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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 computationThu, 18 Dec 2008 03:05:28 -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/18/t1229594810ny8eoeihesfjndz.htm/, Retrieved Sat, 11 May 2024 19:19:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34622, Retrieved Sat, 11 May 2024 19:19:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Auto Correlation ...] [2008-12-18 10:05:28] [ee6d9573aeb8a2216fa3549ce57cd52f] [Current]
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Dataseries X:
0
9
1
4
6
21
24
23
22
21
20
16
18
18
24
16
15
24
18
15
4
3
6
5
12
12
12
14
12
17
12
20
21
15
22
19
19
26
25
19
20
30
31
35
33
26
25
17
14
8
12
7
4
10
8
16
14
20
9
10




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=34622&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=34622&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34622&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
1-0.18175-1.3960.083966
20.0892540.68560.247834
3-0.065483-0.5030.308425
4-0.052726-0.4050.343473
50.0731920.56220.288054
6-0.192068-1.47530.072724
70.1341341.03030.153537
8-0.181552-1.39450.084194
90.0913120.70140.242912
10-0.026856-0.20630.418641
11-0.108562-0.83390.203856
120.1653741.27030.104489
130.0258030.19820.421787
14-0.060234-0.46270.322653
15-0.163915-1.25910.106484
16-0.039395-0.30260.381631
17-0.035809-0.27510.392116
18-0.009029-0.06940.472471
190.1240240.95260.172328
20-0.03955-0.30380.381179
21-0.047803-0.36720.357397
22-0.13878-1.0660.145385
23-0.027309-0.20980.417289
240.0987770.75870.22552
25-0.060043-0.46120.323175
260.1554571.19410.118611
27-0.069071-0.53050.298862
280.0893220.68610.24767
290.0609730.46830.320632
30-0.02654-0.20390.419584
310.1012980.77810.219815
32-0.025392-0.1950.423016
330.0618710.47520.318186
34-0.101772-0.78170.218752
35-0.118341-0.9090.183526
360.1929621.48220.071809
37-0.008519-0.06540.474023
380.1159130.89030.188449
39-0.0613-0.47090.319739
400.0300170.23060.409225
41-0.054662-0.41990.338055
42-0.091749-0.70470.241873
430.0598930.460.323586
44-0.155247-1.19250.118925
450.0551850.42390.336595
46-0.115041-0.88360.190238
470.0176970.13590.446167
48-0.017255-0.13250.447506
490.0438710.3370.368665
500.0627290.48180.315855
51-0.041228-0.31670.376302
520.0820330.63010.265529
53-0.140449-1.07880.142532
540.0553010.42480.336273
55-0.056253-0.43210.333626
560.084240.64710.260053
57-0.061207-0.47010.319994
580.0042580.03270.487009
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.18175 & -1.396 & 0.083966 \tabularnewline
2 & 0.089254 & 0.6856 & 0.247834 \tabularnewline
3 & -0.065483 & -0.503 & 0.308425 \tabularnewline
