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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 08:56:56 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t1242313116qf2bcaqaowctfqr.htm/, Retrieved Sun, 28 Apr 2024 21:38:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40018, Retrieved Sun, 28 Apr 2024 21:38:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocor Dorien St...] [2009-05-14 14:56:56] [822aa141fddc67f18188afbe1dd38d3f] [Current]
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Dataseries X:
65
65.05
65.84
66.6
67.55
68.07
69.06
69.06
69.11
69.29
69.38
69.28
69.75
69.9
70.21
70.48
71.55
72.18
72.64
72.77
72.74
73.13
73.44
73.34
73.34
73.81
74.26
74.72
75.11
75.26
75.89
75.91
76.43
76.56
76.76
76.76
76.56
76.82
77.09
77.51
77.76
77.86
77.89
77.94
77.99
78.17
78.91
78.87
78.88
79.08
79.41
79.51
79.73
80.38
80.56
80.46
80.45
80.58
80.68
80.52
81.49
81.66
81.95
82.3
82.4
83.14
83.17
83.11
83.21
83.33
83.88
83.8
83.73




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40018&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40018&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40018&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1446121.22710.111897
20.1014240.86060.196153
3-0.01733-0.14710.441751
4-0.035526-0.30150.381969
5-0.077689-0.65920.255931
6-0.208738-1.77120.040379
7-0.04846-0.41120.341076
8-0.05616-0.47650.317568
9-0.058313-0.49480.311122
100.1340641.13760.129536
110.0676670.57420.283821
120.2539212.15460.01727
130.1603341.36050.088961
140.2093761.77660.039928
15-0.026671-0.22630.410802
160.0650490.5520.291344
17-0.135524-1.150.126983
18-0.135575-1.15040.126895
19-0.064436-0.54680.293117
20-0.031097-0.26390.396318
210.029420.24960.401789
220.0203690.17280.431633
230.104660.88810.188729
240.12971.10050.137382
25-0.000459-0.00390.49845
26-0.00321-0.02720.489174
27-0.060062-0.50960.305931
280.1080460.91680.181155
29-0.13917-1.18090.120765
300.0009880.00840.496668
31-0.08441-0.71620.238079
32-0.052776-0.44780.327813
330.0145420.12340.45107
34-0.019977-0.16950.432934
350.0974470.82690.205523
360.0381220.32350.373637
37-0.008885-0.07540.470055
38-0.066784-0.56670.286345
39-0.145853-1.23760.109942
40-0.038991-0.33090.370858
41-0.117681-0.99860.160677
42-0.090087-0.76440.22356
43-0.017929-0.15210.439753
440.1257711.06720.144722
45-0.100923-0.85640.197321
46-0.034234-0.29050.386141
470.05780.49050.312653
480.1231781.04520.149713

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.144612 & 1.2271 & 0.111897 \tabularnewline
2 & 0.101424 & 0.8606 & 0.196153 \tabularnewline
3 & -0.01733 & -0.1471 & 0.441751 \tabularnewline
4 & -0.035526 & -0.3015 & 0.381969 \tabularnewline
5 & -0.077689 & -0.6592 & 0.255931 \tabularnewline
6 & -0.208738 & -1.7712 & 0.040379 \tabularnewline
7 & -0.04846 & -0.4112 & 0.341076 \tabularnewline
8 & -0.05616 & -0.4765 & 0.317568 \tabularnewline
9 & -0.058313 & -0.4948 & 0.311122 \tabularnewline
10 & 0.134064 & 1.1376 & 0.129536 \tabularnewline
