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 computationWed, 05 Aug 2009 09:44:40 -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/05/t1249487178ivfo6sjwe6vypmo.htm/, Retrieved Sun, 28 Apr 2024 20:05:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42501, Retrieved Sun, 28 Apr 2024 20:05:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195

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] [Autocorrelatie ge...] [2009-08-05 15:44:40] [0d1085ed835696cdd537ad5fa07600ec] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11,73
11,74
11,65
11,38
11,53
11,75
11,82
11,83
11,63
11,55
11,4
11,4
11,63
11,46
11,35
11,7
11,52
11,64
11,9
11,73
11,7
11,54
11,97
11,64
11,98
11,79
11,66
11,96
11,83
12,36
12,53
12,55
12,53
12,24
12,34
12,05
12,22
12,23
11,92
12,13
12,1
12,15
12,23
12,08
12,02
11,93
12,16
11,87
11,93
11,79
11,43
11,63
11,93
11,89
11,83
11,59
12,04
11,81
11,9
11,72
11,91
11,94
11,91
11,84
12,01
11,89
11,8
11,7
11,5
11,76
11,61
11,27
11,64
11,39
11,54
11,62
11,59
11,44
11,31
11,56
11,4
11,51
11,5
11,24
11,8

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'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=42501&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=42501&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42501&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'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7413916.83530
20.690866.36940
30.6138545.65950
40.5166284.76314e-06
50.5282434.87023e-06
60.4283993.94968e-05
70.4096143.77650.000147
80.3135712.8910.002437
90.2921992.69390.004253
100.2997622.76370.003503
110.2042311.88290.031566
120.2438772.24840.013568
130.0917260.84570.200055
140.0217050.20010.420937
15-0.015093-0.13920.44483
16-0.077738-0.71670.237758
17-0.101042-0.93160.177102
18-0.166063-1.5310.064738
19-0.209123-1.9280.028596
20-0.223938-2.06460.021004
21-0.209722-1.93350.028249
22-0.154832-1.42750.078553
23-0.135583-1.250.107363
24-0.104528-0.96370.168965
25-0.174542-1.60920.055641
26-0.204822-1.88840.031194
27-0.201253-1.85550.033498
28-0.196149-1.80840.03704
29-0.210291-1.93880.027923
30-0.19521-1.79970.037725
31-0.217262-2.00310.024179
32-0.208787-1.92490.028792
33-0.190846-1.75950.041045
34-0.215248-1.98450.025214
35-0.247366-2.28060.012537
36-0.26441-2.43770.008432
37-0.312514-2.88120.002507
38-0.295987-2.72890.003861
39-0.314775-2.90210.00236
40-0.29177-2.690.0043
41-0.319495-2.94560.002079
42-0.298489-2.75190.00362
43-0.294873-2.71860.003973
44-0.290515-2.67840.004439
45-0.221531-2.04240.022105
46-0.250417-2.30870.011693
47-0.217066-2.00130.024278
48-0.218024-2.01010.023797

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.741391 & 6.8353 & 0 \tabularnewline
2 & 0.69086 & 6.3694 & 0 \tabularnewline
3 & 0.613854 & 5.6595 & 0 \tabularnewline
4 & 0.516628 & 4.7631 & 4e-06 \tabularnewline
5 & 0.528243 & 4.8702 & 3e-06 \tabularnewline
6 & 0.428399 & 3.9496 & 8e-05 \tabularnewline
7 & 0.409614 & 3.7765 & 0.000147 \tabularnewline
8 & 0.313571 & 2.891 & 0.002437 \tabularnewline
