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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, 08 Jan 2017 16:41:46 +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/2017/Jan/08/t1483893729hc6moii2ctdhpez.htm/, Retrieved Tue, 14 May 2024 02:01:48 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 02:01:48 +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 
1.56
1.56
1.54
1.54
1.54
1.54
1.57
1.58
1.57
1.57
1.57
1.57
1.56
1.58
1.58
1.58
1.58
1.53
1.48
1.48
1.48
1.48
1.48
1.57
1.57
1.57
1.60
1.60
1.65
1.71
1.71
1.71
1.74
1.78
1.84
1.84
1.76
1.72
1.66
1.65
1.66
1.66
1.66
1.61
1.55
1.56
1.55
1.55
1.61
1.54
1.48
1.42
1.42
1.42
1.43
1.46
1.50
1.47
1.43
1.42
1.39
1.37
1.38
1.51
1.47
1.47
1.53
1.55
1.50
1.52
1.53
1.53
1.52
1.60
1.52
1.64
1.63
1.69
1.73
1.69
1.61
1.52
1.55
1.56
1.56
1.56
1.54
1.53
1.54
1.48
1.38
1.34
1.28
1.28
1.30
1.31
1.31
1.31
1.32
1.31
1.27
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.23
1.26
1.28
1.32
1.40
1.41
1.37
1.33
1.33
1.34
1.34
1.38
1.43
1.39
1.33
1.33
1.34
1.38
1.37
1.38
1.31
1.38
1.30
1.30
1.29
1.31
1.31
1.32
1.31
1.30
1.31
1.33
1.34
1.42
1.42
1.36
1.36
1.34
1.34
1.33
1.31
1.25
1.23
1.17
1.19
1.19
1.19
1.19

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1018111.26750.103431
20.0732380.91180.181642
3-0.085625-1.0660.144037
4-0.078782-0.98080.164103
5-0.1264-1.57370.058802
60.0938071.16790.122323
70.1120081.39450.082584
80.0503570.62690.265811
90.0137140.17070.432324
100.0189990.23650.406667
11-0.077268-0.9620.168778
12-0.017016-0.21180.416254
13-0.034759-0.43270.332902
14-0.051154-0.63690.262576
15-0.018399-0.22910.409562
16-0.081799-1.01840.15504
17-0.140795-1.75290.0408
18-0.123585-1.53860.062968
19-0.023512-0.29270.385064
20-0.080949-1.00780.157558
210.0843941.05070.147516
220.0396820.4940.310989
23-0.034951-0.43510.332036
24-0.114953-1.43120.0772
25-0.035338-0.440.330292
26-0.17509-2.17990.015389
27-0.092233-1.14830.12631
28-0.037626-0.46840.320065
290.0297460.37030.355818
300.0324810.40440.343242
31-0.031678-0.39440.346916
320.0391070.48690.313514
33-0.009567-0.11910.452673
340.034210.42590.335381
350.0262010.32620.372357
360.0269350.33530.368912
37-0.03105-0.38660.3498
38-0.043273-0.53870.295418
39-0.086215-1.07340.142386
400.0755890.94110.174066
410.1096121.36470.087169
420.1060271.320.094386
430.158191.96950.025342
440.0234510.2920.385354
45-0.06161-0.7670.222114
460.0068390.08510.46613
470.0923311.14950.126058
48-0.004675-0.05820.476828

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.101811 & 1.2675 & 0.103431 \tabularnewline
