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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, 21 Dec 2008 10:25:45 -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/21/t1229880384twtyqsqeggmkptm.htm/, Retrieved Fri, 17 May 2024 01:41:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35699, Retrieved Fri, 17 May 2024 01:41:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-21 17:25:45] [a2d5a6282476ec2b5afae6fb53d308f8] [Current]
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Dataseries X:
106.7
101.1
97.8
113.8
107.1
117.5
113.7
106.6
109.8
108.8
102.0
114.5
116.5
108.6
113.9
109.3
112.5
123.4
115.2
110.8
120.4
117.6
111.2
131.1
118.9
115.7
119.6
113.1
106.4
115.5
111.8
109.6
121.5
109.5
109.0
113.4
112.7
114.4
109.2
116.2
113.8
123.6
112.6
117.7
113.3
110.7
114.7
116.9
120.6
111.6
111.9
116.1
111.9
125.1
115.1
116.7
115.8
116.8
113.0
106.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35699&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35699&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35699&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1793871.38950.084903
20.1527561.18320.12069
30.2505611.94080.02849
4-0.067615-0.52370.301193
50.0440910.34150.36695
60.287452.22660.014871
70.0450960.34930.364038
8-0.008063-0.06250.475203
90.2400521.85940.033935
10-0.196806-1.52450.066325
11-0.10115-0.78350.218207
120.1365531.05770.147209
13-0.215849-1.6720.04987
14-0.028489-0.22070.413047
15-0.045306-0.35090.363432
16-0.165213-1.27970.102783
17-0.09799-0.7590.225403
180.0774020.59960.275531
19-0.175125-1.35650.090009
20-0.017651-0.13670.445852
21-0.009642-0.07470.470356
22-0.230301-1.78390.039748
23-0.069058-0.53490.29734
240.0630280.48820.313588
25-0.021341-0.16530.434628
260.0337840.26170.397228
270.0858390.66490.254329
280.0337120.26110.397443
290.0652280.50530.307616
300.1170960.9070.184011
310.0349730.27090.393699
320.0477310.36970.356445
330.0122760.09510.46228
340.023750.1840.427329
35-0.019614-0.15190.439876
360.0575860.44610.32858
37-0.019458-0.15070.440351
38-0.072672-0.56290.287796
39-0.128706-0.9970.161395
40-0.08561-0.66310.254893
41-0.08575-0.66420.254549
42-0.046974-0.36390.35862
43-0.045621-0.35340.362521
44-0.049341-0.38220.351834
45-0.053599-0.41520.339746
46-0.119335-0.92440.179499
47-0.100029-0.77480.220745
480.0058280.04510.48207
49-0.010394-0.08050.46805
500.011660.09030.464167
51-0.082168-0.63650.263446
52-0.056391-0.43680.331912
53-0.088404-0.68480.248061
54-0.056389-0.43680.331917
55-0.029167-0.22590.411013
56-0.025791-0.19980.421166
570.0482690.37390.354901
580.0464110.35950.360241
590.024490.18970.425093
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.179387 & 1.3895 & 0.084903 \tabularnewline
