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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, 29 Dec 2016 11:02:21 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/29/t14830094167ddl9t5e9gdw0bv.htm/, Retrieved Thu, 02 May 2024 05:41:05 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 02 May 2024 05:41:05 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.55
100.41
100.54
100.66
100.86
100.88
100.88
101.37
101.84
102.25
102.58
102.59
102.59
101.95
101.94
102.18
102.47
102.5
102.5
102.87
103.08
103.47
103.65
103.68
99.76
99.13
99.19
99.37
99.61
99.65
99.66
99.98
100.38
100.92
101.16
101.19
101.52
101.14
101.38
101.46
101.52
101.53
100.79
101.2
101.28
101.59
101.75
101.76
103.03
102.97
103.11
103.17
103.17
103.2
102.17
102.22
102.18
102.44
102.61
102.63

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' @ yule.wessa.net

\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' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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' @ yule.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1443971.10910.135936
20.0100360.07710.469407
3-0.103079-0.79180.215835
4-0.103215-0.79280.215533
5-0.008524-0.06550.474009
6-0.131579-1.01070.158149
7-0.032698-0.25120.401283
8-0.147117-1.130.131519
9-0.156083-1.19890.117681
10-0.009767-0.0750.470226
110.0974080.74820.228654
120.1077520.82770.2056
130.1066420.81910.208005
14-0.060668-0.4660.321467
15-0.061692-0.47390.318672
16-0.082535-0.6340.264278
17-0.004624-0.03550.485895
180.1073760.82480.206413
19-0.05698-0.43770.33161
20-0.062087-0.47690.317598
21-0.103423-0.79440.215071
22-0.049308-0.37870.35312
23-0.009878-0.07590.469888
24-0.154687-1.18820.119763
250.0385910.29640.383975
26-0.005282-0.04060.483887
270.0104660.08040.468099
280.0232510.17860.429434
290.0893450.68630.247616
300.1828981.40490.082653
310.0067840.05210.479309
32-0.005855-0.0450.482141
33-0.067748-0.52040.302373
34-0.041988-0.32250.374101
35-0.056517-0.43410.332893
360.0270790.2080.417973
370.0045460.03490.486131
380.0089580.06880.472688
390.0135850.10440.458622
400.0229360.17620.43038
410.0699780.53750.296468
420.0023480.0180.492837
430.0064890.04980.480209
44-0.014291-0.10980.456482
45-0.020226-0.15540.438534
46-0.015865-0.12190.451712
47-0.029601-0.22740.410461
480.0071840.05520.478091

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.144397 & 1.1091 & 0.135936 \tabularnewline
2 & 0.010036 & 0.0771 & 0.469407 \tabularnewline
3 & -0.103079 & -0.7918 & 0.215835 \tabularnewline
4 & -0.103215 & -0.7928 & 0.215533 \tabularnewline
5 & -0.008524 & -0.0655 & 0.474009 \tabularnewline
6 & -0.131579 & -1.0107 & 0.158149 \tabularnewline
7 & -0.032698 & -0.2512 & 0.401283 \tabularnewline
8 & -0.147117 & -1.13 & 0.131519 \tabularnewline
9 & -0.156083 & -1.1989 & 0.117681 \tabularnewline
10 & -0.009767 & -0.075 & 0.470226 \tabularnewline
11 & 0.097408 & 0.7482 & 0.228654 \tabularnewline
