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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 18 Dec 2016 15:23:36 +0100
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/18/t1482071060uehhw7xs07qh9am.htm/, Retrieved Fri, 01 Nov 2024 03:39:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301105, Retrieved Fri, 01 Nov 2024 03:39:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

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] [(partial) autocor...] [2016-12-18 14:23:36] [cedc5386ad7644fa02c81dc221bdf6b7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301105&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301105&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301105&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0089410.10390.458706
2-0.075068-0.87220.19232
3-0.050239-0.58370.280188
40.0726540.84420.200037
5-0.076002-0.88310.189387
6-0.00698-0.08110.467741
7-0.026709-0.31030.378393
80.0127290.14790.441322
9-0.041332-0.48020.315919
100.1359811.580.058229
11-0.139775-1.6240.05335
12-0.169365-1.96780.025568
13-0.070577-0.820.206821
140.1761292.04640.021327
150.1317471.53080.064085
16-0.065484-0.76090.224034
170.0135810.15780.437426
18-0.000852-0.00990.496057
190.0435160.50560.306975
200.1421221.65130.0505
21-0.025526-0.29660.383622
22-0.114648-1.33210.092537
230.0182890.21250.416021
24-0.016232-0.18860.425343
25-0.001813-0.02110.491614
26-0.055873-0.64920.258659
270.0425490.49440.310921
280.1075531.24970.106793
290.0481970.560.288205
300.0036320.04220.483201
31-0.094987-1.10360.135855
320.0235240.27330.392513
33-0.05099-0.59250.277269
340.0673380.78240.217677
350.1266811.47190.071688
360.0528970.61460.269922
370.0280550.3260.372476
38-0.016145-0.18760.425743
390.0037540.04360.482638
40-0.036063-0.4190.337935
41-0.05141-0.59730.275646
420.101251.17640.120749
43-0.031701-0.36830.356603
440.0128510.14930.440765
450.0422450.49080.312168
46-0.011998-0.13940.444667
47-0.145314-1.68840.046822
48-0.007081-0.08230.467274

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.008941 & 0.1039 & 0.458706 \tabularnewline
2 & -0.075068 & -0.8722 & 0.19232 \tabularnewline
3 & -0.050239 & -0.5837 & 0.280188 \tabularnewline
4 & 0.072654 & 0.8442 & 0.200037 \tabularnewline
5 & -0.076002 & -0.8831 & 0.189387 \tabularnewline
6 & -0.00698 & -0.0811 & 0.467741 \tabularnewline
7 & -0.026709 & -0.3103 & 0.378393 \tabularnewline
8 & 0.012729 & 0.1479 & 0.441322 \tabularnewline
9 & -0.041332 & -0.4802 & 0.315919 \tabularnewline
10 & 0.135981 & 1.58 & 0.058229 \tabularnewline
11 & -0.139775 & -1.624 & 0.05335 \tabularnewline
12 & -0.169365 & -1.9678 & 0.025568 \tabularnewline
13 & -0.070577 & -0.82 & 0.206821 \tabularnewline
14 & 0.176129 & 2.0464 & 0.021327 \tabularnewline
15 & 0.131747 & 1.5308 & 0.064085 \tabularnewline
16 & -0.065484 & -0.7609 & 0.224034 \tabularnewline
17 & 0.013581 & 0.1578 & 0.437426 \tabularnewline
18 & -0.000852 & -0.0099 & 0.496057 \tabularnewline
