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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 10:32:26 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t1242318794crzzixztry38s4t.htm/, Retrieved Mon, 29 Apr 2024 04:22:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40039, Retrieved Mon, 29 Apr 2024 04:22:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2009-05-13 17:35:01] [e85043a45c4704563f796a637730b863]
-    D    [(Partial) Autocorrelation Function] [Opgave 6bis - Sof...] [2009-05-14 16:32:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
30.06
30.46
30.46
30.49
30.49
30.5
30.5
30.5
30.51
30.51
30.61
30.88
30.95
31.09
31.28
31.31
31.32
31.34
31.34
31.34
31.34
31.36
31.36
31.36
31.72
32.07
32.13
32.19
32.26
32.27
32.28
32.28
32.28
32.29
32.61
32.68
32.69
32.74
32.86
32.86
32.9
32.95
32.95
32.96
32.99
33
33.06
33.42
33.48
33.5
33.51
33.52
33.55
33.56
33.56
33.56
33.6
33.61
33.62
33.72
33.83
33.96
34.06
34.11
34.11
34.21
34.19
34.17
34.12
34.15
34.15
34.15




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40039&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40039&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40039&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9586758.13460
20.9224377.82710
30.8845117.50530
40.845847.17720
50.8050646.83120
60.7637046.48020
70.7212196.11980
80.6794745.76550
90.6373115.40780
100.5935945.03682e-06
110.5499224.66627e-06
120.5117734.34252.3e-05
130.4743244.02487e-05
140.4371233.70910.000203
150.401313.40520.000542
160.3649363.09660.001395
170.3283582.78620.003406
180.2914462.4730.00788
190.2537482.15310.01733
200.2154931.82850.035807
210.1765761.49830.069214
220.1370391.16280.124373
230.0954690.81010.210282
240.0503920.42760.335112
250.0111420.09450.46247
26-0.01662-0.1410.444123
27-0.043326-0.36760.357114
28-0.07001-0.59410.277169
29-0.095523-0.81050.21015
30-0.121115-1.02770.153767
31-0.146858-1.24610.108378
32-0.172596-1.46450.073702
33-0.198307-1.68270.048384
34-0.225893-1.91680.029618
35-0.246355-2.09040.020057
36-0.266071-2.25770.013499
37-0.287425-2.43890.0086
38-0.308432-2.61710.0054
39-0.3229-2.73990.003872
40-0.337703-2.86550.002727
41-0.352206-2.98860.001916
42-0.366038-3.10590.001357
43-0.379802-3.22270.000954
44-0.393241-3.33680.000672
45-0.405214-3.43840.000488
46-0.41674-3.53620.000357
47-0.427805-3.630.000263
48-0.426883-3.62220.00027

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958675 & 8.1346 & 0 \tabularnewline
2 & 0.922437 & 7.8271 & 0 \tabularnewline
3 & 0.884511 & 7.5053 & 0 \tabularnewline
4 & 0.84584 & 7.1772 & 0 \tabularnewline
5 & 0.805064 & 6.8312 & 0 \tabularnewline
6 & 0.763704 & 6.4802 & 0 \tabularnewline
7 & 0.721219 & 6.1198 & 0 \tabularnewline
8 & 0.679474 & 5.7655 & 0 \tabularnewline
9 & 0.637311 & 5.4078 & 0 \tabularnewline
10 & 0.593594 & 5.0368 & 2e-06 \tabularnewline
11 & 0.549922 & 4.6662 & 7e-06 \tabularnewline
12 & 0.511773 & 4.3425 & 2.3e-05 \tabularnewline
13 & 0.474324 & 4.0248 & 7e-05 \tabularnewline
