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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 21 Dec 2008 08:01:09 -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/t1229871757ojkiup03tpz9l2d.htm/, Retrieved Sun, 19 May 2024 12:20:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35619, Retrieved Sun, 19 May 2024 12:20:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper-ACF d=1] [2008-12-21 15:01:09] [a16dfd7e948381d8b6391003c5d09447] [Current]
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Dataseries X:
7.5
7.2
6.9
6.7
6.4
6.3
6.8
7.3
7.1
7.1
6.8
6.5
6.3
6.1
6.1
6.3
6.3
6
6.2
6.4
6.8
7.5
7.5
7.6
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
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
6.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35619&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35619&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35619&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3743753.83620.000107
2-0.111673-1.14430.127548
3-0.383235-3.9277.7e-05
4-0.380265-3.89668.6e-05
5-0.067754-0.69430.244523
60.2156052.20930.014663
70.1101351.12850.130831
8-0.095606-0.97970.164751
9-0.151279-1.55010.062057
10-0.119985-1.22950.110819
110.1388431.42270.078891
120.4879414.99991e-06
130.1423791.45890.073782
14-0.004474-0.04580.481761
15-0.144056-1.47610.07145
16-0.156118-1.59970.056331
17-0.048104-0.49290.31155
180.0829590.85010.198609
19-0.031101-0.31870.375296
20-0.136572-1.39940.082313
21-0.128561-1.31740.095292
22-0.062082-0.63620.26303
230.1321631.35430.08928
240.326493.34550.00057
250.0573210.58740.27911
26-0.033865-0.3470.364639
27-0.106635-1.09270.138517
28-0.085086-0.87190.192634
29-0.026869-0.27530.391804
300.0038520.03950.484295
31-0.054132-0.55470.290144
32-0.099314-1.01770.155588
33-0.025401-0.26030.397578
340.0129990.13320.447144
350.0697340.71460.238234
360.164211.68260.047707
37-0.069528-0.71240.238883
38-0.057642-0.59070.27801
39-0.018996-0.19470.42302
400.0806030.82590.205358
410.1150351.17880.120578
420.0330220.33840.367879
43-0.140673-1.44150.076215
44-0.295368-3.02660.001555
45-0.173058-1.77330.039537
46-0.034726-0.35580.36134
470.1904921.9520.026803
480.3270053.35080.00056
490.0913650.93620.175656
50-0.085387-0.8750.191798
51-0.145273-1.48860.069795
52-0.082751-0.84790.199199
53-0.010239-0.10490.458321
540.0490620.50270.308101
55-0.019413-0.19890.421353
56-0.094167-0.96490.1684
57-0.045286-0.4640.32179
58-0.078412-0.80350.211756
590.0115240.11810.453111
600.1197951.22750.111184

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.374375 & 3.8362 & 0.000107 \tabularnewline
2 & -0.111673 & -1.1443 & 0.127548 \tabularnewline
3 & -0.383235 & -3.927 & 7.7e-05 \tabularnewline