12 & 0.107752 & 0.8277 & 0.2056 \tabularnewline
13 & 0.106642 & 0.8191 & 0.208005 \tabularnewline
14 & -0.060668 & -0.466 & 0.321467 \tabularnewline
15 & -0.061692 & -0.4739 & 0.318672 \tabularnewline
16 & -0.082535 & -0.634 & 0.264278 \tabularnewline
17 & -0.004624 & -0.0355 & 0.485895 \tabularnewline
18 & 0.107376 & 0.8248 & 0.206413 \tabularnewline
19 & -0.05698 & -0.4377 & 0.33161 \tabularnewline
20 & -0.062087 & -0.4769 & 0.317598 \tabularnewline
21 & -0.103423 & -0.7944 & 0.215071 \tabularnewline
22 & -0.049308 & -0.3787 & 0.35312 \tabularnewline
23 & -0.009878 & -0.0759 & 0.469888 \tabularnewline
24 & -0.154687 & -1.1882 & 0.119763 \tabularnewline
25 & 0.038591 & 0.2964 & 0.383975 \tabularnewline
26 & -0.005282 & -0.0406 & 0.483887 \tabularnewline
27 & 0.010466 & 0.0804 & 0.468099 \tabularnewline
28 & 0.023251 & 0.1786 & 0.429434 \tabularnewline
29 & 0.089345 & 0.6863 & 0.247616 \tabularnewline
30 & 0.182898 & 1.4049 & 0.082653 \tabularnewline
31 & 0.006784 & 0.0521 & 0.479309 \tabularnewline
32 & -0.005855 & -0.045 & 0.482141 \tabularnewline
33 & -0.067748 & -0.5204 & 0.302373 \tabularnewline
34 & -0.041988 & -0.3225 & 0.374101 \tabularnewline
35 & -0.056517 & -0.4341 & 0.332893 \tabularnewline
36 & 0.027079 & 0.208 & 0.417973 \tabularnewline
37 & 0.004546 & 0.0349 & 0.486131 \tabularnewline
38 & 0.008958 & 0.0688 & 0.472688 \tabularnewline
39 & 0.013585 & 0.1044 & 0.458622 \tabularnewline
40 & 0.022936 & 0.1762 & 0.43038 \tabularnewline
41 & 0.069978 & 0.5375 & 0.296468 \tabularnewline
42 & 0.002348 & 0.018 & 0.492837 \tabularnewline
43 & 0.006489 & 0.0498 & 0.480209 \tabularnewline
44 & -0.014291 & -0.1098 & 0.456482 \tabularnewline
45 & -0.020226 & -0.1554 & 0.438534 \tabularnewline
46 & -0.015865 & -0.1219 & 0.451712 \tabularnewline
47 & -0.029601 & -0.2274 & 0.410461 \tabularnewline
48 & 0.007184 & 0.0552 & 0.478091 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.144397[/C][C]1.1091[/C][C]0.135936[/C][/ROW]
[ROW][C]2[/C][C]0.010036[/C][C]0.0771[/C][C]0.469407[/C][/ROW]
[ROW][C]3[/C][C]-0.103079[/C][C]-0.7918[/C][C]0.215835[/C][/ROW]
[ROW][C]4[/C][C]-0.103215[/C][C]-0.7928[/C][C]0.215533[/C][/ROW]
[ROW][C]5[/C][C]-0.008524[/C][C]-0.0655[/C][C]0.474009[/C][/ROW]
[ROW][C]6[/C][C]-0.131579[/C][C]-1.0107[/C][C]0.158149[/C][/ROW]
[ROW][C]7[/C][C]-0.032698[/C][C]-0.2512[/C][C]0.401283[/C][/ROW]
[ROW][C]8[/C][C]-0.147117[/C][C]-1.13[/C][C]0.131519[/C][/ROW]
[ROW][C]9[/C][C]-0.156083[/C][C]-1.1989[/C][C]0.117681[/C][/ROW]
[ROW][C]10[/C][C]-0.009767[/C][C]-0.075[/C][C]0.470226[/C][/ROW]
[ROW][C]11[/C][C]0.097408[/C][C]0.7482[/C][C]0.228654[/C][/ROW]
[ROW][C]12[/C][C]0.107752[/C][C]0.8277[/C][C]0.2056[/C][/ROW]
[ROW][C]13[/C][C]0.106642[/C][C]0.8191[/C][C]0.208005[/C][/ROW]
[ROW][C]14[/C][C]-0.060668[/C][C]-0.466[/C][C]0.321467[/C][/ROW]
[ROW][C]15[/C][C]-0.061692[/C][C]-0.4739[/C][C]0.318672[/C][/ROW]
[ROW][C]16[/C][C]-0.082535[/C][C]-0.634[/C][C]0.264278[/C][/ROW]
