598273
330.0682980.52460.30091
34-0.04217-0.32390.626425
35-0.059164-0.45440.674413
360.0770450.59180.278125
370.0226790.17420.431152
38-0.114737-0.88130.809137
39-0.02015-0.15480.561236
400.1036030.79580.214672
41-0.033602-0.25810.601387
420.1196560.91910.180893
43-0.085495-0.65670.743037
44-0.03716-0.28540.611844
450.1263890.97080.167802
460.0416460.31990.37509
47-0.019472-0.14960.559193

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.06648 & -0.5106 & 0.694245 \tabularnewline
1 & 0.205513 & 1.5786 & 0.059891 \tabularnewline
2 & -0.155284 & -1.1928 & 0.881131 \tabularnewline
3 & -0.097851 & -0.7516 & 0.772363 \tabularnewline
4 & -0.135385 & -1.0399 & 0.848687 \tabularnewline
5 & -0.173562 & -1.3332 & 0.906197 \tabularnewline
6 & -0.18986 & -1.4583 & 0.924975 \tabularnewline
7 & 0.055951 & 0.4298 & 0.334464 \tabularnewline
8 & -0.055021 & -0.4226 & 0.662948 \tabularnewline
9 & 0.022077 & 0.1696 & 0.432963 \tabularnewline
10 & -0.047363 & -0.3638 & 0.641346 \tabularnewline
11 & 0.206518 & 1.5863 & 0.059009 \tabularnewline
12 & -0.00614 & -0.0472 & 0.518728 \tabularnewline
13 & -0.093523 & -0.7184 & 0.762315 \tabularnewline
14 & -0.100868 & -0.7748 & 0.779218 \tabularnewline
15 & 0.043898 & 0.3372 & 0.368586 \tabularnewline
16 & -0.0713 & -0.5477 & 0.707007 \tabularnewline
17 & -0.028238 & -0.2169 & 0.585482 \tabularnewline
18 & -0.108436 & -0.8329 & 0.795873 \tabularnewline
19 & 0.049806 & 0.3826 & 0.351708 \tabularnewline
20 & -0.069765 & -0.5359 & 0.70297 \tabularnewline
21 & -0.02969 & -0.2281 & 0.589803 \tabularnewline
22 & 0.058499 & 0.4493 & 0.327416 \tabularnewline
23 & 0.045576 & 0.3501 & 0.363765 \tabularnewline
24 & 0.031092 & 0.2388 & 0.406035 \tabularnewline
25 & 0.079112 & 0.6077 & 0.272868 \tabularnewline
26 & 0.13151 & 1.0101 & 0.158275 \tabularnewline
27 & 0.027109 & 0.2082 & 0.417884 \tabularnewline
28 & -0.008499 & -0.0653 & 0.525914 \tabularnewline
29 & -0.066965 & -0.5144 & 0.695541 \tabularnewline
30 & -0.056986 & -0.4377 & 0.668404 \tabularnewline
31 & -0.103106 & -0.792 & 0.784226 \tabularnewline
32 & -0.032548 & -0.25 & 0.598273 \tabularnewline
33 & 0.068298 & 0.5246 & 0.30091 \tabularnewline
34 & -0.04217 & -0.3239 & 0.626425 \tabularnewline
35 & -0.059164 & -0.4544 & 0.674413 \tabularnewline
36 & 0.077045 & 0.5918 & 0.278125 \tabularnewline
37 & 0.022679 & 0.1742 & 0.431152 \tabularnewline
38 & -0.114737 & -0.8813 & 0.809137 \tabularnewline
39 & -0.02015 & -0.1548 & 0.561236 \tabularnewline
40 & 0.103603 & 0.7958 & 0.214672 \tabularnewline
41 & -0.033602 & -0.2581 & 0.601387 \tabularnewline