19 & 0.043516 & 0.5056 & 0.306975 \tabularnewline
20 & 0.142122 & 1.6513 & 0.0505 \tabularnewline
21 & -0.025526 & -0.2966 & 0.383622 \tabularnewline
22 & -0.114648 & -1.3321 & 0.092537 \tabularnewline
23 & 0.018289 & 0.2125 & 0.416021 \tabularnewline
24 & -0.016232 & -0.1886 & 0.425343 \tabularnewline
25 & -0.001813 & -0.0211 & 0.491614 \tabularnewline
26 & -0.055873 & -0.6492 & 0.258659 \tabularnewline
27 & 0.042549 & 0.4944 & 0.310921 \tabularnewline
28 & 0.107553 & 1.2497 & 0.106793 \tabularnewline
29 & 0.048197 & 0.56 & 0.288205 \tabularnewline
30 & 0.003632 & 0.0422 & 0.483201 \tabularnewline
31 & -0.094987 & -1.1036 & 0.135855 \tabularnewline
32 & 0.023524 & 0.2733 & 0.392513 \tabularnewline
33 & -0.05099 & -0.5925 & 0.277269 \tabularnewline
34 & 0.067338 & 0.7824 & 0.217677 \tabularnewline
35 & 0.126681 & 1.4719 & 0.071688 \tabularnewline
36 & 0.052897 & 0.6146 & 0.269922 \tabularnewline
37 & 0.028055 & 0.326 & 0.372476 \tabularnewline
38 & -0.016145 & -0.1876 & 0.425743 \tabularnewline
39 & 0.003754 & 0.0436 & 0.482638 \tabularnewline
40 & -0.036063 & -0.419 & 0.337935 \tabularnewline
41 & -0.05141 & -0.5973 & 0.275646 \tabularnewline
42 & 0.10125 & 1.1764 & 0.120749 \tabularnewline
43 & -0.031701 & -0.3683 & 0.356603 \tabularnewline
44 & 0.012851 & 0.1493 & 0.440765 \tabularnewline
45 & 0.042245 & 0.4908 & 0.312168 \tabularnewline
46 & -0.011998 & -0.1394 & 0.444667 \tabularnewline
47 & -0.145314 & -1.6884 & 0.046822 \tabularnewline
48 & -0.007081 & -0.0823 & 0.467274 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301105&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]0.008941[/C][C]0.1039[/C][C]0.458706[/C][/ROW]
[ROW][C]2[/C][C]-0.075068[/C][C]-0.8722[/C][C]0.19232[/C][/ROW]
[ROW][C]3[/C][C]-0.050239[/C][C]-0.5837[/C][C]0.280188[/C][/ROW]
[ROW][C]4[/C][C]0.072654[/C][C]0.8442[/C][C]0.200037[/C][/ROW]
[ROW][C]5[/C][C]-0.076002[/C][C]-0.8831[/C][C]0.189387[/C][/ROW]
[ROW][C]6[/C][C]-0.00698[/C][C]-0.0811[/C][C]0.467741[/C][/ROW]
[ROW][C]7[/C][C]-0.026709[/C][C]-0.3103[/C][C]0.378393[/C][/ROW]
[ROW][C]8[/C][C]0.012729[/C][C]0.1479[/C][C]0.441322[/C][/ROW]
[ROW][C]9[/C][C]-0.041332[/C][C]-0.4802[/C][C]0.315919[/C][/ROW]
[ROW][C]10[/C][C]0.135981[/C][C]1.58[/C][C]0.058229[/C][/ROW]
[ROW][C]11[/C][C]-0.139775[/C][C]-1.624[/C][C]0.05335[/C][/ROW]
[ROW][C]12[/C][C]-0.169365[/C][C]-1.9678[/C][C]0.025568[/C][/ROW]
[ROW][C]13[/C][C]-0.070577[/C][C]-0.82[/C][C]0.206821[/C][/ROW]
[ROW][C]14[/C][C]0.176129[/C][C]2.0464[/C][C]0.021327[/C][/ROW]
[ROW][C]15[/C][C]0.131747[/C][C]1.5308[/C][C]0.064085[/C][/ROW]
[ROW][C]16[/C][C]-0.065484[/C][C]-0.7609[/C][C]0.224034[/C][/ROW]
[ROW][C]17[/C][C]0.013581[/C][C]0.1578[/C][C]0.437426[/C][/ROW]
[ROW][C]18[/C][C]-0.000852[/C][C]-0.0099[/C][C]0.496057[/C][/ROW]
[ROW][C]19[/C][C]0.043516[/C][C]0.5056[/C][C]0.306975[/C][/ROW]
[ROW][C]20[/C][C]0.142122[/C][C]1.6513[/C][C]0.0505[/C][/ROW]
