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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 28 May 2009 08:09:12 -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/28/t12435198016ekfadb81ph7y6o.htm/, Retrieved Mon, 06 May 2024 04:07:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40618, Retrieved Mon, 06 May 2024 04:07:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Non seasonal - Fo...] [2009-05-28 14:09:12] [1a4b490ae86a78f004f9a6b70ce3539b] [Current]
-    D    [(Partial) Autocorrelation Function] [non seasonal - si...] [2009-06-02 14:27:42] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18,09
18,13
18
17,72
17,62
17,13
17,39
17,09
17,14
17,38
16,8
16,51
16,01
15,05
13,56
15,22
14,91
15,13
15,25
14,61
14,87
15,1
15,22
15,46
14,96
14
14,2
13,9
13,63
13,32
13,8
14,5
14,12
13,88
14,11
14,26
14,71
14,52
14,32
14,69
15,25
15,04
14,82
14,5
14,72
14,6
14,58
14
14,75
14,41
15,19
14,96
14,83
14,25
14,32
14,93
14,65
15,65
15,65
15,61
15,95
15,83
15,77
16,7
16,69
16,4
16,77
16,78
16,84
16,68
16,67
16,3
16,37
16,6
16,72
16,82
17,5
17,2
17,29
17,2
17,2
17,32
17,16
17,41
17,31
17,3
17,34
17,19
17,05
17,07
17,07
16,81
16,81
16,96
17,05
17
16,77
16,66
16,2
16,26
15,84
15,85
15,71
15,84
15,73
15,77
15,3
15,41
15,4
15,61
15
14,12
14,01
13,46
13,85
13,92
13,59
13,67
13,05
12,87
12,28
11,88
12,49
11,9
10,8
10,99
10,15
10,07
10,05
10,31
9,94
9,65
9,74
9,85
9,96
9,63
9,43
8,77
9,53
9,5
9,78
9,9
9,93
10,35
9,79
9,63
9,02
9,25
9,11
8,95
9,3
9,13
9,75
9,65
9,27
9,59
9,58
9,98
9,57
9,6
9,64
9,46
9,19
9,02
8,9
9,12
8,86
8,94
9
9,23
9,39
9,62
9,9
9,8
9,2
9,87
9,6
9,37
9,21
9,15
8,7
8,2
8,1
6,68
7,7
8,2
7,55
7,53
7,02
6,6
6
3,95
4,91
5,15
5,7
1,93
1,36
1,1
0,98
1
1,1
1,06
1,01
0,93
0,89
0,9
0,88
0,85
0,84
0,94
1
1,1
1,15
1,05
1,06
0,99
0,93
0,84
0,9
0,86
0,78
0,77
0,6
0,57
0,62
0,62
0,58
0,6
0,73
0,75
0,63
0,71
0,68
0,64
0,66
0,69
0,72
0,92
0,85
0,95
1
1,15
1,07
1,01
0,99
0,95
0,92
0,94
0,96
1,05
1,04
1,1
1,14
1,12
1,19
1,35
1,62
1,43
1,45
1,47
1,35
1,15
1,46
1,3
1,3
1,5
1,52
1,63
1,9
1,65
1,5
1,38
1,39

Tables (Output of Computation)





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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40618&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]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40618&T=0

As an alternative you can also use a QR Code:  
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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.098134-1.61850.053361
20.0168010.27710.390961
3-0.054143-0.89290.186339
40.0551320.90930.18201
50.1065861.75790.039948
60.0271830.44830.327144
70.0454520.74960.227069
80.0616481.01670.155095
90.1112321.83450.033837
10-0.015872-0.26180.396848
11-0.092181-1.52030.0648
