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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 11:25:05 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/28/t1196273769xkb0601lknu3ik9.htm/, Retrieved Thu, 02 May 2024 10:16:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7197, Retrieved Thu, 02 May 2024 10:16:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [partial autocorre...] [2007-11-28 18:25:05] [ecfd493d8912453b8c9c073043a11928] [Current]
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Dataseries X:
103.52
103.5
103.52
103.53
103.53
103.53
103.52
103.54
103.59
103.59
103.59
103.59
103.63
103.74
103.7
103.72
103.81
103.8
104.22
106.91
107.06
107.17
107.25
107.28
107.24
107.23
107.34
107.34
107.3
107.24
107.3
107.32
107.28
107.33
107.33
107.33
107.28
107.28
107.29
107.29
107.23
107.24
107.24
107.2
107.23
107.2
107.21
107.24
107.21
113.89
114.05
114.05
114.05
114.05
115.12
115.68
116.05
116.18
116.35
116.44
117
117.61
118.17
118.33
118.33
118.42
118.5
118.67
119.09
119.14
119.23
119.33




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7197&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7197&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7197&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.42610
10.0137140.11560.454166
2-0.034906-0.29410.61524
3-0.044053-0.37120.644201
4-0.051106-0.43060.665976
50.0919360.77470.220553
60.0337710.28460.388406
70.0138540.11670.453701
8-0.030551-0.25740.601205
9-0.051242-0.43180.666392
10-0.053732-0.45280.673946
110.0186250.15690.437869
120.0229530.19340.423598
130.0064590.05440.478374
14-0.035211-0.29670.616216
15-0.064933-0.54710.707001
16-0.045062-0.37970.647348
17-0.059394-0.50050.690851
18-0.036533-0.30780.620443
190.0127340.10730.457429
20-0.05156-0.43450.667362
21-0.045866-0.38650.649849
22-0.038059-0.32070.625306
23-0.007617-0.06420.525497
24-0.025147-0.21190.583599
25-0.029336-0.24720.597263
26-0.023537-0.19830.578321
27-0.015389-0.12970.551402
28-0.008723-0.07350.529194
29-0.008496-0.07160.528433
300.320162.69770.004358
310.0336970.28390.388643
32-0.029673-0.250.598357
33-0.017528-0.14770.558498
34-0.024086-0.2030.580123
350.0212320.17890.429262
360.0193050.16270.435622
37-0.00543-0.04580.518181
38-0.023345-0.19670.57769
39-0.023955-0.20180.579693
40-0.028992-0.24430.596146
410.0023650.01990.492077
420.0034740.02930.488364
43-0.007149-0.06020.523931
44-0.02829-0.23840.593862
45-0.039908-0.33630.631171
46-0.035057-0.29540.615723
47-0.033968-0.28620.612227

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.4261 & 0 \tabularnewline