9 & 0.292199 & 2.6939 & 0.004253 \tabularnewline
10 & 0.299762 & 2.7637 & 0.003503 \tabularnewline
11 & 0.204231 & 1.8829 & 0.031566 \tabularnewline
12 & 0.243877 & 2.2484 & 0.013568 \tabularnewline
13 & 0.091726 & 0.8457 & 0.200055 \tabularnewline
14 & 0.021705 & 0.2001 & 0.420937 \tabularnewline
15 & -0.015093 & -0.1392 & 0.44483 \tabularnewline
16 & -0.077738 & -0.7167 & 0.237758 \tabularnewline
17 & -0.101042 & -0.9316 & 0.177102 \tabularnewline
18 & -0.166063 & -1.531 & 0.064738 \tabularnewline
19 & -0.209123 & -1.928 & 0.028596 \tabularnewline
20 & -0.223938 & -2.0646 & 0.021004 \tabularnewline
21 & -0.209722 & -1.9335 & 0.028249 \tabularnewline
22 & -0.154832 & -1.4275 & 0.078553 \tabularnewline
23 & -0.135583 & -1.25 & 0.107363 \tabularnewline
24 & -0.104528 & -0.9637 & 0.168965 \tabularnewline
25 & -0.174542 & -1.6092 & 0.055641 \tabularnewline
26 & -0.204822 & -1.8884 & 0.031194 \tabularnewline
27 & -0.201253 & -1.8555 & 0.033498 \tabularnewline
28 & -0.196149 & -1.8084 & 0.03704 \tabularnewline
29 & -0.210291 & -1.9388 & 0.027923 \tabularnewline
30 & -0.19521 & -1.7997 & 0.037725 \tabularnewline
31 & -0.217262 & -2.0031 & 0.024179 \tabularnewline
32 & -0.208787 & -1.9249 & 0.028792 \tabularnewline
33 & -0.190846 & -1.7595 & 0.041045 \tabularnewline
34 & -0.215248 & -1.9845 & 0.025214 \tabularnewline
35 & -0.247366 & -2.2806 & 0.012537 \tabularnewline
36 & -0.26441 & -2.4377 & 0.008432 \tabularnewline
37 & -0.312514 & -2.8812 & 0.002507 \tabularnewline
38 & -0.295987 & -2.7289 & 0.003861 \tabularnewline
39 & -0.314775 & -2.9021 & 0.00236 \tabularnewline
40 & -0.29177 & -2.69 & 0.0043 \tabularnewline
41 & -0.319495 & -2.9456 & 0.002079 \tabularnewline
42 & -0.298489 & -2.7519 & 0.00362 \tabularnewline
43 & -0.294873 & -2.7186 & 0.003973 \tabularnewline
44 & -0.290515 & -2.6784 & 0.004439 \tabularnewline
45 & -0.221531 & -2.0424 & 0.022105 \tabularnewline
46 & -0.250417 & -2.3087 & 0.011693 \tabularnewline
47 & -0.217066 & -2.0013 & 0.024278 \tabularnewline
48 & -0.218024 & -2.0101 & 0.023797 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42501&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]0.741391[/C][C]6.8353[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.69086[/C][C]6.3694[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.613854[/C][C]5.6595[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.516628[/C][C]4.7631[/C][C]4e-06[/C][/ROW]
[ROW][C]5[/C][C]0.528243[/C][C]4.8702[/C][C]3e-06[/C][/ROW]
[ROW][C]6[/C][C]0.428399[/C][C]3.9496[/C][C]8e-05[/C][/ROW]
[ROW][C]7[/C][C]0.409614[/C][C]3.7765[/C][C]0.000147[/C][/ROW]
[ROW][C]8[/C][C]0.313571[/C][C]2.891[/C][C]0.002437[/C][/ROW]
[ROW][C]9[/C][C]0.292199[/C][C]2.6939[/C][C]0.004253[/C][/ROW]
[ROW][C]10[/C][C]0.299762[/C][C]2.7637[/C][C]0.003503[/C][/ROW]
[ROW][C]11[/C][C]0.204231[/C][C]1.8829[/C][C]0.031566[/C][/ROW]
[ROW][C]12[/C][C]0.243877[/C][C]2.2484[/C][C]0.013568[/C][/ROW]
[ROW][C]13[/C][C]0.091726[/C][C]0.8457[/C][C]0.200055[/C][/ROW]
[ROW][C]14[/C][C]0.021705[/C][C]0.2001[/C][C]0.420937[/C][/ROW]