120.070121.15640.124256
130.0783891.29280.098585
140.0500650.82570.204852
150.0648931.07020.142731
16-0.016022-0.26420.3959
17-0.002824-0.04660.481446
180.0430880.71060.238962
190.0349870.5770.282199
20-0.034314-0.56590.285954
210.0150960.2490.401785
22-0.014193-0.23410.407553
23-0.055004-0.90710.182567
240.0142930.23570.406913
250.0061680.10170.459525
26-0.051256-0.84530.199334
270.008310.13710.445546
280.0097580.16090.436131
290.0123330.20340.419485
30-0.040865-0.6740.250453
31-0.054444-0.89790.185014
32-0.027212-0.44880.326972
330.0633381.04460.14857
34-0.053963-0.890.187131
350.0404980.66790.252377
36-0.078808-1.29970.097397
370.0598290.98670.162328
38-0.111677-1.84180.033295
39-0.016019-0.26420.395916
40-0.012774-0.21070.416652
41-0.065821-1.08560.139319
420.0579130.95510.17018
43-0.097612-1.60990.054294
44-0.030987-0.51110.304864
45-0.065991-1.08830.138703
460.0150260.24780.402232
47-0.034207-0.56420.286555
48-0.076729-1.26540.103398

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.098134 & -1.6185 & 0.053361 \tabularnewline
2 & 0.016801 & 0.2771 & 0.390961 \tabularnewline
3 & -0.054143 & -0.8929 & 0.186339 \tabularnewline
4 & 0.055132 & 0.9093 & 0.18201 \tabularnewline
5 & 0.106586 & 1.7579 & 0.039948 \tabularnewline
6 & 0.027183 & 0.4483 & 0.327144 \tabularnewline
7 & 0.045452 & 0.7496 & 0.227069 \tabularnewline
8 & 0.061648 & 1.0167 & 0.155095 \tabularnewline
9 & 0.111232 & 1.8345 & 0.033837 \tabularnewline
10 & -0.015872 & -0.2618 & 0.396848 \tabularnewline
11 & -0.092181 & -1.5203 & 0.0648 \tabularnewline
12 & 0.07012 & 1.1564 & 0.124256 \tabularnewline
13 & 0.078389 & 1.2928 & 0.098585 \tabularnewline
14 & 0.050065 & 0.8257 & 0.204852 \tabularnewline
15 & 0.064893 & 1.0702 & 0.142731 \tabularnewline
16 & -0.016022 & -0.2642 & 0.3959 \tabularnewline
17 & -0.002824 & -0.0466 & 0.481446 \tabularnewline
18 & 0.043088 & 0.7106 & 0.238962 \tabularnewline
19 & 0.034987 & 0.577 & 0.282199 \tabularnewline
20 & -0.034314 & -0.5659 & 0.285954 \tabularnewline
21 & 0.015096 & 0.249 & 0.401785 \tabularnewline
22 & -0.014193 & -0.2341 & 0.407553 \tabularnewline
23 & -0.055004 & -0.9071 & 0.182567 \tabularnewline
24 & 0.014293 & 0.2357 & 0.406913 \tabularnewline
25 & 0.006168 & 0.1017 & 0.459525 \tabularnewline
26 & -0.051256 & -0.8453 & 0.199334 \tabularnewline
27 & 0.00831 & 0.1371 & 0.445546 \tabularnewline
28 & 0.009758 & 0.1609 & 0.436131 \tabularnewline
29 & 0.012333 & 0.2034 & 0.419485 \tabularnewline
30 & -0.040865 & -0.674 & 0.250453 \tabularnewline
31 & -0.054444 & -0.8979 & 0.185014 \tabularnewline
32 & -0.027212 & -0.4488 & 0.326972 \tabularnewline
33 & 0.063338 & 1.0446 & 0.14857 \tabularnewline
34 & -0.053963 & -0.89 & 0.187131 \tabularnewline