1 & 0.013714 & 0.1156 & 0.454166 \tabularnewline
2 & -0.034906 & -0.2941 & 0.61524 \tabularnewline
3 & -0.044053 & -0.3712 & 0.644201 \tabularnewline
4 & -0.051106 & -0.4306 & 0.665976 \tabularnewline
5 & 0.091936 & 0.7747 & 0.220553 \tabularnewline
6 & 0.033771 & 0.2846 & 0.388406 \tabularnewline
7 & 0.013854 & 0.1167 & 0.453701 \tabularnewline
8 & -0.030551 & -0.2574 & 0.601205 \tabularnewline
9 & -0.051242 & -0.4318 & 0.666392 \tabularnewline
10 & -0.053732 & -0.4528 & 0.673946 \tabularnewline
11 & 0.018625 & 0.1569 & 0.437869 \tabularnewline
12 & 0.022953 & 0.1934 & 0.423598 \tabularnewline
13 & 0.006459 & 0.0544 & 0.478374 \tabularnewline
14 & -0.035211 & -0.2967 & 0.616216 \tabularnewline
15 & -0.064933 & -0.5471 & 0.707001 \tabularnewline
16 & -0.045062 & -0.3797 & 0.647348 \tabularnewline
17 & -0.059394 & -0.5005 & 0.690851 \tabularnewline
18 & -0.036533 & -0.3078 & 0.620443 \tabularnewline
19 & 0.012734 & 0.1073 & 0.457429 \tabularnewline
20 & -0.05156 & -0.4345 & 0.667362 \tabularnewline
21 & -0.045866 & -0.3865 & 0.649849 \tabularnewline
22 & -0.038059 & -0.3207 & 0.625306 \tabularnewline
23 & -0.007617 & -0.0642 & 0.525497 \tabularnewline
24 & -0.025147 & -0.2119 & 0.583599 \tabularnewline
25 & -0.029336 & -0.2472 & 0.597263 \tabularnewline
26 & -0.023537 & -0.1983 & 0.578321 \tabularnewline
27 & -0.015389 & -0.1297 & 0.551402 \tabularnewline
28 & -0.008723 & -0.0735 & 0.529194 \tabularnewline
29 & -0.008496 & -0.0716 & 0.528433 \tabularnewline
30 & 0.32016 & 2.6977 & 0.004358 \tabularnewline
31 & 0.033697 & 0.2839 & 0.388643 \tabularnewline
32 & -0.029673 & -0.25 & 0.598357 \tabularnewline
33 & -0.017528 & -0.1477 & 0.558498 \tabularnewline
34 & -0.024086 & -0.203 & 0.580123 \tabularnewline
35 & 0.021232 & 0.1789 & 0.429262 \tabularnewline
36 & 0.019305 & 0.1627 & 0.435622 \tabularnewline
37 & -0.00543 & -0.0458 & 0.518181 \tabularnewline
38 & -0.023345 & -0.1967 & 0.57769 \tabularnewline
39 & -0.023955 & -0.2018 & 0.579693 \tabularnewline
40 & -0.028992 & -0.2443 & 0.596146 \tabularnewline
41 & 0.002365 & 0.0199 & 0.492077 \tabularnewline
42 & 0.003474 & 0.0293 & 0.488364 \tabularnewline
43 & -0.007149 & -0.0602 & 0.523931 \tabularnewline
44 & -0.02829 & -0.2384 & 0.593862 \tabularnewline
45 & -0.039908 & -0.3363 & 0.631171 \tabularnewline
46 & -0.035057 & -0.2954 & 0.615723 \tabularnewline
47 & -0.033968 & -0.2862 & 0.612227 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7197&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]0[/C][C]1[/C][C]8.4261[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.013714[/C][C]0.1156[/C][C]0.454166[/C][/ROW]
