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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 computationMon, 14 Mar 2016 14:39:14 +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/Mar/14/t1457966458wqn79m3oy65rs3k.htm/, Retrieved Sat, 18 May 2024 15:57:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294004, Retrieved Sat, 18 May 2024 15:57:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

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 Mo...] [2016-03-14 14:39:14] [268d33ec1c95cc32f8abd6e0112b4a36] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,72
98,67
98,82
99,39
99,33
99,22
99,05
98,83
98,84
98,89
98,8
99,4
98,89
98,85
98,69
98,48
98,39
98,35
98,26
98,06
98,14
98,17
98,41
98,64
99,25
99,61
100,28
100,31
100,55
100,45
100,78
100,68
101,69
98,09
99,13
99,18
96,22
96,11
96
95,96
97,95
98,43
98,32
97,45
96,42
95,36
95,1
95,54
94,07
93,48
92,86
90,98
91,45
91,16
90,71
90,31
89,78
91,02
90,77
90,69

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=294004&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=294004&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294004&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
10.9280247.18840
20.8627546.68290
30.7966456.17080
40.696725.39681e-06
50.6173934.78236e-06
60.5393464.17784.8e-05
70.4594253.55870.000368
80.3885053.00930.001912
90.3103262.40380.009666
100.255091.97590.026384
110.2048771.5870.058888
120.1656891.28340.102139
130.1337131.03570.15224
140.0975430.75560.226434
150.0684630.53030.298926
160.0337360.26130.397372
170.0126810.09820.46104
18-0.005452-0.04220.483227
19-0.033464-0.25920.39818
20-0.059835-0.46350.32235
21-0.108626-0.84140.201729
22-0.154535-1.1970.118003
23-0.195937-1.51770.067168
24-0.241352-1.86950.033217
25-0.247604-1.91790.029941
26-0.251722-1.94980.027937
27-0.267451-2.07170.021302
28-0.243538-1.88640.032039
29-0.227988-1.7660.041243
30-0.214799-1.66380.050681
31-0.203621-1.57720.059999
32-0.193311-1.49740.069769
33-0.189975-1.47150.073186
34-0.174868-1.35450.090324
35-0.168104-1.30210.098925
36-0.165557-1.28240.102318
37-0.163982-1.27020.104459
38-0.166785-1.29190.100671
39-0.173674-1.34530.091799
40-0.182434-1.41310.081392
41-0.19485-1.50930.068235
42-0.206919-1.60280.057117
43-0.216746-1.67890.049186
44-0.223721-1.73290.044123
45-0.228612-1.77080.040835
46-0.22612-1.75150.042484
47-0.222125-1.72060.045241
48-0.218215-1.69030.048081

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.928024 & 7.1884 & 0 \tabularnewline
2 & 0.862754 & 6.6829 & 0 \tabularnewline
3 & 0.796645 & 6.1708 & 0 \tabularnewline
4 & 0.69672 & 5.3968 & 1e-06 \tabularnewline
5 & 0.617393 & 4.7823 & 6e-06 \tabularnewline
6 & 0.539346 & 4.1778 & 4.8e-05 \tabularnewline
7 & 0.459425 & 3.5587 & 0.000368 \tabularnewline
8 & 0.388505 & 3.0093 & 0.001912 \tabularnewline
9 & 0.310326 & 2.4038 & 0.009666 \tabularnewline
10 & 0.25509 & 1.9759 & 0.026384 \tabularnewline
11 & 0.204877 & 1.587 & 0.058888 \tabularnewline
12 & 0.165689 & 1.2834 & 0.102139 \tabularnewline
