FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Aug 2009 09:41:16 -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/Aug/18/t12506105231tkgs2vogrsyxgr.htm/, Retrieved Mon, 06 May 2024 15:32:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42845, Retrieved Mon, 06 May 2024 15:32:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Opgave 6 - stap 1...] [2009-08-17 13:09:05] [c97312e0e80b0a5d0c1eb35310dbd6a5]
- RMP     [(Partial) Autocorrelation Function] [Opgave 6 - stap 2...] [2009-08-18 15:41:16] [0d1085ed835696cdd537ad5fa07600ec] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12,11
11,42
11,71
12,04
12,21
12
12,36
12,32
12,96
12,79
13,19
12,34
13,25
12,54
12,77
12,96
13
13,61
13,8
14,16
14,27
14,69
15,01
15,09
15,14
14,2
13,83
14,31
14,04
14,9
14,92
15,36
15,5
15,65
16,18
15,44
15,58
15,24
15,33
16,07
15,82
15,87
15,72
17,07
16,83
17,52
17,76
17,36
17,95
16,71
17,14
16,72
17,26
17,24
17,69
18,13
18,08
18,18
18,18
17,64
17,89
16,82
16,61
16,66
17,02
16,91
17,18
18,06
17,58
17,48
17,54
17,44
17,79
16,79
16,19
16,62
16,39
16,54
17,26
18
17,29
18,16
17,82
17,48
18,31
17,04
17,03
16,97
17,11
17,12
17,69
18,5
18,27
18,45
18,35
18,03
18,49
18,07
17,8
17,88
18,12
18,68
18,8
19,64
19,56
19,3
20,07
19,82
20,29
19,36
18,74
18,87
18,87
18,91
19,31
20,06
20,72
20,42
20,58
20,58
21,18
19,87
19,83
19,48
19,49
19,4
19,89
20,44
20,07
19,75
19,54
19,07

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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42845&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42845&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42845&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.245813-2.81350.002828
20.1797342.05710.020828
3-0.027561-0.31540.376461
4-0.14514-1.66120.049532
5-0.032248-0.36910.356327
6-0.285105-3.26320.000703
70.0184990.21170.416321
8-0.194204-2.22280.013973
90.0913111.04510.14895
100.0815370.93320.176208
11-0.061077-0.69910.242877
120.5301616.0680
13-0.090367-1.03430.151451
140.1091531.24930.10689
150.0362790.41520.339325
16-0.154442-1.76770.039722
17-0.010259-0.11740.453352
18-0.321546-3.68030.00017
190.056070.64170.261079
20-0.192663-2.20510.014595
210.0728110.83340.203078
220.0341630.3910.348211
23-0.078582-0.89940.185041
240.4429655.071e-06
250.0001680.00190.499232
260.0661210.75680.225269
270.0521250.59660.275904
28-0.165543-1.89470.030166
29-0.015549-0.1780.429513
30-0.285629-3.26920.000689
310.0357020.40860.341741
32-0.215001-2.46080.007582
330.0874351.00070.1594
340.0398220.45580.324649
35-0.073802-0.84470.19991
360.4617675.28520
37-0.090204-1.03240.151886
380.121761.39360.082898
39-0.030821-0.35280.362416