2 & 0.152756 & 1.1832 & 0.12069 \tabularnewline
3 & 0.250561 & 1.9408 & 0.02849 \tabularnewline
4 & -0.067615 & -0.5237 & 0.301193 \tabularnewline
5 & 0.044091 & 0.3415 & 0.36695 \tabularnewline
6 & 0.28745 & 2.2266 & 0.014871 \tabularnewline
7 & 0.045096 & 0.3493 & 0.364038 \tabularnewline
8 & -0.008063 & -0.0625 & 0.475203 \tabularnewline
9 & 0.240052 & 1.8594 & 0.033935 \tabularnewline
10 & -0.196806 & -1.5245 & 0.066325 \tabularnewline
11 & -0.10115 & -0.7835 & 0.218207 \tabularnewline
12 & 0.136553 & 1.0577 & 0.147209 \tabularnewline
13 & -0.215849 & -1.672 & 0.04987 \tabularnewline
14 & -0.028489 & -0.2207 & 0.413047 \tabularnewline
15 & -0.045306 & -0.3509 & 0.363432 \tabularnewline
16 & -0.165213 & -1.2797 & 0.102783 \tabularnewline
17 & -0.09799 & -0.759 & 0.225403 \tabularnewline
18 & 0.077402 & 0.5996 & 0.275531 \tabularnewline
19 & -0.175125 & -1.3565 & 0.090009 \tabularnewline
20 & -0.017651 & -0.1367 & 0.445852 \tabularnewline
21 & -0.009642 & -0.0747 & 0.470356 \tabularnewline
22 & -0.230301 & -1.7839 & 0.039748 \tabularnewline
23 & -0.069058 & -0.5349 & 0.29734 \tabularnewline
24 & 0.063028 & 0.4882 & 0.313588 \tabularnewline
25 & -0.021341 & -0.1653 & 0.434628 \tabularnewline
26 & 0.033784 & 0.2617 & 0.397228 \tabularnewline
27 & 0.085839 & 0.6649 & 0.254329 \tabularnewline
28 & 0.033712 & 0.2611 & 0.397443 \tabularnewline
29 & 0.065228 & 0.5053 & 0.307616 \tabularnewline
30 & 0.117096 & 0.907 & 0.184011 \tabularnewline
31 & 0.034973 & 0.2709 & 0.393699 \tabularnewline
32 & 0.047731 & 0.3697 & 0.356445 \tabularnewline
33 & 0.012276 & 0.0951 & 0.46228 \tabularnewline
34 & 0.02375 & 0.184 & 0.427329 \tabularnewline
35 & -0.019614 & -0.1519 & 0.439876 \tabularnewline
36 & 0.057586 & 0.4461 & 0.32858 \tabularnewline
37 & -0.019458 & -0.1507 & 0.440351 \tabularnewline
38 & -0.072672 & -0.5629 & 0.287796 \tabularnewline
39 & -0.128706 & -0.997 & 0.161395 \tabularnewline
40 & -0.08561 & -0.6631 & 0.254893 \tabularnewline
41 & -0.08575 & -0.6642 & 0.254549 \tabularnewline
42 & -0.046974 & -0.3639 & 0.35862 \tabularnewline
43 & -0.045621 & -0.3534 & 0.362521 \tabularnewline
44 & -0.049341 & -0.3822 & 0.351834 \tabularnewline
45 & -0.053599 & -0.4152 & 0.339746 \tabularnewline
46 & -0.119335 & -0.9244 & 0.179499 \tabularnewline
47 & -0.100029 & -0.7748 & 0.220745 \tabularnewline
48 & 0.005828 & 0.0451 & 0.48207 \tabularnewline
49 & -0.010394 & -0.0805 & 0.46805 \tabularnewline
50 & 0.01166 & 0.0903 & 0.464167 \tabularnewline
51 & -0.082168 & -0.6365 & 0.263446 \tabularnewline
52 & -0.056391 & -0.4368 & 0.331912 \tabularnewline
53 & -0.088404 & -0.6848 & 0.248061 \tabularnewline