[ROW][C]15[/C][C]-0.015093[/C][C]-0.1392[/C][C]0.44483[/C][/ROW]
[ROW][C]16[/C][C]-0.077738[/C][C]-0.7167[/C][C]0.237758[/C][/ROW]
[ROW][C]17[/C][C]-0.101042[/C][C]-0.9316[/C][C]0.177102[/C][/ROW]
[ROW][C]18[/C][C]-0.166063[/C][C]-1.531[/C][C]0.064738[/C][/ROW]
[ROW][C]19[/C][C]-0.209123[/C][C]-1.928[/C][C]0.028596[/C][/ROW]
[ROW][C]20[/C][C]-0.223938[/C][C]-2.0646[/C][C]0.021004[/C][/ROW]
[ROW][C]21[/C][C]-0.209722[/C][C]-1.9335[/C][C]0.028249[/C][/ROW]
[ROW][C]22[/C][C]-0.154832[/C][C]-1.4275[/C][C]0.078553[/C][/ROW]
[ROW][C]23[/C][C]-0.135583[/C][C]-1.25[/C][C]0.107363[/C][/ROW]
[ROW][C]24[/C][C]-0.104528[/C][C]-0.9637[/C][C]0.168965[/C][/ROW]
[ROW][C]25[/C][C]-0.174542[/C][C]-1.6092[/C][C]0.055641[/C][/ROW]
[ROW][C]26[/C][C]-0.204822[/C][C]-1.8884[/C][C]0.031194[/C][/ROW]
[ROW][C]27[/C][C]-0.201253[/C][C]-1.8555[/C][C]0.033498[/C][/ROW]
[ROW][C]28[/C][C]-0.196149[/C][C]-1.8084[/C][C]0.03704[/C][/ROW]
[ROW][C]29[/C][C]-0.210291[/C][C]-1.9388[/C][C]0.027923[/C][/ROW]
[ROW][C]30[/C][C]-0.19521[/C][C]-1.7997[/C][C]0.037725[/C][/ROW]
[ROW][C]31[/C][C]-0.217262[/C][C]-2.0031[/C][C]0.024179[/C][/ROW]
[ROW][C]32[/C][C]-0.208787[/C][C]-1.9249[/C][C]0.028792[/C][/ROW]
[ROW][C]33[/C][C]-0.190846[/C][C]-1.7595[/C][C]0.041045[/C][/ROW]
[ROW][C]34[/C][C]-0.215248[/C][C]-1.9845[/C][C]0.025214[/C][/ROW]
[ROW][C]35[/C][C]-0.247366[/C][C]-2.2806[/C][C]0.012537[/C][/ROW]
[ROW][C]36[/C][C]-0.26441[/C][C]-2.4377[/C][C]0.008432[/C][/ROW]
[ROW][C]37[/C][C]-0.312514[/C][C]-2.8812[/C][C]0.002507[/C][/ROW]
[ROW][C]38[/C][C]-0.295987[/C][C]-2.7289[/C][C]0.003861[/C][/ROW]
[ROW][C]39[/C][C]-0.314775[/C][C]-2.9021[/C][C]0.00236[/C][/ROW]
[ROW][C]40[/C][C]-0.29177[/C][C]-2.69[/C][C]0.0043[/C][/ROW]
[ROW][C]41[/C][C]-0.319495[/C][C]-2.9456[/C][C]0.002079[/C][/ROW]
[ROW][C]42[/C][C]-0.298489[/C][C]-2.7519[/C][C]0.00362[/C][/ROW]
[ROW][C]43[/C][C]-0.294873[/C][C]-2.7186[/C][C]0.003973[/C][/ROW]
[ROW][C]44[/C][C]-0.290515[/C][C]-2.6784[/C][C]0.004439[/C][/ROW]
[ROW][C]45[/C][C]-0.221531[/C][C]-2.0424[/C][C]0.022105[/C][/ROW]
[ROW][C]46[/C][C]-0.250417[/C][C]-2.3087[/C][C]0.011693[/C][/ROW]
[ROW][C]47[/C][C]-0.217066[/C][C]-2.0013[/C][C]0.024278[/C][/ROW]
[ROW][C]48[/C][C]-0.218024[/C][C]-2.0101[/C][C]0.023797[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42501&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42501&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
10.7413916.83530
20.690866.36940
30.6138545.65950
40.5166284.76314e-06
50.5282434.87023e-06
60.4283993.94968e-05
70.4096143.77650.000147
80.3135712.8910.002437
90.2921992.69390.004253
100.2997622.76370.003503
110.2042311.88290.031566
120.2438772.24840.013568
130.0917260.84570.200055
140.0217050.20010.420937
15-0.015093-0.13920.44483
16-0.077738-0.71670.237758
17-0.101042-0.93160.177102
18-0.166063-1.5310.064738
19-0.209123-1.9280.028596
20-0.223938-2.06460.021004
21-0.209722-1.93350.028249
22-0.154832-1.42750.078553
23-0.135583-1.250.107363
24-0.104528-0.96370.168965
25-0.174542-1.60920.055641
