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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 21 Nov 2011 11:46:18 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/21/t1321894085tbflai5oiutqgec.htm/, Retrieved Fri, 29 Mar 2024 14:53:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145819, Retrieved Fri, 29 Mar 2024 14:53:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Goudkoers te Brus...] [2011-11-21 16:46:18] [b7d89a59d057204a66389ee14552eeec] [Current]
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Dataseries X:
10407
10463
10556
10646
10702
11353
11346
11451
11964
12574
13031
13812
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18079
18483
19644
19195
19650
20830
23595
22937
21814
21928
21777
21383
21467
22052
22680
24320
24977
25204
25739
26434
27525
30695
32436
30160
30236
31293
31077
32226
33865




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145819&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145819&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145819&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'Gertrude Mary Cox' @ cox.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9308087.89820
20.8663317.35110
30.8107126.87910
40.7500086.3640
50.6922535.8740
60.6381495.41490
70.5676614.81684e-06
80.502784.26623e-05
90.4572583.880.000114
100.4173923.54170.000351
110.3829113.24910.00088
120.3514212.98190.001953
130.3195162.71120.004189
140.2891042.45310.008292
150.2674542.26940.01312
160.2485792.10930.0192
170.2320221.96880.026415
180.2114911.79460.038461
190.1931261.63870.052816
200.1735381.47250.072619
210.1503011.27530.103144
220.1198981.01740.156192
230.0831060.70520.241489
240.057020.48380.314987
250.0377760.32050.374744
260.0246640.20930.41741
270.0044710.03790.484922
28-0.012056-0.10230.459404
29-0.027685-0.23490.407471
30-0.051277-0.43510.332397
31-0.070609-0.59910.275482
32-0.091661-0.77780.219627
33-0.109976-0.93320.176923
34-0.137838-1.16960.123011
35-0.166585-1.41350.080906
36-0.19097-1.62040.054755
37-0.201504-1.70980.045803
38-0.211836-1.79750.038225
39-0.219211-1.86010.03348
40-0.229138-1.94430.027883
41-0.237407-2.01450.023848
42-0.244034-2.07070.020986
43-0.248591-2.10940.019195
44-0.259727-2.20390.015367
45-0.270256-2.29320.01238
46-0.275437-2.33720.011108
47-0.287389-2.43860.008606
48-0.293524-2.49060.007529

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.930808 & 7.8982 & 0 \tabularnewline
2 & 0.866331 & 7.3511 & 0 \tabularnewline
3 & 0.810712 & 6.8791 & 0 \tabularnewline
4 & 0.750008 & 6.364 & 0 \tabularnewline
5 & 0.692253 & 5.874 & 0 \tabularnewline
6 & 0.638149 & 5.4149 & 0 \tabularnewline
7 & 0.567661 & 4.8168 & 4e-06 \tabularnewline
8 & 0.50278 & 4.2662 & 3e-05 \tabularnewline
9 & 0.457258 & 3.88 & 0.000114 \tabularnewline
10 & 0.417392 & 3.5417 & 0.000351 \tabularnewline
11 & 0.382911 & 3.2491 & 0.00088 \tabularnewline
12 & 0.351421 & 2.9819 & 0.001953 \tabularnewline
13 & 0.319516 & 2.7112 & 0.004189 \tabularnewline