[ROW][C]21[/C][C]-0.025526[/C][C]-0.2966[/C][C]0.383622[/C][/ROW]
[ROW][C]22[/C][C]-0.114648[/C][C]-1.3321[/C][C]0.092537[/C][/ROW]
[ROW][C]23[/C][C]0.018289[/C][C]0.2125[/C][C]0.416021[/C][/ROW]
[ROW][C]24[/C][C]-0.016232[/C][C]-0.1886[/C][C]0.425343[/C][/ROW]
[ROW][C]25[/C][C]-0.001813[/C][C]-0.0211[/C][C]0.491614[/C][/ROW]
[ROW][C]26[/C][C]-0.055873[/C][C]-0.6492[/C][C]0.258659[/C][/ROW]
[ROW][C]27[/C][C]0.042549[/C][C]0.4944[/C][C]0.310921[/C][/ROW]
[ROW][C]28[/C][C]0.107553[/C][C]1.2497[/C][C]0.106793[/C][/ROW]
[ROW][C]29[/C][C]0.048197[/C][C]0.56[/C][C]0.288205[/C][/ROW]
[ROW][C]30[/C][C]0.003632[/C][C]0.0422[/C][C]0.483201[/C][/ROW]
[ROW][C]31[/C][C]-0.094987[/C][C]-1.1036[/C][C]0.135855[/C][/ROW]
[ROW][C]32[/C][C]0.023524[/C][C]0.2733[/C][C]0.392513[/C][/ROW]
[ROW][C]33[/C][C]-0.05099[/C][C]-0.5925[/C][C]0.277269[/C][/ROW]
[ROW][C]34[/C][C]0.067338[/C][C]0.7824[/C][C]0.217677[/C][/ROW]
[ROW][C]35[/C][C]0.126681[/C][C]1.4719[/C][C]0.071688[/C][/ROW]
[ROW][C]36[/C][C]0.052897[/C][C]0.6146[/C][C]0.269922[/C][/ROW]
[ROW][C]37[/C][C]0.028055[/C][C]0.326[/C][C]0.372476[/C][/ROW]
[ROW][C]38[/C][C]-0.016145[/C][C]-0.1876[/C][C]0.425743[/C][/ROW]
[ROW][C]39[/C][C]0.003754[/C][C]0.0436[/C][C]0.482638[/C][/ROW]
[ROW][C]40[/C][C]-0.036063[/C][C]-0.419[/C][C]0.337935[/C][/ROW]
[ROW][C]41[/C][C]-0.05141[/C][C]-0.5973[/C][C]0.275646[/C][/ROW]
[ROW][C]42[/C][C]0.10125[/C][C]1.1764[/C][C]0.120749[/C][/ROW]
[ROW][C]43[/C][C]-0.031701[/C][C]-0.3683[/C][C]0.356603[/C][/ROW]
[ROW][C]44[/C][C]0.012851[/C][C]0.1493[/C][C]0.440765[/C][/ROW]
[ROW][C]45[/C][C]0.042245[/C][C]0.4908[/C][C]0.312168[/C][/ROW]
[ROW][C]46[/C][C]-0.011998[/C][C]-0.1394[/C][C]0.444667[/C][/ROW]
[ROW][C]47[/C][C]-0.145314[/C][C]-1.6884[/C][C]0.046822[/C][/ROW]
[ROW][C]48[/C][C]-0.007081[/C][C]-0.0823[/C][C]0.467274[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301105&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301105&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
10.0089410.10390.458706
2-0.075068-0.87220.19232
3-0.050239-0.58370.280188
40.0726540.84420.200037
5-0.076002-0.88310.189387
6-0.00698-0.08110.467741
7-0.026709-0.31030.378393
80.0127290.14790.441322
9-0.041332-0.48020.315919
100.1359811.580.058229
11-0.139775-1.6240.05335
12-0.169365-1.96780.025568
13-0.070577-0.820.206821
140.1761292.04640.021327
150.1317471.53080.064085
16-0.065484-0.76090.224034
170.0135810.15780.437426
18-0.000852-0.00990.496057
190.0435160.50560.306975
200.1421221.65130.0505
21-0.025526-0.29660.383622
22-0.114648-1.33210.092537
230.0182890.21250.416021
24-0.016232-0.18860.425343
25-0.001813-0.02110.491614
26-0.055873-0.64920.258659
270.0425490.49440.310921
280.1075531.24970.106793
290.0481970.560.288205
300.0036320.04220.483201
31-0.094987-1.10360.135855
320.0235240.27330.392513
33-0.05099-0.59250.277269
340.0673380.78240.217677
350.1266811.47190.071688
360.0528970.61460.269922
370.0280550.3260.372476
38-0.016145-0.18760.425743
390.0037540.04360.482638