26-0.204822-1.88840.031194
27-0.201253-1.85550.033498
28-0.196149-1.80840.03704
29-0.210291-1.93880.027923
30-0.19521-1.79970.037725
31-0.217262-2.00310.024179
32-0.208787-1.92490.028792
33-0.190846-1.75950.041045
34-0.215248-1.98450.025214
35-0.247366-2.28060.012537
36-0.26441-2.43770.008432
37-0.312514-2.88120.002507
38-0.295987-2.72890.003861
39-0.314775-2.90210.00236
40-0.29177-2.690.0043
41-0.319495-2.94560.002079
42-0.298489-2.75190.00362
43-0.294873-2.71860.003973
44-0.290515-2.67840.004439
45-0.221531-2.04240.022105
46-0.250417-2.30870.011693
47-0.217066-2.00130.024278
48-0.218024-2.01010.023797






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7413916.83530
20.3135412.89070.002439
30.0733750.67650.250286
4-0.066541-0.61350.270598
50.1744671.60850.055716
6-0.09547-0.88020.19062
70.0327450.30190.381736
8-0.141873-1.3080.097199
90.0774360.71390.238616
100.0891040.82150.206831
11-0.133163-1.22770.111474
120.0983470.90670.183561
13-0.272382-2.51120.006961
14-0.126552-1.16680.123287
15-0.027082-0.24970.401717
160.0256970.23690.406646
17-0.108044-0.99610.16101
18-0.000529-0.00490.49806
19-0.103583-0.9550.171145
200.0869930.8020.212384
210.0757940.69880.243296
220.095140.87710.19144
230.1451581.33830.092185
240.0165270.15240.439626
25-0.18713-1.72520.044058
26-0.095652-0.88190.190168
27-0.026955-0.24850.402169
280.0248180.22880.409784
29-0.062277-0.57420.283686
300.0514750.47460.318152
31-0.056942-0.5250.300483
32-0.052093-0.48030.316134
33-0.110426-1.01810.155766
34-0.166472-1.53480.064274
35-0.158255-1.4590.07412
36-0.039823-0.36720.35721
37-0.040349-0.3720.355408
380.1000620.92250.179432
39-0.053774-0.49580.310668
400.0376020.34670.364846
410.0061880.05710.47732
420.0891940.82230.206596
43-0.007221-0.06660.473539
440.0085330.07870.468739
450.0656070.60490.273439
46-0.121807-1.1230.132299
470.0289030.26650.395261
48-0.09901-0.91280.181957

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.741391 & 6.8353 & 0 \tabularnewline
2 & 0.313541 & 2.8907 & 0.002439 \tabularnewline
3 & 0.073375 & 0.6765 & 0.250286 \tabularnewline
4 & -0.066541 & -0.6135 & 0.270598 \tabularnewline
5 & 0.174467 & 1.6085 & 0.055716 \tabularnewline
6 & -0.09547 & -0.8802 & 0.19062 \tabularnewline
7 & 0.032745 & 0.3019 & 0.381736 \tabularnewline
8 & -0.141873 & -1.308 & 0.097199 \tabularnewline
9 & 0.077436 & 0.7139 & 0.238616 \tabularnewline
10 & 0.089104 & 0.8215 & 0.206831 \tabularnewline
11 & -0.133163 & -1.2277 & 0.111474 \tabularnewline
12 & 0.098347 & 0.9067 & 0.183561 \tabularnewline
13 & -0.272382 & -2.5112 & 0.006961 \tabularnewline
14 & -0.126552 & -1.1668 & 0.123287 \tabularnewline
15 & -0.027082 & -0.2497 & 0.401717 \tabularnewline
16 & 0.025697 & 0.2369 & 0.406646 \tabularnewline
17 & -0.108044 & -0.9961 & 0.16101 \tabularnewline
18 & -0.000529 & -0.0049 & 0.49806 \tabularnewline
19 & -0.103583 & -0.955 & 0.171145 \tabularnewline
20 & 0.086993 & 0.802 & 0.212384 \tabularnewline
21 & 0.075794 & 0.6988 & 0.243296 \tabularnewline
22 & 0.09514 & 0.8771 & 0.19144 \tabularnewline