2 & 0.073238 & 0.9118 & 0.181642 \tabularnewline
3 & -0.085625 & -1.066 & 0.144037 \tabularnewline
4 & -0.078782 & -0.9808 & 0.164103 \tabularnewline
5 & -0.1264 & -1.5737 & 0.058802 \tabularnewline
6 & 0.093807 & 1.1679 & 0.122323 \tabularnewline
7 & 0.112008 & 1.3945 & 0.082584 \tabularnewline
8 & 0.050357 & 0.6269 & 0.265811 \tabularnewline
9 & 0.013714 & 0.1707 & 0.432324 \tabularnewline
10 & 0.018999 & 0.2365 & 0.406667 \tabularnewline
11 & -0.077268 & -0.962 & 0.168778 \tabularnewline
12 & -0.017016 & -0.2118 & 0.416254 \tabularnewline
13 & -0.034759 & -0.4327 & 0.332902 \tabularnewline
14 & -0.051154 & -0.6369 & 0.262576 \tabularnewline
15 & -0.018399 & -0.2291 & 0.409562 \tabularnewline
16 & -0.081799 & -1.0184 & 0.15504 \tabularnewline
17 & -0.140795 & -1.7529 & 0.0408 \tabularnewline
18 & -0.123585 & -1.5386 & 0.062968 \tabularnewline
19 & -0.023512 & -0.2927 & 0.385064 \tabularnewline
20 & -0.080949 & -1.0078 & 0.157558 \tabularnewline
21 & 0.084394 & 1.0507 & 0.147516 \tabularnewline
22 & 0.039682 & 0.494 & 0.310989 \tabularnewline
23 & -0.034951 & -0.4351 & 0.332036 \tabularnewline
24 & -0.114953 & -1.4312 & 0.0772 \tabularnewline
25 & -0.035338 & -0.44 & 0.330292 \tabularnewline
26 & -0.17509 & -2.1799 & 0.015389 \tabularnewline
27 & -0.092233 & -1.1483 & 0.12631 \tabularnewline
28 & -0.037626 & -0.4684 & 0.320065 \tabularnewline
29 & 0.029746 & 0.3703 & 0.355818 \tabularnewline
30 & 0.032481 & 0.4044 & 0.343242 \tabularnewline
31 & -0.031678 & -0.3944 & 0.346916 \tabularnewline
32 & 0.039107 & 0.4869 & 0.313514 \tabularnewline
33 & -0.009567 & -0.1191 & 0.452673 \tabularnewline
34 & 0.03421 & 0.4259 & 0.335381 \tabularnewline
35 & 0.026201 & 0.3262 & 0.372357 \tabularnewline
36 & 0.026935 & 0.3353 & 0.368912 \tabularnewline
37 & -0.03105 & -0.3866 & 0.3498 \tabularnewline
38 & -0.043273 & -0.5387 & 0.295418 \tabularnewline
39 & -0.086215 & -1.0734 & 0.142386 \tabularnewline
40 & 0.075589 & 0.9411 & 0.174066 \tabularnewline
41 & 0.109612 & 1.3647 & 0.087169 \tabularnewline
42 & 0.106027 & 1.32 & 0.094386 \tabularnewline
43 & 0.15819 & 1.9695 & 0.025342 \tabularnewline
44 & 0.023451 & 0.292 & 0.385354 \tabularnewline
45 & -0.06161 & -0.767 & 0.222114 \tabularnewline
46 & 0.006839 & 0.0851 & 0.46613 \tabularnewline
47 & 0.092331 & 1.1495 & 0.126058 \tabularnewline
48 & -0.004675 & -0.0582 & 0.476828 \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]0.101811[/C][C]1.2675[/C][C]0.103431[/C][/ROW]