[ROW][C]17[/C][C]-0.004624[/C][C]-0.0355[/C][C]0.485895[/C][/ROW]
[ROW][C]18[/C][C]0.107376[/C][C]0.8248[/C][C]0.206413[/C][/ROW]
[ROW][C]19[/C][C]-0.05698[/C][C]-0.4377[/C][C]0.33161[/C][/ROW]
[ROW][C]20[/C][C]-0.062087[/C][C]-0.4769[/C][C]0.317598[/C][/ROW]
[ROW][C]21[/C][C]-0.103423[/C][C]-0.7944[/C][C]0.215071[/C][/ROW]
[ROW][C]22[/C][C]-0.049308[/C][C]-0.3787[/C][C]0.35312[/C][/ROW]
[ROW][C]23[/C][C]-0.009878[/C][C]-0.0759[/C][C]0.469888[/C][/ROW]
[ROW][C]24[/C][C]-0.154687[/C][C]-1.1882[/C][C]0.119763[/C][/ROW]
[ROW][C]25[/C][C]0.038591[/C][C]0.2964[/C][C]0.383975[/C][/ROW]
[ROW][C]26[/C][C]-0.005282[/C][C]-0.0406[/C][C]0.483887[/C][/ROW]
[ROW][C]27[/C][C]0.010466[/C][C]0.0804[/C][C]0.468099[/C][/ROW]
[ROW][C]28[/C][C]0.023251[/C][C]0.1786[/C][C]0.429434[/C][/ROW]
[ROW][C]29[/C][C]0.089345[/C][C]0.6863[/C][C]0.247616[/C][/ROW]
[ROW][C]30[/C][C]0.182898[/C][C]1.4049[/C][C]0.082653[/C][/ROW]
[ROW][C]31[/C][C]0.006784[/C][C]0.0521[/C][C]0.479309[/C][/ROW]
[ROW][C]32[/C][C]-0.005855[/C][C]-0.045[/C][C]0.482141[/C][/ROW]
[ROW][C]33[/C][C]-0.067748[/C][C]-0.5204[/C][C]0.302373[/C][/ROW]
[ROW][C]34[/C][C]-0.041988[/C][C]-0.3225[/C][C]0.374101[/C][/ROW]
[ROW][C]35[/C][C]-0.056517[/C][C]-0.4341[/C][C]0.332893[/C][/ROW]
[ROW][C]36[/C][C]0.027079[/C][C]0.208[/C][C]0.417973[/C][/ROW]
[ROW][C]37[/C][C]0.004546[/C][C]0.0349[/C][C]0.486131[/C][/ROW]
[ROW][C]38[/C][C]0.008958[/C][C]0.0688[/C][C]0.472688[/C][/ROW]
[ROW][C]39[/C][C]0.013585[/C][C]0.1044[/C][C]0.458622[/C][/ROW]
[ROW][C]40[/C][C]0.022936[/C][C]0.1762[/C][C]0.43038[/C][/ROW]
[ROW][C]41[/C][C]0.069978[/C][C]0.5375[/C][C]0.296468[/C][/ROW]
[ROW][C]42[/C][C]0.002348[/C][C]0.018[/C][C]0.492837[/C][/ROW]
[ROW][C]43[/C][C]0.006489[/C][C]0.0498[/C][C]0.480209[/C][/ROW]
[ROW][C]44[/C][C]-0.014291[/C][C]-0.1098[/C][C]0.456482[/C][/ROW]
[ROW][C]45[/C][C]-0.020226[/C][C]-0.1554[/C][C]0.438534[/C][/ROW]
[ROW][C]46[/C][C]-0.015865[/C][C]-0.1219[/C][C]0.451712[/C][/ROW]
[ROW][C]47[/C][C]-0.029601[/C][C]-0.2274[/C][C]0.410461[/C][/ROW]
[ROW][C]48[/C][C]0.007184[/C][C]0.0552[/C][C]0.478091[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
10.1443971.10910.135936
20.0100360.07710.469407
3-0.103079-0.79180.215835
4-0.103215-0.79280.215533
5-0.008524-0.06550.474009
6-0.131579-1.01070.158149
7-0.032698-0.25120.401283
8-0.147117-1.130.131519
9-0.156083-1.19890.117681
10-0.009767-0.0750.470226
110.0974080.74820.228654
120.1077520.82770.2056
130.1066420.81910.208005
14-0.060668-0.4660.321467
15-0.061692-0.47390.318672
16-0.082535-0.6340.264278
17-0.004624-0.03550.485895
180.1073760.82480.206413
19-0.05698-0.43770.33161
20-0.062087-0.47690.317598
21-0.103423-0.79440.215071
22-0.049308-0.37870.35312
23-0.009878-0.07590.469888
24-0.154687-1.18820.119763
250.0385910.29640.383975
26-0.005282-0.04060.483887
270.0104660.08040.468099
280.0232510.17860.429434
290.0893450.68630.247616
300.1828981.40490.082653
310.0067840.05210.479309