23 & 0.145158 & 1.3383 & 0.092185 \tabularnewline
24 & 0.016527 & 0.1524 & 0.439626 \tabularnewline
25 & -0.18713 & -1.7252 & 0.044058 \tabularnewline
26 & -0.095652 & -0.8819 & 0.190168 \tabularnewline
27 & -0.026955 & -0.2485 & 0.402169 \tabularnewline
28 & 0.024818 & 0.2288 & 0.409784 \tabularnewline
29 & -0.062277 & -0.5742 & 0.283686 \tabularnewline
30 & 0.051475 & 0.4746 & 0.318152 \tabularnewline
31 & -0.056942 & -0.525 & 0.300483 \tabularnewline
32 & -0.052093 & -0.4803 & 0.316134 \tabularnewline
33 & -0.110426 & -1.0181 & 0.155766 \tabularnewline
34 & -0.166472 & -1.5348 & 0.064274 \tabularnewline
35 & -0.158255 & -1.459 & 0.07412 \tabularnewline
36 & -0.039823 & -0.3672 & 0.35721 \tabularnewline
37 & -0.040349 & -0.372 & 0.355408 \tabularnewline
38 & 0.100062 & 0.9225 & 0.179432 \tabularnewline
39 & -0.053774 & -0.4958 & 0.310668 \tabularnewline
40 & 0.037602 & 0.3467 & 0.364846 \tabularnewline
41 & 0.006188 & 0.0571 & 0.47732 \tabularnewline
42 & 0.089194 & 0.8223 & 0.206596 \tabularnewline
43 & -0.007221 & -0.0666 & 0.473539 \tabularnewline
44 & 0.008533 & 0.0787 & 0.468739 \tabularnewline
45 & 0.065607 & 0.6049 & 0.273439 \tabularnewline
46 & -0.121807 & -1.123 & 0.132299 \tabularnewline
47 & 0.028903 & 0.2665 & 0.395261 \tabularnewline
48 & -0.09901 & -0.9128 & 0.181957 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42501&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]0.741391[/C][C]6.8353[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.313541[/C][C]2.8907[/C][C]0.002439[/C][/ROW]
[ROW][C]3[/C][C]0.073375[/C][C]0.6765[/C][C]0.250286[/C][/ROW]
[ROW][C]4[/C][C]-0.066541[/C][C]-0.6135[/C][C]0.270598[/C][/ROW]
[ROW][C]5[/C][C]0.174467[/C][C]1.6085[/C][C]0.055716[/C][/ROW]
[ROW][C]6[/C][C]-0.09547[/C][C]-0.8802[/C][C]0.19062[/C][/ROW]
[ROW][C]7[/C][C]0.032745[/C][C]0.3019[/C][C]0.381736[/C][/ROW]
[ROW][C]8[/C][C]-0.141873[/C][C]-1.308[/C][C]0.097199[/C][/ROW]
[ROW][C]9[/C][C]0.077436[/C][C]0.7139[/C][C]0.238616[/C][/ROW]
[ROW][C]10[/C][C]0.089104[/C][C]0.8215[/C][C]0.206831[/C][/ROW]
[ROW][C]11[/C][C]-0.133163[/C][C]-1.2277[/C][C]0.111474[/C][/ROW]
[ROW][C]12[/C][C]0.098347[/C][C]0.9067[/C][C]0.183561[/C][/ROW]
[ROW][C]13[/C][C]-0.272382[/C][C]-2.5112[/C][C]0.006961[/C][/ROW]
[ROW][C]14[/C][C]-0.126552[/C][C]-1.1668[/C][C]0.123287[/C][/ROW]
[ROW][C]15[/C][C]-0.027082[/C][C]-0.2497[/C][C]0.401717[/C][/ROW]
[ROW][C]16[/C][C]0.025697[/C][C]0.2369[/C][C]0.406646[/C][/ROW]
[ROW][C]17[/C][C]-0.108044[/C][C]-0.9961[/C][C]0.16101[/C][/ROW]
[ROW][C]18[/C][C]-0.000529[/C][C]-0.0049[/C][C]0.49806[/C][/ROW]
[ROW][C]19[/C][C]-0.103583[/C][C]-0.955[/C][C]0.171145[/C][/ROW]
[ROW][C]20[/C][C]0.086993[/C][C]0.802[/C][C]0.212384[/C][/ROW]
[ROW][C]21[/C][C]0.075794[/C][C]0.6988[/C][C]0.243296[/C][/ROW]
[ROW][C]22[/C][C]0.09514[/C][C]0.8771[/C][C]0.19144[/C][/ROW]
[ROW][C]23[/C][C]0.145158[/C][C]1.3383[/C][C]0.092185[/C][/ROW]
[ROW][C]24[/C][C]0.016527[/C][C]0.1524[/C][C]0.439626[/C][/ROW]
[ROW][C]25[/C][C]-0.18713[/C][C]-1.7252[/C][C]0.044058[/C][/ROW]
