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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 06 Jan 2008 06:05:30 -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/2008/Jan/06/t11996248997lzat4g602mmft4.htm/, Retrieved Sat, 04 May 2024 21:53:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7786, Retrieved Sat, 04 May 2024 21:53:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF Goudprijs before] [2008-01-06 13:05:30] [fea8286ffce1c0d00dd375fb36de4323] [Current]
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Dataseries X:
10511
10812
10738
10171
9721
9897
9828
9924
10371
10846
10413
10709
10662
10570
10297
10635
10872
10296
10383
10431
10574
10653
10805
10872
10625
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




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=7786&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=7786&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7786&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
017.7460
10.9432317.30620
20.8973966.95120
30.8585076.650
40.8130316.29770
50.7639275.91740
60.7225995.59720
70.6739315.22021e-06
80.6148874.76296e-06
90.5666124.3892.3e-05
100.5120053.9669.9e-05
110.4611783.57230.000353
120.4133263.20160.001093
130.364122.82050.003245
140.3227732.50020.007582
150.2750622.13060.018614
160.2231051.72820.044551
170.1715171.32860.094512
180.1265490.98020.165451
190.0546810.42360.336702
20-0.005739-0.04450.517654
21-0.053408-0.41370.659713
22-0.106193-0.82260.792995
23-0.157976-1.22370.887071
24-0.200691-1.55450.937343
25-0.235329-1.82290.963345
26-0.272414-2.11010.980486
27-0.300079-2.32440.988247
28-0.320824-2.48510.992121
29-0.344903-2.67160.995148
30-0.372336-2.88410.997278
31-0.385878-2.9890.997974
32-0.397898-3.08210.998449
33-0.412592-3.19590.998888
34-0.417329-3.23260.999003
35-0.416036-3.22260.998973
36-0.415843-3.22110.998968
37-0.414335-3.20940.998932
38-0.403349-3.12430.998628
39-0.390271-3.0230.998161
40-0.379708-2.94120.99768
41-0.359075-2.78140.996389
42-0.332928-2.57880.993808
43-0.318689-2.46860.991784
44-0.306472-2.37390.989591
45-0.291345-2.25670.986161
46-0.275259-2.13210.981451
47-0.262533-2.03360.976788

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.943231 & 7.3062 & 0 \tabularnewline
2 & 0.897396 & 6.9512 & 0 \tabularnewline
3 & 0.858507 & 6.65 & 0 \tabularnewline
4 & 0.813031 & 6.2977 & 0 \tabularnewline
5 & 0.763927 & 5.9174 & 0 \tabularnewline
6 & 0.722599 & 5.5972 & 0 \tabularnewline
7 & 0.673931 & 5.2202 & 1e-06 \tabularnewline
8 & 0.614887 & 4.7629 & 6e-06 \tabularnewline
9 & 0.566612 & 4.389 & 2.3e-05 \tabularnewline
10 & 0.512005 & 3.966 & 9.9e-05 \tabularnewline
11 & 0.461178 & 3.5723 & 0.000353 \tabularnewline
12 & 0.413326 & 3.2016 & 0.001093 \tabularnewline
13 & 0.36412 & 2.8205 & 0.003245 \tabularnewline
14 & 0.322773 & 2.5002 & 0.007582 \tabularnewline
15 & 0.275062 & 2.1306 & 0.018614 \tabularnewline