54 & -0.056389 & -0.4368 & 0.331917 \tabularnewline
55 & -0.029167 & -0.2259 & 0.411013 \tabularnewline
56 & -0.025791 & -0.1998 & 0.421166 \tabularnewline
57 & 0.048269 & 0.3739 & 0.354901 \tabularnewline
58 & 0.046411 & 0.3595 & 0.360241 \tabularnewline
59 & 0.02449 & 0.1897 & 0.425093 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35699&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]0.179387[/C][C]1.3895[/C][C]0.084903[/C][/ROW]
[ROW][C]2[/C][C]0.152756[/C][C]1.1832[/C][C]0.12069[/C][/ROW]
[ROW][C]3[/C][C]0.250561[/C][C]1.9408[/C][C]0.02849[/C][/ROW]
[ROW][C]4[/C][C]-0.067615[/C][C]-0.5237[/C][C]0.301193[/C][/ROW]
[ROW][C]5[/C][C]0.044091[/C][C]0.3415[/C][C]0.36695[/C][/ROW]
[ROW][C]6[/C][C]0.28745[/C][C]2.2266[/C][C]0.014871[/C][/ROW]
[ROW][C]7[/C][C]0.045096[/C][C]0.3493[/C][C]0.364038[/C][/ROW]
[ROW][C]8[/C][C]-0.008063[/C][C]-0.0625[/C][C]0.475203[/C][/ROW]
[ROW][C]9[/C][C]0.240052[/C][C]1.8594[/C][C]0.033935[/C][/ROW]
[ROW][C]10[/C][C]-0.196806[/C][C]-1.5245[/C][C]0.066325[/C][/ROW]
[ROW][C]11[/C][C]-0.10115[/C][C]-0.7835[/C][C]0.218207[/C][/ROW]
[ROW][C]12[/C][C]0.136553[/C][C]1.0577[/C][C]0.147209[/C][/ROW]
[ROW][C]13[/C][C]-0.215849[/C][C]-1.672[/C][C]0.04987[/C][/ROW]
[ROW][C]14[/C][C]-0.028489[/C][C]-0.2207[/C][C]0.413047[/C][/ROW]
[ROW][C]15[/C][C]-0.045306[/C][C]-0.3509[/C][C]0.363432[/C][/ROW]
[ROW][C]16[/C][C]-0.165213[/C][C]-1.2797[/C][C]0.102783[/C][/ROW]
[ROW][C]17[/C][C]-0.09799[/C][C]-0.759[/C][C]0.225403[/C][/ROW]
[ROW][C]18[/C][C]0.077402[/C][C]0.5996[/C][C]0.275531[/C][/ROW]
[ROW][C]19[/C][C]-0.175125[/C][C]-1.3565[/C][C]0.090009[/C][/ROW]
[ROW][C]20[/C][C]-0.017651[/C][C]-0.1367[/C][C]0.445852[/C][/ROW]
[ROW][C]21[/C][C]-0.009642[/C][C]-0.0747[/C][C]0.470356[/C][/ROW]
[ROW][C]22[/C][C]-0.230301[/C][C]-1.7839[/C][C]0.039748[/C][/ROW]
[ROW][C]23[/C][C]-0.069058[/C][C]-0.5349[/C][C]0.29734[/C][/ROW]
[ROW][C]24[/C][C]0.063028[/C][C]0.4882[/C][C]0.313588[/C][/ROW]
[ROW][C]25[/C][C]-0.021341[/C][C]-0.1653[/C][C]0.434628[/C][/ROW]
[ROW][C]26[/C][C]0.033784[/C][C]0.2617[/C][C]0.397228[/C][/ROW]
[ROW][C]27[/C][C]0.085839[/C][C]0.6649[/C][C]0.254329[/C][/ROW]
[ROW][C]28[/C][C]0.033712[/C][C]0.2611[/C][C]0.397443[/C][/ROW]
[ROW][C]29[/C][C]0.065228[/C][C]0.5053[/C][C]0.307616[/C][/ROW]
[ROW][C]30[/C][C]0.117096[/C][C]0.907[/C][C]0.184011[/C][/ROW]
[ROW][C]31[/C][C]0.034973[/C][C]0.2709[/C][C]0.393699[/C][/ROW]
[ROW][C]32[/C][C]0.047731[/C][C]0.3697[/C][C]0.356445[/C][/ROW]
[ROW][C]33[/C][C]0.012276[/C][C]0.0951[/C][C]0.46228[/C][/ROW]
[ROW][C]34[/C][C]0.02375[/C][C]0.184[/C][C]0.427329[/C][/ROW]
[ROW][C]35[/C][C]-0.019614[/C][C]-0.1519[/C][C]0.439876[/C][/ROW]
[ROW][C]36[/C][C]0.057586[/C][C]0.4461[/C][C]0.32858[/C][/ROW]