11 & 0.067667 & 0.5742 & 0.283821 \tabularnewline
12 & 0.253921 & 2.1546 & 0.01727 \tabularnewline
13 & 0.160334 & 1.3605 & 0.088961 \tabularnewline
14 & 0.209376 & 1.7766 & 0.039928 \tabularnewline
15 & -0.026671 & -0.2263 & 0.410802 \tabularnewline
16 & 0.065049 & 0.552 & 0.291344 \tabularnewline
17 & -0.135524 & -1.15 & 0.126983 \tabularnewline
18 & -0.135575 & -1.1504 & 0.126895 \tabularnewline
19 & -0.064436 & -0.5468 & 0.293117 \tabularnewline
20 & -0.031097 & -0.2639 & 0.396318 \tabularnewline
21 & 0.02942 & 0.2496 & 0.401789 \tabularnewline
22 & 0.020369 & 0.1728 & 0.431633 \tabularnewline
23 & 0.10466 & 0.8881 & 0.188729 \tabularnewline
24 & 0.1297 & 1.1005 & 0.137382 \tabularnewline
25 & -0.000459 & -0.0039 & 0.49845 \tabularnewline
26 & -0.00321 & -0.0272 & 0.489174 \tabularnewline
27 & -0.060062 & -0.5096 & 0.305931 \tabularnewline
28 & 0.108046 & 0.9168 & 0.181155 \tabularnewline
29 & -0.13917 & -1.1809 & 0.120765 \tabularnewline
30 & 0.000988 & 0.0084 & 0.496668 \tabularnewline
31 & -0.08441 & -0.7162 & 0.238079 \tabularnewline
32 & -0.052776 & -0.4478 & 0.327813 \tabularnewline
33 & 0.014542 & 0.1234 & 0.45107 \tabularnewline
34 & -0.019977 & -0.1695 & 0.432934 \tabularnewline
35 & 0.097447 & 0.8269 & 0.205523 \tabularnewline
36 & 0.038122 & 0.3235 & 0.373637 \tabularnewline
37 & -0.008885 & -0.0754 & 0.470055 \tabularnewline
38 & -0.066784 & -0.5667 & 0.286345 \tabularnewline
39 & -0.145853 & -1.2376 & 0.109942 \tabularnewline
40 & -0.038991 & -0.3309 & 0.370858 \tabularnewline
41 & -0.117681 & -0.9986 & 0.160677 \tabularnewline
42 & -0.090087 & -0.7644 & 0.22356 \tabularnewline
43 & -0.017929 & -0.1521 & 0.439753 \tabularnewline
44 & 0.125771 & 1.0672 & 0.144722 \tabularnewline
45 & -0.100923 & -0.8564 & 0.197321 \tabularnewline
46 & -0.034234 & -0.2905 & 0.386141 \tabularnewline
47 & 0.0578 & 0.4905 & 0.312653 \tabularnewline
48 & 0.123178 & 1.0452 & 0.149713 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40018&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]0.144612[/C][C]1.2271[/C][C]0.111897[/C][/ROW]
[ROW][C]2[/C][C]0.101424[/C][C]0.8606[/C][C]0.196153[/C][/ROW]
[ROW][C]3[/C][C]-0.01733[/C][C]-0.1471[/C][C]0.441751[/C][/ROW]
[ROW][C]4[/C][C]-0.035526[/C][C]-0.3015[/C][C]0.381969[/C][/ROW]
[ROW][C]5[/C][C]-0.077689[/C][C]-0.6592[/C][C]0.255931[/C][/ROW]
[ROW][C]6[/C][C]-0.208738[/C][C]-1.7712[/C][C]0.040379[/C][/ROW]
[ROW][C]7[/C][C]-0.04846[/C][C]-0.4112[/C][C]0.341076[/C][/ROW]
[ROW][C]8[/C][C]-0.05616[/C][C]-0.4765[/C][C]0.317568[/C][/ROW]
[ROW][C]9[/C][C]-0.058313[/C][C]-0.4948[/C][C]0.311122[/C][/ROW]
[ROW][C]10[/C][C]0.134064[/C][C]1.1376[/C][C]0.129536[/C][/ROW]
[ROW][C]11[/C][C]0.067667[/C][C]0.5742[/C][C]0.283821[/C][/ROW]
[ROW][C]12[/C][C]0.253921[/C][C]2.1546[/C][C]0.01727[/C][/ROW]
[ROW][C]13[/C][C]0.160334[/C][C]1.3605[/C][C]0.088961[/C][/ROW]
[ROW][C]14[/C][C]0.209376[/C][C]1.7766[/C][C]0.039928[/C][/ROW]
[ROW][C]15[/C][C]-0.026671[/C][C]-0.2263[/C][C]0.410802[/C][/ROW]