35 & 0.040498 & 0.6679 & 0.252377 \tabularnewline
36 & -0.078808 & -1.2997 & 0.097397 \tabularnewline
37 & 0.059829 & 0.9867 & 0.162328 \tabularnewline
38 & -0.111677 & -1.8418 & 0.033295 \tabularnewline
39 & -0.016019 & -0.2642 & 0.395916 \tabularnewline
40 & -0.012774 & -0.2107 & 0.416652 \tabularnewline
41 & -0.065821 & -1.0856 & 0.139319 \tabularnewline
42 & 0.057913 & 0.9551 & 0.17018 \tabularnewline
43 & -0.097612 & -1.6099 & 0.054294 \tabularnewline
44 & -0.030987 & -0.5111 & 0.304864 \tabularnewline
45 & -0.065991 & -1.0883 & 0.138703 \tabularnewline
46 & 0.015026 & 0.2478 & 0.402232 \tabularnewline
47 & -0.034207 & -0.5642 & 0.286555 \tabularnewline
48 & -0.076729 & -1.2654 & 0.103398 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40618&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]-0.098134[/C][C]-1.6185[/C][C]0.053361[/C][/ROW]
[ROW][C]2[/C][C]0.016801[/C][C]0.2771[/C][C]0.390961[/C][/ROW]
[ROW][C]3[/C][C]-0.054143[/C][C]-0.8929[/C][C]0.186339[/C][/ROW]
[ROW][C]4[/C][C]0.055132[/C][C]0.9093[/C][C]0.18201[/C][/ROW]
[ROW][C]5[/C][C]0.106586[/C][C]1.7579[/C][C]0.039948[/C][/ROW]
[ROW][C]6[/C][C]0.027183[/C][C]0.4483[/C][C]0.327144[/C][/ROW]
[ROW][C]7[/C][C]0.045452[/C][C]0.7496[/C][C]0.227069[/C][/ROW]
[ROW][C]8[/C][C]0.061648[/C][C]1.0167[/C][C]0.155095[/C][/ROW]
[ROW][C]9[/C][C]0.111232[/C][C]1.8345[/C][C]0.033837[/C][/ROW]
[ROW][C]10[/C][C]-0.015872[/C][C]-0.2618[/C][C]0.396848[/C][/ROW]
[ROW][C]11[/C][C]-0.092181[/C][C]-1.5203[/C][C]0.0648[/C][/ROW]
[ROW][C]12[/C][C]0.07012[/C][C]1.1564[/C][C]0.124256[/C][/ROW]
[ROW][C]13[/C][C]0.078389[/C][C]1.2928[/C][C]0.098585[/C][/ROW]
[ROW][C]14[/C][C]0.050065[/C][C]0.8257[/C][C]0.204852[/C][/ROW]
[ROW][C]15[/C][C]0.064893[/C][C]1.0702[/C][C]0.142731[/C][/ROW]
[ROW][C]16[/C][C]-0.016022[/C][C]-0.2642[/C][C]0.3959[/C][/ROW]
[ROW][C]17[/C][C]-0.002824[/C][C]-0.0466[/C][C]0.481446[/C][/ROW]
[ROW][C]18[/C][C]0.043088[/C][C]0.7106[/C][C]0.238962[/C][/ROW]
[ROW][C]19[/C][C]0.034987[/C][C]0.577[/C][C]0.282199[/C][/ROW]
[ROW][C]20[/C][C]-0.034314[/C][C]-0.5659[/C][C]0.285954[/C][/ROW]
[ROW][C]21[/C][C]0.015096[/C][C]0.249[/C][C]0.401785[/C][/ROW]
[ROW][C]22[/C][C]-0.014193[/C][C]-0.2341[/C][C]0.407553[/C][/ROW]
[ROW][C]23[/C][C]-0.055004[/C][C]-0.9071[/C][C]0.182567[/C][/ROW]
[ROW][C]24[/C][C]0.014293[/C][C]0.2357[/C][C]0.406913[/C][/ROW]
[ROW][C]25[/C][C]0.006168[/C][C]0.1017[/C][C]0.459525[/C][/ROW]
[ROW][C]26[/C][C]-0.051256[/C][C]-0.8453[/C][C]0.199334[/C][/ROW]
[ROW][C]27[/C][C]0.00831[/C][C]0.1371[/C][C]0.445546[/C][/ROW]
[ROW][C]28[/C][C]0.009758[/C][C]0.1609[/C][C]0.436131[/C][/ROW]
[ROW][C]29[/C][C]0.012333[/C][C]0.2034[/C][C]0.419485[/C][/ROW]
[ROW][C]30[/C][C]-0.040865[/C][C]-0.674[/C][C]0.250453[/C][/ROW]