16 & 0.223105 & 1.7282 & 0.044551 \tabularnewline
17 & 0.171517 & 1.3286 & 0.094512 \tabularnewline
18 & 0.126549 & 0.9802 & 0.165451 \tabularnewline
19 & 0.054681 & 0.4236 & 0.336702 \tabularnewline
20 & -0.005739 & -0.0445 & 0.517654 \tabularnewline
21 & -0.053408 & -0.4137 & 0.659713 \tabularnewline
22 & -0.106193 & -0.8226 & 0.792995 \tabularnewline
23 & -0.157976 & -1.2237 & 0.887071 \tabularnewline
24 & -0.200691 & -1.5545 & 0.937343 \tabularnewline
25 & -0.235329 & -1.8229 & 0.963345 \tabularnewline
26 & -0.272414 & -2.1101 & 0.980486 \tabularnewline
27 & -0.300079 & -2.3244 & 0.988247 \tabularnewline
28 & -0.320824 & -2.4851 & 0.992121 \tabularnewline
29 & -0.344903 & -2.6716 & 0.995148 \tabularnewline
30 & -0.372336 & -2.8841 & 0.997278 \tabularnewline
31 & -0.385878 & -2.989 & 0.997974 \tabularnewline
32 & -0.397898 & -3.0821 & 0.998449 \tabularnewline
33 & -0.412592 & -3.1959 & 0.998888 \tabularnewline
34 & -0.417329 & -3.2326 & 0.999003 \tabularnewline
35 & -0.416036 & -3.2226 & 0.998973 \tabularnewline
36 & -0.415843 & -3.2211 & 0.998968 \tabularnewline
37 & -0.414335 & -3.2094 & 0.998932 \tabularnewline
38 & -0.403349 & -3.1243 & 0.998628 \tabularnewline
39 & -0.390271 & -3.023 & 0.998161 \tabularnewline
40 & -0.379708 & -2.9412 & 0.99768 \tabularnewline
41 & -0.359075 & -2.7814 & 0.996389 \tabularnewline
42 & -0.332928 & -2.5788 & 0.993808 \tabularnewline
43 & -0.318689 & -2.4686 & 0.991784 \tabularnewline
44 & -0.306472 & -2.3739 & 0.989591 \tabularnewline
45 & -0.291345 & -2.2567 & 0.986161 \tabularnewline
46 & -0.275259 & -2.1321 & 0.981451 \tabularnewline
47 & -0.262533 & -2.0336 & 0.976788 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7786&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.943231[/C][C]7.3062[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.897396[/C][C]6.9512[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.858507[/C][C]6.65[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.813031[/C][C]6.2977[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.763927[/C][C]5.9174[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.722599[/C][C]5.5972[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.673931[/C][C]5.2202[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.614887[/C][C]4.7629[/C][C]6e-06[/C][/ROW]
[ROW][C]9[/C][C]0.566612[/C][C]4.389[/C][C]2.3e-05[/C][/ROW]
[ROW][C]10[/C][C]0.512005[/C][C]3.966[/C][C]9.9e-05[/C][/ROW]
[ROW][C]11[/C][C]0.461178[/C][C]3.5723[/C][C]0.000353[/C][/ROW]
[ROW][C]12[/C][C]0.413326[/C][C]3.2016[/C][C]0.001093[/C][/ROW]
[ROW][C]13[/C][C]0.36412[/C][C]2.8205[/C][C]0.003245[/C][/ROW]
[ROW][C]14[/C][C]0.322773[/C][C]2.5002[/C][C]0.007582[/C][/ROW]
[ROW][C]15[/C][C]0.275062[/C][C]2.1306[/C][C]0.018614[/C][/ROW]
[ROW][C]16[/C][C]0.223105[/C][C]1.7282[/C][C]0.044551[/C][/ROW]
[ROW][C]17[/C][C]0.171517[/C][C]1.3286[/C][C]0.094512[/C][/ROW]
[ROW][C]18[/C][C]0.126549[/C][C]0.9802[/C][C]0.165451[/C][/ROW]