4 & -0.052726 & -0.405 & 0.343473 \tabularnewline
5 & 0.073192 & 0.5622 & 0.288054 \tabularnewline
6 & -0.192068 & -1.4753 & 0.072724 \tabularnewline
7 & 0.134134 & 1.0303 & 0.153537 \tabularnewline
8 & -0.181552 & -1.3945 & 0.084194 \tabularnewline
9 & 0.091312 & 0.7014 & 0.242912 \tabularnewline
10 & -0.026856 & -0.2063 & 0.418641 \tabularnewline
11 & -0.108562 & -0.8339 & 0.203856 \tabularnewline
12 & 0.165374 & 1.2703 & 0.104489 \tabularnewline
13 & 0.025803 & 0.1982 & 0.421787 \tabularnewline
14 & -0.060234 & -0.4627 & 0.322653 \tabularnewline
15 & -0.163915 & -1.2591 & 0.106484 \tabularnewline
16 & -0.039395 & -0.3026 & 0.381631 \tabularnewline
17 & -0.035809 & -0.2751 & 0.392116 \tabularnewline
18 & -0.009029 & -0.0694 & 0.472471 \tabularnewline
19 & 0.124024 & 0.9526 & 0.172328 \tabularnewline
20 & -0.03955 & -0.3038 & 0.381179 \tabularnewline
21 & -0.047803 & -0.3672 & 0.357397 \tabularnewline
22 & -0.13878 & -1.066 & 0.145385 \tabularnewline
23 & -0.027309 & -0.2098 & 0.417289 \tabularnewline
24 & 0.098777 & 0.7587 & 0.22552 \tabularnewline
25 & -0.060043 & -0.4612 & 0.323175 \tabularnewline
26 & 0.155457 & 1.1941 & 0.118611 \tabularnewline
27 & -0.069071 & -0.5305 & 0.298862 \tabularnewline
28 & 0.089322 & 0.6861 & 0.24767 \tabularnewline
29 & 0.060973 & 0.4683 & 0.320632 \tabularnewline
30 & -0.02654 & -0.2039 & 0.419584 \tabularnewline
31 & 0.101298 & 0.7781 & 0.219815 \tabularnewline
32 & -0.025392 & -0.195 & 0.423016 \tabularnewline
33 & 0.061871 & 0.4752 & 0.318186 \tabularnewline
34 & -0.101772 & -0.7817 & 0.218752 \tabularnewline
35 & -0.118341 & -0.909 & 0.183526 \tabularnewline
36 & 0.192962 & 1.4822 & 0.071809 \tabularnewline
37 & -0.008519 & -0.0654 & 0.474023 \tabularnewline
38 & 0.115913 & 0.8903 & 0.188449 \tabularnewline
39 & -0.0613 & -0.4709 & 0.319739 \tabularnewline
40 & 0.030017 & 0.2306 & 0.409225 \tabularnewline
41 & -0.054662 & -0.4199 & 0.338055 \tabularnewline
42 & -0.091749 & -0.7047 & 0.241873 \tabularnewline
43 & 0.059893 & 0.46 & 0.323586 \tabularnewline
44 & -0.155247 & -1.1925 & 0.118925 \tabularnewline
45 & 0.055185 & 0.4239 & 0.336595 \tabularnewline
46 & -0.115041 & -0.8836 & 0.190238 \tabularnewline
47 & 0.017697 & 0.1359 & 0.446167 \tabularnewline
48 & -0.017255 & -0.1325 & 0.447506 \tabularnewline
49 & 0.043871 & 0.337 & 0.368665 \tabularnewline
50 & 0.062729 & 0.4818 & 0.315855 \tabularnewline
51 & -0.041228 & -0.3167 & 0.376302 \tabularnewline
52 & 0.082033 & 0.6301 & 0.265529 \tabularnewline
53 & -0.140449 & -1.0788 & 0.142532 \tabularnewline
54 & 0.055301 & 0.4248 & 0.336273 \tabularnewline
55 & -0.056253 & -0.4321 & 0.333626 \tabularnewline