[ROW][C]2[/C][C]-0.034906[/C][C]-0.2941[/C][C]0.61524[/C][/ROW]
[ROW][C]3[/C][C]-0.044053[/C][C]-0.3712[/C][C]0.644201[/C][/ROW]
[ROW][C]4[/C][C]-0.051106[/C][C]-0.4306[/C][C]0.665976[/C][/ROW]
[ROW][C]5[/C][C]0.091936[/C][C]0.7747[/C][C]0.220553[/C][/ROW]
[ROW][C]6[/C][C]0.033771[/C][C]0.2846[/C][C]0.388406[/C][/ROW]
[ROW][C]7[/C][C]0.013854[/C][C]0.1167[/C][C]0.453701[/C][/ROW]
[ROW][C]8[/C][C]-0.030551[/C][C]-0.2574[/C][C]0.601205[/C][/ROW]
[ROW][C]9[/C][C]-0.051242[/C][C]-0.4318[/C][C]0.666392[/C][/ROW]
[ROW][C]10[/C][C]-0.053732[/C][C]-0.4528[/C][C]0.673946[/C][/ROW]
[ROW][C]11[/C][C]0.018625[/C][C]0.1569[/C][C]0.437869[/C][/ROW]
[ROW][C]12[/C][C]0.022953[/C][C]0.1934[/C][C]0.423598[/C][/ROW]
[ROW][C]13[/C][C]0.006459[/C][C]0.0544[/C][C]0.478374[/C][/ROW]
[ROW][C]14[/C][C]-0.035211[/C][C]-0.2967[/C][C]0.616216[/C][/ROW]
[ROW][C]15[/C][C]-0.064933[/C][C]-0.5471[/C][C]0.707001[/C][/ROW]
[ROW][C]16[/C][C]-0.045062[/C][C]-0.3797[/C][C]0.647348[/C][/ROW]
[ROW][C]17[/C][C]-0.059394[/C][C]-0.5005[/C][C]0.690851[/C][/ROW]
[ROW][C]18[/C][C]-0.036533[/C][C]-0.3078[/C][C]0.620443[/C][/ROW]
[ROW][C]19[/C][C]0.012734[/C][C]0.1073[/C][C]0.457429[/C][/ROW]
[ROW][C]20[/C][C]-0.05156[/C][C]-0.4345[/C][C]0.667362[/C][/ROW]
[ROW][C]21[/C][C]-0.045866[/C][C]-0.3865[/C][C]0.649849[/C][/ROW]
[ROW][C]22[/C][C]-0.038059[/C][C]-0.3207[/C][C]0.625306[/C][/ROW]
[ROW][C]23[/C][C]-0.007617[/C][C]-0.0642[/C][C]0.525497[/C][/ROW]
[ROW][C]24[/C][C]-0.025147[/C][C]-0.2119[/C][C]0.583599[/C][/ROW]
[ROW][C]25[/C][C]-0.029336[/C][C]-0.2472[/C][C]0.597263[/C][/ROW]
[ROW][C]26[/C][C]-0.023537[/C][C]-0.1983[/C][C]0.578321[/C][/ROW]
[ROW][C]27[/C][C]-0.015389[/C][C]-0.1297[/C][C]0.551402[/C][/ROW]
[ROW][C]28[/C][C]-0.008723[/C][C]-0.0735[/C][C]0.529194[/C][/ROW]
[ROW][C]29[/C][C]-0.008496[/C][C]-0.0716[/C][C]0.528433[/C][/ROW]
[ROW][C]30[/C][C]0.32016[/C][C]2.6977[/C][C]0.004358[/C][/ROW]
[ROW][C]31[/C][C]0.033697[/C][C]0.2839[/C][C]0.388643[/C][/ROW]
[ROW][C]32[/C][C]-0.029673[/C][C]-0.25[/C][C]0.598357[/C][/ROW]
[ROW][C]33[/C][C]-0.017528[/C][C]-0.1477[/C][C]0.558498[/C][/ROW]
[ROW][C]34[/C][C]-0.024086[/C][C]-0.203[/C][C]0.580123[/C][/ROW]
[ROW][C]35[/C][C]0.021232[/C][C]0.1789[/C][C]0.429262[/C][/ROW]
[ROW][C]36[/C][C]0.019305[/C][C]0.1627[/C][C]0.435622[/C][/ROW]
[ROW][C]37[/C][C]-0.00543[/C][C]-0.0458[/C][C]0.518181[/C][/ROW]
[ROW][C]38[/C][C]-0.023345[/C][C]-0.1967[/C][C]0.57769[/C][/ROW]
[ROW][C]39[/C][C]-0.023955[/C][C]-0.2018[/C][C]0.579693[/C][/ROW]
[ROW][C]40[/C][C]-0.028992[/C][C]-0.2443[/C][C]0.596146[/C][/ROW]