[ROW][C]31[/C][C]-0.054444[/C][C]-0.8979[/C][C]0.185014[/C][/ROW]
[ROW][C]32[/C][C]-0.027212[/C][C]-0.4488[/C][C]0.326972[/C][/ROW]
[ROW][C]33[/C][C]0.063338[/C][C]1.0446[/C][C]0.14857[/C][/ROW]
[ROW][C]34[/C][C]-0.053963[/C][C]-0.89[/C][C]0.187131[/C][/ROW]
[ROW][C]35[/C][C]0.040498[/C][C]0.6679[/C][C]0.252377[/C][/ROW]
[ROW][C]36[/C][C]-0.078808[/C][C]-1.2997[/C][C]0.097397[/C][/ROW]
[ROW][C]37[/C][C]0.059829[/C][C]0.9867[/C][C]0.162328[/C][/ROW]
[ROW][C]38[/C][C]-0.111677[/C][C]-1.8418[/C][C]0.033295[/C][/ROW]
[ROW][C]39[/C][C]-0.016019[/C][C]-0.2642[/C][C]0.395916[/C][/ROW]
[ROW][C]40[/C][C]-0.012774[/C][C]-0.2107[/C][C]0.416652[/C][/ROW]
[ROW][C]41[/C][C]-0.065821[/C][C]-1.0856[/C][C]0.139319[/C][/ROW]
[ROW][C]42[/C][C]0.057913[/C][C]0.9551[/C][C]0.17018[/C][/ROW]
[ROW][C]43[/C][C]-0.097612[/C][C]-1.6099[/C][C]0.054294[/C][/ROW]
[ROW][C]44[/C][C]-0.030987[/C][C]-0.5111[/C][C]0.304864[/C][/ROW]
[ROW][C]45[/C][C]-0.065991[/C][C]-1.0883[/C][C]0.138703[/C][/ROW]
[ROW][C]46[/C][C]0.015026[/C][C]0.2478[/C][C]0.402232[/C][/ROW]
[ROW][C]47[/C][C]-0.034207[/C][C]-0.5642[/C][C]0.286555[/C][/ROW]
[ROW][C]48[/C][C]-0.076729[/C][C]-1.2654[/C][C]0.103398[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40618&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.098134-1.61850.053361
20.0168010.27710.390961
3-0.054143-0.89290.186339
40.0551320.90930.18201
50.1065861.75790.039948
60.0271830.44830.327144
70.0454520.74960.227069
80.0616481.01670.155095
90.1112321.83450.033837
10-0.015872-0.26180.396848
11-0.092181-1.52030.0648
120.070121.15640.124256
130.0783891.29280.098585
140.0500650.82570.204852
150.0648931.07020.142731
16-0.016022-0.26420.3959
17-0.002824-0.04660.481446
180.0430880.71060.238962
190.0349870.5770.282199
20-0.034314-0.56590.285954
210.0150960.2490.401785
22-0.014193-0.23410.407553
23-0.055004-0.90710.182567
240.0142930.23570.406913
250.0061680.10170.459525
26-0.051256-0.84530.199334
270.008310.13710.445546
280.0097580.16090.436131
290.0123330.20340.419485
30-0.040865-0.6740.250453
31-0.054444-0.89790.185014
32-0.027212-0.44880.326972
330.0633381.04460.14857
34-0.053963-0.890.187131
350.0404980.66790.252377
36-0.078808-1.29970.097397
370.0598290.98670.162328
38-0.111677-1.84180.033295
39-0.016019-0.26420.395916
40-0.012774-0.21070.416652
41-0.065821-1.08560.139319
420.0579130.95510.17018
43-0.097612-1.60990.054294
44-0.030987-0.51110.304864
45-0.065991-1.08830.138703
460.0150260.24780.402232
47-0.034207-0.56420.286555
48-0.076729-1.26540.103398






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.098134-1.61850.053361
20.0072410.11940.452518
3-0.052302-0.86260.194564
40.045270.74660.227972
50.1188781.96060.025474
60.0468580.77280.220156
70.057630.95050.171363
80.0828531.36650.086463