56 & 0.08424 & 0.6471 & 0.260053 \tabularnewline
57 & -0.061207 & -0.4701 & 0.319994 \tabularnewline
58 & 0.004258 & 0.0327 & 0.487009 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34622&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]-0.18175[/C][C]-1.396[/C][C]0.083966[/C][/ROW]
[ROW][C]2[/C][C]0.089254[/C][C]0.6856[/C][C]0.247834[/C][/ROW]
[ROW][C]3[/C][C]-0.065483[/C][C]-0.503[/C][C]0.308425[/C][/ROW]
[ROW][C]4[/C][C]-0.052726[/C][C]-0.405[/C][C]0.343473[/C][/ROW]
[ROW][C]5[/C][C]0.073192[/C][C]0.5622[/C][C]0.288054[/C][/ROW]
[ROW][C]6[/C][C]-0.192068[/C][C]-1.4753[/C][C]0.072724[/C][/ROW]
[ROW][C]7[/C][C]0.134134[/C][C]1.0303[/C][C]0.153537[/C][/ROW]
[ROW][C]8[/C][C]-0.181552[/C][C]-1.3945[/C][C]0.084194[/C][/ROW]
[ROW][C]9[/C][C]0.091312[/C][C]0.7014[/C][C]0.242912[/C][/ROW]
[ROW][C]10[/C][C]-0.026856[/C][C]-0.2063[/C][C]0.418641[/C][/ROW]
[ROW][C]11[/C][C]-0.108562[/C][C]-0.8339[/C][C]0.203856[/C][/ROW]
[ROW][C]12[/C][C]0.165374[/C][C]1.2703[/C][C]0.104489[/C][/ROW]
[ROW][C]13[/C][C]0.025803[/C][C]0.1982[/C][C]0.421787[/C][/ROW]
[ROW][C]14[/C][C]-0.060234[/C][C]-0.4627[/C][C]0.322653[/C][/ROW]
[ROW][C]15[/C][C]-0.163915[/C][C]-1.2591[/C][C]0.106484[/C][/ROW]
[ROW][C]16[/C][C]-0.039395[/C][C]-0.3026[/C][C]0.381631[/C][/ROW]
[ROW][C]17[/C][C]-0.035809[/C][C]-0.2751[/C][C]0.392116[/C][/ROW]
[ROW][C]18[/C][C]-0.009029[/C][C]-0.0694[/C][C]0.472471[/C][/ROW]
[ROW][C]19[/C][C]0.124024[/C][C]0.9526[/C][C]0.172328[/C][/ROW]
[ROW][C]20[/C][C]-0.03955[/C][C]-0.3038[/C][C]0.381179[/C][/ROW]
[ROW][C]21[/C][C]-0.047803[/C][C]-0.3672[/C][C]0.357397[/C][/ROW]
[ROW][C]22[/C][C]-0.13878[/C][C]-1.066[/C][C]0.145385[/C][/ROW]
[ROW][C]23[/C][C]-0.027309[/C][C]-0.2098[/C][C]0.417289[/C][/ROW]
[ROW][C]24[/C][C]0.098777[/C][C]0.7587[/C][C]0.22552[/C][/ROW]
[ROW][C]25[/C][C]-0.060043[/C][C]-0.4612[/C][C]0.323175[/C][/ROW]
[ROW][C]26[/C][C]0.155457[/C][C]1.1941[/C][C]0.118611[/C][/ROW]
[ROW][C]27[/C][C]-0.069071[/C][C]-0.5305[/C][C]0.298862[/C][/ROW]
[ROW][C]28[/C][C]0.089322[/C][C]0.6861[/C][C]0.24767[/C][/ROW]
[ROW][C]29[/C][C]0.060973[/C][C]0.4683[/C][C]0.320632[/C][/ROW]
[ROW][C]30[/C][C]-0.02654[/C][C]-0.2039[/C][C]0.419584[/C][/ROW]
[ROW][C]31[/C][C]0.101298[/C][C]0.7781[/C][C]0.219815[/C][/ROW]
[ROW][C]32[/C][C]-0.025392[/C][C]-0.195[/C][C]0.423016[/C][/ROW]
[ROW][C]33[/C][C]0.061871[/C][C]0.4752[/C][C]0.318186[/C][/ROW]
[ROW][C]34[/C][C]-0.101772[/C][C]-0.7817[/C][C]0.218752[/C][/ROW]
[ROW][C]35[/C][C]-0.118341[/C][C]-0.909[/C][C]0.183526[/C][/ROW]
[ROW][C]36[/C][C]0.192962[/C][C]1.4822[/C][C]0.071809[/C][/ROW]
[ROW][C]37[/C][C]-0.008519[/C][C]-0.0654[/C][C]0.474023[/C][/ROW]