42 & 0.119656 & 0.9191 & 0.180893 \tabularnewline
43 & -0.085495 & -0.6567 & 0.743037 \tabularnewline
44 & -0.03716 & -0.2854 & 0.611844 \tabularnewline
45 & 0.126389 & 0.9708 & 0.167802 \tabularnewline
46 & 0.041646 & 0.3199 & 0.37509 \tabularnewline
47 & -0.019472 & -0.1496 & 0.559193 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2813&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]-0.06648[/C][C]-0.5106[/C][C]0.694245[/C][/ROW]
[ROW][C]1[/C][C]0.205513[/C][C]1.5786[/C][C]0.059891[/C][/ROW]
[ROW][C]2[/C][C]-0.155284[/C][C]-1.1928[/C][C]0.881131[/C][/ROW]
[ROW][C]3[/C][C]-0.097851[/C][C]-0.7516[/C][C]0.772363[/C][/ROW]
[ROW][C]4[/C][C]-0.135385[/C][C]-1.0399[/C][C]0.848687[/C][/ROW]
[ROW][C]5[/C][C]-0.173562[/C][C]-1.3332[/C][C]0.906197[/C][/ROW]
[ROW][C]6[/C][C]-0.18986[/C][C]-1.4583[/C][C]0.924975[/C][/ROW]
[ROW][C]7[/C][C]0.055951[/C][C]0.4298[/C][C]0.334464[/C][/ROW]
[ROW][C]8[/C][C]-0.055021[/C][C]-0.4226[/C][C]0.662948[/C][/ROW]
[ROW][C]9[/C][C]0.022077[/C][C]0.1696[/C][C]0.432963[/C][/ROW]
[ROW][C]10[/C][C]-0.047363[/C][C]-0.3638[/C][C]0.641346[/C][/ROW]
[ROW][C]11[/C][C]0.206518[/C][C]1.5863[/C][C]0.059009[/C][/ROW]
[ROW][C]12[/C][C]-0.00614[/C][C]-0.0472[/C][C]0.518728[/C][/ROW]
[ROW][C]13[/C][C]-0.093523[/C][C]-0.7184[/C][C]0.762315[/C][/ROW]
[ROW][C]14[/C][C]-0.100868[/C][C]-0.7748[/C][C]0.779218[/C][/ROW]
[ROW][C]15[/C][C]0.043898[/C][C]0.3372[/C][C]0.368586[/C][/ROW]
[ROW][C]16[/C][C]-0.0713[/C][C]-0.5477[/C][C]0.707007[/C][/ROW]
[ROW][C]17[/C][C]-0.028238[/C][C]-0.2169[/C][C]0.585482[/C][/ROW]
[ROW][C]18[/C][C]-0.108436[/C][C]-0.8329[/C][C]0.795873[/C][/ROW]
[ROW][C]19[/C][C]0.049806[/C][C]0.3826[/C][C]0.351708[/C][/ROW]
[ROW][C]20[/C][C]-0.069765[/C][C]-0.5359[/C][C]0.70297[/C][/ROW]
[ROW][C]21[/C][C]-0.02969[/C][C]-0.2281[/C][C]0.589803[/C][/ROW]
[ROW][C]22[/C][C]0.058499[/C][C]0.4493[/C][C]0.327416[/C][/ROW]
[ROW][C]23[/C][C]0.045576[/C][C]0.3501[/C][C]0.363765[/C][/ROW]
[ROW][C]24[/C][C]0.031092[/C][C]0.2388[/C][C]0.406035[/C][/ROW]
[ROW][C]25[/C][C]0.079112[/C][C]0.6077[/C][C]0.272868[/C][/ROW]
[ROW][C]26[/C][C]0.13151[/C][C]1.0101[/C][C]0.158275[/C][/ROW]
[ROW][C]27[/C][C]0.027109[/C][C]0.2082[/C][C]0.417884[/C][/ROW]
[ROW][C]28[/C][C]-0.008499[/C][C]-0.0653[/C][C]0.525914[/C][/ROW]
[ROW][C]29[/C][C]-0.066965[/C][C]-0.5144[/C][C]0.695541[/C][/ROW]
[ROW][C]30[/C][C]-0.056986[/C][C]-0.4377[/C][C]0.668404[/C][/ROW]
[ROW][C]31[/C][C]-0.103106[/C][C]-0.792[/C][C]0.784226[/C][/ROW]
[ROW][C]32[/C][C]-0.032548[/C][C]-0.25[/C][C]0.598273[/C][/ROW]