4 & -0.380265 & -3.8966 & 8.6e-05 \tabularnewline
5 & -0.067754 & -0.6943 & 0.244523 \tabularnewline
6 & 0.215605 & 2.2093 & 0.014663 \tabularnewline
7 & 0.110135 & 1.1285 & 0.130831 \tabularnewline
8 & -0.095606 & -0.9797 & 0.164751 \tabularnewline
9 & -0.151279 & -1.5501 & 0.062057 \tabularnewline
10 & -0.119985 & -1.2295 & 0.110819 \tabularnewline
11 & 0.138843 & 1.4227 & 0.078891 \tabularnewline
12 & 0.487941 & 4.9999 & 1e-06 \tabularnewline
13 & 0.142379 & 1.4589 & 0.073782 \tabularnewline
14 & -0.004474 & -0.0458 & 0.481761 \tabularnewline
15 & -0.144056 & -1.4761 & 0.07145 \tabularnewline
16 & -0.156118 & -1.5997 & 0.056331 \tabularnewline
17 & -0.048104 & -0.4929 & 0.31155 \tabularnewline
18 & 0.082959 & 0.8501 & 0.198609 \tabularnewline
19 & -0.031101 & -0.3187 & 0.375296 \tabularnewline
20 & -0.136572 & -1.3994 & 0.082313 \tabularnewline
21 & -0.128561 & -1.3174 & 0.095292 \tabularnewline
22 & -0.062082 & -0.6362 & 0.26303 \tabularnewline
23 & 0.132163 & 1.3543 & 0.08928 \tabularnewline
24 & 0.32649 & 3.3455 & 0.00057 \tabularnewline
25 & 0.057321 & 0.5874 & 0.27911 \tabularnewline
26 & -0.033865 & -0.347 & 0.364639 \tabularnewline
27 & -0.106635 & -1.0927 & 0.138517 \tabularnewline
28 & -0.085086 & -0.8719 & 0.192634 \tabularnewline
29 & -0.026869 & -0.2753 & 0.391804 \tabularnewline
30 & 0.003852 & 0.0395 & 0.484295 \tabularnewline
31 & -0.054132 & -0.5547 & 0.290144 \tabularnewline
32 & -0.099314 & -1.0177 & 0.155588 \tabularnewline
33 & -0.025401 & -0.2603 & 0.397578 \tabularnewline
34 & 0.012999 & 0.1332 & 0.447144 \tabularnewline
35 & 0.069734 & 0.7146 & 0.238234 \tabularnewline
36 & 0.16421 & 1.6826 & 0.047707 \tabularnewline
37 & -0.069528 & -0.7124 & 0.238883 \tabularnewline
38 & -0.057642 & -0.5907 & 0.27801 \tabularnewline
39 & -0.018996 & -0.1947 & 0.42302 \tabularnewline
40 & 0.080603 & 0.8259 & 0.205358 \tabularnewline
41 & 0.115035 & 1.1788 & 0.120578 \tabularnewline
42 & 0.033022 & 0.3384 & 0.367879 \tabularnewline
43 & -0.140673 & -1.4415 & 0.076215 \tabularnewline
44 & -0.295368 & -3.0266 & 0.001555 \tabularnewline
45 & -0.173058 & -1.7733 & 0.039537 \tabularnewline
46 & -0.034726 & -0.3558 & 0.36134 \tabularnewline
47 & 0.190492 & 1.952 & 0.026803 \tabularnewline
48 & 0.327005 & 3.3508 & 0.00056 \tabularnewline
49 & 0.091365 & 0.9362 & 0.175656 \tabularnewline
50 & -0.085387 & -0.875 & 0.191798 \tabularnewline
51 & -0.145273 & -1.4886 & 0.069795 \tabularnewline
52 & -0.082751 & -0.8479 & 0.199199 \tabularnewline
53 & -0.010239 & -0.1049 & 0.458321 \tabularnewline
54 & 0.049062 & 0.5027 & 0.308101 \tabularnewline
55 & -0.019413 & -0.1989 & 0.421353 \tabularnewline
56 & -0.094167 & -0.9649 & 0.1684 \tabularnewline
57 & -0.045286 & -0.464 & 0.32179 \tabularnewline