[ROW][C]37[/C][C]-0.019458[/C][C]-0.1507[/C][C]0.440351[/C][/ROW]
[ROW][C]38[/C][C]-0.072672[/C][C]-0.5629[/C][C]0.287796[/C][/ROW]
[ROW][C]39[/C][C]-0.128706[/C][C]-0.997[/C][C]0.161395[/C][/ROW]
[ROW][C]40[/C][C]-0.08561[/C][C]-0.6631[/C][C]0.254893[/C][/ROW]
[ROW][C]41[/C][C]-0.08575[/C][C]-0.6642[/C][C]0.254549[/C][/ROW]
[ROW][C]42[/C][C]-0.046974[/C][C]-0.3639[/C][C]0.35862[/C][/ROW]
[ROW][C]43[/C][C]-0.045621[/C][C]-0.3534[/C][C]0.362521[/C][/ROW]
[ROW][C]44[/C][C]-0.049341[/C][C]-0.3822[/C][C]0.351834[/C][/ROW]
[ROW][C]45[/C][C]-0.053599[/C][C]-0.4152[/C][C]0.339746[/C][/ROW]
[ROW][C]46[/C][C]-0.119335[/C][C]-0.9244[/C][C]0.179499[/C][/ROW]
[ROW][C]47[/C][C]-0.100029[/C][C]-0.7748[/C][C]0.220745[/C][/ROW]
[ROW][C]48[/C][C]0.005828[/C][C]0.0451[/C][C]0.48207[/C][/ROW]
[ROW][C]49[/C][C]-0.010394[/C][C]-0.0805[/C][C]0.46805[/C][/ROW]
[ROW][C]50[/C][C]0.01166[/C][C]0.0903[/C][C]0.464167[/C][/ROW]
[ROW][C]51[/C][C]-0.082168[/C][C]-0.6365[/C][C]0.263446[/C][/ROW]
[ROW][C]52[/C][C]-0.056391[/C][C]-0.4368[/C][C]0.331912[/C][/ROW]
[ROW][C]53[/C][C]-0.088404[/C][C]-0.6848[/C][C]0.248061[/C][/ROW]
[ROW][C]54[/C][C]-0.056389[/C][C]-0.4368[/C][C]0.331917[/C][/ROW]
[ROW][C]55[/C][C]-0.029167[/C][C]-0.2259[/C][C]0.411013[/C][/ROW]
[ROW][C]56[/C][C]-0.025791[/C][C]-0.1998[/C][C]0.421166[/C][/ROW]
[ROW][C]57[/C][C]0.048269[/C][C]0.3739[/C][C]0.354901[/C][/ROW]
[ROW][C]58[/C][C]0.046411[/C][C]0.3595[/C][C]0.360241[/C][/ROW]
[ROW][C]59[/C][C]0.02449[/C][C]0.1897[/C][C]0.425093[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35699&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35699&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
10.1793871.38950.084903
20.1527561.18320.12069
30.2505611.94080.02849
4-0.067615-0.52370.301193
50.0440910.34150.36695
60.287452.22660.014871
70.0450960.34930.364038
8-0.008063-0.06250.475203
90.2400521.85940.033935
10-0.196806-1.52450.066325
11-0.10115-0.78350.218207
120.1365531.05770.147209
13-0.215849-1.6720.04987
14-0.028489-0.22070.413047
15-0.045306-0.35090.363432
16-0.165213-1.27970.102783
17-0.09799-0.7590.225403
180.0774020.59960.275531
19-0.175125-1.35650.090009
20-0.017651-0.13670.445852
21-0.009642-0.07470.470356
22-0.230301-1.78390.039748
23-0.069058-0.53490.29734
240.0630280.48820.313588
25-0.021341-0.16530.434628
260.0337840.26170.397228
270.0858390.66490.254329
280.0337120.26110.397443
290.0652280.50530.307616
300.1170960.9070.184011
310.0349730.27090.393699
320.0477310.36970.356445
330.0122760.09510.46228
340.023750.1840.427329
35-0.019614-0.15190.439876
360.0575860.44610.32858
37-0.019458-0.15070.440351
38-0.072672-0.56290.287796
39-0.128706-0.9970.161395
40-0.08561-0.66310.254893
41-0.08575-0.66420.254549