14 & 0.437123 & 3.7091 & 0.000203 \tabularnewline
15 & 0.40131 & 3.4052 & 0.000542 \tabularnewline
16 & 0.364936 & 3.0966 & 0.001395 \tabularnewline
17 & 0.328358 & 2.7862 & 0.003406 \tabularnewline
18 & 0.291446 & 2.473 & 0.00788 \tabularnewline
19 & 0.253748 & 2.1531 & 0.01733 \tabularnewline
20 & 0.215493 & 1.8285 & 0.035807 \tabularnewline
21 & 0.176576 & 1.4983 & 0.069214 \tabularnewline
22 & 0.137039 & 1.1628 & 0.124373 \tabularnewline
23 & 0.095469 & 0.8101 & 0.210282 \tabularnewline
24 & 0.050392 & 0.4276 & 0.335112 \tabularnewline
25 & 0.011142 & 0.0945 & 0.46247 \tabularnewline
26 & -0.01662 & -0.141 & 0.444123 \tabularnewline
27 & -0.043326 & -0.3676 & 0.357114 \tabularnewline
28 & -0.07001 & -0.5941 & 0.277169 \tabularnewline
29 & -0.095523 & -0.8105 & 0.21015 \tabularnewline
30 & -0.121115 & -1.0277 & 0.153767 \tabularnewline
31 & -0.146858 & -1.2461 & 0.108378 \tabularnewline
32 & -0.172596 & -1.4645 & 0.073702 \tabularnewline
33 & -0.198307 & -1.6827 & 0.048384 \tabularnewline
34 & -0.225893 & -1.9168 & 0.029618 \tabularnewline
35 & -0.246355 & -2.0904 & 0.020057 \tabularnewline
36 & -0.266071 & -2.2577 & 0.013499 \tabularnewline
37 & -0.287425 & -2.4389 & 0.0086 \tabularnewline
38 & -0.308432 & -2.6171 & 0.0054 \tabularnewline
39 & -0.3229 & -2.7399 & 0.003872 \tabularnewline
40 & -0.337703 & -2.8655 & 0.002727 \tabularnewline
41 & -0.352206 & -2.9886 & 0.001916 \tabularnewline
42 & -0.366038 & -3.1059 & 0.001357 \tabularnewline
43 & -0.379802 & -3.2227 & 0.000954 \tabularnewline
44 & -0.393241 & -3.3368 & 0.000672 \tabularnewline
45 & -0.405214 & -3.4384 & 0.000488 \tabularnewline
46 & -0.41674 & -3.5362 & 0.000357 \tabularnewline
47 & -0.427805 & -3.63 & 0.000263 \tabularnewline
48 & -0.426883 & -3.6222 & 0.00027 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40039&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]0.958675[/C][C]8.1346[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.922437[/C][C]7.8271[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.884511[/C][C]7.5053[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.84584[/C][C]7.1772[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.805064[/C][C]6.8312[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.763704[/C][C]6.4802[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.721219[/C][C]6.1198[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.679474[/C][C]5.7655[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.637311[/C][C]5.4078[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.593594[/C][C]5.0368[/C][C]2e-06[/C][/ROW]
[ROW][C]11[/C][C]0.549922[/C][C]4.6662[/C][C]7e-06[/C][/ROW]
[ROW][C]12[/C][C]0.511773[/C][C]4.3425[/C][C]2.3e-05[/C][/ROW]
[ROW][C]13[/C][C]0.474324[/C][C]4.0248[/C][C]7e-05[/C][/ROW]
[ROW][C]14[/C][C]0.437123[/C][C]3.7091[/C][C]0.000203[/C][/ROW]
[ROW][C]15[/C][C]0.40131[/C][C]3.4052[/C][C]0.000542[/C][/ROW]
[ROW][C]16[/C][C]0.364936[/C][C]3.0966[/C][C]0.001395[/C][/ROW]