[ROW][C]2[/C][C]0.073238[/C][C]0.9118[/C][C]0.181642[/C][/ROW]
[ROW][C]3[/C][C]-0.085625[/C][C]-1.066[/C][C]0.144037[/C][/ROW]
[ROW][C]4[/C][C]-0.078782[/C][C]-0.9808[/C][C]0.164103[/C][/ROW]
[ROW][C]5[/C][C]-0.1264[/C][C]-1.5737[/C][C]0.058802[/C][/ROW]
[ROW][C]6[/C][C]0.093807[/C][C]1.1679[/C][C]0.122323[/C][/ROW]
[ROW][C]7[/C][C]0.112008[/C][C]1.3945[/C][C]0.082584[/C][/ROW]
[ROW][C]8[/C][C]0.050357[/C][C]0.6269[/C][C]0.265811[/C][/ROW]
[ROW][C]9[/C][C]0.013714[/C][C]0.1707[/C][C]0.432324[/C][/ROW]
[ROW][C]10[/C][C]0.018999[/C][C]0.2365[/C][C]0.406667[/C][/ROW]
[ROW][C]11[/C][C]-0.077268[/C][C]-0.962[/C][C]0.168778[/C][/ROW]
[ROW][C]12[/C][C]-0.017016[/C][C]-0.2118[/C][C]0.416254[/C][/ROW]
[ROW][C]13[/C][C]-0.034759[/C][C]-0.4327[/C][C]0.332902[/C][/ROW]
[ROW][C]14[/C][C]-0.051154[/C][C]-0.6369[/C][C]0.262576[/C][/ROW]
[ROW][C]15[/C][C]-0.018399[/C][C]-0.2291[/C][C]0.409562[/C][/ROW]
[ROW][C]16[/C][C]-0.081799[/C][C]-1.0184[/C][C]0.15504[/C][/ROW]
[ROW][C]17[/C][C]-0.140795[/C][C]-1.7529[/C][C]0.0408[/C][/ROW]
[ROW][C]18[/C][C]-0.123585[/C][C]-1.5386[/C][C]0.062968[/C][/ROW]
[ROW][C]19[/C][C]-0.023512[/C][C]-0.2927[/C][C]0.385064[/C][/ROW]
[ROW][C]20[/C][C]-0.080949[/C][C]-1.0078[/C][C]0.157558[/C][/ROW]
[ROW][C]21[/C][C]0.084394[/C][C]1.0507[/C][C]0.147516[/C][/ROW]
[ROW][C]22[/C][C]0.039682[/C][C]0.494[/C][C]0.310989[/C][/ROW]
[ROW][C]23[/C][C]-0.034951[/C][C]-0.4351[/C][C]0.332036[/C][/ROW]
[ROW][C]24[/C][C]-0.114953[/C][C]-1.4312[/C][C]0.0772[/C][/ROW]
[ROW][C]25[/C][C]-0.035338[/C][C]-0.44[/C][C]0.330292[/C][/ROW]
[ROW][C]26[/C][C]-0.17509[/C][C]-2.1799[/C][C]0.015389[/C][/ROW]
[ROW][C]27[/C][C]-0.092233[/C][C]-1.1483[/C][C]0.12631[/C][/ROW]
[ROW][C]28[/C][C]-0.037626[/C][C]-0.4684[/C][C]0.320065[/C][/ROW]
[ROW][C]29[/C][C]0.029746[/C][C]0.3703[/C][C]0.355818[/C][/ROW]
[ROW][C]30[/C][C]0.032481[/C][C]0.4044[/C][C]0.343242[/C][/ROW]
[ROW][C]31[/C][C]-0.031678[/C][C]-0.3944[/C][C]0.346916[/C][/ROW]
[ROW][C]32[/C][C]0.039107[/C][C]0.4869[/C][C]0.313514[/C][/ROW]
[ROW][C]33[/C][C]-0.009567[/C][C]-0.1191[/C][C]0.452673[/C][/ROW]
[ROW][C]34[/C][C]0.03421[/C][C]0.4259[/C][C]0.335381[/C][/ROW]
[ROW][C]35[/C][C]0.026201[/C][C]0.3262[/C][C]0.372357[/C][/ROW]
[ROW][C]36[/C][C]0.026935[/C][C]0.3353[/C][C]0.368912[/C][/ROW]
[ROW][C]37[/C][C]-0.03105[/C][C]-0.3866[/C][C]0.3498[/C][/ROW]
[ROW][C]38[/C][C]-0.043273[/C][C]-0.5387[/C][C]0.295418[/C][/ROW]
[ROW][C]39[/C][C]-0.086215[/C][C]-1.0734[/C][C]0.142386[/C][/ROW]
[ROW][C]40[/C][C]0.075589[/C][C]0.9411[/C][C]0.174066[/C][/ROW]