14 & 0.289104 & 2.4531 & 0.008292 \tabularnewline
15 & 0.267454 & 2.2694 & 0.01312 \tabularnewline
16 & 0.248579 & 2.1093 & 0.0192 \tabularnewline
17 & 0.232022 & 1.9688 & 0.026415 \tabularnewline
18 & 0.211491 & 1.7946 & 0.038461 \tabularnewline
19 & 0.193126 & 1.6387 & 0.052816 \tabularnewline
20 & 0.173538 & 1.4725 & 0.072619 \tabularnewline
21 & 0.150301 & 1.2753 & 0.103144 \tabularnewline
22 & 0.119898 & 1.0174 & 0.156192 \tabularnewline
23 & 0.083106 & 0.7052 & 0.241489 \tabularnewline
24 & 0.05702 & 0.4838 & 0.314987 \tabularnewline
25 & 0.037776 & 0.3205 & 0.374744 \tabularnewline
26 & 0.024664 & 0.2093 & 0.41741 \tabularnewline
27 & 0.004471 & 0.0379 & 0.484922 \tabularnewline
28 & -0.012056 & -0.1023 & 0.459404 \tabularnewline
29 & -0.027685 & -0.2349 & 0.407471 \tabularnewline
30 & -0.051277 & -0.4351 & 0.332397 \tabularnewline
31 & -0.070609 & -0.5991 & 0.275482 \tabularnewline
32 & -0.091661 & -0.7778 & 0.219627 \tabularnewline
33 & -0.109976 & -0.9332 & 0.176923 \tabularnewline
34 & -0.137838 & -1.1696 & 0.123011 \tabularnewline
35 & -0.166585 & -1.4135 & 0.080906 \tabularnewline
36 & -0.19097 & -1.6204 & 0.054755 \tabularnewline
37 & -0.201504 & -1.7098 & 0.045803 \tabularnewline
38 & -0.211836 & -1.7975 & 0.038225 \tabularnewline
39 & -0.219211 & -1.8601 & 0.03348 \tabularnewline
40 & -0.229138 & -1.9443 & 0.027883 \tabularnewline
41 & -0.237407 & -2.0145 & 0.023848 \tabularnewline
42 & -0.244034 & -2.0707 & 0.020986 \tabularnewline
43 & -0.248591 & -2.1094 & 0.019195 \tabularnewline
44 & -0.259727 & -2.2039 & 0.015367 \tabularnewline
45 & -0.270256 & -2.2932 & 0.01238 \tabularnewline
46 & -0.275437 & -2.3372 & 0.011108 \tabularnewline
47 & -0.287389 & -2.4386 & 0.008606 \tabularnewline
48 & -0.293524 & -2.4906 & 0.007529 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145819&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]0.930808[/C][C]7.8982[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.866331[/C][C]7.3511[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.810712[/C][C]6.8791[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.750008[/C][C]6.364[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.692253[/C][C]5.874[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.638149[/C][C]5.4149[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.567661[/C][C]4.8168[/C][C]4e-06[/C][/ROW]
[ROW][C]8[/C][C]0.50278[/C][C]4.2662[/C][C]3e-05[/C][/ROW]
[ROW][C]9[/C][C]0.457258[/C][C]3.88[/C][C]0.000114[/C][/ROW]
[ROW][C]10[/C][C]0.417392[/C][C]3.5417[/C][C]0.000351[/C][/ROW]
[ROW][C]11[/C][C]0.382911[/C][C]3.2491[/C][C]0.00088[/C][/ROW]
[ROW][C]12[/C][C]0.351421[/C][C]2.9819[/C][C]0.001953[/C][/ROW]
[ROW][C]13[/C][C]0.319516[/C][C]2.7112[/C][C]0.004189[/C][/ROW]
[ROW][C]14[/C][C]0.289104[/C][C]2.4531[/C][C]0.008292[/C][/ROW]
[ROW][C]15[/C][C]0.267454[/C][C]2.2694[/C][C]0.01312[/C][/ROW]
[ROW][C]16[/C][C]0.248579[/C][C]2.1093[/C][C]0.0192[/C][/ROW]