[ROW][C]17[/C][C]0.328358[/C][C]2.7862[/C][C]0.003406[/C][/ROW]
[ROW][C]18[/C][C]0.291446[/C][C]2.473[/C][C]0.00788[/C][/ROW]
[ROW][C]19[/C][C]0.253748[/C][C]2.1531[/C][C]0.01733[/C][/ROW]
[ROW][C]20[/C][C]0.215493[/C][C]1.8285[/C][C]0.035807[/C][/ROW]
[ROW][C]21[/C][C]0.176576[/C][C]1.4983[/C][C]0.069214[/C][/ROW]
[ROW][C]22[/C][C]0.137039[/C][C]1.1628[/C][C]0.124373[/C][/ROW]
[ROW][C]23[/C][C]0.095469[/C][C]0.8101[/C][C]0.210282[/C][/ROW]
[ROW][C]24[/C][C]0.050392[/C][C]0.4276[/C][C]0.335112[/C][/ROW]
[ROW][C]25[/C][C]0.011142[/C][C]0.0945[/C][C]0.46247[/C][/ROW]
[ROW][C]26[/C][C]-0.01662[/C][C]-0.141[/C][C]0.444123[/C][/ROW]
[ROW][C]27[/C][C]-0.043326[/C][C]-0.3676[/C][C]0.357114[/C][/ROW]
[ROW][C]28[/C][C]-0.07001[/C][C]-0.5941[/C][C]0.277169[/C][/ROW]
[ROW][C]29[/C][C]-0.095523[/C][C]-0.8105[/C][C]0.21015[/C][/ROW]
[ROW][C]30[/C][C]-0.121115[/C][C]-1.0277[/C][C]0.153767[/C][/ROW]
[ROW][C]31[/C][C]-0.146858[/C][C]-1.2461[/C][C]0.108378[/C][/ROW]
[ROW][C]32[/C][C]-0.172596[/C][C]-1.4645[/C][C]0.073702[/C][/ROW]
[ROW][C]33[/C][C]-0.198307[/C][C]-1.6827[/C][C]0.048384[/C][/ROW]
[ROW][C]34[/C][C]-0.225893[/C][C]-1.9168[/C][C]0.029618[/C][/ROW]
[ROW][C]35[/C][C]-0.246355[/C][C]-2.0904[/C][C]0.020057[/C][/ROW]
[ROW][C]36[/C][C]-0.266071[/C][C]-2.2577[/C][C]0.013499[/C][/ROW]
[ROW][C]37[/C][C]-0.287425[/C][C]-2.4389[/C][C]0.0086[/C][/ROW]
[ROW][C]38[/C][C]-0.308432[/C][C]-2.6171[/C][C]0.0054[/C][/ROW]
[ROW][C]39[/C][C]-0.3229[/C][C]-2.7399[/C][C]0.003872[/C][/ROW]
[ROW][C]40[/C][C]-0.337703[/C][C]-2.8655[/C][C]0.002727[/C][/ROW]
[ROW][C]41[/C][C]-0.352206[/C][C]-2.9886[/C][C]0.001916[/C][/ROW]
[ROW][C]42[/C][C]-0.366038[/C][C]-3.1059[/C][C]0.001357[/C][/ROW]
[ROW][C]43[/C][C]-0.379802[/C][C]-3.2227[/C][C]0.000954[/C][/ROW]
[ROW][C]44[/C][C]-0.393241[/C][C]-3.3368[/C][C]0.000672[/C][/ROW]
[ROW][C]45[/C][C]-0.405214[/C][C]-3.4384[/C][C]0.000488[/C][/ROW]
[ROW][C]46[/C][C]-0.41674[/C][C]-3.5362[/C][C]0.000357[/C][/ROW]
[ROW][C]47[/C][C]-0.427805[/C][C]-3.63[/C][C]0.000263[/C][/ROW]
[ROW][C]48[/C][C]-0.426883[/C][C]-3.6222[/C][C]0.00027[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40039&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40039&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
10.9586758.13460
20.9224377.82710
30.8845117.50530
40.845847.17720
50.8050646.83120
60.7637046.48020
70.7212196.11980
80.6794745.76550
90.6373115.40780
100.5935945.03682e-06
110.5499224.66627e-06
120.5117734.34252.3e-05
130.4743244.02487e-05
140.4371233.70910.000203
150.401313.40520.000542
160.3649363.09660.001395
170.3283582.78620.003406
180.2914462.4730.00788
190.2537482.15310.01733
200.2154931.82850.035807
210.1765761.49830.069214
220.1370391.16280.124373
230.0954690.81010.210282
240.0503920.42760.335112
250.0111420.09450.46247
26-0.01662-0.1410.444123
27-0.043326-0.36760.357114
28-0.07001-0.59410.277169
29-0.095523-0.81050.21015
30-0.121115-1.02770.153767
31-0.146858-1.24610.108378
32-0.172596-1.46450.073702
33-0.198307-1.68270.048384
34-0.225893-1.91680.029618