[ROW][C]38[/C][C]0.115913[/C][C]0.8903[/C][C]0.188449[/C][/ROW]
[ROW][C]39[/C][C]-0.0613[/C][C]-0.4709[/C][C]0.319739[/C][/ROW]
[ROW][C]40[/C][C]0.030017[/C][C]0.2306[/C][C]0.409225[/C][/ROW]
[ROW][C]41[/C][C]-0.054662[/C][C]-0.4199[/C][C]0.338055[/C][/ROW]
[ROW][C]42[/C][C]-0.091749[/C][C]-0.7047[/C][C]0.241873[/C][/ROW]
[ROW][C]43[/C][C]0.059893[/C][C]0.46[/C][C]0.323586[/C][/ROW]
[ROW][C]44[/C][C]-0.155247[/C][C]-1.1925[/C][C]0.118925[/C][/ROW]
[ROW][C]45[/C][C]0.055185[/C][C]0.4239[/C][C]0.336595[/C][/ROW]
[ROW][C]46[/C][C]-0.115041[/C][C]-0.8836[/C][C]0.190238[/C][/ROW]
[ROW][C]47[/C][C]0.017697[/C][C]0.1359[/C][C]0.446167[/C][/ROW]
[ROW][C]48[/C][C]-0.017255[/C][C]-0.1325[/C][C]0.447506[/C][/ROW]
[ROW][C]49[/C][C]0.043871[/C][C]0.337[/C][C]0.368665[/C][/ROW]
[ROW][C]50[/C][C]0.062729[/C][C]0.4818[/C][C]0.315855[/C][/ROW]
[ROW][C]51[/C][C]-0.041228[/C][C]-0.3167[/C][C]0.376302[/C][/ROW]
[ROW][C]52[/C][C]0.082033[/C][C]0.6301[/C][C]0.265529[/C][/ROW]
[ROW][C]53[/C][C]-0.140449[/C][C]-1.0788[/C][C]0.142532[/C][/ROW]
[ROW][C]54[/C][C]0.055301[/C][C]0.4248[/C][C]0.336273[/C][/ROW]
[ROW][C]55[/C][C]-0.056253[/C][C]-0.4321[/C][C]0.333626[/C][/ROW]
[ROW][C]56[/C][C]0.08424[/C][C]0.6471[/C][C]0.260053[/C][/ROW]
[ROW][C]57[/C][C]-0.061207[/C][C]-0.4701[/C][C]0.319994[/C][/ROW]
[ROW][C]58[/C][C]0.004258[/C][C]0.0327[/C][C]0.487009[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/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=34622&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34622&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
1-0.18175-1.3960.083966
20.0892540.68560.247834
3-0.065483-0.5030.308425
4-0.052726-0.4050.343473
50.0731920.56220.288054
6-0.192068-1.47530.072724
70.1341341.03030.153537
8-0.181552-1.39450.084194
90.0913120.70140.242912
10-0.026856-0.20630.418641
11-0.108562-0.83390.203856
120.1653741.27030.104489
130.0258030.19820.421787
14-0.060234-0.46270.322653
15-0.163915-1.25910.106484
16-0.039395-0.30260.381631
17-0.035809-0.27510.392116
18-0.009029-0.06940.472471
190.1240240.95260.172328
20-0.03955-0.30380.381179
21-0.047803-0.36720.357397
22-0.13878-1.0660.145385
23-0.027309-0.20980.417289
240.0987770.75870.22552
25-0.060043-0.46120.323175
260.1554571.19410.118611
27-0.069071-0.53050.298862
280.0893220.68610.24767
290.0609730.46830.320632
30-0.02654-0.20390.419584
310.1012980.77810.219815
32-0.025392-0.1950.423016
330.0618710.47520.318186
34-0.101772-0.78170.218752
35-0.118341-0.9090.183526
360.1929621.48220.071809
37-0.008519-0.06540.474023
380.1159130.89030.188449
39-0.0613-0.47090.319739
400.0300170.23060.409225
41-0.054662-0.41990.338055