32-0.005855-0.0450.482141
33-0.067748-0.52040.302373
34-0.041988-0.32250.374101
35-0.056517-0.43410.332893
360.0270790.2080.417973
370.0045460.03490.486131
380.0089580.06880.472688
390.0135850.10440.458622
400.0229360.17620.43038
410.0699780.53750.296468
420.0023480.0180.492837
430.0064890.04980.480209
44-0.014291-0.10980.456482
45-0.020226-0.15540.438534
46-0.015865-0.12190.451712
47-0.029601-0.22740.410461
480.0071840.05520.478091






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1443971.10910.135936
2-0.011045-0.08480.466339
3-0.105155-0.80770.211252
4-0.075547-0.58030.281965
50.0186320.14310.443344
6-0.1469-1.12840.131868
7-0.013254-0.10180.459628
8-0.153849-1.18170.121025
9-0.154233-1.18470.120446
10-0.004507-0.03460.486251
110.0686510.52730.299974
120.0072490.05570.477892
130.0676770.51980.302562
14-0.112139-0.86140.196264
15-0.068183-0.52370.301217
16-0.076718-0.58930.27896
17-0.012821-0.09850.460942
180.0802170.61620.27008
19-0.066848-0.51350.304771
20-0.055985-0.430.334369
21-0.063769-0.48980.31304
22-0.068449-0.52580.30051
23-0.085058-0.65330.258036
24-0.23519-1.80650.037968
250.0014910.01140.495452
26-0.03521-0.27050.393878
27-0.033398-0.25650.399215
28-0.059811-0.45940.323813
290.0186270.14310.443359
300.0533810.410.341635
31-0.084273-0.64730.25997
32-0.044296-0.34020.367441
33-0.087107-0.66910.253027
34-0.017802-0.13670.445851
35-0.064812-0.49780.310228
360.0277180.21290.416068
37-0.01154-0.08860.464833
38-0.018684-0.14350.443186
39-0.014367-0.11040.456251
40-0.057421-0.44110.330391
41-0.010891-0.08370.466808
42-0.03874-0.29760.38354
43-0.080382-0.61740.269666
44-0.001265-0.00970.496139
45-0.017851-0.13710.445703
46-0.004377-0.03360.486647
47-0.079657-0.61190.271492
48-0.077358-0.59420.277326

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.144397 & 1.1091 & 0.135936 \tabularnewline
2 & -0.011045 & -0.0848 & 0.466339 \tabularnewline
3 & -0.105155 & -0.8077 & 0.211252 \tabularnewline
4 & -0.075547 & -0.5803 & 0.281965 \tabularnewline
5 & 0.018632 & 0.1431 & 0.443344 \tabularnewline
6 & -0.1469 & -1.1284 & 0.131868 \tabularnewline
7 & -0.013254 & -0.1018 & 0.459628 \tabularnewline
8 & -0.153849 & -1.1817 & 0.121025 \tabularnewline
9 & -0.154233 & -1.1847 & 0.120446 \tabularnewline
10 & -0.004507 & -0.0346 & 0.486251 \tabularnewline
11 & 0.068651 & 0.5273 & 0.299974 \tabularnewline
12 & 0.007249 & 0.0557 & 0.477892 \tabularnewline
13 & 0.067677 & 0.5198 & 0.302562 \tabularnewline
14 & -0.112139 & -0.8614 & 0.196264 \tabularnewline
15 & -0.068183 & -0.5237 & 0.301217 \tabularnewline
16 & -0.076718 & -0.5893 & 0.27896 \tabularnewline
17 & -0.012821 & -0.0985 & 0.460942 \tabularnewline
18 & 0.080217 & 0.6162 & 0.27008 \tabularnewline
19 & -0.066848 & -0.5135 & 0.304771 \tabularnewline
20 & -0.055985 & -0.43 & 0.334369 \tabularnewline
21 & -0.063769 & -0.4898 & 0.31304 \tabularnewline
22 & -0.068449 & -0.5258 & 0.30051 \tabularnewline