40-0.036063-0.4190.337935
41-0.05141-0.59730.275646
420.101251.17640.120749
43-0.031701-0.36830.356603
440.0128510.14930.440765
450.0422450.49080.312168
46-0.011998-0.13940.444667
47-0.145314-1.68840.046822
48-0.007081-0.08230.467274






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0089410.10390.458706
2-0.075154-0.87320.192049
3-0.049127-0.57080.28454
40.068340.7940.214284
5-0.085593-0.99450.16088
60.0027550.0320.487253
7-0.031812-0.36960.356121
8-0.000239-0.00280.498894
9-0.035384-0.41110.340815
100.1315671.52870.064343
11-0.151851-1.76430.039968
12-0.159625-1.85470.032912
13-0.070741-0.82190.206282
140.1263931.46860.072141
150.1570831.82510.035095
16-0.062251-0.72330.235377
170.0292010.33930.36746
18-0.05274-0.61280.270524
190.0620820.72130.235978
200.1702851.97850.024952
210.0024020.02790.488889
22-0.096923-1.12610.131052
23-0.019643-0.22820.409907
24-0.116891-1.35810.088341
250.0158240.18390.427202
260.0803110.93310.17621
270.0776130.90180.18439
280.1118091.29910.098062
29-0.029759-0.34580.365026
30-0.021755-0.25280.400416
31-0.04625-0.53740.295946
320.1230381.42960.077575
33-0.060317-0.70080.24231
340.0005720.00660.497354
350.0699130.81230.209021
360.0701230.81480.208325
370.0816790.9490.172153
38-0.017906-0.20810.417751
390.072940.84750.199112
40-0.040952-0.47580.317486
410.0084610.09830.460915
420.0744940.86550.194137
43-0.073426-0.85310.197549
440.0318230.36980.356072
450.0483150.56140.287739
46-0.024745-0.28750.38708
47-0.136056-1.58080.058129
480.0411550.47820.316646

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.008941 & 0.1039 & 0.458706 \tabularnewline
2 & -0.075154 & -0.8732 & 0.192049 \tabularnewline
3 & -0.049127 & -0.5708 & 0.28454 \tabularnewline
4 & 0.06834 & 0.794 & 0.214284 \tabularnewline
5 & -0.085593 & -0.9945 & 0.16088 \tabularnewline
6 & 0.002755 & 0.032 & 0.487253 \tabularnewline
7 & -0.031812 & -0.3696 & 0.356121 \tabularnewline
8 & -0.000239 & -0.0028 & 0.498894 \tabularnewline
9 & -0.035384 & -0.4111 & 0.340815 \tabularnewline
10 & 0.131567 & 1.5287 & 0.064343 \tabularnewline
11 & -0.151851 & -1.7643 & 0.039968 \tabularnewline
12 & -0.159625 & -1.8547 & 0.032912 \tabularnewline
13 & -0.070741 & -0.8219 & 0.206282 \tabularnewline
14 & 0.126393 & 1.4686 & 0.072141 \tabularnewline
15 & 0.157083 & 1.8251 & 0.035095 \tabularnewline
16 & -0.062251 & -0.7233 & 0.235377 \tabularnewline
17 & 0.029201 & 0.3393 & 0.36746 \tabularnewline
18 & -0.05274 & -0.6128 & 0.270524 \tabularnewline
19 & 0.062082 & 0.7213 & 0.235978 \tabularnewline
20 & 0.170285 & 1.9785 & 0.024952 \tabularnewline
21 & 0.002402 & 0.0279 & 0.488889 \tabularnewline
22 & -0.096923 & -1.1261 & 0.131052 \tabularnewline
23 & -0.019643 & -0.2282 & 0.409907 \tabularnewline
24 & -0.116891 & -1.3581 & 0.088341 \tabularnewline
25 & 0.015824 & 0.1839 & 0.427202 \tabularnewline
26 & 0.080311 & 0.9331 & 0.17621 \tabularnewline
27 & 0.077613 & 0.9018 & 0.18439 \tabularnewline