13 & 0.133713 & 1.0357 & 0.15224 \tabularnewline
14 & 0.097543 & 0.7556 & 0.226434 \tabularnewline
15 & 0.068463 & 0.5303 & 0.298926 \tabularnewline
16 & 0.033736 & 0.2613 & 0.397372 \tabularnewline
17 & 0.012681 & 0.0982 & 0.46104 \tabularnewline
18 & -0.005452 & -0.0422 & 0.483227 \tabularnewline
19 & -0.033464 & -0.2592 & 0.39818 \tabularnewline
20 & -0.059835 & -0.4635 & 0.32235 \tabularnewline
21 & -0.108626 & -0.8414 & 0.201729 \tabularnewline
22 & -0.154535 & -1.197 & 0.118003 \tabularnewline
23 & -0.195937 & -1.5177 & 0.067168 \tabularnewline
24 & -0.241352 & -1.8695 & 0.033217 \tabularnewline
25 & -0.247604 & -1.9179 & 0.029941 \tabularnewline
26 & -0.251722 & -1.9498 & 0.027937 \tabularnewline
27 & -0.267451 & -2.0717 & 0.021302 \tabularnewline
28 & -0.243538 & -1.8864 & 0.032039 \tabularnewline
29 & -0.227988 & -1.766 & 0.041243 \tabularnewline
30 & -0.214799 & -1.6638 & 0.050681 \tabularnewline
31 & -0.203621 & -1.5772 & 0.059999 \tabularnewline
32 & -0.193311 & -1.4974 & 0.069769 \tabularnewline
33 & -0.189975 & -1.4715 & 0.073186 \tabularnewline
34 & -0.174868 & -1.3545 & 0.090324 \tabularnewline
35 & -0.168104 & -1.3021 & 0.098925 \tabularnewline
36 & -0.165557 & -1.2824 & 0.102318 \tabularnewline
37 & -0.163982 & -1.2702 & 0.104459 \tabularnewline
38 & -0.166785 & -1.2919 & 0.100671 \tabularnewline
39 & -0.173674 & -1.3453 & 0.091799 \tabularnewline
40 & -0.182434 & -1.4131 & 0.081392 \tabularnewline
41 & -0.19485 & -1.5093 & 0.068235 \tabularnewline
42 & -0.206919 & -1.6028 & 0.057117 \tabularnewline
43 & -0.216746 & -1.6789 & 0.049186 \tabularnewline
44 & -0.223721 & -1.7329 & 0.044123 \tabularnewline
45 & -0.228612 & -1.7708 & 0.040835 \tabularnewline
46 & -0.22612 & -1.7515 & 0.042484 \tabularnewline
47 & -0.222125 & -1.7206 & 0.045241 \tabularnewline
48 & -0.218215 & -1.6903 & 0.048081 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294004&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]0.928024[/C][C]7.1884[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.862754[/C][C]6.6829[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.796645[/C][C]6.1708[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.69672[/C][C]5.3968[/C][C]1e-06[/C][/ROW]
[ROW][C]5[/C][C]0.617393[/C][C]4.7823[/C][C]6e-06[/C][/ROW]
[ROW][C]6[/C][C]0.539346[/C][C]4.1778[/C][C]4.8e-05[/C][/ROW]
[ROW][C]7[/C][C]0.459425[/C][C]3.5587[/C][C]0.000368[/C][/ROW]
[ROW][C]8[/C][C]0.388505[/C][C]3.0093[/C][C]0.001912[/C][/ROW]
[ROW][C]9[/C][C]0.310326[/C][C]2.4038[/C][C]0.009666[/C][/ROW]
[ROW][C]10[/C][C]0.25509[/C][C]1.9759[/C][C]0.026384[/C][/ROW]
[ROW][C]11[/C][C]0.204877[/C][C]1.587[/C][C]0.058888[/C][/ROW]
[ROW][C]12[/C][C]0.165689[/C][C]1.2834[/C][C]0.102139[/C][/ROW]
[ROW][C]13[/C][C]0.133713[/C][C]1.0357[/C][C]0.15224[/C][/ROW]
[ROW][C]14[/C][C]0.097543[/C][C]0.7556[/C][C]0.226434[/C][/ROW]
[ROW][C]15[/C][C]0.068463[/C][C]0.5303[/C][C]0.298926[/C][/ROW]
[ROW][C]16[/C][C]0.033736[/C][C]0.2613[/C][C]0.397372[/C][/ROW]