[ROW][C]19[/C][C]0.054681[/C][C]0.4236[/C][C]0.336702[/C][/ROW]
[ROW][C]20[/C][C]-0.005739[/C][C]-0.0445[/C][C]0.517654[/C][/ROW]
[ROW][C]21[/C][C]-0.053408[/C][C]-0.4137[/C][C]0.659713[/C][/ROW]
[ROW][C]22[/C][C]-0.106193[/C][C]-0.8226[/C][C]0.792995[/C][/ROW]
[ROW][C]23[/C][C]-0.157976[/C][C]-1.2237[/C][C]0.887071[/C][/ROW]
[ROW][C]24[/C][C]-0.200691[/C][C]-1.5545[/C][C]0.937343[/C][/ROW]
[ROW][C]25[/C][C]-0.235329[/C][C]-1.8229[/C][C]0.963345[/C][/ROW]
[ROW][C]26[/C][C]-0.272414[/C][C]-2.1101[/C][C]0.980486[/C][/ROW]
[ROW][C]27[/C][C]-0.300079[/C][C]-2.3244[/C][C]0.988247[/C][/ROW]
[ROW][C]28[/C][C]-0.320824[/C][C]-2.4851[/C][C]0.992121[/C][/ROW]
[ROW][C]29[/C][C]-0.344903[/C][C]-2.6716[/C][C]0.995148[/C][/ROW]
[ROW][C]30[/C][C]-0.372336[/C][C]-2.8841[/C][C]0.997278[/C][/ROW]
[ROW][C]31[/C][C]-0.385878[/C][C]-2.989[/C][C]0.997974[/C][/ROW]
[ROW][C]32[/C][C]-0.397898[/C][C]-3.0821[/C][C]0.998449[/C][/ROW]
[ROW][C]33[/C][C]-0.412592[/C][C]-3.1959[/C][C]0.998888[/C][/ROW]
[ROW][C]34[/C][C]-0.417329[/C][C]-3.2326[/C][C]0.999003[/C][/ROW]
[ROW][C]35[/C][C]-0.416036[/C][C]-3.2226[/C][C]0.998973[/C][/ROW]
[ROW][C]36[/C][C]-0.415843[/C][C]-3.2211[/C][C]0.998968[/C][/ROW]
[ROW][C]37[/C][C]-0.414335[/C][C]-3.2094[/C][C]0.998932[/C][/ROW]
[ROW][C]38[/C][C]-0.403349[/C][C]-3.1243[/C][C]0.998628[/C][/ROW]
[ROW][C]39[/C][C]-0.390271[/C][C]-3.023[/C][C]0.998161[/C][/ROW]
[ROW][C]40[/C][C]-0.379708[/C][C]-2.9412[/C][C]0.99768[/C][/ROW]
[ROW][C]41[/C][C]-0.359075[/C][C]-2.7814[/C][C]0.996389[/C][/ROW]
[ROW][C]42[/C][C]-0.332928[/C][C]-2.5788[/C][C]0.993808[/C][/ROW]
[ROW][C]43[/C][C]-0.318689[/C][C]-2.4686[/C][C]0.991784[/C][/ROW]
[ROW][C]44[/C][C]-0.306472[/C][C]-2.3739[/C][C]0.989591[/C][/ROW]
[ROW][C]45[/C][C]-0.291345[/C][C]-2.2567[/C][C]0.986161[/C][/ROW]
[ROW][C]46[/C][C]-0.275259[/C][C]-2.1321[/C][C]0.981451[/C][/ROW]
[ROW][C]47[/C][C]-0.262533[/C][C]-2.0336[/C][C]0.976788[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7786&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7786&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
017.7460
10.9432317.30620
20.8973966.95120
30.8585076.650
40.8130316.29770
50.7639275.91740
60.7225995.59720
70.6739315.22021e-06
80.6148874.76296e-06
90.5666124.3892.3e-05
100.5120053.9669.9e-05
110.4611783.57230.000353
120.4133263.20160.001093
130.364122.82050.003245
140.3227732.50020.007582
150.2750622.13060.018614
160.2231051.72820.044551
170.1715171.32860.094512
180.1265490.98020.165451
190.0546810.42360.336702
20-0.005739-0.04450.517654
21-0.053408-0.41370.659713
22-0.106193-0.82260.792995
23-0.157976-1.22370.887071
24-0.200691-1.55450.937343
25-0.235329-1.82290.963345
26-0.272414-2.11010.980486
27-0.300079-2.32440.988247
28-0.320824-2.48510.992121
29-0.344903-2.67160.995148
30-0.372336-2.88410.997278
31-0.385878-2.9890.997974
32-0.397898-3.08210.998449
33-0.412592-3.19590.998888
34-0.417329-3.23260.999003
35-0.416036-3.22260.998973