90.1221542.01460.022465
10-0.001594-0.02630.489524
11-0.106458-1.75570.040129
120.0407440.6720.251086
130.0612391.010.1567
140.0209310.34520.365107
150.0779191.28510.099929
160.0098050.16170.435828
17-0.02855-0.47090.319059
180.0238450.39330.34722
190.0346250.5710.284221
20-0.045253-0.74630.228056
21-0.027278-0.44990.326579
22-0.049428-0.81520.207839
23-0.087454-1.44230.07518
24-0.013111-0.21620.414485
250.0128440.21180.416201
26-0.056279-0.92820.177068
27-0.017551-0.28950.386226
280.0153920.25380.399903
290.0320010.52780.299042
30-0.026884-0.44340.328922
31-0.053992-0.89050.187005
32-0.026051-0.42960.3339
330.0454240.74910.227208
34-0.057325-0.94540.172641
350.0750041.2370.108578
36-0.034303-0.56570.286021
370.04170.68770.246105
38-0.080191-1.32250.093548
39-0.012244-0.20190.420058
400.0020330.03350.486638
41-0.076522-1.2620.104009
420.0270880.44680.327704
43-0.069526-1.14670.126265
44-0.037417-0.61710.268845
45-0.049031-0.80860.209714
460.0194640.3210.374225
47-0.023607-0.38930.348669
48-0.071947-1.18660.118215

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.098134 & -1.6185 & 0.053361 \tabularnewline
2 & 0.007241 & 0.1194 & 0.452518 \tabularnewline
3 & -0.052302 & -0.8626 & 0.194564 \tabularnewline
4 & 0.04527 & 0.7466 & 0.227972 \tabularnewline
5 & 0.118878 & 1.9606 & 0.025474 \tabularnewline
6 & 0.046858 & 0.7728 & 0.220156 \tabularnewline
7 & 0.05763 & 0.9505 & 0.171363 \tabularnewline
8 & 0.082853 & 1.3665 & 0.086463 \tabularnewline
9 & 0.122154 & 2.0146 & 0.022465 \tabularnewline
10 & -0.001594 & -0.0263 & 0.489524 \tabularnewline
11 & -0.106458 & -1.7557 & 0.040129 \tabularnewline
12 & 0.040744 & 0.672 & 0.251086 \tabularnewline
13 & 0.061239 & 1.01 & 0.1567 \tabularnewline
14 & 0.020931 & 0.3452 & 0.365107 \tabularnewline
15 & 0.077919 & 1.2851 & 0.099929 \tabularnewline
16 & 0.009805 & 0.1617 & 0.435828 \tabularnewline
17 & -0.02855 & -0.4709 & 0.319059 \tabularnewline
18 & 0.023845 & 0.3933 & 0.34722 \tabularnewline
19 & 0.034625 & 0.571 & 0.284221 \tabularnewline
20 & -0.045253 & -0.7463 & 0.228056 \tabularnewline
21 & -0.027278 & -0.4499 & 0.326579 \tabularnewline
22 & -0.049428 & -0.8152 & 0.207839 \tabularnewline
23 & -0.087454 & -1.4423 & 0.07518 \tabularnewline
24 & -0.013111 & -0.2162 & 0.414485 \tabularnewline
25 & 0.012844 & 0.2118 & 0.416201 \tabularnewline
26 & -0.056279 & -0.9282 & 0.177068 \tabularnewline
27 & -0.017551 & -0.2895 & 0.386226 \tabularnewline
28 & 0.015392 & 0.2538 & 0.399903 \tabularnewline
29 & 0.032001 & 0.5278 & 0.299042 \tabularnewline
30 & -0.026884 & -0.4434 & 0.328922 \tabularnewline
31 & -0.053992 & -0.8905 & 0.187005 \tabularnewline
32 & -0.026051 & -0.4296 & 0.3339 \tabularnewline
33 & 0.045424 & 0.7491 & 0.227208 \tabularnewline