[ROW][C]41[/C][C]0.109612[/C][C]1.3647[/C][C]0.087169[/C][/ROW]
[ROW][C]42[/C][C]0.106027[/C][C]1.32[/C][C]0.094386[/C][/ROW]
[ROW][C]43[/C][C]0.15819[/C][C]1.9695[/C][C]0.025342[/C][/ROW]
[ROW][C]44[/C][C]0.023451[/C][C]0.292[/C][C]0.385354[/C][/ROW]
[ROW][C]45[/C][C]-0.06161[/C][C]-0.767[/C][C]0.222114[/C][/ROW]
[ROW][C]46[/C][C]0.006839[/C][C]0.0851[/C][C]0.46613[/C][/ROW]
[ROW][C]47[/C][C]0.092331[/C][C]1.1495[/C][C]0.126058[/C][/ROW]
[ROW][C]48[/C][C]-0.004675[/C][C]-0.0582[/C][C]0.476828[/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
10.1018111.26750.103431
20.0732380.91180.181642
3-0.085625-1.0660.144037
4-0.078782-0.98080.164103
5-0.1264-1.57370.058802
60.0938071.16790.122323
70.1120081.39450.082584
80.0503570.62690.265811
90.0137140.17070.432324
100.0189990.23650.406667
11-0.077268-0.9620.168778
12-0.017016-0.21180.416254
13-0.034759-0.43270.332902
14-0.051154-0.63690.262576
15-0.018399-0.22910.409562
16-0.081799-1.01840.15504
17-0.140795-1.75290.0408
18-0.123585-1.53860.062968
19-0.023512-0.29270.385064
20-0.080949-1.00780.157558
210.0843941.05070.147516
220.0396820.4940.310989
23-0.034951-0.43510.332036
24-0.114953-1.43120.0772
25-0.035338-0.440.330292
26-0.17509-2.17990.015389
27-0.092233-1.14830.12631
28-0.037626-0.46840.320065
290.0297460.37030.355818
300.0324810.40440.343242
31-0.031678-0.39440.346916
320.0391070.48690.313514
33-0.009567-0.11910.452673
340.034210.42590.335381
350.0262010.32620.372357
360.0269350.33530.368912
37-0.03105-0.38660.3498
38-0.043273-0.53870.295418
39-0.086215-1.07340.142386
400.0755890.94110.174066
410.1096121.36470.087169
420.1060271.320.094386
430.158191.96950.025342
440.0234510.2920.385354
45-0.06161-0.7670.222114
460.0068390.08510.46613
470.0923311.14950.126058
48-0.004675-0.05820.476828






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1018111.26750.103431
20.0635310.7910.215088
3-0.100519-1.25150.106328
4-0.066817-0.83190.203382
5-0.101479-1.26340.104171
60.1222561.52210.065014
70.1017331.26660.103605
8-0.010397-0.12940.448589
9-0.008299-0.10330.458918
100.0325980.40580.342708
11-0.041975-0.52260.301003
120.0078790.09810.460991
13-0.040092-0.49910.309194
14-0.068597-0.8540.197204
15-0.008161-0.10160.459601
16-0.10055-1.25180.106256
17-0.140157-1.74490.041489
18-0.101798-1.26740.103462
19-0.006452-0.08030.468041
20-0.087641-1.09110.138456
210.0675720.84130.200749
220.010890.13560.446163
23-0.047788-0.5950.276371
24-0.068986-0.85890.195869
250.0021130.02630.489522
26-0.137103-1.70690.04492