42-0.046974-0.36390.35862
43-0.045621-0.35340.362521
44-0.049341-0.38220.351834
45-0.053599-0.41520.339746
46-0.119335-0.92440.179499
47-0.100029-0.77480.220745
480.0058280.04510.48207
49-0.010394-0.08050.46805
500.011660.09030.464167
51-0.082168-0.63650.263446
52-0.056391-0.43680.331912
53-0.088404-0.68480.248061
54-0.056389-0.43680.331917
55-0.029167-0.22590.411013
56-0.025791-0.19980.421166
570.0482690.37390.354901
580.0464110.35950.360241
590.024490.18970.425093
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1793871.38950.084903
20.1245850.9650.169201
30.2143411.66030.051038
4-0.167885-1.30040.099214
50.0257660.19960.421242
60.2830372.19240.01612
70.0071480.05540.478016
8-0.144912-1.12250.133064
90.1770931.37180.087623
10-0.21665-1.67820.049259
11-0.091519-0.70890.240564
120.104460.80910.210814
13-0.153599-1.18980.119411
14-0.002369-0.01840.49271
15-0.167975-1.30110.099094
160.0618160.47880.316901
17-0.005186-0.04020.484045
180.0400710.31040.37867
19-0.057351-0.44420.329234
200.0594570.46060.323392
21-0.107828-0.83520.20345
22-0.031853-0.24670.402978
23-0.079126-0.61290.271126
240.1637571.26850.104767
250.0551940.42750.335262
26-0.093481-0.72410.235908
270.0507190.39290.347906
280.2015611.56130.061858
290.0064650.05010.480115
30-0.053227-0.41230.340797
310.0839910.65060.258898
32-0.069499-0.53830.296169
33-0.130169-1.00830.158684
34-0.000691-0.00540.497873
350.0264430.20480.4192
36-0.046232-0.35810.360759
37-0.144149-1.11660.134314
38-0.060658-0.46990.320082
39-0.063456-0.49150.312424
40-0.002755-0.02130.491522
410.0167610.12980.448567
420.0166210.12870.448995
43-0.041986-0.32520.373073
440.0622570.48220.315694
45-0.017718-0.13720.445648
46-0.058012-0.44940.327395
470.0618230.47890.316881
480.0669050.51820.303097
49-0.033668-0.26080.397572
500.039930.30930.379083
51-0.094874-0.73490.232634
52-0.042177-0.32670.372514
53-0.045013-0.34870.364278
54-0.114025-0.88320.190317
55-0.035517-0.27510.392088
56-0.091903-0.71190.23965
570.1077150.83440.203695
580.0492170.38120.352189
59-0.036851-0.28540.388142
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.179387 & 1.3895 & 0.084903 \tabularnewline
2 & 0.124585 & 0.965 & 0.169201 \tabularnewline
3 & 0.214341 & 1.6603 & 0.051038 \tabularnewline
4 & -0.167885 & -1.3004 & 0.099214 \tabularnewline
5 & 0.025766 & 0.1996 & 0.421242 \tabularnewline
6 & 0.283037 & 2.1924 & 0.01612 \tabularnewline
7 & 0.007148 & 0.0554 & 0.478016 \tabularnewline
8 & -0.144912 & -1.1225 & 0.133064 \tabularnewline
9 & 0.177093 & 1.3718 & 0.087623 \tabularnewline
10 & -0.21665 & -1.6782 & 0.049259 \tabularnewline
11 & -0.091519 & -0.7089 & 0.240564 \tabularnewline
12 & 0.10446 & 0.8091 & 0.210814 \tabularnewline