35-0.246355-2.09040.020057
36-0.266071-2.25770.013499
37-0.287425-2.43890.0086
38-0.308432-2.61710.0054
39-0.3229-2.73990.003872
40-0.337703-2.86550.002727
41-0.352206-2.98860.001916
42-0.366038-3.10590.001357
43-0.379802-3.22270.000954
44-0.393241-3.33680.000672
45-0.405214-3.43840.000488
46-0.41674-3.53620.000357
47-0.427805-3.630.000263
48-0.426883-3.62220.00027







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9586758.13460
20.0417530.35430.362081
3-0.036026-0.30570.380362
4-0.031586-0.2680.394727
5-0.047971-0.4070.342592
6-0.032671-0.27720.391202
7-0.037498-0.31820.375635
8-0.016413-0.13930.444814
9-0.027724-0.23520.407342
10-0.045222-0.38370.351159
11-0.028617-0.24280.404417
120.0412930.35040.363536
13-0.007402-0.06280.475047
14-0.022174-0.18820.425643
15-0.009469-0.08030.468093
16-0.033989-0.28840.386933
17-0.033164-0.28140.389603
18-0.034596-0.29360.384971
19-0.038946-0.33050.371002
20-0.038854-0.32970.371297
21-0.043582-0.36980.356306
22-0.041726-0.35410.362164
23-0.056409-0.47860.31682
24-0.083269-0.70660.24106
250.0283650.24070.405241
260.1224511.0390.151133
270.0043530.03690.485318
28-0.030784-0.26120.397338
29-0.022302-0.18920.425219
30-0.040459-0.34330.366186
31-0.043572-0.36970.356337
32-0.039098-0.33180.370519
33-0.035197-0.29870.383032
34-0.069941-0.59350.277364
350.0349340.29640.383878
36-0.002795-0.02370.490572
37-0.033728-0.28620.387778
38-0.027858-0.23640.406904
390.0544090.46170.322853
40-0.015973-0.13550.446284
41-0.036163-0.30690.37992
42-0.029051-0.24650.402997
43-0.03949-0.33510.369268
44-0.043828-0.37190.355533
45-0.02922-0.24790.402443
46-0.021761-0.18460.427013
47-0.03563-0.30230.381636
480.100950.85660.197257

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958675 & 8.1346 & 0 \tabularnewline
2 & 0.041753 & 0.3543 & 0.362081 \tabularnewline
3 & -0.036026 & -0.3057 & 0.380362 \tabularnewline
4 & -0.031586 & -0.268 & 0.394727 \tabularnewline
5 & -0.047971 & -0.407 & 0.342592 \tabularnewline
6 & -0.032671 & -0.2772 & 0.391202 \tabularnewline
7 & -0.037498 & -0.3182 & 0.375635 \tabularnewline
8 & -0.016413 & -0.1393 & 0.444814 \tabularnewline
9 & -0.027724 & -0.2352 & 0.407342 \tabularnewline
10 & -0.045222 & -0.3837 & 0.351159 \tabularnewline
11 & -0.028617 & -0.2428 & 0.404417 \tabularnewline
12 & 0.041293 & 0.3504 & 0.363536 \tabularnewline
13 & -0.007402 & -0.0628 & 0.475047 \tabularnewline
14 & -0.022174 & -0.1882 & 0.425643 \tabularnewline
15 & -0.009469 & -0.0803 & 0.468093 \tabularnewline
16 & -0.033989 & -0.2884 & 0.386933 \tabularnewline
17 & -0.033164 & -0.2814 & 0.389603 \tabularnewline
18 & -0.034596 & -0.2936 & 0.384971 \tabularnewline
19 & -0.038946 & -0.3305 & 0.371002 \tabularnewline
20 & -0.038854 & -0.3297 & 0.371297 \tabularnewline
21 & -0.043582 & -0.3698 & 0.356306 \tabularnewline
22 & -0.041726 & -0.3541 & 0.362164 \tabularnewline
23 & -0.056409 & -0.4786 & 0.31682 \tabularnewline
24 & -0.083269 & -0.7066 & 0.24106 \tabularnewline
25 & 0.028365 & 0.2407 & 0.405241 \tabularnewline