27-0.098899-1.23130.110042
28-0.075419-0.9390.174607
29-0.03283-0.40870.34165
300.0004520.00560.497757
31-0.136441-1.69870.045693
320.0206760.25740.398598
33-0.002985-0.03720.485201
340.0095370.11870.452818
35-0.004433-0.05520.478028
36-0.021518-0.26790.394566
37-0.069118-0.86050.195419
38-0.06283-0.78220.217638
39-0.118493-1.47520.07109
400.0102210.12730.449451
410.0523020.65120.257954
42-0.029311-0.36490.357836
430.0792170.98620.162775
44-0.069103-0.86030.19547
45-0.057257-0.71280.238509
460.0394410.4910.312047
470.1101591.37150.086105
48-0.048408-0.60270.273802

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.101811 & 1.2675 & 0.103431 \tabularnewline
2 & 0.063531 & 0.791 & 0.215088 \tabularnewline
3 & -0.100519 & -1.2515 & 0.106328 \tabularnewline
4 & -0.066817 & -0.8319 & 0.203382 \tabularnewline
5 & -0.101479 & -1.2634 & 0.104171 \tabularnewline
6 & 0.122256 & 1.5221 & 0.065014 \tabularnewline
7 & 0.101733 & 1.2666 & 0.103605 \tabularnewline
8 & -0.010397 & -0.1294 & 0.448589 \tabularnewline
9 & -0.008299 & -0.1033 & 0.458918 \tabularnewline
10 & 0.032598 & 0.4058 & 0.342708 \tabularnewline
11 & -0.041975 & -0.5226 & 0.301003 \tabularnewline
12 & 0.007879 & 0.0981 & 0.460991 \tabularnewline
13 & -0.040092 & -0.4991 & 0.309194 \tabularnewline
14 & -0.068597 & -0.854 & 0.197204 \tabularnewline
15 & -0.008161 & -0.1016 & 0.459601 \tabularnewline
16 & -0.10055 & -1.2518 & 0.106256 \tabularnewline
17 & -0.140157 & -1.7449 & 0.041489 \tabularnewline
18 & -0.101798 & -1.2674 & 0.103462 \tabularnewline
19 & -0.006452 & -0.0803 & 0.468041 \tabularnewline
20 & -0.087641 & -1.0911 & 0.138456 \tabularnewline
21 & 0.067572 & 0.8413 & 0.200749 \tabularnewline
22 & 0.01089 & 0.1356 & 0.446163 \tabularnewline
23 & -0.047788 & -0.595 & 0.276371 \tabularnewline
24 & -0.068986 & -0.8589 & 0.195869 \tabularnewline
25 & 0.002113 & 0.0263 & 0.489522 \tabularnewline
26 & -0.137103 & -1.7069 & 0.04492 \tabularnewline
27 & -0.098899 & -1.2313 & 0.110042 \tabularnewline
28 & -0.075419 & -0.939 & 0.174607 \tabularnewline
29 & -0.03283 & -0.4087 & 0.34165 \tabularnewline
30 & 0.000452 & 0.0056 & 0.497757 \tabularnewline
31 & -0.136441 & -1.6987 & 0.045693 \tabularnewline
32 & 0.020676 & 0.2574 & 0.398598 \tabularnewline
33 & -0.002985 & -0.0372 & 0.485201 \tabularnewline
34 & 0.009537 & 0.1187 & 0.452818 \tabularnewline
35 & -0.004433 & -0.0552 & 0.478028 \tabularnewline
36 & -0.021518 & -0.2679 & 0.394566 \tabularnewline
37 & -0.069118 & -0.8605 & 0.195419 \tabularnewline