[ROW][C]17[/C][C]0.232022[/C][C]1.9688[/C][C]0.026415[/C][/ROW]
[ROW][C]18[/C][C]0.211491[/C][C]1.7946[/C][C]0.038461[/C][/ROW]
[ROW][C]19[/C][C]0.193126[/C][C]1.6387[/C][C]0.052816[/C][/ROW]
[ROW][C]20[/C][C]0.173538[/C][C]1.4725[/C][C]0.072619[/C][/ROW]
[ROW][C]21[/C][C]0.150301[/C][C]1.2753[/C][C]0.103144[/C][/ROW]
[ROW][C]22[/C][C]0.119898[/C][C]1.0174[/C][C]0.156192[/C][/ROW]
[ROW][C]23[/C][C]0.083106[/C][C]0.7052[/C][C]0.241489[/C][/ROW]
[ROW][C]24[/C][C]0.05702[/C][C]0.4838[/C][C]0.314987[/C][/ROW]
[ROW][C]25[/C][C]0.037776[/C][C]0.3205[/C][C]0.374744[/C][/ROW]
[ROW][C]26[/C][C]0.024664[/C][C]0.2093[/C][C]0.41741[/C][/ROW]
[ROW][C]27[/C][C]0.004471[/C][C]0.0379[/C][C]0.484922[/C][/ROW]
[ROW][C]28[/C][C]-0.012056[/C][C]-0.1023[/C][C]0.459404[/C][/ROW]
[ROW][C]29[/C][C]-0.027685[/C][C]-0.2349[/C][C]0.407471[/C][/ROW]
[ROW][C]30[/C][C]-0.051277[/C][C]-0.4351[/C][C]0.332397[/C][/ROW]
[ROW][C]31[/C][C]-0.070609[/C][C]-0.5991[/C][C]0.275482[/C][/ROW]
[ROW][C]32[/C][C]-0.091661[/C][C]-0.7778[/C][C]0.219627[/C][/ROW]
[ROW][C]33[/C][C]-0.109976[/C][C]-0.9332[/C][C]0.176923[/C][/ROW]
[ROW][C]34[/C][C]-0.137838[/C][C]-1.1696[/C][C]0.123011[/C][/ROW]
[ROW][C]35[/C][C]-0.166585[/C][C]-1.4135[/C][C]0.080906[/C][/ROW]
[ROW][C]36[/C][C]-0.19097[/C][C]-1.6204[/C][C]0.054755[/C][/ROW]
[ROW][C]37[/C][C]-0.201504[/C][C]-1.7098[/C][C]0.045803[/C][/ROW]
[ROW][C]38[/C][C]-0.211836[/C][C]-1.7975[/C][C]0.038225[/C][/ROW]
[ROW][C]39[/C][C]-0.219211[/C][C]-1.8601[/C][C]0.03348[/C][/ROW]
[ROW][C]40[/C][C]-0.229138[/C][C]-1.9443[/C][C]0.027883[/C][/ROW]
[ROW][C]41[/C][C]-0.237407[/C][C]-2.0145[/C][C]0.023848[/C][/ROW]
[ROW][C]42[/C][C]-0.244034[/C][C]-2.0707[/C][C]0.020986[/C][/ROW]
[ROW][C]43[/C][C]-0.248591[/C][C]-2.1094[/C][C]0.019195[/C][/ROW]
[ROW][C]44[/C][C]-0.259727[/C][C]-2.2039[/C][C]0.015367[/C][/ROW]
[ROW][C]45[/C][C]-0.270256[/C][C]-2.2932[/C][C]0.01238[/C][/ROW]
[ROW][C]46[/C][C]-0.275437[/C][C]-2.3372[/C][C]0.011108[/C][/ROW]
[ROW][C]47[/C][C]-0.287389[/C][C]-2.4386[/C][C]0.008606[/C][/ROW]
[ROW][C]48[/C][C]-0.293524[/C][C]-2.4906[/C][C]0.007529[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145819&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145819&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
10.9308087.89820
20.8663317.35110
30.8107126.87910
40.7500086.3640
50.6922535.8740
60.6381495.41490
70.5676614.81684e-06
80.502784.26623e-05
90.4572583.880.000114
100.4173923.54170.000351
110.3829113.24910.00088
120.3514212.98190.001953
130.3195162.71120.004189
140.2891042.45310.008292
150.2674542.26940.01312
160.2485792.10930.0192
170.2320221.96880.026415
180.2114911.79460.038461
190.1931261.63870.052816
200.1735381.47250.072619
210.1503011.27530.103144
220.1198981.01740.156192
230.0831060.70520.241489
240.057020.48380.314987
250.0377760.32050.374744
260.0246640.20930.41741
270.0044710.03790.484922
28-0.012056-0.10230.459404
29-0.027685-0.23490.407471
30-0.051277-0.43510.332397
31-0.070609-0.59910.275482
32-0.091661-0.77780.219627