58 & -0.078412 & -0.8035 & 0.211756 \tabularnewline
59 & 0.011524 & 0.1181 & 0.453111 \tabularnewline
60 & 0.119795 & 1.2275 & 0.111184 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35619&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]0.374375[/C][C]3.8362[/C][C]0.000107[/C][/ROW]
[ROW][C]2[/C][C]-0.111673[/C][C]-1.1443[/C][C]0.127548[/C][/ROW]
[ROW][C]3[/C][C]-0.383235[/C][C]-3.927[/C][C]7.7e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.380265[/C][C]-3.8966[/C][C]8.6e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.067754[/C][C]-0.6943[/C][C]0.244523[/C][/ROW]
[ROW][C]6[/C][C]0.215605[/C][C]2.2093[/C][C]0.014663[/C][/ROW]
[ROW][C]7[/C][C]0.110135[/C][C]1.1285[/C][C]0.130831[/C][/ROW]
[ROW][C]8[/C][C]-0.095606[/C][C]-0.9797[/C][C]0.164751[/C][/ROW]
[ROW][C]9[/C][C]-0.151279[/C][C]-1.5501[/C][C]0.062057[/C][/ROW]
[ROW][C]10[/C][C]-0.119985[/C][C]-1.2295[/C][C]0.110819[/C][/ROW]
[ROW][C]11[/C][C]0.138843[/C][C]1.4227[/C][C]0.078891[/C][/ROW]
[ROW][C]12[/C][C]0.487941[/C][C]4.9999[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.142379[/C][C]1.4589[/C][C]0.073782[/C][/ROW]
[ROW][C]14[/C][C]-0.004474[/C][C]-0.0458[/C][C]0.481761[/C][/ROW]
[ROW][C]15[/C][C]-0.144056[/C][C]-1.4761[/C][C]0.07145[/C][/ROW]
[ROW][C]16[/C][C]-0.156118[/C][C]-1.5997[/C][C]0.056331[/C][/ROW]
[ROW][C]17[/C][C]-0.048104[/C][C]-0.4929[/C][C]0.31155[/C][/ROW]
[ROW][C]18[/C][C]0.082959[/C][C]0.8501[/C][C]0.198609[/C][/ROW]
[ROW][C]19[/C][C]-0.031101[/C][C]-0.3187[/C][C]0.375296[/C][/ROW]
[ROW][C]20[/C][C]-0.136572[/C][C]-1.3994[/C][C]0.082313[/C][/ROW]
[ROW][C]21[/C][C]-0.128561[/C][C]-1.3174[/C][C]0.095292[/C][/ROW]
[ROW][C]22[/C][C]-0.062082[/C][C]-0.6362[/C][C]0.26303[/C][/ROW]
[ROW][C]23[/C][C]0.132163[/C][C]1.3543[/C][C]0.08928[/C][/ROW]
[ROW][C]24[/C][C]0.32649[/C][C]3.3455[/C][C]0.00057[/C][/ROW]
[ROW][C]25[/C][C]0.057321[/C][C]0.5874[/C][C]0.27911[/C][/ROW]
[ROW][C]26[/C][C]-0.033865[/C][C]-0.347[/C][C]0.364639[/C][/ROW]
[ROW][C]27[/C][C]-0.106635[/C][C]-1.0927[/C][C]0.138517[/C][/ROW]
[ROW][C]28[/C][C]-0.085086[/C][C]-0.8719[/C][C]0.192634[/C][/ROW]
[ROW][C]29[/C][C]-0.026869[/C][C]-0.2753[/C][C]0.391804[/C][/ROW]
[ROW][C]30[/C][C]0.003852[/C][C]0.0395[/C][C]0.484295[/C][/ROW]
[ROW][C]31[/C][C]-0.054132[/C][C]-0.5547[/C][C]0.290144[/C][/ROW]
[ROW][C]32[/C][C]-0.099314[/C][C]-1.0177[/C][C]0.155588[/C][/ROW]
[ROW][C]33[/C][C]-0.025401[/C][C]-0.2603[/C][C]0.397578[/C][/ROW]
[ROW][C]34[/C][C]0.012999[/C][C]0.1332[/C][C]0.447144[/C][/ROW]
[ROW][C]35[/C][C]0.069734[/C][C]0.7146[/C][C]0.238234[/C][/ROW]
[ROW][C]36[/C][C]0.16421[/C][C]1.6826[/C][C]0.047707[/C][/ROW]
[ROW][C]37[/C][C]-0.069528[/C][C]-0.7124[/C][C]0.238883[/C][/ROW]