36-0.415843-3.22110.998968
37-0.414335-3.20940.998932
38-0.403349-3.12430.998628
39-0.390271-3.0230.998161
40-0.379708-2.94120.99768
41-0.359075-2.78140.996389
42-0.332928-2.57880.993808
43-0.318689-2.46860.991784
44-0.306472-2.37390.989591
45-0.291345-2.25670.986161
46-0.275259-2.13210.981451
47-0.262533-2.03360.976788







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9432317.30620
10.0699010.54150.295101
20.048190.37330.355128
3-0.06837-0.52960.700826
4-0.064193-0.49720.689579
50.0300670.23290.408318
6-0.081265-0.62950.734287
7-0.125644-0.97320.832829
80.0332030.25720.398956
9-0.08428-0.65280.741821
100.0148360.11490.454445
11-0.013351-0.10340.541013
12-0.045621-0.35340.637478
130.0603120.46720.321033
14-0.091071-0.70540.758365
15-0.082757-0.6410.73803
16-0.044618-0.34560.634577
17-0.008564-0.06630.526335
18-0.26935-2.08640.979398
19-0.002838-0.0220.508732
200.0324090.2510.401321
21-0.032524-0.25190.599022
22-0.031328-0.24270.595453
23-0.004709-0.03650.514487
240.072270.55980.28885
25-0.002174-0.01680.506691
26-0.019812-0.15350.560726
270.0406640.3150.376934
28-0.060518-0.46880.679534
29-0.108085-0.83720.797106
300.0752630.5830.281043
31-0.048822-0.37820.646681
32-0.010196-0.0790.531343
330.0596160.46180.322952
340.0292010.22620.41091
35-0.005011-0.03880.515416
360.0440680.34140.367015
370.0245030.18980.425053
38-0.009659-0.07480.529697
39-0.046911-0.36340.641196
400.0576470.44650.32841
410.0321170.24880.402192
42-0.177056-1.37150.912331
43-0.028959-0.22430.588364
44-0.011908-0.09220.536591
45-0.037699-0.2920.614358
46-0.012935-0.10020.539739
470.0525440.4070.342727

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.943231 & 7.3062 & 0 \tabularnewline
1 & 0.069901 & 0.5415 & 0.295101 \tabularnewline
2 & 0.04819 & 0.3733 & 0.355128 \tabularnewline
3 & -0.06837 & -0.5296 & 0.700826 \tabularnewline
4 & -0.064193 & -0.4972 & 0.689579 \tabularnewline
5 & 0.030067 & 0.2329 & 0.408318 \tabularnewline
6 & -0.081265 & -0.6295 & 0.734287 \tabularnewline
7 & -0.125644 & -0.9732 & 0.832829 \tabularnewline
8 & 0.033203 & 0.2572 & 0.398956 \tabularnewline
9 & -0.08428 & -0.6528 & 0.741821 \tabularnewline
10 & 0.014836 & 0.1149 & 0.454445 \tabularnewline
11 & -0.013351 & -0.1034 & 0.541013 \tabularnewline
12 & -0.045621 & -0.3534 & 0.637478 \tabularnewline
13 & 0.060312 & 0.4672 & 0.321033 \tabularnewline
14 & -0.091071 & -0.7054 & 0.758365 \tabularnewline
15 & -0.082757 & -0.641 & 0.73803 \tabularnewline
16 & -0.044618 & -0.3456 & 0.634577 \tabularnewline
17 & -0.008564 & -0.0663 & 0.526335 \tabularnewline
18 & -0.26935 & -2.0864 & 0.979398 \tabularnewline
19 & -0.002838 & -0.022 & 0.508732 \tabularnewline
20 & 0.032409 & 0.251 & 0.401321 \tabularnewline
21 & -0.032524 & -0.2519 & 0.599022 \tabularnewline
22 & -0.031328 & -0.2427 & 0.595453 \tabularnewline
23 & -0.004709 & -0.0365 & 0.514487 \tabularnewline
24 & 0.07227 & 0.5598 & 0.28885 \tabularnewline