40-0.089251-1.02150.154443
41-0.045034-0.51540.303558
42-0.236406-2.70580.003861
43-0.013233-0.15150.439924
44-0.113142-1.2950.098804
450.0573870.65680.256224
460.0175770.20120.420435
47-0.083881-0.96010.169396
480.3618154.14123.1e-05

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.245813 & -2.8135 & 0.002828 \tabularnewline
2 & 0.179734 & 2.0571 & 0.020828 \tabularnewline
3 & -0.027561 & -0.3154 & 0.376461 \tabularnewline
4 & -0.14514 & -1.6612 & 0.049532 \tabularnewline
5 & -0.032248 & -0.3691 & 0.356327 \tabularnewline
6 & -0.285105 & -3.2632 & 0.000703 \tabularnewline
7 & 0.018499 & 0.2117 & 0.416321 \tabularnewline
8 & -0.194204 & -2.2228 & 0.013973 \tabularnewline
9 & 0.091311 & 1.0451 & 0.14895 \tabularnewline
10 & 0.081537 & 0.9332 & 0.176208 \tabularnewline
11 & -0.061077 & -0.6991 & 0.242877 \tabularnewline
12 & 0.530161 & 6.068 & 0 \tabularnewline
13 & -0.090367 & -1.0343 & 0.151451 \tabularnewline
14 & 0.109153 & 1.2493 & 0.10689 \tabularnewline
15 & 0.036279 & 0.4152 & 0.339325 \tabularnewline
16 & -0.154442 & -1.7677 & 0.039722 \tabularnewline
17 & -0.010259 & -0.1174 & 0.453352 \tabularnewline
18 & -0.321546 & -3.6803 & 0.00017 \tabularnewline
19 & 0.05607 & 0.6417 & 0.261079 \tabularnewline
20 & -0.192663 & -2.2051 & 0.014595 \tabularnewline
21 & 0.072811 & 0.8334 & 0.203078 \tabularnewline
22 & 0.034163 & 0.391 & 0.348211 \tabularnewline
23 & -0.078582 & -0.8994 & 0.185041 \tabularnewline
24 & 0.442965 & 5.07 & 1e-06 \tabularnewline
25 & 0.000168 & 0.0019 & 0.499232 \tabularnewline
26 & 0.066121 & 0.7568 & 0.225269 \tabularnewline
27 & 0.052125 & 0.5966 & 0.275904 \tabularnewline
28 & -0.165543 & -1.8947 & 0.030166 \tabularnewline
29 & -0.015549 & -0.178 & 0.429513 \tabularnewline
30 & -0.285629 & -3.2692 & 0.000689 \tabularnewline
31 & 0.035702 & 0.4086 & 0.341741 \tabularnewline
32 & -0.215001 & -2.4608 & 0.007582 \tabularnewline
33 & 0.087435 & 1.0007 & 0.1594 \tabularnewline
34 & 0.039822 & 0.4558 & 0.324649 \tabularnewline
35 & -0.073802 & -0.8447 & 0.19991 \tabularnewline
36 & 0.461767 & 5.2852 & 0 \tabularnewline
37 & -0.090204 & -1.0324 & 0.151886 \tabularnewline
38 & 0.12176 & 1.3936 & 0.082898 \tabularnewline
39 & -0.030821 & -0.3528 & 0.362416 \tabularnewline
40 & -0.089251 & -1.0215 & 0.154443 \tabularnewline
41 & -0.045034 & -0.5154 & 0.303558 \tabularnewline
42 & -0.236406 & -2.7058 & 0.003861 \tabularnewline
43 & -0.013233 & -0.1515 & 0.439924 \tabularnewline
44 & -0.113142 & -1.295 & 0.098804 \tabularnewline
45 & 0.057387 & 0.6568 & 0.256224 \tabularnewline
46 & 0.017577 & 0.2012 & 0.420435 \tabularnewline