13 & -0.153599 & -1.1898 & 0.119411 \tabularnewline
14 & -0.002369 & -0.0184 & 0.49271 \tabularnewline
15 & -0.167975 & -1.3011 & 0.099094 \tabularnewline
16 & 0.061816 & 0.4788 & 0.316901 \tabularnewline
17 & -0.005186 & -0.0402 & 0.484045 \tabularnewline
18 & 0.040071 & 0.3104 & 0.37867 \tabularnewline
19 & -0.057351 & -0.4442 & 0.329234 \tabularnewline
20 & 0.059457 & 0.4606 & 0.323392 \tabularnewline
21 & -0.107828 & -0.8352 & 0.20345 \tabularnewline
22 & -0.031853 & -0.2467 & 0.402978 \tabularnewline
23 & -0.079126 & -0.6129 & 0.271126 \tabularnewline
24 & 0.163757 & 1.2685 & 0.104767 \tabularnewline
25 & 0.055194 & 0.4275 & 0.335262 \tabularnewline
26 & -0.093481 & -0.7241 & 0.235908 \tabularnewline
27 & 0.050719 & 0.3929 & 0.347906 \tabularnewline
28 & 0.201561 & 1.5613 & 0.061858 \tabularnewline
29 & 0.006465 & 0.0501 & 0.480115 \tabularnewline
30 & -0.053227 & -0.4123 & 0.340797 \tabularnewline
31 & 0.083991 & 0.6506 & 0.258898 \tabularnewline
32 & -0.069499 & -0.5383 & 0.296169 \tabularnewline
33 & -0.130169 & -1.0083 & 0.158684 \tabularnewline
34 & -0.000691 & -0.0054 & 0.497873 \tabularnewline
35 & 0.026443 & 0.2048 & 0.4192 \tabularnewline
36 & -0.046232 & -0.3581 & 0.360759 \tabularnewline
37 & -0.144149 & -1.1166 & 0.134314 \tabularnewline
38 & -0.060658 & -0.4699 & 0.320082 \tabularnewline
39 & -0.063456 & -0.4915 & 0.312424 \tabularnewline
40 & -0.002755 & -0.0213 & 0.491522 \tabularnewline
41 & 0.016761 & 0.1298 & 0.448567 \tabularnewline
42 & 0.016621 & 0.1287 & 0.448995 \tabularnewline
43 & -0.041986 & -0.3252 & 0.373073 \tabularnewline
44 & 0.062257 & 0.4822 & 0.315694 \tabularnewline
45 & -0.017718 & -0.1372 & 0.445648 \tabularnewline
46 & -0.058012 & -0.4494 & 0.327395 \tabularnewline
47 & 0.061823 & 0.4789 & 0.316881 \tabularnewline
48 & 0.066905 & 0.5182 & 0.303097 \tabularnewline
49 & -0.033668 & -0.2608 & 0.397572 \tabularnewline
50 & 0.03993 & 0.3093 & 0.379083 \tabularnewline
51 & -0.094874 & -0.7349 & 0.232634 \tabularnewline
52 & -0.042177 & -0.3267 & 0.372514 \tabularnewline
53 & -0.045013 & -0.3487 & 0.364278 \tabularnewline
54 & -0.114025 & -0.8832 & 0.190317 \tabularnewline
55 & -0.035517 & -0.2751 & 0.392088 \tabularnewline
56 & -0.091903 & -0.7119 & 0.23965 \tabularnewline
57 & 0.107715 & 0.8344 & 0.203695 \tabularnewline
58 & 0.049217 & 0.3812 & 0.352189 \tabularnewline
59 & -0.036851 & -0.2854 & 0.388142 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35699&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]0.179387[/C][C]1.3895[/C][C]0.084903[/C][/ROW]
[ROW][C]2[/C][C]0.124585[/C][C]0.965[/C][C]0.169201[/C][/ROW]
[ROW][C]3[/C][C]0.214341[/C][C]1.6603[/C][C]0.051038[/C][/ROW]