[ROW][C]38[/C][C]-0.057642[/C][C]-0.5907[/C][C]0.27801[/C][/ROW]
[ROW][C]39[/C][C]-0.018996[/C][C]-0.1947[/C][C]0.42302[/C][/ROW]
[ROW][C]40[/C][C]0.080603[/C][C]0.8259[/C][C]0.205358[/C][/ROW]
[ROW][C]41[/C][C]0.115035[/C][C]1.1788[/C][C]0.120578[/C][/ROW]
[ROW][C]42[/C][C]0.033022[/C][C]0.3384[/C][C]0.367879[/C][/ROW]
[ROW][C]43[/C][C]-0.140673[/C][C]-1.4415[/C][C]0.076215[/C][/ROW]
[ROW][C]44[/C][C]-0.295368[/C][C]-3.0266[/C][C]0.001555[/C][/ROW]
[ROW][C]45[/C][C]-0.173058[/C][C]-1.7733[/C][C]0.039537[/C][/ROW]
[ROW][C]46[/C][C]-0.034726[/C][C]-0.3558[/C][C]0.36134[/C][/ROW]
[ROW][C]47[/C][C]0.190492[/C][C]1.952[/C][C]0.026803[/C][/ROW]
[ROW][C]48[/C][C]0.327005[/C][C]3.3508[/C][C]0.00056[/C][/ROW]
[ROW][C]49[/C][C]0.091365[/C][C]0.9362[/C][C]0.175656[/C][/ROW]
[ROW][C]50[/C][C]-0.085387[/C][C]-0.875[/C][C]0.191798[/C][/ROW]
[ROW][C]51[/C][C]-0.145273[/C][C]-1.4886[/C][C]0.069795[/C][/ROW]
[ROW][C]52[/C][C]-0.082751[/C][C]-0.8479[/C][C]0.199199[/C][/ROW]
[ROW][C]53[/C][C]-0.010239[/C][C]-0.1049[/C][C]0.458321[/C][/ROW]
[ROW][C]54[/C][C]0.049062[/C][C]0.5027[/C][C]0.308101[/C][/ROW]
[ROW][C]55[/C][C]-0.019413[/C][C]-0.1989[/C][C]0.421353[/C][/ROW]
[ROW][C]56[/C][C]-0.094167[/C][C]-0.9649[/C][C]0.1684[/C][/ROW]
[ROW][C]57[/C][C]-0.045286[/C][C]-0.464[/C][C]0.32179[/C][/ROW]
[ROW][C]58[/C][C]-0.078412[/C][C]-0.8035[/C][C]0.211756[/C][/ROW]
[ROW][C]59[/C][C]0.011524[/C][C]0.1181[/C][C]0.453111[/C][/ROW]
[ROW][C]60[/C][C]0.119795[/C][C]1.2275[/C][C]0.111184[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35619&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35619&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
10.3743753.83620.000107
2-0.111673-1.14430.127548
3-0.383235-3.9277.7e-05
4-0.380265-3.89668.6e-05
5-0.067754-0.69430.244523
60.2156052.20930.014663
70.1101351.12850.130831
8-0.095606-0.97970.164751
9-0.151279-1.55010.062057
10-0.119985-1.22950.110819
110.1388431.42270.078891
120.4879414.99991e-06
130.1423791.45890.073782
14-0.004474-0.04580.481761
15-0.144056-1.47610.07145
16-0.156118-1.59970.056331
17-0.048104-0.49290.31155
180.0829590.85010.198609
19-0.031101-0.31870.375296
20-0.136572-1.39940.082313
21-0.128561-1.31740.095292
22-0.062082-0.63620.26303
230.1321631.35430.08928
240.326493.34550.00057
250.0573210.58740.27911
26-0.033865-0.3470.364639
27-0.106635-1.09270.138517
28-0.085086-0.87190.192634
29-0.026869-0.27530.391804
300.0038520.03950.484295
31-0.054132-0.55470.290144
32-0.099314-1.01770.155588
33-0.025401-0.26030.397578
340.0129990.13320.447144
350.0697340.71460.238234
360.164211.68260.047707
37-0.069528-0.71240.238883
38-0.057642-0.59070.27801
39-0.018996-0.19470.42302
400.0806030.82590.205358
410.1150351.17880.120578
420.0330220.33840.367879