42-0.091749-0.70470.241873
430.0598930.460.323586
44-0.155247-1.19250.118925
450.0551850.42390.336595
46-0.115041-0.88360.190238
470.0176970.13590.446167
48-0.017255-0.13250.447506
490.0438710.3370.368665
500.0627290.48180.315855
51-0.041228-0.31670.376302
520.0820330.63010.265529
53-0.140449-1.07880.142532
540.0553010.42480.336273
55-0.056253-0.43210.333626
560.084240.64710.260053
57-0.061207-0.47010.319994
580.0042580.03270.487009
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.18175-1.3960.083966
20.0581410.44660.328402
3-0.04113-0.31590.376587
4-0.078804-0.60530.273649
50.0609430.46810.320714
6-0.171495-1.31730.096419
70.0639950.49160.312428
8-0.134261-1.03130.153309
90.0208040.15980.436793
10-0.006802-0.05220.479255
11-0.121385-0.93240.177471
120.1004710.77170.221677
130.1287740.98910.163318
14-0.149678-1.14970.127454
15-0.168297-1.29270.100575
16-0.08965-0.68860.246882
17-0.081815-0.62840.266074
18-0.002456-0.01890.492507
190.1023820.78640.217388
20-0.007564-0.05810.476932
21-0.120002-0.92180.180206
22-0.24359-1.87110.03315
23-0.110495-0.84870.199731
240.1081350.83060.204775
25-0.090541-0.69550.244749
260.1034740.79480.214958
270.055650.42750.335302
280.0097040.07450.470416
290.0580980.44630.328522
30-0.037406-0.28730.387436
31-0.025922-0.19910.42143
320.0361160.27740.391216
330.0198570.15250.439646
340.0924190.70990.240285
35-0.093329-0.71690.23814
360.094470.72560.235465
370.0433050.33260.370296
380.0144890.11130.455881
39-0.022207-0.17060.43257
400.0918750.70570.241575
41-0.025394-0.19510.42301
42-0.052437-0.40280.344285
430.0182980.14060.444351
44-0.092724-0.71220.239567
45-0.053905-0.41410.340169
46-0.065865-0.50590.3074
470.0516240.39650.346573
480.0282170.21670.414578
490.0002890.00220.499118
500.0030730.02360.490625
510.0854990.65670.256955
52-0.010229-0.07860.46882
53-0.066986-0.51450.304402
540.08540.6560.257196
55-0.082807-0.6360.263602
560.018220.13990.444589
57-0.099628-0.76530.223584
580.039610.30420.381005
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.18175 & -1.396 & 0.083966 \tabularnewline
2 & 0.058141 & 0.4466 & 0.328402 \tabularnewline
3 & -0.04113 & -0.3159 & 0.376587 \tabularnewline
4 & -0.078804 & -0.6053 & 0.273649 \tabularnewline
5 & 0.060943 & 0.4681 & 0.320714 \tabularnewline
6 & -0.171495 & -1.3173 & 0.096419 \tabularnewline
7 & 0.063995 & 0.4916 & 0.312428 \tabularnewline
8 & -0.134261 & -1.0313 & 0.153309 \tabularnewline
9 & 0.020804 & 0.1598 & 0.436793 \tabularnewline
10 & -0.006802 & -0.0522 & 0.479255 \tabularnewline
11 & -0.121385 & -0.9324 & 0.177471 \tabularnewline
12 & 0.100471 & 0.7717 & 0.221677 \tabularnewline