33-0.109976-0.93320.176923
34-0.137838-1.16960.123011
35-0.166585-1.41350.080906
36-0.19097-1.62040.054755
37-0.201504-1.70980.045803
38-0.211836-1.79750.038225
39-0.219211-1.86010.03348
40-0.229138-1.94430.027883
41-0.237407-2.01450.023848
42-0.244034-2.07070.020986
43-0.248591-2.10940.019195
44-0.259727-2.20390.015367
45-0.270256-2.29320.01238
46-0.275437-2.33720.011108
47-0.287389-2.43860.008606
48-0.293524-2.49060.007529







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9308087.89820
2-0.000539-0.00460.498183
30.0328670.27890.390565
4-0.06473-0.54920.292267
5-0.010592-0.08990.464319
6-0.009738-0.08260.467187
7-0.151017-1.28140.102078
8-0.007237-0.06140.475602
90.0918430.77930.219175
100.0319990.27150.393383
110.0243790.20690.418351
12-0.008078-0.06850.472772
13-0.006858-0.05820.476878
14-0.016905-0.14340.443171
150.0144150.12230.451497
160.0027520.02340.490717
170.0155030.13150.447856
18-0.036195-0.30710.379818
190.0107550.09130.46377
20-0.022087-0.18740.425931
21-0.049894-0.42340.336645
22-0.080513-0.68320.248343
23-0.075079-0.63710.263051
240.0639920.5430.294406
250.0392990.33350.369878
260.0442010.37510.354359
27-0.060207-0.51090.305501
280.0142440.12090.452068
29-0.014611-0.1240.450839
30-0.113591-0.96380.169174
31-0.026224-0.22250.412269
32-0.045977-0.39010.348796
330.0375260.31840.375546
34-0.090013-0.76380.223745
35-0.04302-0.3650.358078
360.0080020.06790.473025
370.0717260.60860.272346
38-0.019789-0.16790.43356
39-0.000117-0.0010.499605
40-0.021646-0.18370.427392
41-0.002227-0.01890.492488
42-0.02523-0.21410.415544
43-0.03379-0.28670.387575
44-0.068772-0.58360.280673
45-0.025315-0.21480.415263
460.0065540.05560.477903
47-0.05571-0.47270.318923
480.0204620.17360.431323

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.930808 & 7.8982 & 0 \tabularnewline
2 & -0.000539 & -0.0046 & 0.498183 \tabularnewline
3 & 0.032867 & 0.2789 & 0.390565 \tabularnewline
4 & -0.06473 & -0.5492 & 0.292267 \tabularnewline
5 & -0.010592 & -0.0899 & 0.464319 \tabularnewline
6 & -0.009738 & -0.0826 & 0.467187 \tabularnewline
7 & -0.151017 & -1.2814 & 0.102078 \tabularnewline
8 & -0.007237 & -0.0614 & 0.475602 \tabularnewline
9 & 0.091843 & 0.7793 & 0.219175 \tabularnewline
10 & 0.031999 & 0.2715 & 0.393383 \tabularnewline
11 & 0.024379 & 0.2069 & 0.418351 \tabularnewline
12 & -0.008078 & -0.0685 & 0.472772 \tabularnewline
13 & -0.006858 & -0.0582 & 0.476878 \tabularnewline
14 & -0.016905 & -0.1434 & 0.443171 \tabularnewline
15 & 0.014415 & 0.1223 & 0.451497 \tabularnewline
16 & 0.002752 & 0.0234 & 0.490717 \tabularnewline
17 & 0.015503 & 0.1315 & 0.447856 \tabularnewline
18 & -0.036195 & -0.3071 & 0.379818 \tabularnewline
19 & 0.010755 & 0.0913 & 0.46377 \tabularnewline
20 & -0.022087 & -0.1874 & 0.425931 \tabularnewline
21 & -0.049894 & -0.4234 & 0.336645 \tabularnewline
22 & -0.080513 & -0.6832 & 0.248343 \tabularnewline
23 & -0.075079 & -0.6371 & 0.263051 \tabularnewline
24 & 0.063992 & 0.543 & 0.294406 \tabularnewline