[ROW][C]17[/C][C]0.012681[/C][C]0.0982[/C][C]0.46104[/C][/ROW]
[ROW][C]18[/C][C]-0.005452[/C][C]-0.0422[/C][C]0.483227[/C][/ROW]
[ROW][C]19[/C][C]-0.033464[/C][C]-0.2592[/C][C]0.39818[/C][/ROW]
[ROW][C]20[/C][C]-0.059835[/C][C]-0.4635[/C][C]0.32235[/C][/ROW]
[ROW][C]21[/C][C]-0.108626[/C][C]-0.8414[/C][C]0.201729[/C][/ROW]
[ROW][C]22[/C][C]-0.154535[/C][C]-1.197[/C][C]0.118003[/C][/ROW]
[ROW][C]23[/C][C]-0.195937[/C][C]-1.5177[/C][C]0.067168[/C][/ROW]
[ROW][C]24[/C][C]-0.241352[/C][C]-1.8695[/C][C]0.033217[/C][/ROW]
[ROW][C]25[/C][C]-0.247604[/C][C]-1.9179[/C][C]0.029941[/C][/ROW]
[ROW][C]26[/C][C]-0.251722[/C][C]-1.9498[/C][C]0.027937[/C][/ROW]
[ROW][C]27[/C][C]-0.267451[/C][C]-2.0717[/C][C]0.021302[/C][/ROW]
[ROW][C]28[/C][C]-0.243538[/C][C]-1.8864[/C][C]0.032039[/C][/ROW]
[ROW][C]29[/C][C]-0.227988[/C][C]-1.766[/C][C]0.041243[/C][/ROW]
[ROW][C]30[/C][C]-0.214799[/C][C]-1.6638[/C][C]0.050681[/C][/ROW]
[ROW][C]31[/C][C]-0.203621[/C][C]-1.5772[/C][C]0.059999[/C][/ROW]
[ROW][C]32[/C][C]-0.193311[/C][C]-1.4974[/C][C]0.069769[/C][/ROW]
[ROW][C]33[/C][C]-0.189975[/C][C]-1.4715[/C][C]0.073186[/C][/ROW]
[ROW][C]34[/C][C]-0.174868[/C][C]-1.3545[/C][C]0.090324[/C][/ROW]
[ROW][C]35[/C][C]-0.168104[/C][C]-1.3021[/C][C]0.098925[/C][/ROW]
[ROW][C]36[/C][C]-0.165557[/C][C]-1.2824[/C][C]0.102318[/C][/ROW]
[ROW][C]37[/C][C]-0.163982[/C][C]-1.2702[/C][C]0.104459[/C][/ROW]
[ROW][C]38[/C][C]-0.166785[/C][C]-1.2919[/C][C]0.100671[/C][/ROW]
[ROW][C]39[/C][C]-0.173674[/C][C]-1.3453[/C][C]0.091799[/C][/ROW]
[ROW][C]40[/C][C]-0.182434[/C][C]-1.4131[/C][C]0.081392[/C][/ROW]
[ROW][C]41[/C][C]-0.19485[/C][C]-1.5093[/C][C]0.068235[/C][/ROW]
[ROW][C]42[/C][C]-0.206919[/C][C]-1.6028[/C][C]0.057117[/C][/ROW]
[ROW][C]43[/C][C]-0.216746[/C][C]-1.6789[/C][C]0.049186[/C][/ROW]
[ROW][C]44[/C][C]-0.223721[/C][C]-1.7329[/C][C]0.044123[/C][/ROW]
[ROW][C]45[/C][C]-0.228612[/C][C]-1.7708[/C][C]0.040835[/C][/ROW]
[ROW][C]46[/C][C]-0.22612[/C][C]-1.7515[/C][C]0.042484[/C][/ROW]
[ROW][C]47[/C][C]-0.222125[/C][C]-1.7206[/C][C]0.045241[/C][/ROW]
[ROW][C]48[/C][C]-0.218215[/C][C]-1.6903[/C][C]0.048081[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294004&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294004&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
10.9280247.18840
20.8627546.68290
30.7966456.17080
40.696725.39681e-06
50.6173934.78236e-06
60.5393464.17784.8e-05
70.4594253.55870.000368
80.3885053.00930.001912
90.3103262.40380.009666
100.255091.97590.026384
110.2048771.5870.058888
120.1656891.28340.102139
130.1337131.03570.15224
140.0975430.75560.226434
150.0684630.53030.298926
160.0337360.26130.397372
170.0126810.09820.46104
18-0.005452-0.04220.483227
19-0.033464-0.25920.39818
20-0.059835-0.46350.32235
21-0.108626-0.84140.201729
22-0.154535-1.1970.118003
23-0.195937-1.51770.067168
24-0.241352-1.86950.033217
25-0.247604-1.91790.029941
26-0.251722-1.94980.027937
27-0.267451-2.07170.021302
28-0.243538-1.88640.032039
29-0.227988-1.7660.041243