[ROW][C]33[/C][C]0.068298[/C][C]0.5246[/C][C]0.30091[/C][/ROW]
[ROW][C]34[/C][C]-0.04217[/C][C]-0.3239[/C][C]0.626425[/C][/ROW]
[ROW][C]35[/C][C]-0.059164[/C][C]-0.4544[/C][C]0.674413[/C][/ROW]
[ROW][C]36[/C][C]0.077045[/C][C]0.5918[/C][C]0.278125[/C][/ROW]
[ROW][C]37[/C][C]0.022679[/C][C]0.1742[/C][C]0.431152[/C][/ROW]
[ROW][C]38[/C][C]-0.114737[/C][C]-0.8813[/C][C]0.809137[/C][/ROW]
[ROW][C]39[/C][C]-0.02015[/C][C]-0.1548[/C][C]0.561236[/C][/ROW]
[ROW][C]40[/C][C]0.103603[/C][C]0.7958[/C][C]0.214672[/C][/ROW]
[ROW][C]41[/C][C]-0.033602[/C][C]-0.2581[/C][C]0.601387[/C][/ROW]
[ROW][C]42[/C][C]0.119656[/C][C]0.9191[/C][C]0.180893[/C][/ROW]
[ROW][C]43[/C][C]-0.085495[/C][C]-0.6567[/C][C]0.743037[/C][/ROW]
[ROW][C]44[/C][C]-0.03716[/C][C]-0.2854[/C][C]0.611844[/C][/ROW]
[ROW][C]45[/C][C]0.126389[/C][C]0.9708[/C][C]0.167802[/C][/ROW]
[ROW][C]46[/C][C]0.041646[/C][C]0.3199[/C][C]0.37509[/C][/ROW]
[ROW][C]47[/C][C]-0.019472[/C][C]-0.1496[/C][C]0.559193[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2813&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2813&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
0-0.06648-0.51060.694245
10.2055131.57860.059891
2-0.155284-1.19280.881131
3-0.097851-0.75160.772363
4-0.135385-1.03990.848687
5-0.173562-1.33320.906197
6-0.18986-1.45830.924975
70.0559510.42980.334464
8-0.055021-0.42260.662948
90.0220770.16960.432963
10-0.047363-0.36380.641346
110.2065181.58630.059009
12-0.00614-0.04720.518728
13-0.093523-0.71840.762315
14-0.100868-0.77480.779218
150.0438980.33720.368586
16-0.0713-0.54770.707007
17-0.028238-0.21690.585482
18-0.108436-0.83290.795873
190.0498060.38260.351708
20-0.069765-0.53590.70297
21-0.02969-0.22810.589803
220.0584990.44930.327416
230.0455760.35010.363765
240.0310920.23880.406035
250.0791120.60770.272868
260.131511.01010.158275
270.0271090.20820.417884
28-0.008499-0.06530.525914
29-0.066965-0.51440.695541
30-0.056986-0.43770.668404
31-0.103106-0.7920.784226
32-0.032548-0.250.598273
330.0682980.52460.30091
34-0.04217-0.32390.626425
35-0.059164-0.45440.674413
360.0770450.59180.278125
370.0226790.17420.431152
38-0.114737-0.88130.809137
39-0.02015-0.15480.561236
400.1036030.79580.214672
41-0.033602-0.25810.601387
420.1196560.91910.180893
43-0.085495-0.65670.743037
44-0.03716-0.28540.611844
450.1263890.97080.167802
460.0416460.31990.37509
47-0.019472-0.14960.559193



Parameters (Session):
par1 = 48 ; par2 = 1.2 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.2 ; 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 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')