13 & 0.128774 & 0.9891 & 0.163318 \tabularnewline
14 & -0.149678 & -1.1497 & 0.127454 \tabularnewline
15 & -0.168297 & -1.2927 & 0.100575 \tabularnewline
16 & -0.08965 & -0.6886 & 0.246882 \tabularnewline
17 & -0.081815 & -0.6284 & 0.266074 \tabularnewline
18 & -0.002456 & -0.0189 & 0.492507 \tabularnewline
19 & 0.102382 & 0.7864 & 0.217388 \tabularnewline
20 & -0.007564 & -0.0581 & 0.476932 \tabularnewline
21 & -0.120002 & -0.9218 & 0.180206 \tabularnewline
22 & -0.24359 & -1.8711 & 0.03315 \tabularnewline
23 & -0.110495 & -0.8487 & 0.199731 \tabularnewline
24 & 0.108135 & 0.8306 & 0.204775 \tabularnewline
25 & -0.090541 & -0.6955 & 0.244749 \tabularnewline
26 & 0.103474 & 0.7948 & 0.214958 \tabularnewline
27 & 0.05565 & 0.4275 & 0.335302 \tabularnewline
28 & 0.009704 & 0.0745 & 0.470416 \tabularnewline
29 & 0.058098 & 0.4463 & 0.328522 \tabularnewline
30 & -0.037406 & -0.2873 & 0.387436 \tabularnewline
31 & -0.025922 & -0.1991 & 0.42143 \tabularnewline
32 & 0.036116 & 0.2774 & 0.391216 \tabularnewline
33 & 0.019857 & 0.1525 & 0.439646 \tabularnewline
34 & 0.092419 & 0.7099 & 0.240285 \tabularnewline
35 & -0.093329 & -0.7169 & 0.23814 \tabularnewline
36 & 0.09447 & 0.7256 & 0.235465 \tabularnewline
37 & 0.043305 & 0.3326 & 0.370296 \tabularnewline
38 & 0.014489 & 0.1113 & 0.455881 \tabularnewline
39 & -0.022207 & -0.1706 & 0.43257 \tabularnewline
40 & 0.091875 & 0.7057 & 0.241575 \tabularnewline
41 & -0.025394 & -0.1951 & 0.42301 \tabularnewline
42 & -0.052437 & -0.4028 & 0.344285 \tabularnewline
43 & 0.018298 & 0.1406 & 0.444351 \tabularnewline
44 & -0.092724 & -0.7122 & 0.239567 \tabularnewline
45 & -0.053905 & -0.4141 & 0.340169 \tabularnewline
46 & -0.065865 & -0.5059 & 0.3074 \tabularnewline
47 & 0.051624 & 0.3965 & 0.346573 \tabularnewline
48 & 0.028217 & 0.2167 & 0.414578 \tabularnewline
49 & 0.000289 & 0.0022 & 0.499118 \tabularnewline
50 & 0.003073 & 0.0236 & 0.490625 \tabularnewline
51 & 0.085499 & 0.6567 & 0.256955 \tabularnewline
52 & -0.010229 & -0.0786 & 0.46882 \tabularnewline
53 & -0.066986 & -0.5145 & 0.304402 \tabularnewline
54 & 0.0854 & 0.656 & 0.257196 \tabularnewline
55 & -0.082807 & -0.636 & 0.263602 \tabularnewline
56 & 0.01822 & 0.1399 & 0.444589 \tabularnewline
57 & -0.099628 & -0.7653 & 0.223584 \tabularnewline
58 & 0.03961 & 0.3042 & 0.381005 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34622&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]-0.18175[/C][C]-1.396[/C][C]0.083966[/C][/ROW]
[ROW][C]2[/C][C]0.058141[/C][C]0.4466[/C][C]0.328402[/C][/ROW]
[ROW][C]3[/C][C]-0.04113[/C][C]-0.3159[/C][C]0.376587[/C][/ROW]
[ROW][C]4[/C][C]-0.078804[/C][C]-0.6053[/C][C]0.273649[/C][/ROW]