38 & -0.06283 & -0.7822 & 0.217638 \tabularnewline
39 & -0.118493 & -1.4752 & 0.07109 \tabularnewline
40 & 0.010221 & 0.1273 & 0.449451 \tabularnewline
41 & 0.052302 & 0.6512 & 0.257954 \tabularnewline
42 & -0.029311 & -0.3649 & 0.357836 \tabularnewline
43 & 0.079217 & 0.9862 & 0.162775 \tabularnewline
44 & -0.069103 & -0.8603 & 0.19547 \tabularnewline
45 & -0.057257 & -0.7128 & 0.238509 \tabularnewline
46 & 0.039441 & 0.491 & 0.312047 \tabularnewline
47 & 0.110159 & 1.3715 & 0.086105 \tabularnewline
48 & -0.048408 & -0.6027 & 0.273802 \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]0.101811[/C][C]1.2675[/C][C]0.103431[/C][/ROW]
[ROW][C]2[/C][C]0.063531[/C][C]0.791[/C][C]0.215088[/C][/ROW]
[ROW][C]3[/C][C]-0.100519[/C][C]-1.2515[/C][C]0.106328[/C][/ROW]
[ROW][C]4[/C][C]-0.066817[/C][C]-0.8319[/C][C]0.203382[/C][/ROW]
[ROW][C]5[/C][C]-0.101479[/C][C]-1.2634[/C][C]0.104171[/C][/ROW]
[ROW][C]6[/C][C]0.122256[/C][C]1.5221[/C][C]0.065014[/C][/ROW]
[ROW][C]7[/C][C]0.101733[/C][C]1.2666[/C][C]0.103605[/C][/ROW]
[ROW][C]8[/C][C]-0.010397[/C][C]-0.1294[/C][C]0.448589[/C][/ROW]
[ROW][C]9[/C][C]-0.008299[/C][C]-0.1033[/C][C]0.458918[/C][/ROW]
[ROW][C]10[/C][C]0.032598[/C][C]0.4058[/C][C]0.342708[/C][/ROW]
[ROW][C]11[/C][C]-0.041975[/C][C]-0.5226[/C][C]0.301003[/C][/ROW]
[ROW][C]12[/C][C]0.007879[/C][C]0.0981[/C][C]0.460991[/C][/ROW]
[ROW][C]13[/C][C]-0.040092[/C][C]-0.4991[/C][C]0.309194[/C][/ROW]
[ROW][C]14[/C][C]-0.068597[/C][C]-0.854[/C][C]0.197204[/C][/ROW]
[ROW][C]15[/C][C]-0.008161[/C][C]-0.1016[/C][C]0.459601[/C][/ROW]
[ROW][C]16[/C][C]-0.10055[/C][C]-1.2518[/C][C]0.106256[/C][/ROW]
[ROW][C]17[/C][C]-0.140157[/C][C]-1.7449[/C][C]0.041489[/C][/ROW]
[ROW][C]18[/C][C]-0.101798[/C][C]-1.2674[/C][C]0.103462[/C][/ROW]
[ROW][C]19[/C][C]-0.006452[/C][C]-0.0803[/C][C]0.468041[/C][/ROW]
[ROW][C]20[/C][C]-0.087641[/C][C]-1.0911[/C][C]0.138456[/C][/ROW]
[ROW][C]21[/C][C]0.067572[/C][C]0.8413[/C][C]0.200749[/C][/ROW]
[ROW][C]22[/C][C]0.01089[/C][C]0.1356[/C][C]0.446163[/C][/ROW]
[ROW][C]23[/C][C]-0.047788[/C][C]-0.595[/C][C]0.276371[/C][/ROW]
[ROW][C]24[/C][C]-0.068986[/C][C]-0.8589[/C][C]0.195869[/C][/ROW]
[ROW][C]25[/C][C]0.002113[/C][C]0.0263[/C][C]0.489522[/C][/ROW]
[ROW][C]26[/C][C]-0.137103[/C][C]-1.7069[/C][C]0.04492[/C][/ROW]
[ROW][C]27[/C][C]-0.098899[/C][C]-1.2313[/C][C]0.110042[/C][/ROW]
[ROW][C]28[/C][C]-0.075419[/C][C]-0.939[/C][C]0.174607[/C][/ROW]
[ROW][C]29[/C][C]-0.03283[/C][C]-0.4087[/C][C]0.34165[/C][/ROW]
[ROW][C]30[/C][C]0.000452[/C][C]0.0056[/C][C]0.497757[/C][/ROW]