30-0.214799-1.66380.050681
31-0.203621-1.57720.059999
32-0.193311-1.49740.069769
33-0.189975-1.47150.073186
34-0.174868-1.35450.090324
35-0.168104-1.30210.098925
36-0.165557-1.28240.102318
37-0.163982-1.27020.104459
38-0.166785-1.29190.100671
39-0.173674-1.34530.091799
40-0.182434-1.41310.081392
41-0.19485-1.50930.068235
42-0.206919-1.60280.057117
43-0.216746-1.67890.049186
44-0.223721-1.73290.044123
45-0.228612-1.77080.040835
46-0.22612-1.75150.042484
47-0.222125-1.72060.045241
48-0.218215-1.69030.048081






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9280247.18840
20.0109960.08520.466202
3-0.039007-0.30210.381792
4-0.281304-2.1790.016636
50.0733850.56840.285929
6-0.025775-0.19970.421214
7-0.007766-0.06020.476115
8-0.050215-0.3890.349341
9-0.096543-0.74780.228745
100.117220.9080.18376
11-0.00811-0.06280.475058
120.0742340.5750.283717
13-0.073912-0.57250.284553
14-0.046558-0.36060.359818
15-0.013571-0.10510.458314
16-0.062864-0.48690.314036
170.1001530.77580.220463
18-0.052155-0.4040.343828
19-0.05721-0.44310.329626
20-0.098354-0.76190.224567
21-0.173459-1.34360.092068
220.0168370.13040.448336
23-0.030667-0.23750.406522
240.0108610.08410.466617
250.1808531.40090.0832
260.0185010.14330.443263
27-0.111008-0.85990.196642
280.1600761.23990.109911
29-0.00645-0.050.480161
30-0.045175-0.34990.36381
31-0.193891-1.50190.069187
320.007970.06170.475491
33-0.072453-0.56120.288369
340.2132441.65180.051902
35-0.087169-0.67520.251069
36-0.052983-0.41040.341486
37-0.073924-0.57260.284524
38-0.026246-0.20330.419793
390.0480160.37190.355626
40-0.079762-0.61780.269511
410.0180940.14020.444505
42-0.085101-0.65920.256148
430.0075280.05830.476846
440.0178270.13810.445317
45-0.064262-0.49780.310233
460.0182680.14150.443974
47-0.094726-0.73370.232981
48-0.050972-0.39480.347184

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.928024 & 7.1884 & 0 \tabularnewline
2 & 0.010996 & 0.0852 & 0.466202 \tabularnewline
3 & -0.039007 & -0.3021 & 0.381792 \tabularnewline
4 & -0.281304 & -2.179 & 0.016636 \tabularnewline
5 & 0.073385 & 0.5684 & 0.285929 \tabularnewline
6 & -0.025775 & -0.1997 & 0.421214 \tabularnewline
7 & -0.007766 & -0.0602 & 0.476115 \tabularnewline
8 & -0.050215 & -0.389 & 0.349341 \tabularnewline
9 & -0.096543 & -0.7478 & 0.228745 \tabularnewline
10 & 0.11722 & 0.908 & 0.18376 \tabularnewline
11 & -0.00811 & -0.0628 & 0.475058 \tabularnewline
12 & 0.074234 & 0.575 & 0.283717 \tabularnewline
13 & -0.073912 & -0.5725 & 0.284553 \tabularnewline
14 & -0.046558 & -0.3606 & 0.359818 \tabularnewline
15 & -0.013571 & -0.1051 & 0.458314 \tabularnewline
16 & -0.062864 & -0.4869 & 0.314036 \tabularnewline
17 & 0.100153 & 0.7758 & 0.220463 \tabularnewline
18 & -0.052155 & -0.404 & 0.343828 \tabularnewline
19 & -0.05721 & -0.4431 & 0.329626 \tabularnewline
20 & -0.098354 & -0.7619 & 0.224567 \tabularnewline
21 & -0.173459 & -1.3436 & 0.092068 \tabularnewline
22 & 0.016837 & 0.1304 & 0.448336 \tabularnewline
23 & -0.030667 & -0.2375 & 0.406522 \tabularnewline