47 & -0.083881 & -0.9601 & 0.169396 \tabularnewline
48 & 0.361815 & 4.1412 & 3.1e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42845&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]-0.245813[/C][C]-2.8135[/C][C]0.002828[/C][/ROW]
[ROW][C]2[/C][C]0.179734[/C][C]2.0571[/C][C]0.020828[/C][/ROW]
[ROW][C]3[/C][C]-0.027561[/C][C]-0.3154[/C][C]0.376461[/C][/ROW]
[ROW][C]4[/C][C]-0.14514[/C][C]-1.6612[/C][C]0.049532[/C][/ROW]
[ROW][C]5[/C][C]-0.032248[/C][C]-0.3691[/C][C]0.356327[/C][/ROW]
[ROW][C]6[/C][C]-0.285105[/C][C]-3.2632[/C][C]0.000703[/C][/ROW]
[ROW][C]7[/C][C]0.018499[/C][C]0.2117[/C][C]0.416321[/C][/ROW]
[ROW][C]8[/C][C]-0.194204[/C][C]-2.2228[/C][C]0.013973[/C][/ROW]
[ROW][C]9[/C][C]0.091311[/C][C]1.0451[/C][C]0.14895[/C][/ROW]
[ROW][C]10[/C][C]0.081537[/C][C]0.9332[/C][C]0.176208[/C][/ROW]
[ROW][C]11[/C][C]-0.061077[/C][C]-0.6991[/C][C]0.242877[/C][/ROW]
[ROW][C]12[/C][C]0.530161[/C][C]6.068[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.090367[/C][C]-1.0343[/C][C]0.151451[/C][/ROW]
[ROW][C]14[/C][C]0.109153[/C][C]1.2493[/C][C]0.10689[/C][/ROW]
[ROW][C]15[/C][C]0.036279[/C][C]0.4152[/C][C]0.339325[/C][/ROW]
[ROW][C]16[/C][C]-0.154442[/C][C]-1.7677[/C][C]0.039722[/C][/ROW]
[ROW][C]17[/C][C]-0.010259[/C][C]-0.1174[/C][C]0.453352[/C][/ROW]
[ROW][C]18[/C][C]-0.321546[/C][C]-3.6803[/C][C]0.00017[/C][/ROW]
[ROW][C]19[/C][C]0.05607[/C][C]0.6417[/C][C]0.261079[/C][/ROW]
[ROW][C]20[/C][C]-0.192663[/C][C]-2.2051[/C][C]0.014595[/C][/ROW]
[ROW][C]21[/C][C]0.072811[/C][C]0.8334[/C][C]0.203078[/C][/ROW]
[ROW][C]22[/C][C]0.034163[/C][C]0.391[/C][C]0.348211[/C][/ROW]
[ROW][C]23[/C][C]-0.078582[/C][C]-0.8994[/C][C]0.185041[/C][/ROW]
[ROW][C]24[/C][C]0.442965[/C][C]5.07[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]0.000168[/C][C]0.0019[/C][C]0.499232[/C][/ROW]
[ROW][C]26[/C][C]0.066121[/C][C]0.7568[/C][C]0.225269[/C][/ROW]
[ROW][C]27[/C][C]0.052125[/C][C]0.5966[/C][C]0.275904[/C][/ROW]
[ROW][C]28[/C][C]-0.165543[/C][C]-1.8947[/C][C]0.030166[/C][/ROW]
[ROW][C]29[/C][C]-0.015549[/C][C]-0.178[/C][C]0.429513[/C][/ROW]
[ROW][C]30[/C][C]-0.285629[/C][C]-3.2692[/C][C]0.000689[/C][/ROW]
[ROW][C]31[/C][C]0.035702[/C][C]0.4086[/C][C]0.341741[/C][/ROW]
[ROW][C]32[/C][C]-0.215001[/C][C]-2.4608[/C][C]0.007582[/C][/ROW]
[ROW][C]33[/C][C]0.087435[/C][C]1.0007[/C][C]0.1594[/C][/ROW]
[ROW][C]34[/C][C]0.039822[/C][C]0.4558[/C][C]0.324649[/C][/ROW]
[ROW][C]35[/C][C]-0.073802[/C][C]-0.8447[/C][C]0.19991[/C][/ROW]
[ROW][C]36[/C][C]0.461767[/C][C]5.2852[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.090204[/C][C]-1.0324[/C][C]0.151886[/C][/ROW]
[ROW][C]38[/C][C]0.12176[/C][C]1.3936[/C][C]0.082898[/C][/ROW]