[ROW][C]16[/C][C]0.065049[/C][C]0.552[/C][C]0.291344[/C][/ROW]
[ROW][C]17[/C][C]-0.135524[/C][C]-1.15[/C][C]0.126983[/C][/ROW]
[ROW][C]18[/C][C]-0.135575[/C][C]-1.1504[/C][C]0.126895[/C][/ROW]
[ROW][C]19[/C][C]-0.064436[/C][C]-0.5468[/C][C]0.293117[/C][/ROW]
[ROW][C]20[/C][C]-0.031097[/C][C]-0.2639[/C][C]0.396318[/C][/ROW]
[ROW][C]21[/C][C]0.02942[/C][C]0.2496[/C][C]0.401789[/C][/ROW]
[ROW][C]22[/C][C]0.020369[/C][C]0.1728[/C][C]0.431633[/C][/ROW]
[ROW][C]23[/C][C]0.10466[/C][C]0.8881[/C][C]0.188729[/C][/ROW]
[ROW][C]24[/C][C]0.1297[/C][C]1.1005[/C][C]0.137382[/C][/ROW]
[ROW][C]25[/C][C]-0.000459[/C][C]-0.0039[/C][C]0.49845[/C][/ROW]
[ROW][C]26[/C][C]-0.00321[/C][C]-0.0272[/C][C]0.489174[/C][/ROW]
[ROW][C]27[/C][C]-0.060062[/C][C]-0.5096[/C][C]0.305931[/C][/ROW]
[ROW][C]28[/C][C]0.108046[/C][C]0.9168[/C][C]0.181155[/C][/ROW]
[ROW][C]29[/C][C]-0.13917[/C][C]-1.1809[/C][C]0.120765[/C][/ROW]
[ROW][C]30[/C][C]0.000988[/C][C]0.0084[/C][C]0.496668[/C][/ROW]
[ROW][C]31[/C][C]-0.08441[/C][C]-0.7162[/C][C]0.238079[/C][/ROW]
[ROW][C]32[/C][C]-0.052776[/C][C]-0.4478[/C][C]0.327813[/C][/ROW]
[ROW][C]33[/C][C]0.014542[/C][C]0.1234[/C][C]0.45107[/C][/ROW]
[ROW][C]34[/C][C]-0.019977[/C][C]-0.1695[/C][C]0.432934[/C][/ROW]
[ROW][C]35[/C][C]0.097447[/C][C]0.8269[/C][C]0.205523[/C][/ROW]
[ROW][C]36[/C][C]0.038122[/C][C]0.3235[/C][C]0.373637[/C][/ROW]
[ROW][C]37[/C][C]-0.008885[/C][C]-0.0754[/C][C]0.470055[/C][/ROW]
[ROW][C]38[/C][C]-0.066784[/C][C]-0.5667[/C][C]0.286345[/C][/ROW]
[ROW][C]39[/C][C]-0.145853[/C][C]-1.2376[/C][C]0.109942[/C][/ROW]
[ROW][C]40[/C][C]-0.038991[/C][C]-0.3309[/C][C]0.370858[/C][/ROW]
[ROW][C]41[/C][C]-0.117681[/C][C]-0.9986[/C][C]0.160677[/C][/ROW]
[ROW][C]42[/C][C]-0.090087[/C][C]-0.7644[/C][C]0.22356[/C][/ROW]
[ROW][C]43[/C][C]-0.017929[/C][C]-0.1521[/C][C]0.439753[/C][/ROW]
[ROW][C]44[/C][C]0.125771[/C][C]1.0672[/C][C]0.144722[/C][/ROW]
[ROW][C]45[/C][C]-0.100923[/C][C]-0.8564[/C][C]0.197321[/C][/ROW]
[ROW][C]46[/C][C]-0.034234[/C][C]-0.2905[/C][C]0.386141[/C][/ROW]
[ROW][C]47[/C][C]0.0578[/C][C]0.4905[/C][C]0.312653[/C][/ROW]
[ROW][C]48[/C][C]0.123178[/C][C]1.0452[/C][C]0.149713[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40018&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40018&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
10.1446121.22710.111897
20.1014240.86060.196153
3-0.01733-0.14710.441751
4-0.035526-0.30150.381969
5-0.077689-0.65920.255931
6-0.208738-1.77120.040379
7-0.04846-0.41120.341076
8-0.05616-0.47650.317568
9-0.058313-0.49480.311122
100.1340641.13760.129536
110.0676670.57420.283821
120.2539212.15460.01727
130.1603341.36050.088961
140.2093761.77660.039928
15-0.026671-0.22630.410802
160.0650490.5520.291344
17-0.135524-1.150.126983
18-0.135575-1.15040.126895
19-0.064436-0.54680.293117
20-0.031097-0.26390.396318
210.029420.24960.401789
220.0203690.17280.431633
230.104660.88810.188729
240.12971.10050.137382
25-0.000459-0.00390.49845
26-0.00321-0.02720.489174
27-0.060062-0.50960.305931
280.1080460.91680.181155