[ROW][C]31[/C][C]-0.136441[/C][C]-1.6987[/C][C]0.045693[/C][/ROW]
[ROW][C]32[/C][C]0.020676[/C][C]0.2574[/C][C]0.398598[/C][/ROW]
[ROW][C]33[/C][C]-0.002985[/C][C]-0.0372[/C][C]0.485201[/C][/ROW]
[ROW][C]34[/C][C]0.009537[/C][C]0.1187[/C][C]0.452818[/C][/ROW]
[ROW][C]35[/C][C]-0.004433[/C][C]-0.0552[/C][C]0.478028[/C][/ROW]
[ROW][C]36[/C][C]-0.021518[/C][C]-0.2679[/C][C]0.394566[/C][/ROW]
[ROW][C]37[/C][C]-0.069118[/C][C]-0.8605[/C][C]0.195419[/C][/ROW]
[ROW][C]38[/C][C]-0.06283[/C][C]-0.7822[/C][C]0.217638[/C][/ROW]
[ROW][C]39[/C][C]-0.118493[/C][C]-1.4752[/C][C]0.07109[/C][/ROW]
[ROW][C]40[/C][C]0.010221[/C][C]0.1273[/C][C]0.449451[/C][/ROW]
[ROW][C]41[/C][C]0.052302[/C][C]0.6512[/C][C]0.257954[/C][/ROW]
[ROW][C]42[/C][C]-0.029311[/C][C]-0.3649[/C][C]0.357836[/C][/ROW]
[ROW][C]43[/C][C]0.079217[/C][C]0.9862[/C][C]0.162775[/C][/ROW]
[ROW][C]44[/C][C]-0.069103[/C][C]-0.8603[/C][C]0.19547[/C][/ROW]
[ROW][C]45[/C][C]-0.057257[/C][C]-0.7128[/C][C]0.238509[/C][/ROW]
[ROW][C]46[/C][C]0.039441[/C][C]0.491[/C][C]0.312047[/C][/ROW]
[ROW][C]47[/C][C]0.110159[/C][C]1.3715[/C][C]0.086105[/C][/ROW]
[ROW][C]48[/C][C]-0.048408[/C][C]-0.6027[/C][C]0.273802[/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
10.1018111.26750.103431
20.0635310.7910.215088
3-0.100519-1.25150.106328
4-0.066817-0.83190.203382
5-0.101479-1.26340.104171
60.1222561.52210.065014
70.1017331.26660.103605
8-0.010397-0.12940.448589
9-0.008299-0.10330.458918
100.0325980.40580.342708
11-0.041975-0.52260.301003
120.0078790.09810.460991
13-0.040092-0.49910.309194
14-0.068597-0.8540.197204
15-0.008161-0.10160.459601
16-0.10055-1.25180.106256
17-0.140157-1.74490.041489
18-0.101798-1.26740.103462
19-0.006452-0.08030.468041
20-0.087641-1.09110.138456
210.0675720.84130.200749
220.010890.13560.446163
23-0.047788-0.5950.276371
24-0.068986-0.85890.195869
250.0021130.02630.489522
26-0.137103-1.70690.04492
27-0.098899-1.23130.110042
28-0.075419-0.9390.174607
29-0.03283-0.40870.34165
300.0004520.00560.497757
31-0.136441-1.69870.045693
320.0206760.25740.398598
33-0.002985-0.03720.485201
340.0095370.11870.452818
35-0.004433-0.05520.478028
36-0.021518-0.26790.394566
37-0.069118-0.86050.195419
38-0.06283-0.78220.217638
39-0.118493-1.47520.07109
400.0102210.12730.449451
410.0523020.65120.257954
42-0.029311-0.36490.357836
430.0792170.98620.162775
44-0.069103-0.86030.19547
45-0.057257-0.71280.238509
460.0394410.4910.312047
470.1101591.37150.086105
48-0.048408-0.60270.273802


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')