28 & 0.111809 & 1.2991 & 0.098062 \tabularnewline
29 & -0.029759 & -0.3458 & 0.365026 \tabularnewline
30 & -0.021755 & -0.2528 & 0.400416 \tabularnewline
31 & -0.04625 & -0.5374 & 0.295946 \tabularnewline
32 & 0.123038 & 1.4296 & 0.077575 \tabularnewline
33 & -0.060317 & -0.7008 & 0.24231 \tabularnewline
34 & 0.000572 & 0.0066 & 0.497354 \tabularnewline
35 & 0.069913 & 0.8123 & 0.209021 \tabularnewline
36 & 0.070123 & 0.8148 & 0.208325 \tabularnewline
37 & 0.081679 & 0.949 & 0.172153 \tabularnewline
38 & -0.017906 & -0.2081 & 0.417751 \tabularnewline
39 & 0.07294 & 0.8475 & 0.199112 \tabularnewline
40 & -0.040952 & -0.4758 & 0.317486 \tabularnewline
41 & 0.008461 & 0.0983 & 0.460915 \tabularnewline
42 & 0.074494 & 0.8655 & 0.194137 \tabularnewline
43 & -0.073426 & -0.8531 & 0.197549 \tabularnewline
44 & 0.031823 & 0.3698 & 0.356072 \tabularnewline
45 & 0.048315 & 0.5614 & 0.287739 \tabularnewline
46 & -0.024745 & -0.2875 & 0.38708 \tabularnewline
47 & -0.136056 & -1.5808 & 0.058129 \tabularnewline
48 & 0.041155 & 0.4782 & 0.316646 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301105&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]0.008941[/C][C]0.1039[/C][C]0.458706[/C][/ROW]
[ROW][C]2[/C][C]-0.075154[/C][C]-0.8732[/C][C]0.192049[/C][/ROW]
[ROW][C]3[/C][C]-0.049127[/C][C]-0.5708[/C][C]0.28454[/C][/ROW]
[ROW][C]4[/C][C]0.06834[/C][C]0.794[/C][C]0.214284[/C][/ROW]
[ROW][C]5[/C][C]-0.085593[/C][C]-0.9945[/C][C]0.16088[/C][/ROW]
[ROW][C]6[/C][C]0.002755[/C][C]0.032[/C][C]0.487253[/C][/ROW]
[ROW][C]7[/C][C]-0.031812[/C][C]-0.3696[/C][C]0.356121[/C][/ROW]
[ROW][C]8[/C][C]-0.000239[/C][C]-0.0028[/C][C]0.498894[/C][/ROW]
[ROW][C]9[/C][C]-0.035384[/C][C]-0.4111[/C][C]0.340815[/C][/ROW]
[ROW][C]10[/C][C]0.131567[/C][C]1.5287[/C][C]0.064343[/C][/ROW]
[ROW][C]11[/C][C]-0.151851[/C][C]-1.7643[/C][C]0.039968[/C][/ROW]
[ROW][C]12[/C][C]-0.159625[/C][C]-1.8547[/C][C]0.032912[/C][/ROW]
[ROW][C]13[/C][C]-0.070741[/C][C]-0.8219[/C][C]0.206282[/C][/ROW]
[ROW][C]14[/C][C]0.126393[/C][C]1.4686[/C][C]0.072141[/C][/ROW]
[ROW][C]15[/C][C]0.157083[/C][C]1.8251[/C][C]0.035095[/C][/ROW]
[ROW][C]16[/C][C]-0.062251[/C][C]-0.7233[/C][C]0.235377[/C][/ROW]
[ROW][C]17[/C][C]0.029201[/C][C]0.3393[/C][C]0.36746[/C][/ROW]
[ROW][C]18[/C][C]-0.05274[/C][C]-0.6128[/C][C]0.270524[/C][/ROW]
[ROW][C]19[/C][C]0.062082[/C][C]0.7213[/C][C]0.235978[/C][/ROW]
[ROW][C]20[/C][C]0.170285[/C][C]1.9785[/C][C]0.024952[/C][/ROW]
[ROW][C]21[/C][C]0.002402[/C][C]0.0279[/C][C]0.488889[/C][/ROW]
[ROW][C]22[/C][C]-0.096923[/C][C]-1.1261[/C][C]0.131052[/C][/ROW]
[ROW][C]23[/C][C]-0.019643[/C][C]-0.2282[/C][C]0.409907[/C][/ROW]
[ROW][C]24[/C][C]-0.116891[/C][C]-1.3581[/C][C]0.088341[/C][/ROW]
[ROW][C]25[/C][C]0.015824[/C][C]0.1839[/C][C]0.427202[/C][/ROW]
[ROW][C]26[/C][C]0.080311[/C][C]0.9331[/C][C]0.17621[/C][/ROW]
[ROW][C]27[/C][C]0.077613[/C][C]0.9018[/C][C]0.18439[/C][/ROW]
[ROW][C]28[/C][C]0.111809[/C][C]1.2991[/C][C]0.098062[/C][/ROW]