[ROW][C]41[/C][C]0.002365[/C][C]0.0199[/C][C]0.492077[/C][/ROW]
[ROW][C]42[/C][C]0.003474[/C][C]0.0293[/C][C]0.488364[/C][/ROW]
[ROW][C]43[/C][C]-0.007149[/C][C]-0.0602[/C][C]0.523931[/C][/ROW]
[ROW][C]44[/C][C]-0.02829[/C][C]-0.2384[/C][C]0.593862[/C][/ROW]
[ROW][C]45[/C][C]-0.039908[/C][C]-0.3363[/C][C]0.631171[/C][/ROW]
[ROW][C]46[/C][C]-0.035057[/C][C]-0.2954[/C][C]0.615723[/C][/ROW]
[ROW][C]47[/C][C]-0.033968[/C][C]-0.2862[/C][C]0.612227[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7197&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7197&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.42610
10.0137140.11560.454166
2-0.034906-0.29410.61524
3-0.044053-0.37120.644201
4-0.051106-0.43060.665976
50.0919360.77470.220553
60.0337710.28460.388406
70.0138540.11670.453701
8-0.030551-0.25740.601205
9-0.051242-0.43180.666392
10-0.053732-0.45280.673946
110.0186250.15690.437869
120.0229530.19340.423598
130.0064590.05440.478374
14-0.035211-0.29670.616216
15-0.064933-0.54710.707001
16-0.045062-0.37970.647348
17-0.059394-0.50050.690851
18-0.036533-0.30780.620443
190.0127340.10730.457429
20-0.05156-0.43450.667362
21-0.045866-0.38650.649849
22-0.038059-0.32070.625306
23-0.007617-0.06420.525497
24-0.025147-0.21190.583599
25-0.029336-0.24720.597263
26-0.023537-0.19830.578321
27-0.015389-0.12970.551402
28-0.008723-0.07350.529194
29-0.008496-0.07160.528433
300.320162.69770.004358
310.0336970.28390.388643
32-0.029673-0.250.598357
33-0.017528-0.14770.558498
34-0.024086-0.2030.580123
350.0212320.17890.429262
360.0193050.16270.435622
37-0.00543-0.04580.518181
38-0.023345-0.19670.57769
39-0.023955-0.20180.579693
40-0.028992-0.24430.596146
410.0023650.01990.492077
420.0034740.02930.488364
43-0.007149-0.06020.523931
44-0.02829-0.23840.593862
45-0.039908-0.33630.631171
46-0.035057-0.29540.615723
47-0.033968-0.28620.612227







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0137140.11560.454166
1-0.035101-0.29580.615864
2-0.043137-0.36350.641337
3-0.051327-0.43250.666653
40.090630.76370.2238
50.02630.22160.412628
60.0150720.1270.449651
7-0.024455-0.20610.581334
8-0.038459-0.32410.626579
9-0.059509-0.50140.69119
100.0112320.09460.462433
110.0097890.08250.467246
120.002910.02450.490252
13-0.029877-0.25170.599017
14-0.04902-0.41310.659593
15-0.044528-0.37520.645686
16-0.070478-0.59390.722754
17-0.054236-0.4570.675468
180.0012450.01050.495831
19-0.054789-0.46170.677133
20-0.041913-0.35320.637494
21-0.032613-0.27480.607867
22-0.009327-0.07860.531212
23-0.048407-0.40790.657709
24-0.043026-0.36250.640988
25-0.03435-0.28940.613454
26-0.023585-0.19870.57848