34 & -0.057325 & -0.9454 & 0.172641 \tabularnewline
35 & 0.075004 & 1.237 & 0.108578 \tabularnewline
36 & -0.034303 & -0.5657 & 0.286021 \tabularnewline
37 & 0.0417 & 0.6877 & 0.246105 \tabularnewline
38 & -0.080191 & -1.3225 & 0.093548 \tabularnewline
39 & -0.012244 & -0.2019 & 0.420058 \tabularnewline
40 & 0.002033 & 0.0335 & 0.486638 \tabularnewline
41 & -0.076522 & -1.262 & 0.104009 \tabularnewline
42 & 0.027088 & 0.4468 & 0.327704 \tabularnewline
43 & -0.069526 & -1.1467 & 0.126265 \tabularnewline
44 & -0.037417 & -0.6171 & 0.268845 \tabularnewline
45 & -0.049031 & -0.8086 & 0.209714 \tabularnewline
46 & 0.019464 & 0.321 & 0.374225 \tabularnewline
47 & -0.023607 & -0.3893 & 0.348669 \tabularnewline
48 & -0.071947 & -1.1866 & 0.118215 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40618&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]-0.098134[/C][C]-1.6185[/C][C]0.053361[/C][/ROW]
[ROW][C]2[/C][C]0.007241[/C][C]0.1194[/C][C]0.452518[/C][/ROW]
[ROW][C]3[/C][C]-0.052302[/C][C]-0.8626[/C][C]0.194564[/C][/ROW]
[ROW][C]4[/C][C]0.04527[/C][C]0.7466[/C][C]0.227972[/C][/ROW]
[ROW][C]5[/C][C]0.118878[/C][C]1.9606[/C][C]0.025474[/C][/ROW]
[ROW][C]6[/C][C]0.046858[/C][C]0.7728[/C][C]0.220156[/C][/ROW]
[ROW][C]7[/C][C]0.05763[/C][C]0.9505[/C][C]0.171363[/C][/ROW]
[ROW][C]8[/C][C]0.082853[/C][C]1.3665[/C][C]0.086463[/C][/ROW]
[ROW][C]9[/C][C]0.122154[/C][C]2.0146[/C][C]0.022465[/C][/ROW]
[ROW][C]10[/C][C]-0.001594[/C][C]-0.0263[/C][C]0.489524[/C][/ROW]
[ROW][C]11[/C][C]-0.106458[/C][C]-1.7557[/C][C]0.040129[/C][/ROW]
[ROW][C]12[/C][C]0.040744[/C][C]0.672[/C][C]0.251086[/C][/ROW]
[ROW][C]13[/C][C]0.061239[/C][C]1.01[/C][C]0.1567[/C][/ROW]
[ROW][C]14[/C][C]0.020931[/C][C]0.3452[/C][C]0.365107[/C][/ROW]
[ROW][C]15[/C][C]0.077919[/C][C]1.2851[/C][C]0.099929[/C][/ROW]
[ROW][C]16[/C][C]0.009805[/C][C]0.1617[/C][C]0.435828[/C][/ROW]
[ROW][C]17[/C][C]-0.02855[/C][C]-0.4709[/C][C]0.319059[/C][/ROW]
[ROW][C]18[/C][C]0.023845[/C][C]0.3933[/C][C]0.34722[/C][/ROW]
[ROW][C]19[/C][C]0.034625[/C][C]0.571[/C][C]0.284221[/C][/ROW]
[ROW][C]20[/C][C]-0.045253[/C][C]-0.7463[/C][C]0.228056[/C][/ROW]
[ROW][C]21[/C][C]-0.027278[/C][C]-0.4499[/C][C]0.326579[/C][/ROW]
[ROW][C]22[/C][C]-0.049428[/C][C]-0.8152[/C][C]0.207839[/C][/ROW]
[ROW][C]23[/C][C]-0.087454[/C][C]-1.4423[/C][C]0.07518[/C][/ROW]
[ROW][C]24[/C][C]-0.013111[/C][C]-0.2162[/C][C]0.414485[/C][/ROW]
[ROW][C]25[/C][C]0.012844[/C][C]0.2118[/C][C]0.416201[/C][/ROW]
[ROW][C]26[/C][C]-0.056279[/C][C]-0.9282[/C][C]0.177068[/C][/ROW]
[ROW][C]27[/C][C]-0.017551[/C][C]-0.2895[/C][C]0.386226[/C][/ROW]
[ROW][C]28[/C][C]0.015392[/C][C]0.2538[/C][C]0.399903[/C][/ROW]
[ROW][C]29[/C][C]0.032001[/C][C]0.5278[/C][C]0.299042[/C][/ROW]