23 & -0.085058 & -0.6533 & 0.258036 \tabularnewline
24 & -0.23519 & -1.8065 & 0.037968 \tabularnewline
25 & 0.001491 & 0.0114 & 0.495452 \tabularnewline
26 & -0.03521 & -0.2705 & 0.393878 \tabularnewline
27 & -0.033398 & -0.2565 & 0.399215 \tabularnewline
28 & -0.059811 & -0.4594 & 0.323813 \tabularnewline
29 & 0.018627 & 0.1431 & 0.443359 \tabularnewline
30 & 0.053381 & 0.41 & 0.341635 \tabularnewline
31 & -0.084273 & -0.6473 & 0.25997 \tabularnewline
32 & -0.044296 & -0.3402 & 0.367441 \tabularnewline
33 & -0.087107 & -0.6691 & 0.253027 \tabularnewline
34 & -0.017802 & -0.1367 & 0.445851 \tabularnewline
35 & -0.064812 & -0.4978 & 0.310228 \tabularnewline
36 & 0.027718 & 0.2129 & 0.416068 \tabularnewline
37 & -0.01154 & -0.0886 & 0.464833 \tabularnewline
38 & -0.018684 & -0.1435 & 0.443186 \tabularnewline
39 & -0.014367 & -0.1104 & 0.456251 \tabularnewline
40 & -0.057421 & -0.4411 & 0.330391 \tabularnewline
41 & -0.010891 & -0.0837 & 0.466808 \tabularnewline
42 & -0.03874 & -0.2976 & 0.38354 \tabularnewline
43 & -0.080382 & -0.6174 & 0.269666 \tabularnewline
44 & -0.001265 & -0.0097 & 0.496139 \tabularnewline
45 & -0.017851 & -0.1371 & 0.445703 \tabularnewline
46 & -0.004377 & -0.0336 & 0.486647 \tabularnewline
47 & -0.079657 & -0.6119 & 0.271492 \tabularnewline
48 & -0.077358 & -0.5942 & 0.277326 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.144397[/C][C]1.1091[/C][C]0.135936[/C][/ROW]
[ROW][C]2[/C][C]-0.011045[/C][C]-0.0848[/C][C]0.466339[/C][/ROW]
[ROW][C]3[/C][C]-0.105155[/C][C]-0.8077[/C][C]0.211252[/C][/ROW]
[ROW][C]4[/C][C]-0.075547[/C][C]-0.5803[/C][C]0.281965[/C][/ROW]
[ROW][C]5[/C][C]0.018632[/C][C]0.1431[/C][C]0.443344[/C][/ROW]
[ROW][C]6[/C][C]-0.1469[/C][C]-1.1284[/C][C]0.131868[/C][/ROW]
[ROW][C]7[/C][C]-0.013254[/C][C]-0.1018[/C][C]0.459628[/C][/ROW]
[ROW][C]8[/C][C]-0.153849[/C][C]-1.1817[/C][C]0.121025[/C][/ROW]
[ROW][C]9[/C][C]-0.154233[/C][C]-1.1847[/C][C]0.120446[/C][/ROW]
[ROW][C]10[/C][C]-0.004507[/C][C]-0.0346[/C][C]0.486251[/C][/ROW]
[ROW][C]11[/C][C]0.068651[/C][C]0.5273[/C][C]0.299974[/C][/ROW]
[ROW][C]12[/C][C]0.007249[/C][C]0.0557[/C][C]0.477892[/C][/ROW]
[ROW][C]13[/C][C]0.067677[/C][C]0.5198[/C][C]0.302562[/C][/ROW]
[ROW][C]14[/C][C]-0.112139[/C][C]-0.8614[/C][C]0.196264[/C][/ROW]
[ROW][C]15[/C][C]-0.068183[/C][C]-0.5237[/C][C]0.301217[/C][/ROW]
[ROW][C]16[/C][C]-0.076718[/C][C]-0.5893[/C][C]0.27896[/C][/ROW]
[ROW][C]17[/C][C]-0.012821[/C][C]-0.0985[/C][C]0.460942[/C][/ROW]
[ROW][C]18[/C][C]0.080217[/C][C]0.6162[/C][C]0.27008[/C][/ROW]
[ROW][C]19[/C][C]-0.066848[/C][C]-0.5135[/C][C]0.304771[/C][/ROW]
[ROW][C]20[/C][C]-0.055985[/C][C]-0.43[/C][C]0.334369[/C][/ROW]
[ROW][C]21[/C][C]-0.063769[/C][C]-0.4898[/C][C]0.31304[/C][/ROW]
[ROW][C]22[/C][C]-0.068449[/C][C]-0.5258[/C][C]0.30051[/C][/ROW]
[ROW][C]23[/C][C]-0.085058[/C][C]-0.6533[/C][C]0.258036[/C][/ROW]
[ROW][C]24[/C][C]-0.23519[/C][C]-1.8065[/C][C]0.037968[/C][/ROW]