[ROW][C]5[/C][C]0.060943[/C][C]0.4681[/C][C]0.320714[/C][/ROW]
[ROW][C]6[/C][C]-0.171495[/C][C]-1.3173[/C][C]0.096419[/C][/ROW]
[ROW][C]7[/C][C]0.063995[/C][C]0.4916[/C][C]0.312428[/C][/ROW]
[ROW][C]8[/C][C]-0.134261[/C][C]-1.0313[/C][C]0.153309[/C][/ROW]
[ROW][C]9[/C][C]0.020804[/C][C]0.1598[/C][C]0.436793[/C][/ROW]
[ROW][C]10[/C][C]-0.006802[/C][C]-0.0522[/C][C]0.479255[/C][/ROW]
[ROW][C]11[/C][C]-0.121385[/C][C]-0.9324[/C][C]0.177471[/C][/ROW]
[ROW][C]12[/C][C]0.100471[/C][C]0.7717[/C][C]0.221677[/C][/ROW]
[ROW][C]13[/C][C]0.128774[/C][C]0.9891[/C][C]0.163318[/C][/ROW]
[ROW][C]14[/C][C]-0.149678[/C][C]-1.1497[/C][C]0.127454[/C][/ROW]
[ROW][C]15[/C][C]-0.168297[/C][C]-1.2927[/C][C]0.100575[/C][/ROW]
[ROW][C]16[/C][C]-0.08965[/C][C]-0.6886[/C][C]0.246882[/C][/ROW]
[ROW][C]17[/C][C]-0.081815[/C][C]-0.6284[/C][C]0.266074[/C][/ROW]
[ROW][C]18[/C][C]-0.002456[/C][C]-0.0189[/C][C]0.492507[/C][/ROW]
[ROW][C]19[/C][C]0.102382[/C][C]0.7864[/C][C]0.217388[/C][/ROW]
[ROW][C]20[/C][C]-0.007564[/C][C]-0.0581[/C][C]0.476932[/C][/ROW]
[ROW][C]21[/C][C]-0.120002[/C][C]-0.9218[/C][C]0.180206[/C][/ROW]
[ROW][C]22[/C][C]-0.24359[/C][C]-1.8711[/C][C]0.03315[/C][/ROW]
[ROW][C]23[/C][C]-0.110495[/C][C]-0.8487[/C][C]0.199731[/C][/ROW]
[ROW][C]24[/C][C]0.108135[/C][C]0.8306[/C][C]0.204775[/C][/ROW]
[ROW][C]25[/C][C]-0.090541[/C][C]-0.6955[/C][C]0.244749[/C][/ROW]
[ROW][C]26[/C][C]0.103474[/C][C]0.7948[/C][C]0.214958[/C][/ROW]
[ROW][C]27[/C][C]0.05565[/C][C]0.4275[/C][C]0.335302[/C][/ROW]
[ROW][C]28[/C][C]0.009704[/C][C]0.0745[/C][C]0.470416[/C][/ROW]
[ROW][C]29[/C][C]0.058098[/C][C]0.4463[/C][C]0.328522[/C][/ROW]
[ROW][C]30[/C][C]-0.037406[/C][C]-0.2873[/C][C]0.387436[/C][/ROW]
[ROW][C]31[/C][C]-0.025922[/C][C]-0.1991[/C][C]0.42143[/C][/ROW]
[ROW][C]32[/C][C]0.036116[/C][C]0.2774[/C][C]0.391216[/C][/ROW]
[ROW][C]33[/C][C]0.019857[/C][C]0.1525[/C][C]0.439646[/C][/ROW]
[ROW][C]34[/C][C]0.092419[/C][C]0.7099[/C][C]0.240285[/C][/ROW]
[ROW][C]35[/C][C]-0.093329[/C][C]-0.7169[/C][C]0.23814[/C][/ROW]
[ROW][C]36[/C][C]0.09447[/C][C]0.7256[/C][C]0.235465[/C][/ROW]
[ROW][C]37[/C][C]0.043305[/C][C]0.3326[/C][C]0.370296[/C][/ROW]
[ROW][C]38[/C][C]0.014489[/C][C]0.1113[/C][C]0.455881[/C][/ROW]
[ROW][C]39[/C][C]-0.022207[/C][C]-0.1706[/C][C]0.43257[/C][/ROW]
[ROW][C]40[/C][C]0.091875[/C][C]0.7057[/C][C]0.241575[/C][/ROW]
[ROW][C]41[/C][C]-0.025394[/C][C]-0.1951[/C][C]0.42301[/C][/ROW]
[ROW][C]42[/C][C]-0.052437[/C][C]-0.4028[/C][C]0.344285[/C][/ROW]
[ROW][C]43[/C][C]0.018298[/C][C]0.1406[/C][C]0.444351[/C][/ROW]
[ROW][C]44[/C][C]-0.092724[/C][C]-0.7122[/C][C]0.239567[/C][/ROW]
[ROW][C]45[/C][C]-0.053905[/C][C]-0.4141[/C][C]0.340169[/C][/ROW]