[ROW][C]39[/C][C]-0.030821[/C][C]-0.3528[/C][C]0.362416[/C][/ROW]
[ROW][C]40[/C][C]-0.089251[/C][C]-1.0215[/C][C]0.154443[/C][/ROW]
[ROW][C]41[/C][C]-0.045034[/C][C]-0.5154[/C][C]0.303558[/C][/ROW]
[ROW][C]42[/C][C]-0.236406[/C][C]-2.7058[/C][C]0.003861[/C][/ROW]
[ROW][C]43[/C][C]-0.013233[/C][C]-0.1515[/C][C]0.439924[/C][/ROW]
[ROW][C]44[/C][C]-0.113142[/C][C]-1.295[/C][C]0.098804[/C][/ROW]
[ROW][C]45[/C][C]0.057387[/C][C]0.6568[/C][C]0.256224[/C][/ROW]
[ROW][C]46[/C][C]0.017577[/C][C]0.2012[/C][C]0.420435[/C][/ROW]
[ROW][C]47[/C][C]-0.083881[/C][C]-0.9601[/C][C]0.169396[/C][/ROW]
[ROW][C]48[/C][C]0.361815[/C][C]4.1412[/C][C]3.1e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42845&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42845&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
1-0.245813-2.81350.002828
20.1797342.05710.020828
3-0.027561-0.31540.376461
4-0.14514-1.66120.049532
5-0.032248-0.36910.356327
6-0.285105-3.26320.000703
70.0184990.21170.416321
8-0.194204-2.22280.013973
90.0913111.04510.14895
100.0815370.93320.176208
11-0.061077-0.69910.242877
120.5301616.0680
13-0.090367-1.03430.151451
140.1091531.24930.10689
150.0362790.41520.339325
16-0.154442-1.76770.039722
17-0.010259-0.11740.453352
18-0.321546-3.68030.00017
190.056070.64170.261079
20-0.192663-2.20510.014595
210.0728110.83340.203078
220.0341630.3910.348211
23-0.078582-0.89940.185041
240.4429655.071e-06
250.0001680.00190.499232
260.0661210.75680.225269
270.0521250.59660.275904
28-0.165543-1.89470.030166
29-0.015549-0.1780.429513
30-0.285629-3.26920.000689
310.0357020.40860.341741
32-0.215001-2.46080.007582
330.0874351.00070.1594
340.0398220.45580.324649
35-0.073802-0.84470.19991
360.4617675.28520
37-0.090204-1.03240.151886
380.121761.39360.082898
39-0.030821-0.35280.362416
40-0.089251-1.02150.154443
41-0.045034-0.51540.303558
42-0.236406-2.70580.003861
43-0.013233-0.15150.439924
44-0.113142-1.2950.098804
450.0573870.65680.256224
460.0175770.20120.420435
47-0.083881-0.96010.169396
480.3618154.14123.1e-05






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.245813-2.81350.002828
20.1269821.45340.074255
30.0456750.52280.301005
4-0.178398-2.04190.021587
5-0.116003-1.32770.093292
6-0.29559-3.38320.000473
7-0.116154-1.32940.093006
8-0.203977-2.33460.010542
9-0.046531-0.53260.297616
100.0418560.47910.316345
11-0.147059-1.68320.047363
120.4200074.80722e-06
130.1812812.07490.019979
14-0.030222-0.34590.364985
150.1363241.56030.060551
160.0034330.03930.484359
170.0409190.46830.320161
18-0.116228-1.33030.092867
19-0.017634-0.20180.420182
20-0.014653-0.16770.433536
21-0.071145-0.81430.208477