43-0.140673-1.44150.076215
44-0.295368-3.02660.001555
45-0.173058-1.77330.039537
46-0.034726-0.35580.36134
470.1904921.9520.026803
480.3270053.35080.00056
490.0913650.93620.175656
50-0.085387-0.8750.191798
51-0.145273-1.48860.069795
52-0.082751-0.84790.199199
53-0.010239-0.10490.458321
540.0490620.50270.308101
55-0.019413-0.19890.421353
56-0.094167-0.96490.1684
57-0.045286-0.4640.32179
58-0.078412-0.80350.211756
590.0115240.11810.453111
600.1197951.22750.111184







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3743753.83620.000107
2-0.292879-3.00110.00168
3-0.279276-2.86170.002543
4-0.192025-1.96770.025872
50.0602970.61790.269001
60.0772190.79130.215287
7-0.211115-2.16330.016394
8-0.170819-1.75040.041487
90.0066750.06840.472799
10-0.045534-0.46660.320882
110.1169071.19790.116819
120.385913.95447e-05
13-0.275141-2.81940.002876
140.2680292.74650.003545
150.125661.28760.100352
160.1232411.26280.10472
17-0.047453-0.48630.3139
180.036060.36950.356249
19-0.040777-0.41780.33846
20-0.086849-0.88990.187768
21-0.106313-1.08940.139239
220.0063540.06510.474105
23-0.072986-0.74790.228101
24-0.007127-0.0730.470961
25-0.100442-1.02920.152871
26-0.030789-0.31550.376508
270.0308780.31640.376161
28-0.010429-0.10690.457549
29-0.037854-0.38790.349442
30-0.129642-1.32840.093456
310.1045361.07120.143273
32-0.034272-0.35120.363077
330.0915330.93790.175214
34-0.040985-0.420.337681
35-0.024384-0.24990.401593
360.0671460.6880.246471
37-0.114487-1.17310.121697
380.0265850.27240.392918
390.0314140.32190.374086
400.091710.93970.174752
410.0940290.96350.168753
42-0.021074-0.21590.414723
43-0.05175-0.53030.298518
44-0.154156-1.57960.0586
45-0.07047-0.72210.235919
46-0.094058-0.96380.168678
470.0150420.15410.438901
480.0346620.35520.361585
490.0344550.35310.362377
50-0.143513-1.47060.072199
510.0786370.80580.211093
52-0.091798-0.94060.174523
53-0.047677-0.48850.31309
54-0.060254-0.61740.269148
550.0148240.15190.439777
560.1226961.25730.105725
57-0.009806-0.10050.460077
58-0.030218-0.30960.378722
59-0.074847-0.7670.222414
600.0053560.05490.478168

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.374375 & 3.8362 & 0.000107 \tabularnewline
2 & -0.292879 & -3.0011 & 0.00168 \tabularnewline
3 & -0.279276 & -2.8617 & 0.002543 \tabularnewline
4 & -0.192025 & -1.9677 & 0.025872 \tabularnewline
5 & 0.060297 & 0.6179 & 0.269001 \tabularnewline
6 & 0.077219 & 0.7913 & 0.215287 \tabularnewline
7 & -0.211115 & -2.1633 & 0.016394 \tabularnewline
8 & -0.170819 & -1.7504 & 0.041487 \tabularnewline
9 & 0.006675 & 0.0684 & 0.472799 \tabularnewline
10 & -0.045534 & -0.4666 & 0.320882 \tabularnewline
11 & 0.116907 & 1.1979 & 0.116819 \tabularnewline
12 & 0.38591 & 3.9544 & 7e-05 \tabularnewline