25 & 0.039299 & 0.3335 & 0.369878 \tabularnewline
26 & 0.044201 & 0.3751 & 0.354359 \tabularnewline
27 & -0.060207 & -0.5109 & 0.305501 \tabularnewline
28 & 0.014244 & 0.1209 & 0.452068 \tabularnewline
29 & -0.014611 & -0.124 & 0.450839 \tabularnewline
30 & -0.113591 & -0.9638 & 0.169174 \tabularnewline
31 & -0.026224 & -0.2225 & 0.412269 \tabularnewline
32 & -0.045977 & -0.3901 & 0.348796 \tabularnewline
33 & 0.037526 & 0.3184 & 0.375546 \tabularnewline
34 & -0.090013 & -0.7638 & 0.223745 \tabularnewline
35 & -0.04302 & -0.365 & 0.358078 \tabularnewline
36 & 0.008002 & 0.0679 & 0.473025 \tabularnewline
37 & 0.071726 & 0.6086 & 0.272346 \tabularnewline
38 & -0.019789 & -0.1679 & 0.43356 \tabularnewline
39 & -0.000117 & -0.001 & 0.499605 \tabularnewline
40 & -0.021646 & -0.1837 & 0.427392 \tabularnewline
41 & -0.002227 & -0.0189 & 0.492488 \tabularnewline
42 & -0.02523 & -0.2141 & 0.415544 \tabularnewline
43 & -0.03379 & -0.2867 & 0.387575 \tabularnewline
44 & -0.068772 & -0.5836 & 0.280673 \tabularnewline
45 & -0.025315 & -0.2148 & 0.415263 \tabularnewline
46 & 0.006554 & 0.0556 & 0.477903 \tabularnewline
47 & -0.05571 & -0.4727 & 0.318923 \tabularnewline
48 & 0.020462 & 0.1736 & 0.431323 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145819&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]0.930808[/C][C]7.8982[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.000539[/C][C]-0.0046[/C][C]0.498183[/C][/ROW]
[ROW][C]3[/C][C]0.032867[/C][C]0.2789[/C][C]0.390565[/C][/ROW]
[ROW][C]4[/C][C]-0.06473[/C][C]-0.5492[/C][C]0.292267[/C][/ROW]
[ROW][C]5[/C][C]-0.010592[/C][C]-0.0899[/C][C]0.464319[/C][/ROW]
[ROW][C]6[/C][C]-0.009738[/C][C]-0.0826[/C][C]0.467187[/C][/ROW]
[ROW][C]7[/C][C]-0.151017[/C][C]-1.2814[/C][C]0.102078[/C][/ROW]
[ROW][C]8[/C][C]-0.007237[/C][C]-0.0614[/C][C]0.475602[/C][/ROW]
[ROW][C]9[/C][C]0.091843[/C][C]0.7793[/C][C]0.219175[/C][/ROW]
[ROW][C]10[/C][C]0.031999[/C][C]0.2715[/C][C]0.393383[/C][/ROW]
[ROW][C]11[/C][C]0.024379[/C][C]0.2069[/C][C]0.418351[/C][/ROW]
[ROW][C]12[/C][C]-0.008078[/C][C]-0.0685[/C][C]0.472772[/C][/ROW]
[ROW][C]13[/C][C]-0.006858[/C][C]-0.0582[/C][C]0.476878[/C][/ROW]
[ROW][C]14[/C][C]-0.016905[/C][C]-0.1434[/C][C]0.443171[/C][/ROW]
[ROW][C]15[/C][C]0.014415[/C][C]0.1223[/C][C]0.451497[/C][/ROW]
[ROW][C]16[/C][C]0.002752[/C][C]0.0234[/C][C]0.490717[/C][/ROW]
[ROW][C]17[/C][C]0.015503[/C][C]0.1315[/C][C]0.447856[/C][/ROW]
[ROW][C]18[/C][C]-0.036195[/C][C]-0.3071[/C][C]0.379818[/C][/ROW]
[ROW][C]19[/C][C]0.010755[/C][C]0.0913[/C][C]0.46377[/C][/ROW]
[ROW][C]20[/C][C]-0.022087[/C][C]-0.1874[/C][C]0.425931[/C][/ROW]
[ROW][C]21[/C][C]-0.049894[/C][C]-0.4234[/C][C]0.336645[/C][/ROW]
[ROW][C]22[/C][C]-0.080513[/C][C]-0.6832[/C][C]0.248343[/C][/ROW]
[ROW][C]23[/C][C]-0.075079[/C][C]-0.6371[/C][C]0.263051[/C][/ROW]
[ROW][C]24[/C][C]0.063992[/C][C]0.543[/C][C]0.294406[/C][/ROW]
[ROW][C]25[/C][C]0.039299[/C][C]0.3335[/C][C]0.369878[/C][/ROW]
[ROW][C]26[/C][C]0.044201[/C][C]0.3751[/C][C]0.354359[/C][/ROW]