[ROW][C]4[/C][C]-0.167885[/C][C]-1.3004[/C][C]0.099214[/C][/ROW]
[ROW][C]5[/C][C]0.025766[/C][C]0.1996[/C][C]0.421242[/C][/ROW]
[ROW][C]6[/C][C]0.283037[/C][C]2.1924[/C][C]0.01612[/C][/ROW]
[ROW][C]7[/C][C]0.007148[/C][C]0.0554[/C][C]0.478016[/C][/ROW]
[ROW][C]8[/C][C]-0.144912[/C][C]-1.1225[/C][C]0.133064[/C][/ROW]
[ROW][C]9[/C][C]0.177093[/C][C]1.3718[/C][C]0.087623[/C][/ROW]
[ROW][C]10[/C][C]-0.21665[/C][C]-1.6782[/C][C]0.049259[/C][/ROW]
[ROW][C]11[/C][C]-0.091519[/C][C]-0.7089[/C][C]0.240564[/C][/ROW]
[ROW][C]12[/C][C]0.10446[/C][C]0.8091[/C][C]0.210814[/C][/ROW]
[ROW][C]13[/C][C]-0.153599[/C][C]-1.1898[/C][C]0.119411[/C][/ROW]
[ROW][C]14[/C][C]-0.002369[/C][C]-0.0184[/C][C]0.49271[/C][/ROW]
[ROW][C]15[/C][C]-0.167975[/C][C]-1.3011[/C][C]0.099094[/C][/ROW]
[ROW][C]16[/C][C]0.061816[/C][C]0.4788[/C][C]0.316901[/C][/ROW]
[ROW][C]17[/C][C]-0.005186[/C][C]-0.0402[/C][C]0.484045[/C][/ROW]
[ROW][C]18[/C][C]0.040071[/C][C]0.3104[/C][C]0.37867[/C][/ROW]
[ROW][C]19[/C][C]-0.057351[/C][C]-0.4442[/C][C]0.329234[/C][/ROW]
[ROW][C]20[/C][C]0.059457[/C][C]0.4606[/C][C]0.323392[/C][/ROW]
[ROW][C]21[/C][C]-0.107828[/C][C]-0.8352[/C][C]0.20345[/C][/ROW]
[ROW][C]22[/C][C]-0.031853[/C][C]-0.2467[/C][C]0.402978[/C][/ROW]
[ROW][C]23[/C][C]-0.079126[/C][C]-0.6129[/C][C]0.271126[/C][/ROW]
[ROW][C]24[/C][C]0.163757[/C][C]1.2685[/C][C]0.104767[/C][/ROW]
[ROW][C]25[/C][C]0.055194[/C][C]0.4275[/C][C]0.335262[/C][/ROW]
[ROW][C]26[/C][C]-0.093481[/C][C]-0.7241[/C][C]0.235908[/C][/ROW]
[ROW][C]27[/C][C]0.050719[/C][C]0.3929[/C][C]0.347906[/C][/ROW]
[ROW][C]28[/C][C]0.201561[/C][C]1.5613[/C][C]0.061858[/C][/ROW]
[ROW][C]29[/C][C]0.006465[/C][C]0.0501[/C][C]0.480115[/C][/ROW]
[ROW][C]30[/C][C]-0.053227[/C][C]-0.4123[/C][C]0.340797[/C][/ROW]
[ROW][C]31[/C][C]0.083991[/C][C]0.6506[/C][C]0.258898[/C][/ROW]
[ROW][C]32[/C][C]-0.069499[/C][C]-0.5383[/C][C]0.296169[/C][/ROW]
[ROW][C]33[/C][C]-0.130169[/C][C]-1.0083[/C][C]0.158684[/C][/ROW]
[ROW][C]34[/C][C]-0.000691[/C][C]-0.0054[/C][C]0.497873[/C][/ROW]
[ROW][C]35[/C][C]0.026443[/C][C]0.2048[/C][C]0.4192[/C][/ROW]
[ROW][C]36[/C][C]-0.046232[/C][C]-0.3581[/C][C]0.360759[/C][/ROW]
[ROW][C]37[/C][C]-0.144149[/C][C]-1.1166[/C][C]0.134314[/C][/ROW]
[ROW][C]38[/C][C]-0.060658[/C][C]-0.4699[/C][C]0.320082[/C][/ROW]
[ROW][C]39[/C][C]-0.063456[/C][C]-0.4915[/C][C]0.312424[/C][/ROW]
[ROW][C]40[/C][C]-0.002755[/C][C]-0.0213[/C][C]0.491522[/C][/ROW]
[ROW][C]41[/C][C]0.016761[/C][C]0.1298[/C][C]0.448567[/C][/ROW]
[ROW][C]42[/C][C]0.016621[/C][C]0.1287[/C][C]0.448995[/C][/ROW]
[ROW][C]43[/C][C]-0.041986[/C][C]-0.3252[/C][C]0.373073[/C][/ROW]
[ROW][C]44[/C][C]0.062257[/C][C]0.4822[/C][C]0.315694[/C][/ROW]
[ROW][C]45[/C][C]-0.017718[/C][C]-0.1372[/C][C]0.445648[/C][/ROW]