13 & -0.275141 & -2.8194 & 0.002876 \tabularnewline
14 & 0.268029 & 2.7465 & 0.003545 \tabularnewline
15 & 0.12566 & 1.2876 & 0.100352 \tabularnewline
16 & 0.123241 & 1.2628 & 0.10472 \tabularnewline
17 & -0.047453 & -0.4863 & 0.3139 \tabularnewline
18 & 0.03606 & 0.3695 & 0.356249 \tabularnewline
19 & -0.040777 & -0.4178 & 0.33846 \tabularnewline
20 & -0.086849 & -0.8899 & 0.187768 \tabularnewline
21 & -0.106313 & -1.0894 & 0.139239 \tabularnewline
22 & 0.006354 & 0.0651 & 0.474105 \tabularnewline
23 & -0.072986 & -0.7479 & 0.228101 \tabularnewline
24 & -0.007127 & -0.073 & 0.470961 \tabularnewline
25 & -0.100442 & -1.0292 & 0.152871 \tabularnewline
26 & -0.030789 & -0.3155 & 0.376508 \tabularnewline
27 & 0.030878 & 0.3164 & 0.376161 \tabularnewline
28 & -0.010429 & -0.1069 & 0.457549 \tabularnewline
29 & -0.037854 & -0.3879 & 0.349442 \tabularnewline
30 & -0.129642 & -1.3284 & 0.093456 \tabularnewline
31 & 0.104536 & 1.0712 & 0.143273 \tabularnewline
32 & -0.034272 & -0.3512 & 0.363077 \tabularnewline
33 & 0.091533 & 0.9379 & 0.175214 \tabularnewline
34 & -0.040985 & -0.42 & 0.337681 \tabularnewline
35 & -0.024384 & -0.2499 & 0.401593 \tabularnewline
36 & 0.067146 & 0.688 & 0.246471 \tabularnewline
37 & -0.114487 & -1.1731 & 0.121697 \tabularnewline
38 & 0.026585 & 0.2724 & 0.392918 \tabularnewline
39 & 0.031414 & 0.3219 & 0.374086 \tabularnewline
40 & 0.09171 & 0.9397 & 0.174752 \tabularnewline
41 & 0.094029 & 0.9635 & 0.168753 \tabularnewline
42 & -0.021074 & -0.2159 & 0.414723 \tabularnewline
43 & -0.05175 & -0.5303 & 0.298518 \tabularnewline
44 & -0.154156 & -1.5796 & 0.0586 \tabularnewline
45 & -0.07047 & -0.7221 & 0.235919 \tabularnewline
46 & -0.094058 & -0.9638 & 0.168678 \tabularnewline
47 & 0.015042 & 0.1541 & 0.438901 \tabularnewline
48 & 0.034662 & 0.3552 & 0.361585 \tabularnewline
49 & 0.034455 & 0.3531 & 0.362377 \tabularnewline
50 & -0.143513 & -1.4706 & 0.072199 \tabularnewline
51 & 0.078637 & 0.8058 & 0.211093 \tabularnewline
52 & -0.091798 & -0.9406 & 0.174523 \tabularnewline
53 & -0.047677 & -0.4885 & 0.31309 \tabularnewline
54 & -0.060254 & -0.6174 & 0.269148 \tabularnewline
55 & 0.014824 & 0.1519 & 0.439777 \tabularnewline
56 & 0.122696 & 1.2573 & 0.105725 \tabularnewline
57 & -0.009806 & -0.1005 & 0.460077 \tabularnewline
58 & -0.030218 & -0.3096 & 0.378722 \tabularnewline
59 & -0.074847 & -0.767 & 0.222414 \tabularnewline
60 & 0.005356 & 0.0549 & 0.478168 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35619&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]0.374375[/C][C]3.8362[/C][C]0.000107[/C][/ROW]
[ROW][C]2[/C][C]-0.292879[/C][C]-3.0011[/C][C]0.00168[/C][/ROW]
[ROW][C]3[/C][C]-0.279276[/C][C]-2.8617[/C][C]0.002543[/C][/ROW]