[ROW][C]30[/C][C]-0.026884[/C][C]-0.4434[/C][C]0.328922[/C][/ROW]
[ROW][C]31[/C][C]-0.053992[/C][C]-0.8905[/C][C]0.187005[/C][/ROW]
[ROW][C]32[/C][C]-0.026051[/C][C]-0.4296[/C][C]0.3339[/C][/ROW]
[ROW][C]33[/C][C]0.045424[/C][C]0.7491[/C][C]0.227208[/C][/ROW]
[ROW][C]34[/C][C]-0.057325[/C][C]-0.9454[/C][C]0.172641[/C][/ROW]
[ROW][C]35[/C][C]0.075004[/C][C]1.237[/C][C]0.108578[/C][/ROW]
[ROW][C]36[/C][C]-0.034303[/C][C]-0.5657[/C][C]0.286021[/C][/ROW]
[ROW][C]37[/C][C]0.0417[/C][C]0.6877[/C][C]0.246105[/C][/ROW]
[ROW][C]38[/C][C]-0.080191[/C][C]-1.3225[/C][C]0.093548[/C][/ROW]
[ROW][C]39[/C][C]-0.012244[/C][C]-0.2019[/C][C]0.420058[/C][/ROW]
[ROW][C]40[/C][C]0.002033[/C][C]0.0335[/C][C]0.486638[/C][/ROW]
[ROW][C]41[/C][C]-0.076522[/C][C]-1.262[/C][C]0.104009[/C][/ROW]
[ROW][C]42[/C][C]0.027088[/C][C]0.4468[/C][C]0.327704[/C][/ROW]
[ROW][C]43[/C][C]-0.069526[/C][C]-1.1467[/C][C]0.126265[/C][/ROW]
[ROW][C]44[/C][C]-0.037417[/C][C]-0.6171[/C][C]0.268845[/C][/ROW]
[ROW][C]45[/C][C]-0.049031[/C][C]-0.8086[/C][C]0.209714[/C][/ROW]
[ROW][C]46[/C][C]0.019464[/C][C]0.321[/C][C]0.374225[/C][/ROW]
[ROW][C]47[/C][C]-0.023607[/C][C]-0.3893[/C][C]0.348669[/C][/ROW]
[ROW][C]48[/C][C]-0.071947[/C][C]-1.1866[/C][C]0.118215[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40618&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40618&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.098134-1.61850.053361
20.0072410.11940.452518
3-0.052302-0.86260.194564
40.045270.74660.227972
50.1188781.96060.025474
60.0468580.77280.220156
70.057630.95050.171363
80.0828531.36650.086463
90.1221542.01460.022465
10-0.001594-0.02630.489524
11-0.106458-1.75570.040129
120.0407440.6720.251086
130.0612391.010.1567
140.0209310.34520.365107
150.0779191.28510.099929
160.0098050.16170.435828
17-0.02855-0.47090.319059
180.0238450.39330.34722
190.0346250.5710.284221
20-0.045253-0.74630.228056
21-0.027278-0.44990.326579
22-0.049428-0.81520.207839
23-0.087454-1.44230.07518
24-0.013111-0.21620.414485
250.0128440.21180.416201
26-0.056279-0.92820.177068
27-0.017551-0.28950.386226
280.0153920.25380.399903
290.0320010.52780.299042
30-0.026884-0.44340.328922
31-0.053992-0.89050.187005
32-0.026051-0.42960.3339
330.0454240.74910.227208
34-0.057325-0.94540.172641
350.0750041.2370.108578
36-0.034303-0.56570.286021
370.04170.68770.246105
38-0.080191-1.32250.093548
39-0.012244-0.20190.420058
400.0020330.03350.486638
41-0.076522-1.2620.104009
420.0270880.44680.327704
43-0.069526-1.14670.126265
44-0.037417-0.61710.268845
45-0.049031-0.80860.209714
460.0194640.3210.374225
47-0.023607-0.38930.348669
48-0.071947-1.18660.118215


Figures (Output of Computation)

Input Parameters & R Code

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')