25 & -0.002174 & -0.0168 & 0.506691 \tabularnewline
26 & -0.019812 & -0.1535 & 0.560726 \tabularnewline
27 & 0.040664 & 0.315 & 0.376934 \tabularnewline
28 & -0.060518 & -0.4688 & 0.679534 \tabularnewline
29 & -0.108085 & -0.8372 & 0.797106 \tabularnewline
30 & 0.075263 & 0.583 & 0.281043 \tabularnewline
31 & -0.048822 & -0.3782 & 0.646681 \tabularnewline
32 & -0.010196 & -0.079 & 0.531343 \tabularnewline
33 & 0.059616 & 0.4618 & 0.322952 \tabularnewline
34 & 0.029201 & 0.2262 & 0.41091 \tabularnewline
35 & -0.005011 & -0.0388 & 0.515416 \tabularnewline
36 & 0.044068 & 0.3414 & 0.367015 \tabularnewline
37 & 0.024503 & 0.1898 & 0.425053 \tabularnewline
38 & -0.009659 & -0.0748 & 0.529697 \tabularnewline
39 & -0.046911 & -0.3634 & 0.641196 \tabularnewline
40 & 0.057647 & 0.4465 & 0.32841 \tabularnewline
41 & 0.032117 & 0.2488 & 0.402192 \tabularnewline
42 & -0.177056 & -1.3715 & 0.912331 \tabularnewline
43 & -0.028959 & -0.2243 & 0.588364 \tabularnewline
44 & -0.011908 & -0.0922 & 0.536591 \tabularnewline
45 & -0.037699 & -0.292 & 0.614358 \tabularnewline
46 & -0.012935 & -0.1002 & 0.539739 \tabularnewline
47 & 0.052544 & 0.407 & 0.342727 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7786&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]0.943231[/C][C]7.3062[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.069901[/C][C]0.5415[/C][C]0.295101[/C][/ROW]
[ROW][C]2[/C][C]0.04819[/C][C]0.3733[/C][C]0.355128[/C][/ROW]
[ROW][C]3[/C][C]-0.06837[/C][C]-0.5296[/C][C]0.700826[/C][/ROW]
[ROW][C]4[/C][C]-0.064193[/C][C]-0.4972[/C][C]0.689579[/C][/ROW]
[ROW][C]5[/C][C]0.030067[/C][C]0.2329[/C][C]0.408318[/C][/ROW]
[ROW][C]6[/C][C]-0.081265[/C][C]-0.6295[/C][C]0.734287[/C][/ROW]
[ROW][C]7[/C][C]-0.125644[/C][C]-0.9732[/C][C]0.832829[/C][/ROW]
[ROW][C]8[/C][C]0.033203[/C][C]0.2572[/C][C]0.398956[/C][/ROW]
[ROW][C]9[/C][C]-0.08428[/C][C]-0.6528[/C][C]0.741821[/C][/ROW]
[ROW][C]10[/C][C]0.014836[/C][C]0.1149[/C][C]0.454445[/C][/ROW]
[ROW][C]11[/C][C]-0.013351[/C][C]-0.1034[/C][C]0.541013[/C][/ROW]
[ROW][C]12[/C][C]-0.045621[/C][C]-0.3534[/C][C]0.637478[/C][/ROW]
[ROW][C]13[/C][C]0.060312[/C][C]0.4672[/C][C]0.321033[/C][/ROW]
[ROW][C]14[/C][C]-0.091071[/C][C]-0.7054[/C][C]0.758365[/C][/ROW]
[ROW][C]15[/C][C]-0.082757[/C][C]-0.641[/C][C]0.73803[/C][/ROW]
[ROW][C]16[/C][C]-0.044618[/C][C]-0.3456[/C][C]0.634577[/C][/ROW]
[ROW][C]17[/C][C]-0.008564[/C][C]-0.0663[/C][C]0.526335[/C][/ROW]
[ROW][C]18[/C][C]-0.26935[/C][C]-2.0864[/C][C]0.979398[/C][/ROW]
[ROW][C]19[/C][C]-0.002838[/C][C]-0.022[/C][C]0.508732[/C][/ROW]
[ROW][C]20[/C][C]0.032409[/C][C]0.251[/C][C]0.401321[/C][/ROW]
[ROW][C]21[/C][C]-0.032524[/C][C]-0.2519[/C][C]0.599022[/C][/ROW]
[ROW][C]22[/C][C]-0.031328[/C][C]-0.2427[/C][C]0.595453[/C][/ROW]
[ROW][C]23[/C][C]-0.004709[/C][C]-0.0365[/C][C]0.514487[/C][/ROW]
[ROW][C]24[/C][C]0.07227[/C][C]0.5598[/C][C]0.28885[/C][/ROW]
[ROW][C]25[/C][C]-0.002174[/C][C]-0.0168[/C][C]0.506691[/C][/ROW]