[ROW][C]4[/C][C]-0.192025[/C][C]-1.9677[/C][C]0.025872[/C][/ROW]
[ROW][C]5[/C][C]0.060297[/C][C]0.6179[/C][C]0.269001[/C][/ROW]
[ROW][C]6[/C][C]0.077219[/C][C]0.7913[/C][C]0.215287[/C][/ROW]
[ROW][C]7[/C][C]-0.211115[/C][C]-2.1633[/C][C]0.016394[/C][/ROW]
[ROW][C]8[/C][C]-0.170819[/C][C]-1.7504[/C][C]0.041487[/C][/ROW]
[ROW][C]9[/C][C]0.006675[/C][C]0.0684[/C][C]0.472799[/C][/ROW]
[ROW][C]10[/C][C]-0.045534[/C][C]-0.4666[/C][C]0.320882[/C][/ROW]
[ROW][C]11[/C][C]0.116907[/C][C]1.1979[/C][C]0.116819[/C][/ROW]
[ROW][C]12[/C][C]0.38591[/C][C]3.9544[/C][C]7e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.275141[/C][C]-2.8194[/C][C]0.002876[/C][/ROW]
[ROW][C]14[/C][C]0.268029[/C][C]2.7465[/C][C]0.003545[/C][/ROW]
[ROW][C]15[/C][C]0.12566[/C][C]1.2876[/C][C]0.100352[/C][/ROW]
[ROW][C]16[/C][C]0.123241[/C][C]1.2628[/C][C]0.10472[/C][/ROW]
[ROW][C]17[/C][C]-0.047453[/C][C]-0.4863[/C][C]0.3139[/C][/ROW]
[ROW][C]18[/C][C]0.03606[/C][C]0.3695[/C][C]0.356249[/C][/ROW]
[ROW][C]19[/C][C]-0.040777[/C][C]-0.4178[/C][C]0.33846[/C][/ROW]
[ROW][C]20[/C][C]-0.086849[/C][C]-0.8899[/C][C]0.187768[/C][/ROW]
[ROW][C]21[/C][C]-0.106313[/C][C]-1.0894[/C][C]0.139239[/C][/ROW]
[ROW][C]22[/C][C]0.006354[/C][C]0.0651[/C][C]0.474105[/C][/ROW]
[ROW][C]23[/C][C]-0.072986[/C][C]-0.7479[/C][C]0.228101[/C][/ROW]
[ROW][C]24[/C][C]-0.007127[/C][C]-0.073[/C][C]0.470961[/C][/ROW]
[ROW][C]25[/C][C]-0.100442[/C][C]-1.0292[/C][C]0.152871[/C][/ROW]
[ROW][C]26[/C][C]-0.030789[/C][C]-0.3155[/C][C]0.376508[/C][/ROW]
[ROW][C]27[/C][C]0.030878[/C][C]0.3164[/C][C]0.376161[/C][/ROW]
[ROW][C]28[/C][C]-0.010429[/C][C]-0.1069[/C][C]0.457549[/C][/ROW]
[ROW][C]29[/C][C]-0.037854[/C][C]-0.3879[/C][C]0.349442[/C][/ROW]
[ROW][C]30[/C][C]-0.129642[/C][C]-1.3284[/C][C]0.093456[/C][/ROW]
[ROW][C]31[/C][C]0.104536[/C][C]1.0712[/C][C]0.143273[/C][/ROW]
[ROW][C]32[/C][C]-0.034272[/C][C]-0.3512[/C][C]0.363077[/C][/ROW]
[ROW][C]33[/C][C]0.091533[/C][C]0.9379[/C][C]0.175214[/C][/ROW]
[ROW][C]34[/C][C]-0.040985[/C][C]-0.42[/C][C]0.337681[/C][/ROW]
[ROW][C]35[/C][C]-0.024384[/C][C]-0.2499[/C][C]0.401593[/C][/ROW]
[ROW][C]36[/C][C]0.067146[/C][C]0.688[/C][C]0.246471[/C][/ROW]
[ROW][C]37[/C][C]-0.114487[/C][C]-1.1731[/C][C]0.121697[/C][/ROW]
[ROW][C]38[/C][C]0.026585[/C][C]0.2724[/C][C]0.392918[/C][/ROW]
[ROW][C]39[/C][C]0.031414[/C][C]0.3219[/C][C]0.374086[/C][/ROW]
[ROW][C]40[/C][C]0.09171[/C][C]0.9397[/C][C]0.174752[/C][/ROW]
[ROW][C]41[/C][C]0.094029[/C][C]0.9635[/C][C]0.168753[/C][/ROW]
[ROW][C]42[/C][C]-0.021074[/C][C]-0.2159[/C][C]0.414723[/C][/ROW]
[ROW][C]43[/C][C]-0.05175[/C][C]-0.5303[/C][C]0.298518[/C][/ROW]
[ROW][C]44[/C][C]-0.154156[/C][C]-1.5796[/C][C]0.0586[/C][/ROW]
[ROW][C]45[/C][C]-0.07047[/C][C]-0.7221[/C][C]0.235919[/C][/ROW]