27-0.022518-0.18970.574972
28-0.01848-0.15570.56165
290.318182.6810.00456
300.0254780.21470.415315
31-0.021082-0.17760.570245
32-0.002022-0.0170.506774
33-0.006243-0.05260.520903
34-0.062467-0.52640.699861
35-0.021683-0.18270.572223
36-0.023555-0.19850.578379
37-0.023403-0.19720.577882
38-0.014185-0.11950.547402
39-0.010599-0.08930.535455
40-0.026055-0.21950.586572
41-0.040431-0.34070.632822
42-0.037782-0.31840.624427
43-0.026782-0.22570.588947
44-0.022233-0.18730.574034
45-0.025769-0.21710.585636
46-0.004592-0.03870.515379
47-0.016569-0.13960.555319

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.013714 & 0.1156 & 0.454166 \tabularnewline
1 & -0.035101 & -0.2958 & 0.615864 \tabularnewline
2 & -0.043137 & -0.3635 & 0.641337 \tabularnewline
3 & -0.051327 & -0.4325 & 0.666653 \tabularnewline
4 & 0.09063 & 0.7637 & 0.2238 \tabularnewline
5 & 0.0263 & 0.2216 & 0.412628 \tabularnewline
6 & 0.015072 & 0.127 & 0.449651 \tabularnewline
7 & -0.024455 & -0.2061 & 0.581334 \tabularnewline
8 & -0.038459 & -0.3241 & 0.626579 \tabularnewline
9 & -0.059509 & -0.5014 & 0.69119 \tabularnewline
10 & 0.011232 & 0.0946 & 0.462433 \tabularnewline
11 & 0.009789 & 0.0825 & 0.467246 \tabularnewline
12 & 0.00291 & 0.0245 & 0.490252 \tabularnewline
13 & -0.029877 & -0.2517 & 0.599017 \tabularnewline
14 & -0.04902 & -0.4131 & 0.659593 \tabularnewline
15 & -0.044528 & -0.3752 & 0.645686 \tabularnewline
16 & -0.070478 & -0.5939 & 0.722754 \tabularnewline
17 & -0.054236 & -0.457 & 0.675468 \tabularnewline
18 & 0.001245 & 0.0105 & 0.495831 \tabularnewline
19 & -0.054789 & -0.4617 & 0.677133 \tabularnewline
20 & -0.041913 & -0.3532 & 0.637494 \tabularnewline
21 & -0.032613 & -0.2748 & 0.607867 \tabularnewline
22 & -0.009327 & -0.0786 & 0.531212 \tabularnewline
23 & -0.048407 & -0.4079 & 0.657709 \tabularnewline
24 & -0.043026 & -0.3625 & 0.640988 \tabularnewline
25 & -0.03435 & -0.2894 & 0.613454 \tabularnewline
26 & -0.023585 & -0.1987 & 0.57848 \tabularnewline
27 & -0.022518 & -0.1897 & 0.574972 \tabularnewline
28 & -0.01848 & -0.1557 & 0.56165 \tabularnewline
29 & 0.31818 & 2.681 & 0.00456 \tabularnewline
30 & 0.025478 & 0.2147 & 0.415315 \tabularnewline
31 & -0.021082 & -0.1776 & 0.570245 \tabularnewline
32 & -0.002022 & -0.017 & 0.506774 \tabularnewline
33 & -0.006243 & -0.0526 & 0.520903 \tabularnewline
34 & -0.062467 & -0.5264 & 0.699861 \tabularnewline
35 & -0.021683 & -0.1827 & 0.572223 \tabularnewline
36 & -0.023555 & -0.1985 & 0.578379 \tabularnewline
37 & -0.023403 & -0.1972 & 0.577882 \tabularnewline
38 & -0.014185 & -0.1195 & 0.547402 \tabularnewline