[ROW][C]46[/C][C]-0.065865[/C][C]-0.5059[/C][C]0.3074[/C][/ROW]
[ROW][C]47[/C][C]0.051624[/C][C]0.3965[/C][C]0.346573[/C][/ROW]
[ROW][C]48[/C][C]0.028217[/C][C]0.2167[/C][C]0.414578[/C][/ROW]
[ROW][C]49[/C][C]0.000289[/C][C]0.0022[/C][C]0.499118[/C][/ROW]
[ROW][C]50[/C][C]0.003073[/C][C]0.0236[/C][C]0.490625[/C][/ROW]
[ROW][C]51[/C][C]0.085499[/C][C]0.6567[/C][C]0.256955[/C][/ROW]
[ROW][C]52[/C][C]-0.010229[/C][C]-0.0786[/C][C]0.46882[/C][/ROW]
[ROW][C]53[/C][C]-0.066986[/C][C]-0.5145[/C][C]0.304402[/C][/ROW]
[ROW][C]54[/C][C]0.0854[/C][C]0.656[/C][C]0.257196[/C][/ROW]
[ROW][C]55[/C][C]-0.082807[/C][C]-0.636[/C][C]0.263602[/C][/ROW]
[ROW][C]56[/C][C]0.01822[/C][C]0.1399[/C][C]0.444589[/C][/ROW]
[ROW][C]57[/C][C]-0.099628[/C][C]-0.7653[/C][C]0.223584[/C][/ROW]
[ROW][C]58[/C][C]0.03961[/C][C]0.3042[/C][C]0.381005[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/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=34622&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34622&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
1-0.18175-1.3960.083966
20.0581410.44660.328402
3-0.04113-0.31590.376587
4-0.078804-0.60530.273649
50.0609430.46810.320714
6-0.171495-1.31730.096419
70.0639950.49160.312428
8-0.134261-1.03130.153309
90.0208040.15980.436793
10-0.006802-0.05220.479255
11-0.121385-0.93240.177471
120.1004710.77170.221677
130.1287740.98910.163318
14-0.149678-1.14970.127454
15-0.168297-1.29270.100575
16-0.08965-0.68860.246882
17-0.081815-0.62840.266074
18-0.002456-0.01890.492507
190.1023820.78640.217388
20-0.007564-0.05810.476932
21-0.120002-0.92180.180206
22-0.24359-1.87110.03315
23-0.110495-0.84870.199731
240.1081350.83060.204775
25-0.090541-0.69550.244749
260.1034740.79480.214958
270.055650.42750.335302
280.0097040.07450.470416
290.0580980.44630.328522
30-0.037406-0.28730.387436
31-0.025922-0.19910.42143
320.0361160.27740.391216
330.0198570.15250.439646
340.0924190.70990.240285
35-0.093329-0.71690.23814
360.094470.72560.235465
370.0433050.33260.370296
380.0144890.11130.455881
39-0.022207-0.17060.43257
400.0918750.70570.241575
41-0.025394-0.19510.42301
42-0.052437-0.40280.344285
430.0182980.14060.444351
44-0.092724-0.71220.239567
45-0.053905-0.41410.340169
46-0.065865-0.50590.3074
470.0516240.39650.346573
480.0282170.21670.414578
490.0002890.00220.499118
500.0030730.02360.490625
510.0854990.65670.256955
52-0.010229-0.07860.46882
53-0.066986-0.51450.304402
540.08540.6560.257196
55-0.082807-0.6360.263602
560.018220.13990.444589
57-0.099628-0.76530.223584
580.039610.30420.381005
59NANANA
60NANANA



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')