22-0.09162-1.04860.148136
23-0.186812-2.13820.01718
240.0669760.76660.222356
250.1713791.96150.025969
26-0.058485-0.66940.252212
270.0223110.25540.399423
28-0.057069-0.65320.25739
29-0.024791-0.28370.388528
30-0.013391-0.15330.43921
31-0.021074-0.24120.404889
32-0.085153-0.97460.165774
330.0004310.00490.498035
34-0.013368-0.1530.439317
35-0.081788-0.93610.175471
360.1453651.66380.049273
37-0.030424-0.34820.364118
38-0.029272-0.3350.369067
39-0.063855-0.73090.233087
40-0.039624-0.45350.325464
410.0117110.1340.446788
420.0051950.05950.476338
43-0.066197-0.75770.225009
440.072440.82910.204274
45-0.004546-0.0520.47929
46-0.078034-0.89310.186711
47-0.099859-1.14290.127575
48-0.032439-0.37130.355515

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.245813 & -2.8135 & 0.002828 \tabularnewline
2 & 0.126982 & 1.4534 & 0.074255 \tabularnewline
3 & 0.045675 & 0.5228 & 0.301005 \tabularnewline
4 & -0.178398 & -2.0419 & 0.021587 \tabularnewline
5 & -0.116003 & -1.3277 & 0.093292 \tabularnewline
6 & -0.29559 & -3.3832 & 0.000473 \tabularnewline
7 & -0.116154 & -1.3294 & 0.093006 \tabularnewline
8 & -0.203977 & -2.3346 & 0.010542 \tabularnewline
9 & -0.046531 & -0.5326 & 0.297616 \tabularnewline
10 & 0.041856 & 0.4791 & 0.316345 \tabularnewline
11 & -0.147059 & -1.6832 & 0.047363 \tabularnewline
12 & 0.420007 & 4.8072 & 2e-06 \tabularnewline
13 & 0.181281 & 2.0749 & 0.019979 \tabularnewline
14 & -0.030222 & -0.3459 & 0.364985 \tabularnewline
15 & 0.136324 & 1.5603 & 0.060551 \tabularnewline
16 & 0.003433 & 0.0393 & 0.484359 \tabularnewline
17 & 0.040919 & 0.4683 & 0.320161 \tabularnewline
18 & -0.116228 & -1.3303 & 0.092867 \tabularnewline
19 & -0.017634 & -0.2018 & 0.420182 \tabularnewline
20 & -0.014653 & -0.1677 & 0.433536 \tabularnewline
21 & -0.071145 & -0.8143 & 0.208477 \tabularnewline
22 & -0.09162 & -1.0486 & 0.148136 \tabularnewline
23 & -0.186812 & -2.1382 & 0.01718 \tabularnewline
24 & 0.066976 & 0.7666 & 0.222356 \tabularnewline
25 & 0.171379 & 1.9615 & 0.025969 \tabularnewline
26 & -0.058485 & -0.6694 & 0.252212 \tabularnewline
27 & 0.022311 & 0.2554 & 0.399423 \tabularnewline
28 & -0.057069 & -0.6532 & 0.25739 \tabularnewline
29 & -0.024791 & -0.2837 & 0.388528 \tabularnewline
30 & -0.013391 & -0.1533 & 0.43921 \tabularnewline
31 & -0.021074 & -0.2412 & 0.404889 \tabularnewline
32 & -0.085153 & -0.9746 & 0.165774 \tabularnewline
33 & 0.000431 & 0.0049 & 0.498035 \tabularnewline
34 & -0.013368 & -0.153 & 0.439317 \tabularnewline
35 & -0.081788 & -0.9361 & 0.175471 \tabularnewline
36 & 0.145365 & 1.6638 & 0.049273 \tabularnewline
37 & -0.030424 & -0.3482 & 0.364118 \tabularnewline