[ROW][C]26[/C][C]-0.019812[/C][C]-0.1535[/C][C]0.560726[/C][/ROW]
[ROW][C]27[/C][C]0.040664[/C][C]0.315[/C][C]0.376934[/C][/ROW]
[ROW][C]28[/C][C]-0.060518[/C][C]-0.4688[/C][C]0.679534[/C][/ROW]
[ROW][C]29[/C][C]-0.108085[/C][C]-0.8372[/C][C]0.797106[/C][/ROW]
[ROW][C]30[/C][C]0.075263[/C][C]0.583[/C][C]0.281043[/C][/ROW]
[ROW][C]31[/C][C]-0.048822[/C][C]-0.3782[/C][C]0.646681[/C][/ROW]
[ROW][C]32[/C][C]-0.010196[/C][C]-0.079[/C][C]0.531343[/C][/ROW]
[ROW][C]33[/C][C]0.059616[/C][C]0.4618[/C][C]0.322952[/C][/ROW]
[ROW][C]34[/C][C]0.029201[/C][C]0.2262[/C][C]0.41091[/C][/ROW]
[ROW][C]35[/C][C]-0.005011[/C][C]-0.0388[/C][C]0.515416[/C][/ROW]
[ROW][C]36[/C][C]0.044068[/C][C]0.3414[/C][C]0.367015[/C][/ROW]
[ROW][C]37[/C][C]0.024503[/C][C]0.1898[/C][C]0.425053[/C][/ROW]
[ROW][C]38[/C][C]-0.009659[/C][C]-0.0748[/C][C]0.529697[/C][/ROW]
[ROW][C]39[/C][C]-0.046911[/C][C]-0.3634[/C][C]0.641196[/C][/ROW]
[ROW][C]40[/C][C]0.057647[/C][C]0.4465[/C][C]0.32841[/C][/ROW]
[ROW][C]41[/C][C]0.032117[/C][C]0.2488[/C][C]0.402192[/C][/ROW]
[ROW][C]42[/C][C]-0.177056[/C][C]-1.3715[/C][C]0.912331[/C][/ROW]
[ROW][C]43[/C][C]-0.028959[/C][C]-0.2243[/C][C]0.588364[/C][/ROW]
[ROW][C]44[/C][C]-0.011908[/C][C]-0.0922[/C][C]0.536591[/C][/ROW]
[ROW][C]45[/C][C]-0.037699[/C][C]-0.292[/C][C]0.614358[/C][/ROW]
[ROW][C]46[/C][C]-0.012935[/C][C]-0.1002[/C][C]0.539739[/C][/ROW]
[ROW][C]47[/C][C]0.052544[/C][C]0.407[/C][C]0.342727[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7786&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7786&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
00.9432317.30620
10.0699010.54150.295101
20.048190.37330.355128
3-0.06837-0.52960.700826
4-0.064193-0.49720.689579
50.0300670.23290.408318
6-0.081265-0.62950.734287
7-0.125644-0.97320.832829
80.0332030.25720.398956
9-0.08428-0.65280.741821
100.0148360.11490.454445
11-0.013351-0.10340.541013
12-0.045621-0.35340.637478
130.0603120.46720.321033
14-0.091071-0.70540.758365
15-0.082757-0.6410.73803
16-0.044618-0.34560.634577
17-0.008564-0.06630.526335
18-0.26935-2.08640.979398
19-0.002838-0.0220.508732
200.0324090.2510.401321
21-0.032524-0.25190.599022
22-0.031328-0.24270.595453
23-0.004709-0.03650.514487
240.072270.55980.28885
25-0.002174-0.01680.506691
26-0.019812-0.15350.560726
270.0406640.3150.376934
28-0.060518-0.46880.679534
29-0.108085-0.83720.797106
300.0752630.5830.281043
31-0.048822-0.37820.646681
32-0.010196-0.0790.531343
330.0596160.46180.322952
340.0292010.22620.41091
35-0.005011-0.03880.515416
360.0440680.34140.367015
370.0245030.18980.425053
38-0.009659-0.07480.529697
39-0.046911-0.36340.641196
400.0576470.44650.32841
410.0321170.24880.402192
42-0.177056-1.37150.912331
43-0.028959-0.22430.588364
44-0.011908-0.09220.536591
45-0.037699-0.2920.614358
46-0.012935-0.10020.539739
470.0525440.4070.342727



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 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')