24 & 0.010861 & 0.0841 & 0.466617 \tabularnewline
25 & 0.180853 & 1.4009 & 0.0832 \tabularnewline
26 & 0.018501 & 0.1433 & 0.443263 \tabularnewline
27 & -0.111008 & -0.8599 & 0.196642 \tabularnewline
28 & 0.160076 & 1.2399 & 0.109911 \tabularnewline
29 & -0.00645 & -0.05 & 0.480161 \tabularnewline
30 & -0.045175 & -0.3499 & 0.36381 \tabularnewline
31 & -0.193891 & -1.5019 & 0.069187 \tabularnewline
32 & 0.00797 & 0.0617 & 0.475491 \tabularnewline
33 & -0.072453 & -0.5612 & 0.288369 \tabularnewline
34 & 0.213244 & 1.6518 & 0.051902 \tabularnewline
35 & -0.087169 & -0.6752 & 0.251069 \tabularnewline
36 & -0.052983 & -0.4104 & 0.341486 \tabularnewline
37 & -0.073924 & -0.5726 & 0.284524 \tabularnewline
38 & -0.026246 & -0.2033 & 0.419793 \tabularnewline
39 & 0.048016 & 0.3719 & 0.355626 \tabularnewline
40 & -0.079762 & -0.6178 & 0.269511 \tabularnewline
41 & 0.018094 & 0.1402 & 0.444505 \tabularnewline
42 & -0.085101 & -0.6592 & 0.256148 \tabularnewline
43 & 0.007528 & 0.0583 & 0.476846 \tabularnewline
44 & 0.017827 & 0.1381 & 0.445317 \tabularnewline
45 & -0.064262 & -0.4978 & 0.310233 \tabularnewline
46 & 0.018268 & 0.1415 & 0.443974 \tabularnewline
47 & -0.094726 & -0.7337 & 0.232981 \tabularnewline
48 & -0.050972 & -0.3948 & 0.347184 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294004&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]0.928024[/C][C]7.1884[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.010996[/C][C]0.0852[/C][C]0.466202[/C][/ROW]
[ROW][C]3[/C][C]-0.039007[/C][C]-0.3021[/C][C]0.381792[/C][/ROW]
[ROW][C]4[/C][C]-0.281304[/C][C]-2.179[/C][C]0.016636[/C][/ROW]
[ROW][C]5[/C][C]0.073385[/C][C]0.5684[/C][C]0.285929[/C][/ROW]
[ROW][C]6[/C][C]-0.025775[/C][C]-0.1997[/C][C]0.421214[/C][/ROW]
[ROW][C]7[/C][C]-0.007766[/C][C]-0.0602[/C][C]0.476115[/C][/ROW]
[ROW][C]8[/C][C]-0.050215[/C][C]-0.389[/C][C]0.349341[/C][/ROW]
[ROW][C]9[/C][C]-0.096543[/C][C]-0.7478[/C][C]0.228745[/C][/ROW]
[ROW][C]10[/C][C]0.11722[/C][C]0.908[/C][C]0.18376[/C][/ROW]
[ROW][C]11[/C][C]-0.00811[/C][C]-0.0628[/C][C]0.475058[/C][/ROW]
[ROW][C]12[/C][C]0.074234[/C][C]0.575[/C][C]0.283717[/C][/ROW]
[ROW][C]13[/C][C]-0.073912[/C][C]-0.5725[/C][C]0.284553[/C][/ROW]
[ROW][C]14[/C][C]-0.046558[/C][C]-0.3606[/C][C]0.359818[/C][/ROW]
[ROW][C]15[/C][C]-0.013571[/C][C]-0.1051[/C][C]0.458314[/C][/ROW]
[ROW][C]16[/C][C]-0.062864[/C][C]-0.4869[/C][C]0.314036[/C][/ROW]
[ROW][C]17[/C][C]0.100153[/C][C]0.7758[/C][C]0.220463[/C][/ROW]
[ROW][C]18[/C][C]-0.052155[/C][C]-0.404[/C][C]0.343828[/C][/ROW]
[ROW][C]19[/C][C]-0.05721[/C][C]-0.4431[/C][C]0.329626[/C][/ROW]
[ROW][C]20[/C][C]-0.098354[/C][C]-0.7619[/C][C]0.224567[/C][/ROW]
[ROW][C]21[/C][C]-0.173459[/C][C]-1.3436[/C][C]0.092068[/C][/ROW]
[ROW][C]22[/C][C]0.016837[/C][C]0.1304[/C][C]0.448336[/C][/ROW]
[ROW][C]23[/C][C]-0.030667[/C][C]-0.2375[/C][C]0.406522[/C][/ROW]
[ROW][C]24[/C][C]0.010861[/C][C]0.0841[/C][C]0.466617[/C][/ROW]
[ROW][C]25[/C][C]0.180853[/C][C]1.4009[/C][C]0.0832[/C][/ROW]