29-0.13917-1.18090.120765
300.0009880.00840.496668
31-0.08441-0.71620.238079
32-0.052776-0.44780.327813
330.0145420.12340.45107
34-0.019977-0.16950.432934
350.0974470.82690.205523
360.0381220.32350.373637
37-0.008885-0.07540.470055
38-0.066784-0.56670.286345
39-0.145853-1.23760.109942
40-0.038991-0.33090.370858
41-0.117681-0.99860.160677
42-0.090087-0.76440.22356
43-0.017929-0.15210.439753
440.1257711.06720.144722
45-0.100923-0.85640.197321
46-0.034234-0.29050.386141
470.05780.49050.312653
480.1231781.04520.149713







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1446121.22710.111897
20.0822320.69780.243788
3-0.043891-0.37240.355333
4-0.036831-0.31250.377774
5-0.064019-0.54320.294328
6-0.190359-1.61520.055315
70.0139520.11840.453045
8-0.020787-0.17640.430244
9-0.064682-0.54880.292406
100.1526091.29490.09974
110.0191650.16260.435636
120.1905571.61690.055134
130.1143040.96990.167672
140.1507621.27930.102456
15-0.08765-0.74370.229729
160.1396421.18490.119976
17-0.13504-1.14590.127826
18-0.034398-0.29190.38561
190.0501680.42570.335803
200.0244830.20770.418006
210.0354770.3010.382129
220.0168250.14280.443436
230.0350140.29710.383622
24-0.008795-0.07460.47036
25-0.053808-0.45660.324676
26-0.159074-1.34980.090656
27-0.03625-0.30760.37964
280.1182271.00320.159564
29-0.122397-1.03860.151239
300.084340.71560.238263
31-0.029754-0.25250.400697
32-0.08259-0.70080.242842
330.0222830.18910.425283
34-0.032203-0.27320.392722
35-0.019256-0.16340.435333
360.0339010.28770.387218
37-0.045313-0.38450.350874
38-0.130717-1.10920.135523
39-0.013208-0.11210.455539
40-0.069213-0.58730.279423
41-0.053813-0.45660.324659
42-0.075695-0.64230.261361
430.0297760.25270.400627
440.0846840.71860.237366
45-0.134034-1.13730.129589
46-0.055804-0.47350.318639
470.0383560.32550.372889
480.1404011.19130.118715

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.144612 & 1.2271 & 0.111897 \tabularnewline
2 & 0.082232 & 0.6978 & 0.243788 \tabularnewline
3 & -0.043891 & -0.3724 & 0.355333 \tabularnewline
4 & -0.036831 & -0.3125 & 0.377774 \tabularnewline
5 & -0.064019 & -0.5432 & 0.294328 \tabularnewline
6 & -0.190359 & -1.6152 & 0.055315 \tabularnewline
7 & 0.013952 & 0.1184 & 0.453045 \tabularnewline
8 & -0.020787 & -0.1764 & 0.430244 \tabularnewline
9 & -0.064682 & -0.5488 & 0.292406 \tabularnewline
10 & 0.152609 & 1.2949 & 0.09974 \tabularnewline
11 & 0.019165 & 0.1626 & 0.435636 \tabularnewline
12 & 0.190557 & 1.6169 & 0.055134 \tabularnewline
13 & 0.114304 & 0.9699 & 0.167672 \tabularnewline
14 & 0.150762 & 1.2793 & 0.102456 \tabularnewline
15 & -0.08765 & -0.7437 & 0.229729 \tabularnewline
16 & 0.139642 & 1.1849 & 0.119976 \tabularnewline
17 & -0.13504 & -1.1459 & 0.127826 \tabularnewline
18 & -0.034398 & -0.2919 & 0.38561 \tabularnewline
19 & 0.050168 & 0.4257 & 0.335803 \tabularnewline
20 & 0.024483 & 0.2077 & 0.418006 \tabularnewline
21 & 0.035477 & 0.301 & 0.382129 \tabularnewline
22 & 0.016825 & 0.1428 & 0.443436 \tabularnewline