[ROW][C]26[/C][C]-0.095652[/C][C]-0.8819[/C][C]0.190168[/C][/ROW]
[ROW][C]27[/C][C]-0.026955[/C][C]-0.2485[/C][C]0.402169[/C][/ROW]
[ROW][C]28[/C][C]0.024818[/C][C]0.2288[/C][C]0.409784[/C][/ROW]
[ROW][C]29[/C][C]-0.062277[/C][C]-0.5742[/C][C]0.283686[/C][/ROW]
[ROW][C]30[/C][C]0.051475[/C][C]0.4746[/C][C]0.318152[/C][/ROW]
[ROW][C]31[/C][C]-0.056942[/C][C]-0.525[/C][C]0.300483[/C][/ROW]
[ROW][C]32[/C][C]-0.052093[/C][C]-0.4803[/C][C]0.316134[/C][/ROW]
[ROW][C]33[/C][C]-0.110426[/C][C]-1.0181[/C][C]0.155766[/C][/ROW]
[ROW][C]34[/C][C]-0.166472[/C][C]-1.5348[/C][C]0.064274[/C][/ROW]
[ROW][C]35[/C][C]-0.158255[/C][C]-1.459[/C][C]0.07412[/C][/ROW]
[ROW][C]36[/C][C]-0.039823[/C][C]-0.3672[/C][C]0.35721[/C][/ROW]
[ROW][C]37[/C][C]-0.040349[/C][C]-0.372[/C][C]0.355408[/C][/ROW]
[ROW][C]38[/C][C]0.100062[/C][C]0.9225[/C][C]0.179432[/C][/ROW]
[ROW][C]39[/C][C]-0.053774[/C][C]-0.4958[/C][C]0.310668[/C][/ROW]
[ROW][C]40[/C][C]0.037602[/C][C]0.3467[/C][C]0.364846[/C][/ROW]
[ROW][C]41[/C][C]0.006188[/C][C]0.0571[/C][C]0.47732[/C][/ROW]
[ROW][C]42[/C][C]0.089194[/C][C]0.8223[/C][C]0.206596[/C][/ROW]
[ROW][C]43[/C][C]-0.007221[/C][C]-0.0666[/C][C]0.473539[/C][/ROW]
[ROW][C]44[/C][C]0.008533[/C][C]0.0787[/C][C]0.468739[/C][/ROW]
[ROW][C]45[/C][C]0.065607[/C][C]0.6049[/C][C]0.273439[/C][/ROW]
[ROW][C]46[/C][C]-0.121807[/C][C]-1.123[/C][C]0.132299[/C][/ROW]
[ROW][C]47[/C][C]0.028903[/C][C]0.2665[/C][C]0.395261[/C][/ROW]
[ROW][C]48[/C][C]-0.09901[/C][C]-0.9128[/C][C]0.181957[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42501&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42501&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
10.7413916.83530
20.3135412.89070.002439
30.0733750.67650.250286
4-0.066541-0.61350.270598
50.1744671.60850.055716
6-0.09547-0.88020.19062
70.0327450.30190.381736
8-0.141873-1.3080.097199
90.0774360.71390.238616
100.0891040.82150.206831
11-0.133163-1.22770.111474
120.0983470.90670.183561
13-0.272382-2.51120.006961
14-0.126552-1.16680.123287
15-0.027082-0.24970.401717
160.0256970.23690.406646
17-0.108044-0.99610.16101
18-0.000529-0.00490.49806
19-0.103583-0.9550.171145
200.0869930.8020.212384
210.0757940.69880.243296
220.095140.87710.19144
230.1451581.33830.092185
240.0165270.15240.439626
25-0.18713-1.72520.044058
26-0.095652-0.88190.190168
27-0.026955-0.24850.402169
280.0248180.22880.409784
29-0.062277-0.57420.283686
300.0514750.47460.318152
31-0.056942-0.5250.300483
32-0.052093-0.48030.316134
33-0.110426-1.01810.155766
34-0.166472-1.53480.064274
35-0.158255-1.4590.07412
36-0.039823-0.36720.35721
37-0.040349-0.3720.355408
380.1000620.92250.179432
39-0.053774-0.49580.310668
400.0376020.34670.364846
410.0061880.05710.47732
420.0891940.82230.206596
43-0.007221-0.06660.473539
440.0085330.07870.468739
450.0656070.60490.273439
46-0.121807-1.1230.132299
470.0289030.26650.395261
48-0.09901-0.91280.181957


Figures (Output of Computation)

Input Parameters & R Code

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