[ROW][C]27[/C][C]-0.060207[/C][C]-0.5109[/C][C]0.305501[/C][/ROW]
[ROW][C]28[/C][C]0.014244[/C][C]0.1209[/C][C]0.452068[/C][/ROW]
[ROW][C]29[/C][C]-0.014611[/C][C]-0.124[/C][C]0.450839[/C][/ROW]
[ROW][C]30[/C][C]-0.113591[/C][C]-0.9638[/C][C]0.169174[/C][/ROW]
[ROW][C]31[/C][C]-0.026224[/C][C]-0.2225[/C][C]0.412269[/C][/ROW]
[ROW][C]32[/C][C]-0.045977[/C][C]-0.3901[/C][C]0.348796[/C][/ROW]
[ROW][C]33[/C][C]0.037526[/C][C]0.3184[/C][C]0.375546[/C][/ROW]
[ROW][C]34[/C][C]-0.090013[/C][C]-0.7638[/C][C]0.223745[/C][/ROW]
[ROW][C]35[/C][C]-0.04302[/C][C]-0.365[/C][C]0.358078[/C][/ROW]
[ROW][C]36[/C][C]0.008002[/C][C]0.0679[/C][C]0.473025[/C][/ROW]
[ROW][C]37[/C][C]0.071726[/C][C]0.6086[/C][C]0.272346[/C][/ROW]
[ROW][C]38[/C][C]-0.019789[/C][C]-0.1679[/C][C]0.43356[/C][/ROW]
[ROW][C]39[/C][C]-0.000117[/C][C]-0.001[/C][C]0.499605[/C][/ROW]
[ROW][C]40[/C][C]-0.021646[/C][C]-0.1837[/C][C]0.427392[/C][/ROW]
[ROW][C]41[/C][C]-0.002227[/C][C]-0.0189[/C][C]0.492488[/C][/ROW]
[ROW][C]42[/C][C]-0.02523[/C][C]-0.2141[/C][C]0.415544[/C][/ROW]
[ROW][C]43[/C][C]-0.03379[/C][C]-0.2867[/C][C]0.387575[/C][/ROW]
[ROW][C]44[/C][C]-0.068772[/C][C]-0.5836[/C][C]0.280673[/C][/ROW]
[ROW][C]45[/C][C]-0.025315[/C][C]-0.2148[/C][C]0.415263[/C][/ROW]
[ROW][C]46[/C][C]0.006554[/C][C]0.0556[/C][C]0.477903[/C][/ROW]
[ROW][C]47[/C][C]-0.05571[/C][C]-0.4727[/C][C]0.318923[/C][/ROW]
[ROW][C]48[/C][C]0.020462[/C][C]0.1736[/C][C]0.431323[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145819&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145819&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
10.9308087.89820
2-0.000539-0.00460.498183
30.0328670.27890.390565
4-0.06473-0.54920.292267
5-0.010592-0.08990.464319
6-0.009738-0.08260.467187
7-0.151017-1.28140.102078
8-0.007237-0.06140.475602
90.0918430.77930.219175
100.0319990.27150.393383
110.0243790.20690.418351
12-0.008078-0.06850.472772
13-0.006858-0.05820.476878
14-0.016905-0.14340.443171
150.0144150.12230.451497
160.0027520.02340.490717
170.0155030.13150.447856
18-0.036195-0.30710.379818
190.0107550.09130.46377
20-0.022087-0.18740.425931
21-0.049894-0.42340.336645
22-0.080513-0.68320.248343
23-0.075079-0.63710.263051
240.0639920.5430.294406
250.0392990.33350.369878
260.0442010.37510.354359
27-0.060207-0.51090.305501
280.0142440.12090.452068
29-0.014611-0.1240.450839
30-0.113591-0.96380.169174
31-0.026224-0.22250.412269
32-0.045977-0.39010.348796
330.0375260.31840.375546
34-0.090013-0.76380.223745
35-0.04302-0.3650.358078
360.0080020.06790.473025
370.0717260.60860.272346
38-0.019789-0.16790.43356
39-0.000117-0.0010.499605
40-0.021646-0.18370.427392
41-0.002227-0.01890.492488
42-0.02523-0.21410.415544
43-0.03379-0.28670.387575
44-0.068772-0.58360.280673
45-0.025315-0.21480.415263
460.0065540.05560.477903
47-0.05571-0.47270.318923
480.0204620.17360.431323



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)
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')