38 & -0.029272 & -0.335 & 0.369067 \tabularnewline
39 & -0.063855 & -0.7309 & 0.233087 \tabularnewline
40 & -0.039624 & -0.4535 & 0.325464 \tabularnewline
41 & 0.011711 & 0.134 & 0.446788 \tabularnewline
42 & 0.005195 & 0.0595 & 0.476338 \tabularnewline
43 & -0.066197 & -0.7577 & 0.225009 \tabularnewline
44 & 0.07244 & 0.8291 & 0.204274 \tabularnewline
45 & -0.004546 & -0.052 & 0.47929 \tabularnewline
46 & -0.078034 & -0.8931 & 0.186711 \tabularnewline
47 & -0.099859 & -1.1429 & 0.127575 \tabularnewline
48 & -0.032439 & -0.3713 & 0.355515 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42845&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]-0.245813[/C][C]-2.8135[/C][C]0.002828[/C][/ROW]
[ROW][C]2[/C][C]0.126982[/C][C]1.4534[/C][C]0.074255[/C][/ROW]
[ROW][C]3[/C][C]0.045675[/C][C]0.5228[/C][C]0.301005[/C][/ROW]
[ROW][C]4[/C][C]-0.178398[/C][C]-2.0419[/C][C]0.021587[/C][/ROW]
[ROW][C]5[/C][C]-0.116003[/C][C]-1.3277[/C][C]0.093292[/C][/ROW]
[ROW][C]6[/C][C]-0.29559[/C][C]-3.3832[/C][C]0.000473[/C][/ROW]
[ROW][C]7[/C][C]-0.116154[/C][C]-1.3294[/C][C]0.093006[/C][/ROW]
[ROW][C]8[/C][C]-0.203977[/C][C]-2.3346[/C][C]0.010542[/C][/ROW]
[ROW][C]9[/C][C]-0.046531[/C][C]-0.5326[/C][C]0.297616[/C][/ROW]
[ROW][C]10[/C][C]0.041856[/C][C]0.4791[/C][C]0.316345[/C][/ROW]
[ROW][C]11[/C][C]-0.147059[/C][C]-1.6832[/C][C]0.047363[/C][/ROW]
[ROW][C]12[/C][C]0.420007[/C][C]4.8072[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.181281[/C][C]2.0749[/C][C]0.019979[/C][/ROW]
[ROW][C]14[/C][C]-0.030222[/C][C]-0.3459[/C][C]0.364985[/C][/ROW]
[ROW][C]15[/C][C]0.136324[/C][C]1.5603[/C][C]0.060551[/C][/ROW]
[ROW][C]16[/C][C]0.003433[/C][C]0.0393[/C][C]0.484359[/C][/ROW]
[ROW][C]17[/C][C]0.040919[/C][C]0.4683[/C][C]0.320161[/C][/ROW]
[ROW][C]18[/C][C]-0.116228[/C][C]-1.3303[/C][C]0.092867[/C][/ROW]
[ROW][C]19[/C][C]-0.017634[/C][C]-0.2018[/C][C]0.420182[/C][/ROW]
[ROW][C]20[/C][C]-0.014653[/C][C]-0.1677[/C][C]0.433536[/C][/ROW]
[ROW][C]21[/C][C]-0.071145[/C][C]-0.8143[/C][C]0.208477[/C][/ROW]
[ROW][C]22[/C][C]-0.09162[/C][C]-1.0486[/C][C]0.148136[/C][/ROW]
[ROW][C]23[/C][C]-0.186812[/C][C]-2.1382[/C][C]0.01718[/C][/ROW]
[ROW][C]24[/C][C]0.066976[/C][C]0.7666[/C][C]0.222356[/C][/ROW]
[ROW][C]25[/C][C]0.171379[/C][C]1.9615[/C][C]0.025969[/C][/ROW]
[ROW][C]26[/C][C]-0.058485[/C][C]-0.6694[/C][C]0.252212[/C][/ROW]
[ROW][C]27[/C][C]0.022311[/C][C]0.2554[/C][C]0.399423[/C][/ROW]
[ROW][C]28[/C][C]-0.057069[/C][C]-0.6532[/C][C]0.25739[/C][/ROW]
[ROW][C]29[/C][C]-0.024791[/C][C]-0.2837[/C][C]0.388528[/C][/ROW]
[ROW][C]30[/C][C]-0.013391[/C][C]-0.1533[/C][C]0.43921[/C][/ROW]