[ROW][C]46[/C][C]-0.058012[/C][C]-0.4494[/C][C]0.327395[/C][/ROW]
[ROW][C]47[/C][C]0.061823[/C][C]0.4789[/C][C]0.316881[/C][/ROW]
[ROW][C]48[/C][C]0.066905[/C][C]0.5182[/C][C]0.303097[/C][/ROW]
[ROW][C]49[/C][C]-0.033668[/C][C]-0.2608[/C][C]0.397572[/C][/ROW]
[ROW][C]50[/C][C]0.03993[/C][C]0.3093[/C][C]0.379083[/C][/ROW]
[ROW][C]51[/C][C]-0.094874[/C][C]-0.7349[/C][C]0.232634[/C][/ROW]
[ROW][C]52[/C][C]-0.042177[/C][C]-0.3267[/C][C]0.372514[/C][/ROW]
[ROW][C]53[/C][C]-0.045013[/C][C]-0.3487[/C][C]0.364278[/C][/ROW]
[ROW][C]54[/C][C]-0.114025[/C][C]-0.8832[/C][C]0.190317[/C][/ROW]
[ROW][C]55[/C][C]-0.035517[/C][C]-0.2751[/C][C]0.392088[/C][/ROW]
[ROW][C]56[/C][C]-0.091903[/C][C]-0.7119[/C][C]0.23965[/C][/ROW]
[ROW][C]57[/C][C]0.107715[/C][C]0.8344[/C][C]0.203695[/C][/ROW]
[ROW][C]58[/C][C]0.049217[/C][C]0.3812[/C][C]0.352189[/C][/ROW]
[ROW][C]59[/C][C]-0.036851[/C][C]-0.2854[/C][C]0.388142[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35699&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35699&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
10.1793871.38950.084903
20.1245850.9650.169201
30.2143411.66030.051038
4-0.167885-1.30040.099214
50.0257660.19960.421242
60.2830372.19240.01612
70.0071480.05540.478016
8-0.144912-1.12250.133064
90.1770931.37180.087623
10-0.21665-1.67820.049259
11-0.091519-0.70890.240564
120.104460.80910.210814
13-0.153599-1.18980.119411
14-0.002369-0.01840.49271
15-0.167975-1.30110.099094
160.0618160.47880.316901
17-0.005186-0.04020.484045
180.0400710.31040.37867
19-0.057351-0.44420.329234
200.0594570.46060.323392
21-0.107828-0.83520.20345
22-0.031853-0.24670.402978
23-0.079126-0.61290.271126
240.1637571.26850.104767
250.0551940.42750.335262
26-0.093481-0.72410.235908
270.0507190.39290.347906
280.2015611.56130.061858
290.0064650.05010.480115
30-0.053227-0.41230.340797
310.0839910.65060.258898
32-0.069499-0.53830.296169
33-0.130169-1.00830.158684
34-0.000691-0.00540.497873
350.0264430.20480.4192
36-0.046232-0.35810.360759
37-0.144149-1.11660.134314
38-0.060658-0.46990.320082
39-0.063456-0.49150.312424
40-0.002755-0.02130.491522
410.0167610.12980.448567
420.0166210.12870.448995
43-0.041986-0.32520.373073
440.0622570.48220.315694
45-0.017718-0.13720.445648
46-0.058012-0.44940.327395
470.0618230.47890.316881
480.0669050.51820.303097
49-0.033668-0.26080.397572
500.039930.30930.379083
51-0.094874-0.73490.232634
52-0.042177-0.32670.372514
53-0.045013-0.34870.364278
54-0.114025-0.88320.190317
55-0.035517-0.27510.392088
56-0.091903-0.71190.23965
570.1077150.83440.203695
580.0492170.38120.352189
59-0.036851-0.28540.388142
60NANANA



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')