26 & 0.122451 & 1.039 & 0.151133 \tabularnewline
27 & 0.004353 & 0.0369 & 0.485318 \tabularnewline
28 & -0.030784 & -0.2612 & 0.397338 \tabularnewline
29 & -0.022302 & -0.1892 & 0.425219 \tabularnewline
30 & -0.040459 & -0.3433 & 0.366186 \tabularnewline
31 & -0.043572 & -0.3697 & 0.356337 \tabularnewline
32 & -0.039098 & -0.3318 & 0.370519 \tabularnewline
33 & -0.035197 & -0.2987 & 0.383032 \tabularnewline
34 & -0.069941 & -0.5935 & 0.277364 \tabularnewline
35 & 0.034934 & 0.2964 & 0.383878 \tabularnewline
36 & -0.002795 & -0.0237 & 0.490572 \tabularnewline
37 & -0.033728 & -0.2862 & 0.387778 \tabularnewline
38 & -0.027858 & -0.2364 & 0.406904 \tabularnewline
39 & 0.054409 & 0.4617 & 0.322853 \tabularnewline
40 & -0.015973 & -0.1355 & 0.446284 \tabularnewline
41 & -0.036163 & -0.3069 & 0.37992 \tabularnewline
42 & -0.029051 & -0.2465 & 0.402997 \tabularnewline
43 & -0.03949 & -0.3351 & 0.369268 \tabularnewline
44 & -0.043828 & -0.3719 & 0.355533 \tabularnewline
45 & -0.02922 & -0.2479 & 0.402443 \tabularnewline
46 & -0.021761 & -0.1846 & 0.427013 \tabularnewline
47 & -0.03563 & -0.3023 & 0.381636 \tabularnewline
48 & 0.10095 & 0.8566 & 0.197257 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40039&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]0.958675[/C][C]8.1346[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.041753[/C][C]0.3543[/C][C]0.362081[/C][/ROW]
[ROW][C]3[/C][C]-0.036026[/C][C]-0.3057[/C][C]0.380362[/C][/ROW]
[ROW][C]4[/C][C]-0.031586[/C][C]-0.268[/C][C]0.394727[/C][/ROW]
[ROW][C]5[/C][C]-0.047971[/C][C]-0.407[/C][C]0.342592[/C][/ROW]
[ROW][C]6[/C][C]-0.032671[/C][C]-0.2772[/C][C]0.391202[/C][/ROW]
[ROW][C]7[/C][C]-0.037498[/C][C]-0.3182[/C][C]0.375635[/C][/ROW]
[ROW][C]8[/C][C]-0.016413[/C][C]-0.1393[/C][C]0.444814[/C][/ROW]
[ROW][C]9[/C][C]-0.027724[/C][C]-0.2352[/C][C]0.407342[/C][/ROW]
[ROW][C]10[/C][C]-0.045222[/C][C]-0.3837[/C][C]0.351159[/C][/ROW]
[ROW][C]11[/C][C]-0.028617[/C][C]-0.2428[/C][C]0.404417[/C][/ROW]
[ROW][C]12[/C][C]0.041293[/C][C]0.3504[/C][C]0.363536[/C][/ROW]
[ROW][C]13[/C][C]-0.007402[/C][C]-0.0628[/C][C]0.475047[/C][/ROW]
[ROW][C]14[/C][C]-0.022174[/C][C]-0.1882[/C][C]0.425643[/C][/ROW]
[ROW][C]15[/C][C]-0.009469[/C][C]-0.0803[/C][C]0.468093[/C][/ROW]
[ROW][C]16[/C][C]-0.033989[/C][C]-0.2884[/C][C]0.386933[/C][/ROW]
[ROW][C]17[/C][C]-0.033164[/C][C]-0.2814[/C][C]0.389603[/C][/ROW]
[ROW][C]18[/C][C]-0.034596[/C][C]-0.2936[/C][C]0.384971[/C][/ROW]
[ROW][C]19[/C][C]-0.038946[/C][C]-0.3305[/C][C]0.371002[/C][/ROW]
[ROW][C]20[/C][C]-0.038854[/C][C]-0.3297[/C][C]0.371297[/C][/ROW]
[ROW][C]21[/C][C]-0.043582[/C][C]-0.3698[/C][C]0.356306[/C][/ROW]
[ROW][C]22[/C][C]-0.041726[/C][C]-0.3541[/C][C]0.362164[/C][/ROW]
[ROW][C]23[/C][C]-0.056409[/C][C]-0.4786[/C][C]0.31682[/C][/ROW]
[ROW][C]24[/C][C]-0.083269[/C][C]-0.7066[/C][C]0.24106[/C][/ROW]
[ROW][C]25[/C][C]0.028365[/C][C]0.2407[/C][C]0.405241[/C][/ROW]
[ROW][C]26[/C][C]0.122451[/C][C]1.039[/C][C]0.151133[/C][/ROW]