23 & 0.035014 & 0.2971 & 0.383622 \tabularnewline
24 & -0.008795 & -0.0746 & 0.47036 \tabularnewline
25 & -0.053808 & -0.4566 & 0.324676 \tabularnewline
26 & -0.159074 & -1.3498 & 0.090656 \tabularnewline
27 & -0.03625 & -0.3076 & 0.37964 \tabularnewline
28 & 0.118227 & 1.0032 & 0.159564 \tabularnewline
29 & -0.122397 & -1.0386 & 0.151239 \tabularnewline
30 & 0.08434 & 0.7156 & 0.238263 \tabularnewline
31 & -0.029754 & -0.2525 & 0.400697 \tabularnewline
32 & -0.08259 & -0.7008 & 0.242842 \tabularnewline
33 & 0.022283 & 0.1891 & 0.425283 \tabularnewline
34 & -0.032203 & -0.2732 & 0.392722 \tabularnewline
35 & -0.019256 & -0.1634 & 0.435333 \tabularnewline
36 & 0.033901 & 0.2877 & 0.387218 \tabularnewline
37 & -0.045313 & -0.3845 & 0.350874 \tabularnewline
38 & -0.130717 & -1.1092 & 0.135523 \tabularnewline
39 & -0.013208 & -0.1121 & 0.455539 \tabularnewline
40 & -0.069213 & -0.5873 & 0.279423 \tabularnewline
41 & -0.053813 & -0.4566 & 0.324659 \tabularnewline
42 & -0.075695 & -0.6423 & 0.261361 \tabularnewline
43 & 0.029776 & 0.2527 & 0.400627 \tabularnewline
44 & 0.084684 & 0.7186 & 0.237366 \tabularnewline
45 & -0.134034 & -1.1373 & 0.129589 \tabularnewline
46 & -0.055804 & -0.4735 & 0.318639 \tabularnewline
47 & 0.038356 & 0.3255 & 0.372889 \tabularnewline
48 & 0.140401 & 1.1913 & 0.118715 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40018&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]0.144612[/C][C]1.2271[/C][C]0.111897[/C][/ROW]
[ROW][C]2[/C][C]0.082232[/C][C]0.6978[/C][C]0.243788[/C][/ROW]
[ROW][C]3[/C][C]-0.043891[/C][C]-0.3724[/C][C]0.355333[/C][/ROW]
[ROW][C]4[/C][C]-0.036831[/C][C]-0.3125[/C][C]0.377774[/C][/ROW]
[ROW][C]5[/C][C]-0.064019[/C][C]-0.5432[/C][C]0.294328[/C][/ROW]
[ROW][C]6[/C][C]-0.190359[/C][C]-1.6152[/C][C]0.055315[/C][/ROW]
[ROW][C]7[/C][C]0.013952[/C][C]0.1184[/C][C]0.453045[/C][/ROW]
[ROW][C]8[/C][C]-0.020787[/C][C]-0.1764[/C][C]0.430244[/C][/ROW]
[ROW][C]9[/C][C]-0.064682[/C][C]-0.5488[/C][C]0.292406[/C][/ROW]
[ROW][C]10[/C][C]0.152609[/C][C]1.2949[/C][C]0.09974[/C][/ROW]
[ROW][C]11[/C][C]0.019165[/C][C]0.1626[/C][C]0.435636[/C][/ROW]
[ROW][C]12[/C][C]0.190557[/C][C]1.6169[/C][C]0.055134[/C][/ROW]
[ROW][C]13[/C][C]0.114304[/C][C]0.9699[/C][C]0.167672[/C][/ROW]
[ROW][C]14[/C][C]0.150762[/C][C]1.2793[/C][C]0.102456[/C][/ROW]
[ROW][C]15[/C][C]-0.08765[/C][C]-0.7437[/C][C]0.229729[/C][/ROW]
[ROW][C]16[/C][C]0.139642[/C][C]1.1849[/C][C]0.119976[/C][/ROW]
[ROW][C]17[/C][C]-0.13504[/C][C]-1.1459[/C][C]0.127826[/C][/ROW]
[ROW][C]18[/C][C]-0.034398[/C][C]-0.2919[/C][C]0.38561[/C][/ROW]
[ROW][C]19[/C][C]0.050168[/C][C]0.4257[/C][C]0.335803[/C][/ROW]
[ROW][C]20[/C][C]0.024483[/C][C]0.2077[/C][C]0.418006[/C][/ROW]
[ROW][C]21[/C][C]0.035477[/C][C]0.301[/C][C]0.382129[/C][/ROW]
[ROW][C]22[/C][C]0.016825[/C][C]0.1428[/C][C]0.443436[/C][/ROW]
[ROW][C]23[/C][C]0.035014[/C][C]0.2971[/C][C]0.383622[/C][/ROW]
[ROW][C]24[/C][C]-0.008795[/C][C]-0.0746[/C][C]0.47036[/C][/ROW]
[ROW][C]25[/C][C]-0.053808[/C][C]-0.4566[/C][C]0.324676[/C][/ROW]