[ROW][C]29[/C][C]-0.029759[/C][C]-0.3458[/C][C]0.365026[/C][/ROW]
[ROW][C]30[/C][C]-0.021755[/C][C]-0.2528[/C][C]0.400416[/C][/ROW]
[ROW][C]31[/C][C]-0.04625[/C][C]-0.5374[/C][C]0.295946[/C][/ROW]
[ROW][C]32[/C][C]0.123038[/C][C]1.4296[/C][C]0.077575[/C][/ROW]
[ROW][C]33[/C][C]-0.060317[/C][C]-0.7008[/C][C]0.24231[/C][/ROW]
[ROW][C]34[/C][C]0.000572[/C][C]0.0066[/C][C]0.497354[/C][/ROW]
[ROW][C]35[/C][C]0.069913[/C][C]0.8123[/C][C]0.209021[/C][/ROW]
[ROW][C]36[/C][C]0.070123[/C][C]0.8148[/C][C]0.208325[/C][/ROW]
[ROW][C]37[/C][C]0.081679[/C][C]0.949[/C][C]0.172153[/C][/ROW]
[ROW][C]38[/C][C]-0.017906[/C][C]-0.2081[/C][C]0.417751[/C][/ROW]
[ROW][C]39[/C][C]0.07294[/C][C]0.8475[/C][C]0.199112[/C][/ROW]
[ROW][C]40[/C][C]-0.040952[/C][C]-0.4758[/C][C]0.317486[/C][/ROW]
[ROW][C]41[/C][C]0.008461[/C][C]0.0983[/C][C]0.460915[/C][/ROW]
[ROW][C]42[/C][C]0.074494[/C][C]0.8655[/C][C]0.194137[/C][/ROW]
[ROW][C]43[/C][C]-0.073426[/C][C]-0.8531[/C][C]0.197549[/C][/ROW]
[ROW][C]44[/C][C]0.031823[/C][C]0.3698[/C][C]0.356072[/C][/ROW]
[ROW][C]45[/C][C]0.048315[/C][C]0.5614[/C][C]0.287739[/C][/ROW]
[ROW][C]46[/C][C]-0.024745[/C][C]-0.2875[/C][C]0.38708[/C][/ROW]
[ROW][C]47[/C][C]-0.136056[/C][C]-1.5808[/C][C]0.058129[/C][/ROW]
[ROW][C]48[/C][C]0.041155[/C][C]0.4782[/C][C]0.316646[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301105&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301105&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
10.0089410.10390.458706
2-0.075154-0.87320.192049
3-0.049127-0.57080.28454
40.068340.7940.214284
5-0.085593-0.99450.16088
60.0027550.0320.487253
7-0.031812-0.36960.356121
8-0.000239-0.00280.498894
9-0.035384-0.41110.340815
100.1315671.52870.064343
11-0.151851-1.76430.039968
12-0.159625-1.85470.032912
13-0.070741-0.82190.206282
140.1263931.46860.072141
150.1570831.82510.035095
16-0.062251-0.72330.235377
170.0292010.33930.36746
18-0.05274-0.61280.270524
190.0620820.72130.235978
200.1702851.97850.024952
210.0024020.02790.488889
22-0.096923-1.12610.131052
23-0.019643-0.22820.409907
24-0.116891-1.35810.088341
250.0158240.18390.427202
260.0803110.93310.17621
270.0776130.90180.18439
280.1118091.29910.098062
29-0.029759-0.34580.365026
30-0.021755-0.25280.400416
31-0.04625-0.53740.295946
320.1230381.42960.077575
33-0.060317-0.70080.24231
340.0005720.00660.497354
350.0699130.81230.209021
360.0701230.81480.208325
370.0816790.9490.172153
38-0.017906-0.20810.417751
390.072940.84750.199112
40-0.040952-0.47580.317486
410.0084610.09830.460915
420.0744940.86550.194137
43-0.073426-0.85310.197549
440.0318230.36980.356072
450.0483150.56140.287739
46-0.024745-0.28750.38708
47-0.136056-1.58080.058129
480.0411550.47820.316646


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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,'ACF(k)',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,'PACF(k)',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')