[ROW][C]46[/C][C]-0.094058[/C][C]-0.9638[/C][C]0.168678[/C][/ROW]
[ROW][C]47[/C][C]0.015042[/C][C]0.1541[/C][C]0.438901[/C][/ROW]
[ROW][C]48[/C][C]0.034662[/C][C]0.3552[/C][C]0.361585[/C][/ROW]
[ROW][C]49[/C][C]0.034455[/C][C]0.3531[/C][C]0.362377[/C][/ROW]
[ROW][C]50[/C][C]-0.143513[/C][C]-1.4706[/C][C]0.072199[/C][/ROW]
[ROW][C]51[/C][C]0.078637[/C][C]0.8058[/C][C]0.211093[/C][/ROW]
[ROW][C]52[/C][C]-0.091798[/C][C]-0.9406[/C][C]0.174523[/C][/ROW]
[ROW][C]53[/C][C]-0.047677[/C][C]-0.4885[/C][C]0.31309[/C][/ROW]
[ROW][C]54[/C][C]-0.060254[/C][C]-0.6174[/C][C]0.269148[/C][/ROW]
[ROW][C]55[/C][C]0.014824[/C][C]0.1519[/C][C]0.439777[/C][/ROW]
[ROW][C]56[/C][C]0.122696[/C][C]1.2573[/C][C]0.105725[/C][/ROW]
[ROW][C]57[/C][C]-0.009806[/C][C]-0.1005[/C][C]0.460077[/C][/ROW]
[ROW][C]58[/C][C]-0.030218[/C][C]-0.3096[/C][C]0.378722[/C][/ROW]
[ROW][C]59[/C][C]-0.074847[/C][C]-0.767[/C][C]0.222414[/C][/ROW]
[ROW][C]60[/C][C]0.005356[/C][C]0.0549[/C][C]0.478168[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35619&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35619&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
10.3743753.83620.000107
2-0.292879-3.00110.00168
3-0.279276-2.86170.002543
4-0.192025-1.96770.025872
50.0602970.61790.269001
60.0772190.79130.215287
7-0.211115-2.16330.016394
8-0.170819-1.75040.041487
90.0066750.06840.472799
10-0.045534-0.46660.320882
110.1169071.19790.116819
120.385913.95447e-05
13-0.275141-2.81940.002876
140.2680292.74650.003545
150.125661.28760.100352
160.1232411.26280.10472
17-0.047453-0.48630.3139
180.036060.36950.356249
19-0.040777-0.41780.33846
20-0.086849-0.88990.187768
21-0.106313-1.08940.139239
220.0063540.06510.474105
23-0.072986-0.74790.228101
24-0.007127-0.0730.470961
25-0.100442-1.02920.152871
26-0.030789-0.31550.376508
270.0308780.31640.376161
28-0.010429-0.10690.457549
29-0.037854-0.38790.349442
30-0.129642-1.32840.093456
310.1045361.07120.143273
32-0.034272-0.35120.363077
330.0915330.93790.175214
34-0.040985-0.420.337681
35-0.024384-0.24990.401593
360.0671460.6880.246471
37-0.114487-1.17310.121697
380.0265850.27240.392918
390.0314140.32190.374086
400.091710.93970.174752
410.0940290.96350.168753
42-0.021074-0.21590.414723
43-0.05175-0.53030.298518
44-0.154156-1.57960.0586
45-0.07047-0.72210.235919
46-0.094058-0.96380.168678
470.0150420.15410.438901
480.0346620.35520.361585
490.0344550.35310.362377
50-0.143513-1.47060.072199
510.0786370.80580.211093
52-0.091798-0.94060.174523
53-0.047677-0.48850.31309
54-0.060254-0.61740.269148
550.0148240.15190.439777
560.1226961.25730.105725
57-0.009806-0.10050.460077
58-0.030218-0.30960.378722
59-0.074847-0.7670.222414
600.0053560.05490.478168



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')