39 & -0.010599 & -0.0893 & 0.535455 \tabularnewline
40 & -0.026055 & -0.2195 & 0.586572 \tabularnewline
41 & -0.040431 & -0.3407 & 0.632822 \tabularnewline
42 & -0.037782 & -0.3184 & 0.624427 \tabularnewline
43 & -0.026782 & -0.2257 & 0.588947 \tabularnewline
44 & -0.022233 & -0.1873 & 0.574034 \tabularnewline
45 & -0.025769 & -0.2171 & 0.585636 \tabularnewline
46 & -0.004592 & -0.0387 & 0.515379 \tabularnewline
47 & -0.016569 & -0.1396 & 0.555319 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7197&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]0[/C][C]0.013714[/C][C]0.1156[/C][C]0.454166[/C][/ROW]
[ROW][C]1[/C][C]-0.035101[/C][C]-0.2958[/C][C]0.615864[/C][/ROW]
[ROW][C]2[/C][C]-0.043137[/C][C]-0.3635[/C][C]0.641337[/C][/ROW]
[ROW][C]3[/C][C]-0.051327[/C][C]-0.4325[/C][C]0.666653[/C][/ROW]
[ROW][C]4[/C][C]0.09063[/C][C]0.7637[/C][C]0.2238[/C][/ROW]
[ROW][C]5[/C][C]0.0263[/C][C]0.2216[/C][C]0.412628[/C][/ROW]
[ROW][C]6[/C][C]0.015072[/C][C]0.127[/C][C]0.449651[/C][/ROW]
[ROW][C]7[/C][C]-0.024455[/C][C]-0.2061[/C][C]0.581334[/C][/ROW]
[ROW][C]8[/C][C]-0.038459[/C][C]-0.3241[/C][C]0.626579[/C][/ROW]
[ROW][C]9[/C][C]-0.059509[/C][C]-0.5014[/C][C]0.69119[/C][/ROW]
[ROW][C]10[/C][C]0.011232[/C][C]0.0946[/C][C]0.462433[/C][/ROW]
[ROW][C]11[/C][C]0.009789[/C][C]0.0825[/C][C]0.467246[/C][/ROW]
[ROW][C]12[/C][C]0.00291[/C][C]0.0245[/C][C]0.490252[/C][/ROW]
[ROW][C]13[/C][C]-0.029877[/C][C]-0.2517[/C][C]0.599017[/C][/ROW]
[ROW][C]14[/C][C]-0.04902[/C][C]-0.4131[/C][C]0.659593[/C][/ROW]
[ROW][C]15[/C][C]-0.044528[/C][C]-0.3752[/C][C]0.645686[/C][/ROW]
[ROW][C]16[/C][C]-0.070478[/C][C]-0.5939[/C][C]0.722754[/C][/ROW]
[ROW][C]17[/C][C]-0.054236[/C][C]-0.457[/C][C]0.675468[/C][/ROW]
[ROW][C]18[/C][C]0.001245[/C][C]0.0105[/C][C]0.495831[/C][/ROW]
[ROW][C]19[/C][C]-0.054789[/C][C]-0.4617[/C][C]0.677133[/C][/ROW]
[ROW][C]20[/C][C]-0.041913[/C][C]-0.3532[/C][C]0.637494[/C][/ROW]
[ROW][C]21[/C][C]-0.032613[/C][C]-0.2748[/C][C]0.607867[/C][/ROW]
[ROW][C]22[/C][C]-0.009327[/C][C]-0.0786[/C][C]0.531212[/C][/ROW]
[ROW][C]23[/C][C]-0.048407[/C][C]-0.4079[/C][C]0.657709[/C][/ROW]
[ROW][C]24[/C][C]-0.043026[/C][C]-0.3625[/C][C]0.640988[/C][/ROW]
[ROW][C]25[/C][C]-0.03435[/C][C]-0.2894[/C][C]0.613454[/C][/ROW]
[ROW][C]26[/C][C]-0.023585[/C][C]-0.1987[/C][C]0.57848[/C][/ROW]
[ROW][C]27[/C][C]-0.022518[/C][C]-0.1897[/C][C]0.574972[/C][/ROW]
[ROW][C]28[/C][C]-0.01848[/C][C]-0.1557[/C][C]0.56165[/C][/ROW]
[ROW][C]29[/C][C]0.31818[/C][C]2.681[/C][C]0.00456[/C][/ROW]
[ROW][C]30[/C][C]0.025478[/C][C]0.2147[/C][C]0.415315[/C][/ROW]