[ROW][C]25[/C][C]0.001491[/C][C]0.0114[/C][C]0.495452[/C][/ROW]
[ROW][C]26[/C][C]-0.03521[/C][C]-0.2705[/C][C]0.393878[/C][/ROW]
[ROW][C]27[/C][C]-0.033398[/C][C]-0.2565[/C][C]0.399215[/C][/ROW]
[ROW][C]28[/C][C]-0.059811[/C][C]-0.4594[/C][C]0.323813[/C][/ROW]
[ROW][C]29[/C][C]0.018627[/C][C]0.1431[/C][C]0.443359[/C][/ROW]
[ROW][C]30[/C][C]0.053381[/C][C]0.41[/C][C]0.341635[/C][/ROW]
[ROW][C]31[/C][C]-0.084273[/C][C]-0.6473[/C][C]0.25997[/C][/ROW]
[ROW][C]32[/C][C]-0.044296[/C][C]-0.3402[/C][C]0.367441[/C][/ROW]
[ROW][C]33[/C][C]-0.087107[/C][C]-0.6691[/C][C]0.253027[/C][/ROW]
[ROW][C]34[/C][C]-0.017802[/C][C]-0.1367[/C][C]0.445851[/C][/ROW]
[ROW][C]35[/C][C]-0.064812[/C][C]-0.4978[/C][C]0.310228[/C][/ROW]
[ROW][C]36[/C][C]0.027718[/C][C]0.2129[/C][C]0.416068[/C][/ROW]
[ROW][C]37[/C][C]-0.01154[/C][C]-0.0886[/C][C]0.464833[/C][/ROW]
[ROW][C]38[/C][C]-0.018684[/C][C]-0.1435[/C][C]0.443186[/C][/ROW]
[ROW][C]39[/C][C]-0.014367[/C][C]-0.1104[/C][C]0.456251[/C][/ROW]
[ROW][C]40[/C][C]-0.057421[/C][C]-0.4411[/C][C]0.330391[/C][/ROW]
[ROW][C]41[/C][C]-0.010891[/C][C]-0.0837[/C][C]0.466808[/C][/ROW]
[ROW][C]42[/C][C]-0.03874[/C][C]-0.2976[/C][C]0.38354[/C][/ROW]
[ROW][C]43[/C][C]-0.080382[/C][C]-0.6174[/C][C]0.269666[/C][/ROW]
[ROW][C]44[/C][C]-0.001265[/C][C]-0.0097[/C][C]0.496139[/C][/ROW]
[ROW][C]45[/C][C]-0.017851[/C][C]-0.1371[/C][C]0.445703[/C][/ROW]
[ROW][C]46[/C][C]-0.004377[/C][C]-0.0336[/C][C]0.486647[/C][/ROW]
[ROW][C]47[/C][C]-0.079657[/C][C]-0.6119[/C][C]0.271492[/C][/ROW]
[ROW][C]48[/C][C]-0.077358[/C][C]-0.5942[/C][C]0.277326[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
10.1443971.10910.135936
2-0.011045-0.08480.466339
3-0.105155-0.80770.211252
4-0.075547-0.58030.281965
50.0186320.14310.443344
6-0.1469-1.12840.131868
7-0.013254-0.10180.459628
8-0.153849-1.18170.121025
9-0.154233-1.18470.120446
10-0.004507-0.03460.486251
110.0686510.52730.299974
120.0072490.05570.477892
130.0676770.51980.302562
14-0.112139-0.86140.196264
15-0.068183-0.52370.301217
16-0.076718-0.58930.27896
17-0.012821-0.09850.460942
180.0802170.61620.27008
19-0.066848-0.51350.304771
20-0.055985-0.430.334369
21-0.063769-0.48980.31304
22-0.068449-0.52580.30051
23-0.085058-0.65330.258036
24-0.23519-1.80650.037968
250.0014910.01140.495452
26-0.03521-0.27050.393878
27-0.033398-0.25650.399215
28-0.059811-0.45940.323813
290.0186270.14310.443359
300.0533810.410.341635
31-0.084273-0.64730.25997
32-0.044296-0.34020.367441
33-0.087107-0.66910.253027
34-0.017802-0.13670.445851
35-0.064812-0.49780.310228
360.0277180.21290.416068
37-0.01154-0.08860.464833
38-0.018684-0.14350.443186
39-0.014367-0.11040.456251
40-0.057421-0.44110.330391
41-0.010891-0.08370.466808
42-0.03874-0.29760.38354
43-0.080382-0.61740.269666
44-0.001265-0.00970.496139
45-0.017851-0.13710.445703
46-0.004377-0.03360.486647
47-0.079657-0.61190.271492
48-0.077358-0.59420.277326


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')