[ROW][C]31[/C][C]-0.021074[/C][C]-0.2412[/C][C]0.404889[/C][/ROW]
[ROW][C]32[/C][C]-0.085153[/C][C]-0.9746[/C][C]0.165774[/C][/ROW]
[ROW][C]33[/C][C]0.000431[/C][C]0.0049[/C][C]0.498035[/C][/ROW]
[ROW][C]34[/C][C]-0.013368[/C][C]-0.153[/C][C]0.439317[/C][/ROW]
[ROW][C]35[/C][C]-0.081788[/C][C]-0.9361[/C][C]0.175471[/C][/ROW]
[ROW][C]36[/C][C]0.145365[/C][C]1.6638[/C][C]0.049273[/C][/ROW]
[ROW][C]37[/C][C]-0.030424[/C][C]-0.3482[/C][C]0.364118[/C][/ROW]
[ROW][C]38[/C][C]-0.029272[/C][C]-0.335[/C][C]0.369067[/C][/ROW]
[ROW][C]39[/C][C]-0.063855[/C][C]-0.7309[/C][C]0.233087[/C][/ROW]
[ROW][C]40[/C][C]-0.039624[/C][C]-0.4535[/C][C]0.325464[/C][/ROW]
[ROW][C]41[/C][C]0.011711[/C][C]0.134[/C][C]0.446788[/C][/ROW]
[ROW][C]42[/C][C]0.005195[/C][C]0.0595[/C][C]0.476338[/C][/ROW]
[ROW][C]43[/C][C]-0.066197[/C][C]-0.7577[/C][C]0.225009[/C][/ROW]
[ROW][C]44[/C][C]0.07244[/C][C]0.8291[/C][C]0.204274[/C][/ROW]
[ROW][C]45[/C][C]-0.004546[/C][C]-0.052[/C][C]0.47929[/C][/ROW]
[ROW][C]46[/C][C]-0.078034[/C][C]-0.8931[/C][C]0.186711[/C][/ROW]
[ROW][C]47[/C][C]-0.099859[/C][C]-1.1429[/C][C]0.127575[/C][/ROW]
[ROW][C]48[/C][C]-0.032439[/C][C]-0.3713[/C][C]0.355515[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42845&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42845&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
1-0.245813-2.81350.002828
20.1269821.45340.074255
30.0456750.52280.301005
4-0.178398-2.04190.021587
5-0.116003-1.32770.093292
6-0.29559-3.38320.000473
7-0.116154-1.32940.093006
8-0.203977-2.33460.010542
9-0.046531-0.53260.297616
100.0418560.47910.316345
11-0.147059-1.68320.047363
120.4200074.80722e-06
130.1812812.07490.019979
14-0.030222-0.34590.364985
150.1363241.56030.060551
160.0034330.03930.484359
170.0409190.46830.320161
18-0.116228-1.33030.092867
19-0.017634-0.20180.420182
20-0.014653-0.16770.433536
21-0.071145-0.81430.208477
22-0.09162-1.04860.148136
23-0.186812-2.13820.01718
240.0669760.76660.222356
250.1713791.96150.025969
26-0.058485-0.66940.252212
270.0223110.25540.399423
28-0.057069-0.65320.25739
29-0.024791-0.28370.388528
30-0.013391-0.15330.43921
31-0.021074-0.24120.404889
32-0.085153-0.97460.165774
330.0004310.00490.498035
34-0.013368-0.1530.439317
35-0.081788-0.93610.175471
360.1453651.66380.049273
37-0.030424-0.34820.364118
38-0.029272-0.3350.369067
39-0.063855-0.73090.233087
40-0.039624-0.45350.325464
410.0117110.1340.446788
420.0051950.05950.476338
43-0.066197-0.75770.225009
440.072440.82910.204274
45-0.004546-0.0520.47929
46-0.078034-0.89310.186711
47-0.099859-1.14290.127575
48-0.032439-0.37130.355515


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')