[ROW][C]31[/C][C]-0.021082[/C][C]-0.1776[/C][C]0.570245[/C][/ROW]
[ROW][C]32[/C][C]-0.002022[/C][C]-0.017[/C][C]0.506774[/C][/ROW]
[ROW][C]33[/C][C]-0.006243[/C][C]-0.0526[/C][C]0.520903[/C][/ROW]
[ROW][C]34[/C][C]-0.062467[/C][C]-0.5264[/C][C]0.699861[/C][/ROW]
[ROW][C]35[/C][C]-0.021683[/C][C]-0.1827[/C][C]0.572223[/C][/ROW]
[ROW][C]36[/C][C]-0.023555[/C][C]-0.1985[/C][C]0.578379[/C][/ROW]
[ROW][C]37[/C][C]-0.023403[/C][C]-0.1972[/C][C]0.577882[/C][/ROW]
[ROW][C]38[/C][C]-0.014185[/C][C]-0.1195[/C][C]0.547402[/C][/ROW]
[ROW][C]39[/C][C]-0.010599[/C][C]-0.0893[/C][C]0.535455[/C][/ROW]
[ROW][C]40[/C][C]-0.026055[/C][C]-0.2195[/C][C]0.586572[/C][/ROW]
[ROW][C]41[/C][C]-0.040431[/C][C]-0.3407[/C][C]0.632822[/C][/ROW]
[ROW][C]42[/C][C]-0.037782[/C][C]-0.3184[/C][C]0.624427[/C][/ROW]
[ROW][C]43[/C][C]-0.026782[/C][C]-0.2257[/C][C]0.588947[/C][/ROW]
[ROW][C]44[/C][C]-0.022233[/C][C]-0.1873[/C][C]0.574034[/C][/ROW]
[ROW][C]45[/C][C]-0.025769[/C][C]-0.2171[/C][C]0.585636[/C][/ROW]
[ROW][C]46[/C][C]-0.004592[/C][C]-0.0387[/C][C]0.515379[/C][/ROW]
[ROW][C]47[/C][C]-0.016569[/C][C]-0.1396[/C][C]0.555319[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7197&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7197&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0137140.11560.454166
1-0.035101-0.29580.615864
2-0.043137-0.36350.641337
3-0.051327-0.43250.666653
40.090630.76370.2238
50.02630.22160.412628
60.0150720.1270.449651
7-0.024455-0.20610.581334
8-0.038459-0.32410.626579
9-0.059509-0.50140.69119
100.0112320.09460.462433
110.0097890.08250.467246
120.002910.02450.490252
13-0.029877-0.25170.599017
14-0.04902-0.41310.659593
15-0.044528-0.37520.645686
16-0.070478-0.59390.722754
17-0.054236-0.4570.675468
180.0012450.01050.495831
19-0.054789-0.46170.677133
20-0.041913-0.35320.637494
21-0.032613-0.27480.607867
22-0.009327-0.07860.531212
23-0.048407-0.40790.657709
24-0.043026-0.36250.640988
25-0.03435-0.28940.613454
26-0.023585-0.19870.57848
27-0.022518-0.18970.574972
28-0.01848-0.15570.56165
290.318182.6810.00456
300.0254780.21470.415315
31-0.021082-0.17760.570245
32-0.002022-0.0170.506774
33-0.006243-0.05260.520903
34-0.062467-0.52640.699861
35-0.021683-0.18270.572223
36-0.023555-0.19850.578379
37-0.023403-0.19720.577882
38-0.014185-0.11950.547402
39-0.010599-0.08930.535455
40-0.026055-0.21950.586572
41-0.040431-0.34070.632822
42-0.037782-0.31840.624427
43-0.026782-0.22570.588947
44-0.022233-0.18730.574034
45-0.025769-0.21710.585636
46-0.004592-0.03870.515379
47-0.016569-0.13960.555319



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')