[ROW][C]26[/C][C]0.018501[/C][C]0.1433[/C][C]0.443263[/C][/ROW]
[ROW][C]27[/C][C]-0.111008[/C][C]-0.8599[/C][C]0.196642[/C][/ROW]
[ROW][C]28[/C][C]0.160076[/C][C]1.2399[/C][C]0.109911[/C][/ROW]
[ROW][C]29[/C][C]-0.00645[/C][C]-0.05[/C][C]0.480161[/C][/ROW]
[ROW][C]30[/C][C]-0.045175[/C][C]-0.3499[/C][C]0.36381[/C][/ROW]
[ROW][C]31[/C][C]-0.193891[/C][C]-1.5019[/C][C]0.069187[/C][/ROW]
[ROW][C]32[/C][C]0.00797[/C][C]0.0617[/C][C]0.475491[/C][/ROW]
[ROW][C]33[/C][C]-0.072453[/C][C]-0.5612[/C][C]0.288369[/C][/ROW]
[ROW][C]34[/C][C]0.213244[/C][C]1.6518[/C][C]0.051902[/C][/ROW]
[ROW][C]35[/C][C]-0.087169[/C][C]-0.6752[/C][C]0.251069[/C][/ROW]
[ROW][C]36[/C][C]-0.052983[/C][C]-0.4104[/C][C]0.341486[/C][/ROW]
[ROW][C]37[/C][C]-0.073924[/C][C]-0.5726[/C][C]0.284524[/C][/ROW]
[ROW][C]38[/C][C]-0.026246[/C][C]-0.2033[/C][C]0.419793[/C][/ROW]
[ROW][C]39[/C][C]0.048016[/C][C]0.3719[/C][C]0.355626[/C][/ROW]
[ROW][C]40[/C][C]-0.079762[/C][C]-0.6178[/C][C]0.269511[/C][/ROW]
[ROW][C]41[/C][C]0.018094[/C][C]0.1402[/C][C]0.444505[/C][/ROW]
[ROW][C]42[/C][C]-0.085101[/C][C]-0.6592[/C][C]0.256148[/C][/ROW]
[ROW][C]43[/C][C]0.007528[/C][C]0.0583[/C][C]0.476846[/C][/ROW]
[ROW][C]44[/C][C]0.017827[/C][C]0.1381[/C][C]0.445317[/C][/ROW]
[ROW][C]45[/C][C]-0.064262[/C][C]-0.4978[/C][C]0.310233[/C][/ROW]
[ROW][C]46[/C][C]0.018268[/C][C]0.1415[/C][C]0.443974[/C][/ROW]
[ROW][C]47[/C][C]-0.094726[/C][C]-0.7337[/C][C]0.232981[/C][/ROW]
[ROW][C]48[/C][C]-0.050972[/C][C]-0.3948[/C][C]0.347184[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294004&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294004&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
10.9280247.18840
20.0109960.08520.466202
3-0.039007-0.30210.381792
4-0.281304-2.1790.016636
50.0733850.56840.285929
6-0.025775-0.19970.421214
7-0.007766-0.06020.476115
8-0.050215-0.3890.349341
9-0.096543-0.74780.228745
100.117220.9080.18376
11-0.00811-0.06280.475058
120.0742340.5750.283717
13-0.073912-0.57250.284553
14-0.046558-0.36060.359818
15-0.013571-0.10510.458314
16-0.062864-0.48690.314036
170.1001530.77580.220463
18-0.052155-0.4040.343828
19-0.05721-0.44310.329626
20-0.098354-0.76190.224567
21-0.173459-1.34360.092068
220.0168370.13040.448336
23-0.030667-0.23750.406522
240.0108610.08410.466617
250.1808531.40090.0832
260.0185010.14330.443263
27-0.111008-0.85990.196642
280.1600761.23990.109911
29-0.00645-0.050.480161
30-0.045175-0.34990.36381
31-0.193891-1.50190.069187
320.007970.06170.475491
33-0.072453-0.56120.288369
340.2132441.65180.051902
35-0.087169-0.67520.251069
36-0.052983-0.41040.341486
37-0.073924-0.57260.284524
38-0.026246-0.20330.419793
390.0480160.37190.355626
40-0.079762-0.61780.269511
410.0180940.14020.444505
42-0.085101-0.65920.256148
430.0075280.05830.476846
440.0178270.13810.445317
45-0.064262-0.49780.310233
460.0182680.14150.443974
47-0.094726-0.73370.232981
48-0.050972-0.39480.347184


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,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')