[ROW][C]26[/C][C]-0.159074[/C][C]-1.3498[/C][C]0.090656[/C][/ROW]
[ROW][C]27[/C][C]-0.03625[/C][C]-0.3076[/C][C]0.37964[/C][/ROW]
[ROW][C]28[/C][C]0.118227[/C][C]1.0032[/C][C]0.159564[/C][/ROW]
[ROW][C]29[/C][C]-0.122397[/C][C]-1.0386[/C][C]0.151239[/C][/ROW]
[ROW][C]30[/C][C]0.08434[/C][C]0.7156[/C][C]0.238263[/C][/ROW]
[ROW][C]31[/C][C]-0.029754[/C][C]-0.2525[/C][C]0.400697[/C][/ROW]
[ROW][C]32[/C][C]-0.08259[/C][C]-0.7008[/C][C]0.242842[/C][/ROW]
[ROW][C]33[/C][C]0.022283[/C][C]0.1891[/C][C]0.425283[/C][/ROW]
[ROW][C]34[/C][C]-0.032203[/C][C]-0.2732[/C][C]0.392722[/C][/ROW]
[ROW][C]35[/C][C]-0.019256[/C][C]-0.1634[/C][C]0.435333[/C][/ROW]
[ROW][C]36[/C][C]0.033901[/C][C]0.2877[/C][C]0.387218[/C][/ROW]
[ROW][C]37[/C][C]-0.045313[/C][C]-0.3845[/C][C]0.350874[/C][/ROW]
[ROW][C]38[/C][C]-0.130717[/C][C]-1.1092[/C][C]0.135523[/C][/ROW]
[ROW][C]39[/C][C]-0.013208[/C][C]-0.1121[/C][C]0.455539[/C][/ROW]
[ROW][C]40[/C][C]-0.069213[/C][C]-0.5873[/C][C]0.279423[/C][/ROW]
[ROW][C]41[/C][C]-0.053813[/C][C]-0.4566[/C][C]0.324659[/C][/ROW]
[ROW][C]42[/C][C]-0.075695[/C][C]-0.6423[/C][C]0.261361[/C][/ROW]
[ROW][C]43[/C][C]0.029776[/C][C]0.2527[/C][C]0.400627[/C][/ROW]
[ROW][C]44[/C][C]0.084684[/C][C]0.7186[/C][C]0.237366[/C][/ROW]
[ROW][C]45[/C][C]-0.134034[/C][C]-1.1373[/C][C]0.129589[/C][/ROW]
[ROW][C]46[/C][C]-0.055804[/C][C]-0.4735[/C][C]0.318639[/C][/ROW]
[ROW][C]47[/C][C]0.038356[/C][C]0.3255[/C][C]0.372889[/C][/ROW]
[ROW][C]48[/C][C]0.140401[/C][C]1.1913[/C][C]0.118715[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40018&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40018&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
10.1446121.22710.111897
20.0822320.69780.243788
3-0.043891-0.37240.355333
4-0.036831-0.31250.377774
5-0.064019-0.54320.294328
6-0.190359-1.61520.055315
70.0139520.11840.453045
8-0.020787-0.17640.430244
9-0.064682-0.54880.292406
100.1526091.29490.09974
110.0191650.16260.435636
120.1905571.61690.055134
130.1143040.96990.167672
140.1507621.27930.102456
15-0.08765-0.74370.229729
160.1396421.18490.119976
17-0.13504-1.14590.127826
18-0.034398-0.29190.38561
190.0501680.42570.335803
200.0244830.20770.418006
210.0354770.3010.382129
220.0168250.14280.443436
230.0350140.29710.383622
24-0.008795-0.07460.47036
25-0.053808-0.45660.324676
26-0.159074-1.34980.090656
27-0.03625-0.30760.37964
280.1182271.00320.159564
29-0.122397-1.03860.151239
300.084340.71560.238263
31-0.029754-0.25250.400697
32-0.08259-0.70080.242842
330.0222830.18910.425283
34-0.032203-0.27320.392722
35-0.019256-0.16340.435333
360.0339010.28770.387218
37-0.045313-0.38450.350874
38-0.130717-1.10920.135523
39-0.013208-0.11210.455539
40-0.069213-0.58730.279423
41-0.053813-0.45660.324659
42-0.075695-0.64230.261361
430.0297760.25270.400627
440.0846840.71860.237366
45-0.134034-1.13730.129589
46-0.055804-0.47350.318639
470.0383560.32550.372889
480.1404011.19130.118715



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