[ROW][C]27[/C][C]0.004353[/C][C]0.0369[/C][C]0.485318[/C][/ROW]
[ROW][C]28[/C][C]-0.030784[/C][C]-0.2612[/C][C]0.397338[/C][/ROW]
[ROW][C]29[/C][C]-0.022302[/C][C]-0.1892[/C][C]0.425219[/C][/ROW]
[ROW][C]30[/C][C]-0.040459[/C][C]-0.3433[/C][C]0.366186[/C][/ROW]
[ROW][C]31[/C][C]-0.043572[/C][C]-0.3697[/C][C]0.356337[/C][/ROW]
[ROW][C]32[/C][C]-0.039098[/C][C]-0.3318[/C][C]0.370519[/C][/ROW]
[ROW][C]33[/C][C]-0.035197[/C][C]-0.2987[/C][C]0.383032[/C][/ROW]
[ROW][C]34[/C][C]-0.069941[/C][C]-0.5935[/C][C]0.277364[/C][/ROW]
[ROW][C]35[/C][C]0.034934[/C][C]0.2964[/C][C]0.383878[/C][/ROW]
[ROW][C]36[/C][C]-0.002795[/C][C]-0.0237[/C][C]0.490572[/C][/ROW]
[ROW][C]37[/C][C]-0.033728[/C][C]-0.2862[/C][C]0.387778[/C][/ROW]
[ROW][C]38[/C][C]-0.027858[/C][C]-0.2364[/C][C]0.406904[/C][/ROW]
[ROW][C]39[/C][C]0.054409[/C][C]0.4617[/C][C]0.322853[/C][/ROW]
[ROW][C]40[/C][C]-0.015973[/C][C]-0.1355[/C][C]0.446284[/C][/ROW]
[ROW][C]41[/C][C]-0.036163[/C][C]-0.3069[/C][C]0.37992[/C][/ROW]
[ROW][C]42[/C][C]-0.029051[/C][C]-0.2465[/C][C]0.402997[/C][/ROW]
[ROW][C]43[/C][C]-0.03949[/C][C]-0.3351[/C][C]0.369268[/C][/ROW]
[ROW][C]44[/C][C]-0.043828[/C][C]-0.3719[/C][C]0.355533[/C][/ROW]
[ROW][C]45[/C][C]-0.02922[/C][C]-0.2479[/C][C]0.402443[/C][/ROW]
[ROW][C]46[/C][C]-0.021761[/C][C]-0.1846[/C][C]0.427013[/C][/ROW]
[ROW][C]47[/C][C]-0.03563[/C][C]-0.3023[/C][C]0.381636[/C][/ROW]
[ROW][C]48[/C][C]0.10095[/C][C]0.8566[/C][C]0.197257[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40039&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40039&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
10.9586758.13460
20.0417530.35430.362081
3-0.036026-0.30570.380362
4-0.031586-0.2680.394727
5-0.047971-0.4070.342592
6-0.032671-0.27720.391202
7-0.037498-0.31820.375635
8-0.016413-0.13930.444814
9-0.027724-0.23520.407342
10-0.045222-0.38370.351159
11-0.028617-0.24280.404417
120.0412930.35040.363536
13-0.007402-0.06280.475047
14-0.022174-0.18820.425643
15-0.009469-0.08030.468093
16-0.033989-0.28840.386933
17-0.033164-0.28140.389603
18-0.034596-0.29360.384971
19-0.038946-0.33050.371002
20-0.038854-0.32970.371297
21-0.043582-0.36980.356306
22-0.041726-0.35410.362164
23-0.056409-0.47860.31682
24-0.083269-0.70660.24106
250.0283650.24070.405241
260.1224511.0390.151133
270.0043530.03690.485318
28-0.030784-0.26120.397338
29-0.022302-0.18920.425219
30-0.040459-0.34330.366186
31-0.043572-0.36970.356337
32-0.039098-0.33180.370519
33-0.035197-0.29870.383032
34-0.069941-0.59350.277364
350.0349340.29640.383878
36-0.002795-0.02370.490572
37-0.033728-0.28620.387778
38-0.027858-0.23640.406904
390.0544090.46170.322853
40-0.015973-0.13550.446284
41-0.036163-0.30690.37992
42-0.029051-0.24650.402997
43-0.03949-0.33510.369268
44-0.043828-0.37190.355533
45-0.02922-0.24790.402443
46-0.021761-0.18460.427013
47-0.03563-0.30230.381636
480.100950.85660.197257



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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 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')